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. 2017 Aug 3;8(6):607–615. doi: 10.1080/19490976.2017.1349041

Gut microbiome in multiple sclerosis: The players involved and the roles they play

Shailesh K Shahi 1, Samantha N Freedman 1, Ashutosh K Mangalam 1,
PMCID: PMC5730390  PMID: 28696139

ABSTRACT

The human gut contains trillions of bacteria (microbiome) that play a major role in maintaining a healthy state for the host. Perturbation of this healthy gut microbiome might be an important environmental factor in the pathogenesis of inflammatory autoimmune diseases such as multiple sclerosis (MS). Others and we have recently reported that MS patients have gut microbial dysbiosis (altered microbiota) with the depletion of some and enrichment of other bacteria. However, the significance of gut bacteria that show lower or higher abundance in MS is unclear. The majority of gut bacteria are associated with certain metabolic pathways, which in turn help in the maintenance of immune homeostasis of the host. Here we discuss recent MS microbiome studies and the possible mechanisms through which gut microbiome might contribute to the pathogenesis of MS.

KEYWORDS: gut microbiome, host-microbe interaction, immune response, microbial metabolism, multiple sclerosis (MS), phytoestrogen, short chain fatty acids

Introduction

Multiple sclerosis (MS) and altered gut microbiota

Multiple sclerosis (MS), an autoimmune disease of the central nervous system (CNS), is characterized by demyelination, axonal damage, and progressive neurologic disability. Collective evidence suggests that disease onset might result from aberrant T cell–mediated immune responses to several myelin antigens. The etiology of MS is complex and not well understood. While certain genetic factors (e.g., certain HLA class ll haplotypes) have emerged as strong candidates associated with the disease, the exact nature of environmental contributing factors remains elusive. Altered gut microbiota might be one of the major missing environmental factors contributing to MS because evidence suggests that certain gut microbiota might be linked to either disease susceptibility or protection.1-5

Gut microbiome and human health

Human Microbiome Project (HMP), a National Institutes of Health initiative to catalog microbial flora in healthy individuals, has shown that large microbial communities residing within or on the human body play a major role in both health and disease.6-8 Human beings could be considered a superorganism encompassing both human genome and microbiome (microbial communities, their genome, proteins, and metabolites).6-8 The gut microbiota functions like a bioreactor that influences nutrient uptake, food metabolism, energy homeostasis, and shaping mucosal as well as systemic immune responses (Fig. 1). A healthy gut microbiota is characterized by its diversity (species richness) and resilience (Box 1).8 The gut microbiota helps in keeping a healthy state in multiple ways, including maintenance of an intact intestinal barrier, inhibition of colonization by pathogenic organisms, and regulation of host physiology and immune responses.9-12 Alteration of the gut microbiota and subsequent changes in its metabolic network perturb this homeostasis, leading to negative consequences that may result in intestinal and systemic disorders. This observation has led to an increased emphasis for a detailed understanding of the mechanism by which the gut microbiota regulates host metabolism and immune responses. The gut microbiota consists of organisms including bacteria, viruses, archaea, and fungi. However, the majority of MS studies have focused on bacteria or bacteria plus archaea.1-3,13-19 The major hurdles in the analysis of viruses and fungi are the lack of well-developed tools for their analysis. In recent years, several groups including ours have evaluated a role of the gut microbiota in MS patients by analyzing 16S-rRNA metagenomic sequencing,1-3,15-19 phylochip analysis of fecal DNA samples,14 or RNAseq analysis of biopsies from brain white matter.13

Figure 1.

Figure 1.

Role of the gut microbiota in health and disease.

 

Box 1
 
Microbiota All the microbes (archaea, bacteria, fungi, viruses, etc.) present within an ecosystem/habitat. A collective study of these microbes in the gut is called the gut microbiome, and at the skin, it is called skin microbiome.
Microbiome Collective genomic, protein, or metabolite content of all the microbes in a given ecosystem/habitat, e.g., the microbial community in the gut is called gut microbiota.
Metagenome Study of genetic material from a given ecosystem/habitat, e.g., 16S-rRNA metagenomic analysis is the study of bacteria present within a given environment through sequencing of the 16S rRNA region of the bacteria.
Healthy microbiota A diversified microbiota present in a healthy state responsible for maintaining homeostasis of host physiology including the immune system. It is characterized by a diverse microbial community, which is stable, shows resistance and resilience, and maintains immune homeostasis by keeping a balance between pro-and anti-inflammatory responses.
Dysbiosis Alteration of microbiota from a healthy state; it is characterized by lower resistance and resilience ability, shifting the immune balance toward an inflammatory phenotype.

Methods used for gut microbiota profiling in MS patients

The development of low-cost, culture-independent analyses with improved DNA sequencing methods has led to rapid development in the investigation of gut microbiota profiling studies in the last decade, an achievement due in large part to the HMP.20 The majority of bacteria (∼90%) in adult human gut belong to Firmicutes or Bacteroidetes phyla, with the remaining belonging to Actinobacteria, Proteobacteria, and few other phyla.20 The majority of MS gut microbiota studies have used either sequencing of a small region within the 16S rRNA gene of bacteria or phylochip analysis, a microarray-based method that uses probes for the 16S rRNA region of known microbial taxa (∼50,000) (Fig. 2). Analysis of the 16S rRNA gene is the preferred method for taxonomic classification of bacteria because it includes both conserved and 9 hypervariable regions (V1–V9) (Fig. 2). Polymerase chain reaction (PCR) primers are designed within specific conserved regions to get an amplification product comprising one or more hypervariable regions (Fig. 2). In light of current next generation sequencing technologies (Illumina and Roche), which allow sequencing of only 500 nucleotides out of the 1500 nucleotide-long 16S rRNA gene, primers are chosen for amplification products consisting of either V1–V2, V3–V5, or V6–V9 regions, each showing bias for particular taxa.21,22 Some groups prefer the V1–V2 region,3 which shows an increased bias for Clostridium and decreased bias for certain Bacteroidetes species, while other groups prefer the V4, V3–V4, and V3–V5 regions, which demonstrate the least biased classification of bacterial taxa.1,2,16-19

Figure 2.

Figure 2.

Illustration of conserved, variable, hypervariable regions within the 16S rRNA gene and the various primer pairs used for metagenomic sequencing. Conserved regions are represented in blue, variable regions in gray, and hypervariable regions in red. Nine hypervariable regions are not distributed uniformly, as some hypervariable regions such as H3 and H9 are longer compared to H5 or H7. Primers are designed in a conserved region to get a PCR product spanning one (V4) or more hypervariable regions (e.g., V1-2 or V3-5). Single-end (Roche 454) or double-end (Illumina) sequencing of PCR product provides data for profiling of microbiota.

Gut microbiota in MS

In the last few years, several groups including ours have profiled fecal gut microbiota from MS patients and have shown that MS patients exhibit gut microbial dysbiosis with both depletion and enrichment of certain bacteria compared with healthy controls (Table 1).1-3,14,16-19 Within Bacteroidetes phyla Bacteroides, Prevotella, and Parabacteroides are the major genera and we observed depletion of Parabacteroides and Prevotella in relapsing remitting MS (RRMS) patients.1 Cekanaviciute et al. also reported a decreased abundance of Parabacteroides distasonis in RRMS patients compared with healthy controls.16 These observations suggest that Parabacteroides might be a beneficial commensal organism and may play a protecting role in RRMS. Many studies have reported either reduced abundance of Prevotella in RRMS patients1,3 or an increased abundance of Prevotella after treatment with disease-modifying therapies.2,15 We observed a reduced abundance of Prevotella in RRMS patients compared with age- and gender-matched healthy controls.1 Miyake et al. demonstrated that RRMS patients had reduced abundance of Prevotella (Prevotella copri) compared with healthy controls.3 Jangi et al. showed that RRMS patients on disease-modifying therapies had increased abundance of Prevotella compared with untreated patients2 and Castillo Alvarez et al. observed depletion of Prevotella copri in RRMS patients on interferon β-1b treatment.15 The reduced abundance of Prevotella observed across multiple MS microbiome studies in different geographical locations suggests this bacterium might have an important anti-inflammatory role in RRMS patients.

Table 1.

MS Microbiome Studies.

      Change in abundance between MS vs. HC (P- Phyla, F- family, G-genus)
Change in abundance between treated and untreated MS (P- Phyla, F- family, G-genus)
 
Subjects (n, M/F) sample type (country) Treatment Microbiome analysis method Increased in MS vs HC Decreased in MS vs HC Increased in MS patients Decreased in MS patients Other conclusion(s) of the study Ref
RRMS (n = 31,10M/21F) HC (n = 36, 14M/22F) Fecal samples (USA)   16S rRNA Pseudomonas (G), Mycoplana (G), Haemophilus (G), Blautia (G), Dorea (G), Pedobacter (G) and Flavobacterium (G) Prevotella (G), Parabacteroides (G), Adlercreutzia(G), Collinsella (G), Lactobacillus (G), Coprobacillus (G), Haemophilus (G)     No change in levels of Fecalibacterium (G) 1
V3–5
Illumina MiSeq
RRMS RRMS treated (disease-modifying treatment ) vs untreated 16S rRNA Methanobrevibacter (G) Akkermansia (G) Butyricimonas (G) Prevotella (G) Prevotella (G) Sutterella (G) Methanobrevibacter (G) Akkermansia (G) Sarcina (G) No change in Butyricimonas on treatment 2
(n = 60, 19M/41F) HC (n = 43, 6M/37F) Fecal samples (USA) V3-V5 Roche 454 and V4 by Illumina MiSeq
RRMS (n = 20, 6M/14F) HC (n = 40, 20M/20F) Fecal sample (Japan)   16S rRNA Bifidobacterium (G) Streptococcus (G) Streptococcus thermophilus Bacteroides (G) (B. stercoris, B. coprocola, and B. coprophilus) Fecalibacterium (G)       3
V1-V2 Eggerthella lenta Prevotella (G) (P.copri) Anaerostipes (G) Clostridium (G) Sutterella (G) (S. wadsworthensis)
Illumina MiSeq    
RRMS (n = 7) HC (n= 8) # GA treated vs. untreated # vitamin D supplementation in MS patient vs. HC Amplification of whole V1-V9 region of 16S rRNA followed by Phylochip analysis Ruminococcus (G) Fecalibacterium (G) Bacteroidaceae (F) Ruminococcus (G) Lactobacillaceae (F) Clostridium (G) Fecalibacterium (G) Increase in Akkermansia (G) Fecalibacterium (G) Coprococcus(G) genera after Vitamin D supplementation 14
no gender data Fecal samples (USA)
RRMS (n = 30) Treated with interferon β-1b (n = 15) vs. untreated (n = 15) No data     Prevotella copri DSM 18205   Firmicutes, Actinobacteria and Lentisphaerae differed between untreated MS patients, vs treated and HC 15
HC (n = 14)
no gender data Fecal samples (UK)
Treatment Naïve MS (n = 64)   16S rRNA Acinetobacter calcoaceticus Parabacteroides distasonis     A. calcoaceticus and A. muciniphila induce proinflammatory response 16
no gender data Fecal samples (No data) V4 Akkermansia muciniphila P. distasonis induce Tregs
  Illumina MiSeq    
Pediatric RRMS (n = 18, 8M/10F) HC (n = 17, 8M/9F) Fecal samples (USA)   16S rRNA Bilophila (G), Lachnospiraceae (F) Ruminococcaceae (F)       17
V4 Desulfovibrio (G), Christensenellaceae (F)
Illumina MiSeq  
Pediatric RRMS (n = 15, 7M/8F) HC (n = 9, 2M/7F) Fecal samples (USA)   16S rRNA         Bacteroidetes was inversely associated with Th17 for RRMS but not controls. Fusobacteria correlated 18
V4 with Tregs in HC
Illumina MiSeq  
Pediatric RRMS (n = 17, 7M/10F) Pediatric RRMS followed over a mean 19.8 months to find microbiome associated with risk of relapse 16S rRNA         A shorter time to relapse was associated with 19
Fecal samples (USA) V4 absence of Fusobacteria and higher abundance of Firmicutes and Archaea Euryarchaeota
  Illumina MiSeq  
P-MS (n = 5), RRMS (n = 4), SPMS (n = 14) Non MS Controls ( n = 21) Brain biopsies (Canada)   RNASeq analysis Proteobacteria (P) (RRMS) Actinobacteria (P) (P-MS) Bacteriophages with Proteobacteria       13

Among Firmicutes, some genera were depleted whereas others were enriched in RRMS patients. We observed an increase abundance of Dorea and Blautia in RRMS patients.1 Although Dorea is considered a constituent of healthy gut flora, it has been linked with inflammatory diseases, such as Crohn's disease, where patients exhibit an abundance of Dorea.23 Some discrepancy exists for Clostridium and Fecalibacterium, as we1 and others2,15,16,18,19 did not observe depletion of these bacteria, whereas Miyake et al. and Cantarel et al. observed depletion of Clostridium3 and Fecalibacterium,14 respectively. The discrepancies in results among studies might be due to the use of different methods for microbiome analysis. Jangi et al.2 used both V4 and V3–V5, our group1 used V3–V5, and others16-19 used V4-specific primers-based DNA sequencing. In contrast, Miyake et al.3 used V1–V2 specific primer-based sequencing and Cantarel et al.14 used Phylochip based analysis. Only one study has followed patients longitudinally (up to 19 months) and observed that more frequent relapses in pediatric MS patients were associated with a higher abundance of Firmicutes (Table 1).17

Within Actinobacteria phyla, we observed a lower abundance of Adlercreutzia (equolifaciens) and Collinsella in MS patients.1 Although Jangi et al. did not find a difference in Adlercreutzia, they did report depletion of Collinsella and Slackia in MS patients.2 With regard to Proteobacteria, we observed enrichment of Mycoplana and Pseudomonas in MS patients,1; Miyake et al.3 reported higher abundance of Bilophila in MS patients; and Cekanaviciute et al.16 observed higher abundance of Acinetobacter calcoaceticus. In contrast, a few studies have reported that levels of Sutterella (Proteobacteria) were restored after treatment of MS patients with disease modifying drugs.2,15 Collectively, these studies point toward both a pro- and anti-inflammatory role of Proteobacteria in MS. Higher abundance of Proteobacteria has also been reported in other autoimmune diseases such as inflammatory bowel disease (IBD).24 Based on a higher prevalence of Proteobacteria in multiple autoimmune diseases, it is suggested that Proteobacteria might contribute to autoimmune diseases by promoting pro-inflammatory responses.24 Finally, 2 studies had also reported an increased abundance of Akkermansia, belonging to the Verrucomicrobia phylum, in MS patients.2,16 However, the role of Akkermansia in inflammatory diseases is not clear, as it has been reported to be decreased in IBD patients.

In addition to the gut, one study has also reported the presence of bacteria in brain biopsies.13 Biopsy samples of brain white matter from RRMS patients showed a higher abundance of Fusobacterium,13 a Gram-negative anaerobic bacteria of the phyla Fusobacteria. Fusobacterium has been previously reported in colon cancer tissue and ulcerative colitis. Currently, it is unclear whether Fusobacterium is pathogenic or if it grows in an inflammatory environment.

Because the majority of these studies profile fecal samples at a single point, it is hard to conclude whether the changes in the gut microbiota are a cause or consequence of the disease. Future studies analyzing the temporal changes in the gut microbiota will be able to answer whether the disease onset and/or relapses are associated with a shift in the gut microbiota.

Functional significance of bacteria positively or negatively associated with MS

In a healthy individual, the gut consists of a diversified bacterial community that is responsible for maintaining the balance between pro- and anti-inflammatory immune responses. RRMS is an inflammatory disease in which the immune balance is tilted toward a pro-inflammatory state. Therefore, it is reasonable to hypothesize that gut dysbiosis can be characterized by depletion of bacteria responsible for induction/maintenance of anti-inflammatory responses and/or enrichment of bacteria with the ability to induce pro-inflammatory responses. Major immune cells associated with anti-inflammatory response are CD4+CD25+FoxP3+T cells (Tregs), IL-10-producing CD4+ T cells (Tr1), tolerogenic dendritic cells, suppressive macrophages, and regulatory B cells. In contrast, immune cells associated with pro-inflammatory responses are CD4 T cells of Th1 or Th17 phenotype, inflammatory dendritic cells, monocytes, and B cells. Discussion of these inflammatory and regulatory immune cell populations can be found elsewhere.25

Significance of gut bacteria negatively associated with MS (anti-inflammatory bacteria)

As mentioned previously, gut bacteria exhibit a symbiotic relationship with the host (human), which provides them space and nutrients. In turn, bacteria help in maintaining a healthy state of the host by performing several physiologic functions such as digestion of food, immune system development, maintenance of the gut barrier, suppression of colonization of pathobionts, etc. Because the gut microbiota is a community structure, some bacteria directly feed on host-provided nutrients, whereas other bacteria feed on bacterial by-products, a process called cross-feeding. Unsurprisingly, diet is one of the major factors determining our gut microbiota. Specifically, gut microbiota help with digestion/metabolism of several compounds including starches/fibers, phytoestrogens, bile acids, and tryptophan. Recent studies show that metabolism of food by microbiota have a strong influence on the development and function of the immune system.26 Metabolism of starch/complex sugars by gut bacteria leads to the production of short-chain fatty acids (SCFAs), which are one of most studied bacterial metabolites. Firmicutes, such as Clostridium, have received much attention because certain species can produce SCFAs and aid in the maintenance of regulatory FoxP3+ CD4 T cells. However, some Bacteroidetes species can also produce SCFAs.27 Among the bacteria showing lower abundance in MS patients, Prevotella, Parabacteroides, and Lactobacillus have the ability to induce SCFAs production.28,29 We have recently shown that Prevotella histicola, a member of the Prevotella genus, can suppress disease in experimental autoimmune encephalomyelitis (EAE), a preclinical murine model of MS (Mangalam et al. Cell Reports, in press). P. histicola induced CD4+FoxP3+ regulatory T cells, tolerogenic dendritic cells and suppressive macrophage (Mangalam et al. Cell Reports, in press). Parabacteroides distasonis had been also shown to convert naïve human CD4 T cells into IL-10 producing CD4+CD25+ regulatory T cells.16

One of the metabolic pathways used by Prevotella and Parabacteroides as well as Adlercreutzia (which is also depleted in MS patients) is metabolism of phytoestrogens.30-32 It is important to note that estrogens have been shown to possess disease-suppressive properties in MS as evidenced by several studies in animals as well as in MS patients.33 While SCFAs have been investigated extensively, the importance of phytoestrogen metabolism in regulation/maintenance of immune responses has not been explored in detail.

Significance of gut bacteria positively associated with MS (pro-inflammatory bacteria)

In our study, we observed a higher abundance of Dorea, Blautia, Pseudomonas, and Mycoplana in MS patients1 (Table 1). Although Dorea is thought to be a constituent of healthy gut microflora, its higher abundance in MS and IBD patients suggests a pro-inflammatory role for this bacterium. Recently, Schirmer et al. have shown that ceratin species of Dorea might be pro-inflammatory because they can induce IFNγ,34 metabolize sialic acids and degrade mucin.35 Thus, Dorea might be an example of a bacterium that exhibits either pro or anti-inflammatory roles depending on the surrounding gut bacteria and/or available nutrients. Indeed, as Blautia utilizes gases produced by Dorea, the increased abundance of Dorea in patients with MS might promote the growth of Blautia. Jangi et al.2 and Cekanaviciute et al.16 reported a higher abundance of another mucin-degrading bacterium Akkermansia among MS patients. Both studies suggested that Akkermansia muciniphila can promote the expansion of pro-inflammatory cytokines. It is possible that Dorea, which showed a higher abundance in our study, and Akkermansia, which showed higher abundance in other MS studies, can utilize a common pathway such as mucin degradation to induce proinflammatory responses resulting in predisposition/chronic inflammation in MS. Cekanaviciute et al. also reported that Acinetobacter calcoaceticus showing higher abundance in MS patients, was able to suppress differentiation of regulatory CD4 T cells and induce differentiation of pro-inflammatory Th1 cytokine.16 Pseudomonas aeruginosa, a member of the Pseudomonas genus, is a Gram-negative opportunistic pathogen and has been linked with several diseases, including MS. Pseudomonas aeruginosa has been shown to have amino acid homology with myelin basic protein, a major component of myelin and anti-sera against myelin basic protein (residues 110–124) were shown to be reactive against Pseudomonas peptide from carboxymuconolactone decarboxylase.36 Additionally, higher abundance of Pseudomonas aeruginosa was reported in mice on a high-fat diet, suggesting a role in high-fat diet–induced obesity and inflammation.37 The role of Mycoplana in health or disease is unknown.

Conclusion

It is difficult to say with certainty whether changes in gut microbiota is a cause or consequence of MS because MS patients have immunological and microbial changes months to years before clinical onset of the disease. Colonization of germ-free mice with gut bacteria positively or negatively associated with the disease might offer more insight into the significance of these bacteria in susceptibility versus protection from MS. In summary, the major conclusions from MS microbiome studies are that compared with healthy controls, MS patients have i) gut dysbiosis; ii) reduced Bacteroidetes phylum with lower abundance of certain genera such as Prevotella, Parabacteroides, and Bacteroides (which can induce Tregs); iii) higher abundance of certain Firmicutes such as Akkermansia and Dorea (which can metabolize mucin and induce pro-inflammatory cytokines); iv) depletion of ceratin Actinobacteria such as Adlercreutzia, Collinsella, and Slackia (anti-inflammatory) and Proteobacteria such as Sutterella; and v) higher abundance of certain Proteobacteria such as Acinetobacter calcoaceticus, Pseudomonas, and Mycoplana. These data suggest that gut microbiota might sustain a healthy state of the host by maintaining immune homeostasis, and subsequent changes that perturb this homeostasis can lead to negative consequences such as inflammatory diseases. Altogether, MS microbiome studies suggest that in MS patients, there is depletion of bacteria with the ability to induce immuno-regulatory cells and enrichment of bacteria with the ability to induce pro-inflammatory responses. Further research is needed to determine a role of gut microbiota and their metabolites in the susceptibility to and protection from MS.

Disclosure of potential conflicts of interest

No potential conflicts of interest were disclosed.

Funding

The authors to acknowledge funding support from National Multiple sclerosis Society (RG 5138A1/1T), the Carver College of Medicine University of Iowa (Pathology pilot grant), and the Mayo Clinic Center for Microbiome.

References

  • [1].Chen J, Chia N, Kalari KR, Yao JZ, Novotna M, Soldan MM, et al.. Multiple sclerosis patients have a distinct gut microbiota compared to healthy controls. Sci Rep 2016; 6:28484; PMID:27346372; https://doi.org/ 10.1038/srep28484 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [2].Jangi S, Gandhi R, Cox LM, Li N, von Glehn F, Yan R, Patel B, Mazzola MA, Liu S, Glanz BL, et al.. Alterations of the human gut microbiome in multiple sclerosis. Nat Commun 2016; 7:12015; PMID:27352007; https://doi.org/ 10.1038/ncomms12015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [3].Miyake S, Kim S, Suda W, Oshima K, Nakamura M, Matsuoka T, Chihara N, Tomita A, Sato W, Kim SW, et al.. Dysbiosis in the Gut Microbiota of Patients with Multiple Sclerosis, with a Striking Depletion of Species Belonging to Clostridia XIVa and IV Clusters. PLoS One 2015; 10:e0137429; PMID:26367776; https://doi.org/ 10.1371/journal.pone.0137429 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [4].Rothhammer V, Quintana FJ. Environmental control of autoimmune inflammation in the central nervous system. Curr Opin Immunol 2016; 43:46-53; PMID:27710839; https://doi.org/ 10.1016/j.coi.2016.09.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [5].Wang Y, Kasper LH. The role of microbiome in central nervous system disorders. Brain Behav Immun 2014; 38:1-12; PMID:24370461; https://doi.org/ 10.1016/j.bbi.2013.12.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [6].Backhed F, Ley RE, Sonnenburg JL, Peterson DA, Gordon JI. Host-bacterial mutualism in the human intestine. Science 2005; 307:1915-20; PMID:15790844; https://doi.org/ 10.1126/science.1104816 [DOI] [PubMed] [Google Scholar]
  • [7].Kinross JM, Darzi AW, Nicholson JK. Gut microbiome-host interactions in health and disease. Genome Med 2011; 3:14; PMID:21392406; https://doi.org/ 10.1186/gm228 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [8].Lozupone CA, Stombaugh JI, Gordon JI, Jansson JK, Knight R. Diversity, stability and resilience of the human gut microbiota. Nature 2012; 489:220-30; PMID:22972295; https://doi.org/ 10.1038/nature11550 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [9].Rescigno M. The intestinal epithelial barrier in the control of homeostasis and immunity. Trends Immunol 2011; 32:256-64; PMID:21565554; https://doi.org/ 10.1016/j.it.2011.04.003 [DOI] [PubMed] [Google Scholar]
  • [10].Zhang K, Hornef MW, Dupont A. The intestinal epithelium as guardian of gut barrier integrity. Cell Microbiol 2015; 17:1561-9; PMID:26294173; https://doi.org/ 10.1111/cmi.12501 [DOI] [PubMed] [Google Scholar]
  • [11].Blacher E, Levy M, Tatirovsky E, Elinav E. Microbiome-Modulated Metabolites at the Interface of Host Immunity. J Immunol 2017; 198:572-80; PMID:28069752; https://doi.org/ 10.4049/jimmunol.1601247 [DOI] [PubMed] [Google Scholar]
  • [12].Jarchum I, Pamer EG. Regulation of innate and adaptive immunity by the commensal microbiota. Curr Opin Immunol 2011; 23:353-60; PMID:21466955; https://doi.org/ 10.1016/j.coi.2011.03.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [13].Branton WG, Lu JQ, Surette MG, Holt RA, Lind J, Laman JD, Power C. Brain microbiota disruption within inflammatory demyelinating lesions in multiple sclerosis. Sci Rep 2016; 6:37344; PMID:27892518; https://doi.org/ 10.1038/srep37344 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [14].Cantarel BL, Waubant E, Chehoud C, Kuczynski J, DeSantis TZ, Warrington J, Venkatesan A, Fraser CM, Mowry EM. Gut microbiota in multiple sclerosis: possible influence of immunomodulators. J Investig Med 2015; 63:729-34; PMID:25775034; https://doi.org/ 10.1097/JIM.0000000000000192 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [15].Castillo Álvarez F, Pérez Matute P, Colina Lizuain S, Erdocia Goñi A, Iglesias Gutiérrez Cecchini C, Gómez Eguilaz M, et al.. Intestinal microbiota in multiple sclerosis: influence of treatment with interferon β-1b. European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS). London, UK: ECTRIMS Online Library, 2016:146290. [Google Scholar]
  • [16].Cekanaviciute E, Debelius JW, Singh S, Runia T, Nelson C, Yoo B, et al.. Gut dysbiosis is a feature of MS and it is characterized by bacteria able to regulate lymphocyte differentiation in vitro. 2016 European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS). London, 2016:147026. [Google Scholar]
  • [17].Tremlett H, Fadrosh DW, Faruqi AA, Hart J, Roalstad S, Graves J, Lynch S, Waubant E, US Network of Pediatric MS Centers . Gut microbiota composition and relapse risk in pediatric MS: A pilot study. J Neurol Sci 2016; 363:153-7; PMID:27000242; https://doi.org/ 10.1016/j.jns.2016.02.042 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [18].Tremlett H, Fadrosh DW, Faruqi AA, Hart J, Roalstad S, Graves J, Spencer CM, Lynch SV, Zamvil SS, Waubant E, et al.. Associations between the gut microbiota and host immune markers in pediatric multiple sclerosis and controls. BMC Neurol 2016; 16:182; PMID:27652609; https://doi.org/ 10.1186/s12883-016-0703-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [19].Tremlett H, Fadrosh DW, Faruqi AA, Zhu F, Hart J, Roalstad S, Graves J, Lynch S, Waubant E, US Network of Pediatric MS Centers . Gut microbiota in early pediatric multiple sclerosis: a case-control study. Eur J Neurol 2016; 23:1308-21; PMID:27176462; https://doi.org/ 10.1111/ene.13026 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [20].Human Microbiome Project C Structure, function and diversity of the healthy human microbiome. Nature 2012; 486:207-14; PMID:22699609; https://doi.org/ 10.1038/nature11234 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [21].Cai L, Ye L, Tong AH, Lok S, Zhang T. Biased diversity metrics revealed by bacterial 16S pyrotags derived from different primer sets. PLoS One 2013; 8:e53649; PMID:23341963; https://doi.org/ 10.1371/journal.pone.0053649 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [22].Kuczynski J, Lauber CL, Walters WA, Parfrey LW, Clemente JC, Gevers D, Knight R. Experimental and analytical tools for studying the human microbiome. Nat Rev Genet 2011; 13:47-58; PMID:22179717; https://doi.org/ 10.1038/nrg3129 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [23].Rajilic-Stojanovic M, Biagi E, Heilig HG, Kajander K, Kekkonen RA, Tims S, de Vos WM. Global and deep molecular analysis of microbiota signatures in fecal samples from patients with irritable bowel syndrome. Gastroenterology 2011; 141:1792-801; PMID:21820992; https://doi.org/ 10.1053/j.gastro.2011.07.043 [DOI] [PubMed] [Google Scholar]
  • [24].Mukhopadhya I, Hansen R, El-Omar EM, Hold GL. IBD-what role do Proteobacteria play? Nat Rev Gastroenterol Hepatol 2012; 9:219-30; PMID:22349170; https://doi.org/ 10.1038/nrgastro.2012.14 [DOI] [PubMed] [Google Scholar]
  • [25].Chung H, Kasper DL. Microbiota-stimulated immune mechanisms to maintain gut homeostasis. Curr Opin Immunol 2010; 22:455-60; PMID:20656465; https://doi.org/ 10.1016/j.coi.2010.06.008 [DOI] [PubMed] [Google Scholar]
  • [26].Shapiro H, Thaiss CA, Levy M, Elinav E. The cross talk between microbiota and the immune system: metabolites take center stage. Curr Opin Immunol 2014; 30:54-62; PMID:25064714; https://doi.org/ 10.1016/j.coi.2014.07.003 [DOI] [PubMed] [Google Scholar]
  • [27].Rios-Covian D, Ruas-Madiedo P, Margolles A, Gueimonde M, de Los Reyes-Gavilan CG, Salazar N. Intestinal Short Chain Fatty Acids and their Link with Diet and Human Health. Front Microbiol 2016; 7:185; PMID:26925050; https://doi.org/ 10.3389/fmicb.2016.00185 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [28].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; PMID:23748339; https://doi.org/ 10.1038/nrmicro3050 [DOI] [PubMed] [Google Scholar]
  • [29].Sivieri K, Morales ML, Adorno MA, Sakamoto IK, Saad SM, Rossi EA. Lactobacillus acidophilus CRL 1014 improved "gut health" in the SHIME reactor. BMC Gastroenterol 2013; 13:100; PMID:23758634; https://doi.org/ 10.1186/1471-230X-13-100 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [30].Maruo T, Sakamoto M, Ito C, Toda T, Benno Y. Adlercreutzia equolifaciens gen. nov., sp. nov., an equol-producing bacterium isolated from human faeces, and emended description of the genus Eggerthella. Int J Syst Evol Microbiol 2008; 58:1221-7; PMID:18450717; https://doi.org/ 10.1099/ijs.0.65404-0 [DOI] [PubMed] [Google Scholar]
  • [31].Schogor AL, Huws SA, Santos GT, Scollan ND, Hauck BD, Winters AL, Kim EJ, Petit HV. Ruminal Prevotella spp. may play an important role in the conversion of plant lignans into human health beneficial antioxidants. PLoS One 2014; 9:e87949; PMID:24709940; https://doi.org/ 10.1371/journal.pone.0087949 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [32].Tsuchihashi R, Sakamoto S, Kodera M, Nohara T, Kinjo J. Microbial metabolism of soy isoflavones by human intestinal bacterial strains. J Nat Med 2008; 62:456-60; PMID:18648905; https://doi.org/ 10.1007/s11418-008-0271-y [DOI] [PubMed] [Google Scholar]
  • [33].Spence RD, Voskuhl RR. Neuroprotective effects of estrogens and androgens in CNS inflammation and neurodegeneration. Front Neuroendocrinol 2012; 33:105-15; PMID:22209870; https://doi.org/ 10.1016/j.yfrne.2011.12.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [34].Schirmer M, Smeekens SP, Vlamakis H, Jaeger M, Oosting M, Franzosa EA, Horst RT, Jansen T, Jacobs L, Bonder MJ, et al.. Linking the Human Gut Microbiome to Inflammatory Cytokine Production Capacity. Cell 2016; 167:1897; PMID:27984736; https://doi.org/ 10.1016/j.cell.2016.11.046 [DOI] [PubMed] [Google Scholar]
  • [35].Crost EH, Tailford LE, Le Gall G, Fons M, Henrissat B, Juge N. Utilisation of mucin glycans by the human gut symbiont Ruminococcus gnavus is strain-dependent. PLoS One 2013; 8:e76341; PMID:24204617; https://doi.org/ 10.1371/journal.pone.0076341 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [36].Hughes LE, Smith PA, Bonell S, Natt RS, Wilson C, Rashid T, Amor S, Thompson EJ, Croker J, Ebringer A. Cross-reactivity between related sequences found in Acinetobacter sp., Pseudomonas aeruginosa, myelin basic protein and myelin oligodendrocyte glycoprotein in multiple sclerosis. J Neuroimmunol 2003; 144:105-15; PMID:14597104; https://doi.org/ 10.1016/S0165-5728(03)00274-1 [DOI] [PubMed] [Google Scholar]
  • [37].Qiao Y, Sun J, Xie Z, Shi Y, Le G. Propensity to high-fat diet-induced obesity in mice is associated with the indigenous opportunistic bacteria on the interior of Peyer's patches. J Clin Biochem Nutr 2014; 55:120-8; PMID:25320459; https://doi.org/ 10.3164/jcbn.14-38 [DOI] [PMC free article] [PubMed] [Google Scholar]

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