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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2024.1486793</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>A systematic review on gut microbiota in type 2 diabetes mellitus</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Chong</surname>
<given-names>Serena</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="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/2822483"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lin</surname>
<given-names>Mike</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref> <xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chong</surname>
<given-names>Deborah</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jensen</surname>
<given-names>Slade</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref> <xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lau</surname>
<given-names>Namson S.</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="aff8">
<sup>8</sup>
</xref> <xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>South West Sydney Limb Preservation and Wound Research, Ingham Institute for Applied Medical Research</institution>, <addr-line>Sydney, NSW</addr-line>, <country>Australia</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>South West Clinical School, Faculty of Medicine, University of New South Wales</institution>, <addr-line>Sydney, NSW</addr-line>, <country>Australia</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Endocrinology, Royal Prince Alfred Hospital</institution>, <addr-line>Sydney, NSW</addr-line>, <country>Australia</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Garvan Institute of Research</institution>, <addr-line>Sydney, NSW</addr-line>, <country>Australia</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Animal Health Laboratory, Department of Natural Resources and Environment Tasmania</institution>, <addr-line>Tasmania, TAS</addr-line>, <country>Australia</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Infectious Disease and Microbiology, Ingham Institute for Applied Medical Research</institution>, <addr-line>Sydney, NSW</addr-line>, <country>Australia</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>School of Medicine Antibiotic Resistance and Mobile Elements Groups, Ingham Institute for Applied Medical Research</institution>, <addr-line>Sydney, NSW</addr-line>, <country>Australia</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Liverpool Diabetes Collaboration, Ingham Institute of Applied Medical Research</institution>, <addr-line>Sydney, NSW</addr-line>, <country>Australia</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Nigel Irwin, Ulster University, United Kingdom</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Jerzy Beltowski, Medical University of Lublin, Poland</p>
<p>Wendong Huang, City of Hope, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Serena Chong, <email xlink:href="mailto:serena.chong1@health.nsw.gov.au">serena.chong1@health.nsw.gov.au</email>
</p>
</fn>
<fn fn-type="other" id="fn003">
<p>&#x2020;ORCID: Serena Chong, <uri xlink:href="https://orcid.org/0000-0003-1829-5540">orcid.org/0000-0003-1829-5540</uri>; Mike Lin, <uri xlink:href="https://orcid.org/0000-0002-0388-4193">orcid.org/0000-0002-0388-4193</uri>; Slade Jensen, <uri xlink:href="https://orcid.org/0000-0003-4489-589X">orcid.org/0000-0003-4489-589X</uri>; Namson S. Lau, <uri xlink:href="https://orcid.org/0000-0002-9400-8470">orcid.org/0000-0002-9400-8470</uri>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>01</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1486793</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>08</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>12</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Chong, Lin, Chong, Jensen and Lau</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Chong, Lin, Chong, Jensen and Lau</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>Aims/hypothesis</title>
<p>The gut microbiota play crucial roles in the digestion and degradation of nutrients, synthesis of biological agents, development of the immune system, and maintenance of gastrointestinal integrity. Gut dysbiosis is thought to be associated with type 2 diabetes mellitus (T2DM), one of the world&#x2019;s fastest growing diseases. The aim of this systematic review is to identify differences in the composition and diversity of the gut microbiota in individuals with T2DM.</p>
</sec>
<sec>
<title>Methods</title>
<p>A systematic search was conducted to identify studies reporting on the difference in gut microbiota composition between individuals with T2DM and healthy controls. Relevant studies were evaluated, and their characteristics and results were extracted using a standardized data extraction form. The studies were assessed for risk of bias and their findings were reported narratively.</p>
</sec>
<sec>
<title>Results</title>
<p>58 observational studies published between 2010 and 2024 were included. Beta diversity was commonly reported to be different between individuals with T2DM and healthy individuals. Genera Lactobacillus, Escherichia-Shigella, Enterococcus, Subdoligranulum and Fusobacteria were found to be positively associated; while Akkermansia, Bifidobacterium, Bacteroides, Roseburia, Faecalibacteirum and Prevotella were found to be negatively associated with T2DM.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>This systematic review demonstrates a strong association between T2DM and gut dysbiosis, as evidenced by differential microbial abundances and altered diversity indices. Among these taxa, <italic>Escherichia-Shigella</italic> is consistently associated with T2DM, whereas <italic>Faecalibacterium prausnitzii</italic> appears to offer a protective effect against T2DM. However, the heterogeneity and observational nature of these studies preclude the establishment of causative relationships. Future research should incorporate age, diet and medication-matched controls, and include functional analysis of these gut microbes.</p>
</sec>
<sec>
<title>Systematic review registration</title>
<p>
<uri xlink:href="https://www.crd.york.ac.uk/prospero/">https://www.crd.york.ac.uk/prospero/</uri>, identifier CRD42023459937.</p>
</sec>
</abstract>
<kwd-group>
<kwd>gut microbiota</kwd>
<kwd>diabetes</kwd>
<kwd>gut dysbiosis</kwd>
<kwd>diabetes mellitus</kwd>
<kwd>systematic review</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="8"/>
<equation-count count="0"/>
<ref-count count="171"/>
<page-count count="17"/>
<word-count count="6918"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Gut Endocrinology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>The human body hosts a vast population of microorganisms, including archaebacteria, viruses, fungi and eubacteria (also referred to as bacteria), collectively referred to as microbiota. The period of initial gut colonization in humans remains a contentious topic, with some studies suggesting such colonization occurs <italic>in utero</italic>, while others refute this suggestion. Regardless, it is widely accepted that in humans, the infant gut microbiota is rapidly populated near the time of birth, typically achieving stability between the ages of 2 and 5 (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>Due to factors such as peristalsis, pH, oxygen and biological products, the microbiota varies throughout different parts of the gastrointestinal tract. The small intestine contains fewer microorganisms due to a faster transit time, acidic environment, and the presence of bile and pancreatic secretions. In contrast, the large intestine hosts billions of microorganisms, mainly dominated by anaerobic bacteria, including Firmicutes, Bacteroides, Actinobacteria, Proteobacteria and Verrucomicrobia (<xref ref-type="bibr" rid="B2">2</xref>). This is the primary site where the microbiota interact with the human host (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>Gut microbiota are involved in core human bodily functions including digestion and nutrient degradation, synthesis of biological agents, immune system development and maintenance of gut integrity (<xref ref-type="bibr" rid="B4">4</xref>). Significant factors that influence the microbiotia gut composition include age, gender, geographical location and diet. Additionally, prebiotics and probiotics have been used to change the composition of gut microbiota and induce beneficial effects. It has also been suggested that early microbial transfer during the formation and development of the gut microbiota may play a role in the inheritability of human conditions such as neurological diseases and obesity (<xref ref-type="bibr" rid="B5">5</xref>).</p>    <p>The gut bacterial microbiome has been associated with the pathophysiology of multiple chronic diseases, one of which is Type 2 diabetes mellitus (T2DM) (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>). Type 2 diabetes mellitus (T2DM) is characterized by chronic hyperglycemia due to decreased insulin secretion by pancreatic beta cells and increased insulin resistance. Rapid urbanization, nutrition transition and sedentary lifestyles have led to a drastic rise in cases (<xref ref-type="bibr" rid="B9">9</xref>). In 2018 there were over 500 million cases of T2DM globally (172). In Australia, the number of patients with T2DM increased to 1 million accounting for 2.3% ($2.7 billion AUD) of total disease expenditure in 2015-2016.</p>
<p>Increasing evidence shows that alterations in gut bacterial microbiota plays a crucial role in the development of T2DM. Gut bacterial dysbiosis in individuals with T2DM is thought to cause systemic inflammation and altered metabolism, leading to increased peripheral insulin resistance (<xref ref-type="bibr" rid="B4">4</xref>). Over time, this can lead to the development of complications such as diabetes related foot complications. Hence, it is crucial to identify bacteria contributing to the development and exacerbation of this disease, as well as those that play a protective role in preventing it.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Aim of systematic review</title>
<p>Several studies have established that the composition and function of gut bacterial microbiota in individuals with T2DM are different from healthy individuals. Despite this, the specific microbial changes remain largely unknown. This systematic review aims to provide an updated review on whether the gut bacterial microbiota profile of individuals with T2DM differ from healthy individuals. Mechanisms contributing to the pathophysiology of T2DM will also be discussed.</p>
</sec>
<sec id="s3">
<label>3</label>
<title>Methods</title>
<sec id="s3_1">
<label>3.1</label>
<title>Search strategy</title>
<p>We performed a detailed systematic review of published data according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta Analyses) guidelines. The methodological approach was registered in PROSPERO (International prospective register of systematic reviews) database under protocol number CRD42023459937.</p>
<p>Embase and PubMed literature search was performed on articles between Jan 1<sup>st</sup> 2010 and April 15<sup>th</sup> 2024. The search strategy combined MESH (Medline) and free terms using the boolean operators &#x201c;AND&#x201d; and &#x201c;OR&#x201d;. &#x201c;Diabetes Mellitus&#x201d;, &#x201c;gut microbiome&#x201d;, &#x201c;intestinal flora&#x201d; and &#x201c;gastrointestinal microbiome&#x201d; were terms used in the search. A complementary search was carried out in the references of studies included. The search protocol is shown below:</p>
<p>((&#x201c;Diabetes Mellitus&#x201d;[Majr: NoExp] OR &#x201c;Diabetes Mellitus, Type 2&#x201d;[Majr: NoExp] OR T2D[Text Word] OR type 2 diabetes[Text Word] OR &#x201c;type 2 diabetes mellitus&#x201d;[Title/Abstract:~2]) AND (&#x201c;Gastrointestinal Microbiome&#x201d;[Majr] OR gut micro*[Text Word] OR intestine flora[Text Word] OR intestinal flora[Text Word] OR gut flora[Text Word] OR intestine micro*[Text Word] OR intestinal micro*[Text Word] OR Gastrointestinal micro*[Text Word])) NOT (animals[Mesh] NOT humans[Mesh])</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Eligibility criteria</title>
<p>All original peer reviewed research publications were considered. Eligible studies included observational human studies specifically examining gut microbiota in T2DM patients compared with control groups.</p>
<p>Exclusions: studies on type 1 diabetes mellitus or gestational diabetes; those without control groups; longitudinal studies; studies on children or adolescents aged &lt;18 years or in the elderly aged &gt;80 years; non-English studies; studies with only abstracts available; and studies with high risk of bias.</p>
<p>Microbial taxa were defined as positively or negatively associated with T2DM if p value &lt;0.05 when comparing taxa abundance between individuals with T2DM and healthy controls. For linear discriminant analysis (LDA), a score of &gt;4 indicated a positively association, while &lt;4 indicated a negative association. For prospective studies with interventions, the baseline result was used. For studies with more than one population group, results were only reported to be positively or negatively associated if both groups demonstrated the result. Microbial taxa without reported p values, p values &gt;0.05 or LDA values &lt;4 were classified as non-significant and into an increased, decreased or equivocal (equal abundance or not reported) trend.</p>
<p>The titles and abstracts of all identified studies were reviewed by two independent authors. Studies were assessed using the Newcastle&#x2013;Ottawa Quality Assessment Scale. This instrument included three domains: selection, comparability, and outcomes. High risk of bias was determined when some of the domains did not receive a point, in which case that study was excluded. Ambiguities in selection criteria were resolved by discussions between at least 3 researchers.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Data extraction</title>
<p>The data extracted from the studies included in this systematic review are summarized in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref> with the following information: author and year of publication, country and period of study/seasons (if available), sample size and characterization of the study population, method used to evaluate the gut microbiota and bacteria analyzed (if applicable), and outcomes.</p>
</sec>
</sec>
<sec id="s4" sec-type="results">
<label>4</label>
<title>Results and discussion</title>
<p>In total, 58 human observational studies were included in this review (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The majority of these studies reported associations between specific taxa and the development and exacerbation of T2DM. However, no taxa were universally agreed upon to be positively or negatively associated with T2DM.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Search Strategy.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1486793-g001.tif"/>
</fig>
<sec id="s4_1">
<label>4.1</label>
<title>Alpha and beta diversity</title>
<sec id="s4_1_1">
<label>4.1.1</label>
<title>Alpha diversity</title>
<p>Alpha diversity refers to the microbial species diversity (richness) within a functional community. Reported indices included the Shannon index, Chao1 index, Simpson index, Faith index, Observed index, Abundance-based Coverage Estimator (ACE) index and Good&#x2019;s Coverage. The Shannon index was the most commonly reported metric. A p value of &lt;0.05 was deemed statistically significant. Most analyses reported no difference in alpha diversity between T2DM individuals and healthy controls (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Alpha diversity metrics varied by ethnicity, oral antihyperglycemic agents and other environmental factors (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B40">40</xref>). Higher diversity was observed in treatment na&#xef;ve T2DM individuals compared to those receiving treatment (<xref ref-type="bibr" rid="B41">41</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>PMID of studies reporting alpha diversity indices in type 2 diabetes compared to controls.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Alpha diversity Indices</th>
<th valign="top" align="left">Increased in T2DM</th>
<th valign="top" align="left">Reduced in T2DM</th>
<th valign="top" align="left">No significant difference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Shannon</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B19">19</xref>&#x2013;<xref ref-type="bibr" rid="B33">33</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Chao 1</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B10">10</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Simpson</td>
<td valign="top" align="left"/>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B12">12</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B31">31</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Faith</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B10">10</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B36">36</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Observed</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B38">38</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">ACE</td>
<td valign="top" align="left"/>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B31">31</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Good&#x2019;s Coverage</td>
<td valign="top" align="left"/>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B25">25</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Unspecified</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B39">39</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s4_1_2">
<label>4.1.2</label>
<title>Beta diversity</title>
<p>Beta diversity describes the amount of differentiation and dissimilarities between gut bacterial microbiota communities. The most common beta diversity metric used was the unweighted Unifrac distance. A p value of&#x2009;&lt;&#x2009;0.05 was deemed significant. The majority of studies reported a significant difference in beta diversity in individuals with T2DM compared to healthy controls (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Summary of studies reporting beta diversity in type 2 diabetes compared to controls.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left">Significant difference</th>
<th valign="top" align="left">Difference</th>
<th valign="top" align="left">No significant difference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Beta Diversity</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B34">34</xref>&#x2013;<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B42">42</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>If difference in beta diversity was observed but no p values were reported, they were classified as having difference.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Phylum analysis - prevalence of firmicutes, bacteroidetes and the firmicutes/bacteroidetes ratios</title>
<p>This review focuses on the phylum and genus levels of gut bacteria. The human gut bacterial microbiota consists mainly of Firmicutes and Bacteroidetes, which make up over 90% of the community. The remaining 10% includes phyla like Proteobacteria, Actinobacteria and Verrucomicrobia. In individuals with T2DM, the most commonly altered phyla are Firmicutes and Bacteroidetes (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>, <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Number of human studies reporting Firmicutes and Bacteroidetes abundance and their association with T2DM. Studies were classified as having a significant association with T2DM (either positive or negative) if the p values were &lt;0.05. Studies were classified as having a non-significant association with T2DM if they did not report on p values, had p values &gt;0.05 or an LDA value &lt;4 or &gt;-4. These studies were then further classified into a non-significant association but trend increased, equivocal (equal abundance or not reported), or trend decreased.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1486793-g002.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Summary of studies reporting Firmicutes and Bacteroidetes abundance.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left">Increase</th>
<th valign="top" align="left">Decrease</th>
<th valign="top" align="left">No significant difference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Firmicutes</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B43">43</xref>&#x2013;<xref ref-type="bibr" rid="B46">46</xref>)</td>
<td valign="top" align="left">&#x2191; (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B38">38</xref>)<break/>&#x2193; (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B39">39</xref>)<break/>Equivocal (<xref ref-type="bibr" rid="B47">47</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Bacteroidetes</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B48">48</xref>)</td>
<td valign="top" align="left">&#x2191; (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B37">37</xref>)<break/>&#x2193; (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B43">43</xref>)<break/>Equivocal (<xref ref-type="bibr" rid="B24">24</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Studies with no significant differences are reported as trends. &#x2191; - increase, &#x2193; - decrease.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s4_2_1">
<label>4.2.1</label>
<title>Firmicutes and bacteroidetes</title>
<p>Overall, an unchanged Firmicutes and reduced Bacteroidetes abundance were observed among individuals with T2DM.</p>
<p>An unchanged Firmicutes abundance may be due to a simultaneous increase in opportunistic Firmicutes pathogens such as <italic>Enterococcus</italic> (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>), <italic>Eisenbergiella</italic> (<xref ref-type="bibr" rid="B16">16</xref>) <italic>Acidaminococcus</italic> (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B41">41</xref>) and a decrease in beneficial Firmicutes microbes including <italic>Faecalibacterium</italic> and <italic>Roseburia</italic> (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>)</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Genera found to be positively associated with type 2 diabetes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Genus</th>
<th valign="top" align="left">Increased</th>
<th valign="top" align="left">Decreased</th>
<th valign="top" align="left">No significant difference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<italic>Lactobacillus</italic>
</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B49">49</xref>&#x2013;<xref ref-type="bibr" rid="B54">54</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B55">55</xref>)</td>
<td valign="top" align="left">&#x2191; (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B47">47</xref>)<break/>&#x2193; (<xref ref-type="bibr" rid="B14">14</xref>)<break/>Equivocal (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B41">41</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Escherichia-Shigella</italic>
</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B47">47</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="left">&#x2191; (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B56">56</xref>)<break/>&#x2193; (<xref ref-type="bibr" rid="B55">55</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Subdoligranulum</italic>
</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B55">55</xref>)</td>
<td valign="top" align="left">&#x2191; (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B36">36</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Enterococcus</italic>
</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="left"/>
<td valign="top" align="left">&#x2191; (<xref ref-type="bibr" rid="B26">26</xref>)<break/>&#x2193; (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B50">50</xref>)<break/>Equivocal (<xref ref-type="bibr" rid="B51">51</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Fusobacterium</italic>
</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="left"/>
<td valign="top" align="left">&#x2191; (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B54">54</xref>)<break/>&#x2193; (<xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B55">55</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Studies with no significant differences are reported as trends. &#x2191; - increase, &#x2193; - decrease.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Genera found to be negatively associated with type 2 diabetes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Genus/Species</th>
<th valign="top" align="left">Increased</th>
<th valign="top" align="left">Decreased</th>
<th valign="top" align="left">No significant difference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Akkermansia</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B12">12</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="left">&#x2191; (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B39">39</xref>) &#x2193; (<xref ref-type="bibr" rid="B55">55</xref>)<break/>Equivocal (<xref ref-type="bibr" rid="B41">41</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Akkermansia Muciniphila</italic>
</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B57">57</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B49">49</xref>)</td>
<td valign="top" align="left">&#x2191; (<xref ref-type="bibr" rid="B58">58</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Bifidobacterium</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B59">59</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B60">60</xref>)</td>
<td valign="top" align="left">&#x2191; (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B61">61</xref>) &#x2193; (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B55">55</xref>)<break/>Equivocal (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B51">51</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Bacteroides</italic>
</td>
<td valign="top" align="left"/>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="top" align="left">&#x2191; (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B61">61</xref>)<break/>&#x2193; (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B59">59</xref>).<break/>Equivocal (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B35">35</xref>).</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Roseburia</italic>
</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B10">10</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B59">59</xref>)</td>
<td valign="top" align="left">&#x2191; (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B61">61</xref>) &#x2193; (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B26">26</xref>)<break/>Equivocal (<xref ref-type="bibr" rid="B19">19</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Faecalibacterium</italic>
</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="left">&#x2191; (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B61">61</xref>) &#x2193; (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B59">59</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Faecalibacterium prausnitzii</italic>
</td>
<td valign="top" align="left"/>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B62">62</xref>)</td>
<td valign="top" align="left">&#x2193; (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B40">40</xref>)<break/>Equivocal (<xref ref-type="bibr" rid="B58">58</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Prevotella</italic>
</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B51">51</xref>)</td>
<td valign="top" align="left">&#x2191; (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B59">59</xref>)<break/>&#x2193; (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B61">61</xref>)<break/>Equivocal (<xref ref-type="bibr" rid="B33">33</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Studies with no significant differences are reported as trends. &#x2191; - increase, &#x2193; - decrease.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Meanwhile, Bacteroidetes are thought to be beneficial to human health with several genera including <italic>Bacteroides</italic> and <italic>Prevotella</italic> considered an untapped resource for next-generation prebiotics. Both these taxa, proposed to mitigate metabolic endotoxaemia and inflammation, were reduced among individuals with T2DM (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). Bacteroidetes have negative correlation with fasting blood glucose levels (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B36">36</xref>), corresponding with their reduced levels in T2DM.</p>
</sec>
<sec id="s4_2_2">
<label>4.2.2</label>
<title>The firmicutes/bacteroidetes ratio</title>
<p>The Firmicutes/Bacteroidetes (F/B) ratio (<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>) represents the relationship between two dominant phyla and is commonly used as a marker of gut dysbiosis.</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Firmicutes-Bacteroides Ratio.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left">Increased</th>
<th valign="top" align="left">Suggestive reduced</th>
<th valign="top" align="left">Suggestive increased</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Firmicutes/Bacteroides Ratio</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B58">58</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Considered suggestive if no significance was reported or if p &gt;0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The F/B ratio was not consistently associated with clinical parameters. Larsen et&#xa0;al. found a positive correlation between the Bacteroidetes to Firmicutes ratio and plasma glucose (<xref ref-type="bibr" rid="B37">37</xref>) while Wang et&#xa0;al. reported a positive correlation between the F/B ratio and body mass index (BMI), fasting blood glucose levels and HBA1c (<xref ref-type="bibr" rid="B27">27</xref>). Other studies found no correlation with fasting, postprandial blood glucose levels (<xref ref-type="bibr" rid="B30">30</xref>), age, HBA1c or lipid profile (<xref ref-type="bibr" rid="B39">39</xref>). This suggests that while the F/B ratio indicates dysbiosis, it does not specifically predict metabolic outcomes.</p>
</sec>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Genera analysis - bacteria involved in type 2 diabetes</title>
<sec id="s4_3_1">
<label>4.3.1</label>
<title>Genera of bacteria found to be increased in individuals with type 2 diabetes</title>
<p>
<italic>Lactobacillus</italic>, <italic>Escherichia-Shigella</italic>, <italic>Enterococcus</italic>, <italic>Subdoligranulum</italic> and <italic>Fusobacteria</italic> were found to be positively associated with T2DM (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>, <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Number of human studies reporting on genera found to be positively associated with T2DM.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1486793-g003.tif"/>
</fig>
<sec id="s4_3_1_1">
<label>4.3.1.1</label>
<title>
<italic>Lactobacillus</italic>
</title>
<p>The Lactobacillus genus comprises of over 200 physiologically diverse gram-positive, non-spore forming lactic acid bacteria. Despite its positive association with T2DM, <italic>Lactobacillus</italic> species such as <italic>Lactobacillus paracasei</italic> (<xref ref-type="bibr" rid="B63">63</xref>)<italic>, Lactobacillus fermentum</italic> (<xref ref-type="bibr" rid="B64">64</xref>) <italic>Lactobacillus acidophilus</italic> and <italic>Lactobacillus rhamnosus</italic> (<xref ref-type="bibr" rid="B65">65</xref>, <xref ref-type="bibr" rid="B66">66</xref>) have demonstrated anti-inflammatory properties or benefits on host metabolism as a combination probiotic with <italic>Bifidobacterium lactic</italic> (<xref ref-type="bibr" rid="B65">65</xref>, <xref ref-type="bibr" rid="B66">66</xref>).</p>
<p>The positive association of <italic>Lactobacillus</italic> with T2DM may therefore be driven by Metformin. Metformin, a first-line antihyperglycemic agent for treatment of T2DM, may alter bacterial abundances depending on the taxon&#x2019;s resistance or sensitivity to the drug. In 2015, using 784 human gut metagnomes, Forslund et&#xa0;al. confirmed this positive association between metformin and Lactobacillus (<xref ref-type="bibr" rid="B55">55</xref>).</p>
<p>Among the eleven studies that reported an increase in <italic>Lactobacillus</italic> abundance (<xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B49">49</xref>&#x2013;<xref ref-type="bibr" rid="B54">54</xref>), only three studies (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B52">52</xref>) accounted for metformin use. Among these, one study found higher <italic>Lactobacillus</italic> levels regardless of metformin use (<xref ref-type="bibr" rid="B50">50</xref>), one found higher levels only in participants on unspecified oral antihyperglycemic agents (<xref ref-type="bibr" rid="B21">21</xref>), while the last study found no difference when accounting for metformin (<xref ref-type="bibr" rid="B52">52</xref>). More studies on treatment na&#xef;ve T2DM or controlled for Metformin use are warranted.</p>
</sec>
<sec id="s4_3_1_2">
<label>4.3.1.2</label>
<title>
<italic>Escherichia-Shigella</italic>
</title>
<p>The <italic>Escherichia-Shigella</italic> genus, part of the family Enterobacteriaceae, includes multiple opportunistic pathogens (<xref ref-type="bibr" rid="B67">67</xref>). These gram-negative bacteria produce proinflammatory components such as lipopolysaccharide (LPS) and peptidoglycans, leading to intestinal and systemic inflammation (<xref ref-type="bibr" rid="B12">12</xref>). This systemic inflammation and consequent insulin resistance are key drivers for T2DM.</p>
<p>Unsurprisingly, <italic>Escherichia-Shigella</italic> abundance correlates with variables related to diabetes and obesity, including insulin resistance, diminished beta cell function (<xref ref-type="bibr" rid="B56">56</xref>), fasting glucose (<xref ref-type="bibr" rid="B41">41</xref>), HBA1c and BMI (<xref ref-type="bibr" rid="B47">47</xref>). This genus has been implicated in T2DM complications such as peripheral neuropathy (<xref ref-type="bibr" rid="B68">68</xref>), autonomic neuropathy (<xref ref-type="bibr" rid="B69">69</xref>), retinopathy (<xref ref-type="bibr" rid="B70">70</xref>), diabetic nephropathy (<xref ref-type="bibr" rid="B71">71</xref>) and chronic diabetic foot infections (<xref ref-type="bibr" rid="B72">72</xref>). <italic>Escherichia-Shigella</italic> has also been associated with an increasing abundance from healthy controls, pre-diabetes to T2DM (<xref ref-type="bibr" rid="B56">56</xref>). An increase <italic>in Escherichia-Shigella</italic> has also been associated with metformin use (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B73">73</xref>). The outlier study that reported decreased <italic>Escherichia-Shigella</italic> abundance may be due to dietary or environmental differences (<xref ref-type="bibr" rid="B36">36</xref>).</p>
</sec>
<sec id="s4_3_1_3">
<label>4.3.1.3</label>
<title>
<italic>Subdoligranulum</italic>
</title>
<p>
<italic>Subdoligranulum</italic> are anaerobic, spore-free gram-negative bacteria (<xref ref-type="bibr" rid="B12">12</xref>). This genera remains relatively underexplored and has only two known species - <italic>Subdoligranulum variabile</italic> and <italic>Subdoligranulum didolesgii</italic>. Four studies (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B38">38</xref>) found Subdoligranulum more common in T2DM (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>) while two studies reported a negative association between T2DM and <italic>Subdoligranulum variabile</italic> (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B74">74</xref>). These discrepancies may be related to species-specific properties.</p>
<p>
<italic>Subdoligranulum</italic> has been linked to both promotion (<xref ref-type="bibr" rid="B75">75</xref>) and reduction of chronic inflammation (<xref ref-type="bibr" rid="B74">74</xref>). <italic>Subdoligranulum didolesgii</italic> has been associated with rheumatoid arthritis by triggering synovitis, while <italic>Subdoligranulum variabile</italic> has anti-inflammatory properties through short chain fatty acid (SCFA) production. Decreased levels of <italic>Subdoligranulum variabile</italic> in T2DM individuals may be suggestive of an overall state of inflammation (<xref ref-type="bibr" rid="B46">46</xref>).</p>
<p>
<italic>Subdoligranulum&#x2019;s</italic> positive association with T2DM may be influenced by metformin use (<xref ref-type="bibr" rid="B55">55</xref>). Of four studies reporting increased <italic>Subdoligranulum</italic>, two did not report metformin use (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B32">32</xref>), one excluded metformin users (<xref ref-type="bibr" rid="B30">30</xref>), and one found an increase regardless of metformin use (<xref ref-type="bibr" rid="B38">38</xref>).</p>
</sec>
<sec id="s4_3_1_4">
<label>4.3.1.4</label>
<title>
<italic>Enterococcus</italic>
</title>
<p>
<italic>Enterococcus</italic> are gram-positive facultative anaerobic cocci found in intestinal microbiota and on the skin. Some species are opportunistic pathogens causing severe infections such as bacterial endocarditis and spontaneous bacterial peritonitis, while others (<italic>Enterococcus durans</italic>) produce anti-inflammatory SCFAs (<xref ref-type="bibr" rid="B76">76</xref>).</p>
<p>
<italic>Enterococcus</italic> may contribute to the development of T2DM through two mechanisms. Firstly, <italic>Enterococcus faecalis</italic> secretes matrix metalloprotease gelatinase causing chronic intestinal inflammation and impaired gut barrier integrity (<xref ref-type="bibr" rid="B77">77</xref>), leading to systemic inflammation. Secondly, <italic>Enterococcus</italic> has been linked to impaired glucose homeostasis. Associations include higher HBA1c (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B27">27</xref>), fasting (<xref ref-type="bibr" rid="B27">27</xref>) and post prandial (<xref ref-type="bibr" rid="B16">16</xref>) glucose levels, and impaired beta cell function (<xref ref-type="bibr" rid="B27">27</xref>). Mechanistically this may relate to overgrowth of enterococcus leading to proportional decreases in beneficial anti-inflammatory bacteria (<xref ref-type="bibr" rid="B50">50</xref>).</p>
</sec>
<sec id="s4_3_1_5">
<label>4.3.1.5</label>
<title>
<italic>Fusobacterium</italic>
</title>
<p>
<italic>Fusobacterium</italic> are anaerobic gram-negative rod bacteria. Similar to <italic>Enterococcus</italic>, this genus is part of the regular colorectal microbiota. <italic>Fusobacterium</italic>, in particular <italic>Fusobacterium nucleatum</italic>, has been associated with increased production of inflammatory cytokines such as IL-6, IL-8, TNF-&#x3b1; and COX-2 (<xref ref-type="bibr" rid="B78">78</xref>). This may contribute to the chronic inflammatory state seen in T2DM. <italic>Fusobacterium</italic> has also been associated with diabetic nephropathy (<xref ref-type="bibr" rid="B79">79</xref>) and its species found increased among individuals with T2DM (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B44">44</xref>).</p>
</sec>
</sec>
<sec id="s4_3_2">
<label>4.3.2</label>
<title>Genera of bacteria found to be reduced in individuals with type 2 diabetes</title>
<p>
<italic>Akkermansia</italic>, <italic>Bifidobacterium</italic>, <italic>Bacteroides</italic>, <italic>Roseburia</italic>, <italic>Faecalibacteirum</italic> and <italic>Prevotella</italic> were found to be negatively associated with T2DM (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>, <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Species abundance of <italic>Bifidobacterium</italic>, <italic>Bacteroides</italic>, <italic>Roseburia</italic> and <italic>Prevotella</italic> can be found in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;2.</bold>
</xref>
</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Number of studies reporting on genera found to be negatively associated with T2DM.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1486793-g004.tif"/>
</fig>
<sec id="s4_3_2_1">
<label>4.3.2.1</label>
<title>
<italic>Akkermansia</italic>
</title>
<p>
<italic>Akkermansia</italic> is gram-negative bacterium belonging to the Verrucomicrobia phylum. <italic>Akkermansia mucinphilia</italic>, a symbiont microbe colonizing the human intestinal mucosal barrier, is a promising next generation probiotic. It plays a critical role in the maintenance of intestinal barrier, production of anti-inflammatory cytokines and SCFA benefiting host metabolism. In diabetic rat models, administration of live attenuated <italic>Akkermansia</italic> reduced oxidative stress, lipotoxicity, LPS and inflammation (<xref ref-type="bibr" rid="B80">80</xref>). In individuals with T2DM, combined probiotics containing <italic>Akkermansia muciniphila</italic> reduced HBA1c and postprandial glucose control (<xref ref-type="bibr" rid="B81">81</xref>).</p>
<p>Reduced levels of <italic>Akkermansia mucinphilia</italic> are associated with T2DM. <italic>Akkermansia</italic> is inversely correlated with HBA1c and fasting glucose and positively with anti-oxidants (<xref ref-type="bibr" rid="B41">41</xref>).</p>
</sec>
<sec id="s4_3_2_2">
<label>4.3.2.2</label>
<title>
<italic>Bifidobacterium</italic>
</title>
<p>
<italic>Bifidobacterium</italic> is a dominant non-spore-forming, gram-positive taxa that help maintain balances between the various intestinal floras (<xref ref-type="bibr" rid="B82">82</xref>). Key <italic>Bifidobacterium</italic> species include <italic>Bifidobacteroim bifidum</italic>, <italic>Bifidobacterium adolescentis</italic> and <italic>Bifidobacterium longum</italic>. These species have been used as probiotics in humans (<xref ref-type="bibr" rid="B65">65</xref>, <xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B83">83</xref>) and administered in animal studies (<xref ref-type="bibr" rid="B84">84</xref>, <xref ref-type="bibr" rid="B85">85</xref>) leading to reduced cytokine production and improved metabolic parameters such as glucose and HBA1c (<xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B84">84</xref>).</p>
<p>Apart from SCFA production, <italic>in vivo</italic> and <italic>in vitro</italic> studies show that <italic>Bifidobacterium</italic> administration markedly decreased intestinal permeability by increasing tight junction expression and reducing inflammatory cytokines such as IL-6 and TNF-&#x3b1; (<xref ref-type="bibr" rid="B86">86</xref>). This reduces metabolic endotoxaemia, systemic inflammation and may explain its overall negative association with T2DM (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). An increase in <italic>Bifidobacterium</italic> has been attributed to antihyperglycemic agents (<xref ref-type="bibr" rid="B16">16</xref>) or a U shaped association with T2DM (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B59">59</xref>).</p>
</sec>
<sec id="s4_3_2_3">
<label>4.3.2.3</label>
<title>
<italic>Bacteroides</italic>
</title>
<p>
<italic>Bacteroides</italic> is a gram-negative obligate anaerobic taxa constituting approximately 25% of the intestinal gut microbiota. As commensals, these taxa generally maintain a beneficial relationship with the human gut. Overall, <italic>Bacteroides</italic> species including <italic>Bacteroides fragilis</italic>, <italic>Bacteroides thetaiotamicron</italic>, <italic>Bacteroides vulgutas</italic> or <italic>Bacteroides dorei</italic> have been associated with a protective effect against T2DM through anti-inflammatory properties (<xref ref-type="bibr" rid="B87">87</xref>) and an improved gut barrier integrity from mucus (<xref ref-type="bibr" rid="B88">88</xref>) and SCFA production (<xref ref-type="bibr" rid="B89">89</xref>). <italic>Bacteroides</italic> species also have a structurally different LPS that is less pro-inflammatory than classical enterobacterial LPS (<xref ref-type="bibr" rid="B90">90</xref>). Discrepancies in <italic>Bacteroides</italic> abundance (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>) may be due to the bacteriostatic and bactericidal effect of metformin (<xref ref-type="bibr" rid="B55">55</xref>) or potential pathogenic Bacteroides species that can contribute to chronic inflammation (<xref ref-type="bibr" rid="B39">39</xref>).</p>
</sec>
<sec id="s4_3_2_4">
<label>4.3.2.4</label>
<title>
<italic>Roseburia</italic>
</title>
<p>
<italic>Roseburia</italic> is a gram-positive, SCFA-producing member of the Firmicutes phylum that inhabits the human colon. <italic>Roseburia</italic> has been identified as a pathognomonic bacteria in T2DM (<xref ref-type="bibr" rid="B91">91</xref>) with significant lower levels in participants. Reduced species include <italic>Roseburia hominis</italic> (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B46">46</xref>), <italic>Roseburia intestinalis</italic> and <italic>Roseburia inulinivorans</italic> (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B55">55</xref>). <italic>Roseburia</italic> improves glucose homeostasis and intestinal permeability through SCFA production and anti-inflammatory properties (<xref ref-type="bibr" rid="B92">92</xref>). Gut microbiota transplantations from lean donors to recipients with metabolic syndrome led to increased fecal Roseburia and butyrate levels, correlating with improved insulin sensitivity (<xref ref-type="bibr" rid="B93">93</xref>).</p>
</sec>
<sec id="s4_3_2_5">
<label>4.3.2.5</label>
<title>
<italic>Faecalibacterium</italic>
</title>
<p>
<italic>Faecalibacterium</italic> are human gut colonizers and well-known SCFA producers. <italic>Faecalibacterium</italic> and <italic>Faecalibacterium prausnitzii</italic> were consistently reduced in T2DM (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>), with the later being highly discriminant (<xref ref-type="bibr" rid="B91">91</xref>). In mice, <italic>Faecalibacterium prausnitzii</italic> administration was associated with improved glucose levels and HBA1c, making it a promising orally administered probiotic (<xref ref-type="bibr" rid="B94">94</xref>). <italic>Faecalibacterium</italic> is negatively associated with HBA1c (<xref ref-type="bibr" rid="B39">39</xref>).</p>
</sec>
<sec id="s4_3_2_6">
<label>4.3.2.6</label>
<title>
<italic>Prevotella</italic>
</title>
<p>
<italic>Prevotella</italic> has been linked to both pathogenic effects including systemic inflammation and insulin resistance (<xref ref-type="bibr" rid="B95">95</xref>) and beneficial effects like SCFA production (<xref ref-type="bibr" rid="B96">96</xref>) and reduced gut permeability via increased production of tight junction proteins (<xref ref-type="bibr" rid="B97">97</xref>). <italic>Prevotella</italic> is negatively correlated with HBA1c (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B98">98</xref>), but positively with blood glucose (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B41">41</xref>). The discrepancies within the <italic>Prevotella</italic> genus may be due to diet (<xref ref-type="bibr" rid="B24">24</xref>) and genetic diversity within its species (<xref ref-type="bibr" rid="B99">99</xref>).</p>
</sec>
</sec>
<sec id="s4_3_3">
<label>4.3.3</label>
<title>Genera of bacteria found to have mixed findings in type 2 diabetes</title>
<p>Unlike previous reviews (<xref ref-type="bibr" rid="B100">100</xref>), <italic>Blautia</italic> and <italic>Ruminococcus</italic> were found to have mixed associations (<xref ref-type="table" rid="T7">
<bold>Table&#xa0;7</bold>
</xref>).</p>
<table-wrap id="T7" position="float">
<label>Table&#xa0;7</label>
<caption>
<p>Genera found to have mixed associations with type 2 diabetes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Genus</th>
<th valign="top" align="left">Increased</th>
<th valign="top" align="left">Decreased</th>
<th valign="top" align="left">No significant difference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<italic>Blautia</italic>
</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B101">101</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B59">59</xref>, <xref ref-type="bibr" rid="B61">61</xref>)</td>
<td valign="top" align="left">&#x2191; (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>)<break/>&#x2193; (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B56">56</xref>)<break/>Equivocal (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B41">41</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Ruminococcus</italic>
</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="left">&#x2191; (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B47">47</xref>)<break/>&#x2193; (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B55">55</xref>)<break/>Equivocal (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B59">59</xref>, <xref ref-type="bibr" rid="B61">61</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Studies with no significant differences are reported as trends. &#x2191; - increase, &#x2193; - decrease.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4_4">
<label>4.4</label>
<title>Microbiota effects on metabolism in type 2 diabetes individuals</title>
<p>In T2DM, gut dysbiosis leads to increased systemic inflammation and an unfavorable host metabolism (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). This is due to an increase in pro-inflammatory cytokine and LPS production, increased gut permeability enabling bacterial endotoxin translocation, and reduced beneficial gut metabolites. Ultimately, systemic inflammation induces insulin resistance and contributes to chronic hyperglycemia and development of complications.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Mechanisms by which gut dysbiosis contributes to the development and progression of T2DM. Gut dysbiosis in T2DM leads to increased systemic inflammation and an unfavorable host metabolism. This occurs due to increased production of pro-inflammatory cytokine and LPS, increased gut permeability enabling bacterial endotoxin translocation, and reduced production of beneficial gut metabolites. Ultimately, this systemic inflammation induces insulin resistance. Coupled with altered glucose metabolism in T2DM, these factors contribute to chronic hyperglycemia and the development of complications.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1486793-g005.tif"/>
</fig>
<sec id="s4_4_1">
<label>4.4.1</label>
<title>Increased gut permeability</title>
<p>Patients with T2DM have increased intestinal permeability compared to age, sex and BMI matched controls (<xref ref-type="bibr" rid="B102">102</xref>). This results in translocation of gut microbes and their products into the bloodstream, in turn causing metabolic endotoxaemia and increased systemic inflammation. This is supported by elevated blood levels of bacterial cell wall products and circulating intestinal bacteria in individuals with pre-diabetes (<xref ref-type="bibr" rid="B103">103</xref>) and T2DM (<xref ref-type="bibr" rid="B51">51</xref>).</p>
<p>Gut bacterial dysbiosis increases gut permeability via three mechanisms: alterations in expression, canalization and distribution of tight junction proteins; overactivation of the endocannabinoid system; and altered production of beneficial gut metabolites including SCFA and bile acids.</p>
<sec id="s4_4_1_1">
<label>4.4.1.1</label>
<title>Alterations in tight junction proteins</title>
<p>The intestinal lining composed of epithelial cells assisted by tight junctions (TJ), acts as a physical barrier against microorganisms and antigens. TJ controls intestinal permeability (<xref ref-type="bibr" rid="B104">104</xref>). In T2DM, reduction in beneficial microbes <italic>Bacteroides</italic>, <italic>Bifidobacterium</italic>, <italic>Faecalibacterium</italic>, <italic>Roseburia</italic> and <italic>Akkermansia</italic>, leads to decreased gene expression and therefore reduced localization, production, and distribution of TJ proteins. This results in increased gut permeability.</p>
<p>Mouse studies show that pre-treatment with <italic>Bifidobacterium</italic> (<xref ref-type="bibr" rid="B86">86</xref>), <italic>Bacteroides vulgatus, Bacteroides dorei</italic> (<xref ref-type="bibr" rid="B105">105</xref>) or <italic>Prevotella histicola</italic> (<xref ref-type="bibr" rid="B97">97</xref>), upregulates TJ genes leading to reduced intestinal permeability and inflammation. <italic>Bacteroides fragilis</italic> (<xref ref-type="bibr" rid="B106">106</xref>&#x2013;<xref ref-type="bibr" rid="B108">108</xref>), <italic>Bacteroides facies</italic> (<xref ref-type="bibr" rid="B109">109</xref>), <italic>Bifidobacterium bifidum</italic> (<xref ref-type="bibr" rid="B110">110</xref>), <italic>Bifidobacterium adolescentis</italic> (<xref ref-type="bibr" rid="B111">111</xref>) and <italic>Bifidobacterium longum</italic> (<xref ref-type="bibr" rid="B112">112</xref>) have also been found to increase TJ proteins.</p>
<p>
<italic>Faecalibacterium prausnitzii</italic> and <italic>Roseburia intestinalis</italic> reduce gut permeability by production of butyrate and upregulation of TJ proteins (<xref ref-type="bibr" rid="B89">89</xref>, <xref ref-type="bibr" rid="B109">109</xref>). Butyrate is essential for colonic epithelial cells, offering anti-inflammatory properties and protecting against pathogens (<xref ref-type="bibr" rid="B30">30</xref>). In db/db mice, <italic>Faecalibacterium prausnitzii</italic> also produces microbial anti-inflammatory molecule, increasing TJ expression and restoring the damaged intestinal barrier (<xref ref-type="bibr" rid="B113">113</xref>).</p>
<p>
<italic>Akkermansia muciniphila</italic> decreases gut permeability by promoting TJ protein expression via its outer membrane protein Amuc_1100. Additionally, it improves intestinal TJ via AMPK activation in the epithelium (<xref ref-type="bibr" rid="B114">114</xref>) and modulation of the endocannabinoid system (<xref ref-type="bibr" rid="B115">115</xref>).</p>
<p>Less understood are the bacteria Rumincoccaeceae and <italic>Blautia</italic> which may be associated with increased gut permeability (<xref ref-type="bibr" rid="B116">116</xref>). Further studies are needed to confirm these findings and understand their mechanisms.</p>
</sec>
<sec id="s4_4_1_2">
<label>4.4.1.2</label>
<title>Endocannabinoid system</title>
<p>There is growing evidence that the endocannabinoid system regulates intestinal inflammation and mucosal barrier permeability, thus influencing T2DM pathophysiology.</p>
<p>The endocannabinoid system, historically associated with cognitive and emotional processes, also regulates intestinal inflammation. The two main endocannabinoids are anadamide (AEA) and 2 arachidonylglycerol (2-AG). They act primarily through cannabinoid receptors CB1R and CB2R. CB1R is expressed in gastrointestinal epithelial cells and myenteric and submucosal plexuses while CB2R may be found on enteric neurons (<xref ref-type="bibr" rid="B117">117</xref>).</p>
<p>Overactivation of CB1R via AEA and 2-AG leads to increased gut permeability (<xref ref-type="bibr" rid="B117">117</xref>). In T2DM mice models, CB1R antagonists were shown to decrease gut permeability by reducing inflammation and alterations in TJ proteins (<xref ref-type="bibr" rid="B118">118</xref>). <italic>Akkermansia muciniphila</italic> antagonises CB1R through its outer membrane protein Amuc_1100, reducing gut permeability, LPS levels and systemic inflammation (<xref ref-type="bibr" rid="B115">115</xref>). <italic>Bacteroides fragilis</italic> also affects epithelial barrier permeability through the endocannabinoid system (<xref ref-type="bibr" rid="B119">119</xref>).</p>
<p>Oxidative stress, inflammation, and insulin secretion contribute to T2DM and its complications. Although unrelated to gut permeability, CB2R activation decreases inflammation and oxidative stress and promotes pancreatic insulin secretion via calcium signal regulation (<xref ref-type="bibr" rid="B120">120</xref>). This suggests potential benefits of CB2R agonists in T2DM management.</p>
</sec>
</sec>
<sec id="s4_4_2">
<label>4.4.2</label>
<title>Alteration to the gut metabolites</title>
<p>The gut microbiota acts as a metabolic organ and facilitates nutrient and energy harvesting from food. It produces metabolites that regulate host metabolism including SCFA and bile acids which maintain the intestinal barrier (<xref ref-type="bibr" rid="B4">4</xref>). Alterations in the gut microbiota is thus associated with alteration to the gut metabolites which in turn contributes to T2DM and its complications.</p>
<sec id="s4_4_2_1">
<label>4.4.2.1</label>
<title>Alteration to short chain fatty acids</title>
<p>SCFAs are produced by gut microbiota from non-digestible carbohydrates. They provide energy to colonocytes, reduce inflammation and regulate satiety (<xref ref-type="bibr" rid="B121">121</xref>). The most common SCFAs are acetate, propionate and butyrate, and are predominantly produced by anaerobic Bacteroidetes and Firmicutes phyla.</p>
<p>SCFAs have multiple beneficial effects such as maintaining gut permeability, modulating host metabolism and anti-inflammatory effects. Reduced levels of SCFA-producing bacteria including <italic>Bacteroides</italic>, <italic>Bifidobacterium</italic>, <italic>Faecalibacterium</italic>, <italic>Prevotella</italic> and <italic>Akkermansia</italic>. are associated with T2DM. This is reflected by the reduced acetate (<xref ref-type="bibr" rid="B38">38</xref>), propinionate (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B98">98</xref>), butyrate (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B98">98</xref>) and other SCFA (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B51">51</xref>) concentrations in T2DM fecal samples. Functional analysis of gut microbiota showed reduced SCFA-producing pathways in T2DM compared to controls (<xref ref-type="bibr" rid="B61">61</xref>).</p>
<p>Individuals with T2DM related complications had lower SCFA fecal concentrations than those without complications (<xref ref-type="bibr" rid="B38">38</xref>). Increased dysbiosis severity and reduced production of SCFA may contribute to the development and progression of T2DM complications.</p>
<sec id="s4_4_2_1_1">
<label>4.4.2.1.1</label>
<title>Alteration to SCFA resulting in decreased gut barrier integrity</title>
<p>SCFA help to maintain gut barrier integrity through a number of mechanisms. This includes promoting epithelial growth and innate responses to microbes, providing energy to intestinal epithelial cells via beta-oxidation in the mitochondrial tricarboxylic acid cycle and maintaining an anaerobic gut environment hostile to opportunistic aerobic pathogens (<xref ref-type="bibr" rid="B122">122</xref>). SCFA also stabilize transcription factors that protect the barrier and activate genes for TJ proteins thus preventing bacterial and LPS translocation and systemic inflammation (<xref ref-type="bibr" rid="B89">89</xref>). Lower SCFA concentrations in T2DM may therefore to altered microbiota diversity and increased intestinal permeability, predisposing to insulin resistance through metabolic endotoxaemia.</p>
</sec>
<sec id="s4_4_2_1_2">
<label>4.4.2.1.2</label>
<title>Alteration to SCFA resulting in altered glucose and lipid metabolism</title>
<p>SCFA influence glucose and appetite regulation. In human <italic>in vivo</italic> studies, rectal infusions of SCFA mixtures led to a rise in plasma peptides YY (<xref ref-type="bibr" rid="B123">123</xref>&#x2013;<xref ref-type="bibr" rid="B125">125</xref>) and glucagon peptide-1 (GLP-1) (<xref ref-type="bibr" rid="B123">123</xref>). This resulted in appetite control, increased insulin sensitivity and increased pancreatic beta cell concentrations (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B126">126</xref>). SCFA also modulate glucose and lipid metabolism. Propionate suppresses hepatic gluconeogenesis, while acetate and butyrate reduce lipogenesis and increase leptin secretion (<xref ref-type="bibr" rid="B122">122</xref>). In mouse models, SCFA increase food intake via parasympathetic activity and support glucose stimulated insulin secretion (<xref ref-type="bibr" rid="B127">127</xref>). Reduced levels of SCFA may therefore lead to poor appetite control, hyperglycemia, hyperlipidemia and insulin resistance.</p>
</sec>
<sec id="s4_4_2_1_3">
<label>4.4.2.1.3</label>
<title>Alteration to SCFA results in increased inflammation</title>
<p>SCFA exhibit anti-inflammatory properties. Butyrate inhibits NF-kB activation, reducing pro-inflammatory cytokines like TNF-&#x3b1;, IL-6, IL-2, IL-8 and promotes IL-10 production via GPR109A, maintaining a balance between pro and anti-inflammatory T cells (<xref ref-type="bibr" rid="B128">128</xref>). Lower SCFA levels may contribute to chronic inflammatory state and insulin resistance in T2DM.</p>
</sec>
<sec id="s4_4_2_1_4">
<label>4.4.2.1.4</label>
<title>Alteration to SCFA negatively disrupting the gut environment</title>
<p>Butyrate producing bacteria compete with gram-negative bacteria, maintaining microflora balance and inhibit pathogenic strains. They also maintain an anaerobic environment by enhancing coloncyte oxygen consumption and stabilizing hypoxia inducible factor (<xref ref-type="bibr" rid="B122">122</xref>). Depletion of butyrate producing bacteria can lead an increase in opportunistic pathogens like <italic>Fusobacterium</italic>, which releases harmful by-products perpetuating the inflammatory cycle (<xref ref-type="bibr" rid="B129">129</xref>).</p>
</sec>
</sec>
<sec id="s4_4_2_2">
<label>4.4.2.2</label>
<title>Alteration to bile acids</title>
<p>Bile acids, known for their role in digestion of dietary fats, have recently gained attention due to their possible influence on metabolic processes, particularly in the context of T2DM. Primary bile acids (PBAs), cholic acid (CA) and chenodeoxycholic acid (CDCA) are synthesized from cholesterol in hepatocytes and released into the duodenum. They are then uncoupled by bile saline hydrolysase before being converted into more hydrophobic secondary bile acids (SBAs) through bile acid deconjugation and the rate limiting 7&#x3b1;-dehydroxylase enzyme. <italic>Bacteroides</italic> and <italic>Enterococcus</italic> are involved in the initial deconjugation, while <italic>Bifidobacterium</italic>, <italic>Lactobacillus</italic> and <italic>Enterococcus</italic> utilize bile saline hydrolase. Meanwhile, selected bacteria from the Lachnospiraceae and Ruminococcaceae family perform the subsequent 7&#x3b1;-dehydroxylase conversion of CA and CDCA to generate the SBAs deoxycholic acid (DCA) and lithocholic acid (LCA) respectively (<xref ref-type="bibr" rid="B130">130</xref>). The abundance of these bacteria are described in <xref ref-type="table" rid="T8"><bold>Table 8</bold></xref>.</p>
<table-wrap id="T8" position="float">
<label>Table&#xa0;8</label>
<caption>
<p>Abundance of secondary bile acid producing bacteria in type 2 diabetes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left">Increased</th>
<th valign="top" align="left">Decreased</th>
<th valign="top" align="left">No significant difference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Ruminococceae</td>
<td valign="top" align="left"/>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B46">46</xref>)</td>
<td valign="top" align="left">&#x2191; (<xref ref-type="bibr" rid="B11">11</xref>) &#x2193; (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B40">40</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Lachnospiraceae</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B46">46</xref>)</td>
<td valign="top" align="left">&#x2191; (<xref ref-type="bibr" rid="B19">19</xref>)<break/>&#x2193; (<xref ref-type="bibr" rid="B11">11</xref>)<break/>Equivocal (<xref ref-type="bibr" rid="B30">30</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Clostridium</italic>
</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="left">&#x2191; (<xref ref-type="bibr" rid="B55">55</xref>)<break/>&#x2193; (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B61">61</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Studies with no significant differences are reported as trends. &#x2191; - increase, &#x2193; - decrease.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Interestingly, the profiles of bile acids in patients with T2DM vary across different studies. Some studies indicate higher levels of total bile acids, PBA and SBA, among individuals with T2DM (<xref ref-type="bibr" rid="B131">131</xref>, <xref ref-type="bibr" rid="B132">132</xref>). In contrast, other studies have found no significant differences in total serum bile acid levels between T2DM patients and controls (<xref ref-type="bibr" rid="B133">133</xref>). Nonetheless, the majority of these studies do suggest a relationship between increased insulin resistance and higher total bile acids (<xref ref-type="bibr" rid="B132">132</xref>, <xref ref-type="bibr" rid="B133">133</xref>), highlighting the therapeutic potential of targeting bile acids in T2DM. Alterations in bile acids have been associated with complications of T2DM including cardiovascular disease (<xref ref-type="bibr" rid="B134">134</xref>) and diabetic kidney disease (<xref ref-type="bibr" rid="B135">135</xref>).</p>
<sec id="s4_4_2_2_1">
<label>4.4.2.2.1</label>
<title>Alteration of bile acids resulting in altered glucose metabolism</title>
<p>Bile acids regulate glucose homeostasis through the Farnesoid X receptor (FXR) and Takeda-G-protein-receptor 5 (TGR5) (<xref ref-type="bibr" rid="B136">136</xref>). PBAs preferentially activate FXR, while SBAs favor TGR5. Activation of TGR5 appears to have a beneficial effect on glucose metabolism by stimulating release of GLP-1 from enteroendocrine cells, which enhances insulin secretion, slows gastric emptying and reduces appetite (<xref ref-type="bibr" rid="B137">137</xref>). Interestingly, both deactivation and activation of FXR have been linked to positive effects on glycemic regulation. For example, intestinal FXR activation has been associated with reduced hepatic gluconeogenesis (<xref ref-type="bibr" rid="B138">138</xref>, <xref ref-type="bibr" rid="B139">139</xref>) and contribute to glucagon fasting-induced hepatic gluconeogenesis (<xref ref-type="bibr" rid="B140">140</xref>). FXR deficiency has been linked to increased GLP-1 plasma concentrations (<xref ref-type="bibr" rid="B138">138</xref>, <xref ref-type="bibr" rid="B141">141</xref>). Nonetheless, hepatic FXR deficiency in mice has been shown to increase gluconeogenesis, worsening glucose intolerance and insulin resistance (<xref ref-type="bibr" rid="B142">142</xref>). This FXR paradox highlights the complexity of FXR signaling, and suggests that the role of FXR in metabolic dysfunction may differ between the liver and intestine (<xref ref-type="bibr" rid="B143">143</xref>).</p>
<p>The systematic effects of various secondary bile acids on glycemic control have been demonstrated in both humans and animal models. For example, administration of ursodeoxycholic acid (UDCA) has been shown to improve post-prandial glucose levels and GLP-1 secretion (<xref ref-type="bibr" rid="B144">144</xref>), reduce metabolic syndrome (<xref ref-type="bibr" rid="B145">145</xref>) and increase the survival rate of pancreatic beta cells (<xref ref-type="bibr" rid="B146">146</xref>, <xref ref-type="bibr" rid="B147">147</xref>). Additionally, intrajejunal and rectal taurocholic acid led to decreased blood glucose levels and the release of satiety hormones GLP-1 and Peptide YY (<xref ref-type="bibr" rid="B148">148</xref>, <xref ref-type="bibr" rid="B149">149</xref>). Meanwhile, metformin, a drug commonly prescribed for T2DM, has been suggested to modulate primary and secondary bile acid levels and alter the expression of their receptors, thereby enhancing insulin sensitivity (<xref ref-type="bibr" rid="B150">150</xref>).</p>
<p>Specifically, among the taxa that differ significantly in individuals with T2DM, <italic>Lactobacillus</italic> and <italic>Bifidobacterium</italic> have been suggested to play a role in modulating bile acids and improving glycemic control. In a recent randomized control trial, a probiotic product containing <italic>Lactobacillus casei</italic>, <italic>Lactobacillus plantarum</italic>, <italic>Lactobacillus rhamnosus</italic>, <italic>Bifidobacterium animalis subsp. lactis M8</italic> and <italic>Bifidobacterium animalis subsp. lactis V9.</italic> led to reductions in HbA1c and fasting blood glucose levels, along with increased insulin secretion. Faecal metabolite analysis demonstrated an increase in both CDCA and hyodeoxycholic, a component of hyoholic acid shown to upregulate GLP-1 secretion via TGR5 (<xref ref-type="bibr" rid="B139">139</xref>). The study suggested that specific bile acids may activate various receptors, which in turn promotes GLP-1 secretion, thereby reducing blood glucose levels (<xref ref-type="bibr" rid="B151">151</xref>). Collectively, these findings highlight the potential therapeutic value of bile acids in T2DM.</p>
</sec>
<sec id="s4_4_2_2_2">
<label>4.4.2.2.2</label>
<title>Alteration to bile acids affecting gut barrier integrity</title>
<p>Alterations in bile acid profiles affect intestinal permeability through regulation of TJ proteins. In murine models, DCA reduces TJ protein Zona-Occludens-1, thereby increasing gut permeability (<xref ref-type="bibr" rid="B152">152</xref>). Primary biliary acids CDCA and CA, and secondary biliary acids DCA, increase epithelial permeability through phosphorylation of occludin in intestinal Caco cells (<xref ref-type="bibr" rid="B153">153</xref>). At high concentrations DCA is cytotoxic to intestinal stem cells and goblet cells, thereby impairing gut permeability (<xref ref-type="bibr" rid="B154">154</xref>). Conversely, LCA reduces intestinal permeability by ameliorating TNF-&#x3b1; induced disruption of TJ proteins (<xref ref-type="bibr" rid="B155">155</xref>). In murine models, an increase in LCA and DCA was associated with increased colon expression of TGR5 and TJ proteins, thereby improving gut-barrier integrity (<xref ref-type="bibr" rid="B156">156</xref>). Human studies demonstrate that elevated levels of LCA and DCA have anti-inflammatory properties within the colon (<xref ref-type="bibr" rid="B157">157</xref>). Bile acids have both beneficial and detrimental effects on intestinal permeability, and further studies are required to understand their specific impacts.</p>
</sec>
<sec id="s4_4_2_2_3">
<label>4.4.2.2.3</label>
<title>Alteration in bile acids resulting in systemic inflammation</title>
<p>Bile acids have been shown to inhibit the induction of pro-inflammatory genes and the production of inflammatory cytokines by macrophages via FXR and TGFR-5 receptors (<xref ref-type="bibr" rid="B158">158</xref>). In mice models, the production of secondary bile acids, such as LCA and UDCA, ameliorated colitis and reduced the production of proinflammatory cytokines TNF- &#x3b1;, IL-17A and IL-6 (<xref ref-type="bibr" rid="B156">156</xref>). Alteration in bile acids can thus lead to decreased anti-inflammatory effects and contribute as well as exacerbate the chronic low-grade inflammatory state in T2DM.</p>
<p>In summary, bile acids play a role in modulating intestinal permeability, systemic inflammation, and glucose homeostasis, thereby contributing to the pathogenesis of T2DM. While bile acids represent a promising therapeutic target, the precise abundance of various bile acids in T2DM and their effects on different receptors, particularly FXR, remain unclear. Further studies are needed to confirm these alterations and clarify the specific interactions involved.</p>
</sec>
</sec>
<sec id="s4_4_2_3">
<label>4.4.2.3</label>
<title>Increased systemic inflammation</title>
<p>T2DM is associated with chronic low-grade systemic inflammation caused by metabolic endotoxaemia and cytokine stimulation by microbes leading to oxidative stress, macrophage activity and insulin resistance. Insulin resistance occurs due to activation of the inflammatory cascade, subsequent activation of serine kinases, insulin receptor substrate serine phosphorylation and consequent insulin signaling inhibition causing cellular insulin resistance (<xref ref-type="bibr" rid="B159">159</xref>).</p>
<sec id="s4_4_2_3_1">
<label>4.4.2.3.1</label>
<title>Metabolic endotoxaemia</title>
<p>In T2DM, metabolic endoxaemia occurs due to increased production of toxic bacterial components and increased gut permeability enabling translocation of these products into the systemic circulation.</p>
<sec id="s4_4_2_3_1_1">
<label>4.4.2.3.1.1</label>
<title>
<italic>Lipopolysaccharide</italic>
</title>
<p>Gram-negative bacteria, such as <italic>Fusobacterium</italic> and <italic>Escherichia-Shigella</italic>, produce LPS an endotoxin that activates immune responses by binding to pattern recognition receptors such as toll-like receptor 4 (TLR4), NLRP3 inflammasome and NOD-like receptors which are expressed on the surfaces of antigen presenting cells. This leads to release of pro-inflammatory cytokines IL-1, IL-7, TNF-&#x3b1; release (<xref ref-type="bibr" rid="B121">121</xref>) and insulin resistance via inhibition of insulin signaling (<xref ref-type="bibr" rid="B159">159</xref>). Gut dysbiosis in T2DM increases LPS synthesis (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B57">57</xref>) with higher plasma levels of LPS (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B51">51</xref>) and TLR4 receptor activation (<xref ref-type="bibr" rid="B15">15</xref>) observed.</p>
</sec>
<sec id="s4_4_2_3_1_2">
<label>4.4.2.3.1.2</label>
<title>
<italic>Decreased intestinal alkaline phosphatase due to gut dysbiosis contributes to metabolic endotoxaemia in T2DM</italic>
</title>
<p>IAP is an enzyme which mitigates intestinal inflammation through detoxification of pathogen toxins and regulation of gut microbes (<xref ref-type="bibr" rid="B160">160</xref>). It de-phosphorylates LPS, reducing its toxicity and lowering systemic inflammation (<xref ref-type="bibr" rid="B161">161</xref>). In mice, IAP was shown to reverse metabolic endotoxaemia (<xref ref-type="bibr" rid="B162">162</xref>). Very low levels of fecal IAP have been reported in T2DM patients (<xref ref-type="bibr" rid="B163">163</xref>). <italic>Bifidobacterium</italic> species, <italic>Faecalibacterium prausnitzii, Roseburia</italic> species and other butyrate producing bacteria modulate IAP activity (<xref ref-type="bibr" rid="B164">164</xref>). A decrease in these anti-inflammatory, butyrate producing bacteria may contribute to chronic systemic inflammation in T2DM.</p>
</sec>
</sec>
<sec id="s4_4_2_3_2">
<label>4.4.2.3.2</label>
<title>Cytokine modulation</title>
<p>T2DM is associated with elevated pro-inflammatory cytokines. Bacterial taxa such as <italic>Escherichia-Shigella</italic> and <italic>Fusobacterium</italic> are increased in T2DM and correlate with higher levels of pro-inflammatory cytokines like IL-17, TNF-&#x3b1; and IL-6 (<xref ref-type="bibr" rid="B165">165</xref>).</p>
<p>Conversely, beneficial microbes <italic>Roseburia intestinalis</italic> (<xref ref-type="bibr" rid="B166">166</xref>), <italic>Prevotella histicola(</italic>
<xref ref-type="bibr" rid="B97">97</xref>
<italic>)</italic>, <italic>Faecalibacterium prausnitzii (</italic>
<xref ref-type="bibr" rid="B167">167</xref>
<italic>), Bifidobacterium longum (</italic>
<xref ref-type="bibr" rid="B167">167</xref>
<italic>), Bacteroides fragilis</italic> (<xref ref-type="bibr" rid="B87">87</xref>, <xref ref-type="bibr" rid="B168">168</xref>)<italic>, Akkermansia muciniphila(</italic>
<xref ref-type="bibr" rid="B169">169</xref>
<italic>)</italic>, <italic>Lactobacillus paracasei</italic> (<xref ref-type="bibr" rid="B63">63</xref>) and <italic>Lactobacillus fermentum</italic> (<xref ref-type="bibr" rid="B64">64</xref>) promote anti-inflammatory cytokine IL-10 production and suppress pro-inflammatory cytokines (<xref ref-type="bibr" rid="B87">87</xref>, <xref ref-type="bibr" rid="B92">92</xref>, <xref ref-type="bibr" rid="B166">166</xref>, <xref ref-type="bibr" rid="B167">167</xref>, <xref ref-type="bibr" rid="B170">170</xref>, <xref ref-type="bibr" rid="B171">171</xref>). Butyrate producing bacteria such as <italic>Roseburia</italic>, <italic>Faecalibacterium</italic> and <italic>Subdoligranulum</italic> also decreases pro-inflammatory cytokine production by inhibiting NF-kB, a major transcription factor essential for inflammatory responses (<xref ref-type="bibr" rid="B128">128</xref>).</p>
</sec>
</sec>
<sec id="s4_4_2_4">
<label>4.4.2.4</label>
<title>Preferential growth of pathogenic microbiota</title>
<p>Pathogenic bacteria including <italic>Enterococcus</italic> and <italic>Escherichia-Shigella</italic> may outcompete beneficial bacteria, such as <italic>Faecalibacterium</italic>, <italic>Roseburia</italic> and <italic>Bifidobacterium</italic>, perpetuating negative effects on gut health and inflammation.</p>
</sec>
</sec>
</sec>
</sec>
<sec id="s5">
<label>5</label>
<title>Limitations</title>
<p>This systematic review has several limitations. The significant variation in methodology across various human observational studies made it difficult to draw definitive conclusions. Differences in inclusion and exclusion criteria, and varied methods for controlling factors such as age, BMI, diet and medication, affected bacterial abundances and hindered efforts for consistent comparisons. Furthermore, few studies provided raw data on bacterial abundances or reported non-significant bacterial abundances, complicating quantitative data pooling for any specific bacteria.</p>
<p>Most studies did not account for the effects of metformin and other oral anti-hyperglycemic agents, which are known to alter certain bacterial abundances. This review could not control for their use, highlighting the need for future large-scale studies to at least account for, if not control, the effects of these diabetes medications.</p>
<p>Majority of the studies utilized 16s RNA gene sequencing, with few studies utilizing metagenomic sequencing. This meant that it was rare to identify microbes at species or strain levels and may account for some discrepancies at the genus level. Moreover, few studies examined functional alterations in T2DM and correlated it to individual bacterial taxa. Therefore, only associations but not causations between taxa and T2DM could be determined. Future research should assess the functional potential of the gut microbiome in individuals with T2DM.</p>
<p>Finally, the pathogenesis, perpetuation and management of T2DM is multifactorial and various clinical factors including genetics, other comorbidities, adherence to therapies and presence of complications all play a critical role. Future studies should measure these factors, and consider their interplay with gut microbiota in T2DM.</p>
</sec>
<sec id="s6" sec-type="conclusions">
<label>6</label>
<title>Conclusion</title>
<p>This systematic review demonstrates that T2DM is strongly associated with gut dysbiosis, as evidenced by differential microbial abundances, altered F/B ratio and changed diversity indices. Through increased gut permeability, decreased SCFA production and modulation of inflammatory cytokines, gut dysbiosis leads to increased systemic inflammation and disrupted glucose homeostasis.</p>
<p>Among these microbes, <italic>Escherichia-Shigella</italic> is consistently associated with T2DM, while <italic>Faecalibacterium</italic>, in particular <italic>Faecalibacterium prausnitzii</italic> appears to offer a protective effect against T2DM. However, the heterogenicity and observational nature of these studies hinder establishment of causative relationships. Future research should control for factors such as age, diet and medication use, and incorporate functional analysis of these gut microbes.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material.</bold>
</xref> Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>SC: Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. ML: Methodology, Writing &#x2013; review &amp; editing. DC: Methodology, Writing &#x2013; review &amp; editing. SJ: Conceptualization, Formal analysis, Project administration, Supervision, Writing &#x2013; review &amp; editing. NL: Conceptualization, Formal analysis, Investigation, Methodology, Supervision, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We would like to acknowledge A/Prof Matthew Malone who was involved in the initial process of the systematic review.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The 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>
<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/fendo.2024.1486793/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fendo.2024.1486793/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="Table2.docx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table3.docx" id="SM3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
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