SUMMARY
Given the importance of gut microbial homeostasis in maintaining health, there has been considerable interest in developing innovative therapeutic strategies for restoring gut microbiota. One such approach, fecal microbiota transplantation (FMT), is the main “whole gut microbiome replacement” strategy and has been integrated into clinical practice guidelines for treating recurrent Clostridioides difficile infection (rCDI). Furthermore, the potential application of FMT in other indications such as inflammatory bowel disease (IBD), metabolic syndrome, and solid tumor malignancies is an area of intense interest and active research. However, the complex and variable nature of FMT makes it challenging to address its precise functionality and to assess clinical efficacy and safety in different disease contexts. In this review, we outline clinical applications, efficacy, durability, and safety of FMT and provide a comprehensive assessment of its procedural and administration aspects. The clinical applications of FMT in children and cancer immunotherapy are also described. We focus on data from human studies in IBD in contrast with rCDI to delineate the putative mechanisms of this treatment in IBD as a model, including colonization resistance and functional restoration through bacterial engraftment, modulating effects of virome/phageome, gut metabolome and host interactions, and immunoregulatory actions of FMT. Furthermore, we comprehensively review omics technologies, metagenomic approaches, and bioinformatics pipelines to characterize complex microbial communities and discuss their limitations. FMT regulatory challenges, ethical considerations, and pharmacomicrobiomics are also highlighted to shed light on future development of tailored microbiome-based therapeutics.
KEYWORDS: fecal microbiota transplantation, human microbiome, Clostridioides difficile infection, microbial engraftment, donor screening
INTRODUCTION
The important role of the human gut microbiome in health and disease has been the subject of extensive research over the past decade. While the structure of a normal or healthy microbiome remains to be defined, alterations in gut microbiota composition and function—broadly termed intestinal dysbiosis or disturbed microbiota—are associated with many diseases. Clostridioides difficile (C. difficile) infection, caused by microbiota disturbance usually provoked by antibiotics, is the “poster child” of such, and the incredible success of fecal microbiota transplantation (FMT) in preventing C. difficile recurrence further confirms causality. This has spawned many clinical studies utilizing FMT as a research tool to modulate the intestinal microbiome for health benefits in other states with disturbed microbiota, including inflammatory bowel disease (IBD) and metabolic syndrome (MetS). The hypothetical axes of the gut with brain, lung, and liver resulted in an increased interest to develop microbiota interventions in many other diseases. These interventional trials, when conducted thoughtfully and with multidisciplinary engagement, have the potential to move beyond associative evidence and can inform potential microbial therapeutic targets in these chronic conditions. In this paper, we first review the “healthy” gut microbiome, and then we discuss different states of disturbed microbiota and the dynamic interaction of microbiota with the human host. We review indications where FMT has achieved variable levels of success, where FMT is recommended in clinical practice, and where promising preliminary results require further investigation. We review evidence from clinical studies, with a focus on randomized trials and systematic reviews/meta-analyses when available. We compare various aspects of FMT treatment regimens, outcome assessments, and potential mechanisms of action in these indications, followed by a review of FMT manufacturing practices including donor screening and selection as well as formulations and storage. A brief overview of microbiome analytical tools relevant to the study of FMT follows. Finally, we summarize challenges and offer insight into knowledge gaps and potential future research directions.
GUT MICROBIOTA
Introduction to the human gut microbiome
Recent advances in high-throughput sequencing techniques have improved our capacity to survey the breadth of the human gastrointestinal (GI) microbiota. Our current view of the gut microbial community has mainly been informed by the MetaHit and the Human Microbiome Project (1, 2). In health, a homeostatic gut microbiota is predominantly composed of Firmicutes and Bacteroidetes, with Actinobacteria, Proteobacteria, Fusobacteria, Verrucomicrobia, and others as minor phyla (3). The predominant genera in the Firmicutes phylum are Clostridium, Lactobacillus, Bacillus, Enterococcus, and Ruminicoccus, whereas Prevotella and Bacteroides are the most common genera in the Bacteroidetes phylum (4). The delicate balance of the gut microbial community is associated with metabolome output and impacts host-microbial interactions.
The sheer length, the unique functions within each segment, and the different speeds at which the luminal contents move contribute to the unique microbial compositions along the digestive tract. The oral cavity mostly harbors Streptococcus, Haemophilus, Rothia, Neisseria, and Veillonella genera (5), while the gastric niche is dominated by Propionibacterium, Lactobacillus, Streptococcus, and Staphylococcus genera (6). The small intestine microbiota is enriched with bile-resistant microorganisms, predominantly Gram-negative bacteria of the order Enterobacterales (of which the family Enterobacteriaceae is most common), and facultative anaerobes of the family Lactobacillaceae (7). The reduction in the concentration of bactericidal agents, together with longer transit time in the large intestinal tract, promotes the growth of fermentative polysaccharide-degrading anaerobes, especially Clostridiaceae and Bacteroidaceae (8).
The description of the microbial landscape in the gut would be incomplete without considering communities of viruses, fungi, and archaea, but they are much less studied than the bacteriome. The gut virome composition is mostly (97.7%) dominated by bacteriophages, which profoundly contribute to bacterial death and lateral gene transfer (9). However, this field remains understudied, and the impact of phages on gut microbiota structure and diseases etiology is still in its infancy (10). Metagenomic evaluation of the fecal virome has led to the identification of novel bacteriophages (81%–93%) that can neither be assigned a bacterial host nor a taxonomic position. These “known unknown” bacteriophages pose a knowledge gap in gut virome research (11). The remaining phage components belong to non-enveloped DNA phages of Caudovirales, Microviridae, and Inoviridae (12).
Saccharomyces, Malassezia, and Candida are yeasts and represent the most prevalent fungal genera in fecal samples of healthy individuals (13). Eukaryotic microbes (protists) are less diverse than viruses and more patchily distributed than bacteria in the human gut (14). Notwithstanding, the influence of the gut protists, especially Blastocystis, on the diversity and structure of the bacterial communities merits consideration of these eukaryotic communities as ecosystem engineers (15). The gut archaeome mostly consists of Euryarchaeota and Crenarchaeota phyla and the Methanobrevibacter and Methanosphaera genera (16). Unlike the gut bacterial community, not a single archaeal species has been deemed a primary pathogen thus far. Given a high degree of inter-individual variability in the gut microbiota composition in health, it is challenging to define a “normal” or “healthy” composition. Furthermore, other aspects of the gut microbiome, such as function, should be considered when defining a healthy microbiome.
Microbiome and the host immune system
Microbial colonization of the human mucosal surfaces is critically involved in the education and maturation of the host immune system, especially during infancy, as exemplified in germ-free (GF) animal models (17). The immune system in GF animals is mostly characterized by the disturbance in the development of gut-associated lymphoid tissues (GALTs). Microbial depletion affects the formation of crypt patches and isolated lymphoid follicles and leads to a substantial reduction in the size of Peyer’s patches and germinal centers (18). GF animals as well as newborns demonstrate significantly fewer key elements of mucosal immunity such as immunoglobulin A (IgA) antibodies, interleukin (IL)−17+CD4+ T (Th17) cells, and B cells, which all are rapidly restored upon microbial colonization (19). Regulation of cellular signaling pathways and microbial gene expressions can orchestrate the production and secretion of cytokines, chemokines, and immune receptors (20).
The gut microbiota is associated with the structural development of GALTs through the recognition of pathogen-associated molecular patterns (PAMPs) by the host pattern recognition receptors (PRRs) (21). PRR-PAMP recognition further contributes to immune homeostasis by stimulating Peyer’s patches through toll-like receptors (TLRs) to provoke the secretion of antimicrobial peptides (AMPs) (22). As the main AMPs presented in the mucus layer, defensins induce pore formation in the bacterial membrane and trap bacteria in extracellular net-like structures termed neutrophil extracellular traps (23). Cathelicidin is the main AMP presented in infancy regardless of microbial composition, which considerably affects the early configuration of the gut microbiota (24). Following early-life development of the gut microbiota, the induction of immune tolerance is essential to regulate the host immune response. Commensal microorganisms can be discriminated from pathogens by the absence of virulence factors and low invasiveness. The inaccessibility and differential affinity of TLRs to commensals may also prevent commensals from initiating cytokine storms (25).
In addition to the direct interaction of the gut microbiota with immunoreceptors, microbial by-products further influence host immunity. As the major microbial metabolites, short-chain fatty acids (SCFAs), mainly acetate (C2), propionate (C3), and butyrate (C4), play a critical role in preserving the integrity of the gut barrier and regulating the host inflammatory response (26). Butyrate promotes the production of tight junction proteins probably through the stimulation of the AMP-activated protein kinase signaling pathway or the suppression of claudin 2 expression (27). Acetate and butyrate further enhance the gut barrier with mucin secretion (28). The effect of SCFAs on TLRs, free fatty acid receptors, G protein-coupled receptors, and histone deacetylase regulates the activation of mitogen-activated protein kinase, c-Jun N-terminal kinase, and nuclear factor kappa B to modulate the secretion of inflammatory and oxidative agents such as IL-8, IL-6, tumor necrosis factor, monocyte chemoattractant protein-1, and inducible nitric oxide synthase (29).
GUT MICROBIOME DISRUPTION
Despite temporal fluctuations by changes in diet, acute illness, or medications, gut microbiota composition is relatively stable during adulthood (Fig. 1). Diversity measurement is important for understanding community structure and dynamics and historically relies on bacterial species as the fundamental unit of analysis (30). Diversity within a given community (alpha diversity) is characterized by the total number of species (species richness), the relative abundance of the species (species evenness), or indices that combine these dimensions. Beta diversity, in contrast, is a measure of dissimilarity between two microbial communities (30). Although defining a healthy microbiota is not currently possible, a “disturbed microbiota” is characterized by shifts in the gut microbial composition and reduced alpha diversity with purported functional alterations in the microbial transcriptome, proteome, or metabolome. The exemplar disease with definitive causality between disturbed microbiota and illness is Clostridioides difficile infection (CDI). In many other chronic conditions, most with complex pathophysiology, the relationship remains associative. One common feature in many of these conditions is intestinal barrier dysfunction, which can lead to increased oxygen tension within the gut lumen resulting in mucin degradation and alterations in redox potential and microbial community structure (31). This disturbed microbial state is purported to facilitate intestinal inflammation. Collateral damage of the host inflammatory response includes epithelial necrosis, which leads to an increased presence of phospholipids that can be utilized as carbon and/or nitrogen source by certain microbes (32). Enteric infections and gut inflammation promote elevated mucin secretion to accelerate pathogen expulsion and preserve mucosal integrity. Furthermore, disruption of the resident microbiota by antibiotics and subsequent changes in the availability of the mucosal carbohydrates within an inflammatory milieu in the gut lumen can be exploited by enteric pathogens such as Salmonella Typhimurium and C. difficile to expand and induce host inflammation (33, 34). Mucosal hypoxia is another attribute of the mucus layer during gut inflammation, as highlighted by the respiratory flexibility of Enterobacterales to colonize the gut in low oxygen tension by utilizing nitrate, nitrite, trimethylamine-N-oxide (TMAO), and fumarate (35). Host inflammatory response triggers the production of reactive nitrogen species by epithelial cells and neutrophils and favors Escherichia coli nitrate respiration (36). However, the higher oxygen concentration of the lamina propria as a result of increased blood flow in the inflamed tissue favors colonization of facultative anaerobes, preventing the proliferation of obligate anaerobes such as butyrate-producing Clostridia (37). Depletion of obligate anaerobes from the Firmicutes and Bacteroidetes phyla results in disrupted gut microbiota with overgrowth of low abundance taxa or potentially pathogenic bacteria, and also facilitates the transfer of virulence factors and antibiotic resistance genes (38, 39).
Fig 1.
Multi-modal impact of indigenous and environmental factors on the gut microbiota. Several factors contribute to the structure and maintenance of a healthy gut microbiota (genetics, diet, birth mode, and lifestyle), while others could disrupt the microbial composition (medications, stress, western diet, and diseases) and trigger inflammatory responses. Microbiome disturbance reduces the thickness of the mucus layer and stimulates the production of inflammatory cytokines IFN-γ, TNF-α, and IL-1β. Intestinal inflammation and microbial disturbance further disrupt the indigenous composition of the host microbiome.
C. difficile is an obligately anaerobic Gram-positive, spore-forming rod-shaped bacterium. It spreads among humans and animals through the fecal-oral route and the environment and can cause CDI by production of toxins (40, 41). CDI is considered an iconic model of intestinal microbiota disruption (Fig. 2). Generally, the exposure to C. difficile spores alone is not sufficient for the clinical onset of CDI and requires the coexistence of an altered microbiome, often due to antibiotic use (42, 43). The disturbed microbiome supports spore germination, promotes growth and stimulates toxin production of C. difficile, and alters primary and secondary bile acids ratio (44, 45).
Fig 2.
Main pathogenic mechanisms of C. difficile infection. TcdA binds to the host colonic epithelial cells by glycans and sGAGs, while cognate receptors for TcdB include glycans, nectin 3, CSPG4, and FZD1/2/7 (46). The CDT toxin binds to LSR and undergoes proteolytic cleavage, and CDTa accelerates actin cytoskeleton breakdown and may ultimately facilitate C. difficile adherence (47). C. difficile cell wall PG can stimulate CXCL1 production and neutrophil infiltration in a NOD1-dependent manner (48). C. difficile SLPs are involved in DC maturation and stimulation of inflammatory responses through TLR4 activation (49). Moreover, C. difficile flagellin detection by TLR5 stimulates the activation of MYD88 in the host epithelial cells (50). CSPG4, chondroitin sulfate proteoglycan 4; CXCL1, CXC chemokine ligand 1; FZD1, frizzled 1; LSR, lipolysis-stimulated lipoprotein receptor; NOD1, nucleotide-binding oligomerization domain 1; PG, peptidoglycan; sGAG, sulfate glycosaminoglycan; SLP, surface layer protein.
Although many other diseases, such as IBD or obesity, have also been associated with gut microbiota disruption, it is difficult to identify specific “microbial taxonomic signatures” because of the significant heterogeneity of various studies; however, there can be some generalization. For example, the intestinal microbiota of patients with IBD is generally characterized by reduced alpha diversity and lower temporal stability (51). Multiple studies have linked microbial taxa to IBD, including enriched proinflammatory taxa or decreased beneficial bacteria, discussed further below in the IBD section (52–54). In obesity, an increased Firmicutes-to-Bacteroidetes ratio has been reported in many studies and can facilitate a positive energy gain (55). Similarly, microbial disruption has been associated with irritable bowel syndrome (IBS), chronic liver disease, and autism; however, characterizing these microbial signatures has proven to be challenging.
Although little is known about intestinal virome disruption, emerging evidence suggests that disease-specific alterations in enteric virome composition, which do not appear to be a consequence of changes in bacterial populations, may contribute to bacterial disturbance (56). For example, an increase in viral richness, specifically Caudovirales bacteriophages, has been found in patients with IBD when compared with healthy controls (56). Furthermore, patients with ulcerative colitis (UC) show an expansion of mucosal viruses, especially Caudovirales phages and phages that prey on Enterobacteria, and this correlates with intestinal mucosal inflammation (57). The role of yeasts and fungi in the intestinal microbiome is understudied and will not be reviewed here.
FECAL MICROBIOTA TRANSPLANTATION: INDICATION WITH DEMONSTRATED EFFICACY
The section summarizes the available evidence in recurrent Clostridioides difficile infection (rCDI) where efficacy of FMT is established (Table 1).
TABLE 1.
FMT indication with demonstrated efficacya
| Indication | Level of evidence | Clinical efficacy and durability | Dose/formulation/route and frequency of administration | Patient preparation and effect | Donor selection and effect | Serious adverse events | Clinical applications/comments | Potential strategies to enhance efficacy and safety | Potential mechanisms of action |
|---|---|---|---|---|---|---|---|---|---|
| Recurrent C. difficile infection | Multiple RCTs comparing FMT with a
comparator or comparing different routes or formulations of
administration (58–64). Multiple systematic reviews and meta-analyses (42, 65–67). |
Range from 60% to
>90%. Studies including a control group tend to demonstrate lower clinical efficacy (68, 69). Treatment outcome assessed after >8 weeks post-FMT. Durable/sustained response observed (70). |
Single dose, varying stool
weights. Most studies used aerobically manufactured FMT (61, 62). Outcome generally not affected by formulations (fresh, frozen, lyophilization) (64) or routes of administration (enteral tube, endoscopy, enema, oral capsules) (71). |
Patients on suppressive CDI-directed
antibiotic (e.g., vancomycin) until 24–72 hours prior to
FMT (72). Vancomycin pretreatment to increase engraftment and eradicate C. difficile. Bowel preparation may not be necessary if suppressive antibiotic discontinued >24 hours prior to FMT, or FMT not delivered by colonoscopy (73). |
Single donor. Little donor effect on clinical outcome (74). Donor may need to adjust diet if recipient has a food allergy. |
Transmission of enteric aerobic
Gram-negative organisms resulting in hospitalization and death
due to inadequate donor screening (75). IBD flare in patients with underlying IBD receiving FMT for rCDI (63, 76, 77). Procedure-related complications such as aspiration following sedation for endoscopy and colonic perforation (78). |
Recommended by multiple practice guidelines after two CDI recurrences (72, 79, 80). | Defined microbial consortia to improve
safety (81, 82). Fiber supplementation following FMT to enhance efficacy. Addition of bezlotoxumab in high-risk patients. |
Restored colonization resistance
through a high degree of donor bacterial engraftment and/or
modulation of non-bacterial components (60). Modulation of microbial ecology by virome/phageome and mycobiome (83). Inhibition of C. difficile growth and/or germination through bacterial-derived metabolites (84). Modulation of host immune responses (85). Modulation of host epigenetic responses (86). |
RCTs, randomized controlled trials; UTI, urinary tract infection.
Prevention of recurrent Clostridioides difficile infection
The incidence of CDI has increased in the past two decades (87) and has become a considerable burden for healthcare systems, especially with rCDI. Depending on host immune response and C. difficile ribotype, 20%–40% of patients with CDI can recur after the initial episode, and nearly 65% of these patients will experience multiple recurrences (88). The treatment of patients with rCDI is a major clinical challenge because conventional antimicrobials are largely ineffective to obtain a global cure without recurrences, although the availability of fidaxomicin and bezlotoxumab has significantly decreased recurrence rates (89, 90). FMT has been recommended by several practice guidelines to prevent further CDI in patients with at least two recurrences (58, 91, 92), with efficacy of 80%–90% (93–95). To accommodate patients who may be at risk of significant morbidity or high mortality with subsequent recurrence, the most recent American Gastroenterological Association (AGA) guidelines refrain from specifying two recurrences (96), as there is emerging evidence supporting clinical benefits even after the first recurrence (59).
Many randomized controlled trials (RCTs), systematic reviews, and meta-analyses have built evidence for this indication, examining (i) FMT relative to a comparator (placebo, autologous FMT, no intervention, or antibiotics with activity against C. difficile), (ii) FMT by different routes of administration (enteral tube, oral capsules, colonoscopy, or retention enema), or (iii) FMT by different formulations (fresh, frozen, lyophilized). A recent Cochrane review and meta-analysis of 6 RCTs with 320 participants assessed the efficacy of donor-based FMT for rCDI and found that FMT is highly effective at preventing CDI recurrence compared with the control [risk ratio (RR) 1.92, 95% confidence interval (CI) 1.36–2.71; P = 0.02; numbers needed to treat (NNT) for an additional beneficial outcome (NNT = 3)] (42). Of interest, 1 study with 290 patients found that FMT, compared with vancomycin alone, was associated with a significant decrease in bloodstream infections within 90 days and resulted in an increase in overall survival in hospitalized rCDI patients (97). Although FMT is seen as generally safe, there is no conclusive evidence regarding the safety of FMT for the treatment of rCDI because the number of events was small for serious adverse events (SAEs) and all-cause mortality (42).
The clinical efficacy of FMT for patients with rCDI appears comparable with various modes of delivery (nasoduodenal tube, capsules, gastroscopy, colonoscopy, and enemas) (60–63) or formulation (fresh, frozen, and lyophilized) (62, 64, 98). Examining differences in delivery routes, for example, a systematic review including 305 participants from 14 studies found that FMT delivered via the lower GI route was more effective than via the upper route, with the risk of treatment failure of 8.5% compared with 17.9% at 90 days after FMT (99). Another study including 7 RCTs and 30 case series found the success rate to be higher with the lower GI route of delivery of 95% compared with 88% with the upper route; however, this difference was no longer significant at 81% and 87%, respectively, following a single infusion (65). Two recent studies found success rates to be superior with colonoscopy delivery compared with enema or nasogastric tube delivery but comparable to capsule-delivered treatment (66, 67). Considering different formulations, lyophilized FMT can improve the logistics of product storage and shelf life and has demonstrated clinical efficacy in an open-label cohort with as few as two to three capsules (total dose ≈2.1–2.5 × 1011 cells) (98, 100). Another small RCT compared colonoscopically delivered 50 g of donor stool in fresh, frozen, or lyophilized formulations and found cure rates of 100%, 83%, and 78%, respectively, with no statistically significant difference between the frozen and lyophilized FMT treatments (64). Although no study has directly compared different doses, a fecal amount of <50 g is associated with lower efficacy (94). It is also not known if bowel preparation is essential prior to FMT, provided sufficient time has elapsed from vancomycin treatment, because vancomycin can persist in the colon for up to 7 days. It should be noted that these observations only apply to patients with rCDI.
Single-donor (related, or more commonly unrelated) instead of pooled multi-donor products are used in the treatment of rCDI (60–63). From a safety perspective, a single-donor-derived product is safer and easier to track as there is always a 1:1 ratio between donor and recipient to mitigate potential risks of disease transmission. Moreover, a single donor also reduces the number of potential confounders because each donor likely has a stable diet and lifestyle. Data from OpenBiome, the largest public stool bank in the US, have not indicated a donor effect in the clinical efficacy of 1,999 FMT-treated rCDI patients from 28 donors, with an overall cure rate of 84.4% (74). Moreover, because the success rate is high, there is no obvious advantage to consider pooled multiple-donor FMT products. Regulatory guidelines from the United States Food and Drug Administration (FDA) and Health Canada and several clinical practice guidelines also recommend that FMT products should be derived from a single donor (101, 102). On the basis of available evidence, it is difficult to conclude the ideal dosage, route of administration, or formulation of FMT for rCDI, and there is no consensus on the ideal dosage, route of administration, or formulation. FMT success may not critically depend on these variables, and how it is administered may be influenced by a clinician’s evaluation of patient factors, provider expertise, healthcare infrastructure, and product availability.
FECAL MICROBIOTA TRANSPLANTATION: INDICATIONS WITH PRELIMINARY DATA REQUIRING FURTHER CONFIRMATION
Modulating the gut microbiota for health benefit has been demonstrated by the remarkable efficacy of FMT in preventing recurrent CDI, and there is a growing interest in applying FMT as a research tool across a multitude of indications beyond rCDI (Fig. 3 and 4). The section summarizes the available evidence in a few key indications where preliminary data exist requiring further confirmation (Table 2).
Fig 3.
Evolution of FMT in clinical practice and research. The timeline describes the history of FMT-based therapy and key clinical studies for different disorders.
Fig 4.
Registered clinical trials of FMT application as of July 2023. NAFLD, non-alcoholic fatty liver disease; NASH, non-alcoholic steatohepatitis; GVHD, graft-versus-host disease; HSCT, hematopoietic stem cell transplant; MDRO, multidrug-resistant organism.
TABLE 2.
FMT indications with promising efficacy requiring further confirmationa
| Indications | Highest level of evidence | Clinical efficacy and durability | Dose/formulation/route and frequency of administration | Patient preparation and effect | Donor selection and effect | Serious adverse events | Clinical applications | Potential strategies to enhance efficacy and safety | Potential mechanisms of action |
|---|---|---|---|---|---|---|---|---|---|
| Fulminant C. difficile infection | Mostly case series (103–106); one small RCT comparing single versus multiple FMT (107); systematic reviews (108, 109). | Durable response (106). | Multiple dosing more efficacious than
single dosing (107). Most studies evaluated colonoscopy-delivered FMT (106, 107). |
Bowel prep with colonoscopy-delivered
FMT (106). Most studies continued C. difficile-directed antibiotics with FMT (106). |
Single donor. | Colectomy. Death but likely related to underlying disease rather than FMT. Aspiration pneumonia. Colonic perforation may be procedure related rather than FMT. |
Potential benefit in those who are not surgical candidates (72). | Likely similar to rCDI. | Likely similar to rCDI. |
| Induction of remission in mild to moderate ulcerative colitis | Multiple RCTs comparing FMT to a
comparator with various dosing regimens and routes of
administration (110–115). Multiple systematic reviews and meta-analyses (72, 116–119). |
Range from 30% to 50% (113, 115). Most studies assessed remission at 8–12 weeks after initiating FMT without long-term follow-up (112, 113). Response not durable since disease flare is common without FMT maintenance (111). |
Most studies use multiple doses with
varying donor stool weights, intervals as well as routes of
administration (110). Majority of studies used aerobically manufactured FMT (110). Most studies used fresh or frozen FMT (110); emerging evidence may support lyophilized FMT use (113). |
Most studies did not include
antibiotic pretreatment or bowel preparation prior to FMT (110–112, 115). Bowel preparation necessary with colonoscopy-delivered FMT (112). |
Some studies have used pooled
multiple-donor FMT (111,
112) instead of
single-donor FMT (110,
113) without obvious
increased efficacy. Some studies suggest potential donor effect (110, 111). |
IBD flare, hospitalization, and colectomy, likely related to underlying IBD rather than FMT (111). | Not recommended in clinical
practice. Should be done in the context of clinical trials. |
Pre-FMT treatment with antibiotics to
“open up microbial niches” and enhance bacterial
engraftment (113). Addition of anti-inflammatory diet in recipients to prolong response (120). Matching donor and recipient with similar microbial profiles and dietary patterns (121, 122). Anaerobic FMT manufacturing to preserve strict anaerobes. |
Bacterial engraftment associated with remission but relatively low degree of engraftment compared to rCDI indication (123). |
| Irritable bowel syndrome | Multiple RCTs (124–130) and systematic reviews (72, 131–133). | Most studies have not shown a clinical benefit in stool frequency, consistency, or abdominal pain (124, 126, 130). | Variable dosing, number of sessions,
and routes of administration. Majority of studies used frozen material. |
Most studies used bowel preparation
prior to FMT administration. Most studies did not use antibiotics. |
Most studies used single-donor FMT. | Death by suicide, diverticulitis, likely related to underlying disease rather than FMT. | Not recommended in clinical
practice. Should be done in the context of clinical trials. |
Selection of “super-donors.” | Unknown. |
| Metabolic syndrome | Multiple phase 1–2 RCTs (Table S1). | Potential early positive signal for
lowering insulin resistance; not durable without maintenance FMT
(134, 135). No efficacy on weight loss (136, 137). |
Various administration routes were
used, with no clear indication of preference, although some
evidence exist for the upper route administration in regard to
insulin sensitivity. Most studies use a single FMT session with various doses. Fresh/frozen materials were used in most studies. |
Most studies used bowel preparation
prior to FMT. Most studied did not use antibiotics. |
Material from both single and pooled donors was used. | No significant SAE were reported. | Not recommended in clinical
practice. Should be done in the context of clinical trials. |
Addition of anti-inflammatory diet or fiber supplementation. | Bacterial engraftment. |
| Immune checkpoint inhibitor-induced colitis | One large case series of 12 patients and various smaller case series and case reports (138–141). | Efficacy in more than 80% of the reported case series. | Various routes of administration and various doses (1–3). | No specific preparations. | Single healthy unrelated donors. | Infectious SAEs mostly related to prolonged immune suppression. | Not recommended in clinical practice
(except in the Netherlands). Should be done in the context of clinical trials. |
Important to exclude GI pathogens due to immunosuppression. | Increase in the proportion of Tregs within the colonic mucosa. |
| Supporting immune checkpoint inhibitor therapy in malignancy | Two large case series and one phase 1 study (142–144). | Potential early positive signal. | Two case series: a single FMT
administered colonoscopically together with PD-1
blockade. Phase 1 study; single FMT with capsules. |
Varied from orally ingested antibiotics as pretreatment to only bowel lavage. | Case series used donors treated with
anti-PD-1 with ongoing PR or CR. Phase 1 study used healthy donor stool to prepare FMT capsules. |
Not reported. | Not recommended in clinical
practice. Should be done in the context of clinical trials. Possibly donor effect. |
May have clinical benefit in 30%–65% of the patients. | Response to anti-PD-1, with changes in immune cell infiltrates and gene expression profiles in the gut lamina propria and blood. |
| Alcoholic hepatitis | Several retrospective cohorts, one prospective cohort, and a single RCT reported by a single group of researchers (Table S2). | Potential early positive signal for
improvement of short-term survival (30%–50% reduction in
mortality). One study suggests durable response up to 3 years. |
Most studies used seven sessions of 30 g fresh material via nasoduodenal tube. | No bowel preparation was
given. Most studies did not use antibiotics. |
Single donor. | GI bleeding and spontaneous bacterial peritonitis related to the underlying disease. | Not recommended in clinical
practice. Should be done in the context of clinical trials. |
NA | Unknown. |
| Hepatic encephalopathy (HE) | One prospective cohort; three small RCTs reported by a single group of researchers (Table S2). | Potential early positive signal for improvement in cognitive function and prevention of HE events at 6 months. | Early studies with enema and later
studies with oral capsules. Most studies used ~24–27 g of frozen stool in a single session. |
Early studies used antibiotics (enema) while later studies (oral capsules) did not. | Single donor. | ESBL-producing E. coli bacteremia and hospitalization. | Not recommended in clinical
practice. Should be done in the context of clinical trials. |
NA | Bacterial engraftment. |
| Graft-versus-host disease (GVHD) | Multiple retrospective and prospective cohort studies and case series; one small RCT (Table S3). | Potential early positive signal for clinical response in acute steroid-refractory/dependent GI-GVHD. | Variable dosing, number of sessions (1–8), and routes of administration, using fresh/frozen material. | Stopping prophylactic antibiotics
prior to FMT. Some studies used bowel preparation. |
Most studies used single related/unrelated donor. | Bacterial and viral infections, thrombotic events, respiratory failure likely related to underlying hematologic disease/therapy rather than FMT. | Not recommended in clinical
practice. Should be done in the context of clinical trials. |
Possibly stopping prophylactic antibiotics prior to FMT. | Unknown. |
| Eradication of multidrug-resistant organism (MDRO) carriage | One small phase 1 trial and multiple prospective cohort studies (Table S4). | Potential early positive signal in
MDRO eradication, although definition of eradication
varies. Single RCT did not show a benefit in eradicating CRE or ESBL infections. |
Majority of studies used one to two fresh/frozen FMT treatments, most frequently delivered by the upper route. | Most studies used bowel preparation
prior to FMT when performing colonoscopy. Most studies used gastric acid suppression (PPI). Most studies did not use antibiotics. |
Single donor. | Infections, probably related to underlying medical state. | Not recommended in clinical
practice. Should be done in the context of clinical trials. |
Avoiding the use of antibiotics in the pre-FMT period. | Unknown. |
| Autism spectrum disorder | Case series (Table S5). | Potential early positive signal. | Multiple dosing by either oral or rectal route with varying dosing intervals. | Most studies did not use antibiotics or bowel preparation. | Single donors. | Not reported. | Not recommended in clinical
practice. Should be done in the context of clinical trials. |
Antibiotic pretreatment. | Unknown. |
CR, complete response; CRE, carbapenem-resistant Enterobacterales; ESBL, extended-spectrum beta-lactamase; GI-GVHD, gastrointestinal GVHD; PD-1, programmed cell death protein 1; PPI, proton pump inhibitor; PR, partial response; NA, data not available; Tregs, regulatory T cells.
Adjunct therapy in fulminant CDI
Distinct from rCDI, fulminant CDI (fCDI) is clinically characterized by hypotension or shock, ileus, and toxic megacolon (79). The recommended therapies include (i) oral and/or rectal vancomycin and intravenous metronidazole with (ii) consideration of adding intravenous tigecycline, and (iii) surgery in medically refractory cases (92). Mortality rate can still approach 60% even with surgical intervention (145). In this context, FMT has been used to treat an active infection, in contrast to rCDI where FMT is used to prevent a recurrence. There is less evidence in fCDI than rCDI, and available evidence consists of small retrospective cohort studies and one RCT comparing single versus multiple FMTs (107). Studies varied in definition of fCDI, routes of delivery, FMT doses, frequency or number of treatments, duration of concomitant vancomycin, and follow-up period. The results have been summarized in two recent systematic reviews (108, 109). Because most studies included both severe and fCDI, it is difficult to estimate the success rate of FMT in fCDI; however, the pooled estimate for both populations is approximately 61.3% (95% CI 43.2–78.0) after a single FMT (108), increasing to 88% (95% CI 0.83–0.91) after multiple FMTs (109). The pooled all-cause mortality was 15.6% (95% CI 7.8–25), and the pooled colectomy rate was 8.2% (95% CI 0.1–23.7) after FMT. These results are promising, but future multi-center trials with well-defined inclusion and exclusion criteria and thoughtful and pragmatic treatment protocols are required to validate these potential benefits.
Induction of remission in ulcerative colitis
IBD includes UC and Crohn’s disease (CD) and is characterized by chronic and relapsing inflammation of the intestinal mucosa. The pathogenesis of IBD is linked to several factors, including genetic susceptibility, immune dysregulation, environmental triggers, and alterations of the intestinal microbiome (146). Medical treatments consist of 5-aminosalicylates, immunomodulators, and biologics, with many patients requiring surgery at some point of their disease due to non-response or complications.
The disturbed microbiota in patients with IBD is characterized by both quantitative and qualitative changes: alpha diversity was reduced in both UC (147) and CD (148) patients compared with healthy controls. Additionally, a decrease in the abundance of bacterial species with anti-inflammatory properties, mainly SCFA production (such as Roseburia hominis, Akkermansia muciniphila, Faecalibacterium prausnitzii, and Eubacterium rectale), and an enrichment in proinflammatory species belonging to the Enterobacteriaceae family (such as E. coli) have been reported (148, 149). Patients with IBD also have an increased risk of becoming colonized with C. difficile and subsequently developing rCDI (150). Thus, therapies aimed at restoring gut microbiota using FMT in patients with both IBD and rCDI, and patients with only IBD have received intense interest in recent years. A number of systematic reviews have found FMT to be effective at preventing CDI recurrence in patients with IBD, similar to those without IBD (151–153). However, SAEs may be higher in IBD patients than those without IBD, the most common being IBD flares and IBD-related hospitalization or surgery (151, 154).
Several RCTs have assessed the efficacy of FMT specifically at inducing UC remission (110–114). However, there is considerable variability in study designs, such as the use of single or pooled stool donors, FMT dosage, frequency, routes of administration, and definition of remission. Most studies reported remission rates of approximately 30%–40% with FMT intervention (110–112, 115), much lower than seen for rCDI. A recent Cochrane systematic review including 12 RCTs with 550 participants showed that FMT for UC may increase rates of clinical and endoscopic remission relative to placebo with short follow-up duration of 6–12 weeks (clinical remission: RR 1.79, 95% CI 1.13–2.84; endoscopic remission: RR 1.45, 95% CI 0.64–3.29) (116). The review also found uncertainty about the risk of SAEs, given the low number of events in reported studies (RR 1.77, 95% CI 0.88–3.55), but hospitalization and surgery due to IBD flares have been reported (116). Another systematic review and meta-analysis including 10 randomized and 4 non-randomized studies found the use of a multi-donor strategy to be significantly more effective than single-donor FMT at inducing remission of IBD (117). However, another systematic review and meta-analysis including six high-quality RCTs found no difference in outcomes with respect to single versus multiple donors, fresh versus frozen FMT, or routes of delivery (118). Rates of clinical improvement appeared to be higher with >275 g donor stool (119).
The current evidence of efficacy of FMT in inducing UC remission is promising but limited because of the significant heterogeneity in study design, small sample sizes, and short follow-up durations. UC flares following FMT have been reported, but it remains uncertain whether this was a result of FMT or a natural progression of the IBD itself. Further studies are needed not only to evaluate the efficacy and safety of FMT but also to identify reliable predictors of response.
Treatment for irritable bowel syndrome
IBS is characterized by alterations in stool frequency and consistency and abdominal pain or discomfort. It can be further categorized into IBS-D (diarrhea predominant), IBS-C (constipation predominant), or IBS-M (mixed). The symptoms are chronic and bothersome, resulting in reduced quality of life and productivity, with an estimated annual cost between $1.7 and $10 billion in direct medical costs and $20 billion for indirect costs in the United States (155). The pathophysiology is multifactorial, involving intestinal dysmotility, visceral hypersensitivity, and disordered gut-brain interactions. Traditional therapies such as laxatives, antispasmodics, and promotility agents are only partially effective, leaving many patients dissatisfied with their care (155). There is also evidence linking altered gut immune activation and gut microbiota disturbance to IBS. For example, studies have found differences in the composition of the gut microbiome within a subset of IBS patients compared with healthy individuals (156, 157), as well as reduced diversity, stability, and butyrate- and methane-producing microorganisms (158–160).
FMT has been utilized in nine randomized trials targeting the gut microbiome (124–130, 161), and the results have been summarized in several systematic reviews (131–133). There is significant heterogeneity in inclusion criteria: FMT dose, frequency, duration, and route of administration; follow-up period; and outcome assessments in these studies. The most recent systematic review including 8 RCTs (484 participants) found that one single dose of FMT resulted in no significant benefit to IBS symptoms 3 months after treatment compared with placebo (RR 1.19. 95% CI 0.68–2.10). One positive RCT randomized 165 participants to placebo, 30 g FMT, or 60 g FMT by gastroscopy in a single dose; this study found a significantly higher proportion of patients in the FMT groups, compared with placebo, to have reduced IBS symptom scores by at least 50 points 3 months later [23.6%, 76.9% (P < 0.0001), and 89.1% (P < 0.0001), respectively], accompanied by a significant improvement in quality of life and fatigue. There was also increased relative abundance in Eubacterium biforme, Lactobacillus spp., and Alistipes spp. and reduced relative abundance in Bacteroides spp. in the responders following intervention in the FMT group but not in the placebo group (129). This cohort was followed for 3 years, and the response rate remained high (27%, 64.9%, 71.8%) (162). It should be noted that participants were unblinded after the initial randomized trial, and they became aware of their treatment assignment during the 3-year follow up. Interestingly, this study used a single donor aged 36 who was reported to be very healthy; he was born by vaginal delivery, was breastfed, rarely used antibiotics, and had a very active lifestyle (129).
Most studies did not use antibiotic treatment prior to FMT, although antibiotic pretreatment may facilitate bacterial engraftment (163). One study found that antibiotic pretreatment prior to FMT with ciprofloxacin and metronidazole or rifaximin for 7 days reduced engraftment compared with FMT alone, although the response with the chosen antibiotics is not the same as data from vancomycin treatment (161). Although the overall quality of the evidence was low due to inconsistency, small number of participants, and imprecision (131), there likely is a subgroup of IBS patients who could benefit from FMT with a particular microbiota signature.
Amelioration of metabolic syndrome
Metabolic syndrome with insulin resistance has become a global epidemic in recent decades with substantial morbidity leading to reduced life expectancy. Sustained weight loss is often possible only after bariatric surgery. Newer agents such as glucagon-like peptide-1 agonists have shown promise with substantial weight loss (164–168), although long-term efficacy and safety remain unknown. Many studies have found an association between MetS and intestinal microbiome disruption that not only has altered composition with reduced microbial diversity but also has an increased functional capacity to harvest energy and produce cardiotoxic metabolites (169–171). Given limited therapeutic options and potential relevance of intestinal microbiota, FMT has been used to explore potential therapeutic benefits.
Several RCTs have evaluated FMT in MetS, comparing FMT from lean donors with controls (sham, saline, autologous FMT, or placebo). A single-dose FMT was used in most studies, while one study used weekly dosing for 5 weeks by oral capsules (172). Various endpoints have been included, such as changes in HbA1c, cholesterol, insulin sensitivity, body weight, gut microbiota, or intestinal permeability after FMT. Some studies also included other adjunct therapies, including metformin, diet, fiber supplementation, or exercise. Table S1 in the supplemental material summarizes 18 RCTs comparing FMT with control. Only two studies examined weight loss as a primary outcome, and neither found an effect with FMT. Changes in glycemic control and lipid profiles were examined in four studies with conflicting results. When examining insulin sensitivity as an outcome, five of nine studies have found a positive but transient effect favoring the FMT intervention at weeks 2–6. Most studies have investigated changes in the microbiome after FMT, showing non-consistent shifts in community structures (173). Repeated FMT ± lifestyle modification led to a significant increase in the proportion of “lean” microbiota (>20% of the population) compared with sham + lifestyle modification alone after 24 weeks (100%, 88%, and 22%, respectively) (174), while less intense FMT regimens reported less favorable changes in microbial community of recipients (172, 175). Intestinal barrier function, assessed by the presence of bacteria in the mesentery as a measure of bacterial translocation, did not improve following FMT in one study (176). Similarly, carnitine‐ or choline‐to‐TMAO conversion and markers of arterial wall inflammation did not improve after FMT from lean donors (177–180).
A systematic review in 2020 including 6 RCTs with 154 participants found that 2–6 weeks after intervention, mean HbA1c was lower in the FMT group (MD = −1.69 mmol/L, 95% CI −2.88, –0.56, P = 0.003), and mean HDL cholesterol was higher in the FMT group (MD = 0.09 mmol/L, 95% CI 0.02, 0.15, P = 0.008); however, there were no differences in other clinically important obesity parameters 6–12 weeks after intervention (181). Another systematic review in 2023 including 9 RCTs with 303 participants reported statistically significant changes in the short term in the following parameters in the FMT relative to control groups: fasting blood glucose (MD = −0.12 mmol/L, 95% CI −0.23, –0.01, SD: ±0.04, I2 = 7%), HbA1c (MD = −0.37 mmol/mol, 95% CI −0.73, –0.01, SD: ±0.13, I2 = 46%), HDL cholesterol (MD = 0.07 mmol/L, 95% CI 0.02, 0.11, SD: ±0.02, I2 = 25%), and insulin levels (MD = −24.77 pmol/L, 95% CI −37.60, –11.94, SD: ±4.76, I2 = 0%). Other parameters such as weight, body mass index (BMI), homeostatic model assessment for insulin resistance, and total cholesterol did not differ between groups (182). Given the complex pathophysiology and chronicity of MetS and heterogeneity of these studies, it is not surprising to see these mixed results. While the current evidence suggests a role of the microbiome in MetS, microbial manipulation alone is unlikely to be sufficient; rather, it may eventually be an integral part of a multi-faceted approach (i.e., pharmacotherapy and bariatric surgery) once definitive causality can be demonstrated.
Immune checkpoint inhibitor modulation in patients with malignancy
Immune checkpoint inhibitors (ICI) have become the cornerstone of cancer immunotherapy and have dramatically improved survival in patients with melanoma, lung cancer, gastric cancer, and kidney cancer. Development of severe colitis is one of the most frequent immune-related adverse events (irAEs) in ICI-treated patients (183). Emerging evidence has demonstrated the critical roles of the gut and tumor microbiota in modulating tumor immunosurveillance and response to immunotherapy (184). The influence of the microbiota on the efficacy and irAE of immunotherapy has been observed in patients taking antibiotics (185, 186). As such, targeted modification of the gut microbiota represents an innovative strategy in cancer immunotherapy for treating severe intestinal complications and for enhancing ICI effect (187). For example, case reports and case series have found the efficacy of FMT in resolving ICI-associated colitis (138–141). The microbiota in the recipients had increased alpha diversity and increased abundance in beneficial taxa (e.g., Collinsella and Bifidobacterium), which were depleted prior to FMT in one study. This provides evidence that modulating the gut microbiota may alleviate ICI-associated colitis. Microbiome-based interventions may also augment immune defense against malignant cells. Anti-PD-1 therapy, together with responder-derived FMT, has been shown to modify the tumor microenvironment and promote the response to anti-PD-1 in PD-1-refractory melanoma in two small case series (142, 143). One of these case series found the fecal microbiota of patients after FMT mostly resembled that of the donor, with significant enrichment in the proportion of favorable taxa Lachnospiraceae, Ruminococcaceae, Bifidobacteriaceae, and Coriobacteriaceae and a decreased abundance of Bacteroides species (142). However, an independent analysis of these two case series did not find a correlation between donor microbiota engraftment and anti-PD-1 response in recipients (142, 143, 188).
One potential strategy to enhance donor engraftment is to pretreat recipients with oral vancomycin and neomycin, but there is no consensus on approach. The selection of donors for FMT in studies to complement ICI therapy is also not clear because the two studies used donors who were themselves treated with anti-PD-1 and had partial remission or complete remission (142, 143). A recent multi-center phase I trial combining healthy donor-derived FMT with anti-PD-1 in 20 patients with advanced melanoma showed 4 (20%) patients with a complete response and additional 9 with a partial response. In this study, all responders had engrafted strains from their respective donors, and the engrafted strains increased over time. Furthermore, responders had an enrichment of immunogenic bacteria and a loss of deleterious bacteria after FMT (144).
Although promising, many questions remain. Future and ongoing trials will clarify some of these unanswered questions as to the optimal dose, timing, and donor selection for FMT as an adjunct therapy in various immunotherapy, and how other microbiome-modulating strategies such as probiotics, prebiotics, and diet may be integrated.
Modulation of chronic liver diseases
Observational studies and animal models have unveiled a role for the microbiome in contributing to liver diseases (189). The bidirectional gut-liver axis is implicated in disease pathogenesis and progression to complications (190). The initial inciting event of liver disease varies from alcohol, viral hepatitis, non-alcoholic fatty liver disease (NAFLD), to IBD-associated primary sclerosing cholangitis (PSC). Many studies have found an association between intestinal microbiome disruption and impaired gut barrier function with chronic liver disease (191–193). These inciting events lead to translocation of microbes and microbial products, including endotoxins, resulting in activation of inflammatory pathways and liver fibrosis and may progress to cirrhosis, hepatic encephalopathy, and hepatocellular carcinoma. For example, a study found that colonization of specific microorganisms such as Enterococci in the biliary system in PSC is associated with hepatic decompensation, liver transplantation, and death (194). Some of our current treatments already target the intestinal microbiome, such as the use of lactulose and rifaximin for hepatic encephalopathy or vancomycin, to improve liver enzymes in PSC, but not all patients respond, and the mechanisms of action remain largely unknown. Caring for persons with chronic liver disease is extremely challenging and costly, as there are limited therapeutic options. With increasing understanding of the gut-liver-brain axis, manipulating the intestinal microbiome is a potential therapeutic strategy. FMT has been explored in the context of liver cirrhosis, alcohol-related disorders, hepatic encephalopathy, NAFLD, and PSC (Table S2 in the supplemental material). Most studies used a single FMT as intervention; however, dose and route of administration differed. A small RCT in 20 patients with recurrent hepatic encephalopathy reported fewer encephalopathy events for over 2 years following a single FMT by enema compared with the standard of care alone (195, 196). One small RCT compared FMT with the standard of care in 20 participants with alcohol use disorder and found FMT to be safe and associated with reduced short-term alcohol craving and consumption as well as favorable microbial changes, including higher relative abundance of SCFA-producing taxa. A single RCT compared FMT with prednisone in 112 participants with severe alcoholic hepatitis and found a higher 90-day survival in the FMT group (75%; 45/60) compared with the prednisone group (56.6%; 34/60; P = 0.044) due to a lower infection rate (197). Other studies in patients with alcoholic hepatitis have reported improved survival and HE and a decrease in alcohol craving (198–201). Three RCTs compared FMT with autologous FMT/probiotics in patients with NAFLD and showed a mixed effect on markers of fat accumulation in the liver (176, 202, 203).
Although the current evidence is quite limited, there are promising preliminary results from these FMT intervention trials in patients with chronic liver diseases. However, it is important to note that most studies were very small, conducted in a few centers in United States and India, and results might not be generalizable to other populations; this highlights the need for more research.
Amelioration of graft-versus-host disease
Patients with hematologic conditions undergoing hematopoietic stem cell transplant (HSCT) are at an increased risk for infectious complications, primarily due to profound immune suppression with pre-conditioning chemotherapy. To counter this, many HSCT protocols include multiple courses of antibiotic prophylaxis. Selective and total gut decontamination using orally administered antibiotics have been introduced to prevent infections with Gram-negative bacteria and fungi in some countries. The intestinal microbiota, already affected by hematologic disease, undergoes drastic changes in the post-HSCT period, which include reduced diversity, shifts in microbial taxa and functionality, and single-taxon domination (204). This disturbed state is associated with multidrug-resistant organism (MDRO) carriage and infections, increased incidence of CDI, development of graft-versus-host disease (GVHD), and overall mortality (205–207). GVHD is common in patients who undergo allogenic HSCT, responds poorly to current therapeutic interventions (i.e., steroids and immunosuppressive agents), and has a poor prognosis. The pathophysiology of GVHD remains poorly understood (208), but changes in luminal oxygen levels and metabolites may be associated with its development (209), which is further supported by the finding that antibiotics targeting anaerobes are associated with increased risks of acute gut/liver GVHD (210). A small case series of HSCT recipients who received FMT for rCDI showed improvement in GVHD, which further prompted interest in FMT as a therapeutic tool to treat GVHD, specifically GI-GVHD.
A summary of the current literature on FMT in the setting of HSCT/GVHD is presented in Table S3 in the supplemental material. FMT regimens differed significantly, and the donor was related to the patient/autologous in 5 of 14 studies. Most (10/14) did not administer pre-FMT preparation (i.e., bowel lavage). Steroid-refractory GVHD was the indication for all these studies, and response (partial/complete) was the primary outcome. A meta-analysis of pooled data from five studies (n = 76) published in 2022 reported a 55.9% complete remission rate for steroid-refractory GVHD and an 82.4% overall response rate after FMT (211). Another 2022 review reported that FMT was associated with a 41% complete response rate and 25% partial response rate (n = 242) with a moderate risk of publication bias (212). Lower response rates were observed in prospective studies 64% (95% CI 51%–77%) versus 81% (95% CI 62%–95%) in retrospective studies or case reports. The efficacy of FMT may be reduced in the setting of severe steroid-refractory GVHD due to the uncontrolled disease process that might require systemic intervention. Indeed, two studies used FMT with concurrent ruxolitinib (a selective JAK 1 and 2 inhibitor) for steroid-refractory GVHD and reported high response rates (4/4 and 16/21), suggesting that this option needs further exploration (213, 214).
The timing and number of FMT interventions are important considerations. Early post-HSCT administration of FMT has been shown to reverse the loss of diversity associated with HSCT-related complications and mortality (205, 206, 215, 216). Although FMT is generally considered safe in immunocompetent patients, the evidence in immunocompromised patients—especially those with profound neutropenia—remains sparse (217). Screening protocols for donors are generally more extended in this setting to prevent transmission of viral diseases such as cytomegalovirus (CMV). Cases of post-FMT bacteremia in patients with severe, steroid-refractory GI-GVHD have been reported; however, the sources of these infections remain unclear. A recent review of 242 patients from 23 studies treated with FMT for steroid-resistant/dependent GVHD patients reported 5 (2.1%) patients who experienced FMT-related infection events, all of whom responded to antibiotic therapy (212). Autologous transplantation of pre-HSCT fecal material or defined microbial consortia or live biotherapeutics might provide a personalized approach for FMT administration and enhance engraftment (216).
The high response rate across these small studies underscores the potential benefits of microbial interventions to restore the microbial community and function in GVHD after HSCT. Several ongoing randomized controlled trials may provide further confirmation (ClinicalTrials.gov identifiers: NCT04711967, NCT05067595, NCT04745221).
Multidrug-resistant organism decolonization
Antibiotic resistance has become a major global threat in healthcare systems. Intestinal colonization with MDRO such as extended-spectrum beta-lactamase producing Enterobacterales (ESBL-E), carbapenem-resistant Enterobacterales (CRE), or vancomycin-resistant Enterococci (VRE) can precede invasive infections with high morbidity and mortality, as well as facilitate spread within communities and healthcare facilities (218). The European Society of Clinical Microbiology and Infectious Diseases guidelines do not recommend decolonization with nonabsorbable antibiotics because available evidence for its efficacy is insufficient (219). While strategies to combat MDRO colonization by infection control programs can limit its spread, they do not provide eradication. Although antibiotic use is a risk factor for MDRO carriage, less is known about the degree of gut microbiota disruption in individuals with MDRO colonization than about those who have rCDI. Some studies reported decreased species richness (220–222); however, no differences in diversity parameters or in relative abundance were observed between asymptomatic ESBL carriers compared with non-carriers based on species-level composition in a Dutch case-control study (223). With limited therapeutic options to combat MDRO colonization, novel approaches such as microbial restoration strategies including FMT warrant further consideration, given reduced antibiotic-resistant genes in rCDI patients after FMT (224, 225).
Table S4 in the supplemental material summarizes the current literature on FMT for MDRO decolonization, including 1 RCT, 15 prospective cohort studies, and 5 retrospective studies. They differed in the number of FMT used, delivery route, use of bowel purge, antibiotic pretreatment, definition of eradication, and follow-up periods. Most studies focused on eradication of ESBL-E, CRE, and VRE. A systematic review in 2021 including seven small nonrandomized cohort studies and five case reports found decolonization rates between 20%–90%, and they were slightly higher for CRE-E than for VRE; this review further found reduced MDRO bloodstream and urinary tract infections (218). A 2022 systematic review including three retrospective studies, six prospective cohort studies, and one open-label RCT reported CRE decolonization rate of 61% (55/90) 1 month after FMT (226). Several studies have also reported lower antibiotic resistance genes (227, 228). However, in another RCT, Huttner and colleagues randomized 39 patients to either 5 days of oral nonabsorbable antibiotics followed by frozen FMT or control and found no statistically significant difference in ESBL-E or CRE decolonization rate (9/22 versus 5/17; OR for decolonization success 1.7; 95% CI 0.4–6.4) (229). A recently published RCT of FMT for MDRO decolonization in renal transplant recipients found that FMT-treated participants took longer to develop recurrent MDRO infection; therefore, time to MDRO recolonization and infection could be included as a clinical outcome in future study designs (230).
Although small cohort studies have shown some effect of FMT for MDRO decolonization, evidence remains limited, and questions remain regarding efficacy given spontaneous decolonization. Ongoing RCTs will provide more conclusive data on its efficacy and safety (231, 232).
Amelioration of autism spectrum disorder
Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder defined by deficits in social communication and interaction across multiple contexts with repetitive behaviors and restricted interests increasing in prevalence, estimated to be 1% globally (233, 234). The causes of ASD are complex and poorly understood, including genetic risk factors, de novo mutations, gene-environmental interactions, and environmental factors such as in utero exposure and perinatal events (235). Affected individuals commonly experience GI symptoms (236), which correlate with ASD severity (237, 238). Antibiotic exposure has also been associated with ASD onset and chronic diarrhea, which could be transiently ameliorated by oral vancomycin treatment (239), highlighting the disruption in the gut-brain axis and a potential therapeutic target. Because there are no confirmatory laboratory tests, diagnoses are based on multidisciplinary and developmental assessments (233, 234), and current treatment is aimed at behavioral interventions as no approved medical therapy exists (3).
It is difficult to characterize the microbiome in ASD children. A recent systematic review concluded that although the gut microbiota in ASD children was not consistently different from healthy controls based on alpha and beta diversity across all studies, there were some distinguishing patterns. Specifically, there were lower relative abundances of Prevotella; Clostridia clusters I, II, and XI; and Fusobacteria in ASD children (235). Several studies have also found a correlation between an increased abundance of Proteobacteria and disease severity (235). Bifidobacterium was also consistently found to be lower in counts and proportions in ASD children (235). A more recent study found that a subset of ASD children had an increased lipopolysaccharide-binding protein, positively correlated with IL-8, IL-12, and IL-13, suggestive of disruption of the intestinal barrier and immune dysregulation (240). With emerging data implicating intestinal microbiome disruption in ASD pathophysiology, there is a growing interest in modulating gut microbiota to treat ASD.
Several systematic reviews have examined the effect of FMT on ASD children, but it is important to note that the results are based on small open-label or retrospective cohort studies with sample sizes ranging between 18 and 49 and follow-up periods up to 2 months (241–243). A summary of the current literature on FMT for ASD is presented in Table S5 in the supplemental material. There was significant heterogeneity with respect to pre-FMT treatment (from none to daily vancomycin for 2 weeks) and to actual FMT intervention (from six daily FMT via enteral tube to oral frozen capsules or enema daily for 7 or 8 weeks) (244–247). All studies found a statistically significant decrease in the Autism Behavior Checklist and Childhood Autism Rating Scale scores across all studies compared with baseline scores, and one study even found that the positive change correlated with the number of FMT treatments (242). One of the studies, with a 2-year follow-up, demonstrated persistent improvement in the study cohort after the initial intervention, consisting of vancomycin pre-FMT followed by daily doses of FMT for 8 weeks (247). One study found that after FMT, the gut microbiota of the recipients resembled that of the donors and that of neurotypical children, with increased bacterial diversity and abundances of Bifidobacterium, Prevotella, and Desulfovibrio (245). Another study found a significantly lower relative abundance of Eubacterium coprostanoligenes in responders compared with non-responders and that E. coprostanoligenes had a negative correlation with serum gamma-aminobutyric acid concentrations (244). Although promising, vigorously conducted RCTs are needed before FMT can be considered for treatment of ASD.
Other neurodegenerative diseases
Research on using FMT in humans for other major neurological disorders mainly focuses on multiple sclerosis and Parkinson’s disease, with some promising preliminary results (248–250). Several clinical trials with FMT as treatment for these neurological disorders are ongoing, as well as for amyotrophic lateral sclerosis (248). In contrast, promising data from animal models for stroke, Alzheimer’s disease, and Guillain-Barré syndrome have not yet translated into clinical studies (251–253) and this warrants further investigation.
MECHANISMS UNDERPINNING THE EFFICACY OF FECAL MICROBIOTA TRANSPLANTATION
In understanding the mechanisms underpinning FMT actions, most progress has been made in the context of treating rCDI, which has been extensively reviewed elsewhere (122, 254, 255). Briefly, proposed mechanisms may involve (i) restored colonization resistance through bacterial engraftment and modulation of non-bacterial components, (ii) direct effect on C. difficile through modulation of microbial ecology by the virome/phageome, (iii) inhibition of C. difficile growth and germination through bacteria-derived metabolites, or (iv) modulation of host immune responses and epigenetic responses (121). The main recognized mechanisms contribute to the restoration of gut microbial functionality. With the increasing application of FMT for other conditions, there is emerging evidence describing the mechanistic role of FMT in IBD and MetS. This section focuses on results from human studies in IBD, contrasted with results from treatment of rCDI. The potential mechanisms underpinning the interactions between intestinal microbiota and the immune system in IBD as a model are depicted in Fig. 5.
Fig 5.
Pre- and post-FMT mechanisms underlying the interplay between microbiota and immune system. Before FMT administration, disturbed microbiota can stimulate immune responses that eventually lead to chronic inflammation. Following FMT, microbial restoration is accompanied by high production of anti-inflammatory cytokines, SCFAs, IgA, IgG, and antimicrobial peptides. Immune and metabolite homeostasis results in inflammation amelioration and repair of mucosal layer and epithelial barriers.
Functional restoration of gut homeostasis through bacterial engraftment
Studies have consistently demonstrated restored microbial composition and diversity to resemble that of a healthy donor following successful FMT in rCDI patients, with durable engraftment (256). Engraftment is also assumed to result in a desired outcome in other conditions associated with microbial disruption, such as IBD. Indeed, the microbiota in UC patients who had a response following FMT showed significantly higher diversity and were significantly more similar to their donors (110–112). One study found a decrease in patient-derived Bacteroides spp. and an increase in donor-derived Prevotella spp. and Bacteroides spp. following FMT. Another study found that UC patients who had achieved remission following FMT had enriched Eubacterium halli and Roseburia inulivorans compared with those who did not achieve remission (257). However, the degree of engraftment in IBD is much lower than in rCDI (258) and is not as durable. For example, one study found that the abundance of engrafted microbes was not maintained at 12 months (112). Furthermore, although there does not appear to be any donor effect in rCDI, some FMT for IBD studies have shown a “donor” effect. In an RCT, Moayyedi and colleagues noted that most patients who responded to FMT had received donations from a donor whose microbiome had higher diversity and abundance of family Lachnospiraceae and genus Ruminococcus compared with other donors, and they introduced the notion of “super donors” (110). In another RCT, Paramsothy and colleagues conducted pooled multi-donor FMT and found that UC patients had a higher response rate to FMT using samples from a particular donor, although the overall microbial diversity was higher in the pooled FMT products than in that of single donors: 14/38 (37%) patients treated with FMT from this donor responded compared with 7/40 (18%) patients whose FMT did not include material from this donor (P = 0.054) (111). However, the rates of induction of remission by FMT in RCTs for UC patients to date are not higher in studies that used pooled multi-donor FMT (three to seven donors) compared with those using single donors; all rates of remission are in the range of 30%–50% relative to the control of 5%–20% (110–113, 115).
Factors that determine engraftment are complex and not fully understood. Pretreatment of recipients with vancomycin orally was needed to establish engraftment of a live biotherapeutic product (LBP) of eight commensal Clostridia strains (259). Patients with rCDI are usually on vancomycin prior to receiving FMT, and the degree of their microbial disruption is much more profound than for the other diseases for which FMT is being applied. Recent strain-level metagenomic analyses provide an ecological framework for the effect of FMT (123); these analyses support the importance of deterministic, niche-based processes for post-FMT microbiome assembly, specifically the competition between and exclusion of closely related recipient and donor strains. The outcome of such competition is determined by the fitness of the strains and the relative fitness differences of the incoming and recipient strains. Priority effects, favoring early-arriving strains at an ecological site, generally support recipient strains in undisturbed communities and provide an explanation for the low levels of strain engraftment in UC patients without the antibiotic-induced microbiota disruption seen in rCDI (123, 260). Recent evidence also suggests that metabolic independence is yet another important determinant of engraftment because the “good colonizers” are enriched in metabolic pathways for biosynthesis of essential nutrients (261). Furthermore, while the gut microbial ecosystems of healthy individuals include microbes with both low and high metabolic independence, IBD primarily selects for microbes with high metabolic independence (261), which may, in part, explain the much lower levels of donor microbial engraftment observed following FMT in IBD than in rCDI (123).
Virome/phageome modulating effects
The effect of the gut virome on the efficacy of FMT therapy has received little attention until recently (262, 263). One study found a higher abundance but a lower diversity of Caudovirales bacteriophages in stool samples of rCDI patients prior to FMT (83); a similar pattern was found in IBD patients where there was a significant expansion of Caudovirales bacteriophages compared with healthy controls (56, 57). Following successful FMT for rCDI, there was a significant decrease in the abundance of Caudovirales and an increase in donor-derived Caudovirales in the recipient virome (83). Another pilot study examining fecal filtrate to treat rCDI found the recipient’s virome composition to resemble that of the donor, further suggesting viral engraftment (264). In a study examining FMT in UC patients, Conceicao-Neto and colleagues found lower richness of the virome in healthy donors and in UC patients who were responders (265) and identified nine donor-derived phage operational taxonomic units in a responder. They went on to suggest that eukaryotic virome richness could be used as a potential diagnostic marker for UC and response to FMT, although this was based on a small sample size of nine patients (265). Likewise, a resemblance in the virome profile of pediatric UC patients toward the donor profile was reported following successful FMT in another study, although this shift is less pronounced than the shift in the bacteriome (266). While interpreting the sole impact of the fecal virome on the recipient microbial community and clinical outcome is difficult because of the presence of various other components in human stool, fecal virome transplantation has been demonstrated to potentially contribute to microbiota restoration in pre-clinical and clinical models, including MetS (267–271). Engrafted donor virome could adhere to the gut mucus layer and prevent bacterial attachment and colonization. In addition to modulating the bacteriome, bacteriophages could regulate bacterial function, metabolism, and virulence (272). Further studies should investigate bacterial alterations upon phage predation and how they can be exploited to improve clinical outcomes.
Microbial metabolites
The best-characterized bacteria-derived metabolites mediating the efficacy of FMT in rCDI are bile acids and SCFAs, and restored metabolism and increased levels of secondary bile acids and SCFA are observed following successful rCDI (84, 273–275). The relevance of these metabolites is not as well described or known in IBD. For example, Paramsothy and colleagues found increased levels of SCFAs and secondary bile acids following FMT in UC patients who are responders (257). In contrast, Costello and colleagues found no significant differences in butyrate and other SCFAs between baseline and 8 weeks after intervention, or even between FMT and placebo groups; more importantly, SCFA concentrations were not associated with any observed FMT treatment effect (112).
Other bacteria-derived metabolites may be important to consider in IBD. Khalessi Hosseini and colleagues examined fecal metabolic alterations in UC pediatric patients following FMT and found that indole-3-acetate, 2,6-diaminopimelic acid, and ricinoleic acid were primary metabolites associated with a response; these metabolites continued to increase for 6 months (276). Another study by Nusbaum and colleagues reported that the metabolic profile of pediatric UC patients clustered into a disease-associated group that was distinctly different from their donors, with higher levels of putrescine and 5-aminovaleric acid at baseline; in addition, the post-FMT metabolic profile clustered toward their respective donors, with increased levels of xanthine, oleic acid, and butyrate (266). Compared with non-responders, energy-related pathways and bacterial cell surface components increased in CD patients who responded after FMT in one study (277), while heme, lipopolysaccharide/lipid A, peptidoglycan, ubiquinone and lysine, and oxidative phosphorylation biosynthesis pathways decreased in UC FMT responders in another study (257). Substantial alterations in 151 serum metabolites were observed in UC patients after FMT administration, and the most significant increases were in eight different metabolites associated with vitamin B6 metabolism and aminoacyl-tRNA biosynthesis pathways (278).
Host immunity
In murine models of colitis, FMT reduces the prevalence of CD8+ and CD4+ T cells and prevents the accumulation of proinflammatory cytokines in colonic tissues (279). Furthermore, FMT in animal models of acute colitis led to augmented anti-inflammatory cytokine production, promoted aryl hydrocarbon receptor activation, and alleviated inflammation (280). Likewise, SCFAs regulate the size and activity of the colonic Treg population that directly ameliorates colitis (281).
Additional pre-clinical studies in IBD indicate other immunoregulatory actions occur in response to FMT, including increased antimicrobial peptides such as cathelicidin, S100A8, specific defensins, secretory IgA, and mucin; these changes are coupled with reduced neutrophils, macrophages, and proinflammatory cytokines and a downregulation of major histocompatibility complex-II-dependent presentation of bacterial antigens (282). FMT is also associated with an upregulation of Tregs, IL-10-secreting CD4 T cells, and circulating gut-homing T cells. Collectively, these findings are associated with amelioration of colonic inflammation. In contrast, immunological changes have been very poorly described in human IBD FMT studies except for immune checkpoint inhibitor–associated colitis, where immunological response is associated with a significant reduction in colonic mucosal CD8+ T cell density and an increase in FoxP3+ CD4 cells (141).
FECAL MICROBIOTA TRANSPLANTATION MANUFACTURING
Donor screening and selection
General considerations
The multi-staged donor screening process is first and foremost to ensure the safety of FMT products. To date, transmission of infections through FMT occurred as a result of inadequate donor screening, such as the use of microbiological tests with suboptimal test characteristics or not testing for certain pathogens (75, 283). A secondary objective is to select an “optimal” donor, although this may vary with indications of interest; furthermore, defining an ideal donor based on the gut microbiota composition is problematic and not yet possible (284).
The criteria applied to exclude donors and the extent to which donors are screened vary considerably, partly because of different regulations around the globe and uncertainty surrounding the short- and long-term safety of FMT. Most studies do not report the details on how donors are selected or tested. Many screening guidelines are driven by regulatory requirements and expert opinions (101, 102, 285), not based on data obtained from experimental human gut challenge models. Individuals with certain characteristics such as high-risk behaviors, morbid obesity, autoimmune conditions (e.g., IBD), malignancy (e.g., colon cancer), and neurodegenerative and psychiatric disorders are excluded as donors (17, 286, 287); however, there is less certainty whether other characteristics should constitute exclusion criteria, such as age or BMI cutoffs, a family history of the aforementioned conditions, or recreational drug use.
The risk of infectious transmission by FMT is based on transmission capabilities and presumed viability of the pathogen in the gut, in combination with recipient host immunity and comorbidity. Each microbiological test also has different performance characteristics, sensitivity, and specificity. Furthermore, a positive test result may indicate the mere presence of genetic material (e.g., PCR) instead of a viable pathogen (e.g., culture), depending on the testing method. In addition to blood-borne infections (e.g., hepatitis viruses and Treponema pallidum), the screening tests focus on excluding fecal-oral-transmitted GI pathogens, multidrug-resistant bacteria, or pathogens with a systemic impact. Although some blood-borne pathogens are included in many screening programs, there is a considerable lack of clinical data. For example, hepatitis C is known to be transmitted by blood, not by the fecal-oral route, and yet it is considered an absolute exclusion criterion for a stool donor. There are other unresolved questions as to what constitutes absolute versus relative donor exclusion criteria. For example, although the parasite Blastocystis hominis has potential enteropathogenic properties (288), Terveer and colleagues found that FMT containing B. hominis subtype 1 (ST1) or ST3 resulted in intestinal engraftment in approximately 50% of 31 rCDI patients without developing GI symptoms or diminishing treatment efficiency (289). Notably, in patients receiving Blastocystis-positive donor feces, a significant improvement in self-rated defecation pattern was observed at long-term follow-up. Blastocystis sp. has also been found to correlate with a more diverse microbiome in some studies, which is a desirable characteristic of a good donor (290). As such, there continues to be debate as to whether Blastocystis should be considered an exclusion criterion for donors in all programs. Furthermore, it is very likely that other common enteric parasites such as Dientamoeba fragilis (291) have similar properties as B. hominis, and their presence may become part of the exclusion criteria for some donor programs. Grosen et al. could not detect Helicobacter pylori transmission in a cohort of 26 recipients of FMT via capsules from H. pylori-positive donors screened by an H. pylori feces antigen test (292). Similarly, not all donor programs test for H. pylori because the viability of H. pylori in feces materials is questionable.
The potential transmission of certain viruses through FMT also deserves further consideration. In a large Swiss cohort of 500 healthy donors with 36% CMV seropositivity, no fecal shedding was observed with PCR, even in the presence of CMV IgM in 2.3% of the 182 CMV seropositive donors (293). In contrast, CMV may have been transmitted through FMT from an unscreened related donor to a recipient with active UC, although CMV was more likely transmitted via saliva/household contact from son to father in this donor and recipient pairing (294). Thus, screening for CMV may need to be considered if a recipient is (severely) immunocompromised. In the peak of the coronavirus disease 2019 (COVID-19) pandemic, viable severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) was detected in stool samples, especially in patients with concomitant GI symptoms, on rare occasions of hospitalized symptomatic COVID-19 patients (295–298); however, it is unknown if the presence of viable virus is still a possibility in healthy asymptomatic donors. Despite the fact that transmission by fecal-oral route or FMT has not been documented, safety alerts have been issued by regulatory agencies requiring stool donor programs to be screened for SARS-CoV2 (299).
Recently, monkeypox (Mpox) virus highlighted a gap in the screening of sexually transmitted infections. With the numbers of Mpox-infected individuals rising among men who have sex with men prompting a further safety alert in 2022 (300), this infection is, fortunately, relatively easy to detect with screening guidelines. Careful screening for the presence of prodromal non-specific symptoms, newly appeared skin lesions, or close contact with proven or suspected infection within the previous 30 days can identify individuals at risk of being infected, and these questions have been added to many screening guidelines (301). Most donor programs do not include screening for other sexually transmitted infections such as herpes simplex virus or lymphogranuloma venereum subtypes of Chlamydia trachomatis. Therefore, it is important to subject donors to the screening questionnaire, including questions on sexual behavior or complaints, and to repeat screening with every donation with a short questionnaire on recent health status. Furthermore, it is important to have appropriate and secure data management and storage to guarantee traceback and anonymity of donors. Some argue that donors should be unpaid to reduce the risk that applicants withhold sensitive information (17). Examples of donor screening questions are provided in Table 3.
TABLE 3.
Examples of donor screening questionsa
| Themes | Examples | References |
|---|---|---|
| Donor baseline characteristics |
|
(111, 286, 302–312) |
| Relevant medical history | Chronic disease
Medication use Hospitalizations in the last 3 months Infection risk
Vaccination history |
(58, 62, 63, 286, 302–310, 312) |
| Relevant family history |
|
(58, 62, 111, 112, 286, 287, 302–311) |
| Occupational exposure |
|
(302, 304, 308, 310) |
| High-risk behaviors |
|
(58, 60–63, 111, 112, 286, 287, 302–308, 310, 311, 313) |
| Travel history |
|
(58, 60–63, 111, 112, 303–308) |
AIDS, acquired immunodeficiency syndrome; HIV, human immunodeficiency virus.
Screening processes
Once a donor has been identified, the screening process can be divided into three phases: donor history, physical exam, and laboratory tests. History can be obtained through an in-person interview or, more commonly, through a questionnaire that covers six domains: baseline characteristics, relevant medical history including recent antibiotic use, relevant family history, occupational exposures, high-risk behaviors, and travel history. Variations may exist in exclusion criteria, where some of these may be considered absolute while others may be relative, such as being a healthcare worker or within an age range (e.g., 18–50 or 18–65 years).
After meeting the inclusion and exclusion criteria, selected individuals undergo a physical exam followed by lab-based screening of stool and serum samples (Table 4). Variations exist with the extent of donor testing and the intervals of screening. For example, Health Canada requires testing donor stool for Mpox (102), while expert consensus from Europe (301) and Australia (314) suggests that a questionnaire may be sufficient to exclude potentially infectious donors. Finally, negative results on lab-based tests lead to donor acceptance. It is interesting to note that after the stringent and rigorous screenings, the overall acceptance rate for stool donors tends to be low, ranging from <5% to 25% (315–318).
TABLE 4.
| Type of specimen | Type of pathogen | Examples | Suggested tests | Canada (2022) (102)a |
Australia (2020) (285) |
UK (2018) (95) |
Denmark (2021) (319) |
The
Netherlands (2017) (287) |
USA (OpenBiome) (2021) (304) |
UEG (2020) (17) |
International
consensus (2019, 2020) (303, 320) |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Stool | Bacterial agents, toxins, or products | Salmonella spp. | PCR combined with enrichment culture | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Plesiomonas shigelloides | PCR | ✓ | ✓ | ✓ | ✓b | ||||||
| Vibrio spp. | Culture | ✓ | ✓ | ✓ | ✓ | ✓ | |||||
| Shigella spp. | PCR combined with enrichment culture | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| Escherichia coli pathotypes | ✓c | ||||||||||
| ETEC | PCR | ✓ | ✓ | ||||||||
| EPEC | PCR | ✓ | ✓ | ✓ | |||||||
| EIEC | PCR | ✓ | ✓ | ||||||||
| EAEC | PCR | ✓ | |||||||||
| VTEC/STEC | PCR | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||||
| E. coli O157-H7 | Culture | ✓ | ✓ | ||||||||
| MDROs | |||||||||||
| VRE | Enrichment culture confirmed by PCR | ✓ | ✓ | ✓ | ✓ | ✓ | ✓d | ✓ | |||
| CRE | Enrichment culture (with non-selective broth) | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓d | ✓ | ||
| ESBL-E | Enrichment culture (with non-selective broth) | ✓ | ✓ | ✓ | ✓b | ✓ | ✓ | ✓d | ✓ | ||
| MRSA | Enrichment culture confirmed by PCR | ✓ | ✓ | ✓ | ✓d | ✓ | |||||
| Others | |||||||||||
| Clostridioides difficile | PCR (target toxin B) | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||
| Helicobacter pylori | Stool antigen test | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||||
|
Yersinia
pseudotuberculosis, Y. enterocolitica |
PCR | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||
| Campylobacter jejuni, (C. coli) | PCR | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| Neisseria gonorrhoeae | PCR | ✓ | |||||||||
| Chlamydia trachomatis | PCR | ✓ | |||||||||
| Aeromonas spp. | PCR confirmed by culture and further subtyping of toxins/virulence factors | ✓ | ✓ | ||||||||
| Listeria | PCR | ✓ | |||||||||
| Viral agents | Norovirus | PCR | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| Astrovirus | PCR | ✓ | ✓ | ✓ | ✓b | ✓ | |||||
| Sapovirus | PCR | ✓ | ✓ | ✓ | ✓b | ✓ | |||||
| Rotavirus | PCR | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| Adenovirus 40/41 | PCR | ✓ | ✓ | ✓ | ✓ | ✓b | ✓ | ||||
| Enterovirus | PCR | ✓ | ✓ | ✓ | ✓b | ||||||
| Parechovirus | PCR | ✓ | ✓ | ✓b | |||||||
| HEV | Serology (only in case of seroconversion PCR of feces) | ✓ | |||||||||
| Mpox | PCR | ✓ | |||||||||
| SARS-CoV-2 | PCR | ✓ | ✓ | ✓ | ✓ | ✓ | |||||
| Protozoa, parasites, and others | Giardia lamblia | PCR | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| Entamoeba histolytica | PCR | ✓ | ✓ | ✓ | ✓ | ✓ | |||||
| Cryptosporidium parvum, C. hominis | PCR | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||
| Isospora belli | PCR | ✓ | ✓ | ✓ | ✓ | ||||||
| Cyclospora cayetanensis | PCR | ✓ | ✓ | ✓ | |||||||
| Microsporidium (Enterocytozoon bieneusi, Encephalitozoon intestinalis) | PCR | ✓ | ✓ | ✓b | ✓ | ||||||
| Strongyloides stercoralis | PCR feces (in combination with serology) | ✓ | ✓ | ✓ | ✓ | ||||||
| Ova, cysts, larvae, parasites, and helminths | Microscopy | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||||
| Protozoa | Microscopy | ✓a | ✓ | ||||||||
| Serum | Bacterial agents |
Treponema
pallidum (syphilis) |
Serology; TPHA | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Viral agents | HIV-1 and HIV-2 | Serology; P24 antigen and HIV antibodies | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| HTLV-1 and HTLV-2 | Serology; IgG | ✓ | ✓ | ✓ | ✓ | ||||||
| HAV | Serology; IgM/IgGe | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||
| HBV | Serology; HbsAg and preferably anti-HB core | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| HCV | Serology; Ig totalg | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| HEV | Serology; IgM/IgGe | ✓ | ✓ | ✓ | ✓ | ✓ | |||||
| EBV | Serology IgM/IgGb | ✓ | ✓b | ✓ | ✓ | ✓b | ✓ | ||||
| CMV | Serology IgM/IgGe | ✓ | ✓b | ✓ | ✓ | ✓b | ✓ | ||||
| Protozoa, parasites, and others | Strongyloides stercoralis | Serology; IgG | ✓ | ✓ | ✓ | ✓ | ✓ | ||||
| Entamoeba histolytica | Serology; IgG | ✓ | |||||||||
| Toxoplasma gondii | Serology, IgM | ✓b |
Canadian guidelines do not indicate the specimen type for testing various infectious agents.
Tested only in immunosuppressed individuals.
May be considered in some countries.
Tested by culture.
To detect seroconversion, the follow-up screening can be limited to IgG testing.
Recommends use of validated standard-of-care test methods according to nationally and locally approved guidelines.
Consider both antigen and antibody testing.
CRE, carbapenem-resistant Enterobacterales; EAEC, enteroaggregative Escherichia coli; EBV, Epstein-Barr virus; EIEC, enteroinvasive Escherichia coli; EPEC, enteropathogenic Escherichia coli; ESBL-E, extended-spectrum beta-lactamase producing Enterobacterales; ETEC, enterotoxigenic Escherichia coli; HAV, hepatitis A virus; HBV, hepatitis B virus; HCV, hepatitis C virus; HEV, hepatitis E virus; HIV, human immunodeficiency virus; Mpox, monkeypox; MRSA, methicillin-resistant Staphylococcus aureus; PCR, polymerase chain reaction; TPHA, Treponema pallidum hemagglutination assay; VRE, vancomycin-resistant Enterococci; VTEC/STEC, verotoxigenic Escherichia coli/Shigatoxigenic Escherichia coli.
Ultimately, it is crucial to ensure completeness of donor screening based on guideline recommendations and regulatory requirements. Donor programs also need to quickly respond and update screening processes based on reported transmission events, emerging pathogens, or pandemics, such as enteropathogenic E. coli, MDROs, SARS-CoV2, or Mpox. The best available tests should be used, given the rapidly evolving field, in consultation with local expert medical microbiologists. Comorbidity, including immune status of a recipient, may require additional consideration. For example, CMV status of a donor may have relevance for a severely immunocompromised recipient who is CMV negative. There also needs to be an appropriate response to a positive screening result should it arise. The length of the (temporary) exclusion of the donor/donor feces depends on the expected course of the infection and colonization of the pathogen in healthy donors and possible treatment or side effects; testing should be repeated until a negative result to accept the donor, in dialog with a medical microbiologist/infectious disease specialist.
Manufacturing and storage
Manufacturing of FMT is poorly standardized, with significant variation in terms of the ratio of stool to a diluent, what diluent is used, whether anaerobic condition is applied, and if or which cryoprotectant is added. Three formulations can be produced—fresh, frozen, and lyophilized FMT products—which can be administered as a slurry or in a capsular form. Given the inherent batch effect in the donor microbiome, coupled with the variations in manufacturing practices, it is challenging to produce FMT treatments that have relative consistency to meet regulatory standards as a drug or as a biologic. Although there do not appear to be significant differences in clinical efficacy in preventing rCDI with different manufacturing processes or formulations (98), this may or may not hold true for other indications. Below, we briefly discuss preparation and handling of each FMT formulation and the advantages and disadvantages of each.
Stool is generally manufactured within 24 hours of collection. Fecal material is mixed with a diluent, such as saline or water, homogenized, and filtered—typically under aerobic conditions for convenience—to produce a fecal slurry. Anaerobic processing is more cumbersome and requires an anaerobic chamber but has been shown to preserve obligate anaerobes and butyrate-producing bacteria (321), potentially an important consideration if the viability of these microbes is crucial (322).
The fresh fecal slurry can be administered immediately or can be stored frozen. A cryoprotectant, such as glycerol at 5%–10% final concentration, is commonly added, allowing the product to be stored at −20°C, or preferably −80°C, for up to 12 months without diminishing bacterial viability (303). Prior to usage, frozen FMT formulation is thawed and used within 6–8 hours.
For capsule manufacturing, minor differences exist between protocols, which follow similar principles in two steps. First, fecal slurry is centrifuged at low speed for a short duration (e.g., 400 g for 2 min), discarding the pellet and retaining supernatant. Second, the supernatant undergoes high-speed centrifugation for a longer duration (e.g., 3,000 g for 25 min) to precipitate a pellet which contains microorganisms (63, 323). For frozen capsules, glycerol is commonly used as a cryoprotectant (63); 100 g of stool would produce approximately 40 capsules, which are stored at −80°C (63). For lyophilized capsules, trehalose is commonly added to preserve bacterial viability (98); 80 g of stool would produce five capsules, each containing 1.6 g of lyophilized product, which can be stored at −80°C for up to 36 weeks with preserved bacterial viability (323).
Early clinical studies in the management of rCDI used fresh FMT formulations (60). This type of formulation has the least amount of manipulation but is also logistically the most challenging, has a limited shelf life, and does not allow quarantine during donor interval testing. Frozen and lyophilized FMT formulations have a longer shelf life, are particularly suitable for stool banks, and allow for a quarantine model, i.e., donor samples can be stored until the screening results from two time points flanking the quarantine period have returned (307). Frozen and lyophilized FMT formulations can also be prepared into capsules and offer the least invasive way of delivery. Furthermore, lyophilized products likely can remain viable even when stored at 4°C or room temperature as long as they are kept dry and can facilitate shipping and transport as well as treatment dosing in an office setting or at home (98). The main disadvantage is the required equipment and infrastructure.
Safety
Adverse events (AE) associated with FMT are dependent on donor screening, indication for FMT, route of delivery, and recipient immune status. Although most side effects are generally mild and self-liming, severe adverse events, including death and hospitalization, have been reported following FMT and may be under-reported. Systematic reviews with studies including up to 5,000 patients have found the overall rates of reported adverse events to be as high as 39.3%; however, the majority are minor and transient, including abdominal pain/cramping, bloating, nausea, vomiting, fever, constipation, and diarrhea (324–327). Transient diarrhea and abdominal pain occur in ≤10% of FMT procedures. Rare SAEs directly attributed to FMT include transmission of multidrug-resistant E. coli from a single donor to two recipients. One of these patients received FMT following allogeneic hematopoietic cell transplant to prevent GVHD and died of the infection, while the other patient received FMT for HE and required hospitalization and recovered (75). Other FMT-associated transmission of infectious agents from OpenBiome products includes enteropathogenic E. coli and Shiga toxin–producing E. coli, resulting in six patients who required hospitalization and two subsequent deaths (283). All these events were related to inadequate donor screening. Unique to IBD patients, hospitalization and colectomy have been reported when FMT was used to treat concurrent rCDI or to induce UC remission. A recent systematic review and meta-analysis with 777 patients focusing specifically on the use of FMT to treat rCDI in IBD patients (75) demonstrated an SAE rate of 12%, with the most common being hospitalization, IBD-related surgery, or IBD flare. However, the causal link to FMT remains uncertain because these events may reflect the worsening progression of IBD itself. Regardless, these possible effects highlight the need for awareness and thorough consent when treating IBD patients with FMT. Colonoscopy-administered FMT has also been linked to sedation-related aspiration pneumonia and perforation (78). The variability in the pooled rates of AEs and SAEs in systematic reviews stems from differing inclusion criteria, with the highest rates originating from a study that included only prospective, randomized studies (324); this review suggested a possible degree of under-reporting in studies with less rigorous methodology, as well as a lack of recognition and microbiological examination.
Beyond infectious pathogens, theoretical long-term risks may exist concerning the transmission or precipitation of non-infectious conditions including autoimmune, neuropsychiatric, and neurodegenerative diseases, obesity, or malignancy (328). Developing new medical conditions after FMT has been reported; however, causality in these cases cannot be firmly established (329–332). Two studies described the transmission or persistence of potentially procarcinogenic E. coli in FMT recipients whose donors were positive for the same organism (333, 334).
Overall, FMT appears to be a safe therapy even among special populations including pediatric, immunosuppressed, and cirrhotic patients (217, 335–337). However, the evidence for severely immunocompromised individuals remains sparse. The majority of risks can be mitigated by adherence to rigorous donor screening and surveillance protocols, as outlined in several consensus guidelines (303). Standardized reporting through efforts such as the FMT Registry from the AGA and the European FMT working group will help bolster the knowledge of short- and long-term adverse effects (310).
FECAL MICROBIOTA TRANSPLANTATION IN CHILDREN
FMT in children deserves special consideration, as one size may not fit all. Generally speaking, the gut microbiota in children differs substantially from that of adults, and one should be careful extrapolating efficacy and safety data from adult populations. Furthermore, diagnostics of CDI in young children is difficult because of the asymptomatic presence of both C. difficile and its toxins in the intestinal tract of neonates and young children. Many laboratories exclude C. difficile testing in children with diarrhea below the age of 2 years. If testing is indicated, the likelihood of C. difficile colonization and coinfection with other intestinal pathogens and the presence of alternative diagnosis should be considered (338). Once a diagnosis of rCDI is certain, FMT appears safe and effective in children, similar to what is seen in adult patients, and has been recommended by practice guidelines (339). Questions arise regarding selecting the most appropriate donor for children who require FMT: Should it be from a sibling or an unrelated donor of similar age, or from a parent or unrelated adult donor? How does the age of the donor impact clinical efficacy and, more importantly, how does it contribute to the long-term development of the microbiota of a child? Although some of these questions remain unanswered, in practice, healthy, unrelated adult stool donors have been used for convenience, supplied by stool banks. Most evidence for FMT in pediatric rCDI patients comes from uncontrolled studies (340–344). The largest retrospective cohort study with 335 patients (aged 11 months to 23 years) from 18 pediatric centers in the United States found that 87% of the recipients had a successful outcome following at least one FMT from an unrelated adult donor (341), comparable to what is observed in adult patients. Similarly, concurrent IBD does not negatively affect treatment success rate (345), and in one study, the risk of an IBD flare was also low (4%) following FMT with adult stool donors (341). Pediatric patients with compromised immunity pose a particular challenge because of limited safety data.
The route of FMT delivery also merits additional consideration. Although evidence in adult recipients found that efficacy varies somewhat by different routes, an individualized approach is required in children, which would vary depending on patient factors and preferences and on provider expertise and would need to weigh the benefits versus risks of each option.
OMICS TECHNOLOGIES AND BIOINFORMATICS PIPELINES FOR FECAL MICROBIOTA TRANSPLANTATION
Omics technologies—such as genomics, transcriptomics, proteomics, and metabolomics—have revolutionized our capacity to investigate biological systems on a large scale. Advanced molecular methods such as amplicon sequencing (targeted) and shotgun (untargeted) metagenomics can capture differences at the DNA level, while others can detect changes at the level of mRNA (transcriptomics) or final gene products (proteomics and metabolomics). The pros and cons of omics technologies exploited in microbiome analysis of FMT research are summarized in Table 5. To extract meaningful insights from these data, the utilization of bioinformatics pipelines is essential. These pipelines consist of a series of computational stages, encompassing data preprocessing, alignment, variant calling, annotation, data integration, and visualization. Through the application of bioinformatics pipelines, researchers can effectively process, integrate, and interpret omics data, facilitating the elucidation of complex biological processes and mechanisms. While single-omics using a reductionist approach (e.g., amplicon sequencing) can demonstrate association, integration of multi-omics data with in vitro (e.g., organ-on-chips) and in vivo (animal studies) data has the potential to reveal causality. When integrated, the omics technologies can be used to analyze changes following FMT.
TABLE 5.
Advantages and disadvantages of omics technologies utilized in microbiome analysis of FMT research
| Omics technology | Advantages | Limitations | Advancements and future directions |
|---|---|---|---|
| Amplicon sequencing | Detailed microbial community
characterization at high taxonomic resolution in both donors and
recipients. Cost-effective target region amplification. High-throughput analysis of multiple samples. Utilization of established data analysis tools [e.g., Mothur (346), Qiime 2 (347)] and reference databases [SILVA (348), Greengenes (349), NCBI (350)]. Enhancing study comparability for meta-analyses and multi-cohort investigations. Diversity indices, such as alpha and beta diversity, help researchers analyze the ecological dynamics within microbial ecosystems. |
Sensitivity tied to factors such as
DNA preservation, extraction quality, and primer efficacy (351, 352). Need for optimization, including bead-beating DNA extraction and contamination detection controls (351, 352). Require downstream bioinformatic tools [e.g., SourceTracker (353), Decontam (354)] for identifying and removing contaminants (355). Impact of amplicon region choice on diversity (V4, V5–V6 of 16S rRNA) (356–359). Need to account for copy number variation within the 16S rRNA gene and preferential amplification of certain taxa (360). Unsuitable for virus and bacteriophage characterization due to lack of conserved genomic regions. The choice of alpha and beta diversity metrics can influence results. Interpretation might be sensitive to sampling effort and sequencing depth. |
Ability to sequence the
complete V1–V9 16S gene, enabling species-level
identification (361). Incorporation of additional target regions (ITS, 23S) in conjunction with long-read sequencing for improved resolution (361). |
| Shotgun metagenomics | Holistic sequencing of microbial
genomes of donors and recipients for comprehensive
insights. Enhanced taxonomic resolution, facilitating precise strain identification. Functional and community assessment potential, encompassing viruses and fungi alongside bacteria. Strain-level identification through single-copy marker genes like PhyloPhlAn (362). Evolution toward species abundance estimation tools: protein based [e.g., Kaiju (363)], k-mer based [e.g., Kraken (364)], marker gene based [e.g., MetaPhlAn2 (365)], and single-nucleotide polymorphism based [e.g., StrainFinder (366)]. Diversity indices, such as alpha and beta diversity, help researchers analyze the ecological dynamics within microbial ecosystems. |
DNA-based approach may capture
inactive microbial DNA, resulting in potential misrepresentation
of active microbial population due to DNA persistence (367). Taxonomic identification does not reflect functional activity. Inclusion of host DNA requires filtering tools [e.g., Bowtie2 (368), BWA (369)]. Challenges in identifying microbial dark matter lacking in reference databases (370). The choice of alpha and beta diversity metrics can influence results. Interpretation might be sensitive to sampling effort and sequencing depth. Costly. |
Integration with other
molecular techniques (transcriptomics, proteomics, metabolomics)
for comprehensive insights. Long-sequencing technologies: harnessing the capabilities of long-read sequencing to enhance genome assembly, particularly for complex microbial communities, thereby improving taxonomic and functional profiling. Advancements in computational analysis: development of innovative algorithms and tools for metagenomic data analysis, including improved assembly, binning, and taxonomic assignment methods. Reference database expansion: continued efforts to expand reference databases, encompassing a broader range of microbial diversity, including previously uncharacterized species and strains. |
| Metatranscriptomics | Bridges gap between metagenome
and community phenotype through RNA profiling (371). Reveals host-microbiome interactions post-FMT and offers dynamic insights into microbial community shifts. Availability of functional annotation tools: utilizes various tools for functional annotation, including read-based packages such as MetaCLADE (372), UProC (373), or assembled-contig packages such as Prokka (374) and MG-RAST (375). Differential gene expression analysis: facilitated by tools like EdgeR (376) and DeSeq2 (377), enabling identification of genes with variable expression. |
Limited exploration of transcriptional
activity in human microbiota (378–380). RNA instability and microorganism adaptability affecting data quality. Confounding factors: gene copy number and shared genes among closely related organisms. Post-translational regulation impacts gene expression and functional activity. Very costly. |
Dual RNA sequencing (dual
RNA-seq): simultaneously measures host and microbial genome-wide
transcriptional changes, providing insights into disease
processes and host responses to microbial
therapeutics. Single-cell RNA sequencing (scRNA-seq): analyzes gene expression at the single-cell level, overcoming limitations of population-level analysis. Integration with other methods: combination with techniques measuring final gene products (proteomics, metabolomics) to mitigate limitations and provide comprehensive insights. |
| Metaproteomics | Comprehensive functional insights:
proteomics directly measures protein levels, revealing real-time
functional activity and accounting for post-transcriptional
modifications (381). Various software packages are available for exploring metaproteomic data, including MaxQuant (382). Specific open-source software programs such as MetaProteomeAnalyzer offer additional tools for data analyses and interpretation (383). |
Detection sensitivity: low
abundance protein detection limitations may miss key components,
leading to incomplete functional understanding (384). Data complexity: abundant proteomic data demand advanced tools for accurate analysis, especially in multi-omics integration. Sampling variability: sample handling variations affect reproducibility, emphasizing the need for standardized protocols. Quantitative challenges: quantifying protein abundance accurately, especially in label-free approaches, may face instrument-related hurdles (385, 386). Costly. |
Overcoming sensitivity
limitations: addressing low abundance protein detection
challenges to achieve a more comprehensive proteomic
profile. Advances in the field of single-cell proteomics (387, 388). Developing techniques to capture post-translational modifications (e.g., phosphorylation) affecting protein function. Integrated phenotype analysis: combining proteomics with genomics and transcriptomics to bridge genetic, epigenetic, and phenotypic variations (384). |
| Metabolomics | Comprehensive molecular profiling
(389): metabolomics
provides a holistic view of small molecule metabolites, enabling
a deep understanding of microbial and host metabolic activities
(390). Early disease indicators: metabolomic changes serve as early indicators of disease remission post-FMT, facilitating effective treatment assessment (257, 391, 392). Phenotypic clues: metabolomics reveals phenotypic variations resulting from FMT, contributing to a comprehension of treatment outcomes (266, 393). |
Metabolite identification constraints:
identification of all metabolites remains challenging, with an
estimated identification rate of up to 30% (394). Sample handling sensitivity: proper sample collection and preservation are crucial due to metabolite turnover and susceptibility to handling conditions (394). Selective approach trade-offs: choosing between untargeted and targeted methods involves trade-offs between comprehensive coverage and specific focus (395, 396). Costly. |
Integrated multi-omics
approaches: future research entails integrating metabolomics
with metaproteomics and metagenomics to overcome limitations and
achieve more comprehensive insights. Precision disease monitoring: metabolomics paves the way for personalized biomarker development, facilitating precise monitoring of FMT treatment outcomes. Functional network elucidation: advances in metabolomics enable the construction of functional interaction networks, revealing intricate molecular crosstalk within FMT scenarios. Temporal dynamics analysis: longitudinal metabolomic studies unveil dynamic changes in microbial functions and their correlation with FMT responses. |
CHALLENGES AND OPPORTUNITIES
Factors to consider in fecal microbiota transplantation research
Although there have been many advances in this field, important challenges remain, such as: (i) minimizing the risk for recipients, (ii) optimal dosing, (iii) confounders that affect analyses downstream of FMT, (iv) durability of a clinical response, arguably the most crucial, and (v) role of recipient characteristics in FMT success. Given the inherent heterogeneity in current FMT treatments, it is very challenging to compare across trials, even within specific indications. It is also unclear how one can predict which patients may respond to an FMT intervention.
Cost-effective and rigorous donor screening as well as quarantine models can mitigate but not eliminate all risks of transmitting communicable and non-communicable diseases. For rCDI, it appears that treatment by FMT is forgiving toward differences in methodology. However, this may not be the case for other indications, and dosing parameters (such as the frequency of administration, route of delivery, single versus pooled donor material, aerobic versus anaerobic processing, and formulation of the product) may determine treatment success.
Importantly, the role of potential confounding factors in microbiome research, such as diet, environmental factors, ethnicity, comorbidities, and medication other than antibiotics, has not been systematically investigated in most clinical trials to date. For published clinical studies, follow-up durations are typically short, in the range of 8–12 weeks, and this makes it difficult to determine the durability of a positive clinical response. To address this, long-term follow-up data of FMT recipients are necessary. Additionally, most studies focus on stool samples and do not provide information on the mucosa/crypts-associated flora and the microbiota in the small intestinal tract. The development of smart robotic capsules to analyze the length of the whole gut can be used to collect tissue biopsy and gut microbiota samples for in-depth analysis with FMT intervention.
Finally, it remains to be established to what extent recipient characteristics contribute to FMT success. Such characteristics may relate to genetic factors, immune parameters, dietary patterns, or microbiome composition. FMT combined with an anti-inflammatory diet has shown promise in UC (114, 120). FMT plus fermentable fibers improved insulin sensitivity compared with FMT or fiber alone in an RCT (135) with MetS participants, and autologous FMT following a “green Mediterranean” diet (Mediterranean diet supplemented with green tea and a shake containing Wolffia globosa) prevented weight regain after the initial weight loss when compared with controls in an RCT in MetS (397). Pairing of donors and recipients based on similarity of gut microbiota should be tested in future trials.
Evaluating microbial engraftment and functional alterations following fecal microbiota transplantation as they pertain to efficacy and durability of response
In the prevailing view, engraftment of donor species is important for efficacy of FMT treatment (122, 123, 163); therefore, treatment might benefit from increasing FMT dose and frequency, or using other strategies that may lead to improved engraftment. It appears that multiple treatments may be required for a response in chronic conditions, and this response may wane without ongoing maintenance therapy, as seen in UC and MetS. Capsulized FMT would make this approach feasible (113, 172, 398).
Another strategy to increase microbial species richness and diversity is through the use of multi-donor products. For example, one study using pooled multi-donor FMT found that UC patients who had a response received treatment with material from a particular donor, and the overall microbial diversity was higher in the pooled FMT products compared with that from single donors (111). However, the rates of remission in RCTs for UC patients to date have not conclusively been higher in studies that used pooled multi-donor FMT (three to seven donors) compared with those using single donors (111, 112). However, because of variations in trial design between studies, there is currently no clear evidence to support the use of multi-donor over single-donor FMT.
Engraftment may depend on compatibility or exclusion between the donor and recipient microbiota, and bowel preparation or antibiotic pretreatment may be necessary (163, 398) to “open up microbial niches.” Of note, vancomycin pretreatment, a common practice prior to FMT for rCDI (79), appears to be needed for engraftment of the LBP VE303 (82). Using dedicated computational tools, persistent engraftment of donor-derived strains is shown to be associated with elimination of host strains of the same species (399). Notably, this computational approach can introduce biases at every step, including the choice of bioinformatic pipeline and reference database used to analyze the data. Additionally, most studies focus on taxonomic compositions of the metagenomes without examining functional gene prediction profiles, neglecting the fact that some important functionalities are conserved across many different microbiota species, such as SCFA producers (400). Integrated multi-omics output can overcome some of these challenges but require substantial interdisciplinary expertise.
Regulatory challenges
FMT poses a challenge for regulatory bodies in terms of how to classify or regulate the product, as existing regulatory frameworks are developed for different classes of products. For example, in the United States and Canada, FMT is considered a biological product and drug. In the United Kingdom, it is regulated as a medicinal product. In Australia, it is considered a biologic, whereas in Italy, the Netherlands, and Belgium, it is classified as a tissue and regulated under the European Union Tissues and Cells Directive. In many countries, such as in Finland, India, and China, FMT is not clearly regulated.
Given the therapeutic benefits in rCDI and its potential benefits in an even wider range of microbiota disruption–associated states, it is essential that regulatory agencies balance protecting the public with equitable access. This field is evolving quickly, which may not always favor patients. With the recent regulatory approvals of RBX2660 (a donor stool-derived microbiota suspension, also known as live-jslm or Rebyota) (401) and SER-109 (a donor stool-derived spore suspension, also known as live-brpk or Vowst) (402) in the United States, for example, the FDA has limited its enforcement discretion policy to establishments under which FMT is used to treat local patients. Centralized stool banks now require an Investigational New Drug application in order to continue to supply such products for clinical use (72); such a move will add complexity and costs to stool bank operations. There is a clear need to establish regulatory processes that fit the unique challenges of FMT and can accommodate and adapt to microbial-based therapeutics in the future. At the same time, regulations should not further impede access to FMT because significant barriers already exist in many countries (403): only 10% of patients with rCDI had access to FMT in a recent European survey (404).
Ethical considerations
Ethical considerations need to consider both patient and donor perspectives. Informed consent is a critical element prior to FMT and is even more important when the indication is beyond rCDI. The therapeutic benefit of FMT for rCDI is well established but is less clear in other conditions. Short- and long-term risks, known and unknown, need to be disclosed and framed around donor selection, screening processes, and limitations. Patients who have specific religious beliefs/dietary restrictions may need special accommodations in their donor selection that may not be feasible to accommodate. Patients’ autonomy may be compromised by their stress and desperation, affecting their ability to give informed consent. Thus, it is crucial that a provider clearly weighs the risks and benefits with their patients, provides alternative treatment options, and does so in a rational, compassionate, nonjudgmental, and nondirectional manner (405).
It is still not known what constitutes an ideal donor or a healthy donor. Several studies have shown the difficulty in recruiting donors based solely on simple criteria to mitigate risks. If further factors known to affect or be associated with the microbiome are to be considered and applied, such as diet or psychological wellness, it will be even more challenging to recruit and retain donors. Additionally, the invasive nature of stringent and repeated screening process may lead to concerns over donors’ privacy and autonomy (406). Given the commitment required, should donors be compensated for their altruism, similar to sperm and egg donation? Or would compensation potentially encourage dishonesty and compromise the safety of donor products? Furthermore, if a donor who is healthy today develops a non-infectious condition of concern years later, does this information need to be disclosed to all the recipients of FMT products from this donor? Who bears the responsibility of tracking donors and recipients in the long term?
Integration of multi-omics approaches
Generally, there are two ways to analyze multi-omics data: top-down and bottom-up. When researchers use genomics or transcriptomics data as a basis to predict phenotypic responses, variations in key proteins, and metabolic pathways (407), this is referred to as the top-down approach. An advantage of a top-down approach is that the researchers are working with genomics and transcriptomics data, which generally have higher coverage and, therefore, changes in the host may be captured more easily (407). However, the relationship from gene to metabolites is not always proportional, and DNA/RNA variations may not always correlate to functional variations (408). An alternative to the top-down approach is the bottom-up approach, in which metabolites are used to guide other omics analyses; changes in metabolites are more likely to be representative of phenotypic differences (407, 409). Combined analyses of multi-omics data with host physiology and mechanistic experiments in humans and animal models are promising, particularly in personalized medicine.
Experimental limitation and opportunity for improvement include (i) understanding the complexity and statistical behavior of output from each omics approach in isolation, (ii) being aware of possible covariate and cofounder relationships that might exist, and (iii) detection limitation and resolution differences in abundance between the omics data (410, 411). These intricacies mean that it is critical to develop advanced computational methods that efficiently extract key information from heterogeneous and complex multi-omics data. Machine learning, deep learning, language processing, and cognitive commuting—collectively known as artificial intelligence (Fig. 6)—hold great promise to explore and integrate multi-omics data to discover hidden patterns and find models that can accurately predict phenotypes (412).
Fig 6.
Multi-omics approaches and their application in future studies. (A) FMT procedure from healthy donor microbiota to clinical outcomes of the recipient. (B) 1. In a reductionist approach, only one organ is considered, while a holistic approach considers multiple organs at the same time. 2. Due to genetic and environmental variations between human and animal models, organ-on-a-chip can provide new approaches in microbiome studies. 3. Types of artificial intelligence strategies currently used for omics data analysis and interpretation. 4. An example of data integration by multi-omics approach.
One limitation of multi-omics approaches is that the mechanisms and direction of host-microbial interactions are still not clear because the evidence is largely correlational. Moreover, the human microbiome is inherently complicated and heterogenous, with many factors that can have direct effects; as a result, traditional study designs may not have enough statistical power to extract causation from multi-omics data. Thus, there is a demand for finding alternative approaches that can be integrated with human studies (413), such as animal studies, organ-on-chips (organ chip), organoids, and cell studies (414). The organ-on-chip has been used for numerous cancer studies (415, 416), and recently, an intestinal cell line-on-chip (417) has been developed to mimic human studies. These innovative approaches provide opportunities to investigate host-microbial interactions in a controlled and reproducible manner. Ultimately, results from association studies can generate hypotheses that can inform validation studies in other model systems; these results will need to feed back to human trials to confirm causality.
Pharmacomicrobiomics
The term pharmacomicrobiomics refers to the study of the interactions between drugs and the microbiome and analyzes how the composition and activity of the microbiome can influence the pharmacokinetics (PK) and pharmacodynamics (PD) of drugs. Although most of the studies target the gut microbiome through gut-active supplements such as probiotics and prebiotics, FMT presents new opportunities for improving therapeutic efficacy by mediating PKs/PDs. This is of special importance for metabolic diseases (such as diabetes mellitus), psychiatric diseases, IBD, autoimmune diseases, and various form of cancers treated with ICI. Microbial metabolism and its metabolites profoundly affect both the efficacy and toxicity by converting drugs to bioactive, inactive, or toxic compounds (418). Beyond immunomodulatory activities, the engrafted microbiota can influence the extent of drug absorption, PKs, and PDs. Changes in the microbiome may have consequences for the PKs of drugs such as levodopa (the mainstay of treatment of Parkinson’s disease) because bacterial tyrosine decarboxylase in the gut microbiota influences the metabolism of levodopa (419, 420). An excellent example is the interaction of the microbiota with anti-cancer drugs (184). A topoisomerase I inhibitor, irinotecan, is converted into active metabolite SN-38 to prevent cancer cells from nucleotide biosynthesis (421). High concentrations of SN-38 can result in severe diarrhea, while SN-38 can be detoxified into SN-38 glucuronide (SN-38G) by liver uridine diphosphate glucuronosyltransferase. However, bacterial β-glucuronidase, mainly produced by Clostridium, Eubacterium, and Ruminococcus, can potentially convert SN-38G back to SN-38 (422, 423). Another example is bacterial vitamin B6 and B9 metabolism, which is mandatory for 5-fluorouracil activation into cytotoxic 5-fluorouridine triphosphate to impede tumor cell division (424). Despite the elimination of distinct host-microbiome-drug interactions, a holistic view of this sophisticated interplay is still missing. Logical questions to consider here are (i) how could the gut microbiota influence PKs and PDs of drugs and their metabolism in different organs such as the liver and kidney? (ii) how might FMT contribute to the rational modification of the gut microbiota, orchestrating favorable host-microbiome-drug interactions? Resolving these questions could lead to the development of more efficient combinations of conventional drug treatments with microbiome-based therapeutics such as FMT administration and cancer immunotherapy.
CONCLUSIONS AND FUTURE PERSPECTIVES
FMT is an important research tool for the future development of microbial therapeutics, given its long track record, especially in rCDI. It will remain a useful tool in other indications to determine the causal relationship between microbial disturbance and a particular disorder.
Since 2012, FMT has developed from an experimental intervention to guideline-recommended treatment for rCDI. Spurred by this success, it is being explored as an intervention for many other indications, with varying success that can in part be attributed to heterogeneity in methodology and rapid developments in processing and formulation, sampling, and analyses. FMT research will benefit from using carefully designed large-scale studies with extensive metadata collection and consistent biospecimen collections to minimize noise in downstream multi-omic analyses and from long-term follow-up to address potential safety concerns. The results from such experiments can guide targeted experiments that address the underlying mechanisms of clinical outcomes of FMT and may lead to personalized medicine in which donor and recipient characteristics are matched for optimal success.
The identification of microbial signatures from data obtained from FMT-treated trial participants suggests that interventions in the microbiome may be possible with defined microbial consortia or LBPs that may address most, if not all, of the drawbacks associated with FMT, such as the inherent variability of a product derived from minimally manipulated fecal material. Pharmaceutical industry is developing LBPs for conditions such as rCDI, IBD, and cancer therapy, particularly focusing on rCDI, given the long history of FMT treatment for this condition (82, 425).
Considering the above, are FMT’s days numbered? We feel that FMT will remain an important tool for the exploration of the role of the microbiota in health and disease. After all, mechanistic investigations and the development of LBPs require hypotheses derived from associations between microbiota and clinical outcomes; these in turn follow from complex and heterogeneous data, such as those from FMT treatments.
ACKNOWLEDGMENTS
D.K. has received research funding from Canadian Institutes of Health Research, University of Alberta Hospital Foundation, Alberta Health Services, and Department of Medicine at the University of Alberta, as well as consulting fees from Ferring. E.M.T. and E.J.K. received an unrestricted research grant from Vedanta Biosciences. T.M.M. has received support from the National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre based at the Nottingham University Teaching Hospitals NHS Trust and University of Nottingham, the Medical Research Council, UK Development Pathway Funding Scheme (grant reference: MR/S019103/1), and the Cystic Fibrosis Trust; received consulting fees from Takeda Pharmaceuticals; and served as an advisor for CHAIN Biotechnology.
Biographies

Abbas Yadegar is a Medical Bacteriologist, and currently an Assistant Professor and the Head of Foodborne and Waterborne Diseases Research Center based at the Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran. He completed his master’s degree and Ph.D. in Medical Bacteriology from Tarbiat Modares University, Tehran, Iran. He established and leads the Iranian Fecal Microbiota Transplantation (FMT) program since 2015 in the Shahid Beheshti University of Medical Sciences. His main research interests focus on Helicobacter pylori, Clostridioides difficile infection, antimicrobial resistance, gut microbiota, and next-generation probiotics. Also, he currently undertakes basic, clinical, and translational research on exploring the potential role of the gut microbiome in human health and disease.

Haggai Bar-Yoseph is a senior Gastroenterologist and leads the research laboratory of the Gastroenterology department at Rambam Health Care Campus (RHCC), Haifa, Israel. Dr. Bar-Yoseph holds a MD degree from Ben-Gurion University, Beer-Sheva, Israel. He completed his residency in internal medicine with honors, followed by a fellowship in Gastroenterology at RHCC. He did a post-doctorate fellowship in microbiology at the University of British Columbia, Vancouver, Canada, where he studied the microbiome and nutrition. He focuses on the treatment of malnourished and obese patients as part of the nutrition clinic and is the clinical leader of the microbiome center at RHCC and specializes in fecal microbiota transplantation (FMT). Dr. Bar-Yoseph is a Clinical Senior Lecturer at the Technion’s Faculty of Medicine, Haifa, Israel. His research focuses on the changes in microbiota community in various disease states and following bacterial manipulation and nutrition, and the intestinal environment in gastrointestinal diseases.

Tanya M. Monaghan is a Clinical Associate Professor in the NIHR Nottingham Biomedical Research Centre, School of Medicine, and the Nottingham Digestive Diseases Centre (NDDC) at the University of Nottingham. She is the previous recipient of a Wellcome Trust Clinical Training Fellowship and a University of Nottingham Anne McLaren Fellowship. Dr Monaghan is the theme lead for C. difficile research within the NDDC. Her research interests focus on understanding the pathophysiology of infection and inflammation of the gut-brain-axis and in deciphering mechanisms of action of faecal microbiota transplantation. Dr Monaghan also has research expertise in the preclinical development of novel antimicrobials and microRNA-based drugs for the treatment of C. difficile infection and inflammatory disorders of the gut and brain. Dr Monaghan has most recently led multiomics-based studies on One-Health- and wastewater-based surveillance approaches to better understand population health and transmission of infectious diseases in Central India.

Sepideh Pakpour is an Assistant Professor of the Faculty of Applied Science, School of Engineering, the University of British Columbia. My fundamental research interest is to better comprehend forces and factors influencing the human microbiome, and how microorganisms interact with their environment, with each other, and with their host. Her research has also continuously focused on translating basic microbiome discoveries into applications ranging from bioengineering and biomaterials to medicine, using advanced bioinformatics and machine learning methods.

Andrea Severino started working in the field of studying the gut microbiota and its modulation about two years ago, under the guidance of Professor Giovanni Cammarota and Professor Gianluca Ianiro, as part of our multidisciplinary research team, the #microbiomeclinicians. He considers this area of research one of the most innovative fields, with enormous diagnostic and therapeutic potential.

Ed J. Kuijper is Professor Emeritus at LUCID, Leiden University Medical Centre. He received his medical degree and microbiology education at the University of Amsterdam and worked as a physician researcher on various topics of bacterial infections. In 2001, he was appointed at Leiden University and started a research group on Clostridium difficile infections (CDI). Subsequently, he developed a National Expertise Centre for CDI in close collaboration with the RIVM. He worked closely with ECDC and European Society for Clinical Microbiology and Infectious Disease to perform various European CDI surveys. Prof. Kuijper initiated the Centre for Microbiota Analysis and Therapeutics and co-developed the National Donor Feces Bank at LUMC. In 2018, he started a European Study Group for Host and Microbiota Interactions which comprises more than 125 members. He was appointed at RIVM from 2018-2023 and completed various studies on antibiotic resistance and gut microbiota.

Wiep Klaas Smits earned his MSc and PhD degrees with distinction from the University of Groningen in The Netherlands, and performed postdoctoral research at the Massachusetts Institute of Technology, Cambridge, MA, USA. He is currently an Associate Professor at Leiden University Medical Center, Leiden, The Netherlands where he heads the research group Experimental Bacteriology, co-directs the Center for Microbiota Analyses and Therapeutics and is involved in the Dutch National Expertise Center for C. difficile infections

Elisabeth Terveer is a medical microbiologist at the Leiden University Medical Center (LUMC), the Netherlands, and head of the Netherlands Donor Feces Bank situated at the LUMC. She received her PhD in microbiology in 2021 in Leiden. She divides her attention between daily patient care, coordinating the bacteriology laboratory of the LUMC and microbiota related research. Her research expertise lies in bacteriology, Clostridioides difficile, multidrug resistant Gram negatives and the microbiota in health and disease, more specifically the modification of a patients’ perturbed gut microbiota with fecal microbiota transplantation (FMT) prepared from healthy donor feces.

Sukanya Neupane is a 3rd year medical student at the University of Alberta. She completed her MSc program in Neuroscience at the University of Calgary. She will pursue a residency in neurology, internal medicine or family medicine.

Ali Nabavi-Rad obtained his B.Sc. in Microbiology from Shahid Beheshti University, Tehran, Iran. He is the Helicobacter Research Laboratory Manager at the Research Institute for Gastroenterology and Liver Diseases, Tehran, Iran. His research profile primarily focuses on Helicobacter pylori pathogenesis, carcinogenesis, virulence factors, and antimicrobial resistance.

Javad Sadeghi Ph.D., is currently a Postdoctoral Fellow at the Microbiome Manipulation Lab, Department of Physical and Environmental Sciences, University of Toronto, Canada. He obtained his Ph.D degree (in 2022) in Environmental Science from the University of Windsor, Canada, with a specialization in Microbial Ecology. His research applies molecular biology approaches and advanced bioinformatics techniques to study interactions between microbes and their hosts. His current research explores microbial community stability and response to disturbances to better understand the nature of microbial roles in both health and disease.

Giovanni Cammarota is a full professor at the Faculty of Medicine of the Catholic University of the Sacred Heart at the Fondazione Policlinico Gemelli IRRCS in Rome, Italy. He is also director of the departmental gastroenterology unit and director of the specialization school. He has carried out research on the pathophysiology, clinic, diagnosis and therapy of various pathologies of the digestive system. He is the leader of a research group for pathologies related to the ecosystem of the gastro-intestinal tract and their implications in clinical-practical translational terms. In fact, research on the subject of intestinal microbiota and its modulation through the transplantation of microbiota from healthy donors has paved the way for a strong global relationship with various institutions, with continuous and fruitful collaborations, participation in conferences and training courses, development of lines -international practical-clinical guidance, and continuous publications in prestigious and high-impact scientific journals.

Gianluca Ianiro is a gastroenterologist with a special interest on gut microbiome and fecal microbiota transplantation. He has received his medical degree and his postgraduate training in gastroenterology at the Catholic University of Rome, where he has now the position of senior researcher. He is also the leader of the microbiome outpatient clinic since 2016. His main vision and mission are to bring the gut microbiome into clinical practice.

Estello Nap Hill is a Gastroenterology fellow and Gut microbiome researcher. He completed his Bachelor of Arts in Psychology and Interdisciplinary Life Science at McGill University and Doctor of Medicine and residency in Internal Medicine from the University of British Columbia (UBC). Currently, he is pursuing a Gastroenterology Fellowship at UBC. His scholarly intrigue in the gut microbiome is driven by a desire to unravel the intricacies of human existence, the interplay between our physiology and the environment, and the potential of microbiome studies to catalyze transformative advancements in healthcare.

Dickson Leung is a medical school graduate from the University of Alberta (Canada) and currently trains there as a Core Internal Medicine resident. He is interested in pursuing a career in gastroenterology.

Karen Wong is an Associate Professor of Medicine at the University of Alberta. She obtained her MD degree at the University of Alberta before completing Internal Medicine and Gastroenterology fellowships at University of Western Ontario. She returned to University of Alberta to complete an IBD Fellowship and joined the faculty thereafter. Her clinical and academic interests include fecal microbial transplantation, digital health and intestinal ultrasound. She has been part of the FMT program at the University of Alberta since 2014 participating in both investigator-initiated and industry clinical trials.

Dina Kao is a gastroenterologist and professor of medicine at the University of Alberta. She established the Edmonton Fecal Microbiota Transplantation program in 2013, and has been involved in multiple investigator initiated and industry sponsored clinical trials. Her main research interest is in using FMT as a tool to modulate gut microbiota for therapeutic benefits, not limited to recurrent C. difficile infection. With international collaborators, she is also exploring the potential mechanisms underpinning FMT efficacy.
Contributor Information
Dina Kao, Email: dkao@ualberta.ca.
Christopher Staley, University of Minnesota, Minneapolis, Minnesota, USA.
SUPPLEMENTAL MATERIAL
The following material is available online at https://doi.org/10.1128/cmr.00060-22.
Tables S1 to S5.
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REFERENCES
- 1. Li J, Jia H, Cai X, Zhong H, Feng Q, Sunagawa S, Arumugam M, Kultima JR, Prifti E, Nielsen T, et al. 2014. An integrated catalog of reference genes in the human gut microbiome. Nat Biotechnol 32:834–841. doi: 10.1038/nbt.2942 [DOI] [PubMed] [Google Scholar]
- 2. Hugon P, Dufour JC, Colson P, Fournier PE, Sallah K, Raoult D. 2015. A comprehensive repertoire of prokaryotic species identified in human beings. Lancet Infect Dis 15:1211–1219. doi: 10.1016/S1473-3099(15)00293-5 [DOI] [PubMed] [Google Scholar]
- 3. Arumugam M, Raes J, Pelletier E, Le Paslier D, Yamada T, Mende DR, Fernandes GR, Tap J, Bruls T, Batto J-M, et al. 2011. Enterotypes of the human gut microbiome. Nature 473:174–180. doi: 10.1038/nature09944 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Jardon KM, Canfora EE, Goossens GH, Blaak EE. 2022. Dietary macronutrients and the gut microbiome: a precision nutrition approach to improve cardiometabolic health. Gut 71:1214–1226. doi: 10.1136/gutjnl-2020-323715 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Burcham ZM, Garneau NL, Comstock SS, Tucker RM, Knight R, Metcalf JL, Miranda A, Reinhart B, Meyers D, Woltkamp D, Boxer E, Hutchens J, Kim K, Archer M, McAteer M, Huss P, Defonseka R, Stahle S, Babu S, Nuessle T, Schowinsky V, Covert W, Truman W, Reusser W, Taste Lab Citizen S. 2020. Patterns of oral microbiota diversity in adults and children: a crowdsourced population study. Sci Rep 10:2133. doi: 10.1038/s41598-020-59016-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Daniel N, Lécuyer E, Chassaing B. 2021. Host/microbiota interactions in health and diseases—time for mucosal microbiology. Mucosal Immunol 14:1006–1016. doi: 10.1038/s41385-021-00383-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Gu S, Chen D, Zhang JN, Lv X, Wang K, Duan LP, Nie Y, Wu XL. 2013. Bacterial community mapping of the mouse gastrointestinal tract. PLoS One 8:e74957. doi: 10.1371/journal.pone.0074957 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Donaldson GP, Lee SM, Mazmanian SK. 2016. Gut Biogeography of the bacterial microbiota. Nat Rev Microbiol 14:20–32. doi: 10.1038/nrmicro3552 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Spencer L, Olawuni B, Singh P. 2022. Gut virome: role and distribution in health and gastrointestinal diseases. Front Cell Infect Microbiol 12:836706. doi: 10.3389/fcimb.2022.836706 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Sausset R, Petit MA, Gaboriau-Routhiau V, De Paepe M. 2020. New insights into intestinal phages. Mucosal Immunol 13:205–215. doi: 10.1038/s41385-019-0250-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Shkoporov AN, Hill C. 2019. Bacteriophages of the human gut: the "known unknown" of the microbiome. Cell Host Microbe 25:195–209. doi: 10.1016/j.chom.2019.01.017 [DOI] [PubMed] [Google Scholar]
- 12. Zuppi M, Hendrickson HL, O’Sullivan JM, Vatanen T. 2021. Phages in the gut ecosystem. Front Cell Infect Microbiol 11:822562. doi: 10.3389/fcimb.2021.822562 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Pérez JC. 2021. Fungi of the human gut microbiota: roles and significance. Int J Med Microbiol 311:151490. doi: 10.1016/j.ijmm.2021.151490 [DOI] [PubMed] [Google Scholar]
- 14. Parfrey LW, Walters WA, Lauber CL, Clemente JC, Berg-Lyons D, Teiling C, Kodira C, Mohiuddin M, Brunelle J, Driscoll M, Fierer N, Gilbert JA, Knight R. 2014. Communities of microbial eukaryotes in the mammalian gut within the context of environmental eukaryotic diversity. Front Microbiol 5:298. doi: 10.3389/fmicb.2014.00298 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Nieves-Ramírez ME, Partida-Rodríguez O, Laforest-Lapointe I, Reynolds LA, Brown EM, Valdez-Salazar A, Morán-Silva P, Rojas-Velázquez L, Morien E, Parfrey LW, Jin M, Walter J, Torres J, Arrieta MC, Ximénez-García C, Finlay BB. 2018. Asymptomatic intestinal colonization with protist blastocystis is strongly associated with distinct microbiome ecological patterns. mSystems 3:e00007-18. doi: 10.1128/mSystems.00007-18 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Kim JY, Whon TW, Lim MY, Kim YB, Kim N, Kwon MS, Kim J, Lee SH, Choi HJ, Nam IH, Chung WH, Kim JH, Bae JW, Roh SW, Nam YD. 2020. The human gut archaeome: identification of diverse haloarchaea in Korean subjects. Microbiome 8:114. doi: 10.1186/s40168-020-00894-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Keller JJ, Ooijevaar RE, Hvas CL, Terveer EM, Lieberknecht SC, Högenauer C, Arkkila P, Sokol H, Gridnyev O, Mégraud F, et al. 2021. A standardised model for stool banking for faecal microbiota transplantation: a consensus report from a multidisciplinary UEG working group. United European Gastroenterol J 9:229–247. doi: 10.1177/2050640620967898 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Jiao Y, Wu L, Huntington ND, Zhang X. 2020. Crosstalk between gut microbiota and innate immunity and its implication in autoimmune diseases. Front Immunol 11:282. doi: 10.3389/fimmu.2020.00282 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Zheng D, Liwinski T, Elinav E. 2020. Interaction between microbiota and immunity in health and disease. Cell Res. 30:492–506. doi: 10.1038/s41422-020-0332-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Yoo JY, Groer M, Dutra SVO, Sarkar A, McSkimming DI. 2020. Gut microbiota and immune system interactions. Microorganisms 8:1587. doi: 10.3390/microorganisms8101587 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Chu H, Mazmanian SK. 2013. Innate immune recognition of the microbiota promotes host-microbial symbiosis. Nat Immunol 14:668–675. doi: 10.1038/ni.2635 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Zong X, Fu J, Xu B, Wang Y, Jin M. 2020. Interplay between gut microbiota and antimicrobial peptides. Anim Nutr 6:389–396. doi: 10.1016/j.aninu.2020.09.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Lueschow SR, McElroy SJ. 2020. The paneth cell: the curator and defender of the immature small intestine. Front Immunol 11:587. doi: 10.3389/fimmu.2020.00587 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Liang W, Enée E, Andre-Vallee C, Falcone M, Sun J, Diana J. 2022. Intestinal cathelicidin antimicrobial peptide shapes a protective neonatal gut microbiota against pancreatic autoimmunity. Gastroenterology 162:1288–1302. doi: 10.1053/j.gastro.2021.12.272 [DOI] [PubMed] [Google Scholar]
- 25. Le Noci V, Bernardo G, Bianchi F, Tagliabue E, Sommariva M, Sfondrini L. 2021. Toll like receptors as sensors of the tumor microbial dysbiosis: implications in cancer progression. Front Cell Dev Biol 9:732192. doi: 10.3389/fcell.2021.732192 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Lewis K, Lutgendorff F, Phan V, Söderholm JD, Sherman PM, McKay DM. 2010. Enhanced translocation of bacteria across metabolically stressed epithelia is reduced by butyrate. Inflamm Bowel Dis 16:1138–1148. doi: 10.1002/ibd.21177 [DOI] [PubMed] [Google Scholar]
- 27. Dalile B, Van Oudenhove L, Vervliet B, Verbeke K. 2019. The role of short-chain fatty acids in microbiota-gut-brain communication. Nat Rev Gastroenterol Hepatol 16:461–478. doi: 10.1038/s41575-019-0157-3 [DOI] [PubMed] [Google Scholar]
- 28. Barcelo A, Claustre J, Moro F, Chayvialle JA, Cuber JC, Plaisancié P. 2000. Mucin secretion is modulated by luminal factors in the isolated vascularly perfused rat colon. Gut 46:218–224. doi: 10.1136/gut.46.2.218 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. He J, Zhang P, Shen L, Niu L, Tan Y, Chen L, Zhao Y, Bai L, Hao X, Li X, Zhang S, Zhu L. 2020. Short-chain fatty acids and their association with signalling pathways in inflammation. Int J Mol Sci 21:6356. doi: 10.3390/ijms21176356 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Lozupone CA, Knight R. 2008. Species divergence and the measurement of microbial diversity. FEMS Microbiol Rev 32:557–578. doi: 10.1111/j.1574-6976.2008.00111.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Buttó LF, Haller D. 2016. Dysbiosis in intestinal inflammation: cause or consequence. Int J Med Microbiol 306:302–309. doi: 10.1016/j.ijmm.2016.02.010 [DOI] [PubMed] [Google Scholar]
- 32. Garsin DA. 2010. Ethanolamine utilization in bacterial pathogens: roles and regulation. Nat Rev Microbiol 8:290–295. doi: 10.1038/nrmicro2334 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Stecher B. 2015. The roles of inflammation, nutrient availability and the commensal microbiota in enteric pathogen infection. Microbiol Spectr 3. doi: 10.1128/microbiolspec.MBP-0008-2014 [DOI] [PubMed] [Google Scholar]
- 34. Ng KM, Ferreyra JA, Higginbottom SK, Lynch JB, Kashyap PC, Gopinath S, Naidu N, Choudhury B, Weimer BC, Monack DM, Sonnenburg JL. 2013. Microbiota-liberated host sugars facilitate post-antibiotic expansion of enteric pathogens. Nature 502:96–99. doi: 10.1038/nature12503 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Unden G, Bongaerts J. 1997. Alternative respiratory pathways of Escherichia coli: energetics and transcriptional regulation in response to electron acceptors. Biochim Biophys Acta 1320:217–234. doi: 10.1016/s0005-2728(97)00034-0 [DOI] [PubMed] [Google Scholar]
- 36. Winter SE, Winter MG, Xavier MN, Thiennimitr P, Poon V, Keestra AM, Laughlin RC, Gomez G, Wu J, Lawhon SD, Popova IE, Parikh SJ, Adams LG, Tsolis RM, Stewart VJ, Bäumler AJ. 2013. Host-derived nitrate BOOSTS growth of E. coli in the inflamed gut. Science 339:708–711. doi: 10.1126/science.1232467 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Zeng MY, Inohara N, Nuñez G. 2017. Mechanisms of inflammation-driven bacterial dysbiosis in the gut. Mucosal Immunol 10:18–26. doi: 10.1038/mi.2016.75 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Stecher B, Maier L, Hardt WD. 2013. 'Blooming' in the gut: how dysbiosis might contribute to pathogen evolution. Nat Rev Microbiol 11:277–284. doi: 10.1038/nrmicro2989 [DOI] [PubMed] [Google Scholar]
- 39. Göttig S, Gruber TM, Stecher B, Wichelhaus TA, Kempf VAJ. 2015. In vivo horizontal gene transfer of the carbapenemase OXA-48 during a nosocomial outbreak. Clin Infect Dis 60:1808–1815. doi: 10.1093/cid/civ191 [DOI] [PubMed] [Google Scholar]
- 40. Leffler DA, Lamont JT. 2015. Clostridium difficile infection. N Engl J Med 372:1539–1548. doi: 10.1056/NEJMra1403772 [DOI] [PubMed] [Google Scholar]
- 41. Smits WK, Lyras D, Lacy DB, Wilcox MH, Kuijper EJ. 2016. Clostridium difficile infection. Nat Rev Dis Primers 2:16020. doi: 10.1038/nrdp.2016.20 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Minkoff NZ, Aslam S, Medina M, Tanner-Smith EE, Zackular JP, Acra S, Nicholson MR, Imdad A. 2023. Fecal microbiota transplantation for the treatment of recurrent Clostridioides difficile (Clostridium difficile). Cochrane Database Syst Rev 4:CD013871. doi: 10.1002/14651858.CD013871.pub2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Kociolek LK, Gerding DN. 2016. Breakthroughs in the treatment and prevention of Clostridium difficile infection. Nat Rev Gastroenterol Hepatol 13:150–160. doi: 10.1038/nrgastro.2015.220 [DOI] [PubMed] [Google Scholar]
- 44. Buffie Charlie G., Bucci V, Stein RR, McKenney PT, Ling L, Gobourne A, No D, Liu H, Kinnebrew M, Viale A, Littmann E, van den Brink MRM, Jenq RR, Taur Y, Sander C, Cross JR, Toussaint NC, Xavier JB, Pamer EG. 2015. Precision microbiome reconstitution restores bile acid mediated resistance to Clostridium difficile. Nature 517:205–208. doi: 10.1038/nature13828 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Buffie C.G, Pamer EG. 2013. Microbiota-mediated colonization resistance against intestinal pathogens. Nat Rev Immunol 13:790–801. doi: 10.1038/nri3535 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Kordus SL, Thomas AK, Lacy DB. 2022. Clostridioides difficile toxins: mechanisms of action and antitoxin therapeutics. Nat Rev Microbiol 20:285–298. doi: 10.1038/s41579-021-00660-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Gerding DN, Johnson S, Rupnik M, Aktories K. 2014. Clostridium difficile binary toxin CDT: mechanism, epidemiology, and potential clinical importance. Gut Microbes 5:15–27. doi: 10.4161/gmic.26854 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Hasegawa M, Yamazaki T, Kamada N, Tawaratsumida K, Kim YG, Núñez G, Inohara N. 2011. Nucleotide-binding oligomerization domain 1 mediates recognition of Clostridium difficile and induces neutrophil recruitment and protection against the pathogen. J Immunol 186:4872–4880. doi: 10.4049/jimmunol.1003761 [DOI] [PubMed] [Google Scholar]
- 49. Ryan A, Lynch M, Smith SM, Amu S, Nel HJ, McCoy CE, Dowling JK, Draper E, O’Reilly V, McCarthy C, O’Brien J, Ní Eidhin D, O’Connell MJ, Keogh B, Morton CO, Rogers TR, Fallon PG, O’Neill LA, Kelleher D, Loscher CE. 2011. A role for TLR4 in Clostridium difficile infection and the recognition of surface layer proteins. PLoS Pathog 7:e1002076. doi: 10.1371/journal.ppat.1002076 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Batah J, Denève-Larrazet C, Jolivot P-A, Kuehne S, Collignon A, Marvaud J-C, Kansau I. 2016. Clostridium difficile flagella predominantly activate TLR5-linked NF-kappaB pathway in epithelial cells. Anaerobe 38:116–124. doi: 10.1016/j.anaerobe.2016.01.002 [DOI] [PubMed] [Google Scholar]
- 51. Clooney AG, Eckenberger J, Laserna-Mendieta E, Sexton KA, Bernstein MT, Vagianos K, Sargent M, Ryan FJ, Moran C, Sheehan D, Sleator RD, Targownik LE, Bernstein CN, Shanahan F, Claesson MJ. 2021. Ranking microbiome variance in inflammatory bowel disease: a large longitudinal intercontinental study. Gut 70:499–510. doi: 10.1136/gutjnl-2020-321106 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Xu P, Lv T, Dong S, Cui Z, Luo X, Jia B, Jeon CO, Zhang J. 2022. Association between intestinal microbiome and inflammatory bowel disease: Insights from bibliometric analysis. Comput Struct Biotechnol J 20:1716–1725. doi: 10.1016/j.csbj.2022.04.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Qiu P, Ishimoto T, Fu L, Zhang J, Zhang Z, Liu Y. 2022. The gut microbiota in inflammatory bowel disease. Front Cell Infect Microbiol 12:733992. doi: 10.3389/fcimb.2022.733992 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Morgan XC, Tickle TL, Sokol H, Gevers D, Devaney KL, Ward DV, Reyes JA, Shah SA, LeLeiko N, Snapper SB, Bousvaros A, Korzenik J, Sands BE, Xavier RJ, Huttenhower C. 2012. Dysfunction of the intestinal microbiome in inflammatory bowel disease and treatment. Genome Biol 13:R79. doi: 10.1186/gb-2012-13-9-r79 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Magne F, Gotteland M, Gauthier L, Zazueta A, Pesoa S, Navarrete P, Balamurugan R. 2020. The Firmicutes/Bacteroidetes ratio: a relevant marker of gut dysbiosis in obese patients? Nutrients 12:1474. doi: 10.3390/nu12051474 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Norman JM, Handley SA, Baldridge MT, Droit L, Liu CY, Keller BC, Kambal A, Monaco CL, Zhao G, Fleshner P, Stappenbeck TS, McGovern DPB, Keshavarzian A, Mutlu EA, Sauk J, Gevers D, Xavier RJ, Wang D, Parkes M, Virgin HW. 2015. Disease-specific alterations in the enteric virome in inflammatory bowel disease. Cell 160:447–460. doi: 10.1016/j.cell.2015.01.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Zuo T, Lu XJ, Zhang Y, Cheung CP, Lam S, Zhang F, Tang W, Ching JYL, Zhao R, Chan PKS, Sung JJY, Yu J, Chan FKL, Cao Q, Sheng JQ, Ng SC. 2019. Gut mucosal virome alterations in ulcerative colitis. Gut 68:1169–1179. doi: 10.1136/gutjnl-2018-318131 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58. Hvas CL, Dahl Jørgensen SM, Jørgensen SP, Storgaard M, Lemming L, Hansen MM, Erikstrup C, Dahlerup JF. 2019. Fecal microbiota transplantation is superior to fidaxomicin for treatment of recurrent Clostridium difficile infection. Gastroenterology 156:1324–1332. doi: 10.1053/j.gastro.2018.12.019 [DOI] [PubMed] [Google Scholar]
- 59. Baunwall SMD, Andreasen SE, Hansen MM, Kelsen J, Høyer KL, Rågård N, Eriksen LL, Støy S, Rubak T, Damsgaard EMS, Mikkelsen S, Erikstrup C, Dahlerup JF, Hvas CL. 2022. Faecal microbiota transplantation for first or second Clostridioides difficile infection (EarlyFMT): a randomised, double-blind, placebo-controlled trial. Lancet Gastroenterol Hepatol 7:1083–1091. doi: 10.1016/S2468-1253(22)00276-X [DOI] [PubMed] [Google Scholar]
- 60. van Nood E, Vrieze A, Nieuwdorp M, Fuentes S, Zoetendal EG, de Vos WM, Visser CE, Kuijper EJ, Bartelsman JFWM, Tijssen JGP, Speelman P, Dijkgraaf MGW, Keller JJ. 2013. Duodenal infusion of donor feces for recurrent Clostridium difficile. N Engl J Med 368:407–415. doi: 10.1056/NEJMoa1205037 [DOI] [PubMed] [Google Scholar]
- 61. Kelly CR, Khoruts A, Staley C, Sadowsky MJ, Abd M, Alani M, Bakow B, Curran P, McKenney J, Tisch A, Reinert SE, Machan JT, Brandt LJ. 2016. Effect of fecal microbiota transplantation on recurrence in multiply recurrent Clostridium difficile infection. Ann Intern Med 165:609. doi: 10.7326/M16-0271 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62. Lee CH, Steiner T, Petrof EO, Smieja M, Roscoe D, Nematallah A, Weese JS, Collins S, Moayyedi P, Crowther M, Ropeleski MJ, Jayaratne P, Higgins D, Li Y, Rau NV, Kim PT. 2016. Frozen vs fresh fecal microbiota transplantation and clinical resolution of diarrhea in patients with recurrent Clostridium difficile infection: a randomized clinical trial. JAMA 315:142–149. doi: 10.1001/jama.2015.18098 [DOI] [PubMed] [Google Scholar]
- 63. Kao D, Roach B, Silva M, Beck P, Rioux K, Kaplan GG, Chang H-J, Coward S, Goodman KJ, Xu H, Madsen K, Mason A, Wong GK-S, Jovel J, Patterson J, Louie T. 2017. Effect of oral capsule vs colonoscopy-delivered fecal microbiota transplantation on recurrent Clostridium difficile infection: a randomized clinical trial. JAMA 318:1985–1993. doi: 10.1001/jama.2017.17077 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64. Jiang ZD, Ajami NJ, Petrosino JF, Jun G, Hanis CL, Shah M, Hochman L, Ankoma-Sey V, DuPont AW, Wong MC, Alexander A, Ke S, DuPont HL. 2017. Randomised clinical trial: faecal microbiota transplantation for recurrent Clostridum difficile infection – fresh, or frozen, or lyophilised microbiota from a small pool of healthy donors delivered by colonoscopy. Aliment Pharmacol Ther 45:899–908. doi: 10.1111/apt.13969 [DOI] [PubMed] [Google Scholar]
- 65. Quraishi MN, Widlak M, Bhala N, Moore D, Price M, Sharma N, Iqbal TH. 2017. Systematic review with meta-analysis: the efficacy of faecal microbiota transplantation for the treatment of recurrent and refractory Clostridium difficile infection. Aliment Pharmacol Ther 46:479–493. doi: 10.1111/apt.14201 [DOI] [PubMed] [Google Scholar]
- 66. Ramai D, Zakhia K, Fields PJ, Ofosu A, Patel G, Shahnazarian V, Lai JK, Dhaliwal A, Reddy M, Chang S. 2021. Fecal microbiota transplantation (FMT) with colonoscopy is superior to enema and nasogastric tube while comparable to capsule for the treatment of recurrent Clostridioides difficile infection: a systematic review and meta-analysis. Dig Dis Sci 66:369–380. doi: 10.1007/s10620-020-06185-7 [DOI] [PubMed] [Google Scholar]
- 67. Pomares Bascuñana RÁ, Veses V, Sheth CC. 2021. Effectiveness of fecal microbiota transplant for the treatment of Clostridioides difficile diarrhea: a systematic review and meta-analysis. Lett Appl Microbiol 73:149–158. doi: 10.1111/lam.13486 [DOI] [PubMed] [Google Scholar]
- 68. Hota SS, Sales V, Tomlinson G, Salpeter MJ, McGeer A, Coburn B, Guttman DS, Low DE, Poutanen SM. 2017. Oral vancomycin followed by fecal transplantation versus tapering oral vancomycin treatment for recurrent Clostridium difficile infection. Clin Infect Dis 64:265–271. doi: 10.1093/cid/ciw731 [DOI] [PubMed] [Google Scholar]
- 69. Dubberke ER, Lee CH, Orenstein R, Khanna S, Hecht G, Gerding DN. 2018. Results from a randomized, placebo-controlled clinical trial of a RB x2660-a microbiota-based drug for the prevention of recurrent Clostridium difficile infection. Clin Infect Dis 67:1198–1204. doi: 10.1093/cid/ciy259 [DOI] [PubMed] [Google Scholar]
- 70. Saha S, Mara K, Pardi DS, Khanna S. 2021. Durability of response to fecal microbiota transplantation after exposure to risk factors for recurrence in patients with Clostridioides difficile infection. Clin Infect Dis 73:e1706–e1712. doi: 10.1093/cid/ciaa1457 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71. Gulati M, Singh SK, Corrie L, Kaur IP, Chandwani L. 2020. Delivery routes for faecal microbiota transplants: available, anticipated and aspired. Pharmacol Res 159:104954. doi: 10.1016/j.phrs.2020.104954 [DOI] [PubMed] [Google Scholar]
- 72. Peery AF, Kelly CR, Kao D, Vaughn BP, Lebwohl B, Singh S, Imdad A, Altayar O, AGA Clinical Guidelines Committee . 2024. AGA clinical practice guideline on fecal microbiota-based therapies for select gastrointestinal diseases. Gastroenterology 166:409–434. doi: 10.1053/j.gastro.2024.01.008 [DOI] [PubMed] [Google Scholar]
- 73. Khanna S, Assi M, Lee C, Yoho D, Louie T, Knapple W, Aguilar H, Garcia-Diaz J, Wang GP, Berry SM, Marion J, Su X, Braun T, Bancke L, Feuerstadt P. 2022. Efficacy and safety of RBx2660 in PUNCH CD3, a phase III, randomized, double-blind, placebo-controlled trial with a Bayesian primary analysis for the prevention of recurrent Clostridioides difficile infection. Drugs 82:1527–1538. doi: 10.1007/s40265-022-01797-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74. Osman M, Stoltzner Z, O’Brien K, Ling K, Koelsch E, Dubois N, Amaratunga K, Smith M, Kassam Z. 2016. Donor efficacy in fecal microbiota transplantation for recurrent Clostridium difficile: evidence from a 1,999-patient cohort. Open Forum Infect Dis 3. doi: 10.1093/ofid/ofw194.48 [DOI] [Google Scholar]
- 75. DeFilipp Z, Bloom PP, Torres Soto M, Mansour MK, Sater MRA, Huntley MH, Turbett S, Chung RT, Chen YB, Hohmann EL. 2019. Drug-resistant E.coli bacteremia transmitted by fecal microbiota transplant. N Engl J Med 381:2043–2050. doi: 10.1056/NEJMoa1910437 [DOI] [PubMed] [Google Scholar]
- 76. van Lingen EE, Baunwall SSMD, Lieberknecht SSC, Benech NN, Ianiro GG, Sokol HH, Gasbarrini AA, Cammarota GG, Eriksen MMK, van der Meulen-de Jong AAE, Terveer EEM, Verspaget HHW, Vehreschild MM, Hvas CCL, Keller JJJ. 2023. Short- and long-term follow-up after fecal microbiota transplantation as treatment for recurrent Clostridioides difficile infection in patients with inflammatory bowel disease. Therap Adv Gastroenterol 16:17562848231156285. doi: 10.1177/17562848231156285 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77. Fischer M, Kao D, Kelly C, Kuchipudi A, Jafri SM, Blumenkehl M, Rex D, Mellow M, Kaur N, Sokol H, Cook G, Hamilton MJ, Phelps E, Sipe B, Xu H, Allegretti JR. 2016. Fecal microbiota transplantation is safe and efficacious for recurrent or refractory Clostridium difficile infection in patients with inflammatory bowel disease. Inflamm Bowel Dis 22:2402–2409. doi: 10.1097/MIB.0000000000000908 [DOI] [PubMed] [Google Scholar]
- 78. Kelly CR, Ihunnah C, Fischer M, Khoruts A, Surawicz C, Afzali A, Aroniadis O, Barto A, Borody T, Giovanelli A, et al. 2014. Fecal microbiota transplant for treatment of Clostridium difficile infection in immunocompromised patients. Am J Gastroenterol 109:1065–1071. doi: 10.1038/ajg.2014.133 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79. McDonald LC, Gerding DN, Johnson S, Bakken JS, Carroll KC, Coffin SE, Dubberke ER, Garey KW, Gould CV, Kelly C, Loo V, Shaklee Sammons J, Sandora TJ, Wilcox MH. 2018. Clinical practice guidelines for Clostridium difficile infection in adults and children: 2017 update by the infectious diseases society of America (IDSA) and society for healthcare epidemiology of America (SHEA). Clin Infect Dis 66:e1–e48. doi: 10.1093/cid/cix1085 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80. Kelly CR, Fischer M, Allegretti JR, LaPlante K, Stewart DB, Limketkai BN, Stollman NH. 2021. ACG clinical guidelines: prevention, diagnosis, and treatment of Clostridioides difficile infections. Am J Gastroenterol 116:1124–1147. doi: 10.14309/ajg.0000000000001278 [DOI] [PubMed] [Google Scholar]
- 81. Kao D, Wong K, Franz R, Cochrane K, Sherriff K, Chui L, Lloyd C, Roach B, Bai AD, Petrof EO, Allen-Vercoe E. 2021. The effect of a microbial ecosystem therapeutic (MET-2) on recurrent Clostridioides difficile infection: a phase 1, open-label, single-group trial. Lancet Gastroenterol Hepatol 6:282–291. doi: 10.1016/S2468-1253(21)00007-8 [DOI] [PubMed] [Google Scholar]
- 82. Louie T, Golan Y, Khanna S, Bobilev D, Erpelding N, Fratazzi C, Carini M, Menon R, Ruisi M, Norman JM, Faith JJ, Olle B, Li M, Silber JL, Pardi DS. 2023. VE303, a defined bacterial consortium, for prevention of recurrent Clostridioides difficile infection. JAMA 329:1356. doi: 10.1001/jama.2023.4314 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83. Zuo T, Wong SH, Lam K, Lui R, Cheung K, Tang W, Ching JYL, Chan PKS, Chan MCW, Wu JCY, Chan FKL, Yu J, Sung JJY, Ng SC. 2018. Bacteriophage transfer during faecal microbiota transplantation in Clostridium difficile infection is associated with treatment outcome. Gut 67:634–643. doi: 10.1136/gutjnl-2017-313952 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84. Seekatz AM, Theriot CM, Rao K, Chang YM, Freeman AE, Kao JY, Young VB. 2018. Restoration of short chain fatty acid and bile acid metabolism following fecal microbiota transplantation in patients with recurrent Clostridium difficile infection. Anaerobe 53:64–73. doi: 10.1016/j.anaerobe.2018.04.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85. Cook L, Rees WD, Wong MQ, Peters H, Levings MK, Steiner TS. 2021. Fecal microbiota transplantation for recurrent Clostridioides difficile infection enhances adaptive immunity to C difficile toxin B. Gastroenterology 160:2155–2158. doi: 10.1053/j.gastro.2021.01.009 [DOI] [PubMed] [Google Scholar]
- 86. Monaghan TM, Seekatz AM, Markham NO, Yau TO, Hatziapostolou M, Jilani T, Christodoulou N, Roach B, Birli E, Pomenya O, Louie T, Lacy DB, Kim P, Lee C, Kao D, Polytarchou C. 2021. Fecal microbiota transplantation for recurrent Clostridioides difficile infection associates with functional alterations in circulating microRNAs. Gastroenterology 161:255–270. doi: 10.1053/j.gastro.2021.03.050 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87. Ma GK, Brensinger CM, Wu Q, Lewis JD. 2017. Increasing incidence of multiply recurrent Clostridium difficile infection in the United States: a cohort study. Ann Intern Med 167:152–158. doi: 10.7326/M16-2733 [DOI] [PubMed] [Google Scholar]
- 88. Reveles KR, Yang M, Garcia-Horton V, Edwards ML, Guo A, Lodise T, Bochan M, Tillotson G, Dubberke ER. 2023. Economic impact of recurrent Clostridioides difficile infection in the USA: a systematic literature review and cost synthesis. Adv Ther 40:3104–3134. doi: 10.1007/s12325-023-02498-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89. Louie TJ, Miller MA, Mullane KM, Weiss K, Lentnek A, Golan Y, Gorbach S, Sears P, Shue Y-K, OPT-80-003 Clinical Study Group . 2011. Fidaxomicin versus vancomycin for Clostridium difficile infection. N Engl J Med 364:422–431. doi: 10.1056/NEJMoa0910812 [DOI] [PubMed] [Google Scholar]
- 90. Wilcox MH, Gerding DN, Poxton IR, Kelly C, Nathan R, Birch T, Cornely OA, Rahav G, Bouza E, Lee C, Jenkin G, Jensen W, Kim YS, Yoshida J, Gabryelski L, Pedley A, Eves K, Tipping R, Guris D, Kartsonis N, Dorr MB. 2017. Bezlotoxumab for prevention of recurrent Clostridium difficile infection. N Engl J Med 376:305–317. doi: 10.1056/NEJMoa1602615 [DOI] [PubMed] [Google Scholar]
- 91. Johnson S, Lavergne V, Skinner AM, Gonzales-Luna AJ, Garey KW, Kelly CP, Wilcox MH. 2021. Clinical practice guideline by the infectious diseases society of America (IDSA) and society for healthcare epidemiology of America (SHEA): 2021 focused update guidelines on management of Clostridioides difficile infection in adults. Clin Infect Dis 73:e1029–e1044. doi: 10.1093/cid/ciab549 [DOI] [PubMed] [Google Scholar]
- 92. van Prehn J, Reigadas E, Vogelzang EH, Bouza E, Hristea A, Guery B, Krutova M, Norén T, Allerberger F, Coia JE, Goorhuis A, van Rossen TM, Ooijevaar RE, Burns K, Scharvik Olesen BR, Tschudin-Sutter S, Wilcox MH, Vehreschild MJGT, Fitzpatrick F, Kuijper EJ, Guideline Committee of the European Study Group on Clostridioides difficile . 2021. European society of clinical microbiology and infectious diseases: 2021 update on the treatment guidance document for Clostridioides difficile infection in adults. Clin Microbiol Infect 27 Suppl 2:S1–S21. doi: 10.1016/j.cmi.2021.09.038 [DOI] [PubMed] [Google Scholar]
- 93. Hui W, Li T, Liu W, Zhou C, Gao F. 2019. Fecal microbiota transplantation for treatment of recurrent C. difficile infection: an updated randomized controlled trial meta-analysis. PLoS One 14:e0210016. doi: 10.1371/journal.pone.0210016 [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
- 94. Ianiro G, Maida M, Burisch J, Simonelli C, Hold G, Ventimiglia M, Gasbarrini A, Cammarota G. 2018. Efficacy of different faecal microbiota transplantation protocols for Clostridium difficile infection: a systematic review and meta-analysis. United European Gastroenterol J 6:1232–1244. doi: 10.1177/2050640618780762 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95. Mullish BH, Quraishi MN, Segal JP, McCune VL, Baxter M, Marsden GL, Moore DJ, Colville A, Bhala N, Iqbal TH, Settle C, Kontkowski G, Hart AL, Hawkey PM, Goldenberg SD, Williams HRT. 2018. The use of faecal microbiota transplant as treatment for recurrent or refractory Clostridium difficile infection and other potential indications: joint british society of gastroenterology (BSG) and healthcare infection society (HIS) guidelines. Gut 67:1920–1941. doi: 10.1136/gutjnl-2018-316818 [DOI] [PubMed] [Google Scholar]
- 96. Peeray A. KCR, Kao D, Vaughn BP, Lebwohl B. Singh S, Imdad A, Altayar O. 2023. American gastroenterological association intestinal microbiota transplant guideline. Available from: https://gastro.org/news/intestinal-microbiota-transplant-guideline-public-comment/
- 97. Ianiro G, Murri R, Sciumè GD, Impagnatiello M, Masucci L, Ford AC, Law GR, Tilg H, Sanguinetti M, Cauda R, Gasbarrini A, Fantoni M, Cammarota G. 2019. Incidence of bloodstream infections, length of hospital stay, and survival in patients with recurrent Clostridioides difficile infection treated with fecal microbiota transplantation or antibiotics: a prospective cohort study. Ann Intern Med 171:695–702. doi: 10.7326/M18-3635 [DOI] [PubMed] [Google Scholar]
- 98. Staley C, Hamilton MJ, Vaughn BP, Graiziger CT, Newman KM, Kabage AJ, Sadowsky MJ, Khoruts A. 2017. Successful resolution of recurrent Clostridium difficile infection using freeze-dried, encapsulated fecal microbiota; pragmatic cohort study. Am J Gastroenterol 112:940–947. doi: 10.1038/ajg.2017.6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99. Furuya-Kanamori L, Doi SAR, Paterson DL, Helms SK, Yakob L, McKenzie SJ, Garborg K, Emanuelsson F, Stollman N, Kronman MP, Clark J, Huber CA, Riley TV, Clements ACA. 2017. Upper versus lower gastrointestinal delivery for transplantation of fecal microbiota in recurrent or refractory Clostridium difficile infection: a collaborative analysis of individual patient data from 14 studies. J Clin Gastroenterol 51:145–150. doi: 10.1097/MCG.0000000000000511 [DOI] [PubMed] [Google Scholar]
- 100. Halaweish HF, Boatman S, Staley C. 2022. Encapsulated fecal microbiota transplantation: development, efficacy, and clinical application. Front Cell Infect Microbiol 12:826114. doi: 10.3389/fcimb.2022.826114 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101. US Food and Drug Administration . 2022. Enforcement policy regarding investigational new drug requirements for use of fecal microbiota for transplantation to treat Clostridium difficile infection not responsive to standard therapies. Available from: https://www.fda.gov/regulatory-information/search-fda-guidance-documents/enforcement-policy-regarding-investigational-new-drug-requirements-use-fecal-microbiota
- 102. Health Canada . 2022. Fecal microbiota therapy used in the treatment of Clostridioides difficile infection not responsive to conventional therapies. Available from: https://www.canada.ca/en/health-canada/services/drugs-health-products/biologics-radiopharmaceuticals-genetic-therapies/applications-submissions/guidance-documents/regulation-fecal-microbiota-therapy-treatment-difficile-infections.html. Retrieved 22 Jun 2023.
- 103. Tixier EN, Verheyen E, Ungaro RC, Grinspan AM. 2019. Faecal microbiota transplant decreases mortality in severe and fulminant Clostridioides difficile infection in critically ill patients. Aliment Pharmacol Ther 50:1094–1099. doi: 10.1111/apt.15526 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104. Mironova M, Ehrlich AC, Grinspan A, Protano MA. 2022. Fecal microbiota transplantation may reduce the mortality of patients with severe and fulminant Clostridioides difficile infection compared to standard-of-care antibiotics in a community hospital. J Dig Dis 23:500–505. doi: 10.1111/1751-2980.13134 [DOI] [PubMed] [Google Scholar]
- 105. Cheng Y-W, Phelps E, Nemes S, Rogers N, Sagi S, Bohm M, El-Halabi M, Allegretti JR, Kassam Z, Xu H, Fischer M. 2020. Fecal microbiota transplant decreases mortality in patients with refractory severe or fulminant Clostridioides difficile infection. Clin Gastroenterol Hepatol 18:2234–2243. doi: 10.1016/j.cgh.2019.12.029 [DOI] [PubMed] [Google Scholar]
- 106. Fischer M, Sipe BW, Rogers NA, Cook GK, Robb BW, Vuppalanchi R, Rex DK. 2015. Faecal microbiota transplantation plus selected use of vancomycin for severe-complicated Clostridium difficile infection: description of a protocol with high success rate. Aliment Pharmacol Ther 42:470–476. doi: 10.1111/apt.13290 [DOI] [PubMed] [Google Scholar]
- 107. Ianiro G, Masucci L, Quaranta G, Simonelli C, Lopetuso LR, Sanguinetti M, Gasbarrini A, Cammarota G. 2018. Randomised clinical trial: faecal microbiota transplantation by colonoscopy plus vancomycin for the treatment of severe refractory Clostridium difficile infection-single versus multiple infusions. Aliment Pharmacol Ther 48:152–159. doi: 10.1111/apt.14816 [DOI] [PubMed] [Google Scholar]
- 108. Tixier EN, Verheyen E, Luo Y, Grinspan LT, Du CH, Ungaro RC, Walsh S, Grinspan AM. 2022. Systematic review with meta-analysis: fecal microbiota transplantation for severe or fulminant Clostridioides difficile. Dig Dis Sci 67:978–988. doi: 10.1007/s10620-021-06908-4 [DOI] [PubMed] [Google Scholar]
- 109. Song YN, Yang DY, Veldhuyzen van Zanten S, Wong K, McArthur E, Song CZ, Ianiro G, Cammarota G, Kelly C, Fischer M, Russell L, Kao D. 2022. Fecal microbiota transplantation for severe or fulminant Clostridioides difficile infection systematic review and meta-analysis. J Can Assoc Gastroenterol 5:e1–e11. doi: 10.1093/jcag/gwab023 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110. Moayyedi P, Surette MG, Kim PT, Libertucci J, Wolfe M, Onischi C, Armstrong D, Marshall JK, Kassam Z, Reinisch W, Lee CH. 2015. Fecal microbiota transplantation induces remission in patients with active ulcerative colitis in a randomized controlled trial. Gastroenterology 149:102–109. doi: 10.1053/j.gastro.2015.04.001 [DOI] [PubMed] [Google Scholar]
- 111. Paramsothy S, Kamm MA, Kaakoush NO, Walsh AJ, van den Bogaerde J, Samuel D, Leong RWL, Connor S, Ng W, Paramsothy R, Xuan W, Lin E, Mitchell HM, Borody TJ. 2017. Multidonor intensive faecal microbiota transplantation for active ulcerative colitis: a randomised placebo-controlled trial. Lancet 389:1218–1228. doi: 10.1016/S0140-6736(17)30182-4 [DOI] [PubMed] [Google Scholar]
- 112. Costello SP, Hughes PA, Waters O, Bryant RV, Vincent AD, Blatchford P, Katsikeros R, Makanyanga J, Campaniello MA, Mavrangelos C, Rosewarne CP, Bickley C, Peters C, Schoeman MN, Conlon MA, Roberts-Thomson IC, Andrews JM. 2019. Effect of fecal microbiota transplantation on 8-week remission in patients with ulcerative colitis: a randomized clinical trial. JAMA 321:156–164. doi: 10.1001/jama.2018.20046 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113. Haifer C, Paramsothy S, Kaakoush NO, Saikal A, Ghaly S, Yang T, Luu LDW, Borody TJ, Leong RW. 2022. Lyophilised oral faecal microbiota transplantation for ulcerative colitis (LOTUS): a randomised, double-blind, placebo-controlled trial. Lancet Gastroenterol Hepatol 7:141–151. doi: 10.1016/S2468-1253(21)00400-3 [DOI] [PubMed] [Google Scholar]
- 114. Sarbagili Shabat C, Scaldaferri F, Zittan E, Hirsch A, Mentella MC, Musca T, Cohen NA, Ron Y, Fliss Isakov N, Pfeffer J, Yaakov M, Fanali C, Turchini L, Masucci L, Quaranta G, Kolonimos N, Godneva A, Weinberger A, Kopylov U, Levine A, Maharshak N. 2022. Use of faecal transplantation with a novel diet for mild to moderate active ulcerative colitis: the CRAFT UC randomised controlled trial. J Crohns Colitis 16:369–378. doi: 10.1093/ecco-jcc/jjab165 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115. Rossen NG, Fuentes S, van der Spek MJ, Tijssen JG, Hartman JHA, Duflou A, Löwenberg M, van den Brink GR, Mathus-Vliegen EMH, de Vos WM, Zoetendal EG, D’Haens GR, Ponsioen CY. 2015. Findings from a randomized controlled trial of fecal transplantation for patients with ulcerative colitis. Gastroenterology 149:110–118. doi: 10.1053/j.gastro.2015.03.045 [DOI] [PubMed] [Google Scholar]
- 116. Imdad A, Pandit NG, Zaman M, Minkoff NZ, Tanner-Smith EE, Gomez-Duarte OG, Acra S, Nicholson MR. 2023. Fecal transplantation for treatment of inflammatory bowel disease. Cochrane Database Syst Rev 2023:CD012774. doi: 10.1002/14651858.CD012774.pub3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117. Levast B, Fontaine M, Nancey S, Dechelotte P, Doré J, Lehert P. 2023. Single-donor and pooling strategies for fecal microbiota transfer product preparation in ulcerative colitis: a systematic review and meta-analysis. Clin Transl Gastroenterol 14:e00568. doi: 10.14309/ctg.0000000000000568 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118. El Hage Chehade N, Ghoneim S, Shah S, Chahine A, Mourad FH, Francis FF, Binion DG, Farraye FA, Hashash JG. 2023. Efficacy of fecal microbiota transplantation in the treatment of active ulcerative colitis: a systematic review and meta-analysis of double-blind randomized controlled trials. Inflamm Bowel Dis 29:808–817. doi: 10.1093/ibd/izac135 [DOI] [PubMed] [Google Scholar]
- 119. Zhao HL, Chen SZ, Xu HM, Zhou YL, He J, Huang HL, Xu J, Nie YQ. 2020. Efficacy and safety of fecal microbiota transplantation for treating patients with ulcerative colitis: a systematic review and meta-analysis. J Dig Dis 21:534–548. doi: 10.1111/1751-2980.12933 [DOI] [PubMed] [Google Scholar]
- 120. Kedia S, Virmani S, K Vuyyuru S, Kumar P, Kante B, Sahu P, Kaushal K, Farooqui M, Singh M, Verma M, Bajaj A, Markandey M, Sachdeva K, Das P, Makharia GK, Ahuja V. 2022. Faecal microbiota transplantation with anti-inflammatory diet (FMT-AID) followed by anti-inflammatory diet alone is effective in inducing and maintaining remission over 1 year in mild to moderate ulcerative colitis: a randomised controlled trial. Gut 71:2401–2413. doi: 10.1136/gutjnl-2022-327811 [DOI] [PubMed] [Google Scholar]
- 121. Yadegar A, Pakpoor S, Ibrahim FF, Nabavi-Rad A, Cook L, Walter J, Seekatz AM, Wong K, Monaghan TM, Kao D. 2023. Beneficial effects of fecal microbiota transplantation in recurrent Clostridioides difficile infection. Cell Host Microbe 31:695–711. doi: 10.1016/j.chom.2023.03.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122. Porcari S, Benech N, Valles-Colomer M, Segata N, Gasbarrini A, Cammarota G, Sokol H, Ianiro G. 2023. Key determinants of success in fecal microbiota transplantation: from microbiome to clinic. Cell Host Microbe 31:712–733. doi: 10.1016/j.chom.2023.03.020 [DOI] [PubMed] [Google Scholar]
- 123. Podlesny D, Durdevic M, Paramsothy S, Kaakoush NO, Högenauer C, Gorkiewicz G, Walter J, Fricke WF. 2022. Identification of clinical and ecological determinants of strain engraftment after fecal microbiota transplantation using metagenomics. Cell Rep Med 3:100711. doi: 10.1016/j.xcrm.2022.100711 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124. Aroniadis OC, Brandt LJ, Oneto C, Feuerstadt P, Sherman A, Wolkoff AW, Kassam Z, Sadovsky RG, Elliott RJ, Budree S, Kim M, Keller MJ. 2019. Faecal microbiota transplantation for diarrhoea-predominant irritable bowel syndrome: a double-blind, randomised, placebo-controlled trial. Lancet Gastroenterol Hepatol 4:675–685. doi: 10.1016/S2468-1253(19)30198-0 [DOI] [PubMed] [Google Scholar]
- 125. Holvoet T, Joossens M, Vázquez-Castellanos JF, Christiaens E, Heyerick L, Boelens J, Verhasselt B, van Vlierberghe H, De Vos M, Raes J, De Looze D. 2021. Fecal microbiota transplantation reduces symptoms in some patients with irritable bowel syndrome with predominant abdominal bloating: short- and long-term results from a placebo-controlled randomized trial. Gastroenterology 160:145–157. doi: 10.1053/j.gastro.2020.07.013 [DOI] [PubMed] [Google Scholar]
- 126. Johnsen PH, Hilpüsch F, Cavanagh JP, Leikanger IS, Kolstad C, Valle PC, Goll R. 2018. Faecal microbiota transplantation versus placebo for moderate-to-severe irritable bowel syndrome: a double-blind, randomised, placebo-controlled, parallel-group, single-centre trial. Lancet Gastroenterol Hepatol 3:17–24. doi: 10.1016/S2468-1253(17)30338-2 [DOI] [PubMed] [Google Scholar]
- 127. Lahtinen P, Jalanka J, Hartikainen A, Mattila E, Hillilä M, Punkkinen J, Koskenpato J, Anttila VJ, Tillonen J, Satokari R, Arkkila P. 2020. Randomised clinical trial: faecal microbiota transplantation versus Autologous placebo administered via colonoscopy in irritable bowel syndrome. Aliment Pharmacol Ther 51:1321–1331. doi: 10.1111/apt.15740 [DOI] [PubMed] [Google Scholar]
- 128. Madsen AMA, Halkjær SI, Christensen AH, Günther S, Browne PD, Kallemose T, Hansen LH, Petersen AM. 2021. The effect of faecal microbiota transplantation on abdominal pain, stool frequency, and stool form in patients with moderate-to-severe irritable bowel syndrome: results from a randomised, double-blind, placebo-controlled study. Scand J Gastroenterol 56:761–769. doi: 10.1080/00365521.2021.1915375 [DOI] [PubMed] [Google Scholar]
- 129. El-Salhy M, Hatlebakk JG, Gilja OH, Bråthen Kristoffersen A, Hausken T. 2020. Efficacy of faecal microbiota transplantation for patients with irritable bowel syndrome in a randomised, double-blind, placebo-controlled study. Gut 69:859–867. doi: 10.1136/gutjnl-2019-319630 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130. Halkjær SI, Christensen AH, Lo BZS, Browne PD, Günther S, Hansen LH, Petersen AM. 2018. Faecal microbiota transplantation alters gut microbiota in patients with irritable bowel syndrome: results from a randomised, double-blind placebo-controlled study. Gut 67:2107–2115. doi: 10.1136/gutjnl-2018-316434 [DOI] [PubMed] [Google Scholar]
- 131. Halkjær SI, Lo B, Cold F, Højer Christensen A, Holster S, König J, Brummer RJ, Aroniadis OC, Lahtinen P, Holvoet T, Gluud LL, Petersen AM. 2023. Fecal microbiota transplantation for the treatment of irritable bowel syndrome: a systematic review and meta-analysis. World J Gastroenterol 29:3185–3202. doi: 10.3748/wjg.v29.i20.3185 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132. Mohan BP, Loganathan P, Khan SR, Garg G, Muthusamy A, Ponnada S, Pasam RT, Chandan S, Tuteja A. 2023. Fecal microbiota transplant delivered via invasive routes in irritable bowel syndrome: a systematic review and meta-analysis of randomized controlled trials. Indian J Gastroenterol 42:315–323. doi: 10.1007/s12664-023-01373-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133. Wang M, Xie X, Zhao S, Ma X, Wang Z, Zhang Y. 2023. Fecal microbiota transplantation for irritable bowel syndrome: a systematic review and meta-analysis of randomized controlled trials. Front Immunol 14:1136343. doi: 10.3389/fimmu.2023.1136343 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134. Vrieze A, Van Nood E, Holleman F, Salojärvi J, Kootte RS, Bartelsman JFWM, Dallinga–Thie GM, Ackermans MT, Serlie MJ, Oozeer R, Derrien M, Druesne A, Van Hylckama Vlieg JET, Bloks VW, Groen AK, Heilig HGHJ, Zoetendal EG, Stroes ES, de Vos WM, Hoekstra JBL, Nieuwdorp M. 2012. Transfer of intestinal microbiota from lean donors increases insulin sensitivity in individuals with metabolic syndrome. Gastroenterology 143:913–916. doi: 10.1053/j.gastro.2012.06.031 [DOI] [PubMed] [Google Scholar]
- 135. Mocanu V, Zhang Z, Deehan EC, Kao DH, Hotte N, Karmali S, Birch DW, Samarasinghe KK, Walter J, Madsen KL. 2021. Fecal microbial transplantation and fiber supplementation in patients with severe obesity and metabolic syndrome: a randomized double-blind, placebo-controlled phase 2 trial. Nat Med 27:1272–1279. doi: 10.1038/s41591-021-01399-2 [DOI] [PubMed] [Google Scholar]
- 136. Leong KSW, Jayasinghe TN, Wilson BC, Derraik JGB, Albert BB, Chiavaroli V, Svirskis DM, Beck KL, Conlon CA, Jiang Y, Schierding W, Vatanen T, Holland DJ, O’Sullivan JM, Cutfield WS. 2020. Effects of fecal microbiome transfer in adolescents with obesity the gut bugs randomized controlled trial. JAMA Netw Open 3:e2030415. doi: 10.1001/jamanetworkopen.2020.30415 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137. Lahtinen P, Juuti A, Luostarinen M, Niskanen L, Liukkonen T, Tillonen J, Kössi J, Ilvesmäki V, Viljakka M, Satokari R, Arkkila P. 2022. Effectiveness of fecal microbiota transplantation for weight loss in patients with obesity undergoing bariatric surgery: a randomized clinical trial. JAMA Netw Open 5:e2247226. doi: 10.1001/jamanetworkopen.2022.47226 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138. Wang Y, Wiesnoski DH, Helmink BA, Gopalakrishnan V, Choi K, DuPont HL, Jiang Z-D, Abu-Sbeih H, Sanchez CA, Chang C-C, Parra ER, Francisco-Cruz A, Raju GS, Stroehlein JR, Campbell MT, Gao J, Subudhi SK, Maru DM, Blando JM, Lazar AJ, Allison JP, Sharma P, Tetzlaff MT, Wargo JA, Jenq RR. 2018. Fecal microbiota transplantation for refractory immune checkpoint inhibitor-associated colitis. Nat Med 24:1804–1808. doi: 10.1038/s41591-018-0238-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139. Groenewegen B, Terveer EM, Joosse A, Barnhoorn MC, Zwittink RD. 2023. Fecal microbiota transplantation for immune checkpoint inhibitor-induced colitis is safe and contributes to recovery: two case reports. J Immunother 46:216–220. doi: 10.1097/CJI.0000000000000474 [DOI] [PubMed] [Google Scholar]
- 140. Halsey TM, Thomas AS, Hayase T, Ma W, Abu-Sbeih H, Sun B, Parra ER, Jiang ZD, DuPont HL, Sanchez C, El-Himri R, Brown A, Flores I, McDaniel L, Ortega Turrubiates M, Hensel M, Pham D, Watowich SS, Hayase E, Chang CC, Jenq RR, Wang Y. 2023. Microbiome alteration via fecal microbiota transplantation is effective for refractory immune checkpoint inhibitor-induced colitis. Sci Transl Med 15:eabq4006. doi: 10.1126/scitranslmed.abq4006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141. Wang Y, Ma W, Abu-Sbeih H, Jiang Z-D, DuPont HL. 2020. Fecal microbiota transplantation (FMT) for immune checkpoint inhibitor induced–colitis (IMC) refractory to immunosuppressive therapy. J Clin Oncol 38:3067–3067. doi: 10.1200/JCO.2020.38.15_suppl.3067 [DOI] [Google Scholar]
- 142. Davar D, Dzutsev AK, McCulloch JA, Rodrigues RR, Chauvin JM, Morrison RM, Deblasio RN, Menna C, Ding Q, Pagliano O, et al. 2021. Fecal microbiota transplant overcomes resistance to anti-PD-1 therapy in melanoma patients. Science 371:595–602. doi: 10.1126/science.abf3363 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 143. Baruch EN, Youngster I, Ben-Betzalel G, Ortenberg R, Lahat A, Katz L, Adler K, Dick-Necula D, Raskin S, Bloch N, et al. 2021. Fecal microbiota transplant promotes response in immunotherapy-refractory melanoma patients. Science 371:602–609. doi: 10.1126/science.abb5920 [DOI] [PubMed] [Google Scholar]
- 144. Routy B, Lenehan JG, Miller WH Jr, Jamal R, Messaoudene M, Daisley BA, Hes C, Al KF, Martinez-Gili L, Punčochář M, et al. 2023. Fecal microbiota transplantation plus anti-PD-1 immunotherapy in advanced melanoma: a phase I trial. Nat Med 29:2121–2132. doi: 10.1038/s41591-023-02453-x [DOI] [PubMed] [Google Scholar]
- 145. Johnson S, Lavergne V, Skinner AM, Gonzales-Luna AJ, Garey KW, Kelly CP, Wilcox MH. 2021. Clinical practice guideline by the infectious diseases society of America (IDSA) and society for healthcare epidemiology of America (SHEA): 2021 focused update guidelines on management of Clostridioides difficile infection in adults. Clin Infect Dis 73:e1029–e1044. doi: 10.1093/cid/ciab549 [DOI] [PubMed] [Google Scholar]
- 146. Pu D, Zhang Z, Feng B. 2022. Alterations and potential applications of gut microbiota in biological therapy for inflammatory bowel diseases. Front Pharmacol 13:906419. doi: 10.3389/fphar.2022.906419 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147. Zhang B, Yang L, Ning H, Cao M, Chen Z, Chen Q, Lian G, Tang H, Wang Q, Wang J, Lin Z, Wen J, Liu Y, Xuan J, Li X, Lin A, He J, Zhang L, Hou X, Zeng Q, Xiao C. 2023. A matching strategy to guide donor selection for ulcerative colitis in fecal microbiota transplantation: meta-analysis and analytic hierarchy process. Microbiol Spectr 11:e0215921. doi: 10.1128/spectrum.02159-21 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148. Pittayanon R, Lau JT, Leontiadis GI, Tse F, Yuan Y, Surette M, Moayyedi P. 2020. Differences in gut microbiota in patients with vs without inflammatory bowel diseases: a systematic review. Gastroenterology 158:930–946. doi: 10.1053/j.gastro.2019.11.294 [DOI] [PubMed] [Google Scholar]
- 149. Machiels K, Joossens M, Sabino J, De Preter V, Arijs I, Eeckhaut V, Ballet V, Claes K, Van Immerseel F, Verbeke K, Ferrante M, Verhaegen J, Rutgeerts P, Vermeire S. 2014. A decrease of the butyrate-producing species Roseburia hominis and Faecalibacterium prausnitzii defines dysbiosis in patients with ulcerative colitis. Gut 63:1275–1283. doi: 10.1136/gutjnl-2013-304833 [DOI] [PubMed] [Google Scholar]
- 150. Del Vecchio LE, Fiorani M, Tohumcu E, Bibbò S, Porcari S, Mele MC, Pizzoferrato M, Gasbarrini A, Cammarota G, Ianiro G. 2022. Risk factors, diagnosis, and management of Clostridioides difficile infection in patients with inflammatory bowel disease. Microorganisms 10:1315. doi: 10.3390/microorganisms10071315 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 151. Tariq R, Syed T, Yadav D, Prokop LJ, Singh S, Loftus EV, Pardi DS, Khanna S. 2023. Outcomes of fecal microbiota transplantation for C. difficile infection in inflammatory bowel disease: a systematic review and meta-analysis. J Clin Gastroenterol 57:285–293. doi: 10.1097/MCG.0000000000001633 [DOI] [PubMed] [Google Scholar]
- 152. Cheng F, Huang Z, Li Z, Wei W. 2022. Efficacy and safety of fecal microbiota transplant for recurrent Clostridium difficile infection in inflammatory bowel disease: a systematic review and meta-analysis. Rev Esp Enferm Dig 114:543–549. doi: 10.17235/reed.2022.8814/2022 [DOI] [PubMed] [Google Scholar]
- 153. Chen T, Zhou Q, Zhang D, Jiang F, Wu J, Zhou JY, Zheng X, Chen YG. 2018. Effect of faecal microbiota transplantation for treatment of Clostridium difficile infection in patients with inflammatory bowel disease: a systematic review and meta-analysis of cohort studies. J Crohns Colitis 12:710–717. doi: 10.1093/ecco-jcc/jjy031 [DOI] [PubMed] [Google Scholar]
- 154. Porcari S, Baunwall SMD, Occhionero AS, Ingrosso MR, Ford AC, Hvas CL, Gasbarrini A, Cammarota G, Ianiro G. 2023. Fecal microbiota transplantation for recurrent C. difficile infection in patients with inflammatory bowel disease: a systematic review and meta-analysis. J Autoimmun 141:103036. doi: 10.1016/j.jaut.2023.103036 [DOI] [PubMed] [Google Scholar]
- 155. Hulisz D. 2004. The burden of illness of irritable bowel syndrome: current challenges and hope for the future. J Manag Care Pharm 10:299–309. doi: 10.18553/jmcp.2004.10.4.299 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 156. Labus JS, Hollister EB, Jacobs J, Kirbach K, Oezguen N, Gupta A, Acosta J, Luna RA, Aagaard K, Versalovic J, Savidge T, Hsiao E, Tillisch K, Mayer EA. 2017. Differences in gut microbial composition correlate with regional brain volumes in irritable bowel syndrome. Microbiome 5:49. doi: 10.1186/s40168-017-0260-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157. Jeffery IB, O’Toole PW, Öhman L, Claesson MJ, Deane J, Quigley EMM, Simrén M. 2012. An irritable bowel syndrome subtype defined by species-specific alterations in faecal microbiota. Gut 61:997–1006. doi: 10.1136/gutjnl-2011-301501 [DOI] [PubMed] [Google Scholar]
- 158. Carroll IM, Ringel-Kulka T, Keku TO, Chang YH, Packey CD, Sartor RB, Ringel Y. 2011. Molecular analysis of the luminal- and mucosal-associated intestinal microbiota in diarrhea-predominant irritable bowel syndrome. Am J Physiol Gastrointest Liver Physiol 301:G799–807. doi: 10.1152/ajpgi.00154.2011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 159. Carroll IM, Ringel-Kulka T, Siddle JP, Ringel Y. 2012. Alterations in composition and diversity of the intestinal microbiota in patients with diarrhea-predominant irritable bowel syndrome. Neurogastroenterol Motil 24:521–530, doi: 10.1111/j.1365-2982.2012.01891.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 160. Pozuelo M, Panda S, Santiago A, Mendez S, Accarino A, Santos J, Guarner F, Azpiroz F, Manichanh C. 2015. Reduction of butyrate- and methane-producing microorganisms in patients with Irritable bowel syndrome. Sci Rep 5:12693. doi: 10.1038/srep12693 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 161. Singh P, Alm EJ, Kelley JM, Cheng V, Smith M, Kassam Z, Nee J, Iturrino J, Lembo A. 2022. Effect of antibiotic pretreatment on bacterial engraftment after fecal microbiota transplant (FMT) in IBS-D. Gut Microbes 14:2020067. doi: 10.1080/19490976.2021.2020067 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 162. El-Salhy M, Gilja OH, Hatlebakk JG. 2024. Factors affecting the outcome of fecal microbiota transplantation for patients with irritable bowel syndrome. Neurogastroenterol Motil 36:e14641. doi: 10.1111/nmo.14641 [DOI] [PubMed] [Google Scholar]
- 163. Ianiro G, Punčochář M, Karcher N, Porcari S, Armanini F, Asnicar F, Beghini F, Blanco-Míguez A, Cumbo F, Manghi P, Pinto F, Masucci L, Quaranta G, De Giorgi S, Sciumè GD, Bibbò S, Del Chierico F, Putignani L, Sanguinetti M, Gasbarrini A, Valles-Colomer M, Cammarota G, Segata N. 2022. Variability of strain engraftment and predictability of microbiome composition after fecal microbiota transplantation across different diseases. Nat Med 28:1913–1923. doi: 10.1038/s41591-022-01964-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 164. Pi-Sunyer X, Astrup A, Fujioka K, Greenway F, Halpern A, Krempf M, Lau DCW, le Roux CW, Violante Ortiz R, Jensen CB, Wilding JPH, SCALE Obesity and Prediabetes NN8022-1839 Study Group . 2015. A randomized, controlled trial of 3.0 mg of liraglutide in weight management. N Engl J Med 373:11–22. doi: 10.1056/NEJMoa1411892 [DOI] [PubMed] [Google Scholar]
- 165. Lundgren JR, Janus C, Jensen SBK, Juhl CR, Olsen LM, Christensen RM, Svane MS, Bandholm T, Bojsen-Møller KN, Blond MB, Jensen J-EB, Stallknecht BM, Holst JJ, Madsbad S, Torekov SS. 2021. Healthy weight loss maintenance with exercise, liraglutide, or both combined. N Engl J Med 384:1719–1730. doi: 10.1056/NEJMoa2028198 [DOI] [PubMed] [Google Scholar]
- 166. Weghuber D, Barrett T, Barrientos-Pérez M, Gies I, Hesse D, Jeppesen OK, Kelly AS, Mastrandrea LD, Sørrig R, Arslanian S, STEP TEENS Investigators . 2022. Once-weekly semaglutide in adolescents with obesity. N Engl J Med 387:2245–2257. doi: 10.1056/NEJMoa2208601 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 167. Rubino DM, Greenway FL, Khalid U, O’Neil PM, Rosenstock J, Sørrig R, Wadden TA, Wizert A, Garvey WT, STEP 8 Investigators . 2022. Effect of weekly subcutaneous semaglutide vs daily liraglutide on body weight in adults with overweight or obesity without diabetes: the STEP 8 randomized clinical trial. JAMA 327:138–150. doi: 10.1001/jama.2021.23619 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 168. Wilding JPH, Batterham RL, Calanna S, Davies M, Van Gaal LF, Lingvay I, McGowan BM, Rosenstock J, Tran MTD, Wadden TA, Wharton S, Yokote K, Zeuthen N, Kushner RF, STEP 1 Study Group . 2021. Once-weekly semaglutide in adults with overweight or obesity. N Engl J Med 384:989–1002. doi: 10.1056/NEJMoa2032183 [DOI] [PubMed] [Google Scholar]
- 169. Tang WHW, Wang Z, Levison BS, Koeth RA, Britt EB, Fu X, Wu Y, Hazen SL. 2013. Intestinal microbial metabolism of phosphatidylcholine and cardiovascular risk. N Engl J Med 368:1575–1584. doi: 10.1056/NEJMoa1109400 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 170. Turnbaugh PJ, Ley RE, Mahowald MA, Magrini V, Mardis ER, Gordon JI. 2006. An obesity-associated gut microbiome with increased capacity for energy harvest. Nature 444:1027–1031. doi: 10.1038/nature05414 [DOI] [PubMed] [Google Scholar]
- 171. Dabke K, Hendrick G, Devkota S. 2019. The gut microbiome and metabolic syndrome. J Clin Invest 129:4050–4057. doi: 10.1172/JCI129194 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 172. Yu EW, Gao L, Stastka P, Cheney MC, Mahabamunuge J, Torres Soto M, Ford CB, Bryant JA, Henn MR, Hohmann EL. 2020. Fecal microbiota transplantation for the improvement of metabolism in obesity: the FMT-TRIM double-blind placebo-controlled pilot trial. PLoS Med 17:e1003051. doi: 10.1371/journal.pmed.1003051 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 173. Bakker GJ, Meijnikman AS, Scheithauer TP, Davids M, Aydin Ö, Boerlage TCC, de Brauw LM, van de Laar AW, Gerdes VE, Groen AK, van Raalte DH, Herrema H, Nieuwdorp M. 2022. Fecal microbiota transplantation does not alter bacterial translocation and visceral adipose tissue inflammation in individuals with obesity. Obes Sci Pract 8:56–65. doi: 10.1002/osp4.545 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 174. Ng SC, Xu Z, Mak JWY, Yang K, Liu Q, Zuo T, Tang W, Lau L, Lui RN, Wong SH, Tse YK, Li AYL, Cheung K, Ching JYL, Wong VWS, Kong APS, Ma RCW, Chow EYK, Wong SKH, Ho ICH, Chan PKS, Chan FKL. 2022. Microbiota engraftment after faecal microbiota transplantation in obese subjects with type 2 diabetes: a 24-week, double-blind, randomised controlled trial. Gut 71:716–723. doi: 10.1136/gutjnl-2020-323617 [DOI] [PubMed] [Google Scholar]
- 175. Allegretti JR, Kassam Z, Mullish BH, Chiang A, Carrellas M, Hurtado J, Marchesi JR, McDonald JAK, Pechlivanis A, Barker GF, Miguéns Blanco J, Garcia-Perez I, Wong WF, Gerardin Y, Silverstein M, Kennedy K, Thompson C. 2020. Effects of fecal microbiota transplantation with oral capsules in obese patients. Clin Gastroenterol Hepatol 18:855–863. doi: 10.1016/j.cgh.2019.07.006 [DOI] [PubMed] [Google Scholar]
- 176. Craven L, Rahman A, Nair Parvathy S, Beaton M, Silverman J, Qumosani K, Hramiak I, Hegele R, Joy T, Meddings J, Urquhart B, Harvie R, McKenzie C, Summers K, Reid G, Burton JP, Silverman M. 2020. Allogenic fecal microbiota transplantation in patients with nonalcoholic fatty liver disease improves abnormal small intestinal permeability: a randomized control trial. Am J Gastroenterol 115:1055–1065. doi: 10.14309/ajg.0000000000000661 [DOI] [PubMed] [Google Scholar]
- 177. Smits LP, Kootte RS, Levin E, Prodan A, Fuentes S, Zoetendal EG, Wang Z, Levison BS, Cleophas MCP, Kemper EM, Dallinga-Thie GM, Groen AK, Joosten LAB, Netea MG, Stroes ESG, de Vos WM, Hazen SL, Nieuwdorp M. 2018. Effect of vegan fecal microbiota transplantation on carnitine‐ and choline‐derived trimethylamine‐N‐oxide production and vascular inflammation in patients with metabolic syndrome. J Am Heart Assoc 7:e008342. doi: 10.1161/JAHA.117.008342 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 178. de Groot P, Nikolic T, Pellegrini S, Sordi V, Imangaliyev S, Rampanelli E, Hanssen N, Attaye I, Bakker G, Duinkerken G, et al. 2021. Faecal microbiota transplantation halts progression of human new-onset type 1 diabetes in a randomised controlled trial. Gut 70:92–105. doi: 10.1136/gutjnl-2020-322630 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 179. Wilson BC, Vatanen T, Jayasinghe TN, Leong KSW, Derraik JGB, Albert BB, Chiavaroli V, Svirskis DM, Beck KL, Conlon CA, Jiang Y, Schierding W, Holland DJ, Cutfield WS, O’Sullivan JM. 2021. Strain engraftment competition and functional augmentation in a multi-donor fecal microbiota transplantation trial for obesity. Microbiome 9:107. doi: 10.1186/s40168-021-01060-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 180. Xu Z, Mak JWY, Lin Y, Yang K, Liu Q, Zhang F, Lau L, Tang W, Ching JY, Tun HM, Chan P, Chan FKL, Ng SC. 2023. Mixed-donor faecal microbiota transplantation was associated with increased butyrate-producing bacteria for obesity. Gut:gutjnl–2022 doi: 10.1136/gutjnl-2022-328993 [DOI] [PubMed] [Google Scholar]
- 181. Proença IM, Allegretti JR, Bernardo WM, de Moura DTH, Ponte Neto AM, Matsubayashi CO, Flor MM, Kotinda APST, de Moura EGH. 2020. Fecal microbiota transplantation improves metabolic syndrome parameters: systematic review with meta-analysis based on randomized clinical trials. Nutrition Research 83:1–14. doi: 10.1016/j.nutres.2020.06.018 [DOI] [PubMed] [Google Scholar]
- 182. Qiu B, Liang J, Li C. 2023. Effects of fecal microbiota transplantation in metabolic syndrome: a meta-analysis of randomized controlled trials. PLoS One 18:e0288718. doi: 10.1371/journal.pone.0288718 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 183. Johnson DB, Nebhan CA, Moslehi JJ, Balko JM. 2022. Immune-checkpoint inhibitors: long-term implications of toxicity. Nat Rev Clin Oncol 19:254–267. doi: 10.1038/s41571-022-00600-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 184. Ting NL-N, Lau HC-H, Yu J. 2022. Cancer pharmacomicrobiomics: targeting microbiota to optimise cancer therapy outcomes. Gut 71:1412–1425. doi: 10.1136/gutjnl-2021-326264 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 185. Li X, Zhang S, Guo G, Han J, Yu J. 2022. Gut microbiome in modulating immune checkpoint inhibitors. eBioMedicine 82:104163. doi: 10.1016/j.ebiom.2022.104163 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 186. Shi Z, Li H, Song W, Zhou Z, Li Z, Zhang M. 2023. Emerging roles of the gut microbiota in cancer immunotherapy. Front Immunol 14:1139821. doi: 10.3389/fimmu.2023.1139821 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 187. Park EM, Chelvanambi M, Bhutiani N, Kroemer G, Zitvogel L, Wargo JA. 2022. Targeting the gut and tumor microbiota in cancer. Nat Med 28:690–703. doi: 10.1038/s41591-022-01779-2 [DOI] [PubMed] [Google Scholar]
- 188. Koo H, Morrow CD. 2021. Incongruence between dominant commensal donor microbes in recipient feces post fecal transplant and response to anti-PD-1 immunotherapy. BMC Microbiol 21:251. doi: 10.1186/s12866-021-02312-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 189. Tripathi A, Debelius J, Brenner DA, Karin M, Loomba R, Schnabl B, Knight R. 2018. The gut-liver axis and the intersection with the microbiome. Nat Rev Gastroenterol Hepatol 15:397–411. doi: 10.1038/s41575-018-0011-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 190. Trebicka J, Bork P, Krag A, Arumugam M. 2021. Utilizing the gut microbiome in decompensated cirrhosis and acute-on-chronic liver failure. Nat Rev Gastroenterol Hepatol 18:167–180. doi: 10.1038/s41575-020-00376-3 [DOI] [PubMed] [Google Scholar]
- 191. Bajaj JS, Gavis EA, Fagan A, Wade JB, Thacker LR, Fuchs M, Patel S, Davis B, Meador J, Puri P, Sikaroodi M, Gillevet PM. 2021. A randomized clinical trial of fecal microbiota transplant for alcohol use disorder. Hepatology 73:1688–1700. doi: 10.1002/hep.31496 [DOI] [PubMed] [Google Scholar]
- 192. Meijnikman AS, Davids M, Herrema H, Aydin O, Tremaroli V, Rios-Morales M, Levels H, Bruin S, de Brauw M, Verheij J, et al. 2022. Microbiome-derived ethanol in nonalcoholic fatty liver disease. Nat Med 28:2100–2106. doi: 10.1038/s41591-022-02016-6 [DOI] [PubMed] [Google Scholar]
- 193. Hov JR, Karlsen TH. 2023. The microbiota and the gut-liver axis in primary sclerosing cholangitis. Nat Rev Gastroenterol Hepatol 20:135–154. doi: 10.1038/s41575-022-00690-y [DOI] [PubMed] [Google Scholar]
- 194. Zigmond E, Zecher BF, Bartels A-L, Ziv-Baran T, Rösch T, Schachschal G, Lohse AW, Ehlken H, Schramm C. 2023. Bile duct colonization with Enterococcus sp. associates with disease progression in primary sclerosing cholangitis. Clin Gastroenterol Hepatol 21:1223–1232. doi: 10.1016/j.cgh.2022.09.006 [DOI] [PubMed] [Google Scholar]
- 195. Bajaj JS, Fagan A, Gavis EA, Kassam Z, Sikaroodi M, Gillevet PM. 2019. Long-term outcomes of fecal microbiota transplantation in patients with cirrhosis. Gastroenterology 156:1921–1923. doi: 10.1053/j.gastro.2019.01.033 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 196. Bajaj JS, Kassam Z, Fagan A, Gavis EA, Liu E, Cox IJ, Kheradman R, Heuman D, Wang J, Gurry T, Williams R, Sikaroodi M, Fuchs M, Alm E, John B, Thacker LR, Riva A, Smith M, Taylor-Robinson SD, Gillevet PM. 2017. Fecal microbiota transplant from a rational stool donor improves hepatic encephalopathy: a randomized clinical trial. Hepatology 66:1727–1738. doi: 10.1002/hep.29306 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 197. Pande A, Sharma S, Khillan V, Rastogi A, Arora V, Shasthry SM, Vijayaraghavan R, Jagdish R, Kumar M, Kumar G, Mondot S, Dore J, Sarin SK. 2023. Fecal microbiota transplantation compared with prednisolone in severe alcoholic hepatitis patients: a randomized trial. Hepatol Int 17:249–261. doi: 10.1007/s12072-022-10438-0 [DOI] [PubMed] [Google Scholar]
- 198. Philips CA, Ahamed R, Rajesh S, Singh S, Tharakan A, Abduljaleel JK, Augustine P. 2022. Clinical outcomes and gut microbiota analysis of severe alcohol-associated hepatitis patients undergoing healthy donor fecal transplant or pentoxifylline therapy: single-center experience from Kerala. Gastroenterol Rep (Oxf) 10:goac074. doi: 10.1093/gastro/goac074 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 199. Philips CA, Phadke N, Ganesan K, Ranade S, Augustine P. 2018. Corticosteroids, nutrition, pentoxifylline, or fecal microbiota transplantation for severe alcoholic hepatitis. Indian J Gastroenterol 37:215–225. doi: 10.1007/s12664-018-0859-4 [DOI] [PubMed] [Google Scholar]
- 200. Philips CA, Ahamed R, Rajesh S, Abduljaleel JKP, Augustine P. 2022. Long-term outcomes of stool transplant in alcohol-associated hepatitis-analysis of clinical outcomes, relapse gut microbiota and comparisons with standard care. J Clin Exp Hepatol 12:1124–1132. doi: 10.1016/j.jceh.2022.01.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 201. Bajaj JS. 2019. Alcohol, liver disease and the gut microbiota. Nat Rev Gastroenterol Hepatol 16:235–246. doi: 10.1038/s41575-018-0099-1 [DOI] [PubMed] [Google Scholar]
- 202. Witjes JJ, Smits LP, Pekmez CT, Prodan A, Meijnikman AS, Troelstra MA, Bouter KEC, Herrema H, Levin E, Holleboom AG, Winkelmeijer M, Beuers UH, van Lienden K, Aron-Wisnewky J, Mannisto V, Bergman JJ, Runge JH, Nederveen AJ, Dragsted LO, Konstanti P, Zoetendal EG, de Vos W, Verheij J, Groen AK, Nieuwdorp M. 2020. Donor fecal microbiota transplantation alters gut microbiota and metabolites in obese individuals with steatohepatitis. Hepatol Commun 4:1578–1590. doi: 10.1002/hep4.1601 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 203. Xue L, Deng Z, Luo W, He X, Chen Y. 2022. Effect of fecal microbiota transplantation on non-alcoholic fatty liver disease: a randomized clinical trial. Front Cell Infect Microbiol 12:759306. doi: 10.3389/fcimb.2022.759306 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 204. Henig I, Yehudai-Ofir D, Zuckerman T. 2021. The clinical role of the gut microbiome and fecal microbiota transplantation in allogeneic stem cell transplantation. Haematologica 106:933–946. doi: 10.3324/haematol.2020.247395 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 205. Han L, Zhang H, Chen S, Zhou L, Li Y, Zhao K, Huang F, Fan Z, Xuan L, Zhang X, Dai M, Lin Q, Jiang Z, Peng J, Jin H, Liu Q. 2019. Intestinal microbiota can predict acute graft-versus-host disease following allogeneic hematopoietic stem cell transplantation. Biol Blood Marrow Transplant 25:1944–1955. doi: 10.1016/j.bbmt.2019.07.006 [DOI] [PubMed] [Google Scholar]
- 206. Peled JU, Gomes ALC, Devlin SM, Littmann ER, Taur Y, Sung AD, Weber D, Hashimoto D, Slingerland AE, Slingerland JB, et al. 2020. Microbiota as predictor of mortality in allogeneic hematopoietic-cell transplantation. N Engl J Med 382:822–834. doi: 10.1056/NEJMoa1900623 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 207. Taur Y, Xavier JB, Lipuma L, Ubeda C, Goldberg J, Gobourne A, Lee YJ, Dubin KA, Socci ND, Viale A, Perales M-A, Jenq RR, van den Brink MRM, Pamer EGvan den. 2012. Intestinal domination and the risk of bacteremia in patients undergoing allogeneic hematopoietic stem cell transplantation. Clin Infect Dis 55:905–914. doi: 10.1093/cid/cis580 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 208. Zeiser R, Blazar BR. 2017. Acute graft-versus-host disease - biologic process, prevention, and therapy. N Engl J Med 377:2167–2179. doi: 10.1056/NEJMra1609337 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 209. Seike K, Kiledal A, Fujiwara H, Henig I, Burgos da Silva M, van den Brink MRM, Hein R, Hoostal M, Liu C, Oravecz-Wilson K, Lauder E, Li L, Sun Y, Schmidt TM, Shah YM, Jenq RR, Dick G, Reddy P. 2023. Ambient oxygen levels regulate intestinal dysbiosis and GVHD severity after allogeneic stem cell transplantation. Immunity 56:353–368. doi: 10.1016/j.immuni.2023.01.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 210. Tanaka JS, Young RR, Heston SM, Jenkins K, Spees LP, Sung AD, Corbet K, Thompson JC, Bohannon L, Martin PL, Stokhuyzen A, Vinesett R, Ward DV, Bhattarai SK, Bucci V, Arshad M, Seed PC, Kelly MS. 2020. Anaerobic antibiotics and the risk of graft-versus-host disease after allogeneic hematopoietic stem cell transplantation. Biol Blood Marrow Transplant 26:2053–2060. doi: 10.1016/j.bbmt.2020.07.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 211. Alabdaljabar MS, Aslam HM, Veeraballi S, Faizee FA, Husain BH, Iqbal SM, Hashmi SK. 2022. Restoration of the original inhabitants: a systematic review on fecal microbiota transplantation for graft-versus-host disease. Cureus 14:e23873. doi: 10.7759/cureus.23873 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 212. Qiao X, Biliński J, Wang L, Yang T, Luo R, Fu Y, Yang G. 2023. Safety and efficacy of fecal microbiota transplantation in the treatment of graft-versus-host disease. Bone Marrow Transplant 58:10–19. doi: 10.1038/s41409-022-01824-1 [DOI] [PubMed] [Google Scholar]
- 213. Liu Y, Zhao Y, Qi J, Ma X, Qi X, Wu D, Xu Y. 2022. Fecal microbiota transplantation combined with ruxolitinib as a salvage treatment for intestinal steroid-refractory acute GVHD. Exp Hematol Oncol 11:96. doi: 10.1186/s40164-022-00350-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 214. Biliński J, Jasiński M, Tomaszewska A, Lis K, Kacprzyk P, Chmielewska L, Karakulska-Prystupiuk E, Mullish BH, Basak GW. 2021. Fecal microbiota transplantation with ruxolitinib as a treatment modality for steroid-refractory/dependent acute, gastrointestinal graft-versus-host disease: a case series. Am J Hematol 96:E461–E463. doi: 10.1002/ajh.26365 [DOI] [PubMed] [Google Scholar]
- 215. DeFilipp Z, Peled JU, Li S, Mahabamunuge J, Dagher Z, Slingerland AE, Del Rio C, Valles B, Kempner ME, Smith M, et al. 2018. Third-party fecal microbiota transplantation following allo-HCT reconstitutes microbiome diversity. Blood Adv 2:745–753. doi: 10.1182/bloodadvances.2018017731 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 216. Taur Y, Coyte K, Schluter J, Robilotti E, Figueroa C, Gjonbalaj M, Littmann ER, Ling L, Miller L, Gyaltshen Y, et al. 2018. Reconstitution of the gut microbiota of antibiotic-treated patients by autologous fecal microbiota transplant. Sci Transl Med 10:eaap9489. doi: 10.1126/scitranslmed.aap9489 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 217. Shogbesan O, Poudel DR, Victor S, Jehangir A, Fadahunsi O, Shogbesan G, Donato A. 2018. A systematic review of the efficacy and safety of fecal microbiota transplant for Clostridium difficile infection in immunocompromised patients. Can J Gastroenterol Hepatol 2018:1394379. doi: 10.1155/2018/1394379 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 218. Bilsen MP, Lambregts MMC, van Prehn J, Kuijper EJ. 2022. Faecal microbiota replacement to eradicate antimicrobial resistant bacteria in the intestinal tract - a systematic review. Curr Opin Gastroenterol 38:15–25. doi: 10.1097/MOG.0000000000000792 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 219. Tacconelli E, Mazzaferri F, de Smet AM, Bragantini D, Eggimann P, Huttner BD, Kuijper EJ, Lucet J-C, Mutters NT, Sanguinetti M, Schwaber MJ, Souli M, Torre-Cisneros J, Price JR, Rodríguez-Baño J. 2019. ESCMID-EUCIC clinical guidelines on decolonization of multidrug-resistant Gram-negative bacteria carriers. Clin Microbiol Infect 25:807–817. doi: 10.1016/j.cmi.2019.01.005 [DOI] [PubMed] [Google Scholar]
- 220. Korach-Rechtman H, Hreish M, Fried C, Gerassy-Vainberg S, Azzam ZS, Kashi Y, Berger G. 2020. Intestinal dysbiosis in carriers of carbapenem-resistant Enterobacteriaceae. mSphere 5:e00173-20. doi: 10.1128/mSphere.00173-20 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 221. Araos R, Montgomery V, Ugalde JA, Snyder GM, D’Agata EMC. 2017. Microbial disruption indices to detect colonization with multidrug-resistant organisms. Infect Control Hosp Epidemiol 38:1312–1318. doi: 10.1017/ice.2017.190 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 222. Worby CJ, Schreiber HL 4th, Straub TJ, van Dijk LR, Bronson RA, Olson BS, Pinkner JS, Obernuefemann CLP, Muñoz VL, Paharik AE, Azimzadeh PN, Walker BJ, Desjardins CA, Chou W-C, Bergeron K, Chapman SB, Klim A, Manson AL, Hannan TJ, Hooton TM, Kau AL, Lai HH, Dodson KW, Hultgren SJ, Earl AM. 2022. Longitudinal multi-omics analyses link gut microbiome dysbiosis with recurrent urinary tract infections in women. Nat Microbiol 7:630–639. doi: 10.1038/s41564-022-01107-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 223. Ducarmon QR, Zwittink RD, Willems RPJ, Verhoeven A, Nooij S, van der Klis FRM, Franz E, Kool J, Giera M, Vandenbroucke-Grauls CMJE, Fuentes S, Kuijper EJ. 2022. Gut colonisation by extended-spectrum β-lactamase-producing Escherichia coli and its association with the gut microbiome and metabolome in Dutch adults: a matched case-control study. Lancet Microbe 3:e443–e451. doi: 10.1016/S2666-5247(22)00037-4 [DOI] [PubMed] [Google Scholar]
- 224. Leung V, Vincent C, Edens TJ, Miller M, Manges AR. 2018. Antimicrobial resistance gene acquisition and depletion following fecal microbiota transplantation for recurrent Clostridium difficile infection. Clin Infect Dis 66:456–457. doi: 10.1093/cid/cix821 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 225. Millan B, Park H, Hotte N, Mathieu O, Burguiere P, Tompkins TA, Kao D, Madsen KL. 2016. Fecal microbial transplants reduce antibiotic-resistant genes in patients with recurrent Clostridium difficile infection. Clin Infect Dis 62:1479–1486. doi: 10.1093/cid/ciw185 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 226. Macareño-Castro J, Solano-Salazar A, Dong LT, Mohiuddin M, Espinoza JL. 2022. Fecal microbiota transplantation for carbapenem-resistant enterobacteriaceae:a systematic review. J Infect 84:749–759. doi: 10.1016/j.jinf.2022.04.028 [DOI] [PubMed] [Google Scholar]
- 227. Bar-Yoseph H, Carasso S, Shklar S, Korytny A, Even Dar R, Daoud H, Nassar R, Maharshak N, Hussein K, Geffen Y, Chowers Y, Geva-Zatorsky N, Paul M. 2021. Oral capsulized fecal microbiota transplantation for eradication of carbapenemase-producing Enterobacteriaceae colonization with a metagenomic perspective. Clin Infect Dis 73:e166–e175. doi: 10.1093/cid/ciaa737 [DOI] [PubMed] [Google Scholar]
- 228. Hyun J, Lee SK, Cheon JH, Yong DE, Koh H, Kang YK, Kim MH, Sohn Y, Cho Y, Baek YJ, Kim JH, Ahn JY, Jeong SJ, Yeom JS, Choi JY. 2022. Faecal microbiota transplantation reduces amounts of antibiotic resistance genes in patients with multidrug-resistant organisms. Antimicrob Resist Infect Control 11:20. doi: 10.1186/s13756-022-01064-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 229. Huttner BD, de Lastours V, Wassenberg M, Maharshak N, Mauris A, Galperine T, Zanichelli V, Kapel N, Bellanger A, Olearo F, Duval X, Armand-Lefevre L, Carmeli Y, Bonten M, Fantin B, Harbarth S, R-Gnosis WP3 study group . 2019. A 5-day course of oral antibiotics followed by faecal transplantation to eradicate carriage of multidrug-resistant Enterobacteriaceae: a randomized clinical trial. Clin Microbiol Infect 25:830–838. doi: 10.1016/j.cmi.2018.12.009 [DOI] [PubMed] [Google Scholar]
- 230. Woodworth MH, Conrad RE, Haldopoulos M, Pouch SM, Babiker A, Mehta AK, Sitchenko KL, Wang CH, Strudwick A, Ingersoll JM, et al. 2023. Fecal microbiota transplantation promotes reduction of antimicrobial resistance by strain replacement. Sci Transl Med 15:eabo2750. doi: 10.1126/scitranslmed.abo2750 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 231. Merrick B, Robinson E, Bunce C, Allen L, Bisnauthsing K, Izundu CC, Bell J, Amos G, Shankar-Hari M, Goodman A, Shawcross DL, Goldenberg SD. 2020. Faecal microbiota transplant to ERadicate gastrointestinal carriage of antibiotic resistant organisms (FERARO): a prospective, randomised placebo-controlled feasibility trial. BMJ Open 10:e038847. doi: 10.1136/bmjopen-2020-038847 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 232. Pérez-Nadales E, Cano Á, Recio M, Artacho MJ, Guzmán-Puche J, Doblas A, Vidal E, Natera C, Martínez-Martínez L, Torre-Cisneros J, Castón JJ. 2022. Randomised, double-blind, placebo-controlled, phase 2, superiority trial to demonstrate the effectiveness of faecal microbiota transplantation for selective intestinal decolonisation of patients colonised by carbapenemase-producing Klebsiella pneumoniae (KAPEDIS). BMJ Open 12:e058124. doi: 10.1136/bmjopen-2021-058124 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 233. Hodges H, Fealko C, Soares N. 2020. Autism spectrum disorder: definition, epidemiology, causes, and clinical evaluation. Transl Pediatr 9:S55–S65. doi: 10.21037/tp.2019.09.09 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 234. Lai MC, Lombardo MV, Baron-Cohen S. 2014. Autism. Lancet 383:896–910. doi: 10.1016/S0140-6736(13)61539-1 [DOI] [PubMed] [Google Scholar]
- 235. Ho LKH, Tong VJW, Syn N, Nagarajan N, Tham EH, Tay SK, Shorey S, Tambyah PA, Law ECN. 2020. Gut microbiota changes in children with autism spectrum disorder: a systematic review. Gut Pathog 12:6. doi: 10.1186/s13099-020-0346-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 236. Lasheras I, Real-López M, Santabárbara J. 2023. Prevalence of gastrointestinal symptoms in autism spectrum disorder: a meta-analysis. An Pediatr (Engl Ed) 99:102–110. doi: 10.1016/j.anpede.2023.07.003 [DOI] [PubMed] [Google Scholar]
- 237. Chaidez V, Hansen RL, Hertz-Picciotto I. 2014. Gastrointestinal problems in children with autism, developmental delays or typical development. J Autism Dev Disord 44:1117–1127. doi: 10.1007/s10803-013-1973-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 238. Adams JB, Johansen LJ, Powell LD, Quig D, Rubin RA. 2011. Gastrointestinal flora and gastrointestinal status in children with autism--comparisons to typical children and correlation with autism severity. BMC Gastroenterol 11:22. doi: 10.1186/1471-230X-11-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 239. Sandler RH, Finegold SM, Bolte ER, Buchanan CP, Maxwell AP, Väisänen ML, Nelson MN, Wexler HM. 2000. Short-term benefit from oral vancomycin treatment of regressive-onset autism. J Child Neurol 15:429–435. doi: 10.1177/088307380001500701 [DOI] [PubMed] [Google Scholar]
- 240. Bundgaard-Nielsen C, Lauritsen MB, Knudsen JK, Rold LS, Larsen MH, Hindersson P, Villadsen AB, Leutscher PDC, Hagstrøm S, Nyegaard M, Sørensen S. 2023. Children and adolescents with attention deficit hyperactivity disorder and autism spectrum disorder share distinct microbiota compositions. Gut Microbes 15:2211923. doi: 10.1080/19490976.2023.2211923 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 241. Dossaji Z, Khattak A, Tun KM, Hsu M, Batra K, Hong AS. 2023. Efficacy of fecal microbiota transplant on behavioral and gastrointestinal symptoms in pediatric autism: a systematic review. Microorganisms 11:806. doi: 10.3390/microorganisms11030806 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 242. Zhang J, Zhu G, Wan L, Liang Y, Liu X, Yan H, Zhang B, Yang G. 2023. Effect of fecal microbiota transplantation in children with autism spectrum disorder: a systematic review. Front Psychiatry 14:1123658. doi: 10.3389/fpsyt.2023.1123658 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 243. Zhu D, Jin X, Guo P, Sun Y, Zhou L, Qing Y, Shen W, Ji G. 2023. Efficacy of faecal microbiota transplantation for the treatment of autism in children meta-analysis of randomised controlled trials. Evid Based Complement Alternat Med 2023:5993628. doi: 10.1155/2023/5993628 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 244. Li N, Chen H, Cheng Y, Xu F, Ruan G, Ying S, Tang W, Chen L, Chen M, Lv L, Ping Y, Chen D, Wei Y. 2021. Fecal microbiota transplantation relieves gastrointestinal and autism symptoms by improving the gut microbiota in an open-label study. Front Cell Infect Microbiol 11:759435. doi: 10.3389/fcimb.2021.759435 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 245. Kang DW, Adams JB, Gregory AC, Borody T, Chittick L, Fasano A, Khoruts A, Geis E, Maldonado J, McDonough-Means S, Pollard EL, Roux S, Sadowsky MJ, Lipson KS, Sullivan MB, Caporaso JG, Krajmalnik-Brown R. 2017. Microbiota transfer therapy alters gut ecosystem and improves gastrointestinal and autism symptoms: an open-label study. Microbiome 5:10. doi: 10.1186/s40168-016-0225-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 246. Pan ZY, Zhong HJ, Huang DN, Wu LH, He XX. 2022. Beneficial effects of repeated washed microbiota transplantation in children with autism. Front Pediatr 10:928785. doi: 10.3389/fped.2022.928785 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 247. Zhang Y, Zhang J, Pan Z, He X. 2022. Effects of washed fecal bacteria transplantation in sleep quality, stool features and autism symptomatology: a Chinese preliminary observational study. Neuropsychiatr Dis Treat 18:1165–1173. doi: 10.2147/NDT.S355233 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 248. Vendrik KEW, Ooijevaar RE, de Jong PRC, Laman JD, van Oosten BW, van Hilten JJ, Ducarmon QR, Keller JJ, Kuijper EJ, Contarino MF. 2020. Fecal microbiota transplantation in neurological disorders. Front Cell Infect Microbiol 10:98. doi: 10.3389/fcimb.2020.00098 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 249. DuPont HL, Suescun J, Jiang ZD, Brown EL, Essigmann HT, Alexander AS, DuPont AW, Iqbal T, Utay NS, Newmark M, Schiess MC. 2023. Fecal microbiota transplantation in Parkinson's disease-a randomized repeat-dose, placebo-controlled clinical pilot study. Front Neurol 14:1104759. doi: 10.3389/fneur.2023.1104759 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 250. Segal A, Zlotnik Y, Moyal-Atias K, Abuhasira R, Ifergane G. 2021. Fecal microbiota transplant as a potential treatment for Parkinson's disease – a case series. Clin Neurol Neurosurg 207:106791. doi: 10.1016/j.clineuro.2021.106791 [DOI] [PubMed] [Google Scholar]
- 251. Wang F, Gu Y, Xu C, Du K, Zhao C, Zhao Y, Liu X. 2022. Transplantation of fecal microbiota from APP/PS1 mice and Alzheimer's disease patients enhanced endoplasmic reticulum stress in the cerebral cortex of wild-type mice. Front Aging Neurosci 14:858130. doi: 10.3389/fnagi.2022.858130 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 252. Sun J, Xu J, Ling Y, Wang F, Gong T, Yang C, Ye S, Ye K, Wei D, Song Z, Chen D, Liu J. 2019. Fecal microbiota transplantation alleviated Alzheimer's disease-like pathogenesis in APP/PS1 transgenic mice. Transl Psychiatry 9:189. doi: 10.1038/s41398-019-0525-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 253. Kim N, Jeon SH, Ju IG, Gee MS, Do J, Oh MS, Lee JK. 2021. Transplantation of gut microbiota derived from Alzheimer's disease mouse model impairs memory function and neurogenesis in C57BL/6 mice. Brain Behav Immun 98:357–365. doi: 10.1016/j.bbi.2021.09.002 [DOI] [PubMed] [Google Scholar]
- 254. Khoruts A, Sadowsky MJ. 2016. Understanding the mechanisms of faecal microbiota transplantation. Nat Rev Gastroenterol Hepatol 13:508–516. doi: 10.1038/nrgastro.2016.98 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 255. Baktash A, Terveer EM, Zwittink RD, Hornung BVH, Corver J, Kuijper EJ, Smits WK. 2018. Mechanistic insights in the success of fecal microbiota transplants for the treatment of Clostridium difficile infections. Front Microbiol 9:1242. doi: 10.3389/fmicb.2018.01242 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 256. Ghani R, Mullish BH, Roberts LA, Davies FJ, Marchesi JR. 2022. The potential utility of fecal (or intestinal) microbiota transplantation in controlling infectious diseases. Gut Microbes 14:2038856. doi: 10.1080/19490976.2022.2038856 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 257. Paramsothy S, Nielsen S, Kamm MA, Deshpande NP, Faith JJ, Clemente JC, Paramsothy R, Walsh AJ, van den Bogaerde J, Samuel D, Leong RWL, Connor S, Ng W, Lin E, Borody TJ, Wilkins MR, Colombel J-F, Mitchell HM, Kaakoush NO. 2019. Specific bacteria and metabolites associated with response to fecal microbiota transplantation in patients with ulcerative colitis. Gastroenterology 156:1440–1454. doi: 10.1053/j.gastro.2018.12.001 [DOI] [PubMed] [Google Scholar]
- 258. Schmidt TSB, Li SS, Maistrenko OM, Akanni W, Coelho LP, Dolai S, Fullam A, Glazek AM, Hercog R, Herrema H, Jung F, Kandels S, Orakov A, Thielemann R, von Stetten M, Van Rossum T, Benes V, Borody TJ, de Vos WM, Ponsioen CY, Nieuwdorp M, Bork P. 2022. Drivers and determinants of strain dynamics following fecal microbiota transplantation. Nat Med 28:1902–1912. doi: 10.1038/s41591-022-01913-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 259. Dsouza M, Menon R, Crossette E, Bhattarai SK, Schneider J, Kim YG, Reddy S, Caballero S, Felix C, Cornacchione L, et al. 2022. Colonization of the live biotherapeutic product VE303 and modulation of the microbiota and metabolites in healthy volunteers. Cell Host Microbe 30:583–598. doi: 10.1016/j.chom.2022.03.016 [DOI] [PubMed] [Google Scholar]
- 260. Martínez I, Maldonado-Gomez MX, Gomes-Neto JC, Kittana H, Ding H, Schmaltz R, Joglekar P, Cardona RJ, Marsteller NL, Kembel SW, Benson AK, Peterson DA, Ramer-Tait AE, Walter J. 2018. Experimental evaluation of the importance of colonization history in early-life gut microbiota assembly. eLife 7. doi: 10.7554/eLife.36521 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 261. Watson AR, Füssel J, Veseli I, DeLongchamp JZ, Silva M, Trigodet F, Lolans K, Shaiber A, Fogarty E, Runde JM, Quince C, Yu MK, Söylev A, Morrison HG, Lee STM, Kao D, Rubin DT, Jabri B, Louie T, Eren AM. 2023. Metabolic independence drives gut microbial colonization and resilience in health and disease. Genome Biol 24:78. doi: 10.1186/s13059-023-02924-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 262. Lim ES, Zhou Y, Zhao G, Bauer IK, Droit L, Ndao IM, Warner BB, Tarr PI, Wang D, Holtz LR. 2015. Early life dynamics of the human gut virome and bacterial microbiome in infants. Nat Med 21:1228–1234. doi: 10.1038/nm.3950 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 263. Guerin E, Hill C. 2020. Shining light on human gut bacteriophages. Front Cell Infect Microbiol 10:481. doi: 10.3389/fcimb.2020.00481 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 264. Ott SJ, Waetzig GH, Rehman A, Moltzau-Anderson J, Bharti R, Grasis JA, Cassidy L, Tholey A, Fickenscher H, Seegert D, Rosenstiel P, Schreiber S. 2017. Efficacy of sterile fecal filtrate transfer for treating patients with Clostridium difficile infection. Gastroenterology 152:799–811. doi: 10.1053/j.gastro.2016.11.010 [DOI] [PubMed] [Google Scholar]
- 265. Conceição-Neto N, Deboutte W, Dierckx T, Machiels K, Wang J, Yinda KC, Maes P, Van Ranst M, Joossens M, Raes J, Vermeire S, Matthijnssens J. 2018. Low eukaryotic viral richness is associated with faecal microbiota transplantation success in patients with UC. Gut 67:1558–1559. doi: 10.1136/gutjnl-2017-315281 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 266. Nusbaum DJ, Sun F, Ren J, Zhu Z, Ramsy N, Pervolarakis N, Kunde S, England W, Gao B, Fiehn O, Michail S, Whiteson K. 2018. Gut microbial and metabolomic profiles after fecal microbiota transplantation in pediatric ulcerative colitis patients. FEMS Microbiol Ecol 94:fiy133. doi: 10.1093/femsec/fiy133 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 267. Wortelboer K, de Jonge PA, Scheithauer TPM, Attaye I, Kemper EM, Nieuwdorp M, Herrema H. 2023. Phage-microbe dynamics after sterile faecal filtrate transplantation in individuals with metabolic syndrome: a double-blind, randomised, placebo-controlled clinical trial assessing efficacy and safety. Nat Commun 14:5600. doi: 10.1038/s41467-023-41329-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 268. Rasmussen TS, Mentzel CMJ, Kot W, Castro-Mejía JL, Zuffa S, Swann JR, Hansen LH, Vogensen FK, Hansen AK, Nielsen DS. 2020. Faecal virome transplantation decreases symptoms of type 2 diabetes and obesity in a murine model. Gut 69:2122–2130. doi: 10.1136/gutjnl-2019-320005 [DOI] [PubMed] [Google Scholar]
- 269. Draper LA, Ryan FJ, Dalmasso M, Casey PG, McCann A, Velayudhan V, Ross RP, Hill C. 2020. Autochthonous faecal viral transfer (FVT) impacts the murine microbiome after antibiotic perturbation. BMC Biol 18:173. doi: 10.1186/s12915-020-00906-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 270. Brunse A, Deng L, Pan X, Hui Y, Castro-Mejía JL, Kot W, Nguyen DN, Secher JB-M, Nielsen DS, Thymann T. 2022. Fecal filtrate transplantation protects against necrotizing enterocolitis. Isme J 16:686–694. doi: 10.1038/s41396-021-01107-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 271. Raeisi H, Noori M, Azimirad M, Mohebbi SR, Asadzadeh Aghdaei H, Yadegar A, Zali MR. 2023. Emerging applications of phage therapy and fecal virome transplantation for treatment of Clostridioides difficile infection: challenges and perspectives. Gut Pathog 15:21. doi: 10.1186/s13099-023-00550-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 272. Lam S, Bai X, Shkoporov AN, Park H, Wu X, Lan P, Zuo T. 2022. Roles of the gut virome and mycobiome in faecal microbiota transplantation. Lancet Gastroenterol Hepatol 7:472–484. doi: 10.1016/S2468-1253(21)00303-4 [DOI] [PubMed] [Google Scholar]
- 273. Allegretti JR, Kearney S, Li N, Bogart E, Bullock K, Gerber GK, Bry L, Clish CB, Alm E, Korzenik JR. 2016. Recurrent Clostridium difficile infection associates with distinct bile acid and microbiome profiles. Aliment Pharmacol Ther 43:1142–1153. doi: 10.1111/apt.13616 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 274. McDonald JAK, Mullish BH, Pechlivanis A, Liu Z, Brignardello J, Kao D, Holmes E, Li JV, Clarke TB, Thursz MR, Marchesi JR. 2018. Inhibiting growth of Clostridioides difficile by restoring valerate, produced by the intestinal microbiota. Gastroenterology 155:1495–1507. doi: 10.1053/j.gastro.2018.07.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 275. Mullish BH, McDonald JAK, Pechlivanis A, Allegretti JR, Kao D, Barker GF, Kapila D, Petrof EO, Joyce SA, Gahan CGM, Glegola-Madejska I, Williams HRT, Holmes E, Clarke TB, Thursz MR, Marchesi JR. 2019. Microbial bile salt hydrolases mediate the efficacy of faecal microbiota transplant in the treatment of recurrent Clostridioides difficile infection. Gut 68:1791–1800. doi: 10.1136/gutjnl-2018-317842 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 276. Khalessi Hosseini PS, Wang B, Luan Y, Sun F, Michail S. 2023. Gut metabolomic profiles in paediatric ulcerative colitis patients prior to and after receiving faecal microbiota transplants. Gut Microb 4:e19. doi: 10.1017/gmb.2023.15 [DOI] [Google Scholar]
- 277. Vaughn BP, Vatanen T, Allegretti JR, Bai A, Xavier RJ, Korzenik J, Gevers D, Ting A, Robson SC, Moss AC. 2016. Increased intestinal microbial diversity following fecal microbiota transplant for active Crohn’s disease. Inflamm Bowel Dis 22:2182–2190. doi: 10.1097/MIB.0000000000000893 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 278. Wu X, Li P, Wang W, Xu J, Ai R, Wen Q, Cui B, Zhang F. 2023. The underlying changes in serum metabolic profiles and efficacy prediction in patients with extensive ulcerative colitis undergoing fecal microbiota transplantation. Nutrients 15:3340. doi: 10.3390/nu15153340 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 279. Burrello C, Giuffrè MR, Macandog AD, Diaz-Basabe A, Cribiù FM, Lopez G, Borgo F, Nezi L, Caprioli F, Vecchi M, Facciotti F. 2019. Fecal microbiota transplantation controls murine chronic intestinal inflammation by modulating immune cell functions and gut microbiota composition. Cells 8:517. doi: 10.3390/cells8060517 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 280. Wei YL, Chen YQ, Gong H, Li N, Wu KQ, Hu W, Wang B, Liu KJ, Wen LZ, Xiao X, Chen DF. 2018. Fecal microbiota transplantation ameliorates experimentally induced colitis in mice by upregulating AhR. Front Microbiol 9:1921. doi: 10.3389/fmicb.2018.01921 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 281. Smith PM, Howitt MR, Panikov N, Michaud M, Gallini CA, Bohlooly-Y M, Glickman JN, Garrett WS. 2013. The microbial metabolites, short-chain fatty acids, regulate colonic Treg cell homeostasis. Science 341:569–573. doi: 10.1126/science.1241165 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 282. Quraishi MN, Shaheen W, Oo YH, Iqbal TH. 2020. Immunological mechanisms underpinning faecal microbiota transplantation for the treatment of inflammatory bowel disease. Clin Exp Immunol 199:24–38. doi: 10.1111/cei.13397 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 283. US Food and Drug Administration . 2020. Safety alert regarding use of fecal microbiota transplantation and risk of serious adverse events likely due to transmission of pathogenic organisms. Available from: https://www.fda.gov/vaccines-blood-biologics/safety-availability-biologics/safety-alert-regarding-use-fecal-microbiota-transplantation-and-risk-serious-adverse-events-likely. Retrieved 22 Jun 2023.
- 284. Barnes D, Ng K, Smits S, Sonnenburg J, Kassam Z, Park KT. 2018. Competitively selected donor fecal microbiota transplantation: butyrate concentration and diversity as measures of donor quality. J Pediatr Gastroenterol Nutr 67:185–187. doi: 10.1097/MPG.0000000000001940 [DOI] [PubMed] [Google Scholar]
- 285. Australian Regulatory Guidelines for Biologicals . 2020. ARGB appendix 10 - guidance on TGO 105: standards for faecal microbiota transplant (FMT) products for biologicals (ARGB). Available from: https://www.tga.gov.au/sites/default/files/argb-appendix-10-guidance-tgo-105-standards-faecal-microbiota-transplant-fmt-products.pdf. Retrieved 22 Jun 2023.
- 286. Cammarota G, Ianiro G, Tilg H, Rajilić-Stojanović M, Kump P, Satokari R, Sokol H, Arkkila P, Pintus C, Hart A, et al. 2017. European consensus conference on faecal microbiota transplantation in clinical practice. Gut 66:569–580. doi: 10.1136/gutjnl-2016-313017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 287. Terveer EM, van Beurden YH, Goorhuis A, Seegers JFML, Bauer MP, van Nood E, Dijkgraaf MGW, Mulder CJJ, Vandenbroucke-Grauls CMJE, Verspaget HW, Keller JJ, Kuijper EJ. 2017. How to: establish and run a stool bank. Clin Microbiol Infect 23:924–930. doi: 10.1016/j.cmi.2017.05.015 [DOI] [PubMed] [Google Scholar]
- 288. Sohail MR, Fischer PR. 2005. Blastocystis hominis and travelers. Travel Med Infect Dis 3:33–38. doi: 10.1016/j.tmaid.2004.06.001 [DOI] [PubMed] [Google Scholar]
- 289. Terveer EM, van Gool T, Ooijevaar RE, Sanders IMJG, Boeije-Koppenol E, Keller JJ, Bart A, Kuijper EJ, Netherlands Donor Feces Bank (NDFB) Study Group . 2020. Human transmission of blastocystis by fecal microbiota transplantation without development of gastrointestinal symptoms in recipients. Clin Infect Dis 71:2630–2636. doi: 10.1093/cid/ciz1122 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 290. Tito RY, Chaffron S, Caenepeel C, Lima-Mendez G, Wang J, Vieira-Silva S, Falony G, Hildebrand F, Darzi Y, Rymenans L, Verspecht C, Bork P, Vermeire S, Joossens M, Raes J. 2019. Population-level analysis of Blastocystis subtype prevalence and variation in the human gut microbiota. Gut 68:1180–1189. doi: 10.1136/gutjnl-2018-316106 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 291. Terveer EM, Vendrik KE, Ooijevaar RE, Lingen E van, Boeije-Koppenol E, Nood E van, Goorhuis A, Bauer MP, van Beurden YH, Dijkgraaf MG, Mulder CJ, Vandenbroucke-Grauls CM, Seegers JF, van Prehn J, Verspaget HW, Kuijper EJ, Keller JJ. 2020. Faecal microbiota transplantation for Clostridioides difficile infection: four years' experience of the Netherlands donor feces Bank. United European Gastroenterol J 8:1236–1247. doi: 10.1177/2050640620957765 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 292. Grosen AK, Mikkelsen S, Baunwall SMD, Dahlerup JF, Erikstrup LT, Hvas CL, Erikstrup C. 2023. Risk of Helicobacter pylori transmission by faecal microbiota transplantation via oral capsules. Clin Microbiol Infect 29:799. doi: 10.1016/j.cmi.2023.02.011 [DOI] [PubMed] [Google Scholar]
- 293. Galpérine T, Engelmann I, Hantz S, Postil D, Dewilde A, Deplanque D, Martin R, Labreuche J, Lazrek M, Somers S, Ribot E, Alain S. 2023. Cytomegalovirus in donors for fecal microbiota transplantation, the phantom menace? PLoS One 18:e0287847. doi: 10.1371/journal.pone.0287847 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 294. Hohmann EL, Ananthakrishnan AN, Deshpande V. 2014. Case records of the Massachusetts general hospital. Case 25-2014. A 37-year-old man with ulcerative colitis and bloody diarrhea. N Engl J Med 371:668–675. doi: 10.1056/NEJMcpc1400842 [DOI] [PubMed] [Google Scholar]
- 295. Cevik M, Tate M, Lloyd O, Maraolo AE, Schafers J, Ho A. 2021. SARS-CoV-2, SARS-CoV, and MERS-CoV viral load dynamics, duration of viral shedding, and infectiousness: a systematic review and meta-analysis. Lancet Microbe 2:e13–e22. doi: 10.1016/S2666-5247(20)30172-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 296. Guo M, Tao W, Flavell RA, Zhu S. 2021. Potential intestinal infection and faecal-oral transmission of SARS-CoV-2. Nat Rev Gastroenterol Hepatol 18:269–283. doi: 10.1038/s41575-021-00416-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 297. Xiao F, Sun J, Xu Y, Li F, Huang X, Li H, Zhao J, Huang J, Zhao J. 2020. Infectious SARS-CoV-2 in feces of patient with severe COVID-19. Emerg Infect Dis 26:1920–1922. doi: 10.3201/eid2608.200681 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 298. Wang W, Xu Y, Gao R, Lu R, Han K, Wu G, Tan W. 2020. Detection of SARS-CoV-2 in different types of clinical specimens. JAMA 323:1843–1844. doi: 10.1001/jama.2020.3786 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 299. US Food and Drug Administration . Safety alert regarding use of fecal microbiota for transplantation and additional safety protections pertaining to SARS-CoV-2 and COVID-19. Available from: https://www.fda.gov/vaccines-blood-biologics/safety-availability-biologics/safety-alert-regarding-use-fecal-microbiota-transplantation-and-additional-safety-protections#:~:text=Additional%20Protections%20for%20the%20Use,under%20FDA's%20enforcement%20discretion%20policy. Retrieved 22 Jun 2023.
- 300. US Food and Drug Administration . Safety alert regarding use of fecal microbiota for transplantation and additional safety protections pertaining to monkeypox virus. Available from: https://www.fda.gov/vaccines-blood-biologics/safety-availability-biologics/safety-alert-regarding-use-fecal-microbiota-transplantation-and-additional-safety-protections-0. Retrieved 22 Jun 2023.
- 301. Ianiro G, Mullish BH, Iqbal TH, Terveer EM, Baunwall SMD, Link A, Sokol H, Kupcinskas J, Masucci L, Sanguinetti M, Vehreschild MJGT, Hvas CL, Keller JJ, Gasbarrini A, Kujiper EJ, Cammarota G. 2022. Minimising the risk of monkeypox virus transmission during faecal microbiota transplantation: recommendations from a European expert panel. Lancet Gastroenterol Hepatol 7:979–980. doi: 10.1016/S2468-1253(22)00305-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 302. Haifer C, Kelly CR, Paramsothy S, Andresen D, Papanicolas LE, McKew GL, Borody TJ, Kamm M, Costello SP, Andrews JM, Begun J, Chan HT, Connor S, Ghaly S, Johnson PD, Lemberg DA, Paramsothy R, Redmond A, Sheorey H, van der Poorten D, Leong RW. 2020. Australian consensus statements for the regulation, production and use of faecal microbiota transplantation in clinical practice. Gut 69:801–810. doi: 10.1136/gutjnl-2019-320260 [DOI] [PubMed] [Google Scholar]
- 303. Cammarota G, Ianiro G, Kelly CR, Mullish BH, Allegretti JR, Kassam Z, Putignani L, Fischer M, Keller JJ, Costello SP, et al. 2019. International consensus conference on stool banking for faecal microbiota transplantation in clinical practice. Gut 68:2111–2121. doi: 10.1136/gutjnl-2019-319548 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 304. Chen J, Zaman A, Ramakrishna B, Olesen SW. 2021. Stool banking for fecal microbiota transplantation: methods and operations at a large stool bank. Front Cell Infect Microbiol 11:622949. doi: 10.3389/fcimb.2021.622949 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 305. Hota SS, McNamara I, Jin R, Kissoon M, Singh S, Poutanen SM. 2019. Challenges establishing a multi-purpose fecal microbiota transplantation stool donor program in Toronto, Canada. J Assoc Med Microbiol Infect Dis Can 4:218–226. doi: 10.3138/jammi.2019-0003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 306. Craven LJ, Nair Parvathy S, Tat-Ko J, Burton JP, Silverman MS. 2017. Extended screening costs associated with selecting donors for fecal microbiota transplantation for treatment of metabolic syndrome-associated diseases. Open Forum Infect Dis 4:ofx243. doi: 10.1093/ofid/ofx243 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 307. Vendrik KEW, Terveer EM, Kuijper EJ, Nooij S, Boeije-Koppenol E, Sanders I, van Lingen E, Verspaget HW, Berssenbrugge EKL, Keller JJ, van Prehn J, Netherlands Donor Faeces Bank Study Group . 2021. Periodic screening of donor faeces with a quarantine period to prevent transmission of multidrug-resistant organisms during faecal microbiota transplantation: a retrospective cohort study. Lancet Infect Dis 21:711–721. doi: 10.1016/S1473-3099(20)30473-4 [DOI] [PubMed] [Google Scholar]
- 308. Rode AA, Bytzer P, Pedersen OB, Engberg J. 2019. Establishing a donor stool bank for faecal microbiota transplantation: methods and feasibility. Eur J Clin Microbiol Infect Dis 38:1837–1847. doi: 10.1007/s10096-019-03615-x [DOI] [PubMed] [Google Scholar]
- 309. Youngster I, Russell GH, Pindar C, Ziv-Baran T, Sauk J, Hohmann EL. 2014. Oral, capsulized, frozen fecal microbiota transplantation for relapsing Clostridium difficile infection. JAMA 312:1772–1778. doi: 10.1001/jama.2014.13875 [DOI] [PubMed] [Google Scholar]
- 310. Kelly CR, Yen EF, Grinspan AM, Kahn SA, Atreja A, Lewis JD, Moore TA, Rubin DT, Kim AM, Serra S, et al. 2021. Fecal microbiota transplantation is highly effective in real-world practice initial results from the FMT national registry. Gastroenterology 160:183–192. doi: 10.1053/j.gastro.2020.09.038 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 311. Jørgensen SMD, Erikstrup C, Dinh KM, Lemming LE, Dahlerup JF, Hvas CL. 2018. Recruitment of feces donors among blood donors: results from an observational cohort study. Gut Microbes 9:540–550. doi: 10.1080/19490976.2018.1458179 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 312. Costello SP, Tucker EC, La Brooy J, Schoeman MN, Andrews JM. 2016. Establishing a fecal microbiota transplant service for the treatment of Clostridium difficile infection. Clin Infect Dis 62:908–914. doi: 10.1093/cid/civ994 [DOI] [PubMed] [Google Scholar]
- 313. Kelly CR, Kahn S, Kashyap P, Laine L, Rubin D, Atreja A, Moore T, Wu G. 2015. Update on fecal microbiota transplantation 2015: indications, methodologies, mechanisms, and outlook. Gastroenterology 149:223–237. doi: 10.1053/j.gastro.2015.05.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 314. Koh B, Cheng A, Chaw K, Gosbell IB. 2023. An Australian perspective on monkeypox virus and stool transplants. Lancet Gastroenterol Hepatol 8:114–115. doi: 10.1016/S2468-1253(22)00403-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 315. Aira A, Rubio E, Fehér C, González-Suárez B, Casals-Pascual C, Soriano Á. 2022. Stool donor recruitment - a one-year experience. Enferm Infecc Microbiol Clin (Engl Ed) 40:495–498. doi: 10.1016/j.eimce.2021.01.010 [DOI] [PubMed] [Google Scholar]
- 316. Bénard MV, de Bruijn CMA, Fenneman AC, Wortelboer K, Zeevenhoven J, Rethans B, Herrema HJ, van Gool T, Nieuwdorp M, Benninga MA, Ponsioen CY. 2022. Challenges and costs of donor screening for fecal microbiota transplantations. PLoS One 17:e0276323. doi: 10.1371/journal.pone.0276323 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 317. Ianiro G, Porcari S, Bibbò S, Giambò F, Quaranta G, Masucci L, Sanguinetti M, Gasbarrini A, Cammarota G. 2021. Donor program for fecal microbiota transplantation: a 3-year experience of a large-volume Italian stool bank. Dig Liver Dis 53:1428–1432. doi: 10.1016/j.dld.2021.04.009 [DOI] [PubMed] [Google Scholar]
- 318. Kassam Z, Dubois N, Ramakrishna B, Ling K, Qazi T, Smith M, Kelly CR, Fischer M, Allegretti JR, Budree S, Panchal P, Kelly CP, Osman M. 2019. Donor screening for fecal microbiota transplantation. N Engl J Med 381:2070–2072. doi: 10.1056/NEJMc1913670 [DOI] [PubMed] [Google Scholar]
- 319. Baunwall SMD, Dahlerup JF, Engberg JH, Erikstrup C, Helms M, Juel MA, Kjeldsen J, Nielsen HL, Nilsson AC, Rode AA, Vinter-Jensen L, Hvas CL. 2021. Danish national guideline for the treatment of Clostridioides difficile infection and use of faecal microbiota transplantation (FMT). Scand J Gastroenterol 56:1056–1077. doi: 10.1080/00365521.2021.1922749 [DOI] [PubMed] [Google Scholar]
- 320. Ianiro G, Mullish BH, Kelly CR, Kassam Z, Kuijper EJ, Ng SC, Iqbal TH, Allegretti JR, Bibbò S, Sokol H, Zhang F, Fischer M, Costello SP, Keller JJ, Masucci L, van Prehn J, Quaranta G, Quraishi MN, Segal J, Kao D, Satokari R, Sanguinetti M, Tilg H, Gasbarrini A, Cammarota G. 2020. Reorganisation of faecal microbiota transplant services during the COVID-19 pandemic. Gut 69:1555–1563. doi: 10.1136/gutjnl-2020-321829 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 321. Shimizu H, Arai K, Asahara T, Takahashi T, Tsuji H, Matsumoto S, Takeuchi I, Kyodo R, Yamashiro Y. 2021. Stool preparation under anaerobic conditions contributes to retention of obligate anaerobes: potential improvement for fecal microbiota transplantation. BMC Microbiol 21:275. doi: 10.1186/s12866-021-02325-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 322. Bénard MV, Arretxe I, Wortelboer K, Harmsen HJM, Davids M, de Bruijn CMA, Benninga MA, Hugenholtz F, Herrema H, Ponsioen CY. 2023. Anaerobic feces processing for fecal microbiota transplantation improves viability of obligate anaerobes. Microorganisms 11:2238. doi: 10.3390/microorganisms11092238 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 323. Zain NMM, Ter Linden D, Lilley AK, Royall PG, Tsoka S, Bruce KD, Mason AJ, Hatton GB, Allen E, Goldenberg SD, Forbes B. 2022. Design and manufacture of a lyophilised faecal microbiota capsule formulation to GMP standards. J Control Release 350:324–331. doi: 10.1016/j.jconrel.2022.08.012 [DOI] [PubMed] [Google Scholar]
- 324. Wang S, Xu M, Wang W, Cao X, Piao M, Khan S, Yan F, Cao H, Wang B. 2016. Systematic review: adverse events of fecal microbiota transplantation. PLoS One 11:e0161174. doi: 10.1371/journal.pone.0161174 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 325. Michailidis L, Currier AC, Le M, Flomenhoft DR. 2021. Adverse events of fecal microbiota transplantation: a meta-analysis of high-quality studies. Ann Gastroenterol 34:802–814. doi: 10.20524/aog.2021.0655 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 326. Marcella C, Cui B, Kelly CR, Ianiro G, Cammarota G, Zhang F. 2021. Systematic review: the global incidence of faecal microbiota transplantation-related adverse events from 2000 to 2020. Aliment Pharmacol Ther 53:33–42. doi: 10.1111/apt.16148 [DOI] [PubMed] [Google Scholar]
- 327. Rapoport EA, Baig M, Puli SR. 2022. Adverse events in fecal microbiota transplantation: a systematic review and meta-analysis. Ann Gastroenterol 35:150–163. doi: 10.20524/aog.2022.0695 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 328. Fischer M, Kao D, Kassam Z, Smith J, Louie T, Sipe B, Torbeck M, Xu H, Ouyang F, Mozaffarian D, Allegretti JR. 2018. Stool donor body mass index does not affect recipient weight after a single fecal microbiota transplantation for Clostridium difficile infection. Clin Gastroenterol Hepatol 16:1351–1353. doi: 10.1016/j.cgh.2017.12.007 [DOI] [PubMed] [Google Scholar]
- 329. Sandhu A, Chopra T. 2021. Fecal microbiota transplantation for recurrent Clostridioides difficile, safety, and pitfalls. Therap Adv Gastroenterol 14:17562848211053105. doi: 10.1177/17562848211053105 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 330. Perler BK, Chen B, Phelps E, Allegretti JR, Fischer M, Ganapini V, Krajiceck E, Kumar V, Marcus J, Nativ L, Kelly CR. 2020. Long-term efficacy and safety of fecal microbiota transplantation for treatment of recurrent Clostridioides difficile infection. J Clin Gastroenterol 54:701–706. doi: 10.1097/MCG.0000000000001281 [DOI] [PubMed] [Google Scholar]
- 331. Ooijevaar RE, van Nood E, Goorhuis A, Terveer EM, van Prehn J, Verspaget HW, van Beurden YH, Dijkgraaf MGW, Keller JJ. 2021. Ten-year follow-up of patients treated with fecal microbiota transplantation for recurrent Clostridioides difficile infection from a randomized controlled trial and review of the literature. Microorganisms 9:548. doi: 10.3390/microorganisms9030548 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 332. Cold F, Svensson CK, Petersen AM, Hansen LH, Helms M. 2022. Long-term safety following faecal microbiota transplantation as a treatment for recurrent Clostridioides difficile infection compared with patients treated with a fixed bacterial mixture: results from a retrospective cohort study. Cells 11:435. doi: 10.3390/cells11030435 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 333. Drewes JL, Corona A, Sanchez U, Fan Y, Hourigan SK, Weidner M, Sidhu SD, Simner PJ, Wang H, Timp W, Oliva-Hemker M, Sears CL. 2019. Transmission and clearance of potential procarcinogenic bacteria during fecal microbiota transplantation for recurrent Clostridioides difficile. JCI Insight 4:e130848. doi: 10.1172/jci.insight.130848 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 334. Nooij S, Ducarmon QR, Laros JFJ, Zwittink RD, Norman JM, Smits WK, Verspaget HW, Keller JJ, Terveer EM, Kuijper EJ, Working Group of the Netherlands Donor Feces Bank . 2021. Fecal microbiota transplantation influences procarcinogenic Escherichia coli in recipient recurrent Clostridioides difficile patients. Gastroenterology 161:1218–1228. doi: 10.1053/j.gastro.2021.06.009 [DOI] [PubMed] [Google Scholar]
- 335. Tun KM, Hsu M, Batra K, Lo CH, Laeeq T, Vongsavath T, Mohammed S, Hong AS. 2022. Efficacy and safety of fecal microbiota transplantation in treatment of Clostridioides difficile infection among pediatric patients: a systematic review and meta-analysis. Microorganisms 10:2450. doi: 10.3390/microorganisms10122450 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 336. Cheng Y-W, Alhaffar D, Saha S, Khanna S, Bohm M, Phelps E, Ghabril M, Orman E, Sashidhar S, Rogers N, et al. 2021. Fecal microbiota transplantation is safe and effective in patients with Clostridioides difficile infection and cirrhosis. Clin Gastroenterol Hepatol 19:1627–1634. doi: 10.1016/j.cgh.2020.06.051 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 337. Suchman K, Luo Y, Grinspan A. 2022. Fecal microbiota transplant for Clostridioides difficile infection is safe and efficacious in an immunocompromised cohort. Dig Dis Sci 67:4866–4873. doi: 10.1007/s10620-021-07347-x [DOI] [PubMed] [Google Scholar]
- 338. Krutova M, de Meij TGJ, Fitzpatrick F, Drew RJ, Wilcox MH, Kuijper EJ. 2022. How to: Clostridioides difficile infection in children. Clin Microbiol Infect 28:1085–1090. doi: 10.1016/j.cmi.2022.03.001 [DOI] [PubMed] [Google Scholar]
- 339. Oliva-Hemker M, Kahn SA, Steinbach WJ, Cohen MB, Brumbaugh D, Cole C, Dotson JL, Harpavat S, Lightdale JR, Mallon D. 2023. Fecal microbiota transplantation: information for the pediatrician. Pediatrics 152:e2023062922. doi: 10.1542/peds.2023-062922 [DOI] [PubMed] [Google Scholar]
- 340. Nicholson MR, Alexander E, Ballal S, Davidovics Z, Docktor M, Dole M, Gisser JM, Goyal A, Hourigan SK, Jensen MK, et al. 2022. Efficacy and outcomes of fecal microbiota transplantation for recurrent Clostridioides difficile infection in children with inflammatory bowel disease. J Crohns Colitis 16:768–777. doi: 10.1093/ecco-jcc/jjab202 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 341. Nicholson MR, Mitchell PD, Alexander E, Ballal S, Bartlett M, Becker P, Davidovics Z, Docktor M, Dole M, Felix G, et al. 2020. Efficacy of fecal microbiota transplantation for Clostridium difficile infection in children. Clin Gastroenterol Hepatol 18:612–619. doi: 10.1016/j.cgh.2019.04.037 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 342. Kellermayer R, Wu Q, Nagy-Szakal D, Queliza K, Ihekweazu FD, Bocchini CE, Magee AR, Oezguen N, Spinler JK, Hollister EB, Shulman RJ, Versalovic J, Luna RA, Savidge TC. 2022. Fecal microbiota transplantation commonly failed in children with co-morbidities. J Pediatr Gastroenterol Nutr 74:227–235. doi: 10.1097/MPG.0000000000003336 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 343. Zhang XY, Wang YZ, Li XL, Hu H, Liu HF, Li D, Xiao YM, Zhang T. 2018. Safety of fecal microbiota transplantation in Chinese children: a single-center retrospective study. World J Clin Cases 6:1121–1127. doi: 10.12998/wjcc.v6.i16.1121 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 344. Zou B, Liu SX, Li XS, He JY, Dong C, Ruan ML, Xu L, Bai T, Huang ZH, Shu SN. 2022. Long-term safety and efficacy of fecal microbiota transplantation in 74 children: a single-center retrospective study. Front Pediatr 10:964154. doi: 10.3389/fped.2022.964154 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 345. Nicholson MR, Alexander E, Ballal S, Davidovics Z, Docktor M, Dole M, Gisser JM, Goyal A, Hourigan SK, Jensen MK, et al. 2022. Efficacy and outcomes of faecal microbiota transplantation for recurrent Clostridioides difficile infection in children with inflammatory bowel disease. J Crohns Colitis 16:768–777. doi: 10.1093/ecco-jcc/jjab202 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 346. Schloss PD, Westcott SL, Ryabin T, Hall JR, Hartmann M, Hollister EB, Lesniewski RA, Oakley BB, Parks DH, Robinson CJ, Sahl JW, Stres B, Thallinger GG, Van Horn DJ, Weber CF. 2009. Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol 75:7537–7541. doi: 10.1128/AEM.01541-09 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 347. Bolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, Al-Ghalith GA, Alexander H, Alm EJ, Arumugam M, Asnicar F, et al. 2019. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat Biotechnol 37:852–857. doi: 10.1038/s41587-019-0209-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 348. Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, Peplies J, Glöckner FO. 2013. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res 41:D590–6. doi: 10.1093/nar/gks1219 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 349. DeSantis TZ, Hugenholtz P, Larsen N, Rojas M, Brodie EL, Keller K, Huber T, Dalevi D, Hu P, Andersen GL. 2006. Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB. Appl Environ Microbiol 72:5069–5072. doi: 10.1128/AEM.03006-05 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 350. Sayers EW, Bolton EE, Brister JR, Canese K, Chan J, Comeau DC, Connor R, Funk K, Kelly C, Kim S, Madej T, Marchler-Bauer A, Lanczycki C, Lathrop S, Lu Z, Thibaud-Nissen F, Murphy T, Phan L, Skripchenko Y, Tse T, Wang J, Williams R, Trawick BW, Pruitt KD, Sherry ST. 2022. Database resources of the national center for biotechnology information. Nucleic Acids Res 50:D20–D26. doi: 10.1093/nar/gkab1112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 351. Yuan S, Cohen DB, Ravel J, Abdo Z, Forney LJ. 2012. Evaluation of methods for the extraction and purification of DNA from the human microbiome. PLoS One 7:e33865. doi: 10.1371/journal.pone.0033865 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 352. Zhang B, Brock M, Arana C, Dende C, van Oers NS, Hooper LV, Raj P. 2021. Impact of bead-beating intensity on the genus- and species-level characterization of the gut microbiome using amplicon and complete 16S rRNA gene sequencing. Front Cell Infect Microbiol 11:678522. doi: 10.3389/fcimb.2021.678522 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 353. Knights D, Kuczynski J, Charlson ES, Zaneveld J, Mozer MC, Collman RG, Bushman FD, Knight R, Kelley ST. 2011. Bayesian community-wide culture-independent microbial source tracking. Nat Methods 8:761–763. doi: 10.1038/nmeth.1650 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 354. Davis NM, Proctor DM, Holmes SP, Relman DA, Callahan BJ. 2018. Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data. Microbiome 6:226. doi: 10.1186/s40168-018-0605-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 355. Karstens L, Asquith M, Davin S, Fair D, Gregory WT, Wolfe AJ, Braun J, McWeeney S. 2019. Controlling for contaminants in low-biomass 16S rRNA gene sequencing experiments. mSystems 4. doi: 10.1128/mSystems.00290-19 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 356. Abellan-Schneyder I, Matchado MS, Reitmeier S, Sommer A, Sewald Z, Baumbach J, List M, Neuhaus K. 2021. Primer, pipelines, parameters: issues in 16S rRNA gene sequencing. mSphere 6:e01202-20. doi: 10.1128/mSphere.01202-20 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 357. Wayne P. 2018. Clinical and laboratory standards Institute: performance standards for antimicrobial susceptibility testing: informational supplement, M100. Clinical and Laboratory Standards Institute (CLSI). [Google Scholar]
- 358. Goodwin S, McPherson JD, McCombie WR. 2016. Coming of age: ten years of next-generation sequencing technologies. Nat Rev Genet 17:333–351. doi: 10.1038/nrg.2016.49 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 359. Wang Y, Zhao Y, Bollas A, Wang Y, Au KF. 2021. Nanopore sequencing technology, bioinformatics and applications. Nat Biotechnol 39:1348–1365. doi: 10.1038/s41587-021-01108-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 360. Hassler HB, Probert B, Moore C, Lawson E, Jackson RW, Russell BT, Richards VP. 2022. Phylogenies of the 16S rRNA gene and its hypervariable regions lack concordance with core genome phylogenies. Microbiome 10:104. doi: 10.1186/s40168-022-01295-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 361. Singer E, Bushnell B, Coleman-Derr D, Bowman B, Bowers RM, Levy A, Gies EA, Cheng JF, Copeland A, Klenk HP, Hallam SJ, Hugenholtz P, Tringe SG, Woyke T. 2016. High-resolution phylogenetic microbial community profiling. Isme J 10:2020–2032. doi: 10.1038/ismej.2015.249 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 362. Asnicar F, Thomas AM, Beghini F, Mengoni C, Manara S, Manghi P, Zhu Q, Bolzan M, Cumbo F, May U, Sanders JG, Zolfo M, Kopylova E, Pasolli E, Knight R, Mirarab S, Huttenhower C, Segata N. 2020. Precise phylogenetic analysis of microbial isolates and genomes from metagenomes using PhyloPhlAn 3.0. Nat Commun 11:2500. doi: 10.1038/s41467-020-16366-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 363. Menzel P, Ng KL, Krogh A. 2016. Fast and sensitive taxonomic classification for metagenomics with Kaiju. Nat Commun 7:11257. doi: 10.1038/ncomms11257 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 364. Wood DE, Salzberg SL. 2014. Kraken: ultrafast metagenomic sequence classification using exact alignments. Genome Biol 15:R46. doi: 10.1186/gb-2014-15-3-r46 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 365. Truong DT, Franzosa EA, Tickle TL, Scholz M, Weingart G, Pasolli E, Tett A, Huttenhower C, Segata N. 2015. MetaPhlAn2 for enhanced metagenomic taxonomic profiling. Nat Methods 12:902–903. doi: 10.1038/nmeth.3589 [DOI] [PubMed] [Google Scholar]
- 366. Smillie CS, Sauk J, Gevers D, Friedman J, Sung J, Youngster I, Hohmann EL, Staley C, Khoruts A, Sadowsky MJ, Allegretti JR, Smith MB, Xavier RJ, Alm EJ. 2018. Strain tracking reveals the determinants of bacterial engraftment in the human gut following fecal microbiota transplantation. Cell Host Microbe 23:229–240. doi: 10.1016/j.chom.2018.01.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 367. Burkert A, Douglas TA, Waldrop MP, Mackelprang R. 2019. Changes in the active, dead, and dormant microbial community structure across a pleistocene permafrost chronosequence. Appl Environ Microbiol 85:e02646-18. doi: 10.1128/AEM.02646-18 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 368. Langmead B, Salzberg SL. 2012. Fast gapped-read alignment with Bowtie 2. Nat Methods 9:357–359. doi: 10.1038/nmeth.1923 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 369. Li H, Durbin R. 2009. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 25:1754–1760. doi: 10.1093/bioinformatics/btp324 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 370. Smith RH, Glendinning L, Walker AW, Watson M. 2022. Investigating the impact of database choice on the accuracy of metagenomic read classification for the rumen microbiome. Anim Microbiome 4:57. doi: 10.1186/s42523-022-00207-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 371. Aguiar-Pulido V, Huang W, Suarez-Ulloa V, Cickovski T, Mathee K, Narasimhan G. 2016. Metagenomics, metatranscriptomics, and metabolomics approaches for microbiome analysis. Evol Bioinform Online 12:5–16. doi: 10.4137/EBO.S36436 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 372. Ugarte A, Vicedomini R, Bernardes J, Carbone A. 2018. A multi-source domain annotation pipeline for quantitative metagenomic and metatranscriptomic functional profiling. Microbiome 6:149. doi: 10.1186/s40168-018-0532-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 373. Meinicke P. 2015. UProC: tools for ultra-fast protein domain classification. Bioinformatics 31:1382–1388. doi: 10.1093/bioinformatics/btu843 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 374. Seemann T. 2014. Prokka: rapid prokaryotic genome annotation. Bioinformatics 30:2068–2069. doi: 10.1093/bioinformatics/btu153 [DOI] [PubMed] [Google Scholar]
- 375. Keegan KP, Glass EM, Meyer F. 2016. MG-RAST, a metagenomics service for analysis of microbial community structure and function. Methods Mol Biol 1399:207–233. doi: 10.1007/978-1-4939-3369-3_13 [DOI] [PubMed] [Google Scholar]
- 376. Robinson MD, McCarthy DJ, Smyth GK. 2010. edgeR: a bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26:139–140. doi: 10.1093/bioinformatics/btp616 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 377. Love MI, Huber W, Anders S. 2014. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol 15:550. doi: 10.1186/s13059-014-0550-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 378. Abu-Ali GS, Mehta RS, Lloyd-Price J, Mallick H, Branck T, Ivey KL, Drew DA, DuLong C, Rimm E, Izard J, Chan AT, Huttenhower C. 2018. Metatranscriptome of human faecal microbial communities in a cohort of adult men. Nat Microbiol 3:356–366. doi: 10.1038/s41564-017-0084-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 379. Ridaura VK, Faith JJ, Rey FE, Cheng J, Duncan AE, Kau AL, Griffin NW, Lombard V, Henrissat B, Bain JR, Muehlbauer MJ, Ilkayeva O, Semenkovich CF, Funai K, Hayashi DK, Lyle BJ, Martini MC, Ursell LK, Clemente JC, Van Treuren W, Walters WA, Knight R, Newgard CB, Heath AC, Gordon JI. 2013. Gut microbiota from twins discordant for obesity modulate metabolism in mice. Science 341:1241214. doi: 10.1126/science.1241214 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 380. Franzosa EA, Morgan XC, Segata N, Waldron L, Reyes J, Earl AM, Giannoukos G, Boylan MR, Ciulla D, Gevers D, Izard J, Garrett WS, Chan AT, Huttenhower C. 2014. Relating the metatranscriptome and metagenome of the human gut. Proc Natl Acad Sci U S A 111:E2329–38. doi: 10.1073/pnas.1319284111 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 381. Franzosa EA, Hsu T, Sirota-Madi A, Shafquat A, Abu-Ali G, Morgan XC, Huttenhower C. 2015. Sequencing and beyond: integrating molecular 'omics' for microbial community profiling. Nat Rev Microbiol 13:360–372. doi: 10.1038/nrmicro3451 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 382. Tyanova S, Temu T, Cox J. 2016. The MaxQuant computational platform for mass spectrometry-based shotgun proteomics. Nat Protoc 11:2301–2319. doi: 10.1038/nprot.2016.136 [DOI] [PubMed] [Google Scholar]
- 383. Muth T, Behne A, Heyer R, Kohrs F, Benndorf D, Hoffmann M, Lehtevä M, Reichl U, Martens L, Rapp E. 2015. The MetaProteomeAnalyzer: a powerful open-source software suite for metaproteomics data analysis and interpretation. J Proteome Res 14:1557–1565. doi: 10.1021/pr501246w [DOI] [PubMed] [Google Scholar]
- 384. Ogbeide S, Giannese F, Mincarelli L, Macaulay IC. 2022. Into the multiverse: advances in single-cell multiomic profiling. Trends Genet 38:831–843. doi: 10.1016/j.tig.2022.03.015 [DOI] [PubMed] [Google Scholar]
- 385. Matthews H, Hanison J, Nirmalan N. 2016. “Omics”-informed drug and biomarker discovery: opportunities, challenges and future perspectives. Proteomes 4:28. doi: 10.3390/proteomes4030028 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 386. Garbis S, Lubec G, Fountoulakis M. 2005. Limitations of current proteomics technologies. J Chromatogr A 1077:1–18. doi: 10.1016/j.chroma.2005.04.059 [DOI] [PubMed] [Google Scholar]
- 387. Petrosius V, Schoof EM. 2023. Recent advances in the field of single-cell proteomics. Transl Oncol 27:101556. doi: 10.1016/j.tranon.2022.101556 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 388. MacCoss MJ, Alfaro JA, Faivre DA, Wu CC, Wanunu M, Slavov N. 2023. Sampling the proteome by emerging single-molecule and mass spectrometry methods. Nat Methods 20:339–346. doi: 10.1038/s41592-023-01802-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 389. Misra BB, Langefeld CD, Olivier M, Cox LA. 2018. Integrated omics: tools, advances, and future approaches. J Mol Endocrinol 18. doi: 10.1530/JME-18-0055 [DOI] [PubMed] [Google Scholar]
- 390. Xiao JF, Zhou B, Ressom HW. 2012. Metabolite identification and quantitation in LC-MS/MS-based metabolomics. Trends Analyt Chem 32:1–14. doi: 10.1016/j.trac.2011.08.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 391. Chen R, Zheng J, Li L, Li C, Chao K, Zeng Z, Chen M, Zhang S. 2021. Metabolomics facilitate the personalized management in inflammatory bowel disease. Therap Adv Gastroenterol 14. doi: 10.1177/17562848211064489 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 392. Wu R, Xiong R, Li Y, Chen J, Yan R. 2023. Gut microbiome, metabolome, host immunity associated with inflammatory bowel disease and intervention of fecal microbiota transplantation. J Autoimmun 141:103062. doi: 10.1016/j.jaut.2023.103062 [DOI] [PubMed] [Google Scholar]
- 393. Huang J, Zheng X, Kang W, Hao H, Mao Y, Zhang H, Chen Y, Tan Y, He Y, Zhao W, Yin Y. 2022. Metagenomic and metabolomic analyses reveal synergistic effects of fecal microbiota transplantation and anti-PD-1 therapy on treating colorectal cancer. Front Immunol 13:874922. doi: 10.3389/fimmu.2022.874922 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 394. Smith L, Villaret-Cazadamont J, Claus SP, Canlet C, Guillou H, Cabaton NJ, Ellero-Simatos S. 2020. Important considerations for sample collection in metabolomics studies with a special focus on applications to liver functions. Metabolites 10:104. doi: 10.3390/metabo10030104 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 395. Schrimpe-Rutledge AC, Codreanu SG, Sherrod SD, McLean JA. 2016. Untargeted metabolomics strategies-challenges and emerging directions. J Am Soc Mass Spectrom 27:1897–1905. doi: 10.1007/s13361-016-1469-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 396. Roberts LD, Souza AL, Gerszten RE, Clish CB. 2012. Targeted metabolomics. Curr Protoc Mol Biol Chapter 30:Unit. doi: 10.1002/0471142727.mb3002s98 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 397. Rinott E, Youngster I, Yaskolka Meir A, Tsaban G, Zelicha H, Kaplan A, Knights D, Tuohy K, Fava F, Scholz MU, Ziv O, Rubin E, Tirosh A, Rudich A, Blüher M, Stumvoll M, Ceglarek U, Clement K, Koren O, Wang DD, Hu FB, Stampfer MJ, Shai I. 2021. Effects of diet-modulated autologous fecal microbiota transplantation on weight regain. Gastroenterology 160:158–173. doi: 10.1053/j.gastro.2020.08.041 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 398. Mocanu V, Rajaruban S, Dang J, Kung JY, Deehan EC, Madsen KL. 2021. Repeated fecal microbial transplantations and antibiotic pre-treatment are linked to improved clinical response and remission in inflammatory bowel disease: a systematic review and pooled proportion meta-analysis. J Clin Med 10:959. doi: 10.3390/jcm10050959 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 399. Aggarwala V, Mogno I, Li Z, Yang C, Britton GJ, Chen-Liaw A, Mitcham J, Bongers G, Gevers D, Clemente JC, Colombel JF, Grinspan A, Faith J. 2021. Precise quantification of bacterial strains after fecal microbiota transplantation delineates long-term engraftment and explains outcomes. Nat Microbiol 6:1309–1318. doi: 10.1038/s41564-021-00966-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 400. Reichardt N, Vollmer M, Holtrop G, Farquharson FM, Wefers D, Bunzel M, Duncan SH, Drew JE, Williams LM, Milligan G, Preston T, Morrison D, Flint HJ, Louis P. 2018. Specific substrate-driven changes in human faecal microbiota composition contrast with functional redundancy in short-chain fatty acid production. ISME J 12:610–622. doi: 10.1038/ismej.2017.196 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 401. Parsippany NJ, Rebyota, Ferring Pharmaceuticals . 2022. FDA approves first fecal microbiota product. Available from: https://www.ferringusa.com/pi/rebyota. Retrieved 22 Jun 2023.
- 402. US Food and Drug Administration . 2023. FDA approves first orally administered fecal microbiota product for the prevention of recurrence of Clostridioides difficile infection. Available from: https://www.fda.gov/vaccines-blood-biologics/vowst. Retrieved 22 Jun 2023.
- 403. Hocking L, Ianiro G, Leong RW, Iqbal T, Kao D, Cabling M, Stockwell S, Romanelli RJ, Marjanovic S. 2023. Faecal microbiota transplantation for recurrent C. difficile infections: challenges and improvement opportunities for clinical practice and healthcare systems. Aliment Pharmacol Ther 57:549–564. doi: 10.1111/apt.17309 [DOI] [PubMed] [Google Scholar]
- 404. Baunwall SMD, Terveer EM, Dahlerup JF, Erikstrup C, Arkkila P, Vehreschild MJ, Ianiro G, Gasbarrini A, Sokol H, Kump PK, et al. 2021. The use of faecal microbiota transplantation (FMT) in Europe: a Europe-wide survey. Lancet Reg Health Eur 9:100181. doi: 10.1016/j.lanepe.2021.100181 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 405. Ma Y, Liu J, Rhodes C, Nie Y, Zhang F. 2017. Ethical issues in fecal microbiota transplantation in practice. Am J Bioeth 17:34–45. doi: 10.1080/15265161.2017.1299240 [DOI] [PubMed] [Google Scholar]
- 406. Mikail M, O’Doherty KC, Poutanen SM, Hota SS. 2020. Ethical implications of recruiting universal stool donors for faecal microbiota transplantation. Lancet Infect Dis 20:e44–e49. doi: 10.1016/S1473-3099(19)30569-9 [DOI] [PubMed] [Google Scholar]
- 407. Pinu FR, Beale DJ, Paten AM, Kouremenos K, Swarup S, Schirra HJ, Wishart D. 2019. Systems biology and multi-Omics integration: Viewpoints from the metabolomics research community. Metabolites 9:76. doi: 10.3390/metabo9040076 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 408. Odenkirk MT, Reif DM, Baker ES. 2021. Multiomic big data analysis challenges: increasing confidence in the interpretation of artificial intelligence assessments. Anal Chem 93:7763–7773. doi: 10.1021/acs.analchem.0c04850 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 409. Yang Y, Saand MA, Huang L, Abdelaal WB, Zhang J, Wu Y, Li J, Sirohi MH, Wang F. 2021. Applications of multi-omics technologies for crop improvement. Front Plant Sci 12:563953. doi: 10.3389/fpls.2021.563953 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 410. Hasin Y, Seldin M, Lusis A. 2017. Multi-omics approaches to disease. Genome Biol 18:83. doi: 10.1186/s13059-017-1215-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 411. Buescher JM, Driggers EM. 2016. Integration of omics: more than the sum of its parts. Cancer Metab 4:4. doi: 10.1186/s40170-016-0143-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 412. Li P, Luo H, Ji B, Nielsen J. 2022. Machine learning for data integration in human gut microbiome. Microb Cell Fact 21:241. doi: 10.1186/s12934-022-01973-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 413. Walter J, Armet AM, Finlay BB, Shanahan F. 2020. Establishing or exaggerating causality for the gut microbiome: lessons from human microbiota-associated rodents. Cell 180:221–232. doi: 10.1016/j.cell.2019.12.025 [DOI] [PubMed] [Google Scholar]
- 414. Ingber DE. 2022. Human organs-on-chips for disease modelling, drug development and personalized medicine. Nat Rev Genet 23:467–491. doi: 10.1038/s41576-022-00466-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 415. Jiang X, Ren L, Tebon P, Wang C, Zhou X, Qu M, Zhu J, Ling H, Zhang S, Xue Y, Wu Q, Bandaru P, Lee J, Kim HJ, Ahadian S, Ashammakhi N, Dokmeci MR, Wu J, Gu Z, Sun W, Khademhosseini A. 2021. Cancer-on-a-chip for modeling immune checkpoint inhibitor and tumor interactions. Small 17:e2004282. doi: 10.1002/smll.202004282 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 416. Liu X, Fang J, Huang S, Wu X, Xie X, Wang J, Liu F, Zhang M, Peng Z, Hu N. 2021. Tumor-on-a-chip: from bioinspired design to biomedical application. Microsyst Nanoeng 7:50. doi: 10.1038/s41378-021-00277-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 417. Siwczak F, Loffet E, Kaminska M, Koceva H, Mahe MM, Mosig AS. 2021. Intestinal stem cell-on-chip to study human host-microbiota interaction. Front Immunol 12:798552. doi: 10.3389/fimmu.2021.798552 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 418. Spanogiannopoulos P, Bess EN, Carmody RN, Turnbaugh PJ. 2016. The microbial pharmacists within us: a metagenomic view of xenobiotic metabolism. Nat Rev Microbiol 14:273–287. doi: 10.1038/nrmicro.2016.17 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 419. van Kessel SP, Frye AK, El-Gendy AO, Castejon M, Keshavarzian A, van Dijk G, El Aidy S. 2019. Gut bacterial tyrosine decarboxylases restrict levels of levodopa in the treatment of Parkinson's disease. Nat Commun 10:310. doi: 10.1038/s41467-019-08294-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 420. Maini Rekdal V, Bess EN, Bisanz JE, Turnbaugh PJ, Balskus EP. 2019. Discovery and inhibition of an interspecies gut bacterial pathway for levodopa metabolism. Science 364:eaau6323. doi: 10.1126/science.aau6323 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 421. Groelly FJ, Fawkes M, Dagg RA, Blackford AN, Tarsounas M. 2023. Targeting DNA damage response pathways in cancer. Nat Rev Cancer 23:78–94. doi: 10.1038/s41568-022-00535-5 [DOI] [PubMed] [Google Scholar]
- 422. Sun R, Zhu L, Li L, Song W, Gong X, Qi X, Wang Y, Ghose R, Gao S, Hu M, Liu Z. 2020. Irinotecan-mediated diarrhea is mainly correlated with intestinal exposure to SN-38: critical role of gut Ugt. Toxicol Appl Pharmacol 398:115032. doi: 10.1016/j.taap.2020.115032 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 423. Dabek M, McCrae SI, Stevens VJ, Duncan SH, Louis P. 2008. Distribution of beta-glucosidase and beta-glucuronidase activity and of beta-glucuronidase gene gus in human colonic bacteria. FEMS Microbiol Ecol 66:487–495. doi: 10.1111/j.1574-6941.2008.00520.x [DOI] [PubMed] [Google Scholar]
- 424. Scott TA, Quintaneiro LM, Norvaisas P, Lui PP, Wilson MP, Leung KY, Herrera-Dominguez L, Sudiwala S, Pessia A, Clayton PT, Bryson K, Velagapudi V, Mills PB, Typas A, Greene NDE, Cabreiro F. 2017. Host-microbe co-metabolism dictates cancer drug efficacy in C. elegans. Cell 169:442–456. doi: 10.1016/j.cell.2017.03.040 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 425. Ducarmon QR, Kuijper EJ, Olle B. 2021. Opportunities and challenges in development of live biotherapeutic products to fight infections. J Infect Dis 223:S283–S289. doi: 10.1093/infdis/jiaa779 [DOI] [PubMed] [Google Scholar]
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Supplementary Materials
Tables S1 to S5.






