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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychiatry</journal-id>
<journal-title>Frontiers in Psychiatry</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychiatry</abbrev-journal-title>
<issn pub-type="epub">1664-0640</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyt.2024.1361145</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychiatry</subject>
<subj-group>
<subject>Mini Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Exploring gender differences in the relationship between gut microbiome and depression - a scoping review</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Niemela</surname>
<given-names>Leila</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2647128"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<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/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lamoury</surname>
<given-names>Gillian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Carroll</surname>
<given-names>Susan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Morgia</surname>
<given-names>Marita</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yeung</surname>
<given-names>Albert</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1587497"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Oh</surname>
<given-names>Byeongsang</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>
<uri xlink:href="https://loop.frontiersin.org/people/429404"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Sydney Medical School, University of Sydney</institution>, <addr-line>Sydney, NSW</addr-line>, <country>Australia</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Northern Sydney Cancer Centre, Royal North Shore Hospital</institution>, <addr-line>Sydney, NSW</addr-line>, <country>Australia</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Massachusetts General Hospital, Harvard Medical School</institution>, <addr-line>Boston, MA</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Karen Tabb, University of Illinois at Urbana-Champaign, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Claudia Civai, London South Bank University, United Kingdom</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Byeongsang Oh, <email xlink:href="mailto:byeong.oh@sydney.edu.au">byeong.oh@sydney.edu.au</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>02</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1361145</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>12</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>02</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Niemela, Lamoury, Carroll, Morgia, Yeung and Oh</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Niemela, Lamoury, Carroll, Morgia, Yeung and Oh</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Major depressive disorder (MDD) exhibits gender disparities, and emerging evidence suggests the involvement of the gut microbiome, necessitating exploration of sex-specific differences.</p>
</sec>
<sec>
<title>Methods</title>
<p>A review was conducted, encompassing a thorough examination of relevant studies available in Medline via Ovid, Embase via OvidSP, CINAHL, and PsycINFO databases from their inception to June 2023. The search strategy employed specific keywords and Medical Subject Headings (MeSH) terms tailored to major depressive disorder in women, encompassing unipolar depression, depressive symptoms, and dysbiosis.</p>
</sec>
<sec>
<title>Results</title>
<p>Five studies were included. Among the four studies, alterations in alpha (n=1) and beta diversity (n=3) in the gut microbiome of individuals with MDD were revealed compared to controls. Gender-specific differences were observed in four studies, demonstrating the abundance of specific bacterial taxa and highlighting potential sex-specific implications in MDD pathophysiology. Correlation analyses (n=4) indicated associations between certain bacterial taxa and the severity of depressive symptoms, with varying patterns between males and females. Studies (n=3) also highlighted promising findings regarding the potential utility of microbial markers in diagnosing MDD, emphasizing the crucial role of sex stratification in understanding the disease pathophysiology.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>The findings underscore the importance of recognizing gender-specific differences in the composition of the gut microbiome and its relationship with MDD. Further comprehensive robust studies are required to unravel the intricate mechanisms underlying these disparities.</p>
</sec>
</abstract>
<kwd-group>
<kwd>gut microbiome</kwd>
<kwd>depression</kwd>
<kwd>gender</kwd>
<kwd>biomarker</kwd>
<kwd>gut dysbiosis</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="37"/>
<page-count count="11"/>
<word-count count="4328"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Mood Disorders</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Major Depression, also known as major depressive disorder (MDD), is a prevalent mental and emotional ailment affecting an estimated 185 million people globally (<xref ref-type="bibr" rid="B1">1</xref>). The World Health Organization classified depression as the fourth-leading burden of disease globally in 2008, with projections indicating it could become the second-leading cause by 2030 (<xref ref-type="bibr" rid="B2">2</xref>). Women are disproportionately affected, experiencing nearly double the prevalence compared to men (<xref ref-type="bibr" rid="B1">1</xref>), a trend observed across both developed and developing countries (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>Various theories such as the biopsychosocial model, have attempted to elucidate the underlying reasons for this gender disparity, pointing to differences in hormones (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>), neurotransmitters (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>), and brain structure (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). Recent research has also explored the intricate relationship between the gut microbiome and depression, uncovering potential links through the gut-brain axis (<xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>). While significant advancements have been made, there remains a dearth of evidence to precisely elucidate the mechanisms driving these disparities or the potential for sex-specific biomarkers.</p>
<p>The concept of &#x2018;gut dysbiosis&#x2019; - an abnormal alteration in the composition and function of the gut microbiome - has gained traction as a potential player in the pathogenesis of MDD and other psychiatric disorders (<xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>). The intricate communication between the gut microbiome and the brain through various pathways, including neural, immune, and metabolic mechanisms, presents a promising avenue for further exploration. Recent studies have highlighted differences in the gut microbiota composition between individuals with MDD and control groups, pointing to potential sex-specific differences that warrant further investigation (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B35">35</xref>).</p>
<p>This scoping review aims to explore the existing evidence on the relationship between major depression and the gut microbiome, particularly in the context of women, while also summarizing the sex-specific differences in the gut microbiome profiles of male and female subjects with major depression.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<p>A comprehensive literature search was conducted from database inception to June 2023 in Medline via Ovid (1946-present), Embase via OvidSP (1947-present), Cinahl Complete, and PsycINFO via Ovid (1806-present). The search used specific keywords and MeSH terms related to major depression in women, including unipolar depression, depressive symptoms, and dysbiosis.</p>
<p>Inclusion criteria encompassed studies with adult human participants of both sexes, focusing on female-specific outcomes. Studies investigating the relationship between major depression and gastrointestinal microbiota in adult humans were included, while those exclusively concerning other psychiatric disorders (e.g., schizophrenia, chronic stress, PTSD, bipolar disorder), subtypes of depression (e.g., postpartum, late-life depression), or other medical conditions were excluded. Additionally, studies involving females under 18 years old were not considered.</p>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>From the initial database search, 784 studies were identified, and after removing 109 duplicates, 675 studies underwent phase one screening. Following this, 76 studies were subjected to full-text retrieval, resulting in 75 fully assessed articles. Ultimately, five articles were included in the literature review (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> for the PRISMA flow chart).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flow chart.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-15-1361145-g001.tif"/>
</fig>
<sec id="s3_1">
<title>Characteristics of studies</title>
<p>The review included a total of (n=780) subjects from case-controlled studies in China and (n=1104) subjects from a retrospective cohort study in Germany. Among the case-control studies, (n=239) female and (n=125) male subjects with MDD were compared to (n=261) female and (n=155) male healthy controls. Notably, one study by Li et&#xa0;al. (<xref ref-type="bibr" rid="B33">33</xref>) involved subjects with Bipolar disorder (BD) (n=166) experiencing a depressive episode, whose data were excluded from this review&#x2019;s analysis (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1.1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1.1</label>
<caption>
<p>Characteristics of studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left"/>
<th valign="top" colspan="5" align="left">Participant details</th>
<th valign="top" rowspan="2" align="left">Recruitment location</th>
<th valign="top" rowspan="2" align="left">Assessment tool</th>
<th valign="top" rowspan="2" align="left">Sample analysis</th>
</tr>
<tr>
<th valign="top" align="center">Female&#xa0;(n)</th>
<th valign="top" align="center">Male&#xa0;(n)</th>
<th valign="top" align="center">Average age</th>
<th valign="top" align="center">Subjects with MDD or DS</th>
<th valign="top" align="center">Medication status</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Chen et&#xa0;al<break/>2018, China<break/>Case Control Study (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="left">MDD (n=24)<break/>HC (n=24)</td>
<td valign="top" align="left">MDD (n=20)<break/>HC (n=20)</td>
<td valign="top" align="left">MDD (F, M)<break/>42 yrs, 40 yrs<break/>HC (F, M)<break/>44 yrs, 43 yrs</td>
<td valign="top" align="left">MDD patients undergoing first episode MDD</td>
<td valign="top" align="left">Drug naive</td>
<td valign="top" align="left">MDD in hospital<break/>HC in community</td>
<td valign="top" align="left">HDRS-17</td>
<td valign="top" align="left">16S rRNA</td>
</tr>
<tr>
<td valign="top" align="left">Li et&#xa0;al<break/>2022, China<break/>Case Control Study (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="left">MDD (n=77)<break/>HC (n=100)<break/>BD (n=83)</td>
<td valign="top" align="left">MDD (n=43)<break/>HC (n=71)<break/>BD (n=82)</td>
<td valign="top" align="left">MDD (F, M)<break/>26 yrs, 26 yrs<break/>HC (F, M)<break/>27 yrs, 26 yrs</td>
<td valign="top" align="left">MDD patients undergoing depressive episode</td>
<td valign="top" align="left">Unmedicated</td>
<td valign="top" align="left">MDD in hospital<break/>HC in community</td>
<td valign="top" align="left">DSM-IV<break/>HAMD</td>
<td valign="top" align="left">16S rRNA</td>
</tr>
<tr>
<td valign="top" align="left">Chen et&#xa0;al<break/>2021, China<break/>Case Control Study (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="left">MDD (n=62)<break/>HC (n=46)</td>
<td valign="top" align="left">Nil</td>
<td valign="top" align="left">MDD (F): 40 yrs<break/>HC (F): 37 yrs</td>
<td valign="top" align="left">MDD patients with<break/>HAMD-17 score &#x2265; 18</td>
<td valign="top" align="left">Medicated (n= 26)<break/>Unmedicated (n= 36)</td>
<td valign="top" align="left">MDD in hospital</td>
<td valign="top" align="left">DSM-IV<break/>HAMD-17</td>
<td valign="top" align="left">16S rRNA and<break/>shotgun metagenomic sequencing</td>
</tr>
<tr>
<td valign="top" align="left">Hu et&#xa0;al<break/>2023, China<break/>Cross sectional study (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="left">MDD (n=76) HC (n=91)</td>
<td valign="top" align="left">MDD (n=62)<break/>HC (n=64)</td>
<td valign="top" align="left">MDD: 29 yrs<break/>HC: 29 yrs</td>
<td valign="top" align="left">MDD patients</td>
<td valign="top" align="left">Unmedicated</td>
<td valign="top" align="left">MDD in hospital<break/>HC in community</td>
<td valign="top" align="left">DSM-IV<break/>HAMD-17</td>
<td valign="top" align="left">Shotgun<break/>metagenome sequencing</td>
</tr>
<tr>
<td valign="top" align="left">Chung et&#xa0;al<break/>2022, Germany<break/>Retrospective Cohort Study (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="left">DS (n=339)<break/>HC (n=339)</td>
<td valign="top" align="left">DS (n=213)<break/>HC (n=213)</td>
<td valign="top" align="left">DS:50 yrs<break/>HC:50 yrs</td>
<td valign="top" align="left">Adults in community with clinical diagnosis of dysbiosis</td>
<td valign="top" align="left">Unmedicated</td>
<td valign="top" align="left">DS in community<break/>HC in community</td>
<td valign="top" align="left">ICD-10</td>
<td valign="top" align="left">Clinical record of dysbiosis</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MDD, Major depressive disorder; HC, Healthy Control; BD, Bipolar Disorder; DS, Dysbiosis; F, Female; M, Male; DSM, Diagnostic and Statistical Manual of Mental Disorders (-Text revision); HAMD or HDRS, Hamilton Depression Rating Scale (-Text revision); NR, Not reported; 26 patients had used antidepressants for less than 3 consecutive days in 2 weeks prior to faecal collection.<sup>2</sup> Adults (&#x2265;18 yrs) &#x2265; 1 visit to general practitioner; and &#x2265;1 diagnosis of dysbiosis &#x2265; 3 months after initial diagnosis.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Gender-specific microbiome diversity alterations in subjects with major depression</title>
<p>Alpha diversity remained unchanged in MDD subjects across three studies (<xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>), while one study (<xref ref-type="bibr" rid="B35">35</xref>) reported a reduction. Beta diversity analysis revealed significant differences in both male and female MDD groups compared to matched healthy controls (HCs) in studies by Chen and Li (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). In the female-only study by Chen et&#xa0;al. (<xref ref-type="bibr" rid="B34">34</xref>), alterations in beta diversity were observed only at the species level in female MDD subjects. Notably, Li et&#xa0;al. (<xref ref-type="bibr" rid="B33">33</xref>) found that while alpha diversity was significantly higher in female healthy controls compared to male healthy controls, this difference was not evident in the context of depression. <xref ref-type="table" rid="T2">
<bold>Table&#xa0;1.2</bold>
</xref> provides an overview of the key findings.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;1.2</label>
<caption>
<p>Gender-Specific Microbiome Profile Alterations in Subjects with Major Depression.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="3" align="left">Diversity</th>
<th valign="top" colspan="4" align="center">Alpha Diversity</th>
<th valign="top" colspan="2" align="center">Beta Diversity</th>
</tr>
<tr>
<th valign="top" align="center">MDD vs HC</th>
<th valign="top" colspan="2" align="center">MDD vs HC</th>
<th valign="top" align="center">MDD</th>
<th valign="top" colspan="2" align="center">MDD vs HC</th>
</tr>
<tr>
<th valign="top" align="center">Female</th>
<th valign="top" colspan="2" align="center">Male</th>
<th valign="top" align="center">Female vs Male</th>
<th valign="top" align="center">Female</th>
<th valign="top" align="center">Male</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Chen et&#xa0;al., 2018 (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="center">NS</td>
<td valign="top" colspan="2" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">*</td>
</tr>
<tr>
<td valign="top" align="left">Li et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="center">NS</td>
<td valign="top" colspan="2" align="center">NS</td>
<td valign="top" align="center">
<bold>---</bold>
</td>
<td valign="top" align="center">*</td>
<td valign="top" align="center">*</td>
</tr>
<tr>
<td valign="top" align="left">Chen et&#xa0;al 2021 (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="center">NS</td>
<td valign="top" colspan="2" align="center">NS</td>
<td valign="top" align="center">N/A</td>
<td valign="top" align="center">NS (16SrRNA)<break/>*(SMG)</td>
<td valign="top" align="center">N/A</td>
</tr>
<tr>
<td valign="top" align="left">Hu et&#xa0;al., 2023 (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="center">*&#x2193;</td>
<td valign="top" colspan="2" align="center">*&#x2193;</td>
<td valign="top" align="center">
<bold>---</bold>
</td>
<td valign="top" align="center">
<bold>---</bold>
</td>
<td valign="top" align="center">
<bold>---</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MDD, Major Depressive Disorder; HC, Healthy Controls; NS, No significant difference; *Significant difference; <bold>---</bold>, not reported; *&#x2193;Significantly decreased; N/A, not applicable; 16s, 16S rRNA gene sequencing; SMG, shotgun metagenomic sequencing.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Gender-specific microbiome profile alterations in subjects with major depression</title>
<p>All case-control studies (<xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>), highlighted notable differences in gut microbiota between individuals with major depressive disorder (MDD) and the respective control groups. These distinctions were particularly pronounced when comparing male and female cohorts. Further details can be found in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;1.3</bold>
</xref>. Upon examining studies encompassing both male and female subjects, females with MDD exhibited a higher relative abundance of <italic>Actinobacteria, Firmicutes, and Bacteroidetes</italic> compared to the control group (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). In male MDD patients, an increase and decrease in <italic>Bacteroidetes</italic> clusters, along with an increase in <italic>Firmicutes</italic> clusters, was observed. In the study conducted by Chen et&#xa0;al. (<xref ref-type="bibr" rid="B34">34</xref>) focusing on female MDD patients, an increase in Bacteroidetes, Proteobacteria, Fusobacteria, and <italic>Verruomicrobia</italic>, and a decrease <italic>in Firmicutes and Actinobacteria</italic> was reported. Notably, only two studies (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>) investigated the microbiome at the species level, revealing significant changes at the family, genus, and species levels.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;1.3</label>
<caption>
<p>Gender-Specific Microbiome Profile Alterations in Subjects with MDD compared to healthy controls.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center"/>
<th valign="top" colspan="2" align="center">Phylum</th>
<th valign="top" colspan="2" align="center">Family</th>
<th valign="top" colspan="2" align="center">Genus</th>
<th valign="top" colspan="2" align="center">Species</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left">Female</th>
<th valign="top" align="left">Male</th>
<th valign="top" align="left">Female</th>
<th valign="top" align="left">Male</th>
<th valign="top" align="left">Female</th>
<th valign="top" align="left">Male</th>
<th valign="top" align="left">Female</th>
<th valign="top" align="left">Male</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Chen et&#xa0;al., 2018 (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="left">Actinobacteria <bold>&#x2191;</bold>
<break/>Actinobacteria <bold>&#x2191;</bold>
</td>
<td valign="top" align="left">Bacteroidetes <bold>&#x2193;</bold>
<break/>Bacteroidetes <bold>&#x2191;</bold>
</td>
<td valign="top" align="left">Coriobacteriaceae &#x2191;<break/>Lachnospiraceae &#x2191;<break/>Ruminococcaceae &#x2191;<break/>Lachnospiraceae &#x2193;<break/>Ruminococcaceae &#x2193;</td>
<td valign="top" align="left">Erysipelotrichaceae &#x2191;<break/>Lachnospiraceae &#x2191;<break/>Lachnospiraceae &#x2193;<break/>Ruminococcaceae &#x2193;</td>
<td valign="top" align="left">
<italic>Actinomyces</italic> &#x2191;<break/>
<italic>Bifidobacterium</italic> &#x2191;<break/>
<italic>Asaccharobacter</italic> &#x2191;<break/>
<italic>Atopobium</italic> &#x2191;<break/>
<italic>Eggerthella</italic> &#x2191;<break/>
<italic>Gordonibacter</italic> &#x2191;<break/>
<italic>Olsenella</italic> &#x2191;<break/>
<italic>Eubacterium</italic> &#x2191;<break/>
<italic>Anaerostipes</italic> &#x2191;<break/>
<italic>Blautia</italic> &#x2191;<break/>
<italic>Roseburia</italic> &#x2191;<break/>
<italic>Faecali-bacterium</italic> &#x2191;<break/>
<italic>Desulfovibrio</italic> &#x2191;<break/>
<italic>Howardella</italic> &#x2193;<break/>
<italic>Sutterella</italic> &#x2193;<break/>
<italic>Pyramidobacter</italic> &#x2193;</td>
<td valign="top" align="left">Bacteroides &#x2191;<break/>Erysipelotrichaceae incertae sedis &#x2191;<break/>Veillonella &#x2191;<break/>Atopobium &#x2191;<break/>
<italic>Anaerovorax</italic> &#x2193;<break/>
<italic>Gordonibacter</italic> &#x2193;<break/>
<italic>Pyramidobacter</italic> &#x2193;</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Li et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="left">Firmicutes <bold>&#x2191;</bold>
<break/>Bacteroidetes <bold>&#x2191;</bold>
</td>
<td valign="top" align="left">Firmicutes <bold>&#x2191;</bold>
</td>
<td valign="top" align="left">Lachnospiraceae <bold>&#x2191;</bold>
<break/>Bacteroidaceae <bold>&#x2191;</bold>
<break/>Bacteroidaceae <bold>&#x2191;</bold>
<break/>Bacteroidaceae <bold>&#x2191;</bold>
<break/>Bacteroidaceae <bold>&#x2191;</bold>
</td>
<td valign="top" align="left">Lachnospiraceae <bold>&#x2191;</bold>
</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Chen et&#xa0;al 2021 (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="left">16s:<break/>Bacteroidetes <bold>&#x2191;</bold>
<break/>Proteobaceteria <bold>&#x2191;</bold> <break/>Fusobacteria <bold>&#x2191;</bold>
<break/>Firmicutes <bold>&#x2193;</bold> <break/>Actinobacteria <bold>&#x2193;</bold>
<break/>SMG:<break/>Bacteroidetes <bold>&#x2191;</bold>
<break/>Verrucomicrobia <bold>&#x2191;</bold> <break/>Fusobacteria <bold>&#x2191;</bold>
<break/>Firmicutes <bold>&#x2193;</bold>
</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">
<italic>Enterobacteriaceae</italic> <bold>&#x2191;</bold>
<break/>
<italic>Tannerellaceae</italic> <bold>&#x2191;</bold>
<break/>
<italic>Burkholderiaceae</italic> <bold>&#x2191;</bold>
<break/>
<italic>Campylobacteraceae</italic> <bold>&#x2191;</bold>
<break/>
<italic>Corynebacteriaceae</italic> <bold>&#x2191;</bold>
<break/>
<italic>Clostridia_unclassified</italic> <bold>&#x2191;</bold>
<break/>
<italic>Ruminococcaceae</italic> <bold>&#x2193;</bold>
<break/>
<italic>Lachnospiraceae</italic> <bold>&#x2193;</bold> <italic>Coriobacteriales_unclassified</italic> <bold>&#x2193;</bold>
</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="left">Escherichia-Shigella <bold>&#x2191;</bold>
<break/>Prevotellaceae_NK3B31_group <bold>&#x2191;</bold>
<break/>Hungatella <bold>&#x2191;</bold>
<break/>Campylobacter <bold>&#x2191;</bold>
<break/>Raoultella <bold>&#x2191;</bold>
<break/>Barnesiella <bold>&#x2191;</bold>
<break/>Coprobacillus <bold>&#x2191;</bold>
<break/>Clostridium_innocuum_group <bold>&#x2191;</bold>
<break/>Alistipes <bold>&#x2191;</bold>
<break/>Enterobacteriaceae_unclassified <bold>&#x2191;</bold>
<break/>Lachnoclostridium <bold>&#x2191;</bold>
<break/>Prevotellaceae_unclassified <bold>&#x2191;</bold>
<break/>Flavonifractor <bold>&#x2191;</bold>
<break/>Eisenbergiella <bold>&#x2191;</bold>
<break/>Anaerotruncus <bold>&#x2191;</bold>
<break/>Anaeroglobus <bold>&#x2191;</bold>
<break/>Mobiluncus <bold>&#x2191;</bold>
<break/>Rodentibacter <bold>&#x2191;</bold>
<break/>Fastidiosipila <bold>&#x2191;</bold>
<break/>Finegoldia <bold>&#x2191;</bold>
<break/>Aerococcus <bold>&#x2191;</bold>
<break/>Ruminococcaceae_uncultured <bold>&#x2191;</bold>
<break/>Turicibacter <bold>&#x2191;</bold>
<break/>S5-A14a <bold>&#x2191;</bold>
<break/>Parabacteroides <bold>&#x2191;</bold>
<break/>GCA-900066755 <bold>&#x2191;</bold>
<break/>Clostridia_unclassified <bold>&#x2191;</bold>
<break/>Morganella <bold>&#x2191;</bold>
<break/>Agathobacter <bold>&#x2193;</bold>
<break/>Butyricicoccus <bold>&#x2193;</bold>
<break/>Faecalibacterium <bold>&#x2193;</bold>
<break/>Dorea <bold>&#x2193;</bold>
<break/>Coprococcus_3 <bold>&#x2193;</bold>
<break/>Ruminococcaceae_UCG-013 <bold>&#x2193;</bold>
<break/>Eubacterium_ventriosum_group <bold>&#x2193;</bold>
<break/>Lachnospiraceae_FCS020_group <bold>&#x2193;</bold>
<break/>Eubacterium_hallii_group <bold>&#x2193;</bold>
<break/>Blautia <bold>&#x2193;</bold>
<break/>Anaerostipes <bold>&#x2193;</bold>
<break/>Lachnospiraceae_NK4A136_group <bold>&#x2193;</bold>
<break/>Lachnospiraceae_UCG-001 <bold>&#x2193;</bold>
<break/>Erysipelotrichaceae_UCG-003 <bold>&#x2193;</bold>
<break/>Coprococcus_1 <bold>&#x2193;</bold>
<break/>Subdoligranulum <bold>&#x2193;</bold>
<break/>Tyzzerella_3 <bold>&#x2193;</bold>
<break/>CAG-56 <bold>&#x2193;</bold>
<break/>Lachnospiraceae_ND3007_group <bold>&#x2193;</bold>
<break/>Coriobacteriales_unclassified <bold>&#x2193;</bold>
<break/>Moraxellaceae_unclassified <bold>&#x2193;</bold>
<break/>Ruminococcus_1 <bold>&#x2193;</bold>
<break/>Roseburia <bold>&#x2193;</bold>
<break/>Ruminiclostridium <bold>&#x2193;</bold>
<break/>Ruminococcus_2 <bold>&#x2193;</bold>
<break/>Alcaligenes <bold>&#x2193;</bold>
<break/>Fusicatenibacter <bold>&#x2193;</bold>
<break/>Lachnospiraceae_UCG-006 <bold>&#x2193;</bold>
<break/>Burkholderia-Caballeronia-Paraburkholderia <bold>&#x2193;</bold>
<break/>Candidatus_Saccharimonas <bold>&#x2193;</bold>
<break/>F0332 <bold>&#x2193;</bold>
<break/>Bifidobacterium <bold>&#x2193;</bold>
<break/>
<italic>SMG:</italic>
<break/>Granulicella <bold>&#x2191;</bold>
<break/>Adlercreutzia <bold>&#x2191;</bold>
<break/>Barnesiella <bold>&#x2191;</bold>
<break/>Parabacteroides <bold>&#x2191;</bold>
<break/>Paraprevotella <bold>&#x2191;</bold>
<break/>Alistipes <bold>&#x2191;</bold>
<break/>Clostridiales_noname <bold>&#x2191;</bold>
<break/>Flavonifractor <bold>&#x2191;</bold>
<break/>Oscillibacter <bold>&#x2191;</bold>
<break/>Anaerotruncus <bold>&#x2191;</bold>
<break/>Ruminococcaceae_noname <bold>&#x2191;</bold>
<break/>Bilophila <bold>&#x2191;</bold>
<break/>Campylobacter <bold>&#x2191;</bold>
<break/>Akkermansia <bold>&#x2191;</bold>
<break/>Gammaretrovirus <bold>&#x2191;</bold>
<break/>Lactobacillus <bold>&#x2193;</bold>
<break/>Eubacterium <bold>&#x2193;</bold>
<break/>Dorea <bold>&#x2193;</bold>
<break/>Roseburia <bold>&#x2193;</bold>
<break/>Faecalibacterium <bold>&#x2193;</bold>
<break/>Megamonas <bold>&#x2193;</bold>
<break/>Megasphaera <bold>&#x2193;</bold>
<break/>Haemophilus <bold>&#x2193;</bold>
</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="left">Clostridium_asparagiforme <bold>&#x2191;</bold>
<break/>Alistipes_onderdonkii <bold>&#x2191;</bold>
<break/>Clostridium_citroniae <bold>&#x2191;</bold>
<break/>Barnesiella_intestinihominis <bold>&#x2191;</bold>
<break/>Alistipes_finegoldii <bold>&#x2191;</bold>
<break/>Oscillibacter_unclassified <bold>&#x2191;</bold>
<break/>Clostridium_hathewayi <bold>&#x2191;</bold>
<break/>Clostridiales_bacterium_1_7_47FAA <bold>&#x2191;</bold>
<break/>Flavonifractor_plautii <bold>&#x2191;</bold>
<break/>Clostridium_bolteae <bold>&#x2191;</bold>
<break/>Akkermansia_muciniphila <bold>&#x2191;</bold>
<break/>Porphyromonas_uenonis <bold>&#x2191;</bold>
<break/>Campylobacter_hominis <bold>&#x2191;</bold>
<break/>Adlercreutzia_equolifaciens <bold>&#x2191;</bold>
<break/>Lachnospiraceae_bacterium_7_1_58FAA <bold>&#x2191;</bold>
<break/>Murine_osteosarcoma_virus <bold>&#x2191;</bold>
<break/>Anaerotruncus_unclassified <bold>&#x2191;</bold>
<break/>Bilophila_wadsworthia <bold>&#x2191;</bold>
<break/>Porphyromonas_asaccharolytica <bold>&#x2191;</bold>
<break/>Erysipelotrichaceae_bacterium_2_2_44A <bold>&#x2191;</bold>
<break/>Bacteroides_caccae <bold>&#x2191;</bold>
<break/>Bilophila_unclassified <bold>&#x2191;</bold>
<break/>Granulicella_unclassified <bold>&#x2191;</bold>
<break/>Atopobium_vaginae <bold>&#x2191;</bold>
<break/>Paraprevotella_unclassified <bold>&#x2191;</bold>
<break/>Paraprevotella_xylaniphila <bold>&#x2191;</bold>
<break/>Ruminococcaceae_bacterium_D16 <bold>&#x2191;</bold>
<break/>Subdoligranulum_sp_4_3_54A2FAA <bold>&#x2191;</bold>
<break/>Erysipelotrichaceae_bacterium_21_3 <bold>&#x2191;</bold>
<break/>Campylobacter_ureolyticus <bold>&#x2191;</bold>
<break/>Megamonas_unclassified <bold>&#x2193;</bold>
<break/>Faecalibacterium_prausnitzii <bold>&#x2193;</bold>
<break/>Eubacterium_rectale <bold>&#x2193;</bold>
<break/>Haemophilus_parainfluenzae <bold>&#x2193;</bold>
<break/>Dorea_longicatena <bold>&#x2193;</bold>
<break/>Roseburia_hominis <bold>&#x2193;</bold>
<break/>Roseburia_inulinivorans <bold>&#x2193;</bold>
<break/>Megamonas_hypermegale <bold>&#x2193;</bold>
<break/>Bacteroides_plebeius <bold>&#x2193;</bold>
<break/>Streptococcus_australis <bold>&#x2193;</bold>
<break/>Weissella_cibaria <bold>&#x2193;</bold>
<break/>Megamonas_funiformis <bold>&#x2193;</bold>
<break/>Megasphaera_unclassified <bold>&#x2193;</bold>
<break/>Bacteroides_xylanisolvens <bold>&#x2193;</bold>
<break/>Streptococcus_salivarius <bold>&#x2193;</bold>
</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Hu et&#xa0;al., 2023 (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">Bacteroidaceae <bold>&#x2191;</bold>
<break/>Prevotellaceae <bold>&#x2191;</bold>
<break/>Bifidobacteriaceae <bold>&#x2191;</bold>
<break/>
<italic>Ruminococcaceae</italic> <bold>&#x2193;</bold>
<break/>Lachnospiraceae <bold>&#x2193;</bold>
<break/>Enterobacteriaceae <bold>&#x2193;</bold>
<break/>Eubacteriaceae <bold>&#x2193;</bold>
</td>
<td valign="top" align="left">Bacteroidaceae <bold>&#x2191;</bold>
<break/>Prevotellaceae <bold>&#x2191;</bold>
<break/>Bifidobacteriaceae <bold>&#x2191;</bold>
<break/>Ruminococcaceae <bold>&#x2193;</bold>
<break/>Lachnospiraceae <bold>&#x2193;</bold>
<break/>Enterobacteriaceae <bold>&#x2193;</bold>
<break/>Eubacteriaceae <bold>&#x2193;</bold>
<break/>Clostridiaceae <bold>&#x2193;</bold>
<break/>Veillonellaceae <bold>&#x2193;</bold>
</td>
<td valign="top" align="left">Bacteroides <bold>&#x2191;</bold>
<break/>Butyricimonas <bold>&#x2191;</bold>
<break/>Faecalibacterium <bold>&#x2191;</bold>
<break/>Clostridium <bold>&#x2191;</bold>
<break/>Ruminiclostridium <bold>&#x2191;</bold>
<break/>Parabacteroides <bold>&#x2191;</bold>
<break/>Clostridium <bold>&#x2193;</bold>
<break/>Roseburia <bold>&#x2193;</bold>
<break/>Faecalibacterium <bold>&#x2193;</bold>
<break/>Eubacterium <bold>&#x2193;</bold>
<break/>Blautia <bold>&#x2193;</bold>
<break/>Dorea <bold>&#x2193;</bold>
<break/>Anaerostipes <bold>&#x2193;</bold>
<break/>Akkermansia <bold>&#x2193;</bold>
<break/>Ruminococcus <bold>&#x2193;</bold>
<break/>Subdoligranulum <bold>&#x2193;</bold>
<break/>Klebsiella <bold>&#x2193;</bold>
<break/>unclassified_p:Firmicutes <bold>&#x2193;</bold>
</td>
<td valign="top" align="left">Bacteroides <bold>&#x2191;</bold>
<break/>Blautia <bold>&#x2191;</bold>
<break/>Bilophila <bold>&#x2191;</bold>
<break/>Clostridium <bold>&#x2191;</bold>
<break/>Eubacterium <bold>&#x2191;</bold>
<break/>Parabacteroides <bold>&#x2191;</bold>
<break/>Parasutterella <bold>&#x2191;</bold>
<break/>Phascolarctobacterium <bold>&#x2191;</bold>
<break/>unclassified_p:Proteobacteria <bold>&#x2191;</bold>
<break/>Sutterella <bold>&#x2191;</bold>
<break/>Eubacterium <bold>&#x2193;</bold>
<break/>Faecalibacterium <bold>&#x2193;</bold>
<break/>Adlercreutzia <bold>&#x2193;</bold>
<break/>Anaerostipes <bold>&#x2193;</bold>
<break/>Blautia <bold>&#x2193;</bold>
<break/>Citrobacter<bold>&#x2193;</bold>
<break/>Clostridium <bold>&#x2193;</bold>
<break/>Coprococcus <bold>&#x2193;</bold>
<break/>Dialister <bold>&#x2193;</bold>
<break/>Dorea <bold>&#x2193;</bold>
<break/>Enterobacter <bold>&#x2193;</bold>
<break/>Enterococcus <bold>&#x2193;</bold>
<break/>unclassified_p:Firmicutes <bold>&#x2193;</bold>
<break/>Klebsiella <bold>&#x2193;</bold>
<break/>Lactococcus <bold>&#x2193;</bold>
<break/>unclassified_f:Peptostreptococcaceae <bold>&#x2193;</bold>
<break/>Ruminococcus <bold>&#x2193;</bold>
<break/>Salmonella <bold>&#x2193;</bold>
<break/>Subdoligranulum <bold>&#x2193;</bold>
</td>
<td valign="top" align="left">Bacteroides_vulgatus <bold>&#x2191;</bold>
<break/>Bacteroides_salyersiae <bold>&#x2191;</bold>
<break/>Bacteroides_stercoris <bold>&#x2191;</bold>
<break/>Bacteroides_thetaiotaomicron <bold>&#x2191;</bold>
<break/>Bacteroides_massiliensis <bold>&#x2191;</bold>
<break/>Bacteroides_stercoris_CAG:120 <bold>&#x2191;</bold>
<break/>Bacteroides_dorei <bold>&#x2191;</bold>
<break/>Bacteroides_fragilis <bold>&#x2191;</bold>
<break/>Bacteroides_sp._3_1_33FAA <bold>&#x2191;</bold>
<break/>Bacteroides_sp._CAG:98 <bold>&#x2191;</bold>
<break/>Bacteroides_ovatus <bold>&#x2191;</bold>
<break/>Butyricimonas_virosa <bold>&#x2191;</bold>
<break/>Eubacterium_siraeum <bold>&#x2191;</bold>&#x2003;<break/>Parabacteroides_distasonis <bold>&#x2191;</bold>
<break/>Clostridium_sp._CAG:7 <bold>&#x2191;</bold>
<break/>Clostridium_sp._CAG:217 <bold>&#x2193;</bold>
<break/>Roseburia_intestinalis <bold>&#x2193;</bold>
<break/>Faecalibacterium_prausnitzii <bold>&#x2193;</bold>
<break/>Clostridium_sp._CAG:510 <bold>&#x2193;</bold>
<break/>Faecalibacterium_sp._CAG:82 <bold>&#x2193;</bold>
<break/>Eubacterium_ventriosum <bold>&#x2193;</bold>
<break/>Blautia_obeum <bold>&#x2193;</bold>
<break/>Blautia_wexlerae <bold>&#x2193;</bold>
<break/>Blautia_sp._Marseille-P2398 <bold>&#x2193;</bold>
<break/>Eubacterium_hallii <bold>&#x2193;</bold>
<break/>Dorea_formicigenerans <bold>&#x2193;</bold>
<break/>Anaerostipes_hadrus <bold>&#x2193;</bold>
<break/>Eubacterium_hallii_CAG:12 <bold>&#x2193;</bold>
<break/>Eubacterium_sp._CAG:202 <bold>&#x2193;</bold>
<break/>Akkermansia_muciniphila_CAG:154 <bold>&#x2193;</bold>
<break/>Ruminococcus_sp._5_1_39BFAA <bold>&#x2193;</bold>
<break/>Eubacterium_sp._CAG:156 <bold>&#x2193;</bold>
<break/>Clostridium_sp._CAG:417 <bold>&#x2193;</bold>
<break/>Dorea_longicatena <bold>&#x2193;</bold>
<break/>Subdoligranulum_variabile <bold>&#x2193;</bold>
<break/>Klebsiella_pneumoniae <bold>&#x2193;</bold>
<break/>Eubacterium_sp._CAG:115 <bold>&#x2193;</bold>
<break/>Firmicutes_bacterium_CAG:41 <bold>&#x2193;</bold>
</td>
<td valign="top" align="left">Ruminococcus_gnavus <bold>&#x2191;</bold>
<break/>Bacteroides_caccae <bold>&#x2191;</bold>
<break/>Bacteroides_dorei <bold>&#x2191;</bold>
<break/>Bacteroides_eggerthii <bold>&#x2191;</bold>
<break/>Bacteroides_finegoldii <bold>&#x2191;</bold>
<break/>Bacteroides_fragilis <bold>&#x2191;</bold>
<break/>Bacteroides_massiliensis <bold>&#x2191;</bold>
<break/>Bacteroides_ovatus <bold>&#x2191;</bold>
<break/>Bacteroides_sp._3_1_33FAA <bold>&#x2191;</bold>
<break/>Bacteroides_sp._3_1_40A <bold>&#x2191;</bold>
<break/>Bacteroides_sp._4_3_47FAA <bold>&#x2191;</bold>
<break/>Bacteroides_sp._9_1_42FAA <bold>&#x2191;</bold>
<break/>Bacteroides_sp._CAG:98 <bold>&#x2191;</bold>
<break/>Bacteroides_stercoris <bold>&#x2191;</bold>
<break/>Bacteroides_thetaiotaomicron <bold>&#x2191;</bold>
<break/>Bacteroides_uniformis <bold>&#x2191;</bold>
<break/>Bacteroides_vulgatus <bold>&#x2191;</bold>
<break/>Bacteroides_xylanisolvens <bold>&#x2191;</bold>
<break/>Bilophila_wadsworthia <bold>&#x2191;</bold>
<break/>Clostridium_sp._CAG:81 <bold>&#x2191;</bold>
<break/>Coprobacillus_sp._CAG:235 <bold>&#x2191;</bold>
<break/>Eubacterium_sp._CAG:146 <bold>&#x2191;</bold>
<break/>Parabacteroides_distasonis <bold>&#x2191;</bold>
<break/>Parabacteroides_merdae <bold>&#x2191;</bold>
<break/>Parasutterella_excrementihominis <bold>&#x2191;</bold>
<break/>Phascolarctobacterium_sp._CAG:207 <bold>&#x2191;</bold>
<break/>Proteobacteria_bacterium_CAG:139 <bold>&#x2191;</bold>
<break/>Sutterella_wadsworthensis <bold>&#x2191;</bold>
<break/>Eubacterium_hallii <bold>&#x2193;</bold>
<break/>Adlercreutzia_equolifaciens <bold>&#x2193;</bold>
<break/>Anaerostipes_hadrus <bold>&#x2193;</bold>
<break/>Blautia_obeum <bold>&#x2193;</bold>
<break/>Blautia_sp._CAG:237 <bold>&#x2193;</bold>
<break/>Blautia_sp._GD8 <bold>&#x2193;</bold>
<break/>Blautia_sp._KLE_1732 <bold>&#x2193;</bold>
<break/>Blautia_sp._Marseille-P2398 <bold>&#x2193;</bold>
<break/>Blautia_wexlerae <bold>&#x2193;</bold>
<break/>Citrobacter_freundii <bold>&#x2193;</bold>
<break/>Clostridium_dakarense <bold>&#x2193;</bold>
<break/>Clostridium_sp._CAG:62 <bold>&#x2193;</bold>
<break/>Clostridium_sp._CAG:75 <bold>&#x2193;</bold>
<break/>Coprococcus_eutactus <bold>&#x2193;</bold>
<break/>Coprococcus_sp._ART55/1 <bold>&#x2193;</bold>
<break/>Coprococcus_sp._CAG:131 <bold>&#x2193;</bold>
<break/>Dialister_invisus <bold>&#x2193;</bold>
<break/>Dialister_succinatiphilus <bold>&#x2193;</bold>
<break/>Dorea_sp._CAG:105 <bold>&#x2193;</bold>
<break/>Enterobacter_cloacae <bold>&#x2193;</bold>
<break/>Enterobacter_sp._GN02315 <bold>&#x2193;</bold>
<break/>Enterococcus_faecalis <bold>&#x2193;</bold>
<break/>Eubacterium_hallii_CAG:12 <bold>&#x2193;</bold>
<break/>Eubacterium_sp._CAG:115 <bold>&#x2193;</bold>
<break/>Eubacterium_sp._CAG:180 <bold>&#x2193;</bold>
<break/>Eubacterium_sp._CAG:202 <bold>&#x2193;</bold>
<break/>Eubacterium_sp._CAG:251 <bold>&#x2193;</bold>
<break/>Faecalibacterium_sp._CAG:74 <bold>&#x2193;</bold>
<break/>Faecalibacterium_sp._CAG:82 <bold>&#x2193;</bold>
<break/>Firmicutes_bacterium_CAG:227 <bold>&#x2193;</bold>
<break/>Firmicutes_bacterium_CAG:341 <bold>&#x2193;</bold>
<break/>Klebsiella_pneumoniae <bold>&#x2193;</bold>
<break/>actococcus_garvieae <bold>&#x2193;</bold>
<break/>Peptostreptococcaceae_bacterium_VA2&#xa0;<bold>&#x2193;</bold>
<break/>Ruminococcus_sp._5_1_39BFAA <bold>&#x2193;</bold>
<break/>Ruminococcus_sp._CAG:17 <bold>&#x2193;</bold>
<break/>Ruminococcus_sp._CAG:9 <bold>&#x2193;</bold>
<break/>Ruminococcus_sp._JC304 <bold>&#x2193;</bold>
<break/>Salmonella_enterica <bold>&#x2193;</bold>
<break/>Subdoligranulum_variabile <bold>&#x2193;</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<bold>&#x2191;</bold>,relatively more abundant in subjects with MDD compared to HC; <bold>&#x2193;</bold>, relatively less abundant in subjects with MDD compared to HC.</p>
</fn>
<fn>
<p>NR, Not reported; NA, Not applicable.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<title>Correlation of bacterial taxa with severity of depression symptoms</title>
<p>Four studies examined the relationship between the severity of depression symptoms and specific bacterial taxa at the genus level (<xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B35">35</xref>). Among female MDD subjects, three genera (<italic>Anaerotruncus, Parabacteroides, and Anaeroglobus</italic>) exhibited associations with increased depressive symptoms, whereas five genera (<italic>Clostridium XIVa, Erysipelotrichaceae incertae sedis, Streptococcus, Romboutsia, and Fusicatenibacter</italic>) were linked to reduced depressive symptoms. In male MDD subjects, two distinct genera (<italic>Collinsella, Veillonella</italic>) were found to be correlated with depression symptoms (refer to <xref ref-type="table" rid="T4">
<bold>Table&#xa0;1.4</bold>
</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;1.4</label>
<caption>
<p>Correlation of Bacterial Taxa with Severity of Depression Symptoms.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" colspan="4" align="center">Positive Correlation</th>
<th valign="top" colspan="5" align="center">Negative Correlation</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Females</th>
<th valign="top" align="center">Males</th>
<th valign="top" colspan="2" align="center">All</th>
<th valign="top" align="center">Females</th>
<th valign="top" align="center">Males</th>
<th valign="top" colspan="3" align="center">All</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Chen et&#xa0;al., 2018 (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">Collinsella</td>
<td valign="top" colspan="2" align="center">N/A</td>
<td valign="top" align="center">Clostridium XIVa,<break/>Erysipelotrichaceae incertae sedis,<break/>Streptococcus</td>
<td valign="top" align="center">Veillonella</td>
<td valign="top" colspan="3" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="left">Li et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">NC</td>
<td valign="top" colspan="2" align="center">N/A</td>
<td valign="top" align="center">Romboutsia</td>
<td valign="top" align="center">NC</td>
<td valign="top" colspan="3" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="left">Chen et&#xa0;al 2021 (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="center">Anaerotruncus, Parabacteroides,<break/>Anaeroglobus</td>
<td valign="top" align="center">NA</td>
<td valign="top" colspan="2" align="center">N/A</td>
<td valign="top" align="center">Fusicatenibacter</td>
<td valign="top" align="center">NA</td>
<td valign="top" colspan="3" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="left">Hu et&#xa0;al., 2023 (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="center">N/A</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">Moderate5:<break/>Bacteroides</td>
<td valign="top" align="center">Severe6:<break/>Bacteroides</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">Moderate5:<break/>Faecalibacterium<break/>Escherichia</td>
<td valign="top" align="center">Severe6:<break/>Ruminococcus Eubacterium</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MDD, Major Depressive Disorder; NC, No correlation found; NA, Not assessed. <sup>5</sup>The severity of MDD was staged with the HAMD-17 scale, moderate depression (score, 17&#x2013;23), <sup>6</sup> The severity of MDD was staged with the HAMD-17 scale, severe depression (score, &#x2265;24).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_5">
<title>Potential diagnostic role of microbial markers and dysbiosis in major depression</title>
<p>Two studies (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>) examined the accuracy of microbial markers in diagnosing MDD, identified sex-specific gut microbiota signatures, and evaluated diagnostic performance using the area under the receiver operating characteristic curve (AUC). Analysis of the diagnostic performance sensitivity of these microbial signatures showed area under the curve (AUC) values ranging from 0.79 to 0.92 for females and 0.79 for males with MDD. An additional study (<xref ref-type="bibr" rid="B19">19</xref>) investigated the risk of developing MDD within five years following an initial dysbiosis diagnosis and found a stronger association between dysbiosis and MDD diagnosis in males (HR:3.54, 95% CI: 1.75&#x2013;7.14) compared to females HR:2.61 (95% CI: 1.74 &#x2013; 3.92). (Refer to <xref ref-type="table" rid="T5">
<bold>Table&#xa0;1.5</bold>
</xref>).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;1.5</label>
<caption>
<p>Diagnostic performance of microbial markers and dysbiosis in diagnosis of MDD.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="3" align="left"/>
<th valign="top" rowspan="3" align="left"/>
<th valign="top" rowspan="2" colspan="2" align="center">Diagnostic Performance Sensitivity (AUC)</th>
<th valign="top" colspan="3" align="center">Microbial Makers</th>
<th valign="top" rowspan="2" colspan="2" align="center">Hazard Ratio7</th>
</tr>
<tr>
<th valign="top" align="center">OTU&#xa0;(n)</th>
<th valign="top" align="center">OTU&#xa0;(n)</th>
<th valign="top" align="center">Species&#xa0;(n)</th>
</tr>
<tr>
<th valign="top" align="center">Female</th>
<th valign="top" align="center">Male</th>
<th valign="top" align="left">Female</th>
<th valign="top" align="left">Male</th>
<th valign="top" align="left">Female</th>
<th valign="top" align="center">Female</th>
<th valign="top" align="center">Male</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Li et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="left">16S rRNA</td>
<td valign="top" align="center">0.795</td>
<td valign="top" align="center">0.798</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="left">Chen et&#xa0;al 2021 (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="left">16S rRNA &amp;<break/>Shotgun metagenomic</td>
<td valign="top" align="center">0.92<break/>(95% CI: 85.3% - 98.8%)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="left">Chung et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="left">Clinical record 8</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2.61&#xa0;(95%&#xa0;CI: 1.74 &#x2013; 3.92)</td>
<td valign="top" align="center">3.54 (95% CI: 1.75&#x2013;7.14)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>AUC, Area under the curve; OTU, Operational taxonomic units; MDD, Major Depressive Disorder; HC, Healthy Controls; CI, Confidence Interval; NA, Not assessed; 7 Hazards Ratio, risk of being diagnosed with depression within five years of dysbiosis.</p>
</fn>
<fn>
<p>
<sup>8</sup>Clinical Record: Diagnosis of Dysbiosis and MDD (ICD-10 code) recorded in patient clinical record.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Several recent studies have suggested that the gut microbiome profile is associated with Major Depressive Disorder (MDD), yet only a few have investigated the sex-specific link between MDD and the gut microbiome. This review represents the first comprehensive analysis examining the relationship between the gender-specific gut microbiome profile and MDD. To date, five primary studies have provided insights into the relationship between the gut microbiome and MDD in women (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B35">35</xref>). These findings indicate a close association between the gut microbiome composition of females with MDD and the disorder itself, highlighting sex-specific differences in the gut microbiota of MDD patients. Certain genera were found to correlate with the severity of depression, and these correlations varied between males and females. Additionally, sex-specific differences were observed in the diagnostic performance of microbial markers and the risk of developing MDD following a dysbiosis diagnosis. While the underlying pathophysiological mechanism remains unclear, the distinct microbiome variability between sexes necessitates further investigation.</p>
<sec id="s4_1">
<title>Regarding gender-specific microbiome diversity</title>
<p>Our review results are consistent with existing literature, emphasizing notable differences in the gut microbiota composition between individuals diagnosed with MDD and controls (<xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>). These differences primarily involve microbial diversity and the prevalence of specific bacterial taxa. Four separate studies highlighted discernible variations in microbial diversity in both male and female MDD patients compared to their healthy counterparts (<xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B35">35</xref>). Notably, one study observed no significant difference in microbial diversity between male and female MDD patients (<xref ref-type="bibr" rid="B32">32</xref>). Most case-control studies found no alterations in alpha diversity among female MDD subjects compared to female healthy controls, while one study (<xref ref-type="bibr" rid="B35">35</xref>) reported reduced alpha diversity in female MDD subjects relative to healthy controls, mirroring a similar trend observed in male MDD subjects.</p>
<p>All studies examining beta diversity identified significant differences between female MDD patients and healthy controls (<xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>), with two studies also noting distinct variations in beta diversity between male MDD patients and healthy controls (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). One study focusing solely on females revealed alterations in beta diversity at the species level in female MDD subjects (<xref ref-type="bibr" rid="B34">34</xref>). Despite observing higher alpha diversity in healthy females compared to healthy males, this distinction was not observed in the depressed state (<xref ref-type="bibr" rid="B33">33</xref>).</p>
<p>These findings suggest gender-specific differences in the gut microbiome that may be influenced by various factors, such as the menstrual cycle stage, diet, age, and environmental factors. Overall, the results emphasize distinct beta diversity in both female and male MDD patients compared to healthy controls (<xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>), with potential discrepancies in alpha diversity stemming from methodological variations in assessing microbiome diversity and the influence of confounding factors. Further clinical studies are warranted to comprehensively investigate the role of the gut microbiome in both male and female MDD patients, considering the potential implications for other diseases prevalent in females. The studies used various techniques, including 16S rRNA gene sequencing and shotgun metagenomic sequencing (SMG), to assess the microbiome. However, discrepancies in the methodologies employed suggest the need for standardized approaches in future research.</p>
</sec>
<sec id="s4_2">
<title>In terms of gender-specific microbiome profiles</title>
<p>The current study reveals notable differences in the gut microbiome profiles of females with MDD in comparison to both healthy controls (HCs) and males with MDD. Analyzing data from four cross-sectional studies (<xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B35">35</xref>), we identified several differential abundances in bacterial clusters in both female and male MDD groups relative to HCs. These alterations primarily involved Actinobacteria, Bacteroidetes, Firmicutes, Proteobacteria, Fusobacteria, and Verrucomicrobia, which represent the dominant bacterial phyla in the human gut (<xref ref-type="bibr" rid="B29">29</xref>) Notably, despite previous literature suggesting Bacteroides as a signature gut microbe of MDD (<xref ref-type="bibr" rid="B17">17</xref>), our review unveiled inconsistent directions of compositional changes, which may be partly attributed to variations in the severity of depression. Hu et&#xa0;al. (<xref ref-type="bibr" rid="B35">35</xref>) also highlighted the influence of depression severity on gut microbiome alterations. Furthermore, a recent review on MDD and the gut microbiome by Knuesel and Mohajeri (<xref ref-type="bibr" rid="B22">22</xref>) identified disparities across studies, suggesting potential variations arising from different underlying causes and manifestations of depression across different age groups. Notably, the influence of confounding factors, such as the stage of the menstrual cycle, dietary patterns, physical activity, and environmental factors (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B36">36</xref>) may contribute to the discrepancies observed in the findings. The current body of literature, however, lacks a sufficient number of studies investigating sex-specific differences in the gut microbiome concerning MDD.</p>
</sec>
<sec id="s4_3">
<title>In the correlation of bacterial taxa with the severity of depressive symptoms</title>
<p>Several studies have indicated associations between specific bacterial taxa and the severity of depressive symptoms in individuals with MDD, as observed in the works of recent studies (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B35">35</xref>). Notably, certain genera, including Anaerotruncus, Parabacteroides, and Anaeroglobus, were linked to increased depressive symptoms, whereas the presence of Clostridium XIVa, Erysipelotrichaceae incertae sedis, Streptococcus, Romboutsia, and Fusicatenibacter was associated with reduced symptoms. Despite Chen et&#xa0;al. (<xref ref-type="bibr" rid="B32">32</xref>) documenting correlations in males with MDD, the&#xa0;literature remains relatively limited and heterogeneous. A comprehensive review by Knuesel and Mohajeri (<xref ref-type="bibr" rid="B22">22</xref>) emphasized a negative correlation between Faecalibacterium and depressive symptoms, coupled with a positive correlation in cases of remission and improved quality of life. Similarly, Jiang et&#xa0;al. (<xref ref-type="bibr" rid="B9">9</xref>) demonstrated a negative association between Faecalibacterium prausnitzii (FP) and the severity of depressive symptoms. Likewise, Hu et&#xa0;al. (<xref ref-type="bibr" rid="B35">35</xref>) utilized shotgun sequencing, revealing a negative correlation between Faecalibacterium and depressive symptoms in a mixed-sex group of MDD patients with moderate depression. However, this correlation was not observed in the subgroup with severe depression, suggesting the potential confounding impact of depression severity. While the reviewed studies did not definitively establish the specific link between Faecalibacterium and the severity of depressive symptoms&#xa0;in females with MDD, they reported varying levels of Faecalibacterium in females with MDD compared to HCs. Despite existing disparities, Faecalibacterium remains a critical bacterial taxon of interest, previously associated with gut health and overall host well-being (<xref ref-type="bibr" rid="B37">37</xref>). Further exploration through improved methodological approaches, including controlling for sex as a biological factor and considering depression severity, is warranted to clarify the precise contribution of specific bacterial taxa to disease development or their status as a consequence of the disease.</p>
</sec>
<sec id="s4_4">
<title>As a potential diagnostic microbial marker in depression</title>
<p>The evaluation of the diagnostic efficacy of microbial markers in females with MDD is still in its preliminary stages. Two separate studies have identified sex-specific gut microbial markers capable of distinguishing between males with MDD, females with MDD, and HCs (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). Examination of how well these microbial signatures perform diagnostically showed that the area under the curve (AUC) values ranged from 0.79 to 0.92 for females and 0.79 for males diagnosed with MDD. Although these findings are limited due to sparse data and disparate methodologies, the identification of sex-specific microbial panels with potential diagnostic capabilities highlights the significance of sex stratification in MDD case-control studies. Additionally, this discovery provides crucial insights into the divergent pathophysiological mechanisms and prognostic variances between male and female MDD patients. Moreover, a study by Chung et&#xa0;al. (<xref ref-type="bibr" rid="B19">19</xref>) observed sex-specific disparities in the risk of developing MDD within five years following an initial dysbiosis diagnosis, with a notably stronger association among males compared to females. While specific microbial markers were not identified, this observation, in conjunction with existing evidence indicating the presence of sex-specific gut microbial profiles in MDD, emphasizes the potential for comprehensive characterization of sex-specific risk factors and the formulation of non-invasive gut microbial-based screening or diagnostic tools for MDD.</p>
</sec>
<sec id="s4_5">
<title>The limitations of the present study</title>
<p>Include the heterogeneity in measurement and reporting methods, as well as the use of limited sample sizes and study designs, which impose certain restrictions on the interpretability of the results. However, these findings provide critical insights into the potential role of the gut microbiome in the context of MDD, especially concerning sex-specific differences. Future research should emphasize the inclusion of sex as a biological factor, conduct longitudinal studies to understand microbiome changes in response to clinical variations better, and carefully control for confounding factors to establish a more comprehensive understanding of the complex interplay between the gut microbiome and MDD.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>Despite the existing knowledge gaps and limitations, the findings underscore the significance of sex-specific differences in the gut microbiome of MDD patients. These insights hold important implications for potential advancements in the diagnosis, treatment, and understanding of the pathophysiology of MDD, emphasizing the necessity for further comprehensive investigations into the role of the gut microbiome in the context of sex-specific differences.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>LN: Conceptualization, Validation, Writing &#x2013; review &amp; editing, Data curation, Formal Analysis, Investigation, Methodology, Writing &#x2013; original draft. GL: Validation, Writing &#x2013; review &amp; editing. SC: Validation, Writing &#x2013; review &amp; editing. MM: Validation, Writing &#x2013; review &amp; editing. AY: Validation, Writing &#x2013; review &amp; editing. BO: Conceptualization, Supervision, Validation, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The publication fee for this article was supported by the Royal Northshore Public Hospital&#x2019;s Radiation Oncology Department's Trust and Education Fund.</p>
</sec>
<sec id="s8" 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="s9" 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>
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