<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2022.966417</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Obesity induced gut dysbiosis contributes to disease severity in an animal model of multiple sclerosis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Shahi</surname>
<given-names>Shailesh K.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/295474"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ghimire</surname>
<given-names>Sudeep</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1386129"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lehman</surname>
<given-names>Peter</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Mangalam</surname>
<given-names>Ashutosh K.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/487456"/>
</contrib>
</contrib-group>    <aff id="aff1">
<sup>1</sup>
<institution>Department of Pathology, University of Iowa</institution>, <addr-line>Iowa City, IA</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Graduate Program in Immunology, University of Iowa</institution>, <addr-line>Iowa City, IA</addr-line>, <country>United States</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Graduate Program in Molecular Medicine, University of Iowa</institution>, <addr-line>Iowa City, IA</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Pavan Bhargava, Johns Hopkins Medicine, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Mirjana Dimitrijevi&#x107;, University of Belgrade, United States; Yanjiao Zhou, UCONN Health, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Ashutosh K. Mangalam, <email xlink:href="mailto:ashutosh-mangalam@uiowa.edu">ashutosh-mangalam@uiowa.edu</email>; Shailesh K. Shahi, <email xlink:href="mailto:shailesh-shahi@uiowa.edu">shailesh-shahi@uiowa.edu</email>
</p>
</fn>
<fn fn-type="other" id="fn003">
<p>&#x2020;ORCID: Shailesh K. Shahi, <uri xlink:href="https://orcid.org/0000-0002-8506-7655">orcid.org/0000-0002-8506-7655</uri>; Ashutosh K. Mangalam, <uri xlink:href="https://orcid.org/0000-0002-9926-2531">orcid.org/0000-0002-9926-2531</uri></p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Multiple Sclerosis and Neuroimmunology, a section of the journal Frontiers in Immunology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>09</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>966417</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>06</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>08</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Shahi, Ghimire, Lehman and Mangalam</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Shahi, Ghimire, Lehman and Mangalam</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Multiple sclerosis (MS) is an inflammatory and demyelinating disease of the CNS. The etiology of MS is complex, and results from the interaction of multiple environmental and genetic factors. Although human leukocyte antigen-HLA alleles such as HLA-DR2 and &#x2013;DR3 are considered the strongest genetic factors, the environmental factors responsible for disease predisposition are not well understood. Recently, diet and gut microbiota have emerged as an important environmental factors linked to the increased incidence of MS. Especially, western diets rich in<bold>&#xa0;</bold>protein and fat have been linked to the increased incidence of obesity. Numerous clinical data indicate a role of obesity and gut microbiota in MS; however, the mechanistic link between gut microbiota and obesity in the pathobiology of MS remains unclear. The present study determines the mechanisms driving MS severity in the context of obesity utilizing a high-fat diet (HFD) induced obese HLA-DR3 class-II transgenic mouse model of MS.</p>
</sec>
<sec>
<title>Methods</title>
<p>HLA-DR3 transgenic mice were kept on a standard HFD diet or Normal Chow (NC) for eight weeks. Gut microbiota composition and functional analysis were performed from the fecal DNA of mice. Experimental autoimmune encephalomyelitis-EAE (an animal model of MS) was induced by immunization with the proteolipid protein-PLP<sub>91-110</sub> peptide in complete Freud&#x2019;s Adjuvant (CFA) and pertussis toxin.</p>
</sec>
<sec>
<title>Results</title>
<p>We observed that HFD-induced obesity caused gut dysbiosis and severe disease compared to mice on NC. Amelioration of disease severity in mice depleted of gut microbiota suggested an important role of gut bacteria in severe EAE in obese mice. Fecal microbiota analysis in HFD mice shows gut microbiota alterations with an increase in the abundance of&#xa0;<italic>Proteobacteria</italic>&#xa0;and&#xa0;<italic>Desulfovibrionaceae</italic>&#xa0;bacteria and modulation of various bacterial metabolic pathways including bacterial hydrogen sulfide biosynthetic pathways. Finally, mice on HFD showed increased gut permeability and systemic inflammation suggesting a role gut barrier modulation in obesity induced disease severity.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>This study provides evidence for the involvement of the gut microbiome and associated metabolic pathways plus gut permeability in obesity-induced modulation of EAE disease severity. A better understanding of the same will be helpful to identify novel therapeutic targets to reduce disease severity in obese MS patients.</p>
</sec>
</abstract>
<kwd-group>
<kwd>obesity</kwd>
<kwd>multiple sclerosis</kwd>
<kwd>gut microbiota</kwd>
<kwd>experimental autoimmune encephalomyelitis</kwd>
<kwd>HLA-class II transgenic mice</kwd>
<kwd>gut permeability</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="52"/>
<page-count count="13"/>
<word-count count="5691"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Multiple sclerosis (MS) is a heterogeneous immune-mediated inflammatory and demyelinating disease of the central nervous system (CNS). MS affects over 2.8 million people worldwide with nearly one million in the US (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). The etiology of MS is complex and results from the interaction between genetic and multiple environmental factors. Genetic factors account for approximately 30% of disease risk as determined from studies of identical twins (<xref ref-type="bibr" rid="B3">3</xref>), and among genetic factors, human leukocyte antigen (HLA) genes on chromosome 6 especially certain HLA-class II alleles such as HLA-DR2 and &#x2013;DR3 are recognized as the strongest genetic factors associated with predisposition to MS (<xref ref-type="bibr" rid="B4">4</xref>). In addition, environmental factors account for 70% of disease risk (<xref ref-type="bibr" rid="B5">5</xref>), however, how these are linked with the predisposition to, or protection from, MS is unknown. Recently, gut microbiota have emerged as a potential environmental factor that can contribute to the etiopathogenesis of MS (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>). Additionally, diet is recognized as one of the major factors that contribute to the composition of gut microbiota (<xref ref-type="bibr" rid="B11">11</xref>).Western diet, rich in protein and fat have emerged as important factors contributing to the increased incidence of obesity (650 million people worldwide and 100 million in USA) and inflammatory diseases, including MS in developed countries (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). Multiple studies have shown that MS patients have an altered gut microbiota (dysbiosis) compared to healthy individuals (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B10">10</xref>), and gut microbial dysbiosis has also been linked with obesity (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). However, the mechanism by which interaction between High Fat Diet (HFD) and gut microbiota regulate disease severity/progression in MS is unknow.</p>
<p>Gut microbiota is key to host physiology and energy balance. The transfer of gut microbiota from obese human/mouse donors into germ-free recipient mice have resulted in transfer of obesity indicating the importance of gut microbiota in induction of obesity (<xref ref-type="bibr" rid="B16">16</xref>). Additionally, transfer of gut bacteria from MS patients to germ-free mice resulted in severe experimental autoimmune encephalomyelitis-EAE (an animal model of MS) compared with EAE in mice that received microbiota from healthy controls (<xref ref-type="bibr" rid="B17">17</xref>), demonstrating that physiology of recipient mice was modified to resemble that of the donors. Furthermore, MS patients with a higher body mass index (BMI) have more severe disease compared to MS patients with low BMI (<xref ref-type="bibr" rid="B10">10</xref>). However, to our knowledge, there is no study on the effects of obesity on the gut microbiome and its implications on the disease severity in MS or EAE. Thus, there is a critical need to understand how obesity affects the gut microbiome and the severity of MS/EAE.</p>
<p>Therefore, in the present study, we utilized HFD induced obesity model in HLA-DR3 transgenic mice to show that obese mice develop severe EAE with increased mortality compared to mice on a normal chow (NC) diet. Altered gut microbiota in mice on a HFD group suggest a role of gut microbiome in the development of sever disease in obese mice. Depletion of gut microbiota reduced disease severity in HFD-induced obese mice, suggesting a critical role of gut bacteria in the induction of severe EAE. Altered gut microbiota in HFD-induce obese mice showed an increased abundance of <italic>Proteobacteria</italic> and <italic>Desulfovibrionaceae</italic> family with enrichment of sulfur metabolism, lipopolysaccharide biosynthesis, and long chain fatty acid biosynthesis (LCFA) pathways linked with inflammation. Thus, our study shows that obesity leads to severe EAE disease in HLA-DR3 transgenic mice through alteration of gut microbiota and enrichment of metabolic pathways linked with the induction of pro-inflammatory pathways.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Mice and dietary treatment</title>
<p>HLA-DR3 (lacking endogenous murine major histocompatibility complex (MHC) class II gene express HLA-DRB1*0301) transgenic mice on B6/129 background have been described previously (<xref ref-type="bibr" rid="B18">18</xref>). These mice will be referred to as HLA-DR3 transgenic mice throughout the text. 6-8 weeks old mice were placed on either HFD (45&#xa0;kcal % fat) or Normal chow <italic>ad libitum</italic> for 8 weeks. HFD contained approximately 45&#xa0;kcal % fat and dextrose were purchased from Research Diets Inc. (D16020603, New Brunswick, New Jersey, USA). Mice in the control group were fed a Normal Chow (NC) diet available at the animal facilities at the University of Iowa (Envigo 7013). Mice were bred and maintained in the University of Iowa animal facility in accordance with NIH and institutional guidelines. All experiments were approved by the Institutional Animal Care and Use Committee at the University of Iowa.</p>
</sec>
<sec id="s2_2">
<title>EAE disease induction and evaluation</title>
<p>HLA-DR3 transgenic mice (8 to 12 weeks old) were immunized subcutaneously in both flanks using 25 &#xb5;g of PLP<sub>91&#x2013;110</sub> peptides (GenScript, NJ, USA) that was emulsified in CFA containing <italic>Mycobacterium tuberculosis</italic> H37Ra (100 &#x3bc;g/mouse; Becton, Dickinson and Company, Sparks, MD, USA) (<xref ref-type="bibr" rid="B18">18</xref>). C57BL/6J mice were immunized subcutaneously (s.c.) on day 0 on the both flank with 100 &#xb5;g of MOG<sub>35-55</sub> emulsified in CFA containing <italic>Mycobacterium tuberculosis</italic> H37Ra (100 &#x3bc;g/mouse). Pertussis toxin (PTX) (Sigma Chemicals, St. Louis, MO, 80 ng) was administered intraperitoneally (<italic>i.p</italic>.) in both HLA-DR3 (PLP<sub>91&#x2013;110</sub> model) and B6 (MOG<sub>35-55</sub>) mice at days 0 and 2 post immunization. Animals were observed daily for clinical disease up to day 25. Disease severity was scored according to the standard 0-5 scoring system described previously (<xref ref-type="bibr" rid="B18">18</xref>). Briefly, 0 score for normal; 1, loss of tail tonicity; 2, hind limb weakness; 3, hind limb paralysis; 4, complete hind limb paralysis and forelimb paralysis or weakness; 5, moribund/death.</p>
</sec>
<sec id="s2_3">
<title>Gut microbiota depletion</title>
<p>Gut microbiota was depleted in HLA-DR3 transgenic and C57BL/6J mice kept on HFD or NC diet using antibiotic cocktail (0.5 g/L vancomycin, 1 g//L neomycin, 1 g/L metronidazole, and 1 g/L ampicillin) in drinking water for four weeks as per stander protocol (<xref ref-type="bibr" rid="B19">19</xref>). HLA-DR3 transgenic mice or C57BL/6J mice were divided in four groups <italic>viz</italic>. HFD plus antibiotics, NC plus antibiotics, HFD plus water, and NC plus water. HFD plus antibiotics, NC plus antibiotics fed with HFD or NC diet and broad spectrum antibiotic cocktail were supplemented in drinking water for four weeks. Mice in control group (HFD plus water, and NC plus water) were kept on HFD or NC diet and supplemented with water for four weeks. After four weeks on sterile or antibiotic water, EAE were induced disease were recorded in above four groups of mice.</p>
</sec>
<sec id="s2_4">
<title>Microbiome analysis</title>
<p>HLA-DR3 transgenic mice were kept on a HFD and NC and after 8 weeks on diet specific fecal samples were collected. Microbial DNA extraction, 16S rRNA amplicon, and sequencing were performed as described previously (<xref ref-type="bibr" rid="B20">20</xref>). Briefly, total DNA was isolated from the samples using Qiagen PowerSoil DNA isolation kit (MoBio now part of QIAGEN, Valencia, CA, USA) using manufacturer&#x2019;s instructions. The DNA was quantified using Qubit dsDNA HS (High Sensitivity) assay kit (Thermo Fisher Scientific, CA, USA) and kept at -80<sup>0</sup>C until further analysis. Sequencing was performed using MiSeq platform by amplifying V3-V4 region of the 16S rRNA gene. Downstream analysis of <italic>fastq</italic> files was conducted using <italic>dada2</italic> script in R (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>), to generate amplicon sequence variants (ASVs) which were then assigned to taxonomy using a naive Bayesian classifier with the Silva database (<xref ref-type="bibr" rid="B21">21</xref>). The ASV table was further analyzed in R v4.1.0 using <italic>phyloseq</italic> package (<xref ref-type="bibr" rid="B22">22</xref>). Nineteen samples (Pre-diet = 9, HFD=5 and NC=5) were processed to determine the diversity and community composition after removing a sample from prediet group (PreHFD5) which had a low number of reads. Alpha diversity was measured using number of observed ASVs, and Shannon diversity. Kruskal Wallis test followed by pairwise Wilcoxon test was performed and p-value was adjusted using Benjamini Hochberg (BH) method with adjusted p-value cutoff at 0.05. The ASVs were then filtered to remove those whose total abundance across all samples was &lt; 10 reads in at least 20% of the samples. Samples were rarefied to 13,000 reads and beta diversity was analyzed using bray-curtis dissimilarity and weighted unifrac metrices. Furthermore, <italic>picrust2</italic> (<xref ref-type="bibr" rid="B23">23</xref>) was used with the ASV table to obtain the functional pathways associated by mapping to MetaCyc database. Linear discrimination of effect size (Lefse) analysis (<xref ref-type="bibr" rid="B24">24</xref>) was used to identify the differentially abundant taxa (<italic>lda_cutoff</italic> = 2) and functional pathways (<italic>lda_cutoff</italic> = 3) at <italic>kw_cutoff</italic> = 0.01 <italic>and wilcoxon_cutoff</italic> =0.01.</p>
</sec>
<sec id="s2_5">
<title>Intestinal permeability and inflammatory mediators measurement</title>
<p>To measure intestinal permeability, mice were orally gavaged with 4 kDa FITC labeled dextran and serum was collected at subsequent time points for measurement of fluorescence and compared to pre-oral gavage serum as described previously (<xref ref-type="bibr" rid="B25">25</xref>). Fatty Acid Binding Protein 2 (FABP2) concentrations in serum were analyzed by enzyme linked immunosorbent assay (ELISA DuoSet, R&amp;D, MN, USA) according to the manufacturer&#x2019;s protocol. Concentrations of MCP-1a, CXCL-5, and CCL-11 were measured using cytometric bead array (CBA) kits (BD Bioscience) according to manufacturer&#x2019;s instructions.</p>
</sec>
<sec id="s2_6">
<title>Statistical analysis</title>
<p>When comparing average clinical EAE scores, differences between groups were assessed by 2-way ANOVA Sidak multiple comparisons test. Mann&#x2013;Whitney rank-sum test when comparing only two groups in cumulative EAE scores. Statistical analyses were done with GraphPad Prism 9 (GraphPad Software, La Jolla, CA). A value of <italic>p</italic> &#x2264; 0.05 was considered significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>HFD-induced obesity results in severe EAE</title>
<p>We used a standard HFD induced obesity model in HLA-DR3 transgenic mice which had been validated as an animal model of MS (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B26">26</xref>). Six to eight-week-old HLA-DR3 transgenic mice were kept on a standard HFD diet or normal chow (NC) diet for eight weeks before induction of EAE (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). HLA-DR3 transgenic mice kept on a HFD showed significant weight gain (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1</bold>
</xref>) compared to mice on NC diet (NC vs HFD; 29.04 gm &#xb1; 3.60 vs 37.2 gm &#xb1; 3.3, <italic>p</italic> &lt; 0.02) validating the use of HLA-DR3 transgenic mice for studying HFD induced obesity. As shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>, HLA-DR3 transgenic mice on a HFD diet showed higher average daily clinical score compared to those fed with NC diet. Additionally, HLA-DR3 fed with HFD showed a higher cumulative EAE score (HFD <italic>vs</italic>. NC; 51.57 &#xb1; 11.72 <italic>vs.</italic> 37.33 &#xb1; 6.73, <italic>p</italic> =0.008) plus increased mortality compared to mice on NC diet (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1C, D</bold>
</xref>). Disease onset was similar in mice fed with HFD or NC. These findings were replicated in a separate EAE model: C57BL/6 mice were immunized with MOG<sub>35-55</sub>/CFA (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S2A&#x2013;D</bold>
</xref>). These results indicate that HFD induced obesity in HLA-DR3 mice resulted in the development of severe EAE compared to mice on NC.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>High fat diet (HFD) increases EAE severity in HLA-DR3 transgenic mice. <bold>(A)</bold> Model diagram representing day of diet initiation, EAE induction and disease scoring in HLA-DR3 transgenic mice. 6-8 weeks old HLA-DR3 transgenic mice were kept on Normal Chow (n= 6) and HFD (n= 7) for eight weeks. Mice were immunized with PLP<sub>91-110</sub>/CFA and pertussis toxin at days 0 and 2 to induce EAE. Mice were monitored for EAE disease progression before euthanizing on day 25 post-immunization. <bold>(B)</bold> Average clinical EAE scores from mice in A, acquired over time. <bold>(C)</bold> Cumulative EAE scores from mice in A. <bold>(D)</bold> Percent survival of mice in <bold>(A)</bold>, Data are representative of 3 independent experiments with 3-5 mice per group. Error bars represent the standard error of the mean for each experimental group. <italic>p</italic>-value was determined by 2-way ANOVA Sidak multiple comparisons test <bold>(B)</bold>, and Mann-Whitney test between the experimental groups <bold>(C)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-966417-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>Depleting the gut microbiota in HFD-induced obese HLA-DR3 transgenic mice C57BL/6J mice decreases EAE severity</title>
<p>As diet have strongest influence on the composition of host gut microbiota which in turn can regulate host physiology (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>), we hypothesize that HFD induced obesity caused severe disease through modulation of gut microbiota. To test our hypothesis, we depleted gut microbiota of HLA-DR3 transgenic mice on a HFD or NC diet using broad spectrum antibiotic cocktail in drinking water for four weeks. Mice in control group were kept on HFD or NC diet and supplemented with water till induction of EAE. After four weeks on sterile or antibiotic water, EAE was induced in the above four groups of mice (HFD plus antibiotics, NC plus antibiotics, HFD plus water, and NC plus water) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Depletion of gut bacteria in HFD induced obese mice exhibited significant amelioration of EAE compared to gut microbiota sufficient mice on a HFD or NC diet (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;2B, C</bold>
</xref>). Similarly, mice on a NC diet and treated with Abx showed milder disease compared to untreated mice on a NC diet. These findings were replicated in a separate EAE model: C57BL/6 mice were immunized with MOG<sub>35-55</sub>/CFA (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S3A&#x2013;C</bold>
</xref>). Thus, reduction of severe disease in HFD mice lacking gut bacteria indicate a critical role of gut microbiota in the development of severe disease in HLA-DR3 transgenic mice.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Gut bacteria depletion in HFD fed HLA-DR3 transgenic mice ameliorate EAE. <bold>(A)</bold> Model diagram representing day of diet initiation, antibiotics treatment, EAE induction and disease scoring in HLA-DR3 mice. 6-8-week-old male HLA-DR3 transgenic mice were placed on a HFD or a normal chow diet for 4 weeks while receiving broad spectrum antibiotics in the drinking water followed by immunization with PLP<sub>91-110</sub>/CFA to induce EAE. <bold>(B)</bold> Comparison of mean clinical scores in mice fed a HFD or normal chow diet and while receiving broad spectrum antibiotics in the drinking water. <bold>(C)</bold> Cumulative EAE scores from mice as in <bold>(A)</bold>. Data are representative of 4 mice per group. Error bars represent the standard error of the mean for each experimental group. <italic>p</italic>-value was determined by 2way ANOVA test <bold>(B, C)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-966417-g002.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>HFD-induced obesity alters the gut microbiota</title>
<p>As depletion of gut microbiota resulted in loss of severe EAE in obese mice, next we investigated a direct effect of HFD-induced obesity on gut microbiota composition to identify the specific bacteria linked with disease modulation. We kept HLA-DR3 transgenic mice on HFD or NC for 8 weeks and performed 16S ribosomal RNA (rRNA) (V3-V4) sequencing of bacterial DNA isolated from their feces. We observed that the total number of observed ASVs (amplicon sequence variants) were significantly reduced in mice kept on HFD compared to mice on NC diet (<italic>p</italic>=0.018) and prediet (<italic>p</italic>=0.01) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). At the same time, no significant change was observed between prediet and NC conditions (<italic>p</italic>=0.22) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). Similar trends were observed with Shannon diversity (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). The analysis of beta diversity indicated that the microbial communities formed in the context of a HFD were significantly different compared to those from mice fed NC or from pre-diet samples (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3C, D</bold>
</xref>). When comparing the NC with HFD, the relative abundances of <italic>Proteobacteria</italic> was increased while <italic>Patescibacteria</italic> was decreased at phylum level (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S4A</bold>
</xref>). Similarly, at family level, <italic>Desulfovibrionacaeae</italic>, <italic>Bacteroidaceae</italic>, <italic>Lachnospiraceae</italic> and <italic>Tanerellaceae</italic> were increased while <italic>Muribaculaceae</italic> was reduced (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S4B</bold>
</xref>). Upon <italic>lefse</italic> analysis, taxa belonging to <italic>Desulfovibrionaceae</italic> family and <italic>Proteobacteria</italic> phylum along with <italic>Bacteroides</italic> genus were significantly enhanced in mice on a HFD when compared to mice on a NC (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3E</bold>
</xref>). Gut microbiota changes between the NC diet and prediet conditions were smaller compared to gut microbiota changes observed in HFD group. Microbial taxa belonging to <italic>Muribaculaceae</italic> and <italic>Lachnospiraceae</italic> were significantly increased in NC diet and similar microbial enrichments were observed in the prediet condition compared with HFD group (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3F</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S4B</bold>
</xref>), suggesting that changes in HFD group is not age associated but due to HFD. Thus, our findings indicate that disease severity in HFD-induced obese mouse was associated with alteration of gut microbiota with an increased abundance of <italic>Proteobacteria</italic> phylum, and <italic>Desulfovibrionaceae</italic> family bacteria.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>HFD induced obesity causes change in gut microbiota in HLA-DR3 transgenic mice. Amplicon based microbial diversity of mice on a prediet (n=9), a high fat diet (HFD, n=5) or normal chow (NC, n=5). Alpha diversity measures obtained using <bold>(A)</bold> Observed taxa, <bold>(B)</bold> Shannon diversity. PCOA plot representing beta diversity index measured using <bold>(C)</bold> Bray-curtis dissimilarity metrics, <bold>(D)</bold> Weighted unifrac measures among the groups. <bold>(E)</bold> Bar plot representing significantly altered taxa between HFD and NC, and <bold>(F)</bold> HFD and prediet conditions following lefse analysis in R among all taxonomic ranks with <italic>lda_cutoff</italic> of 2 and <italic>wilcoxon_cutoff</italic> of 0.01, and <italic>kw_cutoff</italic> of 0.01 respectively. Kruskal wallis (KW) test was performed for <bold>(A&#x2013;C)</bold> followed by pairwise comparison using wilcox test and <italic>p</italic>-value with Benjamini Hochberg (BH) correction. <italic>adonis</italic> test was performed for <bold>(D, E)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-966417-g003.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>HFD induced obesity increases abundance of key biosynthesis pathways associated with gut inflammation</title>
<p>To determine the functional profile of the microbiota from the HFD and NC groups, we performed functional analysis using PICRUSt2 (<xref ref-type="bibr" rid="B18">18</xref>) and the MetaCyc database. Functionally, the HFD and NC diet or prediet microbial communities were distinctly separated (<italic>p</italic>=0.001) from one another (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>) indicating major functional changes in the HFD group compared to NC or prediet conditions. Further comparison of pathways between NC and HFD exhibited significant enrichment of sulfur metabolism, long chain fatty acid biosynthesis, lipopolysaccharide biosynthesis, and Vitamin K metabolism in HFD group (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S5</bold>
</xref>). Identical enrichment of the metabolic pathways was observed in HFD when compared to the prediet conditions (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S5</bold>
</xref>). Interestingly, no such changes were observed between the NC diet and prediet conditions (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4D</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S5</bold>
</xref>). Altogether, functional analysis of microbiome data shows a significant alteration of the metabolic pathways in HFD compared to NC or prediet conditions which suggest that HFD induced alteration of gut microbial metabolic pathway might have contributed to the severity of the EAE in HFD fed mice.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Functional investigation of the microbial communities in HLA-DR3 Transgenic Mice Fed with HFD and NC. <bold>(A)</bold> PCoA representing differentially clustering patterns of HFD, NC and prediet communities using Bray Curtis dissimilarity metrics. Lefse analysis showing functional pathways significantly enriched in <bold>(B)</bold> HFD compared to NC, <bold>(C)</bold> HFD compared to prediet conditions and, <bold>(D)</bold> NC and prediet conditions. Lefse analysis was carried out with <italic>lda_cutoff</italic> of 3 and <italic>wilcoxon_cutoff</italic> of 0.01, and <italic>kw_cutoff</italic> of 0.01 respectively with other parameters remaining default. Functional pathways related to sulfur metabolism, long chain fatty acid synthesis, lipopolysaccharides and vitamin K are represented by &#x201c;S&#x201d;, &#x201c;L&#x201d;, &#x201c;LPS&#x201d; and &#x201c;K&#x201d; respectively in <bold>(B&#x2013;D)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-966417-g004.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>HFD- induced obesity increases gut permeability</title>
<p>One of the mechanisms through which gut dysbiosis can cause inflammation is by increasing the gut permeability that leads to leakage of bacterial products and inflammatory mediator markers into systemic circulation. Increased gut permeability and high serum levels of intestinal-fatty acid binding proteins (FABP2) are a potential biomarker of compromised intestinal barrier (<xref ref-type="bibr" rid="B27">27</xref>). We argued that HFD induced obesity and associated gut microbiota alteration might cause intestinal damage leading to increased gut permeability and FABP2 expression levels in systemic circulation. To test the same, we kept mice on HFD or NC diet for 8 weeks (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>) and measured the plasma levels of FABP2 in both groups. Plasma FABP2 levels were higher in mice kept on HFD compared to mice on NC diet (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>). To further confirm that HFD-induced obesity increases gut permeability, we performed an FITC-dextran intestinal permeability assay which is a surrogate of leaky gut (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>). The mice on HFD showed higher FITC- absorbance in sera at 2 hours after gavage with FITC-dextran suggesting an increase in intestinal permeability in mice on HFD compared to mice on a NC diet (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>). Thus, our findings suggest that alterations in the gut microbiota composition and function can induce gut permeability with increased intestinal markers in systemic circulation in HFD fed mice. This can induce pro-inflammatory mediators which may be involved in EAE severity.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>A High Fat Diet results in increase gut permeability. <bold>(A)</bold> Schematic of experimental design. 6-8-week old male mice were placed on the indicated diet for 8 weeks prior to FITC-dextran permeability assay and FABP2 assay. For FITC-dextran permeability assay, mice on either diet were fasted for 6 hours prior to oral treatment with 4 kDa FITC-dextran. Serum samples were taken 2 hours post-treatment. Sera level of FITC was measured, using a spectrophotometer, as a measurement of intestinal permeability. For FABP2 assay, blood sera samples were analyzed by ELISA as per manufacturer protocol. <bold>(B)</bold> FABP2 concentrations in HFD and Normal chow mice. <bold>(C)</bold> 4 kDa FITC-dextran level in HFD and Normal chow mice. Error bars represent the standard error of the mean for each experimental group. <italic>p-</italic>value was determined by Mann-Whitney test between the experimental groups in <bold>(B, C)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-966417-g005.tif"/>
</fig>
</sec>
<sec id="s3_6">
<title>HFD- induced obesity in HLA-DR3 transgenic mice increases pro-inflammatory cytokine levels</title>
<p>Increased levels of pro-inflammatory cytokines and chemokines, associated with a low-grade inflammatory state, have been found in obese individuals (<xref ref-type="bibr" rid="B28">28</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>). We measured levels of pro-inflammatory cytokines and chemokines using a Bioplex assay after keeping HLA-DR3 transgenic mice on HFD or NC diet for 5 weeks (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). We observed that levels of MCP1-&#x3b1; and CCL-11 were significantly increased in mice fed with HFD (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6B, C</bold>
</xref>) whereas, CXCL5 levels were significantly decreased in HFD mice compared to mice on a NC diet. (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6D</bold>
</xref>). Thus, mice on HFD have increased levels of MCP1-&#x3b1; and CCL-11 chemokine compared to mice on NC diet which point towards their potential role in modulating EAE severity.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>A High Fat Diet results in increase pro-inflammatory cytokines. <bold>(A)</bold> Schematic of experimental design. 6-8-week old HLA-DR3 transgenic male mice were placed on the indicated diet and after 5 weeks sera were collected from blood. MCP-1a concentrations post diet <bold>(B)</bold>, CCL-11 concentrations post diet <bold>(C)</bold>, CXCL-5 concentrations post diet <bold>(D)</bold>. Error bars represent the standard error of the mean for each experimental group. <italic>p</italic>-value was determined by 2way ANOVA Sidak multiple comparisons test for <bold>(B&#x2013;D)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-966417-g006.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In the last few years epidemiological studies have shown that obesity increases the risk and severity (frequent disease relapse) of MS (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B31">31</xref>). Although gut dysbiosis (altered microbial flora compared to healthy control) emerged as crucial environmental factor in both obesity (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>) and MS (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B10">10</xref>), the importance of obesity on the gut microbiome and its implications on the severity of MS is unknown. In the present study, utilizing HLA-DR3 transgenic mouse model of MS, we showed that HFD- induced obesity increased EAE severity through modulation of gut microbiota. Specifically, mice on HFD showed an&#xa0;enrichment of <italic>Proteobacteria</italic> and <italic>Desulfovibrionaceae</italic> bacteria. Additionally, functional analysis showed an increase in sulfur metabolism, lipopolysaccharide, and long chain fatty acid bacterial pathways. Finally, HFD mice also showed feature of leaky gut characterized by increased gut&#xa0;permeability, translocation of intestinal protein and high levels of pro-inflammatory mediators in systemic circulation. Collectively, our results suggest that obesity causes severe disease in the animal model of MS through alteration of gut microbiota and metabolic pathways resulting&#xa0;in leaky gut and systemic pro-inflammatory immune response.</p>
<p>Our data on induction of severe EAE in HFD mice indicate that environmental factors specifically diet and gut microbiome have strong influence on autoimmune disease such as MS. Previous studies have also shown that HFD induces severe EAE in C57BL/6J mice (<xref ref-type="bibr" rid="B32">32</xref>). These studies reported that HFD causes an increase in pro-inflammatory cytokines such as TNF-&#x3b1;, IL-6 and CCL-2 that can expand pro-inflammatory Th17 subset which can induce severe EAE. However, these studies did not provide mechanisms through which HFD can cause an increase in pro-inflammatory response. Here we provide the missing link between HFD induced obesity and severe EAE disease. Our data indicate that gut microbiome and associated metabolic pathways induced in mice on HFD is one of the mechanisms through which obesity can modulate EAE. Loss of disease severity in mice depleted of gut bacteria (Abs Rx) further strengthen our hypothesis that HFD-induced changes in gut microbiota are responsible for HFD mediated pathogenic response.</p>
<p>HFD mice showed significantly reduced alpha diversity in comparison to normal chow and pre diet mice as seen previously (<xref ref-type="bibr" rid="B33">33</xref>). Microbial diversity is a critical parameter as diversity directly affects the ability of the microbiome to resist pathogenic bacterial invasion (<xref ref-type="bibr" rid="B34">34</xref>). Furthermore, excess nutrient loading can cause decreased microbial diversity as a small number of species can overgrow and outcompete other species (<xref ref-type="bibr" rid="B34">34</xref>). The consequences of low bacterial diversity are highlighted in human diseases. For example, studies have shown that patients with inflammatory bowel disease (IBD) have lower bacterial diversity in comparison to healthy controls (<xref ref-type="bibr" rid="B35">35</xref>). HFD induced obese mice may be particularly susceptible to pathogen invasion due to reduced alpha diversity leading to a pro-inflammatory state thereby exacerbating EAE. Our study provides an unique insight into gut microbiota differences between HFD and NC, in the context of EAE, opening the door for further studies characterizing the impact of HFD induced gut bacteria on EAE pathogenesis.</p>
<p>Beside bacterial diversity, HFD mice have a distinct microbiota composition in comparison to standard normal chow diet. The alterations in microbiota composition are highlighted by an increase in <italic>Proteobacteria</italic>, and <italic>Desulfovibrionaceae Proteobacteria</italic> have been associated with a pro-inflammatory state and have been shown to be significantly increased in Ulcerative colitis (UC) patients (<xref ref-type="bibr" rid="B36">36</xref>). <italic>Proteobacteria</italic> have also been shown to be positively correlated with UC severity (<xref ref-type="bibr" rid="B36">36</xref>). Notably, transfer of <italic>Proteobacteria</italic> species were sufficient to provoke UC in mice without any genetic immune defects (<xref ref-type="bibr" rid="B37">37</xref>). Additionally, TLR5 deficient mice spontaneously develop colitis and exhibit dysbiosis characterized by an outgrowth of <italic>Proteobacteria.</italic> These data indicate a pro-inflammatory role of <italic>Proteobacteria</italic> in the gut. Therefore, enhanced growth of <italic>Proteobacteria</italic> in HFD mice may exacerbate gut inflammation leading to systemic inflammation and CNS autoimmunity. Further, within <italic>Proteobacteria</italic>, we specifically observed the increase in members of <italic>Desulfovibrionaceae</italic> family in mice kept on HFD. The increase in <italic>Desulfovibrionaceae</italic> is common in adult and pediatric MS patients (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B38">38</xref>). <italic>Desulfovibrionaceae</italic> includes genera of sulfate-reducing bacteria that produce higher level of hydrogen sulfide (H<sub>2</sub>S) as a byproduct in the gut. Interestingly, we also observed an enrichment of bacterial H<sub>2</sub>S metabolic pathways. Combined together, our data suggest that HFD induced gut microbiota alteration, specifically enrichment of H<sub>2</sub>S producing bacteria (<italic>Desulfovibrionaceae</italic>) and H<sub>2</sub>S pathways might be involved in induction of pro-inflammatory response leading to severe EAE disease. Importance of H<sub>2</sub>S pathways in modulating inflammatory pathways had been showed earlier (<xref ref-type="bibr" rid="B39">39</xref>) such as elevated level of sulfate- reducing bacteria in feces of patients with UC and IBD (<xref ref-type="bibr" rid="B40">40</xref>). A higher concentration of H<sub>2</sub>S were also reported to be genotoxic and pro-inflammatory as it can increase the production of proinflammatory cytokines such as IL-1&#x3b2; and IL-6 from IECs (<xref ref-type="bibr" rid="B39">39</xref>). Thus, HFD enriched pathogenic bacteria can increase H<sub>2</sub>S which then can induce IECs for production of IL-1&#x3b2; plus IL-6 and promote expansion of pro-inflammatory Th17 cells resulting in induction of sever MS/EAE.</p>
<p>Additionally, functional pathways associated with long chain fatty acid synthesis and lipopolysaccharides were more abundant in HFD diet mice (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). The increased long chain fatty acids and lipopolysaccharide pathways have also been previously shown to associate with gut inflammation (<xref ref-type="bibr" rid="B41">41</xref>). Furthermore, increased abundance of bacterial lipopolysaccharide plays an important role in gut inflammation (<xref ref-type="bibr" rid="B42">42</xref>). Higher lipopolysaccharide biosynthesis in HFD mice can cause defective intestinal tight junction and increases intestinal permeability and systemic inflammation (<xref ref-type="bibr" rid="B42">42</xref>). High serum levels of intestinal-fatty acid binding proteins (FABP2) are a potential biomarker of intestinal barrier dysfunction and increased gut permeability (<xref ref-type="bibr" rid="B27">27</xref>). Role of FABP2 in intestinal barrier dysfunction in the case of obesity induced EAE severity is not known. An increased level of FABP2 has been reported in chronically elevated glucose levels in obese individuals (<xref ref-type="bibr" rid="B43">43</xref>). Our findings showed that serum FABP2 level were higher in mice on HFD compared to mice on NC diet mice. Further analysis of gut permeability using FITC-dextran intestinal permeability assay which is a surrogate of leaky gut confirmed that HFD-induced obesity increased intestinal permeability in mice on HFD compared to mice on NC diets. Maintaining gut barrier integrity is critical to physiological homeostasis as trillions of bacteria present in the gut can stimulate a pro-inflammatory immune response if allowed access to gut associated lymphoid tissue (<xref ref-type="bibr" rid="B44">44</xref>). The increase in the gut permeability by HFD has also been described previously (<xref ref-type="bibr" rid="B29">29</xref>). Previous studies in MS patients have also shown an increase in gut permeability (<xref ref-type="bibr" rid="B45">45</xref>). Thus, HFD induced gut dysbiosis and resulting increase in gut permeability can modulate disease severity through translocation of pro-inflammatory bacteria/bacterial products in systemic circulation and induction of pro-inflammation state. We found an increase in pro-inflammatory chemokines and cytokines such as MCP-1&#x3b1;, CCL-11, and decrease in CXCL-5 level in HFD fed mice, compare to NC fed mice. MCP-1 had been shown to induce Th1 immune responses during EAE and promote macrophage recruitment to the inflamed CNS (<xref ref-type="bibr" rid="B46">46</xref>). This phenomenon is essential for primming of T cells to execute a Th1 effector program in EAE (<xref ref-type="bibr" rid="B46">46</xref>). CCL-11 had been evaluated for their potent role in immunomodulation and as a biomarker of human disease (<xref ref-type="bibr" rid="B47">47</xref>). Elevated plasma levels of MCP-1 and CCL-11 have been also reported in neurodegenerative diseases (<xref ref-type="bibr" rid="B48">48</xref>) suggesting that HFD induced obesity can trigger EAE severity though induction of proinflammatory MCP-1 and chemokines such as CCL-11. Our findings on low sera of CXCL-5 in sera of HFD mice is in contrast to prior study showing higher levels of CXCL-5 in mice with EAE and cerebrospinal fluid of MS patients during relapse compared with remission phase of disease (<xref ref-type="bibr" rid="B49">49</xref>). However, the role of CXCL-5 in chronic inflammatory diseases is not clearly understood. As circulating CXCL-5 levels had been inversely correlated with atherosclerosis severity, also suggesting a possible protective role for CXCL-5 (<xref ref-type="bibr" rid="B50">50</xref>). However, it remains to be established whether these levels correlate with the disease progression and EAE severity in HFD induced obese mice.</p>
<p>There are some limitations to our study as we didn&#x2019;t profile gut microbiome, metabolites, or systemic inflammatory mediators post-EAE. The rationale for the same is that induction of EAE itself results in modulation of gut microbiome, metabolome, gut permeability, and/or systemic inflammatory mediators. Therefore, it is difficult to differentiate the effects due to obese EAE vs normal chow EAE. e.g. Prior studies have shown that EAE induction causes gut dysbiosis with decreases in gut commensal bacteria such as <italic>Lactobacillaceae</italic> (<xref ref-type="bibr" rid="B51">51</xref>). Interestingly, in the present study, we have observed a decreasing trend in <italic>Lactobacillaceae</italic> in mice fed with HFD compared to mice fed with NC (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S4</bold></xref>). Similarly EAE induction itself increases gut permeability at both onset (day 7) and peak of EAE (day 14) (<xref ref-type="bibr" rid="B52">52</xref>) and thus measuring gut permeability post-EAE might not help in differentiating gut permeability effect due to obesity from those due to disease itself. Additionally, majority of systemic inflammatory mediators modulated in mice on HFD are also modulated in EAE itself. However, it is possible that there are subtle changes in gut microbiome, metabolome and/or systemic inflammatory mediators post-EAE between mice on HFD vs NC and future studies are warranted to determine the same.</p>
<p>In summary, we show that HFD induced obesity leads to increased EAE severity through modulation of gut bacteria especially enrichment of pathogenic bacteria linked with sulfate reduction and lipopolysaccharide biosynthesis pathways, which then can induce systemic inflammation through induction of gut permeability and pro-inflammatory mediators. Future studies dissecting the role of specific bacterial metabolite such as H<sub>2</sub>S and long chain fatty acids in modulating EAE disease will help in defining the precise mechanism through which HFD induced gut bacteria can influence the pathobiology of MS.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The gut bacterial sequence data presented in the study are deposited in the NCBI repository, accession number PRJNA842401. The data is available here: <uri xlink:href="https://www.ncbi.nlm.nih.gov/bioproject/PRJNA842401">https://www.ncbi.nlm.nih.gov/bioproject/PRJNA842401</uri>.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>Mice were bred and maintained in the University of Iowa animal facility in accordance with NIH and institutional guidelines. All experiments were approved by the Institutional Animal Care and Use Committee at the University of Iowa.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>SS conceptualized the study, designed, and performed the experiments, and wrote the manuscript and gave final approval of the manuscript to be published. AM conceptualized, designed the study, edited the manuscript, and gave final approval of the manuscript to be published. SG performed data analysis and helped in writing manuscript. PL helped with performing experiments. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The Author acknowledge funding from the National Multiple Sclerosis Society grant (RG 5138A1/1T), National Institutes of Health/NIAID (1R01AI137075), the University of Iowa Environmental Health Sciences Research Center, NIEHS/NIH (P30 ES005605), and a gift from P. Heppelmann and M. Wacek to AM.</p>
</sec>
<sec id="s9" sec-type="acknowledgment">
<title>Acknowledgments</title>
<p>We thank the Drs. Karandikar, Jabbari, and Lieberman laboratories for helpful discussion.</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>Author AM is inventor of a technology claiming the use of <italic>Prevotella histicola</italic> for the treatment of autoimmune diseases. The patent for the technology is owned by Mayo Clinic, who has given exclusive license to Evelo Biosciences. AM received royalties from Mayo Clinic (paid by Evelo Biosciences). However, no fund or product from the patent were used in the present study.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2022.966417/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2022.966417/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Presentation_1.pptx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.presentationml.presentation"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nelson</surname> <given-names>LM</given-names>
</name>
<name>
<surname>Wallin</surname> <given-names>MT</given-names>
</name>
<name>
<surname>Marrie</surname> <given-names>RA</given-names>
</name>
<name>
<surname>Culpepper</surname> <given-names>WJ</given-names>
</name>
<name>
<surname>Langer-Gould</surname> <given-names>A</given-names>
</name>
<name>
<surname>Campbell</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>A new way to estimate neurologic disease prevalence in the united states: Illustrated with Ms</article-title>. <source>Neurology</source> (<year>2019</year>) <volume>92</volume>:<page-range>469&#x2013;80</page-range>. doi: <pub-id pub-id-type="doi">10.1212/WNL.0000000000007044</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wallin</surname> <given-names>MT</given-names>
</name>
<name>
<surname>Culpepper</surname> <given-names>WJ</given-names>
</name>
<name>
<surname>Campbell</surname> <given-names>JD</given-names>
</name>
<name>
<surname>Nelson</surname> <given-names>LM</given-names>
</name>
<name>
<surname>Langer-Gould</surname> <given-names>A</given-names>
</name>
<name>
<surname>Marrie</surname> <given-names>RA</given-names>
</name>
<etal/>
</person-group>. <article-title>The prevalence of Ms in the united states: A population-based estimate using health claims data</article-title>. <source>Neurology</source> (<year>2019</year>) <volume>92</volume>:<page-range>E1029&#x2013;40</page-range>. doi: <pub-id pub-id-type="doi">10.1212/WNL.0000000000007035</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Willer</surname> <given-names>CJ</given-names>
</name>
<name>
<surname>Dyment</surname> <given-names>DA</given-names>
</name>
<name>
<surname>Risch</surname> <given-names>NJ</given-names>
</name>
<name>
<surname>Sadovnick</surname> <given-names>AD</given-names>
</name>
<name>
<surname>Ebers</surname> <given-names>GC</given-names>
</name>
<collab>Canadian Collaborative Study, G</collab>
</person-group>. <article-title>Twin concordance and sibling recurrence rates in multiple sclerosis</article-title>. <source>Proc Natl Acad Sci USA</source> (<year>2003</year>) <volume>100</volume>:<page-range>12877&#x2013;82</page-range>. doi: <pub-id pub-id-type="doi">10.1073/pnas.1932604100</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hollenbach</surname> <given-names>JA</given-names>
</name>
<name>
<surname>Oksenberg</surname> <given-names>JR</given-names>
</name>
</person-group>. <article-title>The immunogenetics of multiple sclerosis: A comprehensive review</article-title>. <source>J Autoimmun</source> (<year>2015</year>) <volume>64</volume>:<fpage>13</fpage>&#x2013;<lpage>25</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jaut.2015.06.010</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Goodin</surname> <given-names>DS</given-names>
</name>
</person-group>. <article-title>The causal cascade to multiple sclerosis: A model for Ms pathogenesis</article-title>. <source>PloS One</source> (<year>2009</year>) <volume>4</volume>:<fpage>E4565</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0004565</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jangi</surname> <given-names>S</given-names>
</name>
<name>
<surname>Gandhi</surname> <given-names>R</given-names>
</name>
<name>
<surname>Cox</surname> <given-names>LM</given-names>
</name>
<name>
<surname>Li</surname> <given-names>N</given-names>
</name>
<name>
<surname>Von Glehn</surname> <given-names>F</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>R</given-names>
</name>
<etal/>
</person-group>. <article-title>Alterations of the human gut microbiome in multiple sclerosis</article-title>. <source>Nat Commun</source> (<year>2016</year>) <volume>7</volume>:<fpage>12015</fpage>. doi: <pub-id pub-id-type="doi">10.1038/ncomms12015</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Miyake</surname> <given-names>S</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>S</given-names>
</name>
<name>
<surname>Suda</surname> <given-names>W</given-names>
</name>
<name>
<surname>Oshima</surname> <given-names>K</given-names>
</name>
<name>
<surname>Nakamura</surname> <given-names>M</given-names>
</name>
<name>
<surname>Matsuoka</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Dysbiosis in the gut microbiota of patients with multiple sclerosis, with a striking depletion of species belonging to clostridia xiva and iv clusters</article-title>. <source>PloS One</source> (<year>2015</year>) <volume>10</volume>:<fpage>E0137429</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0137429</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tremlett</surname> <given-names>H</given-names>
</name>
<name>
<surname>Fadrosh</surname> <given-names>DW</given-names>
</name>
<name>
<surname>Faruqi</surname> <given-names>AA</given-names>
</name>
<name>
<surname>Hart</surname> <given-names>J</given-names>
</name>
<name>
<surname>Roalstad</surname> <given-names>S</given-names>
</name>
<name>
<surname>Graves</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Gut microbiota composition and relapse risk in pediatric Ms: A pilot study</article-title>. <source>J Neurol Sci</source> (<year>2016</year>) <volume>363</volume>:<page-range>153&#x2013;7</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.jns.2016.02.042</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ochoa-Reparaz</surname> <given-names>J</given-names>
</name>
<name>
<surname>Kasper</surname> <given-names>LH</given-names>
</name>
</person-group>. <article-title>Gut microbiome and the risk factors in central nervous system autoimmunity</article-title>. <source>FEBS Lett</source> (<year>2014</year>) <volume>588</volume>:<page-range>4214&#x2013;22</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.febslet.2014.09.024</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname> <given-names>J</given-names>
</name>
<name>
<surname>Chia</surname> <given-names>N</given-names>
</name>
<name>
<surname>Kalari</surname> <given-names>KR</given-names>
</name>
<name>
<surname>Yao</surname> <given-names>JZ</given-names>
</name>
<name>
<surname>Novotna</surname> <given-names>M</given-names>
</name>
<name>
<surname>Soldan</surname> <given-names>MM</given-names>
</name>
<etal/>
</person-group>. <article-title>Multiple sclerosis patients have a distinct gut microbiota compared to healthy controls</article-title>. <source>Sci Rep</source> (<year>2016</year>) <volume>6</volume>:<fpage>28484</fpage>. doi: <pub-id pub-id-type="doi">10.1038/srep28484</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jensen</surname> <given-names>SN</given-names>
</name>
<name>
<surname>Cady</surname> <given-names>NM</given-names>
</name>
<name>
<surname>Shahi</surname> <given-names>SK</given-names>
</name>
<name>
<surname>Peterson</surname> <given-names>SR</given-names>
</name>
<name>
<surname>Gupta</surname> <given-names>A</given-names>
</name>
<name>
<surname>Gibson-Corley</surname> <given-names>KN</given-names>
</name>
<etal/>
</person-group>. <article-title>Isoflavone diet ameliorates experimental autoimmune encephalomyelitis through modulation of gut bacteria depleted in patients with multiple sclerosis</article-title>. <source>Sci Adv</source> (<year>2021</year>) <volume>7</volume>:<page-range>1&#x2013;13</page-range>. doi: <pub-id pub-id-type="doi">10.1126/sciadv.abd4595</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Maslowski</surname> <given-names>KM</given-names>
</name>
<name>
<surname>Mackay</surname> <given-names>CR</given-names>
</name>
</person-group>. <article-title>Diet, gut microbiota and immune responses</article-title>. <source>Nat Immunol</source> (<year>2011</year>) <volume>12</volume>:<fpage>5</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1038/ni0111-5</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pakpoor</surname> <given-names>J</given-names>
</name>
<name>
<surname>Schmierer</surname> <given-names>K</given-names>
</name>
<name>
<surname>Cuzick</surname> <given-names>J</given-names>
</name>
<name>
<surname>Giovannoni</surname> <given-names>G</given-names>
</name>
<name>
<surname>Dobson</surname> <given-names>R</given-names>
</name>
</person-group>. <article-title>Estimated and projected burden of multiple sclerosis attributable to smoking and childhood and adolescent high body-mass index: A comparative risk assessment</article-title>. <source>Int J Epidemiol</source> (<year>2021</year>) <volume>49</volume>:<page-range>2051&#x2013;7</page-range>. doi: <pub-id pub-id-type="doi">10.1093/ije/dyaa151</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ley</surname> <given-names>RE</given-names>
</name>
<name>
<surname>Backhed</surname> <given-names>F</given-names>
</name>
<name>
<surname>Turnbaugh</surname> <given-names>P</given-names>
</name>
<name>
<surname>Lozupone</surname> <given-names>CA</given-names>
</name>
<name>
<surname>Knight</surname> <given-names>RD</given-names>
</name>
<name>
<surname>Gordon</surname> <given-names>JI</given-names>
</name>
</person-group>. <article-title>Obesity alters gut microbial ecology</article-title>. <source>Proc Natl Acad Sci USA</source> (<year>2005</year>) <volume>102</volume>:<page-range>11070&#x2013;5</page-range>. doi: <pub-id pub-id-type="doi">10.1073/pnas.0504978102</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Palmas</surname> <given-names>V</given-names>
</name>
<name>
<surname>Pisanu</surname> <given-names>S</given-names>
</name>
<name>
<surname>Madau</surname> <given-names>V</given-names>
</name>
<name>
<surname>Casula</surname> <given-names>E</given-names>
</name>
<name>
<surname>Deledda</surname> <given-names>A</given-names>
</name>
<name>
<surname>Cusano</surname> <given-names>R</given-names>
</name>
<etal/>
</person-group>. <article-title>Gut microbiota markers associated with obesity and overweight in Italian adults</article-title>. <source>Sci Rep</source> (<year>2021</year>) <volume>11</volume>:<fpage>5532</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-021-84928-w</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ridaura</surname> <given-names>VK</given-names>
</name>
<name>
<surname>Faith</surname> <given-names>JJ</given-names>
</name>
<name>
<surname>Rey</surname> <given-names>FE</given-names>
</name>
<name>
<surname>Cheng</surname> <given-names>J</given-names>
</name>
<name>
<surname>Duncan</surname> <given-names>AE</given-names>
</name>
<name>
<surname>Kau</surname> <given-names>AL</given-names>
</name>
<etal/>
</person-group>. <article-title>Gut microbiota from twins discordant for obesity modulate metabolism in mice</article-title>. <source>Science</source> (<year>2013</year>) <volume>341</volume>:<fpage>1241214</fpage>. doi: <pub-id pub-id-type="doi">10.1126/science.1241214</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cekanaviciute</surname> <given-names>E</given-names>
</name>
<name>
<surname>Yoo</surname> <given-names>BB</given-names>
</name>
<name>
<surname>Runia</surname> <given-names>TF</given-names>
</name>
<name>
<surname>Debelius</surname> <given-names>JW</given-names>
</name>
<name>
<surname>Singh</surname> <given-names>S</given-names>
</name>
<name>
<surname>Nelson</surname> <given-names>CA</given-names>
</name>
<etal/>
</person-group>. <article-title>Gut bacteria from multiple sclerosis patients modulate human T cells and exacerbate symptoms in mouse models</article-title>. <source>Proc Natl Acad Sci USA</source> (<year>2017</year>) <volume>114</volume>:<page-range>10713&#x2013;8</page-range>. doi: <pub-id pub-id-type="doi">10.1073/pnas.1711235114</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shahi</surname> <given-names>SK</given-names>
</name>
<name>
<surname>Ali</surname> <given-names>S</given-names>
</name>
<name>
<surname>Jaime</surname> <given-names>CM</given-names>
</name>
<name>
<surname>Guseva</surname> <given-names>NV</given-names>
</name>
<name>
<surname>Mangalam</surname> <given-names>AK</given-names>
</name>
</person-group>. <article-title>Hla class ii polymorphisms modulate gut microbiota and experimental autoimmune encephalomyelitis phenotype</article-title>. <source>Immunohorizons</source> (<year>2021</year>) <volume>5</volume>:<page-range>627&#x2013;46</page-range>. doi: <pub-id pub-id-type="doi">10.4049/immunohorizons.2100024</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Abt</surname> <given-names>MC</given-names>
</name>
<name>
<surname>Osborne</surname> <given-names>LC</given-names>
</name>
<name>
<surname>Monticelli</surname> <given-names>LA</given-names>
</name>
<name>
<surname>Doering</surname> <given-names>TA</given-names>
</name>
<name>
<surname>Alenghat</surname> <given-names>T</given-names>
</name>
<name>
<surname>Sonnenberg</surname> <given-names>GF</given-names>
</name>
<etal/>
</person-group>. <article-title>Commensal bacteria calibrate the activation threshold of innate antiviral immunity</article-title>. <source>Immunity</source> (<year>2012</year>) <volume>37</volume>:<page-range>158&#x2013;70</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.immuni.2012.04.011</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shahi</surname> <given-names>SK</given-names>
</name>
<name>
<surname>Zarei</surname> <given-names>K</given-names>
</name>
<name>
<surname>Guseva</surname> <given-names>NV</given-names>
</name>
<name>
<surname>Mangalam</surname> <given-names>AK</given-names>
</name>
</person-group>. <article-title>Microbiota analysis using two-step pcr and next-generation 16s rrna gene sequencing</article-title>. <source>J Vis Exp</source> (<year>2019</year>) <volume>e59980</volume>(<issue>152</issue>):<page-range>1&#x2013;12</page-range>. doi: <pub-id pub-id-type="doi">10.3791/59980</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Callahan</surname> <given-names>BJ</given-names>
</name>
<name>
<surname>Mcmurdie</surname> <given-names>PJ</given-names>
</name>
<name>
<surname>Rosen</surname> <given-names>MJ</given-names>
</name>
<name>
<surname>Han</surname> <given-names>AW</given-names>
</name>
<name>
<surname>Johnson</surname> <given-names>AJ</given-names>
</name>
<name>
<surname>Holmes</surname> <given-names>SP</given-names>
</name>
</person-group>. <article-title>Dada2: High-resolution sample inference from illumina amplicon data</article-title>. <source>Nat Methods</source> (<year>2016</year>) <volume>13</volume>:<page-range>581&#x2013;3</page-range>. doi: <pub-id pub-id-type="doi">10.1038/nmeth.3869</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mcmurdie</surname> <given-names>PJ</given-names>
</name>
<name>
<surname>Holmes</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Phyloseq: An r package for reproducible interactive analysis and graphics of microbiome census data</article-title>. <source>PloS One</source> (<year>2013</year>) <volume>8</volume>:<fpage>E61217</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0061217</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Douglas</surname> <given-names>GM</given-names>
</name>
<name>
<surname>Maffei</surname> <given-names>VJ</given-names>
</name>
<name>
<surname>Zaneveld</surname> <given-names>JR</given-names>
</name>
<name>
<surname>Yurgel</surname> <given-names>SN</given-names>
</name>
<name>
<surname>Brown</surname> <given-names>JR</given-names>
</name>
<name>
<surname>Taylor</surname> <given-names>CM</given-names>
</name>
<etal/>
</person-group>. <article-title>Picrust2 for prediction of metagenome functions</article-title>. <source>Nat Biotechnol</source> (<year>2020</year>) <volume>38</volume>:<page-range>685&#x2013;8</page-range>. doi: <pub-id pub-id-type="doi">10.1038/s41587-020-0548-6</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Segata</surname> <given-names>N</given-names>
</name>
<name>
<surname>Izard</surname> <given-names>J</given-names>
</name>
<name>
<surname>Waldron</surname> <given-names>L</given-names>
</name>
<name>
<surname>Gevers</surname> <given-names>D</given-names>
</name>
<name>
<surname>Miropolsky</surname> <given-names>L</given-names>
</name>
<name>
<surname>Garrett</surname> <given-names>WS</given-names>
</name>
<etal/>
</person-group>. <article-title>Metagenomic biomarker discovery and explanation</article-title>. <source>Genome Biol</source> (<year>2011</year>) <volume>12</volume>:<fpage>R60</fpage>. doi: <pub-id pub-id-type="doi">10.1186/gb-2011-12-6-r60</pub-id>
</citation>
</ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Woting</surname> <given-names>A</given-names>
</name>
<name>
<surname>Blaut</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Small intestinal permeability and gut-transit time determined with low and high molecular weight fluorescein isothiocyanate-dextrans in C3h mice</article-title>. <source>Nutrients</source> (<year>2018</year>) <volume>10</volume>:<page-range>1&#x2013;7</page-range>. doi: <pub-id pub-id-type="doi">10.3390/nu10060685</pub-id>
</citation>
</ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mangalam</surname> <given-names>A</given-names>
</name>
<name>
<surname>Luckey</surname> <given-names>D</given-names>
</name>
<name>
<surname>Basal</surname> <given-names>E</given-names>
</name>
<name>
<surname>Jackson</surname> <given-names>M</given-names>
</name>
<name>
<surname>Smart</surname> <given-names>M</given-names>
</name>
<name>
<surname>Rodriguez</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Hla-Dq8 (Dqb1*0302)-restricted Th17 cells exacerbate experimental autoimmune encephalomyelitis in hla-Dr3-Transgenic mice</article-title>. <source>J Immunol</source> (<year>2009</year>) <volume>182</volume>:<page-range>5131&#x2013;9</page-range>. doi: <pub-id pub-id-type="doi">10.4049/jimmunol.0803918</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>F</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Fang</surname> <given-names>Y</given-names>
</name>
</person-group>. <article-title>Intestinal fatty acid-binding protein mediates atherosclerotic progress through increasing intestinal inflammation and permeability</article-title>. <source>J Cell Mol Med</source> (<year>2020</year>) <volume>24</volume>:<page-range>5205&#x2013;12</page-range>. doi: <pub-id pub-id-type="doi">10.1111/jcmm.15173</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wurtz</surname> <given-names>P</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Kangas</surname> <given-names>AJ</given-names>
</name>
<name>
<surname>Richmond</surname> <given-names>RC</given-names>
</name>
<name>
<surname>Skarp</surname> <given-names>J</given-names>
</name>
<name>
<surname>Tiainen</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Metabolic signatures of adiposity in young adults: Mendelian randomization analysis and effects of weight change</article-title>. <source>PloS Med</source> (<year>2014</year>) <volume>11</volume>:<fpage>E1001765</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pmed.1001765</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sanchez-Alcoholado</surname> <given-names>L</given-names>
</name>
<name>
<surname>Ordonez</surname> <given-names>R</given-names>
</name>
<name>
<surname>Otero</surname> <given-names>A</given-names>
</name>
<name>
<surname>Plaza-Andrade</surname> <given-names>I</given-names>
</name>
<name>
<surname>Laborda-Illanes</surname> <given-names>A</given-names>
</name>
<name>
<surname>Medina</surname> <given-names>JA</given-names>
</name>
<etal/>
</person-group>. <article-title>Gut microbiota-mediated inflammation and gut permeability in patients with obesity and colorectal cancer</article-title>. <source>Int J Mol Sci</source> (<year>2020</year>) <volume>21</volume>:<page-range>1&#x2013;20</page-range>. doi: <pub-id pub-id-type="doi">10.3390/ijms21186782</pub-id>
</citation>
</ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname> <given-names>H</given-names>
</name>
<name>
<surname>Ballantyne</surname> <given-names>CM</given-names>
</name>
</person-group>. <article-title>Metabolic inflammation and insulin resistance in obesity</article-title>. <source>Circ Res</source> (<year>2020</year>) <volume>126</volume>:<page-range>1549&#x2013;64</page-range>. doi: <pub-id pub-id-type="doi">10.1161/CIRCRESAHA.119.315896</pub-id>
</citation>
</ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Stampanoni Bassi</surname> <given-names>M</given-names>
</name>
<name>
<surname>Iezzi</surname> <given-names>E</given-names>
</name>
<name>
<surname>Buttari</surname> <given-names>F</given-names>
</name>
<name>
<surname>Gilio</surname> <given-names>L</given-names>
</name>
<name>
<surname>Simonelli</surname> <given-names>I</given-names>
</name>
<name>
<surname>Carbone</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Obesity worsens central inflammation and disability in multiple sclerosis</article-title>. <source>Mult Scler</source> (<year>2020</year>) <volume>26</volume>:<page-range>1237&#x2013;46</page-range>. doi: <pub-id pub-id-type="doi">10.1177/1352458519853473</pub-id>
</citation>
</ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ji</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>S</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Qi</surname> <given-names>J</given-names>
</name>
<name>
<surname>Su</surname> <given-names>X</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>L</given-names>
</name>
</person-group>. <article-title>Obesity promotes eae through il-6 and ccl-2-Mediated T cells infiltration</article-title>. <source>Front Immunol</source> (<year>2019</year>) <volume>10</volume>:<elocation-id>1881</elocation-id>. doi: <pub-id pub-id-type="doi">10.3389/fimmu.2019.01881</pub-id>
</citation>
</ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Turnbaugh</surname> <given-names>PJ</given-names>
</name>
<name>
<surname>Backhed</surname> <given-names>F</given-names>
</name>
<name>
<surname>Fulton</surname> <given-names>L</given-names>
</name>
<name>
<surname>Gordon</surname> <given-names>JI</given-names>
</name>
</person-group>. <article-title>Diet-induced obesity is linked to marked but reversible alterations in the mouse distal gut microbiome</article-title>. <source>Cell Host Microbe</source> (<year>2008</year>) <volume>3</volume>:<page-range>213&#x2013;23</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.chom.2008.02.015</pub-id>
</citation>
</ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lozupone</surname> <given-names>CA</given-names>
</name>
<name>
<surname>Stombaugh</surname> <given-names>JI</given-names>
</name>
<name>
<surname>Gordon</surname> <given-names>JI</given-names>
</name>
<name>
<surname>Jansson</surname> <given-names>JK</given-names>
</name>
<name>
<surname>Knight</surname> <given-names>R</given-names>
</name>
</person-group>. <article-title>Diversity, stability and resilience of the human gut microbiota</article-title>. <source>Nature</source> (<year>2012</year>) <volume>489</volume>:<page-range>220&#x2013;30</page-range>. doi: <pub-id pub-id-type="doi">10.1038/nature11550</pub-id>
</citation>
</ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ma</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Xiang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Xiang</surname> <given-names>S</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Xiao</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Metagenome analysis of intestinal bacteria in healthy people, patients with inflammatory bowel disease and colorectal cancer</article-title>. <source>Front Cell Infect Microbiol</source> (<year>2021</year>) <volume>11</volume>:<elocation-id>599734</elocation-id>. doi: <pub-id pub-id-type="doi">10.3389/fcimb.2021.599734</pub-id>
</citation>
</ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Walujkar</surname> <given-names>SA</given-names>
</name>
<name>
<surname>Dhotre</surname> <given-names>DP</given-names>
</name>
<name>
<surname>Marathe</surname> <given-names>NP</given-names>
</name>
<name>
<surname>Lawate</surname> <given-names>PS</given-names>
</name>
<name>
<surname>Bharadwaj</surname> <given-names>RS</given-names>
</name>
<name>
<surname>Shouche</surname> <given-names>YS</given-names>
</name>
</person-group>. <article-title>Characterization of bacterial community shift in human ulcerative colitis patients revealed by illumina based 16s rrna gene amplicon sequencing</article-title>. <source>Gut Pathog</source> (<year>2014</year>) <volume>6</volume>:<fpage>22</fpage>. doi: <pub-id pub-id-type="doi">10.1186/1757-4749-6-22</pub-id>
</citation>
</ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Garrett</surname> <given-names>WS</given-names>
</name>
<name>
<surname>Gallini</surname> <given-names>CA</given-names>
</name>
<name>
<surname>Yatsunenko</surname> <given-names>T</given-names>
</name>
<name>
<surname>Michaud</surname> <given-names>M</given-names>
</name>
<name>
<surname>Dubois</surname> <given-names>A</given-names>
</name>
<name>
<surname>Delaney</surname> <given-names>ML</given-names>
</name>
<etal/>
</person-group>. <article-title>Enterobacteriaceae act in concert with the gut microbiota to induce spontaneous and maternally transmitted colitis</article-title>. <source>Cell Host Microbe</source> (<year>2010</year>) <volume>8</volume>:<fpage>292</fpage>&#x2013;<lpage>300</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.chom.2010.08.004</pub-id>
</citation>
</ref>
<ref id="B38">
<label>38</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Camara-Lemarroy</surname> <given-names>CR</given-names>
</name>
<name>
<surname>Metz</surname> <given-names>LM</given-names>
</name>
<name>
<surname>Yong</surname> <given-names>VW</given-names>
</name>
</person-group>. <article-title>Focus on the gut-brain axis: Multiple sclerosis, the intestinal barrier and the microbiome</article-title>. <source>World J Gastroenterol</source> (<year>2018</year>) <volume>24</volume>:<page-range>4217&#x2013;23</page-range>. doi: <pub-id pub-id-type="doi">10.3748/wjg.v24.i37.4217</pub-id>
</citation>
</ref>
<ref id="B39">
<label>39</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mottawea</surname> <given-names>W</given-names>
</name>
<name>
<surname>Chiang</surname> <given-names>CK</given-names>
</name>
<name>
<surname>Muhlbauer</surname> <given-names>M</given-names>
</name>
<name>
<surname>Starr</surname> <given-names>AE</given-names>
</name>
<name>
<surname>Butcher</surname> <given-names>J</given-names>
</name>
<name>
<surname>Abujamel</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Altered intestinal microbiota-host mitochondria crosstalk in new onset crohn's disease</article-title>. <source>Nat Commun</source> (<year>2016</year>) <volume>7</volume>:<fpage>13419</fpage>. doi: <pub-id pub-id-type="doi">10.1038/ncomms13419</pub-id>
</citation>
</ref>
<ref id="B40">
<label>40</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rowan</surname> <given-names>FE</given-names>
</name>
<name>
<surname>Docherty</surname> <given-names>NG</given-names>
</name>
<name>
<surname>Coffey</surname> <given-names>JC</given-names>
</name>
<name>
<surname>O'connell</surname> <given-names>PR</given-names>
</name>
</person-group>. <article-title>Sulphate-reducing bacteria and hydrogen sulphide in the aetiology of ulcerative colitis</article-title>. <source>Br J Surg</source> (<year>2009</year>) <volume>96</volume>:<page-range>151&#x2013;8</page-range>. doi: <pub-id pub-id-type="doi">10.1002/bjs.6454</pub-id>
</citation>
</ref>
<ref id="B41">
<label>41</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Neal</surname> <given-names>MD</given-names>
</name>
<name>
<surname>Leaphart</surname> <given-names>C</given-names>
</name>
<name>
<surname>Levy</surname> <given-names>R</given-names>
</name>
<name>
<surname>Prince</surname> <given-names>J</given-names>
</name>
<name>
<surname>Billiar</surname> <given-names>TR</given-names>
</name>
<name>
<surname>Watkins</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Enterocyte Tlr4 mediates phagocytosis and translocation of bacteria across the intestinal barrier</article-title>. <source>J Immunol</source> (<year>2006</year>) <volume>176</volume>:<page-range>3070&#x2013;9</page-range>. doi: <pub-id pub-id-type="doi">10.4049/jimmunol.176.5.3070</pub-id>
</citation>
</ref>
<ref id="B42">
<label>42</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Guo</surname> <given-names>S</given-names>
</name>
<name>
<surname>Al-Sadi</surname> <given-names>R</given-names>
</name>
<name>
<surname>Said</surname> <given-names>HM</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>TY</given-names>
</name>
</person-group>. <article-title>Lipopolysaccharide causes an increase in intestinal tight junction permeability <italic>In vitro</italic> and <italic>In vivo</italic> by inducing enterocyte membrane expression and localization of tlr-4 and Cd14</article-title>. <source>Am J Pathol</source> (<year>2013</year>) <volume>182</volume>:<page-range>375&#x2013;87</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.ajpath.2012.10.014</pub-id>
</citation>
</ref>
<ref id="B43">
<label>43</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Verdam</surname> <given-names>FJ</given-names>
</name>
<name>
<surname>Greve</surname> <given-names>JW</given-names>
</name>
<name>
<surname>Roosta</surname> <given-names>S</given-names>
</name>
<name>
<surname>Van Eijk</surname> <given-names>H</given-names>
</name>
<name>
<surname>Bouvy</surname> <given-names>N</given-names>
</name>
<name>
<surname>Buurman</surname> <given-names>WA</given-names>
</name>
<etal/>
</person-group>. <article-title>Small intestinal alterations in severely obese hyperglycemic subjects</article-title>. <source>J Clin Endocrinol Metab</source> (<year>2011</year>) <volume>96</volume>:<page-range>E379&#x2013;83</page-range>. doi: <pub-id pub-id-type="doi">10.1210/jc.2010-1333</pub-id>
</citation>
</ref>
<ref id="B44">
<label>44</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lee</surname> <given-names>N</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>WU</given-names>
</name>
</person-group>. <article-title>Microbiota in T-cell homeostasis and inflammatory diseases</article-title>. <source>Exp Mol Med</source> (<year>2017</year>) <volume>49</volume>:<fpage>E340</fpage>. doi: <pub-id pub-id-type="doi">10.1038/emm.2017.36</pub-id>
</citation>
</ref>
<ref id="B45">
<label>45</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Buscarinu</surname> <given-names>MC</given-names>
</name>
<name>
<surname>Cerasoli</surname> <given-names>B</given-names>
</name>
<name>
<surname>Annibali</surname> <given-names>V</given-names>
</name>
<name>
<surname>Policano</surname> <given-names>C</given-names>
</name>
<name>
<surname>Lionetto</surname> <given-names>L</given-names>
</name>
<name>
<surname>Capi</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Altered intestinal permeability in patients with relapsing-remitting multiple sclerosis: A pilot study</article-title>. <source>Mult Scler</source> (<year>2017</year>) <volume>23</volume>:<page-range>442&#x2013;6</page-range>. doi: <pub-id pub-id-type="doi">10.1177/1352458516652498</pub-id>
</citation>
</ref>
<ref id="B46">
<label>46</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Huang</surname> <given-names>DR</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Kivisakk</surname> <given-names>P</given-names>
</name>
<name>
<surname>Rollins</surname> <given-names>BJ</given-names>
</name>
<name>
<surname>Ransohoff</surname> <given-names>RM</given-names>
</name>
</person-group>. <article-title>Absence of monocyte chemoattractant protein 1 in mice leads to decreased local macrophage recruitment and antigen-specific T helper cell type 1 immune response in experimental autoimmune encephalomyelitis</article-title>. <source>J Exp Med</source> (<year>2001</year>) <volume>193</volume>:<page-range>713&#x2013;26</page-range>. doi: <pub-id pub-id-type="doi">10.1084/jem.193.6.713</pub-id>
</citation>
</ref>
<ref id="B47">
<label>47</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Teixeira</surname> <given-names>AL</given-names>
</name>
<name>
<surname>Gama</surname> <given-names>CS</given-names>
</name>
<name>
<surname>Rocha</surname> <given-names>NP</given-names>
</name>
<name>
<surname>Teixeira</surname> <given-names>MM</given-names>
</name>
</person-group>. <article-title>Revisiting the role of eotaxin-1/Ccl11 in psychiatric disorders</article-title>. <source>Front Psychiatry</source> (<year>2018</year>) <volume>9</volume>:<elocation-id>241</elocation-id>. doi: <pub-id pub-id-type="doi">10.3389/fpsyt.2018.00241</pub-id>
</citation>
</ref>
<ref id="B48">
<label>48</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bettcher</surname> <given-names>BM</given-names>
</name>
<name>
<surname>Fitch</surname> <given-names>R</given-names>
</name>
<name>
<surname>Wynn</surname> <given-names>MJ</given-names>
</name>
<name>
<surname>Lalli</surname> <given-names>MA</given-names>
</name>
<name>
<surname>Elofson</surname> <given-names>J</given-names>
</name>
<name>
<surname>Jastrzab</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>Mcp-1 and eotaxin-1 selectively and negatively associate with memory in mci and alzheimer's disease dementia phenotypes</article-title>. <source>Alzheimers Dement (Amst)</source> (<year>2016</year>) <volume>3</volume>:<page-range>91&#x2013;7</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.dadm.2016.05.004</pub-id>
</citation>
</ref>
<ref id="B49">
<label>49</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Simmons</surname> <given-names>SB</given-names>
</name>
<name>
<surname>Liggitt</surname> <given-names>D</given-names>
</name>
<name>
<surname>Goverman</surname> <given-names>JM</given-names>
</name>
</person-group>. <article-title>Cytokine-regulated neutrophil recruitment is required for brain but not spinal cord inflammation during experimental autoimmune encephalomyelitis</article-title>. <source>J Immunol</source> (<year>2014</year>) <volume>193</volume>:<page-range>555&#x2013;63</page-range>. doi: <pub-id pub-id-type="doi">10.4049/jimmunol.1400807</pub-id>
</citation>
</ref>
<ref id="B50">
<label>50</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ravi</surname> <given-names>S</given-names>
</name>
<name>
<surname>Schuck</surname> <given-names>RN</given-names>
</name>
<name>
<surname>Hilliard</surname> <given-names>E</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>CR</given-names>
</name>
<name>
<surname>Dai</surname> <given-names>X</given-names>
</name>
<name>
<surname>Lenhart</surname> <given-names>K</given-names>
</name>
<etal/>
</person-group>. <article-title>Clinical evidence supports a protective role for Cxcl5 in coronary artery disease</article-title>. <source>Am J Pathol</source> (<year>2017</year>) <volume>187</volume>:<page-range>2895&#x2013;911</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.ajpath.2017.08.006</pub-id>
</citation>
</ref>
<ref id="B51">
<label>51</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Johanson</surname> <given-names>DM</given-names>
</name>
<name>
<surname>Goertz</surname> <given-names>JE</given-names>
</name>
<name>
<surname>Marin</surname> <given-names>IA</given-names>
</name>
<name>
<surname>Costello</surname> <given-names>J</given-names>
</name>
<name>
<surname>Overall</surname> <given-names>CC</given-names>
</name>
<name>
<surname>Gaultier</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Experimental autoimmune encephalomyelitis is associated with changes of the microbiota composition in the gastrointestinal tract</article-title>. <source>Sci Rep</source> (<year>2020</year>) <volume>10</volume>:<fpage>15183</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-020-72197-y</pub-id>
</citation>
</ref>
<ref id="B52">
<label>52</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nouri</surname> <given-names>M</given-names>
</name>
<name>
<surname>Bredberg</surname> <given-names>A</given-names>
</name>
<name>
<surname>Westrom</surname> <given-names>B</given-names>
</name>
<name>
<surname>Lavasani</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Intestinal barrier dysfunction develops At the onset of experimental autoimmune encephalomyelitis, and can be induced by adoptive transfer of auto-reactive T cells</article-title>. <source>PloS One</source> (<year>2014</year>) <volume>9</volume>:<fpage>E106335</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0106335</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>