ABSTRACT
Over the last two decades our understanding of the gut microbiota and its contribution to health and disease has been transformed. Among a new ‘generation’ of potentially beneficial microbes to have been recognized are members of the genus Eubacterium, who form a part of the core human gut microbiome. The genus consists of phylogenetically, and quite frequently phenotypically, diverse species, making Eubacterium a taxonomically unique and challenging genus. Several members of the genus produce butyrate, which plays a critical role in energy homeostasis, colonic motility, immunomodulation and suppression of inflammation in the gut. Eubacterium spp. also carry out bile acid and cholesterol transformations in the gut, thereby contributing to their homeostasis. Gut dysbiosis and a consequently modified representation of Eubacterium spp. in the gut, have been linked with various human disease states. This review provides an overview of Eubacterium species from a phylogenetic perspective, describes how they alter with diet and age and summarizes its association with the human gut and various health conditions.
KEYWORDS: Eubacterium, gut microbiota, short-chain fatty acids, Eubacterium hallii, Eubacterium rectale, butyrate, irritable bowel syndrome, phylogeny, bile acids, cholesterol
Introduction
The importance of the gut microbiota in human health is now well established1. Components of the microbiota can facilitate the extraction of energy from nutrients, the deposition of fat in adipose tissues and provide for other resident microbes of the gut, besides eliminating pathogens through exclusion and other means.2 Depending on a plethora of factors that may be personal or environmental, the composition and function of the gut microbiota can vary significantly. However, distinguishing between a healthy or an unhealthy gut microbiome is difficult due to this large variability. Community composition alone, therefore, is not a reliable indicator of an aberrant or unhealthy state1 and, thus, a nuanced understanding of the microbiota, encompassing how specific taxa contribute to gut homeostasis and interact with their human host, is required for the development of evidence-based microbial therapeutics.3,4
Here, we focus on the genus Eubacterium, which was first proposed by Prévot in 1938 to describe a group of beneficial bacteria isolated from human feces.5 Eubacterium spp. are frequently encountered in the oral cavity and intestinal tract of mammals, including in the rumen of ruminants, as well as in the environment. The genus forms one of the core genera of the human gut microbiota and shows widespread colonization of the human gut across various human populations in Africa,6,7 Australia,8 Europe,9 India,10 South America,11,12 Asia13 and North America.14,15 Indeed, extensive human gut metagenome studies have reported the recovery of a large complement of metagenome-assembled Eubacterium rectale genomes irrespective of geographical location, age, lifestyle and clinical status.16,17 Interestingly, while Eubacterium spp. are routinely recovered from animal gut, an absence of E. rectale have been reported in primate gut; coupled with its omnipresence in the human gut this suggests a high degree of specificity and adaptation for the latter.17
Multiple species of the genus are currently regarded as promising targets for microbial therapeutics. Indeed, recent consensus among gut microbiologists suggests that specific strains of butyrate-producing microbes belonging to the genera Eubacterium, Roseburia and Faecalibacterium, among others, may ultimately be considered as beneficial to human health in the same manner as strains of Lactobacillus and Bifidobacterium.18 The genus Eubacterium is challenging to define, as discussed further below, and several species initially assigned to the genus have been subsequently reassigned to an existing or novel genus. Even now, the genus continues to be phylogenetically diverse and members can be assigned to several lineages. In recognition of this taxonomic flux, we will include some former Eubacterium species that have been recently reassigned to other genera for the purpose of this review. Additionally, we will largely restrict our discussion to Eubacterium species that are most relevant to the gut. Notably, even though much is known about the genus in general, our understanding of its function in the gut continues to evolve. Ultimately, here we review the literature to date relating to the phylogeny, characteristics and contributions of the members of the genus in relation to the human gut health and microbial ecology.
The genus Eubacterium is phylogenetically diverse
The genus Eubacterium consists of Gram positive, uniform or pleomorphic non-spore forming, obligately anaerobic, and chemoorganotrophic bacterial rods. Species in this genus can be saccharoclastic or nonsaccharoclastic and motile or immotile in nature.19 Bacteria from this genus produce mixtures of organic acids from carbohydrates or peptone, which may include copious amounts of butyric, acetic and formic acids but do not produce: (a) only lactic acid, (b) propionic acid as the major acid, (c) greater quantities of acetic acid than lactic acid with or without the formation of formic acid and (d) lactic and succinic acid with small quantities of acetic or formic acid.5 This definition is rather loose and leads to the incorporation of species in the genus by default; historically resulting in the inclusion of species with a variety of phenotypes and genotypes in the genus and, ultimately, making it highly heterogeneous. According to the latest iteration of the Bergey’s Manual of Systematics of Bacteria and Archaea19 as well as NCBI Taxonomy, the genus Eubacterium belongs to the bacterial phylum Firmicutes, order Clostridiales and family Eubacteriaceae. However, according to the Genome Taxonomy Database (GTDB), which uses whole/draft genome information for classification of taxa, the genus should be assigned to the family Lachnospiraceae.20 The genus currently consists of 42–44 species depending on the taxonomy being followed, and the major species of interest in relation to the human gut include Eubacterium rectale, E. hallii, E. ventriosum, E. eligens, E. coprostanoligens, and E. limosum. The DNA G + C content (mol%) of the genus varies from 30 to 57% and the type strain is Eubacterium limosum.
Due to the rather loose definition of the genus, many of the species currently in the genus do not belong in the genus sensu stricto and are likely be moved to novel or existing genera in time. Indeed, 16S rRNA analysis of the species in genus Eubacterium has highlighted their wide distribution across phylogenetic trees.5 Here, we provide an update of this tree to display the phylogenetic relationship between some members of the genus and other closely related species using a representative maximum-likelihood tree constructed with 16 ribosomal protein markers (Figure 1). The majority of members of Eubacterium that have undergone taxonomic reassignment are assigned to phylum Firmicutes and are widely distributed therein. Examples include E. formicigenerans and E. timidum, which were reassigned to the genera Dorea and Mogibacterium respectively.24,25 However, several other members have been reassigned to other phyla; instances include the reassignment of Eubacterium species to genera such as Slackia, Cryptobacterium and Eggerthela, all of which belong to phylum Actinobacteria. Notably, certain Eubacterium species such as E. cylindroides may exhibit both Gram-positive and Gram-negative characteristics, thereby creating ambiguity in a fundamental phenotypic characteristic that is frequently implemented in taxonomic assignment; this contributes further to the considerable confusion in classification of Eubacterium species.26 It has been proposed that the core genotype of the genus Eubacterium sensu stricto be restricted to the type species of the genus, Eubacterium limnosum, along with Eubacterium callanderi, Eubacterium barkeri and Eubacterium aggregans,19,27 with the remaining species potentially assimilated into/reclassified as existing or novel genera when ample genomic and phylogenetic evidence supporting the same is available. For practicality, members have to date been grouped into subcategories based on phylogenetic characteristics. One of the loose phylogenetic subcategories proposed contain E. rectale, E. oxidoreducens, E. ramulus, Roseburia cecicola and R. intestinalis, where all species included except E. oxidoreducens produce butyrate and are saccharolytic.19 The taxonomic relationships of the members in this subcategory are discussed in detail by Duncan et al,28 and presents a strong case for reclassification of some of these species. E. eligens, an important gut Eubacterium, has been found to share considerable phylogenetic and phenotypic similarity with Lachnospira pectinoschiza and merits possible reclassification with availability of further evidence.19
Figure 1.
Phylogenetic relationship of Eubacterium spp. Complete genomes for Eubacterium species (current and recently reassigned) were obtained from NCBI along with other closely related gut microbes. 16 ribosomal marker proteins (including rpL14, rpL15, rpL16, rpL18, rpL22, rpL24, rpL2, rpL3, rpL4, rpL5, rpL6, rpS10, rpS17, rpS19, rpS3 and rpS8) were extracted from each genome, aligned with MAFFT v7.27121 and concatenated to create a RP16 protein alignment. Phylogenetic reconstruction using maximum likelihood was carried out in IQ-TREE22 with the following settings: -mset WAG,LG,JTT,Dayhoff -mrate E,I,G,I + G -mfreq FU -wbtl. Only genomes with at least 4 ribosomal marker proteins were included in the tree. The resulting tree was visualized using iTOL.23 Possible misclassifications are denoted by filled, inverted triangles in the phylogram. Tree nodes are depicted by filled circles.
Certain Eubacterium species that are important in relation to gut health have already undergone, or are proposed to undergo, reclassification in view of their divergent phenotypic and phylogenetic characteristics. For example, Shetty et al. proposed the reclassification of E. hallii as Anaerobutyricum hallii Comb. Nov., when reporting a similar novel butyrate and propionate-producing species Anaerobutyricum soehngenii.29 Indeed, E. hallii, along with E. indolis, E. cellulosolvens, E. plexicaudatum, E. ruminantium, E. saburreum, E. xylanophilum, E. uniforme, and E. ventriosum form a subcategory of interest in the genus Eubacterium. Notably, members of this group are not phylogenetically or phenotypically related to other species in the genus and exhibit distinct characteristics that warrants the creation of a novel genus for each.19 Another common intestinal inhabitant, Eubacterium hadrum, was also assigned to the genus Anaerostipes, based on both genotypic and biochemical features.30 Additionally, it has recently been proposed that one of the most important gut microbes, E. rectale, be reclassified as Agathobacter rectalis.31 This reclassification was however challenged by Sheridan et al.32 who argued that the evidence presented by Rosero et al.31 did not justify reclassification. The need for reclassification of E. rectale was however acknowledged by Sheridan et al., but urged exercising caution with this important member of the human gut, noting that any change in its taxonomic or phylogenetic affiliations will have a major impact on human microbiota research.
Understandably, taxonomic reassignments proposed have not been universally accepted yet and indeed, as noted, care must be taken while considering taxonomic classification and reporting of any member of genus Eubacterium. Further efforts relating to the classification of the genus should have a primarily genotypic focus with an emphasis on genomic characteristics. The prokaryotic taxonomy devised by Parks et al.33 in the GTDB, where a battery of universal, single copy marker genes derived from whole/draft genomes, are used to classify microorganisms, can be used as a model. Such an approach standardizes taxonomic assignments through normalization of taxonomic ranks on the basis of relative evolutionary divergence and has been shown to be capable of deconvoluting polyphyletic groups. Combined with rapidly declining sequencing prices, the increasing and ample availability of prokaryotic genomes can contribute greatly to such an exercise. With assembly of high-resolution draft genomes from metagenomes also now routine, microbiologists can glean information from truly uncultivable organisms and a definitive reclassification of the genus Eubacterium should be possible in the near future. Until then, there is likely to continue to be those who will view Eubacterium as a combined group – Eubacterium et rel. – when discussing human health, especially in relation to the gut. We will adopt this approach for the remainder of this review.
Modulation of Eubacterium spp. in the gut by diet and age
Diet is one of the most important factors that dictates the composition and diversity of the gut microbiota. In case of Eubacterium spp., their presence in the gut have been largely associated with increased intake of dietary fibers and have been shown to decrease with an increasing protein/fat percent in diet.34 These observations are supported by recent studies outlining the utilization of digestion resistant complex carbohydrates by Eubacterium species.35–37 In a recent study by Scott et al., E. hallii and E. rectale were shown to be capable of utilizing media supplemented with resistant carbohydrates, i.e., fructans of increasing chain lengths such as P95 short-chain fructo-oligosaccharides, high-performance inulin, and Synergy-1; Dahlia inulin was metabolized exclusively by E. rectale.35 Several studies have reported that a Western diet, which includes increased proportions of animal protein and fat and is low in fiber, leads to a marked decrease in bacterial abundance in the gut including desirable taxa such as Bifidobacterium and Eubacterium.38–40 The corollary all appears to be true in that research involving the Mediterranean diet, which is well established as a diet that can contribute to health, has been shown to increase Eubacterium spp. populations in the gut.41,42 Other studies with diverging diets have also contributed to our understanding of how Eubacterium spp. is modulated in the gut. For example, Noriega et al. investigated changes in the gut microbiota when a polyunsaturated omega-3 fatty acid-rich diet was fed to a 45-year-old male.43 After the feeding phase, the fecal samples collected showed a drastic increase in abundances of several butyrate producers including Eubacterium spp. indicating a positive modulation of Eubacterium by polyunsaturated fatty acids. Further investigations, however, must be performed, to better understand the changes in Eubacterium spp. population in the gut with diet.
Through the process of aging, the gastrointestinal tract undergoes changes, including degeneration of the mucosal barrier and enteric nervous system along with an alteration of intestinal motility and an increase in gastrointestinal pathologies. As a general trend, microbiota diversity in the elderly is decreased with fewer butyrate producers and an increase in the number of potential pathogens.44,45 Among other things, a decrease in short-chain fatty acid (SCFA) production in the gut can result in an impaired secretion of mucins by the intestinal epithelial cells, providing enhanced access for pathogens to the intestinal mucosa and, potentially, gut inflammation.46 In elderly individuals, gut inflammation can be exacerbated by impairment of the gut-associated lymphoid tissue (GALT), leading to inefficient control of the resident microbiota and release of pro-inflammatory cytokines and chemokines by enterocytes; with the latter driving the differentiation of effector TH1, TH2 and TH17 cells.47–49 Consistent with these observations, a decrease in the relative proportion of E. hallii, E. rectale, and E. ventriosum has been noted in centenarians, whereas potentially pathogenic bacteria from the phylum Proteobacteria were increased.50 The beneficial effects of Eubacterium spp. were highlighted in an extensive study carried out by Ghosh et al., where a large cohort (n = 612) of elderly individuals were investigated to assess the modulatory effects of the Mediterranean diet on their gut microbiota.42 The authors reported that Eubacterium species such as E. rectale and E. eligens were positively associated with several markers of lower frailty and improved cognitive ability as well as increased short/branched chain fatty acid production. Eubacterium spp. also showed negative correlations with inflammatory markers such as IL-2 and C-reactive protein. Furthermore, network analysis revealed Eubacterium spp. to be a keystone species in the elderly gut microbial ecosystem, with frailty-associated taxa on the fringe. However, in contrast to these general observations, other studies have inferred a positive association between Eubacterium spp. and age.51,52 Clearly, inconsistent observations, albeit from studies involving diverse experimental designs with presumably quite variable diets, highlight the need for additional age-related studies in which other variables, especially diet, are as consistent as possible.
Short-chain fatty acids produced by Eubacterium spp. contribute to gut health
During the process of digestion, most available nutrients undergo absorption in the duodenum. However, a fraction of ingested carbohydrates that are resistant to digestion, including dietary fibers, remain intact until they reach the colon. Here, these microbiota accessible carbohydrates (MACs) are fermented and metabolized by specialized enzymes produced by the resident gut microbiota53 (Figure 2). Microbial degradation of these complex carbohydrates, and of host mucin, results in the production of hexoses and pentoses before subsequent conversion to lactate and SCFAs such as acetate, propionate, butyrate, formate, and succinate by several other gut microbes.54 These SCFAs can, in turn, be taken up by the host. Unsurprisingly, ingestion of dietary fibers have been directly correlated to SCFA concentration and abundance of butyrate producers including Eubacterium spp., whereas high-fat diets have been associated with reduced formation of SCFAs.34,55,56 Additionally, the abundance of Eubacterium spp. in the gut is strongly correlated with SCFA levels and the beneficial effects of SCFAs in a variety of clinical conditions such as inflammatory bowel diseases, metabolic syndromes, and colorectal cancer, as discussed below.
Figure 2.
Modulation of various processes through short-chain fatty acids (SCFAs) produced by Eubacterium spp. Upon reaching the gut, carbohydrates resistant to digestion (commonly derived from dietary fibers) are degraded by gut microbiota to produce monosaccharides. These monosaccharides can be utilized by certain bacteria, including Eubacterium spp., in the gut to produce SCFAs such as butyrate, propionate, and acetate. SCFAs interact with G-protein-coupled receptors such as GPR43, GPR41, and GPR109a to modulate inflammation, intestinal barrier integrity, glycemic response, energy homeostasis and other host responses. Inflammation is suppressed by SCFAs primarily through inhibition of the NF-κB pathway and/or histone deacetylase function (HDACi) to downregulate pro-inflammatory cytokines such as TNFα, IL-6, IL-12, IFNγ and upregulate anti-inflammatory cytokines such as IL-10, TGF-β in a variety of cells including immune cells such as macrophages in lamina propria. IL-18 expression upregulated by GPR109a contributes to the enhancement of intestinal barrier integrity. SCFAs can also be taken up by enterocytes through the monocarboxylate transporter (MCT) and along with peptide YY (PYY) and glucagon-like peptide-1 (GLP-1) variably stimulates the liver, muscles, pancreas and adipose tissues to influence glycemic response, lipolysis, fatty acid oxidation and gluconeogenesis.
Production of butyrate and propionate by Eubacterium spp. in the gut
Among the SCFAs, propionate, and butyrate are most often considered to benefit human health and are produced by distinct cohorts of the colonic microbiota including several species from the genus Eubacterium57 (Figure 2). One of the most extensively studied Eubacterium species, E. rectale, was first isolated from the feces of healthy Japanese-Hawaiian males and identified as a major butyrate producer capable of utilizing complex carbohydrates such as cellobiose and starch for growth and proliferation.58 E. hallii, on the other hand, was first reported as a butyrate producer in the human gut by Barcenilla et al. in a 16S rRNA gene-based RFLP study.59 In the gut, butyrate can be produced from carbohydrates via glycolysis where two molecules of acetyl-CoA are combined to form acetoacetyl-CoA and undergo stepwise reduction to produce butyryl-CoA. Two distinct pathways are currently known for the final transformation of butyryl-CoA to butyrate; this proceeds either through the butyryl-CoA:acetate CoA-transferase pathway or the phosphotransbutyrylase and butyrate kinase pathway.60 The butyryl CoA:acetate CoA-transferase route for the final production of butyryl-CoA from acetyl-CoA is shared by E. rectale and the closely related Roseburia species, along with genomic organization of the butyrate synthetic genes. The same pathway is also employed by other Eubacterium species such as E. hallii and E. biforme (now reclassified as Holdemanella biformis) for the production of butyrate.60 Both E. rectale and E. hallii have been subsequently identified as prolific butyrate producers in the gut. Indeed, they were found to be among the 10 most abundant members of the human fecal microbiota, contributing more than 44% of butyryl-CoA:acetate CoA-transferase sequences retrieved from fecal samples of 10 healthy volunteers.61,62 A recent Swiss cohort study has also shown E. hallii to be one of the first producers of butyric acid in the infant gut.63
Propionate can be formed via two pathways from sugar fermentation by gut microbes. While the succinate pathway processes most pentose and hexose sugars to produce propionate, deoxy sugars such as fucose and rhamnose are metabolized by the propanediol pathway. The latter are readily available in the gut environment as dietary (e.g. human milk oligosaccharides) or host-derived (mucin) glycans and upon utilization by a variety of gut microbes can produce 1,2-propanediol as an end product. Although unable to degrade deoxy sugars, 1,2-propanediol can be metabolized by E. hallii, which has been shown to carry the glycerol/diol dehydratase PduCDE, a key enzyme in the transformation of 1,2-propanediol to produce propionate and propanol with the generation of one ATP.64,65 The conversion of 1,2-propanediol to propionate is dependent on the availability of vitamin B12 and occurs within microcompartments called polyhedral bodies to sequester the toxic intermediate, propionaldehyde.66
Although Eubacterium spp. can degrade complex carbohydrates, certain strains of Eubacterium spp. strains may lack the ability to degrade specific complex carbohydrates and rely on metabolites produced by other gut microbes for doing so; fermented products produced by these other gut microbes can then be utilized by Eubacterium spp.57 The importance of cross-feeding mechanisms in SCFA production by Eubacterium spp. have been demonstrated in a number of instances.67–69 In these studies, Eubacterium spp. were co-cultured with Bifidobacterium spp. in the presence of complex carbohydrates. The Bifidobacterium strains, which are capable of degrading complex carbohydrates such as arabinoxylan oligosaccharides and fucosyllactose, were shown to produce acetate, lactate and 1,2-propanediol, all of which were in turn taken up and used by Eubacterium spp. to produce butyrate and propionate. Evidence of such cross-feeding by Eubacterium spp. not only highlights the synergistic interactions between gut microbes and butyrogenic effects of resistant carbohydrates, but also underlines the ecological roles of Eubacterium spp. in the gut environment.
Eubacterium spp. modulate gut inflammation through SCFAs
SCFAs, and especially butyrate has been reported to impart varied beneficial effects on human health.70 Although, the least abundant SCFA produced, butyrate constitutes the primary energy source of colonocytes, promoting their proliferation, maturation, and a healthy colon.71 Indeed, E. rectale has been reported to preferentially colonize the mucus layer, thereby increasing the bioavailability of butyrate for epithelial colonocytes.72 Additionally, SCFAs, have been shown to play a major role in modulation of inflammation in the gut through promotion of intestinal integrity and regulation of immune response. SCFAs can improve transepithelial resistance through upregulation of tight junction proteins such as claudin-1 and occludin as well as the intestinal mucin protein, mucin 2.73,74 Modification of various signaling pathways have been also described to highlight regulation of immune response by SCFAs including activation of G-protein-coupled receptors (GPCRs) and inhibition of histone deacetylases (HDACs).75 SCFAs can bind to at least four discrete GPCRs – FFAR2 (Free fatty acid receptor), FFAR3, GPR109a, and Olfr78 as ligands, albeit with varying specificity.76 For example, butyrate binds preferentially to FFAR3 over FFAR2, which exhibits higher affinities for acetate and propionate.76 FFAR2 is widely expressed in diverse tissues with highest expression in immune cells. Several studies have shown that SCFAs can act as an anti-inflammatory agent through inhibition of pro-inflammatory cytokines such as IFN-γ, IL-1β, IL-6, IL-8, and TNF-α, while upregulating anti-inflammatory cytokines such as IL-10 and TGF-β in a FFAR2/FFAR3 dependent manner.75,77 GPR109a activates the inflammasome pathway in colonic macrophages and dendritic cells, thereby inducing differentiation of regulatory T cells, and anti-inflammatory IL-10 producing T-cells.78 GPR109a activation by SCFAs in intestinal epithelial cells (IECs) can also increase production of IL-18, a key cytokine for repair and maintenance of intestinal epithelial integrity.79 Inhibition of HDAC activity by propionate and butyrate have been associated with the downregulation of expression for pro-inflammatory cytokines and chemokines such as CXCL8 and CCL20 in IECs.80 HDAC inhibition by SCFAs have also been associated with the increase in expression of β-defensins and cathelicidins such as LL-37.81 Given the extensive involvement of SCFAs in modulation of gut health as described, especially butyrate, a dysbiosis of the gut microbiota involving SCFA producers has major implications due to alteration of the SCFA profile in the intestine.82
Inflammatory bowel diseases (IBDs) are severe and chronic inflammations of the gastrointestinal tract and are characterized by two major clinical phenotypes: Crohn’s disease (CD) and ulcerative colitis (UC). CD involves the transmural inflammation of all layers of the epithelial wall, whereas UC only affects the superficial mucosal layer. In general, IBDs recurrently exhibit dysbiosis of the gut microbiota that is characterized by a decrease in the diversity and temporal stability of the microbiota. While the exact role of microbial disturbances in the pathogenesis or causation of IBDs is still being elucidated, the proportion of butyrate producers including Eubacterium spp. in the gut are consistently reduced in IBD subjects83-85 (Table 1). Indeed, a decreased abundance of clostridial clusters IV and XIVa in IBD patients compared to non-IBD, healthy individuals along with a concomitant increase in proteobacterial pathobionts constitute a signature for microbial dysbiosis in IBDs and can be considered as biomarkers.86,95-97 Consequently, a decrease in gut butyrate levels is commonly observed in patients suffering from IBD, leading to improper modulation of the host immune system.98 Decreased levels of SCFA in the gut in IBD and experimental colitis have also been correlated with reduced regulatory T cell functionality and increased inflammation.99,100
Table 1.
Case-control studies showing association of Eubacterium spp. with inflammatory bowel diseases (IBDs).
Pathology/condition/cohort description | Principal method(s) used | Inferences | Reference |
---|---|---|---|
Fecal samples from 6 children with Crohn’s disease (CD), 6 children with ulcerative colitis (UC) and 12 healthy siblings. | Metagenomic shotgun sequencing | ↓ E. rectale and F. prausnitzii ↑ E. coli and Fusobacterium nucleatum in IBD patients. |
Knoll et al.86 |
Fecal samples were obtained from 6 healthy volunteers (median age of 26.5) and 6 UC patients (median age of 40.5). Healthy volunteers: 5 males and 1 female; UC group: 3 males and 3 females. | M-SHIME system, Denaturing Gradient Gel Electrophoresis (DGGE), qPCR | ↓ E. rectale and C. coccoides. Reduced luminal butyrate in M-SHIME samples inoculated with feces from UC patients. |
Vermeiren et al.87 |
35 Saudi children with (n = 17) or without (n = 18) CD. The median age was 15 years for children with CD and 16.3 years for healthy controls. Gender distribution indicated that 65% of the CD patientand 67% of the control subjects were males. | 16S rRNA gene sequencing |
Roseburia inulivorans ↓, Eubacterium seraeum ↓, Eubacterium spp. ↓ Several species including the ones shown above were depleted in children with CD. |
El Mouzan et al.85 |
Fecal samples were collected from pediatric patients (CD: n = 10 and UC: n = 12) along with healthy children (n = 8). | Polyphasic microbiological analysis including culture-based study, real-time PCR, and DGGE |
↓ Bifidobacterium sp. and E. rectale in both UC and CD patients. | Maukonen et al.88 |
Mucosal biopsies of both inflamed and non-inflamed sites from 14 patients with active UC. Paired mucosal biopsies of the corresponding sites obtained from 14 non-IBD controls. | 16S rRNA gene sequencing | Significantly decreased microbial diversity in both inflamed and non-inflamed sites in UC patients compared with non-IBD controls. Decreased abundance of the genera Prevotella, Eubacterium, Neisseria, Leptotrichia, Bilophila, Desulfovibrio, Butyricimonas at inflamed site of UC patients. | Hirano et al.89 |
Fecal and blood samples from 68 pediatric patients with IBD (males = 38) and 26 controls (males = 11). 32 patients received anti-tumor necrosis factor-α (anti-TNF-α). | Phylogenetic microarray, qPCR | ↓ microbial richness, abundance of butyrate producers, and relative abundance of Clostridium clusters IV and XIVa. Higher levels of baseline E. rectale and Bifidobacterium spp. predictive of successful response to anti-TNF-α medication. | Kolho et al.90 |
The mucosa associated colonic microflora of 57 patients (CD: n = 26; UC: n = 31) with active IBD and 46 controls were investigated. | 16S rDNA based single strand conformation polymorphism (SSCP) fingerprint, cloning experiments, and real time polymerase chain reaction (PCR). |
Decrease in microbial diversity in IBD. ↓ Bacteroides sp., Eubacterium sp., and Lactobacillus sp. in IBD patients compared to healthy subjects. |
Ott et al.91 |
Fecal samples from 6 CD patients and 6 healthy volunteers. | Custom phylogenetic array, qPCR | In controls: ↑ E. rectale, Bacteroides fragilis group, B. vulgatus, Ruminococcus albus, R. callidus, R. bromii, and F. prausnitzii. In CD patients: ↑ Enterococcus sp., Clostridium difficile, Escherichia coli, Shigella flexneri, and Listeria sp. |
Kang et al.84 |
104 de novo IBD-patients (63 CD, 41 UC, median age 14.0 years) and 61 healthy controls (median age 7.8 years). | IS-Pro assay | Eubacterium spp. were less abundant in IBD patients compared to healthy controls. | Meij et al.92 |
Fecal samples from 13 new-onset CD patients (9 females, 67%; mean age 32.18) and 16 healthy controls, matched by age and gender. | 16S rRNA gene sequencing | ↓ Ruminococus, Roseburia, Parabacteroides, Mesoplasma, Faecalibacterium, Eubacterium and Alistipes in CD samples compared to healthy controls. | Rojas-Feria et al.93 |
447 children and adolescents (<17 years) with new-onset CD and a control population of 221 subjects were enrolled as part of the RISK cohort. Biopsies were collected from the terminal ileum and rectum. |
16S rRNA gene sequencing, metagenomic shotgun sequencing | In CD samples compared to healthy controls: ↑ Escherichia coli, F. nucleatum, Haemophilus parainfluenzae. ↓ Bifidobacterium bifidum, B. longum, B. adolescentis, B. dentum, Blautia hansenii, F. prausnitzii, Ruminoccus torques, Clostridium bolteae, E. rectale, Roseburia intestinalis, and Coprococcus comes. |
Gevers et al.94 |
A butyrate-mediated protective effect provided by Eubacterium spp. in IBDs has been demonstrated in several recent studies. In vitro studies using fecal microbiota from UC and CD patients, represented by fewer butyrate producers, exhibited a decreased capacity for colonization and butyrate production; supplementation of the IBD microbiota with known butyrate producers including Eubacterium spp. restored butyrate production and improved epithelial barrier integrity and colonization capacity.87,101 The role of the Eubacterium spp.-butyrate-anti-inflammation axis in gut health was further demonstrated in children suffering from IBD who underwent an anti-TNF-α treatment; patients harboring a higher baseline abundance of E. rectale were more responsive to treatment with the presence of E. rectale being predictive of successful attenuation of inflammation.90 The protective effects of E. limosum, and the SCFAs it produces, in gut inflammation have been demonstrated in in vitro and murine models.102 SCFAs produced by E. limosum induced T84 colonocyte growth and reduced IL-6 and TLR4 expression by the colonocytes when stimulated by TNF-α treatment, with butyrate being the most prominent effector. Additionally, when provided with a 5% E. limosum chow, mice showed significant retention of body weight and colon length compared to the control group upon induction of colitis. These observations exhibit a butyrate-mediated anti-inflammatory effect of Eubacterium spp. on gut health and presents it as an attractive biotherapeutic in inflammatory gut ailments.
Effects of SCFA production by Eubacterium spp. in Type II diabetes mellitus (T2DM) and obesity
The association of Eubacterium spp. with obesity remains controversial so far, with several reports suggesting a positive correlation of Eubacterium spp. with obesity.103–105 BMI is often considered a proxy for adiposity; some BMI-based studies have also reported greater abundances of Eubacterium spp. in obese subjects.106,107 Interestingly, higher levels of total butyrate have been reported in obese individuals with reduced fecal SCFAs in treated obese subjects, which suggests an enhanced assimilation of carbohydrates and lipids that can contribute to the obese phenotype.108–110 Such an observation can explain the higher abundance of butyrate producers including Eubacterium spp. in obese individuals. A closer look at dietary intervention studies indicates that the proportions of Eubacterium spp. and other butyrate producers in obese subjects may be influenced primarily by diet. A significant reduction of Eubacterium spp. is consistently reported in several studies where availability of complex carbohydrates to gut microorganisms have been restricted in obese individuals.15,111,112 A study by Balamurugan et al. in obese and non-obese Indian children exposed to similar diets also did not find any difference in E. rectale abundance between groups.113 Taken together, current evidence indicates that Eubacterium spp. along with other butyrate producers, when maintained in the gut through a consistent availability of reasonable amount of complex carbohydrates, increases in obese individuals in proportion, thereby facilitating energy extraction in the gut. It is also possible that diet rather than altered metabolic parameters in obese individuals, may drive the growth and proliferation of butyrate producers including Eubacterium spp. The exact mechanisms through which the gut microbiota may modulate obesity are still being elucidated. Instances where butyrate have been shown to alleviate diet-induced obesity and improve glucose homeostasis make it difficult to make linear conclusions and provides an incentive for further investigations.114,115 Ultimately, care must be taken while inferring direct associations between taxa and obesity, as such conclusions may be misleadingly oversimplistic for a metabolic syndrome with multifactorial influences.
Eubacterium spp. and butyrate producers have been positively associated with insulin sensitivity in several studies.116,117 Recent independent studies which compared metagenomes from healthy and T2D individuals, have clearly indicated a potential correlation between gut microbiota and T2D pathophysiology.118,119 The studies, carried out in Chinese and European populations, both reported a significant reduction of butyrate producers including Eubacterium spp. in T2D subjects.109,119 Additional studies have demonstrated the restorative effect of butyrate producers, including Eubacterium spp., transplanted from lean individuals, in both human and murine insulin-resistant models.120–122 Indeed, the increase in Eubacterium spp. after FMT was associated with metabolic improvement in insulin-resistant individuals.120 When orally administered to obese and insulin-resistant db/db mice, E. hallii have been shown to significantly improve insulin sensitivity and energy metabolism.121 The stimulation of gut hormones and inhibition of food intake by SCFAs have been proposed as possible mechanisms of modulation of host metabolism by gut microbiota in T2D individuals.123 Such a proposed mechanism is consistent with the observation that butyrate and propionate bound to FFAR2 receptor can regulate satiety hormones such as ghrelin (orexigenic peptide), glucagon-like peptide-1 (GLP-1), and peptide YY (PYY) (anorexigenic peptide)124 (Figure 2). Ghrelin, also known as the ‘hunger hormone’, stimulates appetite and is secreted before a meal, while GLP-1 and PYY are synthesized and released by enteroendocrine L cells and stimulate insulin secretion by pancreatic β cells, reduces food intake, and normalizes energy intake and weight loss. An opposite regulation of ghrelin and GLP-1/PYY by SCFAs, where GLP_1/PYY are upregulated and ghrelin is downregulated, ensures reduced food intake, satiety and reduced adiposity.125 Ghrelin, has also been negatively associated with the butyrate-producing E. rectale.126 Recent evidence from Zeevi et al., who performed a machine learning-based study on a large cohort (n = 800) in order to predict personalized postprandial glycemic response for individuals using an integrated feature dataset derived from dietary habits, gut microbiota, anthropometrics, physical activity, and blood parameters, also supports an affirmative role of Eubacterium spp. in insulin sensitivity.127 In their study, 72 features from the gut microbiome were inferred to be predictive, among which E. rectale was reported to be one of the most robust with a higher abundance of the bacterium in the gut being positively associated with lower postprandial glycemic response (n = 430). Butyrate produced by Eubacterium spp. can also provide additional benefits to T2DM patients through HDAC inhibition-mediated pancreatic β-cell reprogramming to improve insulin sensitivity and satiety.128 Finally, low-grade inflammation has been reported in T2DM, where inflammatory molecules are upregulated in insulin target tissues and contribute to insulin resistance.129 For example, TLR4-dependent increase in production of pro-inflammatory cytokines through activation of macrophages and β-cells in pancreatic islets leads to dysregulation, functional impairment, and decreased viability of β-cells.130 SCFAs produced by Eubacterium spp. can contribute to restoration of physiological inflammatory environments through mechanisms detailed above. Such a connection is also reinforced by the consistent decrease of other gut butyrate producers in T2DM.116,117 Current observations therefore consistently indicate Eubacterium spp. as a positive contributor in alleviating T2DM and should be considered as a potential therapeutic.
Butyrate-mediated contribution of Eubacterium spp. in inhibition of colorectal cancer and atherosclerosis
Dysbiosis of the gut microbiota is closely associated with incidence of various cancers including colorectal cancer. While chronic inflammation and reduced immune response resulting from dysbiosis has been reported to contribute to increased cancer incidence, commensal bacteria have been demonstrated to increase immune surveillance and decrease cancer incidence.131,132 Dietary fibers have been associated with lower risks of intestinal cancer development; this is primarily due to the strong anti-cancer effect of butyrate.133–136 Through modulation of various signaling pathways involved in cell survival and apoptosis, the anti-cancer activity of butyrate has been demonstrated in cancer cells and mouse models.137,138 Butyrate, while being the preferred energy source for colonocytes, is poorly metabolized in cancer cells due to the Warburg effect. This leads to cytoplasmic accumulation and subsequent translocation of butyrate into the nucleus where it acts as a HDAC inhibitor and negatively modulates PI3K/Akt and JAK2/STAT signaling pathways, resulting in inhibition of carcinogenesis and increased cancer cell apoptosis.138 Additionally, inhibition of signaling pathways such as NF-κB and HIF-1 by butyrate have been reported to increase anti-cancer immune responses.139 Interestingly, the anti-carcinogenic effect of butyrate is dose-dependent; a lower concentration of the butyrate (0.5–1 mM) promotes growth of non-cancerous colonocytes and apoptosis in cancerous ones, whereas at higher concentrations (greater than 2 mM) it can cause apoptosis in both.140,141 Indeed, butyrate induces proliferation of colonocytes at the cript of the colon, where its concentration is lower, but shows a pro-apoptotic effect closer to the lumen where its concentration increases; this also ensures normal turnover of cells in the intestine.142
Butyrate producers including Eubacterium spp. are decreased in abundance in patients suffering from CRC.143 Indeed, gut microbiomes in CRC patients are less fermentative in nature with significantly decreased abundance of butyrate fermenters from Clostridium cluster XIVa such as Eubacterium sp. and Roseburia sp.; depletion of the butyryl-CoA transferase in CRC subjects have also been reported.136,143 Among Eubacterium spp., E. rectale, E. hallii and E. ventriosum are reported to be significantly reduced in abundance in the gut of individuals with CRC136,143-145 (Table 2). E. ventriosum has been proposed as biomarker for low risk of CRC, with significant enrichment in healthy individuals compared to CRC patients in diverse populations.145 Additionally, butyrate levels in the colon share an inverse relationship with the incidence of CRC.148,149 This can be attributed to gut dysbiosis in patients with CRC, where butyrate-producing capacity of the gut microbiota is significantly reduced.150,151 Such change in gut microbiota can be caused by a consistently lower intake of dietary fibers and consequent-decreased levels of SCFAs, as often observed in individuals with CRC.136 In the absence of butyrate, the intestinal tract can reach a state of chronic inflammation, that contributes to development and progression of CRC.152,153 Such consistent observations suggest there is merit in investigating the use of Eubacterium spp. strains as therapeutic interventions in CRC and related diseases. Indeed, Feng et al. have been granted patent rights for the use various strains of E. ventriosum and E. eligens in treating colitis and/or CRC.154
Table 2.
Case-control studies showing association of Eubacterium spp. with colorectal cancer and atherosclerosis.
Pathology/condition/cohort description | Principal method(s) used | Inferences | Reference |
---|---|---|---|
Colorectal cancer (CRC) | |||
46 CRC patients, aged 42–77 years and 56 healthy volunteers, aged 40–54 years. | 16S rRNA pyrosequencing of the V3 hypervariable region, real-time qPCR | Following trends were observed in CRC patients compared to healthy volunteers: ↓ Bacteroides, Roseburia, Alistipes, Eubacterium, Parasutterella ↑ Porphyromonas, Escherichia/Shigella, Enterococcus, Streptococcus, Peptostreptococcus |
Wang et al.143 |
Gut metagenome datasets from two European studies with a combined 124 healthy control subjects and 99 CRC patients. | In silico study using zero-inflated lognormal models for estimation of relative abundance; diversity and network analysis. | Compared to healthy volunteers, Eubacterium hallii, Anaerostipes hadrus, and Eubacterium ventriosum, Flavonifractor, Catenibacterium and Gardnerella were found to be significantly decreased in CRC patients. | Ai et al.144 |
Three cohorts from China and Denmark with cohort C1 comprised of 128 individuals: 74 patients with CRC and 54 controls; cohort C2 comprised of 156 individuals: 47 patients with CRC and 109 controls. Cohort D comprised of 40 individuals including 16 patients with CRC and 24 control subjects. | Metagenomic shotgun sequencing, qPCR | Cross ethnic examination of metagenomes from CRC individuals identified Eubacterium ventriosum as a biomarker significantly associated against CRC, while Parvimonas micra, Solobacterium moorei and F. nucleatum shown to be consistently associated with it. | Yu et al.145 |
344 Chinese individuals each in healthy control group and advanced colorectal adenoma group | V1-V3 16S rRNA pyrosequencing, qPCR | Genera related to the fermentation of butyrate (Clostridium, Roseburia, and Eubacterium spp.), were significantly lower in the colorectal adenoma group compared to healthy control subjects, whereas the prevalence of Enterococcus, Streptococcus, and Bacteroidetes spp. was significantly higher. |
Chen et al.136 |
Atherosclerosis/Atherosclerotic cardiovascular disease | |||
218 individuals with atherosclerotic cardiovascular disease (ACVD) and 187 healthy control subjects. | Metagenomic shotgun sequencing, Network analysis | Butyrate producing bacteria such as Eubacterium spp. F. prausnitzii and Clostridiales sp. were found to be significantly depleted in ACVD patients. | Jie et al.146 |
12 patients with symptomatic atherosclerotic plaques (who had undergone carotid endarterectomy for minor ischemic stroke, transient ischemic attack or amaurosis fugax) and 13 control subjects without large vulnerable plaques in the carotid arteries. | Metagenomic shotgun sequencing | Butyrate producers Eubacterium and Roseburia were found to be enriched in control subjects while atherosclerotic individuals were enriched in Colinsella. | Karlsson et al.147 |
Recent studies in humans and mice show that butyrate producers in the gut including Eubacterium spp. are negatively associated with atherosclerotic cardiovascular disease (ACVD).146,147,155 Deep analysis of gut metagenomes from atherosclerotic subjects show a depletion of butyrate producers such as Eubacterium spp., Roseburia spp. and F. prausnitzii, compared to healthy individuals146,147 (Table 2). The gut environment in ACVD subjects have consequently been reported to be less fermentative and inflammatory in nature.146 Notably, peptidoglycan (PG) and lipopolysaccharide (LPS) are pro-inflammatory, microbial pathogen-associated molecular patterns (PAMPs) that are recognized as risk factors in cardiovascular diseases (CVDs).156 PG biosynthesis genes are enriched in ACVD metagenomes, which indicates greater peptidoglycan production that can lead to priming of the innate immune system and inflammation.147 PG has also been observed in atherosclerotic plaques, while patients with a high CVD burden exhibit greater risk from circulating endotoxemia.156 Interestingly, network analysis of ACVD gut microbiomes have revealed that microbes enriched in ACVD have a mutually exclusive relationship with butyrate producers including Eubacterium spp., thereby suggesting consistency of dysbiosis in ACVD patients that is represented by a depletion of butyrate producers.146 Indeed, butyrate producers have been proposed to be protective against atherosclerosis.155 In atherosclerotic mice, negative association of Eubacterium spp. and other butyrate producers with plasma cholesterol, MMP-9 and A-FABP (biomarkers for cardiovascular pathologies) have been reported.155 It currently remains unclear if a dysbiotic gut is a read-out of atherosclerotic symptoms or vice-versa. However, since ACVD are manifestations of several factors such as lifestyle, diet and genetics, it is possible that lifestyle and diet may primarily contribute to a dysbiotic microbiota, which in turn may aggravate atherosclerotic development. Depletion of butyrate producers including Eubacterium spp. in the gut leads to reduced barrier integrity and translocation of pro-inflammatory microbial components such as PG and LPS across the intestinal epithelium. Inflammatory responses triggered by TLR4 bound by circulating LPS, primarily through the NF-κB pathway and the subsequent release of pro-inflammatory cytokines such as TNF-α, IL-6, IL-1, and IL-27, promotes the development of atherosclerosis.156 Additionally, nucleotide-binding oligomerization domain-containing protein 1 (NOD1) and NOD2 can bind circulating PG and activate the NF-κB pathway to trigger inflammatory responses. Indeed, NOD1/2 knockouts in murine models have revealed these receptors as critical in maintaining intestinal barrier integrity and development of atherosclerosis.156 Butyrate producers including Eubacterium spp., therefore, may play an important role in the gut-heart axis; they can restore a dysbiotic gut microbiota and modulate inflammation in ACVD subjects and merit further exploration as potential therapeutics.
Transformation of cholesterol by Eubacterium spp. provides protection against cardiovascular diseases
Conversion of cholesterol to coprostanol by intestinal bacteria was first reported in the 1930s and several studies have been carried out since to identify bacteria capable of transforming cholesterol to coprostanol. Many of the identified microbes were eventually assigned to the genus Eubacterium; Eubacterium coprostanoligenes HL (ATCC 51222) represents one such bacteria that was isolated from a hog sewage lagoon and has received considerable attention due to its cholesterol-reducing properties.157 Although subsequently Bacteroides dorei, Lactobacillus sp. and Bifidobacterium sp. have been reported to have cholesterol utilization properties, these seem to be transient properties and may be lost, making E. coprostanoligenes HL the only available culturable gut isolate able to degrade cholesterol.158 The presence of E. coprostanoligenes in the gut microbiota has been strongly associated with fecal coprostanol.158 Recently, 3β-hydroxysteroid dehydrogenase homologs of E. coprostanoligenes have been identified in gut metagenomes that can transform cholesterol to coprostanol.158 Interestingly, these intestinal sterol metabolism A genes (ismA) have been attributed to yet uncultured gut microbes which formed a coherent clade with E. coprostanoligenes in the tree of life and may represent novel Eubacterium species involved in cholesterol reduction in the gut.158 The mechanism of cholesterol to coprostanol conversion has been investigated with three major proposed pathways and Eubacterium spp. have been found to be involved in all of these (Figure 3). The first pathway involves a direct, stereospecific reduction of the 5,6-double bond in cholesterol,159 while the second is an indirect pathway which includes at least three steps. The latter pathway, which has been demonstrated in E. coprostanoligenes HL, requires NADP+ and proceeds through the production of cholestenone and coprostanone intermediates.158–160 An additional third pathway has also been identified which involves isomerization of cholesterol to allocholesterol, which can be reduced to coprostanol by Eubacterium ATCC21-403 and 408 species.161 The final pathway is, however, poorly studied.
Figure 3.
Cholesterol metabolism by Eubacterium coprostanoligenes in the gut. Cholesterol can reach the gut from two sources: endogenous (synthesized in the liver) or exogenous (in the form of dietary uptake). Cholesterol can be reabsorbed from the gut. The cholesterol that is not reabsorbed can be metabolized by Eubacterium coprostanoligenes to coprostanol both directly and indirectly through the intermediate, coprostanone. It can also reduce cholesterol to coprostanol upon epimerization to allocholesterol through a pathway that remains poorly studied. Unlike cholesterol, coprostanol is taken up poorly in the intestine and most of it is excreted in feces, thereby providing a route for cholesterol removal from the gut and systemic circulation.
Nearly one gram of cholesterol from dietary and extra-dietary sources reach the human colon daily, where it is metabolized by commensal gut bacteria to coprostanol. Unlike cholesterol, coprostanol is poorly absorbed in the intestine, and is suggested to have an impact on modulation of cholesterol metabolism and serum cholesterol levels.162 This notion has been reinforced by findings that an inverse relationship exists between plasma cholesterol levels and the ratio of cholesterol to coprostanol in the feces.163 Cholesterol conversion to coprostanol has been therefore considered as a new strategy for management of cholesterol homeostasis in humans. As an extension, Eubacterium spp., which are highly involved in coprostanol metabolism in the gut have been investigated for their hypocholesterolemic effects. Li et al. reported a reduction in the plasma cholesterol levels and an increase in the coprostanol/cholesterol ratios in the digestive contents of hypercholesterolemic rabbits that were fed E. coprostanoligenes.164 The effects observed in these rabbits were further ascribed to cholesterol reduction by E. coprostanoligenes due to its preferential colonization in the jejunum and ileum, both of which are sites for cholesterol absorption. Similar observations have also been reported in germ-free mice.165 Additional results from a combined metabolomic and metagenomic study have identified multiple bacterial phylotypes including Eubacterium eligens ATCC 27750 (p = 1.477e-02) to be significantly correlated to high fecal coprostanol.166
Atherosclerotic cardiovascular diseases (CVDs) are widely recognized as a major public health concern, where key risk factors in their development include an imbalance in blood cholesterol levels and high serum concentrations of low-density lipoprotein cholesterol.167 Indeed, patients with ACVDs have higher cholesterol absorption in the gut.158,168 Notably, changes in the gut microbial community have been directly correlated to the rate of cholesterol converted to coprostanol, while a high efficiency of cholesterol transformation to coprostanol has been linked to a reduced risk of CVDs.158,169,170 Due to their hypocholesterolemic effect, Eubacterium spp. and other cholesterol-reducing microbes can provide protection against CVDs. Indeed, gut Eubacterium spp. in atherosclerotic subjects show a significantly negative correlation with established markers of atherosclerosis such as low-density lipoproteins, cholesterol and white blood cells.147 E. coprostanoligenes were also reduced in the murine gut when mice were fed a methionine-choline diet to induce nonalcoholic steatohepatitis, where damage to the liver inhibits the production of endogenous cholesterol.171 Furthermore, cholesterol-reducing homologs of E. coprostanoligenes 3β-hydroxysteroid dehydrogenase identified in metagenome-assembled genomes from gut metagenomes have been associated with lower levels of serum cholesterol; the ismA genes were also correlated to higher levels of coprostanol and lower levels of cholesterol in stool.158 The reduction of cholesterol to coprostanol still remains poorly understood and only few studies on cholesterol metabolizing bacteria are currently available. Greater investigative investment is necessary to garner a holistic understanding of the molecular mechanisms behind cholesterol-coprostanol metabolism in the gut, including Eubacterium spp., and to perfect hypocholesterolemic strategies.
Eubacterium spp. contribute to gut and hepatic health through modulation of bile acid metabolism
Bile acids (BA) are host-produced metabolites derived from cholesterol in liver pericentral hepatocytes. Cholic acid (CA) and chenodeoxycholic acid (CDCA) are the primary BAs produced in liver which are then conjugated to taurine or glycine before being temporarily stored in the gallbladder; these BAs subsequently undergo postprandial secretion to reach the gut. 95% of the total BA pool in the gut are absorbed efficiently and recycled back to the liver via the portal vein; this cyclic process is known as enterohepatic circulation. The rest serves as a substrate for bacterial metabolism in the gut and constitutes a critical route for cholesterol excretion from the body. BAs can occur in several forms including primary BA, secondary BA, conjugated, or unconjugated. Various members of the gut microbiota are capable of transforming BAs, thereby influencing the composition of the local BA pool along with various other aspects of host physiology. Gut microbes including Eubacterium spp. that possess the enzyme bile salt hydrolase (BSH) are able to hydrolyze the C-24 N-acyl amide bond in conjugated BAs to release glycine/taurine moieties121 (Figure 4). Indeed, Eubacterium spp. along with other genera such as Roseburia and Clostridium constitute a major reservoir of BSHs in the gut.172 Deconjugation increases the pKa of BAs to ~5, thereby making them less soluble which in turn leads to inefficient absorption and replenishment of the lost BA by de novo synthesis from cholesterol.173 Additionally, BSH activity can disrupt micelle formation and absorption, resulting in a significant reduction of cholesterol levels.159 Being reasonably widely distributed in the gut microbiota, BSH activity can thus be modulated to regulate weight gain and cholesterol levels in the host. Deconjugation also helps in bile detoxification through recapture and export of cotransported protons by the free BAs generated, thereby negating the pH.174 Another way intestinal bacteria can transform BAs is through the oxidation and epimerization of hydroxyl groups at C3, C7, and C12 positions, resulting in the generation of isobile (β-hydroxy) salts.175 Epimerization involves the reversible stereochemical change from α to β configuration and vice versa, generating a stable oxo-bile acid intermediate. This process is catalyzed by α- and β-hydroxysteroid dehydrogenases (HSDHs) and can be carried out by a single bacterial species containing both enzymes or through proto-cooperation between two species, with each contributing one enzyme. HSDH activity has been reported in several species including Eubacterium spp.176
Figure 4.
Bile acid (BA) modification by Eubacterium spp. and enterohepatic circulation. BAs are produced from cholesterol in the liver and are continually released into the bile canaliculi via the bile salt export pump (BSEP). The bile canaliculi drain into the gallbladder where BAs are temporarily stored and undergo postprandial release into the gut. Before release into the bile canaliculi, cholic acid (CA) and chenodeoxycholic acid (CDCA), the primary BAs produced in liver hepatocytes, can be conjugated to taurine/glycine moieties to form conjugated BAs (T/G-CA, T/G-CDCA). In the gut, primary BAs can be metabolized by gut bacteria including Eubacterium spp. into diverse secondary forms. BAs can undergo deconjugation to form deconjugated primary BAs and/or hydroxylation reactions to produce secondary BAs such as deoxycholic acid (DCA) and lithocholic acid (LCA). 95% of BAs are reabsorbed in the gut and recycled back to the liver through the portal vein, with conjugated BAs exhibiting highest rates of reabsorption. This circular movement of BAs from liver hepatocytes to the gut and back to the liver is known as the enterohepatic circulation.
Bacterial 7α-dehydroxylases in the gut convert primary BAs, CA and CDCA into deoxycholic acid (DCA) and lithocholic acid (LCA), respectively (Figure 4).173 Although quantitatively, 7α-hydroxylation represents the most important bacterial transformation of BAs in the gut, only few distinct members of the gut microbiota such as Eubacterium and Clostridium XIVa cluster have been reported to be capable of carrying out this reaction.173,177 Studies on Eubacterium strain VPI 12708 have identified enzymes encoded by the bile acid inducible (bai) operon which catalyze a multistep pathway for primary BA 7α-dehyroxylation.178 DCA and LCA produced through 7α-dehyroxylation of primary BAs by Eubacterium spp. can have major impacts on gut health and homeostasis that are manifested primarily through bile acid signaling receptors. Both DCA and LCA are high-affinity ligands for the nuclear hormone receptor, farnesoid X receptor (FXR); activation of intestinal FXR by DCA or LCA upregulates the expression of the fibroblast growth factor 19 (FGF19), which in turn binds to the hepatic fibroblast growth factor receptor 4 (FGFR4) to subsequently downregulate bile acid synthesis in hepatocytes179 (Figure 5). FXR also promotes anti-inflammatory properties, primarily through inhibition of the NF-κB pathway and BA detoxification, through modulation of proliferator-activated receptor α (PPARα).179 FXR activation has also been reported to induce expression of antimicrobial peptides, thereby contributing to control of pathobionts.173,180 TGR5, a GPCR that activates various intracellular pathways upon interaction with BAs, also binds LCA and DCA with the highest affinity in the BA pool (Figure 5). Once activated, TGR5 stimulates the secretion of incretin hormone GLP-1 and insulin, thereby promoting energy expenditure.181 Additionally, TGR5 can modulate inflammatory responses, which can be both pro- or anti-inflammatory in nature; BA-TGR5 signaling plays a critical role in the intricate balance of pro- and anti-inflammatory cytokines in the gut.179 LCA and DCA also bind to the pregnane-X receptor (PXR), Vitamin D3 receptor (VDR) and constitutive androstance receptor (CAR) to variously influence BA homeostasis and BA detoxification.179 The strong affinity of bile acid signaling receptors for microbiota-induced secondary BAs highlight how the gut microbiota including Eubacterium spp. can modulate BA homeostasis, BA detoxification, control and maintenance of bacterial growth in gut, inflammation and glycemic responses through BA signaling. BA metabolism by a healthy gut microbiome also provides protection against C. difficile infection (CDI). DCA, which predominates in feces under healthy conditions compared to CDI subjects, can stimulate germination of C. difficile spores, but importantly, inhibits the vegetative form of Clostridium difficile.182 Dysbiosis of the gut leading to a decrease of secondary BA-producing bacteria and correlated with an increase in fecal primary BAs is permissive to the germination of C. difficile spores culminating in CDI.183,184 Indeed, restoration of gut BSH activity contributes to the efficacy of fecal microbiota transplantation (FMT) therapies in CDI patients.185
Figure 5.
Bile acid (BA) induced signaling pathways influence BA homeostasis and inflammation. BAs in the gut are taken up by enterocytes via the apical sodium-bile acid transporter (ASBT) and bind to the farnesoid X receptor (FXR) which in turn upregulates the expression of the fibroblast growth factor 19 (FGF19). FGF19 can then bind to FGF receptor 4 in hepatocytes to downregulate BA synthesis in liver through the JNK/ERK pathway. Additionally, BAs transported through the portal vein can inhibit BA synthesis in hepatocytes in a FXR-mediated manner by entry through the organic anion transporting polypeptide 1 (OATP1) or sodium-taurocholate cotransporting polypeptide (NTCP) and upregulating the BA synthesis inhibiting transcription factor small heterodimer protein (SHP). FXR can also influence BA homeostasis through the peroxisome proliferator-activated receptor alpha (PPARα). LCA and DCA produced by Eubacterium spp. are high-affinity ligands for TGR5, which upon binding of said BAs can modulate glycemic response, immune response, BA homeostasis and BA detoxification in various tissues.
The gut microbiota, as modulated by diet and other factors can lead to a particular BA profile which in turn has important consequences. A high-fat diet (HFD) such as the Western diet overstimulates BA discharge into the intestine, leading to a dysbiotic gut microbiota and increased secondary BA production, especially LCA and DCA.179 DCA and LCA are the most hydrophobic among the BA pool and elevated levels can be cytotoxic; detrimental effects exerted by DCA and LCA can disrupt the architecture and function of the colonic epithelium through oxidative damage to DNA, triggering of pro-inflammatory responses and increased cell proliferation. In HFD-fed mice, increased LCA/DCA was correlated to an increase in the abundance of Clostridum sordellii, a bacterium from Clostridium cluster XI.186 Surprisingly, Clostridium cluster XIVa to which Eubacterium spp. belongs was reported as a minor contributor, even though they exhibit 7-α hydroxylation properties. Such an observation is consistent specifically for Eubacterium spp., which is negatively modulated by HFDs, as mentioned above. The greater reabsorption of secondary BAs in the intestine resulting from HFDs and subsequent transport to the liver causes hepatic inflammation.179 A reduced FXR signaling due to increased inflammation results in decreased hepatic BA transporter function and increased BA sequestration in the liver; this can establish sustained hepatic inflammation, which can eventually lead to hepatocellular carcinoma (HCC).180 Dysbiosis in liver disorders such as HCC, fatty acid liver disease (FLD), fibrosis and cirrhosis is additionally characterized by an elevation of aerobic, pro-inflammatory, BSH-rich bacteria such as Enterobacter and Enterococcus, which also contribute to an increased production of secondary BAs.150 Indeed, the ratio between primary and secondary BAs in feces and the levels of conjugated and unconjugated BAs in serum are higher in nonalcoholic FLD (NAFLD) patients.187 Eubacterium spp. is consistently found in lower proportions in liver disorders. Metagenomic shotgun sequencing of the gut microbiome of subjects suffering from fibrosis and cirrhosis has revealed a significant reduction of Eubacterium species such as E. rectale, E. hallii and E. eligens compared to healthy individuals146,188-190 (Table 3). These metagenomes also tended to be less fermentative in nature, i.e. displayed lower abundances for fermentative butyrate producers such as Roseburia sp., Faecalibacterium sp. and others, besides Eubacterium spp.146, 179
Table 3.
Case-control studies showing association of Eubacterium spp. with liver diseases.
Pathology/condition/cohort description | Principal method(s) used | Inferences | Reference |
---|---|---|---|
86 patients with biopsy-proven NAFLD: 72 patients had stage 0–2 fibrosis and were classified as mild/moderate NAFLD and 14 patients had stage 3–4 fibrosis and were classified as advanced NAFLD. | Metagenomic shotgun sequencing |
Eubacterium rectale, Ruminococcus obeum CAG: 39, and R. obeum, were significantly lower in advanced fibrosis than mild/moderate NAFLD; E. rectale was the most abundant organism in mild/moderate NAFLD. Indicates possible protective role of E. rectale. |
Loomba et al.188 |
Gut metagenomic datasets from 123 patients with liver cirrhosis (LC) and 114 healthy control subjects. Metagenomes from 47 healthy individuals, 49 compensated, and 46 decompensated cirrhotic patients were finally chosen for meta-omic analysis. | In silico meta-omic analysis | Trends in patients with compensated and decompensated LC compared to healthy subjects: ↓ Eubacterium rectale, Alistipes putredinis, Alistipes shahii, and Coprococcus eutactus ↑ Haemophilus parainfuenzae, Streptococcus salivarius, Lactobacillus salivarius, and Veillonella parvula |
Shao et al.189 |
Gut metagenomes from 98 Chinese LC patients and 83 healthy volunteers. | Metagenomic shotgun sequencing | Veillonella, Streptococcus, Clostridium and Prevotella were enriched in the liver cirrhosis group, while Eubacterium and Alistipes were dominant in the healthy controls. | Qin et al.190 |
Secondary bile acids as produced by the gut microbiota may also play a critical role in the development and establishment of CRC. As mentioned above, butyrate inhibits colorectal carcinogenesis and a marked reduction of butyrate producers in the gut including Eubacterium spp. is commonly observed in patients with CRC. Several butyrate producers including Eubacterium spp., which belong to Clostridium cluster XIVa can additionally produce secondary BAs through 7-α hydroxylation of primary BAs.173 In IBD subjects with chronic inflammation of the gut, significantly lower levels of secondary BAs with concurrently increased fecal-conjugated BAs and a marked decrease of Clostridium cluster XIVa is reported.87,101,173,191 A reduction in secondary BA levels contribute to a loss of the anti-inflammatory effects of secondary BAs on intestinal epithelial cells, thereby enhancing the chronic inflammation.191 Even though the loss of butyrate producers and secondary BA producers in IBD have been made separately, the two groups share significant overlap and both are depleted in chronic inflammation of the gut.87,101,150,173,191 Indeed, a recent bioinformatic analysis of gut metagenomes has revealed significantly decreased populations of butyrate producers F. prausnitzii and E. rectale in IBD patients.192 Understandably, an absence of this group of butyrate and secondary bile acid-producing bacteria that includes Eubacterium spp. promotes the development of IBD and its eventual progression to CRC, where a similar dysbiotic gut microbiome is observed.136,152,153 Indeed, modulation of bile acid profiles and/or gut microbiota are being pursued as novel therapeutic approaches for HCC and CRC.
Eubacterium spp. are involved in critical metabolic transformations in the gut
Metabolic transformations of specific compounds in the gut by the resident microbiota can be critical to human health. Substances can be taken up in the intestine that cannot be detoxified or broken down by the human body and thus, can result in toxicogenic effects. Eubacterium spp. have been shown to be capable of carrying out important metabolic transformations in the gut with positive effects on human health including detoxification of toxic compounds into much more benign forms. Multiple beneficial transformations by E. hallii were recently reported by Fekry et al. In their study, Fekry et al. found E. hallii to be highly proficient in the transformation of a highly abundant food-derived heterocyclic aromatic amine carcinogen – 2-amino-1-methyl-6-phenylimidazo(4,5-b)pyridine (PhIP) into a biologically unavailable form – 7-hydroxy-5-methyl-3-phenyl-6,7,8,9-tetrahydropyrido[3′,2′:4,5]imidazo [1,2-α]pyrimidin-5-ium chloride (PhIP-M1).193 Additionally, PhIP transformations by E. hallii in the presence of simulated proximal and distal colon microbiota led to a 300-fold and 120-fold increase in its abundance, respectively, indicating great potential for use as a protective agent. In the same study, Fekry et al. also observed E. hallii to be capable of metabolizing glycerol to 3-hydroxypropionaldehyde (3-HPA), which exists as reuterin in aqueous solutions. Interestingly, reuterin has been shown to have inhibitory effects against Gram-positive and Gram-negative bacteria, fungi and yeast, possibly through increasing oxidative stress by modulating intracellular glutathione, thereby making it an attractive target for therapeutics.194
In another instance, the transformation of 8-prenylanringenin (8-PN) from isoxanthohumol (IX) by gut microbes was investigated by Possemiers et al.195 8-PN is known as a potent phytoestrogen and has been used to alleviate symptoms of menopause.196 Production of 8-PN from IX, found commonly in hops and beers, has been found to be highly variable between individuals.197 In their study, Possemiers et al. carried out supplementation of E. limosum, a bacterium known to carry out the transformation from IX to 8-PN and found that germ-free rats could indeed be induced by E. limosum to produce greater levels of 8-PN from IX upon transplantation of the microbiota from low 8-PN producing individuals. This probiotic effect of E. limosum requires further investigation if it can be applied to humans, especially with respect to the potential for variations in duration of effect and between individuals in terms of colonization efficiencies and other factors. The metabolic transformations described above add greatly to our understanding of the diverse array of benefits humans derive from gut Eubacterium spp. besides production of SCFAs. However, as highlighted already, further research is necessary to truly exploit all the potential benefits the Eubacterium genus has to offer.
Conclusion
The genus Eubacterium is a phylogenetically diverse group of microbes, a fact that makes associated taxonomic assignments challenging. Regardless, many current and former members of this genus exhibit compelling associations with gut health, and, as a major butyrate producer and core gut microbiota component, are immensely important. In this review, we have discussed how Eubacterium spp. is involved in various aspects of gut health through important contributions in SCFA, cholesterol and bile acid metabolism in the gut; we have also elaborated the phylogenetic characteristics of the genus and how it is modulated in the gut by diet and age. In the process we have outline how Eubacterium spp. play a major role in modulation of inflammation, regulation of immune responses, maintenance of barrier integrity in the gut, moderating glycemic response, and cholesterol homeostasis, among others. Strong correlations with beneficial effects in several clinical conditions have prompted further interest in the genus, with multiple species being considered for commercial endeavors as next generation probiotics/biotherapeutics.154,198-201 Most notably, efforts are underway at Caelus Health, in collaboration with Danish bioscience firm Chr. Hansen, to create oral formulations containing E. hallii strains as a biotherapeutic to reduce insulin resistance in individuals with metabolic syndromes and to prevent the development of T2DM.198 Given that the gut is a highly competitive and functionally non-redundant environment, recurring associations of Eubacterium spp. with positive clinical phenotypes combined with a simultaneous resolution of its modes of action establishes a consensus on its positive influence on human health. However, further studies are required to attribute causality to observed associations, i.e., understanding pathogenesis of clinical conditions with respect to gut microbiota. In what remains a major caveat in gut microbiology research today, our understanding of how much the gut microbiota – across all relevant species – influences a clinical condition and vice versa is still limited. Longitudinal studies with tightly controlled diet regimens where the gut microbiota and relevant health parameters are evaluated over protracted time periods may be necessary to elaborate such causalities. Even then, attribution of causation to specific species may prove to be difficult due to the tightly clustered functional niches in the gut.
A recurring motif suggests that in several clinical conditions, especially metabolic syndromes, diet, lifestyle, and other factors can induce the dysbiosis of the gut microbiota, which in turn creates an undesirable metabolic profile. The change in the effective proportions of these metabolites which, directly or indirectly modulate inflammation, barrier integrity, energy homeostasis, and so on, plays an important role in the development and progression of disease pathogenesis. Given the complexity of the processes involved, host-metabolite-microbiota crosstalk must be approached from a system biology standpoint using technologies such as metagenomics and metabolomics. It may be necessary to study involved components together and not in isolation, with therapeutic solutions aimed at modulation of all these components. To this end, further in vitro and in vivo characterization of Eubacterium spp. at the genomic, metagenomic and eventually at the ecological level is required. This will allow us to better understand how the relatively understudied Eubacterium spp. interacts with other members of the gut microbiome and how they are modulated by host factors and diet. Garnering such an understanding is crucial to the successful control and prevention of clinical conditions using clusters of commensal bacteria producing critical metabolites, as evidenced by Geirnhaert et al.101 Much remains to be understood about the metabolic activities, immunomodulatory influences, and ecological role of Eubacterium spp., both in isolation and in combination, with other potential next-generation health-promoting microorganisms such as Akkermansia muciniphila and F. prausnitzii, to ensure its effective deployment in evidence-based gut therapeutics. However, based on evidence to date, there is a lot of cause for optimism.
Funding Statement
AM is funded by a DAFM grant [Grant no. 15/F/635]. CL is funded by the Teagasc Walsh Fellowship Scheme [Grant no. 2017047] and internal Teagasc RMIS funding. Research in the Cotter laboratory is also funded by Science Foundation Ireland (SFI) under Grant Numbers SFI/12/RC/2273 (APC Microbiome Ireland) and SFI/16/RC/3835 (Vistamilk) and by the European Commission under the Horizon 2020 program under grant number 818368 (MASTER).;
Disclosure of potential conflicts of interest
No potential conflicts of interest were disclosed.
References
- 1.The Integrative HMP (iHMP) Research Network Consortium. The integrative human microbiome project. Nature. 2019;569:641–28.doi:10.1038/s41586-019-1238-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Bäckhed F, Ley RE, Sonnenburg JL, Peterson DA, Gordon JI.. Host-bacterial mutualism in the human intestine. science. 2005;307:1915–1920. doi: 10.1126/science.1104816. [DOI] [PubMed] [Google Scholar]
- 3.Brunkwall L, Orho-Melander M. The gut microbiome as a target for prevention and treatment of hyperglycaemia in type 2 diabetes: from current human evidence to future possibilities. Diabetologia. 2017;60:943–951. doi: 10.1007/s00125-017-4278-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Douillard FP, de Vos WM. Biotechnology of health-promoting bacteria. Biotechnol Adv. 2019. doi: 10.1016/j.biotechadv.2019.03.008. [DOI] [PubMed] [Google Scholar]
- 5.Wade WG. The genus Eubacterium and related genera. Prokaryotes. 2006;4:823–835. [Google Scholar]
- 6.Ayeni FA, Biagi E, Rampelli S, Fiori J, Soverini M, Audu HJ, Cristino S, Caporali L, Schnorr SL, Carelli V, et al. Infant and adult gut microbiome and metabolome in rural bassa and urban settlers from Nigeria. Cell Rep. 2018;23(10):3056–3067. doi: 10.1016/j.celrep.2018.05.018. [DOI] [PubMed] [Google Scholar]
- 7.Gomez A, Petrzelkova KJ, Burns MB, Yeoman CJ, Amato KR, Vlckova K, Modry D, Todd A, Jost Robinson C, Remis M, et al. Gut microbiome of coexisting BaAka pygmies and bantu reflects gradients of traditional subsistence patterns. Cell Rep. 2016;14(9):2142–2153. doi: 10.1016/j.celrep.2016.02.013. [DOI] [PubMed] [Google Scholar]
- 8.Barrett HL, Gomez-Arango LF, Wilkinson SA, McIntyre HD, Callaway LK, Morrison M, Dekker Nitert M. A vegetarian diet is a major determinant of gut microbiota composition in early pregnancy. Nutrients. 2018;10(7):890. doi: 10.3390/nu10070890. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Mueller S, Saunier K, Hanisch C, Norin E, Alm L, Midtvedt T, Cresci A, Silvi S, Orpianesi C, Verdenelli MC. Differences in fecal microbiota in different European study populations in relation to age, gender, and country: a cross-sectional study. Appl Environ Microbiol. 2006;72(2):1027–1033. doi: 10.1128/AEM.72.2.1027-1033.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Das B, Ghosh TS, Kedia S, Rampal R, Saxena S, Bag S, Mitra R, Dayal M, Mehta O, Surendranath A, et al. Analysis of the gut microbiome of rural and urban healthy indians living in sea level and high altitude areas. Sci Rep. 2018;8(1):10104. doi: 10.1038/s41598-018-28550-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Obregon-Tito AJ, Tito RY, Metcalf J, Sankaranarayanan K, Clemente JC, Ursell LK, Zech Xu Z, Van Treuren W, Knight R, Gaffney PM, et al. Subsistence strategies in traditional societies distinguish gut microbiomes. Nat Commun. 2015;6(1):6505. doi: 10.1038/ncomms7505. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Escobar JS, Klotz B, Valdes BE, Agudelo GM. The gut microbiota of Colombians differs from that of Americans, Europeans and Asians. BMC Microbiol. 2014;14:311. doi: 10.1186/s12866-014-0311-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Yassour M, Lim MY, Yun HS, Tickle TL, Sung J, Song Y-M, Lee K, Franzosa EA, Morgan XC, Gevers D, et al. Sub-clinical detection of gut microbial biomarkers of obesity and type 2 diabetes. Genome Med. 2016;8(1):17. doi: 10.1186/s13073-016-0271-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Jones RB, Alderete TL, Kim JS, Millstein J, Gilliland FD, Goran MI. High intake of dietary fructose in overweight/obese teenagers associated with depletion of Eubacterium and Streptococcus in gut microbiome. Gut Microbes. 2019;10:712–719. doi: 10.1080/19490976.2019.1592420. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Turpin W, Espin-Garcia O, Xu W, Silverberg MS, Kevans D, Smith MI, Guttman DS, Griffiths A, Panaccione R, Otley A, et al. Association of host genome with intestinal microbial composition in a large healthy cohort. Nat Genet. 2016;48(11):1413–1417. doi: 10.1038/ng.3693. [DOI] [PubMed] [Google Scholar]
- 16.Almeida A, Mitchell AL, Boland M, Forster SC, Gloor GB, Tarkowska A, Lawley TD, Finn RD. A new genomic blueprint of the human gut microbiota. Nature. 2019;568(7753):499–504. doi: 10.1038/s41586-019-0965-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Karcher N, Pasolli E, Asnicar F, Huang KD, Tett A, Manara S, Armanini F, Bain D, Duncan SH, Louis P. Analysis of 1321 Eubacterium rectale genomes from metagenomes uncovers complex phylogeographic population structure and subspecies functional adaptations. Genome Biol. 2020;21:138. doi: 10.1186/s13059-020-02042-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Gibson GR, Hutkins R, Sanders ME, Prescott SL, Reimer RA, Salminen SJ, Scott K, Stanton C, Swanson KS, Cani PD, et al. Expert consensus document: the International Scientific Association for Probiotics and Prebiotics (ISAPP) consensus statement on the definition and scope of prebiotics. Nat Rev Gastroenterol Hepatol. 2017;14(8):491–502. doi: 10.1038/nrgastro.2017.75. [DOI] [PubMed] [Google Scholar]
- 19.Wade WG. Eubacterium. In: Trujillo ME, Dedysh S, DeVos P, Hedlund B, Kämpfer P, Rainey FA, Whitman WB, editors. Bergey’s manual of systematics of archaea and bacteria. Hoboken (NJ): Wiley; 2015. p. 1–36. [Google Scholar]
- 20.Chaumeil P-A, Mussig AJ, Hugenholtz P, Parks DH. GTDB-Tk: a toolkit to classify genomes with the Genome Taxonomy Database. Bioinformatics. 2019. doi: 10.1093/bioinformatics/btz848. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Katoh K, Misawa K, Kuma K-I, Miyata T. MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform. Nucleic Acids Res. 2002;30:3059–3066. doi: 10.1093/nar/gkf436. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Nguyen L-T, Schmidt HA, von Haeseler A, Minh BQ. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol. 2015;32:268–274. doi: 10.1093/molbev/msu300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Letunic I, Bork P. Interactive tree of life (iTOL) v3: an online tool for the display and annotation of phylogenetic and other trees. Nucleic Acids Res. 2016;44:W242–W5. doi: 10.1093/nar/gkw290. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Nakazawa F, Sato M, Poco SE, Hashimura T, Ikeda T, Kalfas S, Sundqvist G, Hoshino E. Description of Mogibacterium pumilum gen. nov., sp. nov. and Mogibacterium vescum gen. nov., sp. nov., and reclassification of Eubacterium timidum (Holdeman et al. 1980) as Mogibacterium timidum gen. nov., comb. nov. Int J Syst Evol Microbiol. 2000;50:679–688. doi: 10.1099/00207713-50-2-679. [DOI] [PubMed] [Google Scholar]
- 25.Taras D, Simmering R, Collins MD, Lawson PA, Blaut M. Reclassification of Eubacterium formicigenerans Holdeman and Moore 1974 as Dorea formicigenerans gen. nov., comb. nov., and description of Dorea longicatena sp. nov., isolated from human faeces. Int J Syst Evol Microbiol. 2002;52:423–428. doi: 10.1099/00207713-52-2-423. [DOI] [PubMed] [Google Scholar]
- 26.HOFSTAD T, AASJORD P. Eubacterium plautii (Séguin 1928) comb. nov. Int J Syst Evol Microbiol. 1982;32:346–349. [DOI] [PubMed] [Google Scholar]
- 27.Willems A, Collins MD. Phylogenetic relationships of the genera acetobacterium and eubacterium sensu stricto and reclassification of eubacterium alactolyticum as pseudoramibacter alactolyticus gen. nov., comb. nov. Int J Syst Evol Microbiol. 1996;46:1083–1087. [DOI] [PubMed] [Google Scholar]
- 28.Duncan SH, Hold GL, Barcenilla A, Stewart CS, Flint HJ. Roseburia intestinalis sp. nov., a novel saccharolytic, butyrate-producing bacterium from human faeces. Int J Syst Evol Microbiol. 2002;52:1615–1620. doi: 10.1099/00207713-52-5-1615. [DOI] [PubMed] [Google Scholar]
- 29.Shetty SA, Zuffa S, Bui TPN, Aalvink S, Smidt H, De Vos WM. Reclassification of Eubacterium hallii as Anaerobutyricum hallii gen. nov., comb. nov., and description of Anaerobutyricum soehngenii sp. nov., a butyrate and propionate-producing bacterium from infant faeces. Int J Syst Evol Microbiol. 2018;68:3741–3746. doi: 10.1099/ijsem.0.003041. [DOI] [PubMed] [Google Scholar]
- 30.Allen-Vercoe E, Daigneault M, White A, Panaccione R, Duncan SH, Flint HJ, O’Neal L, Lawson PA. Anaerostipes hadrus comb. nov., a dominant species within the human colonic microbiota; reclassification of Eubacterium hadrum Moore et al. 1976. Anaerobe. 2012;18:523–529. doi: 10.1016/j.anaerobe.2012.09.002. [DOI] [PubMed] [Google Scholar]
- 31.Rosero JA, Jí K, Sechovcová H, Mrázek J, Benada O, Fliegerová K, Havlík J, Kopečný J. Reclassification of Eubacterium rectale (Hauduroy et al. 1937) Prévot 1938 in a new genus Agathobacter gen. nov. as Agathobacter rectalis comb. nov., and description of Agathobacter ruminis sp. nov., isolated from the rumen contents of sheep and cows. Int J Syst Evol Microbiol. 2016;66:768–773. doi: 10.1099/ijsem.0.000788. [DOI] [PubMed] [Google Scholar]
- 32.Sheridan PO, Duncan SH, Walker AW, Scott KP, Louis P, Flint HJ. Objections to the proposed reclassification of Eubacterium rectale as Agathobacter rectalis. Int J Syst Evol Microbiol. 2016;66:2106. doi: 10.1099/ijsem.0.000969. [DOI] [PubMed] [Google Scholar]
- 33.Parks DH, Chuvochina M, Waite DW, Rinke C, Skarshewski A, Chaumeil P-A, Hugenholtz P. A standardized bacterial taxonomy based on genome phylogeny substantially revises the tree of life. Nat Biotechnol. 2018;36(10):996–1004. doi: 10.1038/nbt.4229. [DOI] [PubMed] [Google Scholar]
- 34.Duncan SH, Belenguer A, Holtrop G, Johnstone AM, Flint HJ, Lobley GE. Reduced dietary intake of carbohydrates by obese subjects results in decreased concentrations of butyrate and butyrate-producing bacteria in feces. Appl Environ Microbiol. 2007;73:1073–1078. doi: 10.1128/AEM.02340-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Scott KP, Martin JC, Duncan SH, Flint HJ. Prebiotic stimulation of human colonic butyrate-producing bacteria and bifidobacteria, in vitro. FEMS Microbiol Ecol. 2014;87:30–40. doi: 10.1111/1574-6941.12186. [DOI] [PubMed] [Google Scholar]
- 36.Cockburn DW, Orlovsky NI, Foley MH, Kwiatkowski KJ, Bahr CM, Maynard M, Demeler B, Koropatkin NM. Molecular details of a starch utilization pathway in the human gut symbiont Eubacterium rectale. Mol Microbiol. 2015;95:209–230. doi: 10.1111/mmi.12859. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Sheridan PO, Martin JC, Lawley TD, Browne HP, Harris HMB, Bernalier-Donadille A, Duncan SH, O'Toole PW, Scott KP, Flint HJ. Polysaccharide utilization loci and nutritional specialization in a dominant group of butyrate-producing human colonic Firmicutes. Microb Genom. 2016;2:e000043. doi:10.1099/mgen.0.000043 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Wu GD, Chen J, Hoffmann C, Bittinger K, Chen -Y-Y, Keilbaugh SA, Bewtra M, Knights D, Walters WA, Knight R, et al. Linking long-term dietary patterns with gut microbial enterotypes. Science (New York, NY). 2011;334(6052):105–108. doi: 10.1126/science.1208344. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Araújo JR, Tomas J, Brenner C, Sansonetti PJ. Impact of high-fat diet on the intestinal microbiota and small intestinal physiology before and after the onset of obesity. Biochimie. 2017;141:97–106. doi: 10.1016/j.biochi.2017.05.019. [DOI] [PubMed] [Google Scholar]
- 40.Moreira APB, Texeira TFS, Ferreira AB, Do Carmo Gouveia Peluzio M, de Cássia Gonçalves Alfenas R. Influence of a high-fat diet on gut microbiota, intestinal permeability and metabolic endotoxaemia. Br J Nutr. 2012;108:801–809. doi: 10.1017/S0007114512001213. [DOI] [PubMed] [Google Scholar]
- 41.Khemayanto H, Shi B. Role of mediterranean diet in prevention and management of type 2 diabetes. Chin Med J (Engl). 2014;127:3651–3656. [PubMed] [Google Scholar]
- 42.Ghosh TS, Rampelli S, Jeffery IB, Santoro A, Neto M, Capri M, Giampieri E, Jennings A, Candela M, Turroni S, et al. Mediterranean diet intervention alters the gut microbiome in older people reducing frailty and improving health status: the NU-AGE 1-year dietary intervention across five European countries. Gut. 2020. gutjnl-2019-319654. doi: 10.1136/gutjnl-2019-319654. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Noriega BS, Sanchez-Gonzalez MA, Salyakina D, Coffman J. Understanding the impact of Omega-3 rich diet on the gut microbiota. Case Rep Med. 2016;2016:3089303. doi: 10.1155/2016/3089303. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.O’Toole PW, Jeffery IB. Gut microbiota and aging. Science. 2015;350:1214–1215. doi: 10.1126/science.aac8469. [DOI] [PubMed] [Google Scholar]
- 45.Shoaie S, Ghaffari P, Kovatcheva-Datchary P, Mardinoglu A, Sen P, Pujos-Guillot E, de Wouters T, Juste C, Rizkalla S, Chilloux J, et al. Quantifying diet-induced metabolic changes of the human gut microbiome. Cell Metab. 2015;22(2):320–331. doi: 10.1016/j.cmet.2015.07.001. [DOI] [PubMed] [Google Scholar]
- 46.Schiffrin EJ, Morley JE, Donnet-Hughes A, Guigoz Y. The inflammatory status of the elderly: the intestinal contribution. Mutat Res. 2010;690:50–56. doi: 10.1016/j.mrfmmm.2009.07.011. [DOI] [PubMed] [Google Scholar]
- 47.Magrone T, Jirillo E. The interaction between gut microbiota and age-related changes in immune function and inflammation. Immun Ageing. 2013;10:31. doi: 10.1186/1742-4933-10-31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Biagi E, Candela M, Turroni S, Garagnani P, Franceschi C, Brigidi P. Ageing and gut microbes: perspectives for health maintenance and longevity. Pharmacol Res. 2013;69:11–20. doi: 10.1016/j.phrs.2012.10.005. [DOI] [PubMed] [Google Scholar]
- 49.Maynard CL, Weaver CT. Intestinal effector T cells in health and disease. Immunity. 2009;31:389–400. doi: 10.1016/j.immuni.2009.08.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Biagi E, Nylund L, Candela M, Ostan R, Bucci L, Pini E, Nikkïla J, Monti D, Satokari R, Franceschi C, et al. Through ageing, and beyond: gut microbiota and inflammatory status in seniors and centenarians. PloS One. 2010;5(5):e10667–e. doi: 10.1371/journal.pone.0010667. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Galkin F, Aliper A, Putin E, Kuznetsov I, Gladyshev VN, Zhavoronkov A. Human microbiome aging clocks based on deep learning and tandem of permutation feature importance and accumulated local effects. bioRxiv. 2018;507780. doi:10.1101/507780 [Google Scholar]
- 52.Odamaki T, Kato K, Sugahara H, Hashikura N, Takahashi S, Xiao J-Z, Abe F, Osawa R. Age-related changes in gut microbiota composition from newborn to centenarian: a cross-sectional study. BMC Microbiol. 2016;16(1):90. doi: 10.1186/s12866-016-0708-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.El Kaoutari A, Armougom F, Gordon JI, Raoult D, Henrissat B. The abundance and variety of carbohydrate-active enzymes in the human gut microbiota. Nat Rev Microbiol. 2013;11:497–504. doi: 10.1038/nrmicro3050. [DOI] [PubMed] [Google Scholar]
- 54.Chassard C, Lacroix C. Carbohydrates and the human gut microbiota. Curr Opin Clin Nutr Metab Care. 2013;16:453–460. doi: 10.1097/MCO.0b013e3283619e63. [DOI] [PubMed] [Google Scholar]
- 55.Topping DL, Clifton PM . Short-chain fatty acids and human colonic function: roles of resistant starch and nonstarch polysaccharides. Physiol Rev. 2001;81:1031–1064. doi: 10.1152/physrev.2001.81.3.1031. [DOI] [PubMed] [Google Scholar]
- 56.Jakobsdottir G, Xu J, Molin G, Ahrné S, Nyman M. High-fat diet reduces the formation of butyrate, but increases succinate, inflammation, liver fat and cholesterol in rats, while dietary fibre counteracts these effects. PLoS One. 2013;8:e80476. doi: 10.1371/journal.pone.0080476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Louis P, Flint HJ. Formation of propionate and butyrate by the human colonic microbiota. Environ Microbiol. 2017;19:29–41. doi: 10.1111/1462-2920.13589. [DOI] [PubMed] [Google Scholar]
- 58.Moore WE, Holdeman LV. Human fecal flora: the normal flora of 20 Japanese-Hawaiians. Appl Microbiol. 1974;27:961–979. doi: 10.1128/AEM.27.5.961-979.1974. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Barcenilla A, Pryde SE, Martin JC, Duncan SH, Stewart CS, Henderson C, Flint HJ. Phylogenetic relationships of butyrate-producing bacteria from the human gut. Appl Environ Microbiol. 2000;66:1654–1661. doi: 10.1128/AEM.66.4.1654-1661.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Louis P, Flint HJ. Diversity, metabolism and microbial ecology of butyrate-producing bacteria from the human large intestine. FEMS Microbiol Lett. 2009;294:1–8. doi: 10.1111/j.1574-6968.2009.01514.x. [DOI] [PubMed] [Google Scholar]
- 61.Walker AW, Ince J, Duncan SH, Webster LM, Holtrop G, Ze X, Brown D, Stares MD, Scott P, Bergerat A, et al. Dominant and diet-responsive groups of bacteria within the human colonic microbiota. Isme J. 2011;5(2):220–230. doi: 10.1038/ismej.2010.118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Louis P, Young P, Holtrop G, Flint HJ. Diversity of human colonic butyrate-producing bacteria revealed by analysis of the butyryl-CoA: acetateCoA-transferase gene. Environ Microbiol. 2010;12:304–314. doi: 10.1111/j.1462-2920.2009.02066.x. [DOI] [PubMed] [Google Scholar]
- 63.Pham VT, Lacroix C, Braegger CP, Chassard C. Early colonization of functional groups of microbes in the infant gut. Environ Microbiol. 2016;18:2246–2258. doi: 10.1111/1462-2920.13316. [DOI] [PubMed] [Google Scholar]
- 64.Engels C, Ruscheweyh H-J, Beerenwinkel N, Lacroix C, Schwab C. The common gut microbe eubacterium hallii also contributes to intestinal propionate formation. Front Microbiol. 2016;7:713. doi: 10.3389/fmicb.2016.00713. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Gänzle MG. Lactic metabolism revisited: metabolism of lactic acid bacteria in food fermentations and food spoilage. Curr Opin Food Sci. 2015;2:106–117. [Google Scholar]
- 66.Chowdhury C, Sinha S, Chun S, Yeates TO, Bobik TA. Diverse bacterial microcompartment organelles. Microbiol Mol Biol Rev. 2014;78:438–468. doi: 10.1128/MMBR.00009-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Rivière A, Gagnon M, Weckx S, Roy D, De Vuyst L. mutual cross-feeding interactions between bifidobacterium longum subsp. longum NCC2705 and Eubacterium rectale ATCC 33656 explain the bifidogenic and butyrogenic effects of arabinoxylan oligosaccharides. Appl Environ Microbiol. 2015;81:7767–7781. doi: 10.1128/AEM.02089-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Kanauchi O, Fujiyama Y, Mitsuyama K, Araki Y, Ishii T, Nakamura T, Hitomi Y, Agata K, Saiki T, Andoh A, et al. Increased growth of Bifidobacterium and Eubacterium by germinated barley foodstuff, accompanied by enhanced butyrate production in healthy volunteers. Int J Mol Med. 1999;3:175–179. doi: 10.3892/ijmm.3.2.175. [DOI] [PubMed] [Google Scholar]
- 69.Schwab C, Ruscheweyh H-J, Bunesova V, Pham VT, Beerenwinkel N, Lacroix C. Trophic interactions of infant bifidobacteria and eubacterium hallii during L-fucose and fucosyllactose degradation. Front Microbiol. 2017;8:95. doi: 10.3389/fmicb.2017.00095. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Guilloteau P, Martin L, Eeckhaut V, Ducatelle R, Zabielski R, Van Immerseel F. From the gut to the peripheral tissues: the multiple effects of butyrate. Nutr Res Rev. 2010;23:366–384. doi: 10.1017/S0954422410000247. [DOI] [PubMed] [Google Scholar]
- 71.Chen J, Li Y, Tian Y, Huang C, Li D, Zhong Q, Ma X. Interaction between microbes and host intestinal health: modulation by dietary nutrients and gut-brain-endocrine-immune axis. Curr Protein Pept Sci. 2015;16:592–603. doi: 10.2174/1389203716666150630135720. [DOI] [PubMed] [Google Scholar]
- 72.Van den Abbeele P, Belzer C, Goossens M, Kleerebezem M, De Vos WM, Thas O, De Weirdt R, Kerckhof F-M, Van de Wiele T. Butyrate-producing Clostridium cluster XIVa species specifically colonize mucins in an in vitro gut model. Isme J. 2013;7(5):949–961. doi: 10.1038/ismej.2012.158. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Willemsen LE, Koetsier MA, van Deventer SJ, van Tol EA. Short chain fatty acids stimulate epithelial mucin 2 expression through differential effects on prostaglandin E(1) and E(2) production by intestinal myofibroblasts. Gut. 2003;52:1442–1447. doi: 10.1136/gut.52.10.1442. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Wang HB, Wang PY, Wang X, Wan YL, Liu YC. Butyrate enhances intestinal epithelial barrier function via up-regulation of tight junction protein Claudin-1 transcription. Dig Dis Sci. 2012;57:3126–3135. doi: 10.1007/s10620-012-2259-4. [DOI] [PubMed] [Google Scholar]
- 75.Corrêa-Oliveira R, Fachi JL, Vieira A, Sato FT, Vinolo MAR. Regulation of immune cell function by short-chain fatty acids. Clin Trans Immunol. 2016;5:e73–e. doi: 10.1038/cti.2016.17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Liu H, Wang J, He T, Becker S, Zhang G, Li D, Ma X. Butyrate: A double-edged sword for health? Adv Nutr (Bethesda, Md). 2018;9(1):21–29. doi: 10.1093/advances/nmx009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Mowat AM, Agace WW. Regional specialization within the intestinal immune system. Nat Rev Immunol. 2014;14:667–685. doi: 10.1038/nri3738. [DOI] [PubMed] [Google Scholar]
- 78.Singh N, Gurav A, Sivaprakasam S, Brady E, Padia R, Shi H, Thangaraju M, Prasad P, Manicassamy S, Munn D, et al. Activation of Gpr109a, receptor for niacin and the commensal metabolite butyrate, suppresses colonic inflammation and carcinogenesis. Immunity. 2014;40(1):128–139. doi: 10.1016/j.immuni.2013.12.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Macia L, Tan J, Vieira AT, Leach K, Stanley D, Luong S, Maruya M, Ian McKenzie C, Hijikata A, Wong C, et al. Metabolite-sensing receptors GPR43 and GPR109A facilitate dietary fibre-induced gut homeostasis through regulation of the inflammasome. Nat Commun. 2015;6(1):6734. doi: 10.1038/ncomms7734. [DOI] [PubMed] [Google Scholar]
- 80.Iraporda C, Errea A, Romanin DE, Cayet D, Pereyra E, Pignataro O, Sirard JC, Garrote GL, Abraham AG, Rumbo M, et al. Lactate and short chain fatty acids produced by microbial fermentation downregulate proinflammatory responses in intestinal epithelial cells and myeloid cells. Immunobiology. 2015;220(10):1161–1169. doi: 10.1016/j.imbio.2015.06.004. [DOI] [PubMed] [Google Scholar]
- 81.Sunkara LT, Jiang W, Zhang G. Modulation of antimicrobial host defense peptide gene expression by free fatty acids. Plos One. 2012;7:e49558. doi: 10.1371/journal.pone.0049558. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Puddu A, Sanguineti R, Montecucco F, Viviani GL. Evidence for the gut microbiota short-chain fatty acids as key pathophysiological molecules improving diabetes. Mediators Inflamm. 2014;2014:162021. doi: 10.1155/2014/162021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Nagao-Kitamoto H, Kamada N. Host-microbial cross-talk in inflammatory bowel disease. Immune Netw. 2017;17:1–12. doi: 10.4110/in.2017.17.1.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Kang S, Denman SE, Morrison M, Yu Z, Dore J, Leclerc M, McSweeney CS. Dysbiosis of fecal microbiota in Crohn’s disease patients as revealed by a custom phylogenetic microarray. Inflamm Bowel Dis. 2010;16:2034–2042. doi: 10.1002/ibd.21319. [DOI] [PubMed] [Google Scholar]
- 85.El Mouzan MI, Winter HS, Assiri AA, Korolev KS, Al Sarkhy AA, Dowd SE, Al Mofarreh MA, Menon R. Microbiota profile in new-onset pediatric Crohn’s disease: data from a non-Western population. Gut Pathog. 2018;10(1):49. doi: 10.1186/s13099-018-0276-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Knoll RL, Forslund K, Kultima JR, Meyer CU, Kullmer U, Sunagawa S, Bork P, Gehring S. Gut microbiota differs between children with inflammatory bowel disease and healthy siblings in taxonomic and functional composition: a metagenomic analysis. Am J Physiol Gastrointest Liver Physiol. 2017;312(4):G327–G39. doi: 10.1152/ajpgi.00293.2016. [DOI] [PubMed] [Google Scholar]
- 87.Vermeiren J, Van den Abbeele P, Laukens D, Vigsnaes LK, De Vos M, Boon N, Wiele T. Decreased colonization of fecal Clostridium coccoides/Eubacterium rectale species from ulcerative colitis patients in an in vitro dynamic gut model with mucin environment. FEMS Microbiol Ecol. 2012;79(3):685–696. doi: 10.1111/j.1574-6941.2011.01252.x. [DOI] [PubMed] [Google Scholar]
- 88.Maukonen J, Kolho K-L, Paasela M, Honkanen J, Klemetti P, Vaarala O, Saarela M. Altered fecal microbiota in paediatric inflammatory bowel disease. J Crohns Colitis. 2015;9(12):1088–1095. doi: 10.1093/ecco-jcc/jjv147. [DOI] [PubMed] [Google Scholar]
- 89.Hirano A, Umeno J, Okamoto Y, Shibata H, Ogura Y, Moriyama T, Torisu T, Fujioka S, Fuyuno Y, Kawarabayasi Y, et al. Comparison of the microbial community structure between inflamed and non-inflamed sites in patients with ulcerative colitis. J Gastroenterol Hepatol. 2018;33(9):1590–1597. doi: 10.1111/jgh.14129. [DOI] [PubMed] [Google Scholar]
- 90.Kolho K-L, Korpela K, Jaakkola T, Pichai MVA, Zoetendal EG, Salonen A, de Vos WM. Fecal microbiota in pediatric inflammatory bowel disease and its relation to inflammation. Am J Gastroenterol. 2015;110(6):921–930. doi: 10.1038/ajg.2015.149. [DOI] [PubMed] [Google Scholar]
- 91.Ott S, Musfeldt M, Wenderoth D, Hampe J, Brant O, Fölsch U, Timmis KN, Schreiber S. Reduction in diversity of the colonic mucosa associated bacterial microflora in patients with active inflammatory bowel disease. Gut. 2004;53:685–693. doi: 10.1136/gut.2003.025403. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.de Meij TGJ, de Groot EFJ, Peeters CFW, de Boer NKH, Kneepkens CMF, Eck A, Benninga MA, Savelkoul PHM, van Bodegraven AA, Budding AE, et al. Variability of core microbiota in newly diagnosed treatment-naïve paediatric inflammatory bowel disease patients. PloS One. 2018;13(8):e0197649–e. doi: 10.1371/journal.pone.0197649. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Rojas-Feria M, Romero-García T, Fernández Caballero-Rico JÁ, Pastor Ramírez H, Avilés-Recio M, Castro-Fernandez M, Chueca Porcuna N, Romero-Gόmez M, García F, Grande L, et al. Modulation of faecal metagenome in Crohn’s disease: role of microRNAs as biomarkers. World J Gastroenterol. 2018;24(46):5223–5233. doi: 10.3748/wjg.v24.i46.5223. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Gevers D, Kugathasan S, Denson LA, Vázquez-Baeza Y, Van Treuren W, Ren B, Schwager E, Knights D, Song S, Yassour M, et al. The treatment-naive microbiome in new-onset Crohn’s disease. Cell Host Microbe. 2014;15(3):382–392. doi: 10.1016/j.chom.2014.02.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Vester-Andersen MK, Mirsepasi-Lauridsen HC, Prosberg MV, Mortensen CO, Träger C, Skovsen K, Thorkilgaard T, Nøjgaard C, Vind I, Krogfelt KA, et al. Increased abundance of proteobacteria in aggressive Crohn’s disease seven years after diagnosis. Sci Rep. 2019;9(1):13473. doi: 10.1038/s41598-019-49833-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Pei L-Y, Ke Y-S, Zhao -H-H, Wang L, Jia C, Liu W-Z, Fu Q-H, Shi M-N, Cui J, Li S-C, et al. Role of colonic microbiota in the pathogenesis of ulcerative colitis. BMC Gastroenterol. 2019;19(1):10. doi: 10.1186/s12876-019-0930-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Mottawea W, Chiang C-K, Mühlbauer M, Starr AE, Butcher J, Abujamel T, Deeke SA, Brandel A, Zhou H, Shokralla S, et al. Altered intestinal microbiota-host mitochondria crosstalk in new onset Crohn’s disease. Nat Commun. 2016;7:13419. doi: 10.1038/ncomms13419. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Marchesi JR, Holmes E, Khan F, Kochhar S, Scanlan P, Shanahan F, Wilson ID, Wang Y. Rapid and noninvasive metabonomic characterization of inflammatory bowel disease. J Proteome Res. 2007;6(2):546–551. doi: 10.1021/pr060470d. [DOI] [PubMed] [Google Scholar]
- 99.Vital M, Penton CR, Wang Q, Young VB, Antonopoulos DA, Sogin ML, Morrison HG, Raffals L, Chang EB, Huffnagle GB, et al. A gene-targeted approach to investigate the intestinal butyrate-producing bacterial community. Microbiome. 2013;1:8. doi: 10.1186/2049-2618-1-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Frank DN, Amand ALS, Feldman RA, Boedeker EC, Harpaz N, Pace NR. Molecular-phylogenetic characterization of microbial community imbalances in human inflammatory bowel diseases. Proc Natl Acad Sci USA. 2007;104:13780–13785. doi: 10.1073/pnas.0706625104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Geirnaert A, Calatayud M, Grootaert C, Laukens D, Devriese S, Smagghe G, De Vos M, Boon N, Van de Wiele T. Butyrate-producing bacteria supplemented in vitro to Crohn’s disease patient microbiota increased butyrate production and enhanced intestinal epithelial barrier integrity. Sci Rep. 2017;7(1):11450. doi: 10.1038/s41598-017-11734-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Kanauchi O, Fukuda M, Matsumoto Y, Ishii S, Ozawa T, Shimizu M, Mitsuyama K, Andoh A. Eubacterium limosum ameliorates experimental colitis and metabolite of microbe attenuates colonic inflammatory action with increase of mucosal integrity. World J Gastroenterol. 2006;12:1071–1077. doi: 10.3748/wjg.v12.i7.1071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Verdam FJ, Fuentes S, de Jonge C, Zoetendal EG, Erbil R, Greve JW, Buurman WA, de Vos WM, Rensen SS. Human intestinal microbiota composition is associated with local and systemic inflammation in obesity. Obesity (Silver Spring). 2013;21(12):E607–E15. doi: 10.1002/oby.20466. [DOI] [PubMed] [Google Scholar]
- 104.Kasai C, Sugimoto K, Moritani I, Tanaka J, Oya Y, Inoue H, TAMEDA M, SHIRAKI K, ITO M, TAKEI Y, et al. Comparison of human gut microbiota in control subjects and patients with colorectal carcinoma in adenoma: terminal restriction fragment length polymorphism and next-generation sequencing analyses. Oncol Rep. 2016;35(1):325–333. doi: 10.3892/or.2015.4398. [DOI] [PubMed] [Google Scholar]
- 105.Munukka E, Wiklund P, Pekkala S, Völgyi E, Xu L, Cheng S, Lyytikäinen A, Marjomäki V, Alen M, Vaahtovuo J, et al. Women with and without metabolic disorder differ in their gut microbiota composition. Obesity (Silver Spring). 2012;20(5):1082–1087. doi: 10.1038/oby.2012.8. [DOI] [PubMed] [Google Scholar]
- 106.Simões CD, Maukonen J, Kaprio J, Rissanen A, Pietiläinen KH, Saarela M. Habitual dietary intake is associated with stool microbiota composition in monozygotic twins. J Nutr. 2013;143:417–423. doi: 10.3945/jn.112.166322. [DOI] [PubMed] [Google Scholar]
- 107.Sepp E, Lõivukene K, Julge K, Voor T, Mikelsaar M. The association of gut microbiota with body weight and body mass index in preschool children of Estonia. Microb Ecol Health Dis. 2013;24:19231. doi: 10.3402/mehd.v24i0.19231. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Schwiertz A, Taras D, Schäfer K, Beijer S, Bos NA, Donus C, Hardt PD. Microbiota and SCFA in lean and overweight healthy subjects. Obesity (Silver Spring). 2010;18(1):190–195. doi: 10.1038/oby.2009.167. [DOI] [PubMed] [Google Scholar]
- 109.Bach Knudsen KE. Microbial degradation of whole-grain complex carbohydrates and impact on short-chain fatty acids and health. Adv Nutr (Bethesda, Md). 2015;6:206–213. doi: 10.3945/an.114.007450. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Turnbaugh PJ, Ley RE, Mahowald MA, Magrini V, Mardis ER, Gordon JI. An obesity-associated gut microbiome with increased capacity for energy harvest. Nature. 2006;444:1027–1031. doi: 10.1038/nature05414. [DOI] [PubMed] [Google Scholar]
- 111.Kovatcheva-Datchary P, Shoaie S, Lee S, Wahlström A, Nookaew I, Hallen A, Perkins R, Nielsen J, Bäckhed F. Simplified intestinal microbiota to study microbe-diet-host interactions in a mouse model. Cell Rep. 2019;26(13):3772–83.e6. doi: 10.1016/j.celrep.2019.02.090. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Duncan SH, Lobley GE, Holtrop G, Ince J, Johnstone AM, Louis P, Flint HJ. Human colonic microbiota associated with diet, obesity and weight loss. Int J Obes (Lond). 2008;32(11):1720–1724. doi: 10.1038/ijo.2008.155. [DOI] [PubMed] [Google Scholar]
- 113.Balamurugan R, George G, Kabeerdoss J, Hepsiba J, Chandragunasekaran AM, Ramakrishna BS. Quantitative differences in intestinal Faecalibacterium prausnitzii in obese Indian children. Br J Nutr. 2010;103:335–338. doi: 10.1017/S0007114509992182. [DOI] [PubMed] [Google Scholar]
- 114.De Vadder F, Kovatcheva-Datchary P, Goncalves D, Vinera J, Zitoun C, Duchampt A, Bäckhed F, Mithieux G. Microbiota-generated metabolites promote metabolic benefits via gut-brain neural circuits. Cell. 2014;156(1–2):84–96. doi: 10.1016/j.cell.2013.12.016. [DOI] [PubMed] [Google Scholar]
- 115.Hong J, Jia Y, Pan S, Jia L, Li H, Han Z, Cai D, Zhao R. Butyrate alleviates high fat diet-induced obesity through activation of adiponectin-mediated pathway and stimulation of mitochondrial function in the skeletal muscle of mice. Oncotarget. 2016;7(35):56071–56082. doi: 10.18632/oncotarget.11267. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Forslund K, Hildebrand F, Nielsen T, Falony G, Le Chatelier E, Sunagawa S, Prifti E, Vieira-Silva S, Gudmundsdottir V, Krogh Pedersen H, et al. Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota. Nature. 2015;528(7581):262–266. doi: 10.1038/nature15766. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Dao MC, Everard A, Aron-Wisnewsky J, Sokolovska N, Prifti E, Verger EO, Kayser BD, Levenez F, Chilloux J, Hoyles L, et al. Akkermansia muciniphila and improved metabolic health during a dietary intervention in obesity: relationship with gut microbiome richness and ecology. Gut. 2016;65(3):426. doi: 10.1136/gutjnl-2014-308778. [DOI] [PubMed] [Google Scholar]
- 118.Qin J, Li Y, Cai Z, Li S, Zhu J, Zhang F, Liang S, Zhang W, Guan Y, Shen D, et al. A metagenome-wide association study of gut microbiota in type 2 diabetes. Nature. 2012;490(7418):55–60. doi: 10.1038/nature11450. [DOI] [PubMed] [Google Scholar]
- 119.Karlsson FH, Tremaroli V, Nookaew I, Bergström G, Behre CJ, Fagerberg B, Nielsen J, Bäckhed F. Gut metagenome in European women with normal, impaired and diabetic glucose control. Nature. 2013;498(7452):99–103. doi: 10.1038/nature12198. [DOI] [PubMed] [Google Scholar]
- 120.Vrieze A, Van Nood E, Holleman F, Salojärvi J, Kootte RS, Bartelsman JFWM, Dallinga–Thie GM, Ackermans MT, Serlie MJ, Oozeer R, et al. Transfer of intestinal microbiota from lean donors increases insulin sensitivity in individuals with metabolic syndrome. Gastroenterology. 2012;143(4):913–6.e7. doi: 10.1053/j.gastro.2012.06.031. [DOI] [PubMed] [Google Scholar]
- 121.Udayappan S, Manneras-Holm L, Chaplin-Scott A, Belzer C, Herrema H, Dallinga-Thie GM, Duncan SH, Stroes ESG, Groen AK, Flint HJ, et al. Oral treatment with Eubacterium hallii improves insulin sensitivity in db/db mice. Npj Biofilms Microbiomes. 2016;2(1):16009. doi: 10.1038/npjbiofilms.2016.9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Kootte RS, Levin E, Salojärvi J, Smits LP, Hartstra AV, Udayappan SD, Hermes G, Bouter KE, Koopen AM, Holst JJ, et al. Improvement of insulin sensitivity after lean donor feces in metabolic syndrome is driven by baseline intestinal microbiota composition. Cell Metab. 2017;26(4):611–9.e6. doi: 10.1016/j.cmet.2017.09.008. [DOI] [PubMed] [Google Scholar]
- 123.Lin HV, Frassetto A, Kowalik Jr EJ Jr., Nawrocki AR, Lu MM, Kosinski JR, Hubert JA, Szeto D, Yao X, Forrest G, et al. Butyrate and propionate protect against diet-induced obesity and regulate gut hormones via free fatty acid receptor 3-independent mechanisms. PLoS One. 2012;7(4):e35240. doi: 10.1371/journal.pone.0035240. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Tolhurst G, Heffron H, Lam YS, Parker HE, Habib AM, Diakogiannaki E, Cameron J, Grosse J, Reimann F, Gribble FM, et al. Short-chain fatty acids stimulate glucagon-like peptide-1 secretion via the G-protein-coupled receptor FFAR2. Diabetes. 2012;61(2):364–371. doi: 10.2337/db11-1019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Engelstoft MS, Schwartz TW. Opposite regulation of ghrelin and glucagon-like peptide-1 by metabolite G-protein-coupled receptors. Trends Endocrinol Metab. 2016;27:665–675. doi: 10.1016/j.tem.2016.07.001. [DOI] [PubMed] [Google Scholar]
- 126.Queipo-Ortuño MI, Seoane LM, Murri M, Pardo M, Gomez-Zumaquero JM, Cardona F, Casanueva F, Tinahones FJ. Gut microbiota composition in male rat models under different nutritional status and physical activity and its association with serum leptin and ghrelin levels. PLoS One. 2013;8(5):e65465. doi: 10.1371/journal.pone.0065465. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Zeevi D, Korem T, Zmora N, Israeli D, Rothschild D, Weinberger A, Ben-Yacov O, Lador D, Avnit-Sagi T, Lotan-Pompan M, et al. Personalized nutrition by prediction of glycemic responses. Cell. 2015;163(5):1079–1094. doi: 10.1016/j.cell.2015.11.001. [DOI] [PubMed] [Google Scholar]
- 128.Khan S, Jena G. The role of butyrate, a histone deacetylase inhibitor in diabetes mellitus: experimental evidence for therapeutic intervention. Epigenomics. 2015;7:669–680. doi: 10.2217/epi.15.20. [DOI] [PubMed] [Google Scholar]
- 129.de Luca C, Olefsky JM. Inflammation and insulin resistance. FEBS Lett. 2008;582:97–105. doi: 10.1016/j.febslet.2007.11.057. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130.Cucak H, Mayer C, Tonnesen M, Thomsen LH, Grunnet LG, Rosendahl A. Macrophage contact dependent and independent TLR4 mechanisms induce β-cell dysfunction and apoptosis in a mouse model of type 2 diabetes. PLoS One. 2014;9:e90685. doi: 10.1371/journal.pone.0090685. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131.Biragyn A, Ferrucci L. Gut dysbiosis: a potential link between increased cancer risk in ageing and inflammaging. Lancet Oncol. 2018;19:e295–e304. doi: 10.1016/S1470-2045(18)30095-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132.Jacouton E, Chain F, Sokol H, Langella P, Bermúdez-Humarán LG. Probiotic strain lactobacillus casei BL23 prevents colitis-associated colorectal cancer. Front Immunol. 2017;8:1553. doi: 10.3389/fimmu.2017.01553. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133.Encarnação JC, Abrantes AM, Pires AS, Botelho MF. Revisit dietary fiber on colorectal cancer: butyrate and its role on prevention and treatment. Cancer Metastasis Rev. 2015;34:465–478. doi: 10.1007/s10555-015-9578-9. [DOI] [PubMed] [Google Scholar]
- 134.Waldecker M, Kautenburger T, Daumann H, Busch C, Schrenk D. Inhibition of histone-deacetylase activity by short-chain fatty acids and some polyphenol metabolites formed in the colon. J Nutr Biochem. 2008;19:587–593. doi: 10.1016/j.jnutbio.2007.08.002. [DOI] [PubMed] [Google Scholar]
- 135.Chen J, Vitetta L. Inflammation-modulating effect of butyrate in the prevention of colon cancer by dietary fiber. Clin Colorectal Cancer. 2018;17:e541–e4. doi: 10.1016/j.clcc.2018.05.001. [DOI] [PubMed] [Google Scholar]
- 136.Chen H-M, Yu Y-N, Wang J-L, Lin Y-W, Kong X, Yang C-Q, Yang L, Liu Z-J, Yuan Y-Z, Liu F, et al. Decreased dietary fiber intake and structural alteration of gut microbiota in patients with advanced colorectal adenoma. Am J Clin Nutr. 2013;97(5):1044–1052. doi: 10.3945/ajcn.112.046607. [DOI] [PubMed] [Google Scholar]
- 137.Donohoe DR, Holley D, Collins LB, Montgomery SA, Whitmore AC, Hillhouse A, Curry KP, Renner SW, Greenwalt A, Ryan EP, et al. A gnotobiotic mouse model demonstrates that dietary fiber protects against colorectal tumorigenesis in a microbiota- and butyrate-dependent manner. Cancer Discov. 2014;4(12):1387–1397. doi: 10.1158/2159-8290.CD-14-0501. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138.Candido EP. Sodium butyrate inhibits histone deacetylation in cultured cells. Cell. 1978;14(1):105–113. doi: 10.1016/0092-8674(78)90305-7. [DOI] [PubMed] [Google Scholar]
- 139.Chen J, Jiang CC, Jin L, Zhang XD. Regulation of PD-L1: a novel role of pro-survival signalling in cancer. Ann Oncol. 2016;27(3):409–416. doi: 10.1093/annonc/mdv615. [DOI] [PubMed] [Google Scholar]
- 140.Donohoe DR, Curry KP, Bultman SJ. Microbial oncotarget: bacterial-produced butyrate, chemoprevention and warburg effect. Oncotarget. 2013. February;4(2):182–183. doi: 10.18632/oncotarget.915. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141.Andriamihaja M, Chaumontet C, Tome D, Blachier F. Butyrate metabolism in human colon carcinoma cells: implications concerning its growth-inhibitory effect. J Cell Physiol. 2009;218:58–65. doi: 10.1002/jcp.21556. [DOI] [PubMed] [Google Scholar]
- 142.Donohoe DR, Collins LB, Wali A, Bigler R, Sun W, Bultman SJ. The Warburg effect dictates the mechanism of butyrate-mediated histone acetylation and cell proliferation. Mol Cell. 2012;48:612–626. doi: 10.1016/j.molcel.2012.08.033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 143.Wang T, Cai G, Qiu Y, Fei N, Zhang M, Pang X, Jia W, Cai S, Zhao L. Structural segregation of gut microbiota between colorectal cancer patients and healthy volunteers. Isme J. 2012;6(2):320–329. doi: 10.1038/ismej.2011.109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144.Ai D, Pan H, Li X, Gao Y, Liu G, Xia LC. Identifying gut microbiota associated with colorectal cancer using a zero-inflated lognormal model. Front Microbiol. 2019;10:826. doi: 10.3389/fmicb.2019.00826. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 145.Yu J, Feng Q, Wong SH, Zhang D, Liang QY, Qin Y, Tang L, Zhao H, Stenvang J, Li Y, et al. Metagenomic analysis of faecal microbiome as a tool towards targeted non-invasive biomarkers for colorectal cancer. Gut. 2017;66(1):70–78. doi: 10.1136/gutjnl-2015-309800. [DOI] [PubMed] [Google Scholar]
- 146.Jie Z, Xia H, Zhong S-L, Feng Q, Li S, Liang S, Zhong H, Liu Z, Gao Y, Zhao H, et al. The gut microbiome in atherosclerotic cardiovascular disease. Nat Commun. 2017;8(1):845. doi: 10.1038/s41467-017-00900-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147.Karlsson FH, Fåk F, Nookaew I, Tremaroli V, Fagerberg B, Petranovic D, Bäckhed F, Nielsen J. Symptomatic atherosclerosis is associated with an altered gut metagenome. Nat Commun. 2012;3(1):1245. doi: 10.1038/ncomms2266. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148.Bingham SA, Day NE, Luben R, Ferrari P, Slimani N, Norat T, Clavel-Chapelon F, Kesse E, Nieters A, Boeing H, et al. Dietary fibre in food and protection against colorectal cancer in the European prospective investigation into cancer and nutrition (EPIC): an observational study. Lancet (London, England). 2003;361(9368):1496–1501. doi: 10.1016/S0140-6736(03)13174-1. [DOI] [PubMed] [Google Scholar]
- 149.Clausen MR, Bonnén H, Mortensen PB. Colonic fermentation of dietary fibre to short chain fatty acids in patients with adenomatous polyps and colonic cancer. Gut. 1991;32(8):923–928. doi: 10.1136/gut.32.8.923. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150.Chiang JYL. Bile acids: regulation of synthesis. J Lipid Res. 2009;50:1955–1966. doi: 10.1194/jlr.R900010-JLR200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 151.Chiang JYL. Bile acid metabolism and signaling. Compr Physiol. 2013;3:1191–1212. doi: 10.1002/cphy.c120023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152.Gadaleta RM, van Mil SW, Oldenburg B, Siersema PD, Klomp LW, van Erpecum KJ. Bile acids and their nuclear receptor FXR: relevance for hepatobiliary and gastrointestinal disease. Biochim Biophys Acta. 2010;1801:683–692. doi: 10.1016/j.bbalip.2010.04.006. [DOI] [PubMed] [Google Scholar]
- 153.Grivennikov SI, Greten FR, Karin M. Immunity, inflammation, and cancer. Cell. 2010;140:883–899. doi: 10.1016/j.cell.2010.01.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 154.Feng Q, Zhang D, Liu C, Xiao L, Tang L, Wang J, inventors; BGI Shenzhen, assignee. Use of eubacterium in the prevention and treatment for colorectal cancer related diseases. China patent CN 106687130B. 2020 January 21. [Google Scholar]
- 155.Chan YK, Brar MS, Kirjavainen PV, Chen Y, Peng J, Li D, Leung FC, El-Nezami H. High fat diet induced atherosclerosis is accompanied with low colonic bacterial diversity and altered abundances that correlates with plaque size, plasma A-FABP and cholesterol: a pilot study of high fat diet and its intervention with Lactobacillus rhamnosus GG (LGG) or telmisartan in ApoE(-/-) mice. BMC Microbiol. 2016;16:264. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 156.Ma J, Li H. The role of gut microbiota in atherosclerosis and hypertension. Front Pharmacol. 2018;9:1082. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157.Freier TA, Beitz DC, Li L, Hartman PA. Characterization of Eubacterium coprostanoligenes sp. nov., a cholesterol-reducing anaerobe. Int J Syst Bacteriol. 1994;44(1):137–142. doi: 10.1099/00207713-44-1-137. [DOI] [PubMed] [Google Scholar]
- 158.Kenny DJ, Plichta DR, Shungin D, Koppel N, Hall AB, Fu B, Vasan RS, Shaw SY, Vlamakis H, Balskus EP, et al. Cholesterol metabolism by uncultured human gut bacteria influences host cholesterol level. Cell Host Microbe. 2020. doi: 10.1016/j.chom.2020.05.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 159.Kriaa A, Bourgin M, Mkaouar H, Jablaoui A, Akermi N, Soussou S, Maguin E, Rhimi M. Microbial reduction of cholesterol to coprostanol: an old concept and new insights. Catalysts. 2019;9(2):167. doi: 10.3390/catal9020167. [DOI] [Google Scholar]
- 160.Ren D, Li L, Schwabacher AW, Young JW, Beitz DC. Mechanism of cholesterol reduction to coprostanol by Eubacterium coprostanoligenes ATCC 51222. Steroids. 1996;61:33–40. doi: 10.1016/0039-128X(95)00173-N. [DOI] [PubMed] [Google Scholar]
- 161.Cuevas-Tena M, Alegría A, Lagarda MJ. Relationship between dietary sterols and gut microbiota: A review. Eur J Lipid Sci Technol. 2018;120:1800054. doi: 10.1002/ejlt.201800054. [DOI] [Google Scholar]
- 162.Gérard P. Metabolism of cholesterol and bile acids by the gut microbiota. Pathogens. 2013;3:14–24. doi: 10.3390/pathogens3010014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 163.Sekimoto H, Shimada O, Makanishi M, Nakano T, Katayama O. Interrelationship between serum and fecal sterols. Jpn J Med. 1983;22:14–20. doi: 10.2169/internalmedicine1962.22.14. [DOI] [PubMed] [Google Scholar]
- 164.Li L, Buhman KK, Hartman PA, Beitz DC. Hypocholesterolemic effect of Eubacterium coprostanoligenes ATCC 51222 in rabbits. Lett Appl Microbiol. 1995;20:137–140. doi: 10.1111/j.1472-765X.1995.tb00410.x. [DOI] [PubMed] [Google Scholar]
- 165.Li L, Batt SM, Wannemuehler M, Dispirito A, Beitz DC. Effect of feeding of a cholesterol-reducing bacterium, Eubacterium coprostanoligenes, to germ-free mice. Comp Med. 1998;48:253–255. [PubMed] [Google Scholar]
- 166.Antharam VC, McEwen DC, Garrett TJ, Dossey AT, Li EC, Kozlov AN, Mesbah Z, Wang GP. An integrated metabolomic and microbiome analysis identified specific gut microbiota associated with fecal cholesterol and coprostanol in clostridium difficile infection. PLoS One. 2016;11(2):e0148824. doi: 10.1371/journal.pone.0148824. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 167.Krobot KJ, Yin DD, Alemao E, Steinhagen-Thiessen E. Real-world effectiveness of lipid-lowering therapy in male and female outpatients with coronary heart disease: relation to pre-treatment low-density lipoprotein-cholesterol, pre-treatment coronary heart disease risk, and other factors. Eur J Cardiovasc Prev Rehabil. 2005;12:37–45. doi: 10.1177/204748730501200106. [DOI] [PubMed] [Google Scholar]
- 168.Matthan NR, Pencina M, LaRocque JM, Jacques PF, D’Agostino RB, Schaefer EJ, Lichtenstein AH. Alterations in cholesterol absorption/synthesis markers characterize Framingham offspring study participants with CHD. J Lipid Res. 2009;50:1927–1935. doi: 10.1194/jlr.P900039-JLR200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 169.Veiga P, Juste C, Lepercq P, Saunier K, Béguet F, Gérard P. Correlation between faecal microbial community structure and cholesterol-to-coprostanol conversion in the human gut. FEMS Microbiol Lett. 2005;242:81–86. doi: 10.1016/j.femsle.2004.10.042. [DOI] [PubMed] [Google Scholar]
- 170.Beitz DC, Young JW, Li L, Buhman KK, inventors; Iowa State University Research Foundation, assignee. Oral administration of coprostanol producing microorganisms to humans to decrease plasma cholesterol concentration. United States patent US 5972685A. 1999 October 26. [Google Scholar]
- 171.Ye JZ, Li YT, Wu WR, Shi D, Fang DQ, Yang LY, Bian X-Y, Wu -J-J, Wang Q, Jiang X-W, et al. Dynamic alterations in the gut microbiota and metabolome during the development of methionine-choline-deficient diet-induced nonalcoholic steatohepatitis. World J Gastroenterol. 2018;24:2468–2481. doi: 10.3748/wjg.v24.i23.2468. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 172.Song Z, Cai Y, Lao X, Wang X, Lin X, Cui Y, Kalavagunta PK, Liao J, Jin L, Shang J, et al. Taxonomic profiling and populational patterns of bacterial bile salt hydrolase (BSH) genes based on worldwide human gut microbiome. Microbiome. 2019;7(1):9. doi: 10.1186/s40168-019-0628-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 173.Ridlon JM, Kang DJ, Hylemon PB. Bile salt biotransformations by human intestinal bacteria. J Lipid Res. 2006;47:241–259. doi: 10.1194/jlr.R500013-JLR200. [DOI] [PubMed] [Google Scholar]
- 174.De Smet I, Van Hoorde L, Vande Woestyne M, Christiaens H, Verstraete W. Significance of bile salt hydrolytic activities of lactobacilli. J Appl Bacteriol. 1995;79:292–301. doi: 10.1111/j.1365-2672.1995.tb03140.x. [DOI] [PubMed] [Google Scholar]
- 175.Lefebvre P, Cariou B, Lien F, Kuipers F, Staels B. Role of bile acids and bile acid receptors in metabolic regulation. Physiol Rev. 2009;89:147–191. doi: 10.1152/physrev.00010.2008. [DOI] [PubMed] [Google Scholar]
- 176.Urdaneta V, Casadesús J. Interactions between bacteria and bile salts in the gastrointestinal and hepatobiliary tracts. Frontiers Med. 2017;4(163). doi:10.3389/fmed.2017.00163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 177.Ridlon JM, Kang DJ, Hylemon PB, Bajaj JS. Bile acids and the gut microbiome. Curr Opin Gastroenterol. 2014;30:332–338. doi: 10.1097/MOG.0000000000000057. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 178.Björkhem I, Einarsson K, Melone P, Hylemon P. Mechanism of intestinal formation of deoxycholic acid from cholic acid in humans: evidence for a 3-oxo-delta 4-steroid intermediate. J Lipid Res. 1989;30:1033–1039. [PubMed] [Google Scholar]
- 179.Jia W, Xie G, Jia W. Bile acid-microbiota crosstalk in gastrointestinal inflammation and carcinogenesis. Nat Rev Gastroenterol Hepatol. 2018;15:111–128. doi: 10.1038/nrgastro.2017.119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 180.Jia E-T, Liu Z-Y, Pan M, Lu J-F, Ge Q-Y. Regulation of bile acid metabolism-related signaling pathways by gut microbiota in diseases. J Zhejiang Univ Sci B. 2019;20:781–792. doi: 10.1631/jzus.B1900073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 181.Guo C, Chen W-D, Wang Y-D. TGR5, not only a metabolic regulator. Front Physiol. 2016;7:646. doi: 10.3389/fphys.2016.00646. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 182.Allegretti JR, Kearney S, Li N, Bogart E, Bullock K, Gerber GK, Bry L, Clish CB, Alm E, Korzenik JR, et al. Recurrent Clostridium difficile infection associates with distinct bile acid and microbiome profiles. Aliment Pharmacol Ther. 2016;43(11):1142–1153. doi: 10.1111/apt.13616. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 183.Theriot CM, Koenigsknecht MJ, Carlson PE Jr., Hatton GE, Nelson AM, Li B, Huffnagle GB, Z. Li J, Young VB. Antibiotic-induced shifts in the mouse gut microbiome and metabolome increase susceptibility to Clostridium difficile infection. Nat Commun. 2014;5(1):3114. doi: 10.1038/ncomms4114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 184.Theriot CM, Young VB. Microbial and metabolic interactions between the gastrointestinal tract and Clostridium difficile infection. Gut Microbes. 2014;5(1):86–95. doi: 10.4161/gmic.27131. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 185.Mullish BH, McDonald JA, Pechlivanis A, Allegretti JR, Kao D, Barker GF, Kapila D, Petrof EO, Joyce SA, Gahan CGM, et al. Microbial bile salt hydrolases mediate the efficacy of faecal microbiota transplant in the treatment of recurrent Clostridioides difficile infection. Gut. 2019;68(10):1791–1800. doi: 10.1136/gutjnl-2018-317842. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 186.Yoshimoto S, Loo TM, Atarashi K, Kanda H, Sato S, Oyadomari S, Iwakura Y, Oshima K, Morita H, Hattori M, et al. Obesity-induced gut microbial metabolite promotes liver cancer through senescence secretome. Nature. 2013;499(7456):97–101. doi: 10.1038/nature12347. [DOI] [PubMed] [Google Scholar]
- 187.Mouzaki M, Wang AY, Bandsma R, Comelli EM, Arendt BM, Zhang L, Fung S, Fischer SE, McGilvray IG, Allard JP, et al. Bile acids and dysbiosis in non-alcoholic fatty liver disease. PLoS One. 2016;11(5):e0151829. doi: 10.1371/journal.pone.0151829. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 188.Loomba R, Seguritan V, Li W, Long T, Klitgord N, Bhatt A, Dulai PS, Caussy C, Bettencourt R, Highlander SK, et al. Gut microbiome-based metagenomic signature for non-invasive detection of advanced fibrosis in human nonalcoholic fatty liver disease. Cell Metab. 2017;25(5):1054–62.e5. doi: 10.1016/j.cmet.2017.04.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 189.Shao L, Ling Z, Chen D, Liu Y, Yang F, Li L. Disorganized gut microbiome contributed to liver cirrhosis progression: a meta-omics-based study. Front Microbiol. 2018;9:3166. doi: 10.3389/fmicb.2018.03166. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 190.Qin N, Yang F, Li A, Prifti E, Chen Y, Shao L, Guo J, Le Chatelier E, Yao J, Wu L, et al. Alterations of the human gut microbiome in liver cirrhosis. Nature. 2014;513(7516):59–64. doi: 10.1038/nature13568. [DOI] [PubMed] [Google Scholar]
- 191.Duboc H, Rajca S, Rainteau D, Benarous D, Maubert M-A, Quervain E, Thomas G, Barbu V, Humbert L, Despras G, et al. Connecting dysbiosis, bile-acid dysmetabolism and gut inflammation in inflammatory bowel diseases. Gut. 2013;62(4):531–539. doi: 10.1136/gutjnl-2012-302578. [DOI] [PubMed] [Google Scholar]
- 192.Heinken A, Ravcheev DA, Baldini F, Heirendt L, Fleming RMT, Thiele I. Systematic assessment of secondary bile acid metabolism in gut microbes reveals distinct metabolic capabilities in inflammatory bowel disease. Microbiome. 2019;7:75. doi:10.1186/s40168-019-0689-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 193.Fekry MI, Engels C, Zhang J, Schwab C, Lacroix C, Sturla SJ, Chassard C. The strict anaerobic gut microbe Eubacterium hallii transforms the carcinogenic dietary heterocyclic amine 2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhIP). Environ Microbiol Rep. 2016;8(2):201–209. doi: 10.1111/1758-2229.12369. [DOI] [PubMed] [Google Scholar]
- 194.Vollenweider S, Lacroix C. 3-hydroxypropionaldehyde: applications and perspectives of biotechnological production. Appl Microbiol Biotechnol. 2004;64(1):16–27. doi: 10.1007/s00253-003-1497-y. [DOI] [PubMed] [Google Scholar]
- 195.Possemiers S, Rabot S, Espín JC, Bruneau A, Philippe C, González-Sarrías A, Heyerick A, Tomás-Barberán FA, De Keukeleire D, Verstraete W, et al. Eubacterium limosum activates isoxanthohumol from hops (Humulus lupulus L.) into the potent phytoestrogen 8-prenylnaringenin in vitro and in rat intestine. J Nutr. 2008;138:1310–1316. doi: 10.1093/jn/138.7.1310. [DOI] [PubMed] [Google Scholar]
- 196.Heyerick A, Vervarcke S, Depypere H, Bracke M, De Keukeleire D. A first prospective, randomized, double-blind, placebo-controlled study on the use of a standardized hop extract to alleviate menopausal discomforts. Maturitas. 2006;54:164–175. doi: 10.1016/j.maturitas.2005.10.005. [DOI] [PubMed] [Google Scholar]
- 197.Bolca S, Possemiers S, Maervoet V, Huybrechts I, Heyerick A, Vervarcke S, Depypere H, De Keukeleire D, Bracke M, De Henauw S, et al. Microbial and dietary factors associated with the 8-prenylnaringenin producer phenotype: a dietary intervention trial with fifty healthy post-menopausal Caucasian women. Br J Nutr. 2007;98(5):950–959. doi: 10.1017/S0007114507749243. [DOI] [PubMed] [Google Scholar]
- 198.Nieuwdorp M, Vos WMD, inventors; Caelus Pharmaceuticals BV, Academisch Medisch Centrum, assignees. Method for preventing and/or treating insulin resistance. United States patent US 9623055B2. 2017 April 18. [Google Scholar]
- 199.Feng Q, Zhang D, Qin Y, inventors; BGI Shenzhen, assignee. Biomarkers for colorectal cancer. World Intellectual Property Organization WO 2015018307A1. 2015 February 12. [Google Scholar]
- 200.Cutcliffe C, Eid JS, Bullard JH, Schicklberger MF, Cheng AT, inventors; Whole Biome, assignee. Methods and compositions relating to microbial treatment and diagnosis of skin disorders. World Intellectual Property Organization WO 2016149687A1. 2016 September 22. [Google Scholar]
- 201.Mulder IE, Holt AB, McCluskey SM, Lennon GC, Ahmed S, inventors; 4D Pharma Research, assignee. Composition comprising a bacterial strain of the genus Eubacterium. United States patent US 10391128B2. 2019 August 27. [Google Scholar]