<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3-mathml3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="1.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2025.1639359</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Gut microbiota-driven dysbiosis of the SCFA-immune axis in pediatric allergic rhinitis-constipation comorbidity: mechanisms and synbiotic remodeling</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Yang</surname><given-names>WeiKeng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Funding acquisition" vocab-term-identifier="https://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &amp; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Zhang</surname><given-names>Xiaojiao</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &amp; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role>
</contrib>
<contrib contrib-type="author">
<name><surname>Wu</surname><given-names>Bin</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &amp; editing</role>
</contrib>
<contrib contrib-type="author">
<name><surname>Ni</surname><given-names>Binyu</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="visualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/visualization/">Visualization</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &amp; editing</role>
</contrib>
<contrib contrib-type="author">
<name><surname>Lin</surname><given-names>Hongbin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="software" vocab-term-identifier="https://credit.niso.org/contributor-roles/software/">Software</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &amp; editing</role>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Huang</surname><given-names>Congfu</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1135738/overview"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Funding acquisition" vocab-term-identifier="https://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Project-administration" vocab-term-identifier="https://credit.niso.org/contributor-roles/project-administration/">Project administration</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="software" vocab-term-identifier="https://credit.niso.org/contributor-roles/software/">Software</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &amp; editing</role>
</contrib>
</contrib-group>
<aff id="aff1"><label>1</label><institution>The Second Affiliated Hospital, School of Medicine, The Chinese University of Hong Kong, Shenzhen &amp; Longgang District People's Hospital of Shenzhen</institution>, <city>Guangdong</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Child Health Department, Zhuhai Maternal and Child Health Hospital</institution>, <city>Zhuhai</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Pediatrics, Longgang District Maternity &amp; Child Healthcare Hospital of Shenzhen City (Affiliated Shenzhen Women and Children's Hospital (Longgang) of Shantou University Medical College, Medical Research Institute of Maternal and Child</institution>, <city>Shenzhen</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Congfu Huang, <email xlink:href="mailto:78333755@qq.com">78333755@qq.com</email></corresp>
<fn fn-type="equal" id="fn003">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-03">
<day>03</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1639359</elocation-id>
<history>
<date date-type="received">
<day>02</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>09</day>
<month>11</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Yang, Zhang, Wu, Ni, Lin and Huang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Yang, Zhang, Wu, Ni, Lin and Huang</copyright-holder>
<license>
<ali:license_ref start_date="2025-12-03">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>The coexistence of allergic rhinitis (AR) and functional constipation (FC) in children reflects complex gut&#x2013;immune interactions; however, the contribution of microbiota-derived short-chain fatty acids (SCFAs) to immune-metabolic dysregulation remains poorly defined.</p>
</sec>
<sec>
<title>Methods</title>
<p>Fecal microbiota from 57 AR-FC children (aged 0&#x2013;6 years) and 59 age-matched healthy controls (HC) were profiled using 16S rRNA gene sequencing, and functional pathways were inferred via PICRUSt2. A subset of 13 preschoolers (aged 3&#x2013;7 years) underwent a 3-month synbiotic intervention (multi-strain probiotics combined with dietary fiber), with paired pre- and post-treatment samples analyzed.</p>
</sec>
<sec>
<title>Results</title>
<p>AR-FC subjects exhibited reduced &#x3b1;- diversity (<italic>P</italic> =&#xa0;0.003) and depletion of SCFAs-producing taxa (<italic>Faecalibacterium prausnitzii</italic>: Log2FC = &#x2212;2.1, <italic>P</italic>&#xa0;=&#xa0;0.001; <italic>Bacteroides stercoris</italic>: Log2FC = &#x2212;1.8, <italic>P</italic>&#xa0;=&#xa0;0.005). Alterations were observed in functional pathways, including upregulated proteasome activity (<italic>P</italic> =&#xa0;0.01, potentially linked to antigen processing) and suppressed LPS biosynthesis (<italic>P</italic>&#xa0;=&#xa0;0.02, suggestive of impaired innate immunity). Synbiotic administration enriched <italic>Faecalibacterium</italic> abundance (+54.8%, <italic>P</italic> &lt; 0.05) and alleviated constipation but reduced <italic>Bifidobacterium</italic> (&#x2212;85.2%, <italic>P</italic> &lt; 0.05), reflecting substrate competition. Following synbiotic intervention, metabolic remodeling was characterized by increased sulfur assimilation (+83.2% sulfate reduction, <italic>P</italic>&#xa0;=&#xa0;0.04) and diminished &#x3b2;-lactam resistance (&#x2212;35.4%, <italic>P</italic>&#xa0;=&#xa0;0.03).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Gut dysbiosis in AR-FC comorbidity is associated with disruption of the microbiota&#x2013;SCFA&#x2013;immune axis, which may correlate with mucosal barrier defects and a potential bias toward T helper 2 (Th2) polarization. Although synbiotic therapy induced taxonomic shifts and improved gastrointestinal function, our findings highlight the need for strain-specific formulations to achieve comprehensive immune and intestinal restoration.</p>
</sec>
</abstract>
<kwd-group>
<kwd>allergic rhinitis</kwd>
<kwd>functional constipation</kwd>
<kwd>gut-immune axis</kwd>
<kwd>short-chain fatty acids (SCFAs)</kwd>
<kwd>synbiotic therapy</kwd>
<kwd>dysbiosis</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declare that financial support was received for the research and/or publication of this article. This work was strongly supported by the Research Initiation Fund of Longgang District&#xa0;Maternity and Child Healthcare Hospital of Shenzhen City&#xa0;(Y2024011), Longgang District Science and Technology Innovation&#xa0;Bureau (LGWJ2023-038 and LGWJ20230-072), and the Medical&#xa0;and&#xa0;Health Science and Technology Program of Zhuhai City (No.2220004000337).</funding-statement>
</funding-group>
<counts>
<fig-count count="6"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="25"/>
<page-count count="12"/>
<word-count count="4362"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Microbial Immunology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>The co-occurrence of allergic rhinitis (AR) and functional constipation (FC) in pediatric populations presents a considerable clinical burden, with epidemiological studies reporting a comorbidity prevalence of approximately 20% (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). While gut dysbiosis has been extensively characterized in children with either condition alone (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>), the specific microbial and metabolic mechanisms underlying their simultaneous presentation remain inadequately elucidated.</p>
<p>Several research gaps persist. First, most FC-related studies have focused on adult populations (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B5">5</xref>), neglecting pediatric-specific factors such as age-dependent gut microbial maturation and immune plasticity (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). Second, while taxonomic shifts have been described, functional pathway analyses that elucidate microbiota&#x2013;metabolite&#x2013;immune crosstalk are limited (<xref ref-type="bibr" rid="B3">3</xref>). Third, although probiotics and prebiotics show promise in managing AR or FC individually (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B8">8</xref>), their synergistic potential in children with AR-FC comorbidity has not been systematically evaluated.</p>
<p>Emerging evidence highlights the microbiota&#x2013;short-chain fatty acid (SCFA)&#x2013;immune axis as a key regulator of mucosal and systemic immunity. SCFAs&#x2014;particularly butyrate, produced by commensals such as Faecalibacterium prausnitzii and Bacteroides stercoris&#x2014;enhance epithelial barrier function (<xref ref-type="bibr" rid="B6">6</xref>), suppress T helper 2 (Th2) responses via histone deacetylase inhibition (<xref ref-type="bibr" rid="B9">9</xref>), and promote regulatory T cell(Treg) differentiation (<xref ref-type="bibr" rid="B10">10</xref>). In children, SCFA depletion has been linked to barrier disruption, IgE-mediated sensitization, and Th2/Treg imbalance (<xref ref-type="bibr" rid="B9">9</xref>). However, the mechanistic connections among gut dysbiosis, metabolic perturbations, and immune alterations in AR-FC comorbidity remain elusive.</p>
<p>To address these gaps, this study integrates taxonomic, functional, and interventional analyses with clinical phenotypes to investigate gut microbiota-driven immune-metabolic disturbances in pediatric AR-FC. We hypothesize that children with AR-FC exhibit a distinct microbial configuration characterized by depletion of SCFA-producing taxa and disruption of metabolic pathways, contributing to epithelial barrier compromise and Th2-skewed immunity. Our findings aim to advance the microbiota&#x2013;SCFA&#x2013;immune axis paradigm and support the development of targeted therapies for pediatric AR-FC comorbidity.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study design and participants</title>
<p>A total of 57 children aged 0&#x2013;6 years diagnosed with AR-FC and 59 age-matched healthy controls (HC) were recruited from Longgang District Maternity and Child Healthcare Hospital. AR diagnosis followed the established AR guidelines (<xref ref-type="bibr" rid="B11">11</xref>), while FC was defined according to the Rome IV criteria (<xref ref-type="bibr" rid="B12">12</xref>). Participants were excluded if they: (1) had used antibiotics or probiotics within the past three months; (2) had developmental disorders; or (3) had chronic gastrointestinal diseases.</p>
<p>Sample size estimation was conducted using G*Power 3.1 (<xref ref-type="bibr" rid="B13">13</xref>), based on an expected Shannon diversity effect size of 0.8 (&#x3b1; = 0.05, power = 0.8) and anticipated Log<sub>2</sub>FC differences in key taxa (e.g., <italic>Faecalibacterium prausnitzii</italic>, &#x3b4; = &#x2212;2.0, &#x3c3; = 1.2).</p>
<p>Written informed consent was obtained from guardians. The study protocol was approved by the Institutional Review Board of Longgang District Maternity and Child Healthcare Hospital (Approval No. KYXMLL-01-CZGC-14-2-1). The trial was registered in the Chinese Clinical Trial Registry (Registration number: ChiCTR2400085982; Reg Date:2024-06-21).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Participant characteristics</title>
<p>Demographic and clinical characteristics of the AR-FC and HC groups are presented in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>. The two groups were comparable in terms of age, sex, height, and weight. No significant differences were observed in delivery mode, feeding history, orneonatal intensive care unit (NICU) admission history (all <italic>P</italic> &gt; 0.05).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Demographic and clinical characteristics of the AR-FC and healthy control (HC) groups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Characteristic</th>
<th valign="middle" align="left">AR-FC (n=57)</th>
<th valign="middle" align="left">HC (n=59)</th>
<th valign="middle" align="left">Statistical test</th>
<th valign="middle" align="left"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age (year), mean &#xb1; SD</td>
<td valign="middle" align="left">4.8 &#xb1; 0.9</td>
<td valign="middle" align="left">4.7 &#xb1; 1.0</td>
<td valign="middle" align="left">t-test</td>
<td valign="middle" align="left">0.603</td>
</tr>
<tr>
<td valign="middle" align="left">Sex (Male), n (%)</td>
<td valign="middle" align="left">32 (56.1%)</td>
<td valign="middle" align="left">35 (59.3%)</td>
<td valign="middle" align="left">&#x3c7;&#xb2; test</td>
<td valign="middle" align="left">0.669</td>
</tr>
<tr>
<td valign="middle" align="left">Height (cm), mean &#xb1; SD</td>
<td valign="middle" align="left">108.5 &#xb1; 6.2</td>
<td valign="middle" align="left">107.8 &#xb1; 5.9</td>
<td valign="middle" align="left">t-test</td>
<td valign="middle" align="left">0.532</td>
</tr>
<tr>
<td valign="middle" align="left">Weight (kg), mean &#xb1; SD</td>
<td valign="middle" align="left">19.2 &#xb1; 2.7</td>
<td valign="middle" align="left">18.9 &#xb1; 2.5</td>
<td valign="middle" align="left">t-test</td>
<td valign="middle" align="left">0.543</td>
</tr>
<tr>
<td valign="middle" align="left">Delivery mode (Vaginal), n (%)</td>
<td valign="middle" align="left">41 (71.9%)</td>
<td valign="middle" align="left">44 (74.6%)</td>
<td valign="middle" align="left">&#x3c7;&#xb2; test</td>
<td valign="middle" align="left">0.744</td>
</tr>
<tr>
<td valign="middle" align="left">Exclusive breastfeeding (&#x2265;6 mo), n (%)</td>
<td valign="middle" align="left">36 (63.2%)</td>
<td valign="middle" align="left">38 (64.4%)</td>
<td valign="middle" align="left">&#x3c7;&#xb2; test</td>
<td valign="middle" align="left">0.892</td>
</tr>
<tr>
<td valign="middle" align="left">History of NICU admission, n (%)</td>
<td valign="middle" align="left">8 (14.0%)</td>
<td valign="middle" align="left">6 (10.2%)</td>
<td valign="middle" align="left">&#x3c7;&#xb2; test</td>
<td valign="middle" align="left">0.522</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Fecal sample processing and <italic>16S rRNA</italic> gene sequencing</title>
<p>Fecal samples (~5g) were collected in sterile containers, immediately flash-frozen at &#x2212;80&#xa0;&#xb0;C, and transported to BGI Precision Nutrition Co., Ltd for analysis. Total genomic DNA was extracted using the PowerSoil<sup>&#xae;</sup> DNA Isolation Kit (MoBio Laboratories, USA) following the manufacturer&#x2019;s protocol.</p>
<p>The V3&#x2013;V4 hypervariable regions of the 16S rRNA gene were amplified using primers 338F (5&#x2032;-ACTCCTACGGGAGGCAGCAG-3&#x2032;) and 806R (5&#x2032;-GGACTACHVGGGTWTCTAAT-3&#x2032;). Polymerase chain reaction (PCR) amplification was performed under the following conditions: initial denaturation at 94&#xa0;&#xb0;C for 5&#xa0;min; 30 cycles of denaturation at 94&#xa0;&#xb0;C for 30 s, annealing at 52&#xa0;&#xb0;C for 30 s, and extension at 72&#xa0;&#xb0;C for 45 s; followed by a final extension at 72&#xa0;&#xb0;C for 10&#xa0;min. Purified amplicons were quantified and pooled in equimolar concentrations, then sequenced on the Illumina MiSeq platform (2 &#xd7; 250 bp paired-end reads).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Synbiotic intervention protocol</title>
<p>Thirteen preschool-aged children with AR-FC (aged 3&#x2013;7 years) received oral administration of a multi-strain probiotic formulation (3 g/sachet containing 1&#xd7;10<sup>10</sup> CFU viable bacteria per sachet, comprising <italic>Lactobacillus paracasei GM080, L. paracasei LT12, L. acidophilus DDS-1, L. rhamnosus UAlr-06, L. fermentum GM090</italic>, and <italic>Bifidobacterium lactis UABla-12</italic>) combined with a dietary fiber supplement (3 g/sachet providing 2.6&#xa0;g fiber from partially hydrolyzed guar gum, resistant dextrin, and fructooligosaccharides). The initial dosage was one sachet twice daily, which was reduced to once daily after two weeks or upon significant constipation relief. Paired fecal samples were collected before and after the 3-month intervention.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Bioinformatic and statistical analyses</title>
<p>Raw sequencing reads were subjected to quality control using Trimmomatic v0.39, wherein reads with Phred quality scores (Q-score) &lt; 30, ambiguous bases, or lengths &lt; 200 bp were discarded. Chimeric sequences were identified and removed using USEARCH v11.0.667, implementing the <italic>de novo</italic> UCHIME algorithm. High-quality paired-end reads were subsequently merged with FLASH v1.2.11, and operational taxonomic units (OTUs) were clustered at&#xa0;a 97% sequence similarity threshold using USEARCH. Taxonomic&#xa0;annotation was performed against the Greengenes database (v2013).</p>
<p>&#x3b1;- diversity indices (Shannon index) and &#x3b2;-diversity metrics (Bray&#x2013;Curtis dissimilarity) were computed in R v3.3.3 using the &#x201c;ade4&#x201d; package. Differential taxonomic abundance between groups was assessed via Wilcoxon rank-sum tests with Benjamini&#x2013;Hochberg false discovery rate (FDR) correction (adjusted <italic>P</italic> &lt; 0.05). Functional prediction analysis was inferred using PICRUSt2 v2.4.2 based on Kyoto Encyclopedia of Genes and Genomes (KEGG) Orthology (KO) annotations.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results before intervention</title>
<sec id="s3_1">
<label>3.1</label>
<title>Gut microbiota diversity, composition, and taxonomic alterations in children with coexisting allergic rhinitis and functional constipation</title>
<p>Comparative analysis revealed marked gut microbial dysbiosis in children with AR-FC compared to HCs. &#x3b1;-diversity, assessed by the Shannon index, was significantly reduced in the AR-FC group (<italic>P</italic>&#xa0;=&#xa0;0.003; <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1A</bold></xref>), while &#x3b2;-diversity analysis using principal coordinates analysis (PCoA) revealed a clear separation between the AR-FC and HC groups (PERMANOVA, P&#xa0;=&#xa0;0.002; <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1B</bold></xref>), indicating significant differences in microbial community structure.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Gut microbiota diversity and phylum-level composition between AR-FC and HC groups. <bold>(A)</bold> &#x3b1;-diversity analysis (Shannon index) showing reduced microbial diversity in AR-FC children (Wilcoxon rank-sum test, <italic>P</italic>&#xa0;=&#xa0;0.003). <bold>(B)</bold> Principal coordinates analysis (PCoA) of &#x3b2;-diversity based on Bray-Curtis dissimilarity (PERMANOVA, <italic>P</italic>&#xa0;=&#xa0;0.002), showing significant separation between AR-FC and HC groups. <bold>(C)</bold> Relative abundance of dominant phyla (<italic>Bacteroidetes, Firmicutes, Actinobacteria, Proteobacteria</italic>, and <italic>Fusobacteria</italic>). <bold>(D)</bold> Differential phylum abundance between groups (<italic>P</italic> &lt; 0.05; <italic>P</italic> &lt; 0.01; <italic>P</italic> &lt; 0.001; Wilcoxon test with FDR correction). AR-FC, Allergic rhinitis with functional constipation; HC, Healthy control.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1639359-g001.tif">
<alt-text content-type="machine-generated">Panel A shows box plots comparing Shannon index for HC and AR-FC groups with a p-value of 0.003245. Panel B presents a PCoA plot illustrating the distribution of samples along PC1 and PC2 for HC and AR-FC groups. Panel C includes stacked bar graphs of relative abundance for different taxa across both groups. Panel D displays bar graphs of relative abundance for Bacteroidota, Actinobacteriota, and Firmicutes, highlighting significant differences between the groups.</alt-text>
</graphic></fig>
<p>This dysbiosis was associated with pronounced taxonomic alterations across multiple hierarchical levels. At the phylum level, the relative abundance of Bacteroidetes was markedly decreased (Log<sub>2</sub>FC = &#x2212;1.5, <italic>P</italic>&#xa0;=&#xa0;0.003), whereas Firmicutes and Actinobacteria were significantly enriched (<italic>P</italic> &lt; 0.05; <xref ref-type="fig" rid="f1"><bold>Figures&#xa0;1C, D</bold></xref>). Genus-level profiling revealed enrichment of <italic>Bifidobacterium</italic>, <italic>Lachnoclostridium</italic>, <italic>Blautia</italic>, and <italic>Erysipelatoclostridium</italic> in AR-FC, concomitant with depletion of <italic>Bacteroides</italic>, <italic>Faecalibacterium</italic>, <italic>Alistipes</italic>, and <italic>Phascolarctobacterium</italic> (all <italic>P</italic> &lt; 0.05; <xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2A, B</bold></xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Genus-level taxonomic differences in gut microbiota. <bold>(A)</bold> Stacked bar plot showing the relative abundance of dominant genera. <bold>(B)</bold> Differentially abundant genera between AR-FC and HC groups. Key findings: <italic>Bifidobacterium, Lachnoclostridium, Blautia</italic>, and <italic>Erysipelatoclostridium</italic> were enriched in AR-FC, while <italic>Bacteroides</italic>, <italic>Faecalibacterium, Alistipes</italic>, and <italic>Phascolarctobacterium</italic> were depleted (*<italic>P</italic> &lt; 0.05, **<italic>P</italic> &lt; 0.01, ***<italic>P</italic> &lt; 0.001; Wilcoxon test with FDR correction).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1639359-g002.tif">
<alt-text content-type="machine-generated">Figure A presents stacked bar charts showing the relative abundance of various bacterial groups in HC and AR-FC samples. Each color represents a different bacterial genus or group. Figure B displays box plots comparing the relative abundance of specific bacterial taxa between the HC and AR-FC groups, highlighting significant differences with asterisks (***, **, *). The x-axes display sample types, and the y-axes show relative abundance percentages.</alt-text>
</graphic></fig>
<p>At the species level, the most pronounced reductions were observed in key SCFA-producing taxa, including <italic>Faecalibacterium prausnitzii</italic> (Log<sub>2</sub>FC = &#x2212;2.1, <italic>P</italic>&#xa0;=&#xa0;0.001) and <italic>Bacteroides stercoris</italic> (Log<sub>2</sub>FC = &#x2212;1.8, <italic>P</italic>&#xa0;=&#xa0;0.005; <xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3A, B</bold></xref>). A comprehensive summary of these differentially abundant taxa is presented in <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Species-level microbial signatures of AR-FC comorbidity. <bold>(A)</bold> Heatmap of dominant species abundance. <bold>(B)</bold> Differentially abundant species, including reduced Bacteroides stercoris (Log2FC=-1.8, P = 0.005) and Faecalibacterium prausnitzii (Log2FC = -2.1, <italic>P</italic> = 0.001) in AR-FC (**<italic>P</italic> &lt; 0.01, ***<italic>P</italic> &lt; 0.001; Wilcoxon test with FDR correction).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1639359-g003.tif">
<alt-text content-type="machine-generated">Bar charts and box plots showing microbial diversity. The top charts compare the relative abundance of microorganisms between HC and AR-FC groups with varied color-coded taxa. The bottom plots detail specific taxa: Lachnoclostridium, Erysipelatoclostridium, Bacteroides, and others, indicating varying abundance with significant differences between groups.</alt-text>
</graphic></fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Differentially abundant taxa in AR-FC <italic>vs.</italic> HC groups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Taxonomic level</th>
<th valign="middle" align="left">Taxon</th>
<th valign="middle" align="center">AR-FC vs. HC (Log<sub>2</sub>FC)</th>
<th valign="middle" align="center"><italic>P</italic>-value (FDR-adjusted)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Phylum</td>
<td valign="middle" align="left">Bacteroidetes</td>
<td valign="middle" align="center">&#x2212;1.5</td>
<td valign="middle" align="center">0.003</td>
</tr>
<tr>
<td valign="middle" align="left">Phylum</td>
<td valign="middle" align="left">Firmicutes</td>
<td valign="middle" align="center">+1.2</td>
<td valign="middle" align="center">0.012</td>
</tr>
<tr>
<td valign="middle" align="left">Phylum</td>
<td valign="middle" align="left">Actinobacteria</td>
<td valign="middle" align="center">+0.9</td>
<td valign="middle" align="center">0.028</td>
</tr>
<tr>
<td valign="middle" align="left">Genus</td>
<td valign="middle" align="left"><italic>Faecalibacterium</italic></td>
<td valign="middle" align="center">&#x2212;2.1</td>
<td valign="middle" align="center">0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Genus</td>
<td valign="middle" align="left"><italic>Bacteroides</italic></td>
<td valign="middle" align="center">&#x2212;1.7</td>
<td valign="middle" align="center">0.004</td>
</tr>
<tr>
<td valign="middle" align="left">Genus</td>
<td valign="middle" align="left"><italic>Bifidobacterium</italic></td>
<td valign="middle" align="center">+1.5</td>
<td valign="middle" align="center">0.018</td>
</tr>
<tr>
<td valign="middle" align="left">Genus</td>
<td valign="middle" align="left"><italic>Lachnoclostridium</italic></td>
<td valign="middle" align="center">+1.3</td>
<td valign="middle" align="center">0.022</td>
</tr>
<tr>
<td valign="middle" align="left">Species</td>
<td valign="middle" align="left"><italic>Faecalibacterium prausnitzii</italic></td>
<td valign="middle" align="center">&#x2212;2.1</td>
<td valign="middle" align="center">0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Species</td>
<td valign="middle" align="left"><italic>Bacteroides stercoris</italic></td>
<td valign="middle" align="center">&#x2212;1.8</td>
<td valign="middle" align="center">0.005</td>
</tr>
<tr>
<td valign="middle" align="left">Species</td>
<td valign="middle" align="left"><italic>Erysipelatoclostridium ramosum</italic></td>
<td valign="middle" align="center">+1.6</td>
<td valign="middle" align="center">0.016</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Functional prediction analysis reveals altered metabolic pathways</title>
<p>Functional prediction analysis revealed significant perturbation in microbial metabolic functions in the AR-FC group compared to HCs. Pathways related to proteasome activity (<italic>P</italic>&#xa0;=&#xa0;0.01), bacterial chemotaxis (<italic>P</italic>&#xa0;=&#xa0;0.02), and ABC transporters (<italic>P</italic>&#xa0;=&#xa0;0.03) were upregulated. In contrast, lipopolysaccharide (LPS) biosynthesis (<italic>P</italic>&#xa0;=&#xa0;0.02) and glycosphingolipid metabolism (<italic>P</italic> =&#xa0;0.01) were suppressed (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>). Functional prediction analysis also revealed a notable finding: despite the marked depletion of key SCFA-producing taxa, KEGG pathways directly involved in SCFA biosynthesis, including propanoate metabolism (FDR-adjusted <italic>P</italic> &lt; 0.01) and butanoate metabolism (FDR-adjusted <italic>P</italic> &lt; 0.01), were significantly upregulated in the AR-FC group compared to HCs (<xref ref-type="supplementary-material" rid="SF1"><bold>Supplementary Figure S1</bold></xref>). This apparent discrepancy between taxonomic depletion and functional pathway enrichment may suggest compensatory upregulation of SCFA metabolic pathways in residual microbial populations, or alternatively, a dysregulated state where pathway transcription is decoupled from actual metabolite output.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Functional pathway alterations predicted using PICRUSt2 based on KEGG Orthology annotations. The AR-FC group showed upregulated proteasome pathways (P = 0.01) and downregulated lipopolysaccharide biosynthesis (P = 0.02) ( **P &lt; 0.01, ****P &lt; 0.0001; Wilcoxon test with FDR correction). Key pathways included enrichment of proteasome, bacterial chemotaxis, and ABC transporters and depletion of glycosphingolipid biosynthesis and lipoic acid metabolism(Linear discriminant analysis [LDA] &gt; 2.0, P &lt; 0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1639359-g004.tif">
<alt-text content-type="machine-generated">Nine box plots show relative abundance percentages for various metabolic pathways in HC and AR-FC groups. Pathways include proteasome, bacterial chemotaxis, and ABC transporters, among others. Each plot displays differences between HC (blue) and AR-FC (green) groups, indicating statistical significance with asterisks.</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Post-intervention outcomes</title>
<sec id="s4_1">
<label>4.1</label>
<title>Synbiotic intervention restores microbial balance</title>
<p>A 3-month synbiotic intervention (probiotics + dietary fiber) in 13 AR-FC children induced taxonomic shifts in the gut microbiota, though &#x3b2;-diversity changes were not statistically significant (PERMANOVA, P&#xa0;=&#xa0;0.12; PC1: 33.38% variance; <xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5B</bold></xref>). The intervention notably increased the relative abundance of <italic>Faecalibacterium</italic> by 54.8% (<italic>P</italic> &lt; 0.05), whereas <italic>Bifidobacterium</italic> levels decreased by 85.2% (<italic>P</italic> &lt; 0.05; <xref ref-type="fig" rid="f5"><bold>Figures&#xa0;5C&#x2013;D</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1</bold></xref>). A reduction of 12.3% was also observed in <italic>Escherichia&#x2013;Shigella</italic>, a known pathobiont, though this change did not reach statistical significance.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Post-intervention microbial changes. <bold>(A)</bold> &#x3b1;-diversity comparison pre- <italic>vs.</italic> post-intervention (Shannon index, <italic>P</italic>&#xa0;=&#xa0;0.84). <bold>(B)</bold> PCoA illustrating structural shifts in microbial communities pre- and post-intervention (PERMANOVA, P&#xa0;=&#xa0;0.12; PC1: 33.38% variance). <bold>(C)</bold> Genus-level abundance changes: <italic>Faecalibacterium</italic> increased by 54.8% (<italic>P</italic> &lt; 0.05), and <italic>Bifidobacterium</italic> decreased (<italic>P</italic> &lt; 0.05). <bold>(D)</bold> LDA analysis identified <italic>Faecalibacterium</italic> as a discriminant taxon post-intervention (LDA &gt; 2.0, <italic>P</italic> &lt; 0.05), consistent with its increased relative abundance.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1639359-g005.tif">
<alt-text content-type="machine-generated">Four-panel image displaying microbiome analysis:  1. Top left: Boxplot of Shannon diversity index showing similar diversity levels in pre and post samples, with a p-value of 0.84. 2. Top right: Bray&#x2013;Curtis PCA plot indicating variation in genus level, with distinct clustering of pre (yellow) and post (blue) samples. 3. Bottom left: Stacked bar graph showing relative abundance of bacterial genera in pre and post samples, with a color legend. 4. Bottom right: LDA bar chart highlighting differential abundance of features, with Streptococcus and Haemophilus increased post, and Bifidobacterium increased pre-treatment.</alt-text>
</graphic></fig>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Functional reprogramming following synbiotic treatment</title>
<p>Functional prediction analysis indicated a metabolic shift from carbohydrate-dominant pathways (e.g., heterolactic fermentation, <italic>P</italic>&#xa0;=&#xa0;0.008) toward enhanced lipid and sulfur metabolism after intervention. Specifically, Cis-vaccenate biosynthesis increased by 11.6% (<italic>P</italic>&#xa0;=&#xa0;0.03), and assimilatory sulfate reduction rose by 83.2% (<italic>P</italic>&#xa0;=&#xa0;0.04; <xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S2</bold></xref>). Conversely, &#x3b2;-lactam resistance-associated pathways decreased by 35.4% (<italic>P</italic>&#xa0;=&#xa0;0.03), suggesting reduced antibiotic resistance potential.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Changes in gut microbial metabolic pathways following synbiotic intervention. Functional prediction (PICRUSt2) illustrate the comparison between pre- and post-intervention states. The results show a shift from pre-intervention enrichment in carbohydrate metabolism pathways (e.g., heterolactic fermentation) toward post-intervention upregulation of lipid and sulfur metabolism (e.g., cis-vaccenate biosynthesis and assimilatory sulfate reduction). A reduction in &#x3b2;-lactam resistance pathways was also observed post-intervention. Statistical significance was determined by Linear Discriminant Analysis (LDA) score &gt; 2.0 and P &lt; 0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1639359-g006.tif">
<alt-text content-type="machine-generated">Bar chart showing linear discriminant analysis (LDA) scores for various pathways in pre and post conditions. Yellow bars represent pre conditions, and blue bars represent post conditions. Features listed include cis-vaccenate biosynthesis and TCA cycle I, among others, with bars extending on either side of the zero line, indicating their LDA values.</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s5" sec-type="discussion">
<label>5</label>
<title>Discussion</title>
<p>Our analysis revealed a distinct gut microbial signature in children with AR-FC comorbidity, characterized by reduced &#x3b1;-diversity (<italic>P</italic>&#xa0;=&#xa0;0.003) and significant &#x3b2;-diversity separation (PERMANOVA, <italic>P</italic>&#xa0;=&#xa0;0.002).A depletion of key SCFA-producing taxa, including <italic>Faecalibacterium prausnitzii</italic> and <italic>Bacteroides stercoris</italic>, was observed alongside an increase in <italic>Bifidobacterium</italic> abundance. (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2B</bold></xref>, <xref ref-type="fig" rid="f3"><bold>3B</bold></xref>). These findings are consistent with previous studies associating <italic>Faecalibacterium</italic> depletion with impaired mucosal barrier integrity and Th2-driven inflammatory responses in isolated AR or FC (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Furthermore, the significant separation in &#x3b2;-diversity (PERMANOVA, <italic>P</italic>&#xa0;=&#xa0;0.002) between the AR-FC and HC groups underscores that the comorbidity is associated with a distinct overall gut ecosystem structure, extending beyond the depletion of individual taxa.</p>
<p>The observed depletion of SCFA-producing taxa aligns with established mechanisms of immune dysregulation. Smith et&#xa0;al. (<xref ref-type="bibr" rid="B14">14</xref>) demonstrated that microbial-derived SCFAs regulate colonic Treg homeostasis via histone deacetylase (HDAC) inhibition, facilitating the expansion of Foxp<sup>3+</sup> Treg populations. This finding provides mechanistic validation for the inferred immune dysregulation in our cohort, where depletion of SCFA-producing taxa such as <italic>Faecalibacterium prausnitzii</italic> may be linked to impaired immune tolerance, as supported by established roles of SCFAs in Treg biology (<xref ref-type="bibr" rid="B14">14</xref>). Collectively, the observed depletion of SCFA-producing taxa and the associated functional pathway alterations in our cohort are consistent with the proposed microbiota&#x2013;SCFA&#x2013;immune axis paradigm (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B14">14</xref>) in the pathophysiology of AR-FC, though causal relationships require further validation. Additionally, the observed enrichment of <italic>Bifidobacterium</italic>(Log<sub>2</sub>FC = +1.5, <italic>P</italic>&#xa0;=&#xa0;0.018) in AR-FC subjects at baseline, despite its conventional association with constipation relief (<xref ref-type="bibr" rid="B1">1</xref>), raises critical questions about strain-specific effects. For example, <italic>Bifidobacterium longum</italic> BB536 has been shown to enhance cell-mediated immunity (<xref ref-type="bibr" rid="B15">15</xref>), whereas other <italic>Bifidobacterium</italic> strains may exert divergent effects under Th2-dominant inflammatory conditions (<xref ref-type="bibr" rid="B16">16</xref>). Such heterogeneity highlights the limitation of taxonomic generalization and underscores the need for strain-level resolution when designing probiotic interventions aimed at restoring both gastrointestinal and immune homeostasis.</p>
<p>Functional prediction analysis revealed a distinct metabolic profile in the AR-FC group, characterized by upregulated proteasome activity (<italic>P</italic>&#xa0;=&#xa0;0.01) and suppressed LPS biosynthesis (<italic>P</italic>&#xa0;=&#xa0;0.02). The increased proteasome activity may enhance luminal antigen processing, potentially promoting IgE sensitization&#x2014;a hallmark of AR pathophysiology (<xref ref-type="bibr" rid="B7">7</xref>). Conversely, suppressed LPS biosynthesis (<italic>P</italic> =&#xa0;0.02) may reflect impaired microbial stimulation of innate immunity, potentially reducing TLR4-mediated immune priming and predisposing children to pathogen colonization and chronic inflammation (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B9">9</xref>). An intriguing finding of our study was the significant upregulation of microbial butanoate and propanoate metabolism pathways in the AR-FC group, as predicted by PICRUSt2, despite a marked depletion of classic SCFA-producing taxa such as <italic>Faecalibacterium prausnitzii</italic>. This apparent paradox may be explained by several non-mutually exclusive mechanisms. First, microbial community resilience may drive residual taxa to upregulate SCFA-biosynthesis genes in a compensatory manner to maintain metabolic homeostasis&#x2014;though such efforts may be insufficient to offset the functional loss of high-efficiency SCFA producers. Second, the observed pathway enrichment may not translate into increased SCFA output due to post-transcriptional regulation, limited substrate availability, or disruption of cross-feeding networks essential for efficient SCFA synthesis. Such decoupling between genetic potential and actual metabolic flux has been documented in other dysbiotic conditions. Thus, the functional upregulation may reflect a futile compensatory response or a state of metabolic inefficiency, rather than true SCFA sufficiency. This interpretation, however, requires validation through direct metabolomic quantification of SCFAs in future studies. These findings collectively suggest that the gut microbiota may serve as a potential modulator of the &#x201c;gut-immune-nose axis,&#x201d; where dysbiosis is associated with disruptions in both mucosal and systemic immune homeostasis.</p>
<p>The 3-month synbiotic intervention did not induce significant changes in &#x3b1;- or &#x3b2;-diversity. However, several key taxonomic shifts were observed that were in the opposite direction to those seen when comparing HC with AR-FC patients. These included a 54.8% increase in <italic>Faecalibacterium</italic> abundance (<italic>P</italic> &lt; 0.05; <xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5C</bold></xref>) and an 85.2% decrease in <italic>Bifidobacterium</italic> abundance. This finding is consistent with the established role of <italic>Faecalibacterium prausnitzii</italic> as a primary butyrate producer, which enhances mucosal barrier integrity and promotes intestinal motility through SCFA-mediated mechanisms (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Although the current study did not directly quantify fecal SCFA levels, the observed <italic>Faecalibacterium</italic> enrichment, coupled with constipation relief, supports the hypothesis that synbiotic-induced microbial remodeling contributes to functional improvement. In a related study, Erhardt et&#xa0;al. (<xref ref-type="bibr" rid="B18">18</xref>) reported that a prebiotic intervention similarly increased fecal SCFA levels and enriched beneficial taxa including <italic>Bifidobacterium</italic> in subjects with functional constipation, reinforcing the role of fiber-driven microbial modulation in gastrointestinal health. However, the present study extends these observations by demonstrating a direct association between <italic>Faecalibacterium</italic> expansion and clinical symptom improvement in children with AR-FC comorbidity.</p>
<p>Our investigation identified a pronounced 85.2% reduction in <italic>Bifidobacterium</italic> abundance following synbiotic intervention. This reproducible pattern across distinct clinical cohorts (<xref ref-type="bibr" rid="B19">19</xref>) suggests that diminished <italic>Bifidobacterium</italic> levels may represent a potential microbial signature of effective constipation relief. The pronounced reduction in <italic>Bifidobacterium</italic> (&#x2212;85.2%) may reflect ecological niche competition, as Faecalibacterium and other fiber-fermenting taxa outcompete carbohydrate-preferring <italic>Bifidobacteria</italic> under high-fiber conditions (<xref ref-type="bibr" rid="B20">20</xref>). Although <xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5D</bold></xref> illustrates the post-intervention decline in <italic>Bifidobacterium</italic>, direct competitive interactions warrant further validation. This trade-off aligns with findings by Scott et&#xa0;al. (<xref ref-type="bibr" rid="B20">20</xref>), who demonstrated that <italic>Bifidobacterium adolescentis</italic> preferentially utilizes fructooligosaccharides over complex fibers. Such strain-specific substrate specialization underscores the importance of developing precision synbiotic formulations that selectively enrich beneficial taxa while preserving microbial ecosystem stability.</p>
<p>Notably, the intervention decreased <italic>Escherichia&#x2013;Shigella</italic>&#x2014;a pathobiont linked to intestinal inflammation&#x2014;by 12.3%, potentially through competitive exclusion mediated by <italic>Lactobacillus</italic> strains via bacteriocin production (<xref ref-type="bibr" rid="B21">21</xref>). Concomitantly, we observed a functional transition toward enhanced sulfur metabolism (e.g., an 83.2% increase in assimilatory sulfate reduction; <xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>) and a 35.4% reduction in &#x3b2;-lactam resistance pathways. While these metabolic shifts may reflect microbial adaptation to the synbiotic regime, their direct contribution to clinical symptom improvement remains speculative. Enhanced sulfur assimilation has been previously associated with improved redox homeostasis and mucosal protection (<xref ref-type="bibr" rid="B22">22</xref>), whereas the decrease in antibiotic resistance genes may indicate a reduction in potential pathogen load or a shift in microbial community structure under dietary modulation (<xref ref-type="bibr" rid="B23">23</xref>). Although prior studies have emphasized butyrate-centered mechanisms in microbiome-targeted therapies for AR (<xref ref-type="bibr" rid="B16">16</xref>), our synbiotic intervention appears to have induced a broader spectrum of metabolic changes beyond SCFA production. These functional changes, while mechanistically intriguing, should be interpreted with caution and validated in future studies incorporating metabolomic profiling and larger cohorts.</p>
<p>While the integrated taxonomic, functional, and interventional framework of this study provides valuable mechanistic insights, several limitations should be acknowledged. First, functional prediction analysis were inferred from 16S rRNA gene data using PICRUSt2, an approach that remains inherently predictive and hypothesis-generating rather than confirmatory. The absence of direct SCFA quantification via metabolomic techniques (e.g., LC&#x2013;MS) represents a key limitation; therefore, future investigations should incorporate targeted metabolomic validation to substantiate the inferred pathway alterations. Second, the cross-sectional study design constrains causal interpretation, underscoring the need for longitudinal analyses to monitor microbiota dynamics throughout AR-FC progression. Third, the relatively small intervention cohort (n = 13) and restricted age range (3&#x2013;7 years) limit generalizability and reduce statistical power to detect subtle phenotypic effects. Future studies should integrate multi-site cohorts and combine taxonomic, functional, and interventional profiling to comprehensively elucidate the microbiota&#x2013;SCFA&#x2013;immune axis in AR-FC comorbidity. Parallel characterization of the nasal (BALT-associated) and intestinal microbiota could delineate site-specific microbial signatures and their roles in disease interplay. Moreover, quantifying mucosal immune mediators&#x2014;such as secretory IgA (SIgA) and local cytokine networks&#x2014;in nasal and intestinal secretions would provide essential functional evidence of immune crosstalk (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Although beyond the current study&#x2019;s scope, such integrated immuno-metagenomic approaches are crucial to mechanistically link microbial alterations with host immune regulation.</p>
<p>Translational research should prioritize interventions that selectively promote the proliferation and functional activity of <italic>Faecalibacterium</italic>, potentially through synergistic probiotic formulations (e.g., <italic>Lactobacillus rhamnosus</italic> GG, known to foster a supportive microbial niche) combined with prebiotic substrates to augment SCFA biosynthesis while mitigating Th2-skewing immune responses. Preclinical validation using germ-free murine models colonized with AR-FC-derived microbiota could delineate causal relationships between <italic>Faecalibacterium</italic> depletion and nasal hypersensitivity. Future therapeutic strategies could explore optimized SCFAs delivery approaches to enhance local bioavailability in the colon, building upon established roles of butyrate in mucosal immunity (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B17">17</xref>). However, butyrate may not be the sole mediator of the observed effects; other SCFAs (e.g., propionate, acetate), shifts in sulfur metabolism, or competitive exclusion of pathobionts by probiotic strains may also contribute to the clinical outcomes (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>).</p>
</sec>
<sec id="s6" sec-type="conclusions">
<label>6</label>
<title>Conclusion</title>
<p>This study suggests that gut dysbiosis may represent a potential contributor to pediatric AR-FC comorbidity, marked by the depletion of SCFA-producing taxa (e.g., Faecalibacterium prausnitzii and Bacteroides stercoris) and functional shifts favoring proteasome activity over LPS biosynthesis, a pathway implicated in innate immune regulation. The synbiotic regimen induced taxonomic shifts, including enrichment of Faecalibacterium, which corresponded with constipation alleviation. Conversely, the paradoxical reduction in Bifidobacterium likely reflects competitive substrate utilization, positioning its depletion as a potential biomarker for successful intervention. Functional remodeling post-treatment&#x2014;including enhanced sulfur metabolism and suppression of antibiotic resistance pathways&#x2014;demonstrates the adaptive plasticity of gut microbiota under dietary modulation. These alterations implicate disrupted microbial-immune crosstalk along the microbiota&#x2013;SCFA&#x2013;immune axis. Translationally, the findings support a dual therapeutic framework: (1) restoration of SCFA-mediated mucosal immunity through targeted synbiotic formulations, and (2) optimization of dietary fiber composition to maintain commensal equilibrium and minimize ecological disruption. Collectively, these findings refine the mechanistic understanding of the microbiota&#x2013;SCFA&#x2013;immune axis and provide a foundation for precision microbiome-based therapeutics in pediatric AR-FC provides a well-rounded close linking mechanisms, translational value, and future potential.</p>
<p>Despite these advances, certain limitations, including the small cohort size and reliance on <italic>16S rRNA</italic>-based functional inference, necessitate validation through longitudinal, metagenomic, and metabolomic studies. Future interventions should emphasize strain-specific synbiotic formulations designed to promote <italic>Faecalibacterium</italic> expansion while preserving commensal <italic>Bifidobacterium</italic>.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="data-availability">
<title>Data availability statement</title>
<p>The data presented in the study are deposited in the NCBI Sequence Archive (SRA) database repository, accession number is PRJNA1098454. URL: <uri xlink:href="https://dataview.ncbi.nlm.nih.gov/object/PRJNA1098454?reviewer=4cijm90t0u9btm1plm1c7md86m">https://dataview.ncbi.nlm.nih.gov/object/PRJNA1098454?reviewer=4cijm90t0u9btm1plm1c7md86m</uri>.</p></sec>
<sec id="s8" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Longgang District Maternity and Child Healthcare Hospital. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants&#x2019; legal guardians/next of kin.</p></sec>
<sec id="s9" sec-type="author-contributions">
<title>Author contributions</title>
<p>WY: Data curation, Funding acquisition, Resources, Writing &#x2013; review &amp; editing, Conceptualization, Formal Analysis, Investigation, Supervision. XZ: Conceptualization, Data curation, Formal Analysis, Investigation, Writing &#x2013; review &amp; editing, Validation. BN: Formal Analysis, Methodology, Resources, Validation, Visualization, Writing &#x2013; review &amp; editing. HL: Conceptualization, Data curation, Investigation, Software, Supervision, Writing &#x2013; review &amp; editing. BW: Conceptualization, Data curation, Formal Analysis, Supervision, Validation, Writing &#x2013; review &amp; editing. CH: Data curation, Funding acquisition, Methodology, Project administration, Resources, Software, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>We thank all participants for their support. We thank the doctors and nurses of Longgang District Maternity &amp; Child Healthcare Hospital (Shenzhen, China) for assisting the research team in clinical examination and fecal sample collection. We also thank the authors who made their data publicly available. The authors would like to thank all the reviewers who participated in the review.</p>
</ack>
<sec id="s11" 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="s12" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s13" 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="s14" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2025.1639359/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2025.1639359/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.xlsx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="SupplementaryFile1.docx" id="SF1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Functional prediction of altered microbial metabolic pathways in children with AR-FC compared to healthy controls (HC) at baseline. The figure displays KEGG pathways that were differentially abundant between the AR-FC and HC groups, as predicted by PICRUSt2 analysis of 16S rRNA gene sequencing data. Pathway enrichment and depletion were assessed using the Wilcoxon rank-sum test with false discovery rate (FDR) correction (adjusted <italic>P</italic> &lt; 0.05). Pathways related to SCFA biosynthesis, including butanoate and propanoate metabolism (both significantly upregulated in AR-FC, FDR-adjusted <italic>P</italic> &lt; 0.01), are indicated. The asterisks denote statistical significance based on FDR-adjusted <italic>P</italic>-values: *<italic>P</italic> &lt; 0.05, **<italic>P</italic> &lt; 0.01, ***<italic>P</italic> &lt; 0.001.</p>
</caption></supplementary-material></sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Vriesman</surname> <given-names>MH</given-names></name>
<name><surname>Rajindrajith</surname> <given-names>S</given-names></name>
<name><surname>Koppen</surname> <given-names>IJN</given-names></name>
<name><surname>van Etten-Jamaludin</surname> <given-names>FS</given-names></name>
<name><surname>van Dijk</surname> <given-names>M</given-names></name>
<name><surname>Devanarayana</surname> <given-names>NM</given-names></name>
<etal/>
</person-group>. 
<article-title>Quality of life in children with functional constipation:A systematic review and meta-analysis</article-title>. <source>J Pediatr</source>. (<year>2019</year>) <volume>214</volume>:<page-range>141&#x2013;50</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jpeds.2019.06.059</pub-id>, PMID: <pub-id pub-id-type="pmid">31399248</pub-id>
</mixed-citation>
</ref>
<ref id="B2">
<label>2</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Hu</surname> <given-names>Y</given-names></name>
<name><surname>Zhang</surname> <given-names>R</given-names></name>
<name><surname>Li</surname> <given-names>J</given-names></name>
<name><surname>Wang</surname> <given-names>H</given-names></name>
<name><surname>Wang</surname> <given-names>M</given-names></name>
<name><surname>Ren</surname> <given-names>Q</given-names></name>
<etal/>
</person-group>. 
<article-title>Association between gut and nasal microbiota and allergic rhinitis: A systematic review</article-title>. <source>J Asthma Allergy</source>. (<year>2024</year>) <volume>17</volume>:<page-range>633&#x2013;51</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2147/JAA.S472632</pub-id>, PMID: <pub-id pub-id-type="pmid">39006241</pub-id>
</mixed-citation>
</ref>
<ref id="B3">
<label>3</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Hu</surname> <given-names>B</given-names></name>
<name><surname>Kuang</surname> <given-names>Y</given-names></name>
<name><surname>Jing</surname> <given-names>Y</given-names></name>
<name><surname>Li</surname> <given-names>Y</given-names></name>
<name><surname>Zhao</surname> <given-names>H</given-names></name>
<name><surname>Ouyang</surname> <given-names>H</given-names></name>
</person-group>. 
<article-title>Pediatricallergic rhinitis with functional gastrointestinal disease: Associations with the intestinal microbiota and gastrointestinal peptides and therapeutic effects of interventions</article-title>. <source>Hum Exp Toxicol</source>. (<year>2021</year>) <volume>40</volume>:<page-range>2012&#x2013;21</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1177/09603271211017325</pub-id>, PMID: <pub-id pub-id-type="pmid">34018444</pub-id>
</mixed-citation>
</ref>
<ref id="B4">
<label>4</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Avelar Rodriguez</surname> <given-names>D</given-names></name>
<name><surname>Popov</surname> <given-names>J</given-names></name>
<name><surname>Ratcliffe</surname> <given-names>EM</given-names></name>
<name><surname>Toro Monjaraz</surname> <given-names>EM</given-names></name>
</person-group>. 
<article-title>Functional constipation and the gut microbiome in children: preclinical and clinical evidence</article-title>. <source>Front Pediatr</source>. (<year>2021</year>) <volume>8</volume>:<elocation-id>595531</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fped.2020.595531</pub-id>, PMID: <pub-id pub-id-type="pmid">33553067</pub-id>
</mixed-citation>
</ref>
<ref id="B5">
<label>5</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Chiu</surname> <given-names>CY</given-names></name>
<name><surname>Cheng</surname> <given-names>ML</given-names></name>
<name><surname>Chiang</surname> <given-names>MH</given-names></name>
<name><surname>Kuo</surname> <given-names>YL</given-names></name>
<name><surname>Tsai</surname> <given-names>MH</given-names></name>
<name><surname>Chiu</surname> <given-names>CC</given-names></name>
<etal/>
</person-group>. 
<article-title>Gut microbial-derived butyrate is inversely associated with IgE responses to allergens in childhood asthma</article-title>. <source>Pediatr Allergy Immunol</source>. (<year>2019</year>) <volume>30</volume>:<page-range>689&#x2013;97</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/pai.13096</pub-id>, PMID: <pub-id pub-id-type="pmid">31206804</pub-id>
</mixed-citation>
</ref>
<ref id="B6">
<label>6</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Yamaguchi</surname> <given-names>T</given-names></name>
<name><surname>Nomura</surname> <given-names>A</given-names></name>
<name><surname>Matsubara</surname> <given-names>A</given-names></name>
<name><surname>Hisada</surname> <given-names>T</given-names></name>
<name><surname>Tamada</surname> <given-names>Y</given-names></name>
<name><surname>Mikami</surname> <given-names>T</given-names></name>
<etal/>
</person-group>. 
<article-title>Effect of gut microbial composition and diversity on major inhaled allergen sensitization and onset of allergic rhinitis</article-title>. <source>Allergol Int</source>. (<year>2023</year>) <volume>72</volume>:<page-range>135&#x2013;42</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.alit.2022.06.005</pub-id>, PMID: <pub-id pub-id-type="pmid">35850746</pub-id>
</mixed-citation>
</ref>
<ref id="B7">
<label>7</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Zhang</surname> <given-names>S</given-names></name>
<name><surname>Wang</surname> <given-names>R</given-names></name>
<name><surname>Li</surname> <given-names>D</given-names></name>
<name><surname>Zhao</surname> <given-names>L</given-names></name>
<name><surname>Zhu</surname> <given-names>L</given-names></name>
</person-group>
<article-title>Role of gut microbiota in functional constipation</article-title>. <source>Gastroenterol Rep (Oxf)</source>. (<year>2021</year>) <volume>9</volume>:<fpage>392</fpage>&#x2013;<lpage>401</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/gastro/goab035</pub-id>, PMID: <pub-id pub-id-type="pmid">34733524</pub-id>
</mixed-citation>
</ref>
<ref id="B8">
<label>8</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Lin</surname> <given-names>YH</given-names></name>
<name><surname>Li</surname> <given-names>JY</given-names></name>
<name><surname>Li</surname> <given-names>YJ</given-names></name>
</person-group>. 
<article-title>Metagenome-wide association of gut microbiome features in children with moderate-severe house dust mite allergic rhinitis</article-title>. <source>J Clin Otorhinolaryngol Head Neck Surg(China)</source>. (<year>2022</year>) <volume>36</volume>:<page-range>533&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.13201/j.issn.2096-7993.2022.07.011</pub-id>, PMID: <pub-id pub-id-type="pmid">35822382</pub-id>
</mixed-citation>
</ref>
<ref id="B9">
<label>9</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Erhardt</surname> <given-names>R</given-names></name>
<name><surname>Harnett</surname> <given-names>JE</given-names></name>
<name><surname>Steels</surname> <given-names>E</given-names></name>
<name><surname>Steadman</surname> <given-names>KJ</given-names></name>
</person-group>. 
<article-title>Functional constipation and the effect of prebiotics on the gut microbiota: a review</article-title>. <source>Br J Nutr</source>. (<year>2023</year>) <volume>130</volume>:<page-range>1015&#x2013;23</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1017/S0007114522003853</pub-id>, PMID: <pub-id pub-id-type="pmid">36458339</pub-id>
</mixed-citation>
</ref>
<ref id="B10">
<label>10</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Su</surname> <given-names>YJ</given-names></name>
<name><surname>Luo</surname> <given-names>SD</given-names></name>
<name><surname>Hsu</surname> <given-names>CY</given-names></name>
<name><surname>Kuo</surname> <given-names>HC</given-names></name>
</person-group>. 
<article-title>Differences in gut microbiota between allergic rhinitis, atopic dermatitis, and skin urticaria: A pilot study</article-title>. <source>Med (Baltimore)</source>. (<year>2021</year>) <volume>100</volume>:<elocation-id>e25091</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1097/MD.0000000000025091</pub-id>, PMID: <pub-id pub-id-type="pmid">33655988</pub-id>
</mixed-citation>
</ref>
<ref id="B11">
<label>11</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author"><collab>Subspecialty Group of Rhinology</collab><collab>Editorial Board of Chinese Journal of Otorhinolaryngology Head and Neck Surgery</collab><collab>Subspecialty Group of Rhinology</collab><collab>Society of Otorhinolaryngology Head and Neck SurgeryChinese Medical Association</collab>
</person-group>. 
<article-title>Chinese guidelines for diagnosis and treatment ofallergic rhinitis (2022, revision)</article-title>. <source>Chin J Otorhinolaryngol Head Neck Surg</source>. (<year>2022</year>) <volume>57</volume>:<fpage>8</fpage>&#x2013;<lpage>31</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3760/cma.j.cn115330-20211228-00828</pub-id>, PMID: <pub-id pub-id-type="pmid">35078291</pub-id>
</mixed-citation>
</ref>
<ref id="B12">
<label>12</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Drossman</surname> <given-names>DA</given-names></name>
<name><surname>Hasler</surname> <given-names>WL</given-names></name>
</person-group>. 
<article-title>Rome IV&#x2014;functional GI disorders: disorders of gut-brain interaction</article-title>. <source>Gastroenterology</source>. (<year>2016</year>) <volume>150</volume>:<page-range>1257&#x2013;61</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1053/j.gastro.2016.03.035</pub-id>, PMID: <pub-id pub-id-type="pmid">27147121</pub-id>
</mixed-citation>
</ref>
<ref id="B13">
<label>13</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Faul</surname> <given-names>F</given-names></name>
<name><surname>Erdfelder</surname> <given-names>E</given-names></name>
<name><surname>Lang</surname> <given-names>AG</given-names></name>
<name><surname>Buchner</surname> <given-names>A</given-names></name>
</person-group>. 
<article-title>G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences</article-title>. <source>Behav Res Methods</source>. (<year>2007</year>) <volume>39</volume>:<page-range>175&#x2013;91</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3758/bf03193146</pub-id>, PMID: <pub-id pub-id-type="pmid">17695343</pub-id>
</mixed-citation>
</ref>
<ref id="B14">
<label>14</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Smith</surname> <given-names>PM</given-names></name>
<name><surname>Howitt</surname> <given-names>MR</given-names></name>
<name><surname>Panikov</surname> <given-names>N</given-names></name>
<name><surname>Michaud</surname> <given-names>M</given-names></name>
<name><surname>Gallini</surname> <given-names>CA</given-names></name>
<name><surname>Bohlooly</surname> <given-names>YM</given-names></name>
<etal/>
</person-group>. 
<article-title>The microbial metabolites, short-chain fatty acids, regulate colonic Treg cell homeostasis</article-title>. <source>Science</source>. (<year>2013</year>) <volume>341</volume>:<page-range>569&#x2013;73</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1126/science.1241165</pub-id>, PMID: <pub-id pub-id-type="pmid">23828891</pub-id>
</mixed-citation>
</ref>
<ref id="B15">
<label>15</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Namba</surname> <given-names>K</given-names></name>
<name><surname>Hatano</surname> <given-names>M</given-names></name>
<name><surname>Yaeshima</surname> <given-names>T</given-names></name>
<name><surname>Takase</surname> <given-names>M</given-names></name>
<name><surname>Suzuki</surname> <given-names>K</given-names></name>
</person-group>. 
<article-title>Effects of Bifidobacterium longum BB536 administration on influenza infection, influenza vaccine antibody titer, and cell-mediated immunity in the elderly</article-title>. <source>Biosci Biotechnol Biochem</source>. (<year>2010</year>) <volume>74</volume>:<page-range>939&#x2013;45</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1271/bbb.90749</pub-id>, PMID: <pub-id pub-id-type="pmid">20460726</pub-id>
</mixed-citation>
</ref>
<ref id="B16">
<label>16</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Galvan Calle</surname> <given-names>CA</given-names></name>
<name><surname>D&#xed;az V&#xe1;squez</surname> <given-names>C</given-names></name>
<name><surname>Mu&#xf1;oz Leon</surname> <given-names>R</given-names></name>
<name><surname>Matos Benavides</surname> <given-names>EE</given-names></name>
<name><surname>Verde Leon</surname> <given-names>AV</given-names></name>
</person-group>
<article-title>Clinical efficacy of synbiotics in children with allergic rhinitis: An observational cohort study from a private medical center in Peru</article-title>. <source>Immun Inflammation Dis</source>. (<year>2022</year>) <volume>10</volume>:<elocation-id>e736</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/iid3.736</pub-id>, PMID: <pub-id pub-id-type="pmid">36444623</pub-id>
</mixed-citation>
</ref>
<ref id="B17">
<label>17</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Ford</surname> <given-names>AC</given-names></name>
<name><surname>Quigley</surname> <given-names>EM</given-names></name>
<name><surname>Lacy</surname> <given-names>BE</given-names></name>
<name><surname>Lembo</surname> <given-names>AJ</given-names></name>
<name><surname>Saito</surname> <given-names>YA</given-names></name>
<name><surname>Schiller</surname> <given-names>LR</given-names></name>
<etal/>
</person-group>. 
<article-title>Efficacy of prebiotics, probiotics, and synbiotics in irritable bowel syndrome and chronic idiopathic constipation: systematic review and meta-analysis</article-title>. <source>Am J Gastroenterol</source>. (<year>2014</year>) <volume>109</volume>:<fpage>1547</fpage>&#x2013;<lpage>61; quiz 1546, 1562</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/ajg.2014.202</pub-id>, PMID: <pub-id pub-id-type="pmid">25070051</pub-id>
</mixed-citation>
</ref>
<ref id="B18">
<label>18</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Erhardt</surname> <given-names>R</given-names></name>
<name><surname>Steels</surname> <given-names>E</given-names></name>
<name><surname>Harnett</surname> <given-names>JE</given-names></name>
<name><surname>Taing</surname> <given-names>MW</given-names></name>
<name><surname>Steadman</surname> <given-names>KJ</given-names></name>
</person-group>. 
<article-title>Effects of a prebiotic formulation on the composition of the faecal microbiota of people with functional constipation</article-title>. <source>Eur J Nutr</source>. (<year>2024</year>) <volume>63</volume>:<page-range>777&#x2013;84</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00394-023-03292-9</pub-id>, PMID: <pub-id pub-id-type="pmid">38165420</pub-id>
</mixed-citation>
</ref>
<ref id="B19">
<label>19</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Huang</surname> <given-names>C</given-names></name>
<name><surname>Lyu</surname> <given-names>J</given-names></name>
<name><surname>Chu</surname> <given-names>C</given-names></name>
<name><surname>Ge</surname> <given-names>L</given-names></name>
<name><surname>Peng</surname> <given-names>Y</given-names></name>
<name><surname>Yang</surname> <given-names>Z</given-names></name>
<etal/>
</person-group>. 
<article-title>Corrigendum: Dietary fiber and probiotics based on gut microbiota targeting for functional constipation in children with cerebral palsy</article-title>. <source>Front Pediatr</source>. (<year>2022</year>) <volume>10</volume>:<elocation-id>1001789</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fped.2022.1001789</pub-id>, PMID: <pub-id pub-id-type="pmid">36479280</pub-id>
</mixed-citation>
</ref>
<ref id="B20">
<label>20</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Scott</surname> <given-names>KP</given-names></name>
<name><surname>Martin</surname> <given-names>JC</given-names></name>
<name><surname>Duncan</surname> <given-names>SH</given-names></name>
<name><surname>Flint</surname> <given-names>HJ</given-names></name>
</person-group>. 
<article-title>Prebiotic stimulation of human colonic butyrate-producing bacteria and Bifidobacteria, <italic>in vitro</italic></article-title>. <source>FEMS Microbiol Ecol</source>. (<year>2014</year>) <volume>87</volume>:<fpage>30</fpage>&#x2013;<lpage>40</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/1574-6941.12186</pub-id>, PMID: <pub-id pub-id-type="pmid">23909466</pub-id>
</mixed-citation>
</ref>
<ref id="B21">
<label>21</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Cotter</surname> <given-names>PD</given-names></name>
<name><surname>Hill</surname> <given-names>C</given-names></name>
<name><surname>Ross</surname> <given-names>RP</given-names></name>
</person-group>. 
<article-title>Bacteriocins: developing innate immunity for food</article-title>. <source>Nat Rev Microbiol</source>. (<year>2005</year>) <volume>3</volume>:<page-range>777&#x2013;88</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nrmicro1273</pub-id>, PMID: <pub-id pub-id-type="pmid">16205711</pub-id>
</mixed-citation>
</ref>
<ref id="B22">
<label>22</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Dordevi&#x107;</surname> <given-names>D</given-names></name>
<name><surname>Jan&#x10d;&#xed;kov&#xe1;</surname> <given-names>S</given-names></name>
<name><surname>V&#xed;t&#x11b;zov&#xe1;</surname> <given-names>M</given-names></name>
<name><surname>Kushkevych</surname> <given-names>I</given-names></name>
</person-group>. 
<article-title>Hydrogen sulfide toxicity in the gut environment: Meta-analysis of sulfate-reducing and lactic acid bacteria in inflammatory processes</article-title>. <source>J Adv Res</source>. (<year>2020</year>) <volume>27</volume>:<fpage>55</fpage>&#x2013;<lpage>69</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jare.2020.03.003</pub-id>, PMID: <pub-id pub-id-type="pmid">33318866</pub-id>
</mixed-citation>
</ref>
<ref id="B23">
<label>23</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>McInnes</surname> <given-names>RS</given-names></name>
<name><surname>McCallum</surname> <given-names>GE</given-names></name>
<name><surname>Lamberte</surname> <given-names>LE</given-names></name>
<name><surname>van Schaik</surname> <given-names>W</given-names></name>
</person-group>. 
<article-title>Horizontal transfer of antibiotic resistance genes in the human gut microbiome</article-title>. <source>Curr Opin Microbiol</source>. (<year>2020</year>) <volume>53</volume>:<fpage>35</fpage>&#x2013;<lpage>43</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.mib.2020.02.002</pub-id>, PMID: <pub-id pub-id-type="pmid">32143027</pub-id>
</mixed-citation>
</ref>
<ref id="B24">
<label>24</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Dos Santos</surname> <given-names>JMB</given-names></name>
<name><surname>Soares</surname> <given-names>CP</given-names></name>
<name><surname>Monteiro</surname> <given-names>FR</given-names></name>
<name><surname>Mello</surname> <given-names>R</given-names></name>
<name><surname>do Amaral</surname> <given-names>JB</given-names></name>
<name><surname>Aguiar</surname> <given-names>AS</given-names></name>
<etal/>
</person-group>. 
<article-title>In nasal mucosal secretions, distinct IFN and IgA responses are found in severe and mild SARS-CoV-2 infection</article-title>. <source>Front Immunol</source>. (<year>2021</year>) <volume>12</volume>:<elocation-id>595343</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2021.595343</pub-id>, PMID: <pub-id pub-id-type="pmid">33717074</pub-id>
</mixed-citation>
</ref>
<ref id="B25">
<label>25</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Holvoet</surname> <given-names>S</given-names></name>
<name><surname>Zuercher</surname> <given-names>AW</given-names></name>
<name><surname>Julien-Javaux</surname> <given-names>F</given-names></name>
<name><surname>Perrot</surname> <given-names>M</given-names></name>
<name><surname>Mercenier</surname> <given-names>A</given-names></name>
</person-group>
<article-title>Characterization of candidate anti-allergic probiotic strains in a model of th2-skewed human peripheral blood mononuclear cells</article-title>. <source>Int Arch Allergy Immunol</source>. (<year>2013</year>) <volume>161</volume>:<page-range>142&#x2013;54</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1159/000343703</pub-id>, PMID: <pub-id pub-id-type="pmid">23343780</pub-id>
</mixed-citation>
</ref>
</ref-list>
<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2047013">Igor Kaidashev</ext-link>, Poltava State Medical University, Ukraine</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/109153">Nadiya V. Boyko</ext-link>, Uzhhorod National University, Ukraine</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3150379">Ellen De Paepe</ext-link>, Ghent University, Belgium</p></fn>
</fn-group>
</back>
</article>