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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2025.1649995</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Functional constipation in Chinese infants: disruptions in gut microbiota and urinary metabolome revealed by a cross-sectional analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Haihong</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2071579/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Lu</surname>
<given-names>Xiuxia</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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<contrib contrib-type="author">
<name>
<surname>Lou</surname>
<given-names>Hua</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Ye</surname>
<given-names>Yanbin</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
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<contrib contrib-type="author">
<name>
<surname>Ye</surname>
<given-names>Hui</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Weiwei</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Long</surname>
<given-names>Ziyu</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Xuezhi</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wu</surname>
<given-names>Jieling</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Ji</given-names>
</name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c003"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Department of Traditional Chinese Medicine and Integrative Medicine, Peking University First Hospital, Peking University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Children&#x2019;s Health Care, Guangdong Women and Children Hospital</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Hepatobiliary Spleen and Gastroenterology, Zhengzhou Hospital of Traditional Chinese Medicine, Henan University of Chinese Medicine</institution>, <addr-line>Zhengzhou</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Faculty of Chinese Medicine Science, Guangxi University of Chinese Medicine</institution>, <addr-line>Nanning</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>National Institute of Traditional Chinese Medicine Constitution and Preventive Treatment of Disease, Beijing University of Chinese Medicine</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/959145/overview">Mingsong Kang</ext-link>, Canadian Food Inspection Agency (CFIA), Canada</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2108983/overview">Naciye Cigdem Arslan</ext-link>, Istanbul Medipol University, T&#x00FC;rkiye</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1858650/overview">Miljana Z. Jovandaric</ext-link>, University of Belgrade, Serbia</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Xuezhi Zhang, <email>zhang.xuezhi@263.net</email></corresp>
<corresp id="c002">Jieling Wu, <email>jieling3861@163.com</email></corresp>
<corresp id="c003">Ji Wang, <email>doctorwang2009@126.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>03</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1649995</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Zhao, Lu, Lou, Ye, Ye, Li, Long, Zhang, Wu and Wang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zhao, Lu, Lou, Ye, Ye, Li, Long, Zhang, Wu and Wang</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 id="sec1">
<title>Background</title>
<p>Functional constipation (FC) is regarded as the most prevalent functional gastrointestinal disorder among children and is closely related to the intestinal microbiota. Nevertheless, there is a paucity of data regarding this relationship in Chinese infants.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>In this study, we investigated the alterations in gut microbiota of 79 FC infants under 2&#x202F;years of age in China, using 31 balanced non-constipated (BC) children as controls. Some clinical parameters were evaluated, fecal microbiota was analyzed using 16S rRNA gene sequencing, and urinary metabolites were profiled via UPLC-Q-TOF/MS method.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>Children with FC demonstrated significantly lower stool scale scores compared to BC group. Significant differences were observed in both microbial community composition and metabolite profiles between the FC and BC groups. The characteristic microbiota of the FC group included <italic>Prevotella</italic>, <italic>Alistipes</italic>, <italic>Collinsella</italic> and <italic>Eggerthella</italic>, associated with dietary fiber degradation, short-chain fatty acid and bile acid conversion, and participated in sphingolipid, thiamine, and glutathione metabolism. A combined biomarker exhibited excellent capacity in distinguishing FC from BC.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>This study offers new insights into the gut microbiota and metabolomic profiles associated with FC in young children, particularly that glutathione metabolism may be a new pathway for infant constipation, underscoring the potential for developing innovative therapeutic strategies through the integration of multi-omics approaches.</p>
</sec>
</abstract>
<kwd-group>
<kwd>age</kwd>
<kwd>functional constipation</kwd>
<kwd>gut microbiota</kwd>
<kwd>infant</kwd>
<kwd>urinary metabolome</kwd>
</kwd-group>
<contract-num rid="cn1">zyyzdxk-2023251</contract-num>
<contract-num rid="cn2">National TCM Human Education Letter 2022 No. 6</contract-num>
<contract-sponsor id="cn1">High level Key Discipline of National Administration of Traditional Chinese Medicine-Traditional Chinese constitutional Medicine</contract-sponsor>
<contract-sponsor id="cn2">Chief Scientist Program of National Administration of Traditional Chinese Medicine Leading Talents Support Program</contract-sponsor>
<counts>
<fig-count count="7"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="40"/>
<page-count count="14"/>
<word-count count="7133"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Microorganisms in Vertebrate Digestive Systems</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<label>1</label>
<title>Introduction</title>
<p>Functional constipation (FC) represents a prevalent bowel disorder worldwide, affecting individuals across all age groups. It is defined by recurrent symptoms of infrequent stools, difficulty in stool passage, or a sensation of incomplete evacuation. Beyond its gastrointestinal manifestations, FC has been associated with various systemic conditions, including colorectal cancer and cardiovascular diseases (<xref ref-type="bibr" rid="ref40">Wu X. et al., 2024</xref>). In pediatric populations, organic causes of constipation are exceedingly rare, with epidemiological studies indicating that over 90% of cases are attributed to functional origins. Globally, the prevalence of FC in children, when diagnosed according to the Rome IV criteria, is estimated at 14.4% (<xref ref-type="bibr" rid="ref30">Tran and Sintusek, 2023</xref>). This condition stands as the most common gastrointestinal disorder in children, with the majority of cases emerging during infancy and toddlerhood (<xref ref-type="bibr" rid="ref5">Chogle et al., 2016</xref>; <xref ref-type="bibr" rid="ref17">Malowitz et al., 2016</xref>; <xref ref-type="bibr" rid="ref1">Benninga et al., 2016</xref>). The long-term implications of untreated or inadequately managed childhood constipation are significant. It has been reported that approximately 25% of affected individuals may experience persistent symptoms extending into adulthood, leading to substantial impairments in quality of life (<xref ref-type="bibr" rid="ref25">Pijpers et al., 2010</xref>). Early recognition and appropriate intervention are therefore critical in mitigating both the immediate and long-term burdens of this condition.</p>
<p>The infant gut microbiota plays a pivotal role in shaping health across various developmental stages and exerts long-term influences throughout life (<xref ref-type="bibr" rid="ref24">Pantazi et al., 2025</xref>; <xref ref-type="bibr" rid="ref27">Sarkar et al., 2021</xref>). In this study, we conducted a cross-sectional analysis involving children aged 0&#x2013;2&#x202F;years, recruiting participants with FC as well as those without FC (referred to as BC for balanced/healthy controls). Fecal and urinary samples were collected from these participants and analyzed. This dual approach was utilized to characterize the gut microbiota profiles in FC children and to elucidate the underlying metabolic mechanisms associated with this condition. The findings may provide critical insights for developing targeted interventions and improving clinical outcomes in pediatric populations affected by FC.</p>
</sec>
<sec sec-type="materials|methods" id="sec6">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec7">
<label>2.1</label>
<title>Study design and participants information</title>
<p>This study adopted a cross-sectional research design. Children aged 0&#x2013;2&#x202F;years from Guangdong and Beijing, China, were recruited through poster posting and social media from November 2020 to April 2023. FC was diagnosed according to the Rome IV criteria, which require the presence of at least two of the following symptoms for a minimum of 1&#x202F;month: (1) two or fewer defecations per week; (2) a history of excessive stool retention; (3) a history of painful or hard bowel movements; (4) a history of large-diameter stools; (5) the presence of a large fecal mass in the rectum. For toilet-trained children, additional criteria include: (1) at least one episode of fecal incontinence per week after acquiring toileting skills; (2) a history of large-diameter stools that have obstructed the toilet. These standardized criteria ensure accurate identification of FC in pediatric populations (<xref ref-type="bibr" rid="ref27">Sarkar et al., 2021</xref>). BC children referred to those who did not suffer from constipation and were classified as having a balanced constitution according to the Constitutional Medicine Questionnaires (<xref ref-type="bibr" rid="ref37">Wang et al., 2019</xref>); FC children were classified as having a constitution other than a balanced one.</p>
<p>Children classified as FC and BC were included in the fecal flora and urinary metabolomics study. Participants who had used antibiotics or probiotics within 3&#x202F;months prior to sample collection, undergone gastrointestinal surgery, or suffered from neuropsychiatric disorders or other severe conditions were excluded from the study. The study was approved by the Ethics Committee of Beijing University of Chinese Medicine (Approval No. 2020BZYLL122). All guardians of the subjects were provided with detailed information regarding the trial procedures and provided written informed consent. The study flow chart was presented in <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>The study flow chart. FC, functional constipation; BC, balanced controls.</p>
</caption>
<graphic xlink:href="fmicb-16-1649995-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Flowchart depicting a study design with 110 participants divided into 79 FC children and 31 BC children. Data collection includes clinical information, fecal samples for 16S rRNA sequencing, and urine samples for UPLC-Q-TOF/MS metabolomics. Clinical data covers age, gender, delivery mode, feeding pattern, Bristol Stool Scale, and family history of constipation. The analysis involves correlation analysis and ROC prediction. Three urine samples are missing.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec8">
<label>2.2</label>
<title>Fecal sample collection, DNA extraction and 16S rRNA sequencing</title>
<p>Fecal samples were collected and processed following standardized procedures, as previously described (<xref ref-type="bibr" rid="ref15">Lv et al., 2023</xref>). Initially, the child&#x2019;s guardian collected freshly produced, urine-free fecal samples at home and transported them to the hospital within 1&#x202F;h, maintaining low temperatures using an ice pack. Upon arrival, the samples were immediately flash-frozen in liquid nitrogen and subsequently stored at &#x2212;80 &#x00B0;C for long-term preservation. Genomic DNA was extracted from the fecal samples using the CTAB/SDS method. The quality and concentration of the extracted DNA were assessed via agarose gel electrophoresis. The hypervariable V3&#x2013;V4 region of the 16S rRNA gene was amplified through PCR, and the resulting amplicons were purified to construct sequencing libraries. Finally, the libraries were sequenced on the Illumina MiSeq platform to generate high-throughput sequencing data for analysis.</p>
</sec>
<sec id="sec9">
<label>2.3</label>
<title>Gut microbiota analysis</title>
<p>Sequencing analysis was performed using the UPARSE software following the merging of paired-end reads and assignment to respective samples. Sequences with similarity &#x2265;97% were grouped into the same operational taxonomic unit (OTU). The &#x03B1; and &#x03B2; diversity of the microbial community were evaluated using QIIME software. To identify differentially abundant microbial taxa, LEfSe analysis was conducted, with a threshold of LDA score &#x003E; 2.0. Additionally, PICRUSt software was employed to predict functional differences by analyzing gene composition based on the KEGG database.</p>
</sec>
<sec id="sec10">
<label>2.4</label>
<title>Urine samples collection and UPLC-Q-TOF/MS processing</title>
<p>The middle portion of morning urine was collected at home by the child&#x2019;s guardian and transported to the hospital within 1&#x202F;h, maintained at a low temperature using an ice pack. Upon arrival, the samples were centrifuged, and the supernatant was removed for rapid freezing and stored at &#x2212;80 &#x00B0;C. For metabolite extraction, the supernatant samples were shipped on dry ice to Shanghai Applied Protein Technology Co., Ltd. for further processing (<xref ref-type="bibr" rid="ref38">Wen et al., 2021</xref>). Briefly, the samples were thawed, mixed with methanol/acetonitrile solvent, sonicated, and centrifuged. The resulting supernatant was collected and dried, then reconstituted in acetonitrile/water solvent, vortexed, and centrifuged again. Finally, the last supernatant was analyzed using ultra-high-performance liquid chromatography (UHPLC) coupled with quadrupole time-of-flight mass spectrometry (Q-TOF MS) employing a TOF 5600+ system. This comprehensive workflow ensured accurate and reliable metabolomic profiling of the urine samples.</p>
</sec>
<sec id="sec11">
<label>2.5</label>
<title>Metabonomics data analysis</title>
<p>For data analysis, the mzXML format was utilized for data processing (<xref ref-type="bibr" rid="ref4">Chambers et al., 2021</xref>). XCMS was applied for peak alignment, retention time correction, and peak area extraction (<xref ref-type="bibr" rid="ref12">Jia et al., 2018</xref>). Subsequently, the data underwent metabolite structure identification and preprocessing, followed by quality evaluation of experimental data and final statistical analysis. Univariate analysis, exemplified by fold change analysis, was employed as one of the most commonly used statistical methods. Orthogonal partial least squares discriminant analysis (OPLS-DA) was conducted for multivariate analysis to identify global metabolic differences between the FC and BC groups. The variable importance in projection (VIP) was used to determine characteristic metabolites in the two groups. MetaboAnalyst web software was utilized for metabolic pathway analysis, and Fisher&#x2019;s exact test was applied to evaluate the significance level of enriched pathways.</p>
</sec>
<sec id="sec12">
<label>2.6</label>
<title>Correlation analysis, biomarker identification and statistical analysis</title>
<p>Spearman analysis were utilized to show the correlation between differential flora and metabolites in the two groups by R and Cytoscape software. The area under a receiver operating characteristic (ROC) curve (AUC) was adopted to mine markers of flora and metabolites in FC children. Statistical analyses were performed using SPSS and GraphPad Prism software. <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05 was taken as a significant difference.</p>
</sec>
</sec>
<sec sec-type="results" id="sec13">
<label>3</label>
<title>Results</title>
<sec id="sec14">
<label>3.1</label>
<title>Clinical information collection of participants</title>
<p>A total of 79 FC children and 31 BC children were enrolled in the study after data screening and FC diagnosis. It&#x2019;s well known that age, gender, delivery mode, and feeding pattern can influence the gut bacterial composition (<xref ref-type="bibr" rid="ref7">Cryan et al., 2019</xref>); in this study, the above variables were statistically analyzed in the FC and BC groups and the results showed no significant differences (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Clinical parameters of the FC and BC groups.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2">Variables</th>
<th align="center" valign="top">FC (<italic>n</italic> =&#x202F;79)</th>
<th align="center" valign="top">BC (<italic>n</italic> =&#x202F;31)</th>
<th align="center" valign="top"><italic>p-</italic>value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Age, mean (SD)</td>
<td align="left" valign="middle">Months</td>
<td align="char" valign="middle" char="(">17.32 (4.21)</td>
<td align="char" valign="middle" char="(">19.06 (4.88)</td>
<td align="center" valign="middle">0.757</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Gender, <italic>n</italic> (%)</td>
<td align="left" valign="middle">Boys</td>
<td align="char" valign="middle" char="(">37 (46.84%)</td>
<td align="char" valign="middle" char="(">17 (54.84%)</td>
<td align="center" valign="middle" rowspan="2">0.450</td>
</tr>
<tr>
<td align="left" valign="middle">Girls</td>
<td align="char" valign="middle" char="(">42 (53.16%)</td>
<td align="char" valign="middle" char="(">14 (45.16%)</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Delivery mode, <italic>n</italic> (%)</td>
<td align="left" valign="middle">Vaginal delivery</td>
<td align="char" valign="middle" char="(">45 (56.96%)</td>
<td align="char" valign="middle" char="(">17 (54.84%)</td>
<td align="center" valign="middle" rowspan="2">0.714</td>
</tr>
<tr>
<td align="left" valign="middle">Caesarean delivery</td>
<td align="char" valign="middle" char="(">34 (43.04%)</td>
<td align="char" valign="middle" char="(">14 (45.16%)</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Feeding pattern, <italic>n</italic> (%)</td>
<td align="left" valign="middle">Breast feeding</td>
<td align="char" valign="middle" char="(">45 (56.96%)</td>
<td align="char" valign="middle" char="(">20 (64.52%)</td>
<td align="center" valign="middle" rowspan="2">0.468</td>
</tr>
<tr>
<td align="left" valign="middle">Non-breast feeding</td>
<td align="char" valign="middle" char="(">34 (43.04%)</td>
<td align="char" valign="middle" char="(">11 (35.48%)</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Family history of constipation, <italic>n</italic> (%)</td>
<td align="left" valign="middle">Yes</td>
<td align="char" valign="middle" char="(">21 (26.58%)</td>
<td align="char" valign="middle" char="(">1 (3.23%)</td>
<td align="center" valign="middle" rowspan="2">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="char" valign="middle" char="(">58 (73.42%)</td>
<td align="char" valign="middle" char="(">30 (96.77%)</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="8">Bristol Stool Scale score, <italic>n</italic> (%)</td>
<td align="left" valign="middle">Separate hard lumps, nuts-like</td>
<td align="char" valign="middle" char="(">15 (18.99%)</td>
<td align="char" valign="middle" char="(">6 (19.35%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Sausage-shaped but lumpy</td>
<td align="char" valign="middle" char="(">32 (40.51%)</td>
<td align="char" valign="middle" char="(">0 (0.00%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Sausage-shaped with cracks</td>
<td align="char" valign="middle" char="(">22 (27.85%)</td>
<td align="char" valign="middle" char="(">3 (9.68%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Smooth snake</td>
<td align="char" valign="middle" char="(">7 (8.86%)</td>
<td align="char" valign="middle" char="(">6 (19.35%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Soft blobs</td>
<td align="char" valign="middle" char="(">2 (2.53%)</td>
<td align="char" valign="middle" char="(">12 (38.71%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Fluffy pieces</td>
<td align="char" valign="middle" char="(">1 (1.27%)</td>
<td align="char" valign="middle" char="(">4 (12.90%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Watery</td>
<td align="char" valign="middle" char="(">0 (0.00%)</td>
<td align="char" valign="middle" char="(">0 (0.00%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Total score, mean (SD)</td>
<td align="char" valign="middle" char="(">2.39 (1.06)</td>
<td align="char" valign="middle" char="(">3.97 (1.68)</td>
<td align="center" valign="middle">0.002</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In addition, Bristol Stool Scale (BSS), were used to evaluate stool consistency. For BC group, the predominant stool shapes were soft blobs, followed by smooth snake and snake-like forms. These characteristics may be attributed to the young age and the typically thinner diameter of feces in this population. In contrast, FC children predominantly exhibited sausage-shaped stools with cracks, a few with fluffy pieces and watery feces. This pattern was influenced not only by age-related characteristics but also by FC. Compared to BC children, the BSS scores were significantly higher in the FC group (<italic>p</italic>&#x202F;=&#x202F;0.002). Considering whether constipation is genetically influenced, we conducted a family history survey, and the results showed that FC children were more likely to have a family history of constipation than the ordinary children did (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001).</p>
</sec>
<sec id="sec15">
<label>3.2</label>
<title>Changed microbial community diversity of FC children</title>
<p>Fecal samples from the FC and BC groups were processed using the DADA2 method. Each sequence generated after DADA2 quality control is referred to as an amplicon sequence variant (ASV), representing a precise microbial sequence. This approach is more accurate than the traditional 97% similarity-based OTU clustering (<xref ref-type="bibr" rid="ref2">Callahan et al., 2016</xref>). The FC and BC groups contained 75,930 and 25,346 specific ASVs, with 4,657 overlapping ASVs (<xref ref-type="fig" rid="fig2">Figure 2A</xref>). OTU occurrence frequency were shown in phylum and genus levels (<xref ref-type="fig" rid="fig2">Figure 2B</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Gut microbial diversity of FC and BC children. <bold>(A)</bold> Venn diagram of ASVs in the FC and BC groups. <bold>(B)</bold> OTU occurrence frequency in two groups. <bold>(C)</bold> &#x03B1; diversity consisting of many indicators. <bold>(D)</bold> &#x03B2; diversity based on weighted UniFrac. <bold>(E)</bold> &#x03B2; diversity based on unweighted UniFrac.</p>
</caption>
<graphic xlink:href="fmicb-16-1649995-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Panel A shows a Venn diagram comparing FC and BC groups with overlapping and unique elements. Panel B displays stacked bar charts of OTU occurrence frequencies by phylum and genus. Panel C presents box plots of diversity indices (Chao1, Simpson, Shannon, Pielou) with p-values. Panel D features a two-dimensional scatter plot with ellipses representing group clusters, showing Axis 1 and Axis 2. Panel E is another scatter plot with ellipses for group clusters on a different axis orientation.</alt-text>
</graphic>
</fig>
<p>To comprehensively evaluate bacterial diversity within the samples, &#x03B1; diversity analysis was conducted. No statistically significant differences were observed between the FC and BC groups for any of &#x03B1; diversity metrics (<italic>p</italic> &#x003E;&#x202F;0.05). This indicates that there was no substantial difference in the internal diversity of the bacterial communities between the two groups (<xref ref-type="fig" rid="fig2">Figure 2C</xref>).</p>
<p>To investigate the differences in microbial community composition between groups, &#x03B2; diversity analysis was conducted. Principal coordinate analysis (PCoA), based on weighted and unweighted UniFrac distance as representative metrics, was used to examine the clustering patterns of microbial communities in the FC and BC groups. The results demonstrated a distinct separation between the microbial profiles of the FC and BC groups (PERMANOVA <italic>p</italic> =&#x202F;0.021, <italic>p</italic> =&#x202F;0.001), suggesting significant differences in bacterial composition between the two groups (<xref ref-type="fig" rid="fig2">Figures 2D</xref>,<xref ref-type="fig" rid="fig2">E</xref>).</p>
</sec>
<sec id="sec16">
<label>3.3</label>
<title>Discriminative taxa between the FC and BC groups</title>
<p>The gut flora composition was analyzed at five taxonomic levels, namely, phylum, class, order, family, and genus, and the top 20 flora were listed at each level (<xref ref-type="fig" rid="fig3">Figures 3A</xref>&#x2013;<xref ref-type="fig" rid="fig3">E</xref>). LEfSe analyses allowed simultaneous analysis of differences at all taxonomic levels to be presented via the cladogram (<xref ref-type="fig" rid="fig3">Figure 3G</xref>), and placed considerable emphasis on finding robust biomarkers across groups (<xref ref-type="fig" rid="fig3">Figure 3F</xref>). A total of 34 characteristic flora were found, of which 10 were detected in the FC group and 24 in the BC group. In the FC group, the characteristic flora included class Coriobacteriia, order Coriobacteriales, family Coriobacteriaceae, and at the genus level were <italic>Prevotella</italic>, <italic>Collinsella</italic>, <italic>Subdoligranulum</italic>, <italic>Alistipes</italic> and <italic>Eggerthella</italic>. In the BC group, the characteristic flora consisted of class Erysipelotrichi, order Erysipelotrichales, family Erysipelotrichaceae, Lactobacillaceae and Veillonellaceae, and the characteristic genera included <italic>Veillonella</italic>, <italic>Silene</italic>, <italic>Haemophilus</italic>, <italic>Lactobacillus</italic>, <italic>Granulicatella</italic>, <italic>Abiotrophia</italic>, <italic>Actinomyces</italic>, <italic>Actinomycetaceae</italic> and <italic>Selenomonas</italic>.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>FC children changed the gut microbial composition. <bold>(A&#x2013;E)</bold> Histogram showing the relative abundance of the top 20 taxa in phyla, class, orders, family, genera, respectively. <bold>(F)</bold> LEfSe analysis showing gut flora with an LDA (log10) &#x003E;2. The length of the bar graph representing the size of the LDA. <bold>(G)</bold> Cladogram of the phylogenetic distribution at all taxonomic levels.</p>
</caption>
<graphic xlink:href="fmicb-16-1649995-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Six graphical representations of microbial community composition. Panels A to E show stacked bar charts of relative abundance for the top twenty classifications at phylum (A), class (B), order (C), family (D), and genus (E) levels between BC and FC groups. Panel F displays an LDA score bar chart, comparing differential abundance between the groups. Color-coded legends provide classification names. Circular phylogenetic tree diagram with branches colored in green and purple, indicating two groups: BC (green) and FC (purple). The right side lists corresponding taxa for each branch color.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec17">
<label>3.4</label>
<title>Altered metabolomics profile of FC children</title>
<p>Most intestinal bacteria exert an influence on the physiological and pathological state of the organism through their metabolites. Urine, as the end product of human metabolism, contains a rich array of metabolites that reflect the body&#x2019;s biochemical metabolic status. It is also non-invasive, non-infectious, and highly suitable for analyzing metabolic changes in young children. In this study, urine samples were collected from 31 BC children and 76 FC children for untargeted metabolomic analysis.</p>
<p>After removing the ineligible samples, the total ion flow plots of the quality control (QC) samples showed substantial overlap, indicating minimal machine-induced errors throughout the experiment (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1</xref>). Differential analysis of all metabolites was performed using univariate statistical analysis and visualized through volcano plots (<xref ref-type="fig" rid="fig4">Figures 4A</xref>,<xref ref-type="fig" rid="fig4">B</xref>). OPLS-DA revealed an overall trend of separation between FC and BC samples (<xref ref-type="fig" rid="fig4">Figures 4C</xref>,<xref ref-type="fig" rid="fig4">D</xref>), suggesting that the OPLS-DA model effectively differentiated the two groups. The OPLS-DA permutation test in the positive and negative ion modes indicated that the original model did not exhibit overfitting and had excellent explanatory and predictive capabilities (<xref ref-type="fig" rid="fig4">Figures 4E</xref>,<xref ref-type="fig" rid="fig4">F</xref>). These findings indicate that the metabolite composition in FC children underwent significant alterations compared to BC children.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>FC children changed the metabolome. <bold>(A)</bold> Volcano plots of positive ion mode. <bold>(B)</bold> Volcano plots of negative ion mode. Rose represented differential metabolites with Fold change &#x003E;1.5, suggesting up-regulation of their expression in the FC group. Blue represented differential metabolites with Fold change &#x003C;0.67, suggesting down-regulation of their expression in the BC group. Black represented metabolites with no statistically significant difference. <bold>(C)</bold> OPLS-DA score graph for positive ion mode. <bold>(D)</bold> OPLS-DA score graph for negative ion mode. <bold>(E)</bold> Permutation test of OPLS-DA for positive ion mode. <bold>(F)</bold> Permutation test of OPLS-DA for negative ion mode.</p>
</caption>
<graphic xlink:href="fmicb-16-1649995-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Panel A and B display volcano plots depicting log2(fold change) against -log10(p-value) for comparison between FC and BC. Panel C and D show scatter plots with two distinct clusters represented by purple and teal dots. Panel E and F illustrate permutation plots with R2 and Q2 values, consisting of green circles and blue squares for different components.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec18">
<label>3.5</label>
<title>Differential metabolite and metabolic pathway between two groups</title>
<p>The differences in metabolite expression profiles between groups can be quantified and analyzed using variable importance in projection (VIP) values derived from OPLS-DA, allowing for the identification of significantly altered metabolites. In this study, a stringent screening criterion of VIP &#x003E;1.0 and <italic>p</italic> &#x003C;&#x202F;0.05 was applied to select differential metabolites. As illustrated in <xref ref-type="fig" rid="fig5">Figures 5A</xref>,<xref ref-type="fig" rid="fig5">B</xref>, 43 metabolites were identified in positive ion mode and 32 in negative ion mode. Detailed parameters of each differential metabolite are provided in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>.</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Differential metabolites analysis. <bold>(A)</bold> Differential metabolites in positive ion mode. <bold>(B)</bold> Differential metabolites in negative ion mode. <bold>(C)</bold> Differential abundance score plot of differential metabolites.</p>
</caption>
<graphic xlink:href="fmicb-16-1649995-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Two bar charts labeled A and B compare differential metabolites using log2 fold change (FC). Chart A shows metabolites with both increases (red, up) and decreases (green, down) in values, highlighting N-octanoylsphingosine and Proline. Chart B displays a similar trend, with Homovanillic acid sulfate and 3-ureidopropionate as prominent features. Each chart categorizes metabolites as either up or down-regulated. Graph titled "C" shows a dot plot of the differential abundance scores for various metabolic pathways: Xylene degradation, Thiamine metabolism, Sphingolipid metabolism, Glutathione metabolism, and Cyanoamino acid metabolism. The scores range from negative one to positive one. Red dots represent positive scores above zero for multiple pathways, indicating higher differential abundance. Pathway size is marked by dot size. A legend displays the color scale from blue (negative score) to red (positive score).</alt-text>
</graphic>
</fig>
<p>To further explore the metabolic mechanisms of FC, the differential metabolites were mapped to relevant physiological pathways. Differential abundance scores indicated that the FC group was mainly associated with alterations in sphingolipid metabolism, thiamine metabolism and glutathione metabolism (<xref ref-type="fig" rid="fig5">Figure 5C</xref>). These findings provide insights into the potential metabolic alterations and biological processes involved in FC.</p>
</sec>
<sec id="sec19">
<label>3.6</label>
<title>Correlation analysis between differential flora and metabolites</title>
<p>To investigate the correlation between gut microbiota and metabolic changes, Spearman analysis was performed. A total of 223 significant pairs were identified. Specifically, These colonies (<italic>Veillonella</italic>, <italic>Collinsella</italic>, <italic>Bifidobacterium</italic>, <italic>Coprococcus</italic>, <italic>Shigella</italic>) and metabolites (oleamide, ciprofibrate, fenpropidin, heptadecasphinganine, pyridoxal phosphate) played tightly connected roles (<xref ref-type="fig" rid="fig6">Figure 6</xref>). These findings suggest that specific gut microbes may play a role in regulating the levels of certain metabolites, potentially influencing the metabolic profile observed in FC individuals.</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Correlation analysis between differential flora and metabolites. <sup>&#x002A;</sup><italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, <sup>&#x002A;&#x002A;</sup><italic>p</italic>&#x202F;&#x003C;&#x202F;0.01, and <sup>&#x002A;&#x002A;&#x002A;</sup><italic>p</italic>&#x202F;&#x003C;&#x202F;0.001.</p>
</caption>
<graphic xlink:href="fmicb-16-1649995-g006.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Heatmap showing the correlation between various metabolites and bacterial genera. Rows represent different metabolites, and columns represent bacterial genera. Color gradient indicates correlation strength, ranging from blue for negative to red for positive correlations. Dendrograms indicate hierarchical clustering of both rows and columns.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec20">
<label>3.7</label>
<title>ROC prediction for FC children</title>
<p>To identify potential biomarkers for FC children, ROC analysis was employed. The top 3 metabolites were Oleamide, Palmitamide, N_octanoylsphingosine, showing excellent discriminatory power. The top 3 microbial taxa were <italic>Alistipes</italic>, <italic>Selenomonas</italic> and <italic>Veillonella</italic>, showing general discriminatory power. When combining these metabolites and microbial taxa, the resulting model exhibited excellent discriminatory power with an AUC of 1.000. Moreover, the sensitivity and specificity of this biomarker panel both reached 100%, suggesting that the model can perfectly distinguish potential FC children without any misclassification (<xref ref-type="fig" rid="fig7">Figure 7</xref>).</p>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>ROC curve for FC children. <bold>(A&#x2013;C)</bold> Differential metabolites. <bold>(D&#x2013;F)</bold> Differential microbiota. <bold>(G)</bold> Combined metabolite. <bold>(H)</bold> Combined microbiota. <bold>(I)</bold> Combined biomarker of microbiota and metabolites.</p>
</caption>
<graphic xlink:href="fmicb-16-1649995-g007.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Nine ROC curves labeled A to I, illustrating diagnostic performance. A: Oleamide with AUC 0.998.B: Palmitamide with AUC 0.998.C: N-octanoylsphingosine with AUC 0.995.D: Veillonella with AUC 0.708.E: Alistipes with AUC 0.710.F: Selenomonas with AUC 0.716.G: Combined metabolite with AUC 0.997.H: Combined microbiota with AUC 0.870.I: Combined biomarker with AUC 1.000. Each plot shows sensitivity versus 100-specificity.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec21">
<label>4</label>
<title>Discussion</title>
<p>Within the first 2&#x202F;years of life, a critical period for human development, trillions of microbes and their associated genes undergo assembly and stabilization within the human body, forming the foundation of the gut microbiome (<xref ref-type="bibr" rid="ref26">Robertson et al., 2019</xref>). Accumulating evidence underscores dysbiosis of the intestinal flora as a pivotal etiological factor in pediatric FC. Recent metagenomic studies have further illuminated the central role of bacterial composition and metabolic potential in the pathophysiology and progression of FC (<xref ref-type="bibr" rid="ref8">de Meij et al., 2016</xref>; <xref ref-type="bibr" rid="ref18">Mancabelli et al., 2017</xref>). Building upon these insights, we undertook an investigation into the intestinal microbiota and urinary metabolomics profiles of Chinese children aged 0&#x2013;2&#x202F;years diagnosed with FC. This study was designed to systematically characterize the microbial community structure and its associated metabolic signatures in this specific population, thereby providing a targeted understanding of the microbiome-metabolome interactions underlying pediatric FC during early childhood development.</p>
<p>Although the FC and BC groups did not show significant differences in terms of alpha diversity, LEfSe analysis revealed significant differences in the composition of the gut microbiota between the two groups. Specifically, five genera had significantly higher relative abundance in the FC group than in the BC group; these were <italic>Alistipes</italic>, <italic>Eggerthella</italic>, <italic>Prevotella</italic>, <italic>Collinsella</italic>, and <italic>Subdoligranulum</italic>. Genera with higher relative abundance in the BC group included <italic>Veillonella</italic> and <italic>Selenomonas</italic>. <italic>Alistipes</italic>, a prominent genus within the gut microbiota, exerts dual regulatory effects on intestinal motility through tryptophan metabolism. This genus competitively utilizes tryptophan via the kynurenine pathway, thereby limiting substrate availability for serotonin synthesis through the 5-hydroxytryptophan (5-HTP) pathway (<xref ref-type="bibr" rid="ref31">Tyrrell et al., 2011</xref>). The resultant serotonin deficiency impairs enteric nervous system signaling, directly contributing to delayed colonic transit-a hallmark of FC. Clinical observations reveal elevated mucosal colonization of <italic>Alistipes</italic> in FC patients, correlating with diminished 5-HTP levels and prolonged intestinal transit times (<xref ref-type="bibr" rid="ref19">Mearin et al., 2016</xref>; <xref ref-type="bibr" rid="ref29">Sugitani et al., 2021</xref>). Notably, therapeutic interventions involving <italic>Bifidobacterium</italic> species demonstrate constipation-alleviating effects through a tripartite mechanism: enhancing acetate production, promoting <italic>Lactobacillus</italic> proliferation, and specifically suppressing <italic>Alistipes</italic> overgrowth (<xref ref-type="bibr" rid="ref35">Wang L. et al., 2017</xref>). This microbial modulation rebalances the tryptophan-serotonin axis while improving luminal SCFA profiles, suggesting <italic>Alistipes</italic> abundance serves as both a biomarker and potential therapeutic target in FC pathophysiology (<xref ref-type="bibr" rid="ref22">Natividad et al., 2018</xref>; <xref ref-type="bibr" rid="ref21">Muralidharan et al., 2021</xref>).</p>
<p>The gut microbiota composition in Rett syndrome patients with constipation demonstrates a significant enrichment of <italic>Eggerthella</italic>, a potentially pathogenic genus associated with intestinal barrier dysfunction. This dysbiotic state generates a unique SCFA profile independent of constipation status, suggesting intrinsic microbial metabolic reprogramming linked to <italic>Eggerthella</italic> proliferation (<xref ref-type="bibr" rid="ref28">Strati et al., 2016</xref>). Mechanistically, <italic>Eggerthella</italic> exhibits proinflammatory properties through induction of intestinal epithelial inflammation and compromised barrier integrity, potentially exacerbating gastrointestinal manifestations including bleeding and bloating (<xref ref-type="bibr" rid="ref10">Gardiner et al., 2015</xref>). Concurrently, <italic>Prevotella</italic> demonstrates microenvironmental adaptability to inflammatory conditions, with its increased abundance in constipated mice models and human cohorts reflecting a symbiotic relationship with proinflammatory states. This genus may perpetuate intestinal dysmotility through sustained inflammatory signaling (<xref ref-type="bibr" rid="ref14">Liu et al., 2019</xref>; <xref ref-type="bibr" rid="ref13">Li et al., 2024</xref>). The microbial ecology analysis reveals functional dichotomy between <italic>Veillonella</italic> and <italic>Selenomonas</italic> in gut homeostasis. While <italic>Veillonella</italic>&#x2019;s dominance in healthy small intestinal ecosystems aligns with its elevated abundance in control groups, its metabolic reliance on organic acid fermentation may paradoxically exacerbate constipation through gas-mediated intestinal distension. In contrast, <italic>Selenomonas</italic> demonstrates therapeutic potential through glucose fermentation pathways, as evidenced by its post-transplant enrichment in fecal microbiota transplantation studies correlating with improved colonic motility and mitigation of constipation-related neuropsychiatric comorbidities (<xref ref-type="bibr" rid="ref32">van den Bogert et al., 2013</xref>; <xref ref-type="bibr" rid="ref41">Yang et al., 2023</xref>). These findings collectively highlight the complex interplay between specific bacterial taxa (<italic>Eggerthella</italic>, <italic>Prevotella</italic>) driving inflammatory-metabolic dysfunction and counterregulatory genera (<italic>Selenomonas</italic>) mediating intestinal homeostasis restoration, providing mechanistic insights into microbial contributions to constipation pathophysiology.</p>
<p>The liquid-quantity coupledomics approach utilized in this study revealed a distinct metabolite profile in children with FC. A total of 75 differential metabolites were identified, along with several associated metabolic pathways. Among these, oleamide, a fatty acid amide derived from oleic acid, emerged as a critical regulator of enteric dynamics. Oleamide has been demonstrated to inhibit intestinal motility by activating the cannabinoid receptor CB1 in murine models (<xref ref-type="bibr" rid="ref3">Capasso et al., 2005</xref>). Traditional Chinese medicine, specifically MaZiRenWan, has been shown to mitigate oleamide-induced reductions in intestinal motility. This effect is likely mediated through enhanced degradation of oleamide via colonic fatty acid amide hydrolase, thereby improving intestinal motility in FC patients (<xref ref-type="bibr" rid="ref11">Huang et al., 2020</xref>). Other metabolites identified in this study, such as palmitamide and n-octanoylsphingosine, currently lack established correlations with FC, warranting further investigation into their potential roles in the pathophysiology of this condition. These findings underscore the importance of oleamide and its regulatory mechanisms in FC, while highlighting the therapeutic potential of targeted interventions aimed at modulating fatty acid amide metabolism.</p>
<p>Glutathione serves as a critical antioxidant in the body, capable of scavenging free radicals and reducing oxidative reactions, thereby preserving cellular integrity. Additionally, glutathione plays a key role in promoting metabolism, aiding in the elimination of waste and toxins, and enhancing the body&#x2019;s immune function. Notably, glutathione metabolism also influences intestinal barrier function by modulating oxidative stress and regulating the expression of pro-inflammatory cytokines. In constipated rats, the content of glutathione was decreased. After treatment with traditional Chinese medicine, its content increased, suggesting a correlation with constipation. A novel strain BC99 exerted an anti-constipation effect in adults, which may be related to glutathione metabolism (<xref ref-type="bibr" rid="ref39">Wu Y. et al., 2024</xref>).</p>
<p>The sphingolipid metabolic axis plays a pivotal role in pediatric constipation pathophysiology, generating bioactive mediators such as sphingosine-1-phosphate (S1P), phytosphingosine, and dihydrosphingosine. These molecules regulate gastrointestinal motility via dual mechanisms: direct modulation of smooth muscle contractility and neuromodulatory effects mediated by interstitial cells of Cajal (ICC) (<xref ref-type="bibr" rid="ref16">Maceyka et al., 2012</xref>). Notably, S1P exerts mechanistic significance by activating ICC pacemaker activity through calcium-dependent pathways, essential for colonic smooth muscle slow-wave propagation (<xref ref-type="bibr" rid="ref36">Wang et al., 2023</xref>). Clinically, reduced S1P levels correlate with ICC network dysfunction and impaired propulsive motility, linking sphingolipid dysregulation to constipation (<xref ref-type="bibr" rid="ref20">Mostafa et al., 2010</xref>). Supporting evidence from aging models demonstrates analogous gastrointestinal dysmotility associated with dihydrosphingosine depletion, while therapeutic restoration of phytosphingosine enhances cholinergic signaling, exerting prokinetic effects. These findings underscore the critical relationship between the sphingolipid metabolic axis and constipation (<xref ref-type="bibr" rid="ref6">Choi et al., 2015</xref>; <xref ref-type="bibr" rid="ref34">Wang S. et al., 2017</xref>).</p>
<p>Thiamine, also known as vitamin B1, is widely distributed in most foods. While it is particularly abundant in cereals, meat, fish, shrimp, and yeast, a significant portion of vitamin B1 is lost during food processing. As a result, many processed foods are fortified with thiamine. The absorption of thiamine primarily occurs in the duodenum, where it binds with magnesium ions to form its active state, thiamine pyrophosphate (TPP). TPP serves as an essential cofactor in critical metabolic pathways, such as the citric acid cycle and the pentose phosphate pathway. Low levels of thiamine can impair mitochondrial function, leading to reduced oxidative metabolism and decreased energy production. Research on malnutrition among elderly individuals in nursing facilities has shown that thiamine deficiency is associated with gastrointestinal issues, including nausea, vomiting, and constipation (<xref ref-type="bibr" rid="ref33">Volkert et al., 2011</xref>). <xref ref-type="bibr" rid="ref9">Du et al. (2024)</xref> conducted a large-scale survey involving 10,371 participants, and the results demonstrated a significant negative correlation between thiamine intake and the prevalence of constipation, with a more pronounced association observed in males, as well as individuals without hypertension or diabetes. One possible explanation for this phenomenon is that dietary thiamine intake is closely related to stool softening and an increased frequency of colonic peristalsis.</p>
<p>Additionally, the combination of characteristic metabolites and gut flora provided an excellent discriminatory marker for FC children, with an AUC of 1.000. This highlights the potential utility of metabolomic and microbiomic profiles in diagnosing and understanding the underlying mechanisms of functional constipation in this population. These findings underscore the importance of integrating metabolomics and microbiomics in elucidating the pathophysiology of functional constipation and identifying potential therapeutic targets.</p>
<p>This investigation acknowledges three principal limitations requiring methodological refinement in subsequent research. First, while demographic parameters (age, gender, delivery mode, feeding practice) showed intergroup parity, the inherent biological variability of infant cohorts across a broad age spectrum (0&#x2013;2&#x202F;years) may introduce developmental confounders. Future studies employing stricter age stratification could enhance phenotypic homogeneity. Second, constrained sample size and regional recruitment bias potentially compromise statistical power and generalizability. Nationwide multicenter cohorts incorporating longitudinal designs would improve external validity and enable detection of subtle microbiota-host interactions. Third, the inherent taxonomic limitations of 16S rRNA sequencing preclude precise species-level microbial characterization, particularly critical for functionally divergent subspecies within constipogenic genera. Implementation of shotgun metagenomics coupled with metabolomic profiling could resolve this taxonomic ambiguity while elucidating microbial metabolic networks. Complementary mechanistic validation through fecal microbiota transplantation models and pharmacological modulation of identified microbial targets would strengthen causal inference. Addressing these limitations will facilitate translation of observational associations into therapeutic strategies for pediatric functional constipation.</p>
</sec>
<sec sec-type="conclusions" id="sec22">
<label>5</label>
<title>Conclusion</title>
<p>This study establishes an integrated multi-omics framework for characterizing Chinese FC in pediatric populations. Through systematic correlation of gut microbial dynamics with metabolomic perturbations, we identified FC-specific microbial clusters and bioactive metabolites converging on thiamine, glutathione and sphingolipid metabolic dysregulation. The developed microbial-metabolite diagnostic panel demonstrates superior discriminative capacity for FC detection, outperforming conventional symptom-based assessments. This biomarker platform enables non-invasive stratification of constipation through machine learning-driven pattern recognition of multi-omics signatures.</p>
<p>Our findings establish a functional axis connecting microbial sphingolipid metabolism with intestinal neuromuscular regulation, offering three translational applications: (1) the relationship between crucial gut microbiota and oleamide, (2) strategies for metabolic reprogramming of glutathione, and (3) the correlation between mechanism-based metabolites oleamide and glutathione metabolism. This paradigm advances pediatric gastroenterology practice towards microbiome-informed personalized interventions.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec23">
<title>Data availability statement</title>
<p>The datasets generated and/or analyzed during the current study are available in the National Center for Biotechnology Information (NCBI) repository. The Sequence Read Archive (SRA) ID is PRJNA1262707 and PRJNA1267060.</p>
</sec>
<sec sec-type="ethics-statement" id="sec24">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Ethics Committee of Beijing University of Chinese Medicine. 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 sec-type="author-contributions" id="sec25">
<title>Author contributions</title>
<p>HZ: Writing &#x2013; original draft, Conceptualization. XL: Methodology, Formal analysis, Writing &#x2013; review &#x0026; editing, Data curation. HL: Investigation, Writing &#x2013; review &#x0026; editing, Methodology. YY: Formal analysis, Writing &#x2013; review &#x0026; editing, Data curation. HY: Supervision, Writing &#x2013; review &#x0026; editing, Software. WL: Software, Writing &#x2013; review &#x0026; editing, Supervision. ZL: Data curation, Writing &#x2013; review &#x0026; editing. XZ: Funding acquisition, Writing &#x2013; review &#x0026; editing. JWu: Supervision, Writing &#x2013; review &#x0026; editing. JWa: Funding acquisition, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec26">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the High level Key Discipline of National Administration of Traditional Chinese Medicine-Traditional Chinese constitutional Medicine (No. zyyzdxk-2023251); and Qi-Huang Scholar, Chief Scientist Program of National Administration of Traditional Chinese Medicine Leading Talents Support Program (National TCM Human Education Letter 2022 No. 6).</p>
</sec>
<sec sec-type="COI-statement" id="sec27">
<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>
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<sec sec-type="ai-statement" id="sec28">
<title>Generative AI statement</title>
<p>The authors declare that no Gen 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>
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<title>Publisher&#x2019;s note</title>
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<title>Supplementary material</title>
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</sec>
<ref-list>
<title>References</title>
<ref id="ref1"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Benninga</surname><given-names>M. A.</given-names></name> <name><surname>Faure</surname><given-names>C.</given-names></name> <name><surname>Hyman</surname><given-names>P. E.</given-names></name> <name><surname>St James Roberts</surname><given-names>I.</given-names></name> <name><surname>Schechter</surname><given-names>N. L.</given-names></name> <name><surname>Nurko</surname><given-names>S.</given-names></name></person-group> (<year>2016</year>). <article-title>Childhood functional gastrointestinal disorders: neonate/toddler</article-title>. <source>Gastroenterology</source> <volume>150</volume>, <fpage>1443</fpage>&#x2013;<lpage>1455</lpage>. doi: <pub-id pub-id-type="doi">10.1053/j.gastro.2016.02.016</pub-id></citation></ref>
<ref id="ref2"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Callahan</surname><given-names>B. J.</given-names></name> <name><surname>McMurdie</surname><given-names>P. J.</given-names></name> <name><surname>Rosen</surname><given-names>M. J.</given-names></name> <name><surname>Han</surname><given-names>A. W.</given-names></name> <name><surname>Johnson</surname><given-names>A. J.</given-names></name> <name><surname>Holmes</surname><given-names>S. P.</given-names></name></person-group> (<year>2016</year>). <article-title>DADA2: high-resolution sample inference from Illumina amplicon data</article-title>. <source>Nat. Methods</source> <volume>13</volume>, <fpage>581</fpage>&#x2013;<lpage>583</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nmeth.3869</pub-id>, PMID: <pub-id pub-id-type="pmid">27214047</pub-id></citation></ref>
<ref id="ref3"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Capasso</surname><given-names>R.</given-names></name> <name><surname>Matias</surname><given-names>I.</given-names></name> <name><surname>Lutz</surname><given-names>B.</given-names></name> <name><surname>Borrelli</surname><given-names>F.</given-names></name> <name><surname>Capasso</surname><given-names>F.</given-names></name> <name><surname>Marsicano</surname><given-names>G.</given-names></name> <etal/></person-group>. (<year>2005</year>). <article-title>Fatty acid amide hydrolase controls mouse intestinal motility <italic>in vivo</italic></article-title>. <source>Gastroenterology</source> <volume>129</volume>, <fpage>941</fpage>&#x2013;<lpage>951</lpage>. doi: <pub-id pub-id-type="doi">10.1053/j.gastro.2005.06.018</pub-id>, PMID: <pub-id pub-id-type="pmid">16143133</pub-id></citation></ref>
<ref id="ref4"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chambers</surname><given-names>M. C.</given-names></name> <name><surname>Maclean</surname><given-names>B.</given-names></name> <name><surname>Burke</surname><given-names>R.</given-names></name> <name><surname>Amodei</surname><given-names>D.</given-names></name> <name><surname>Ruderman</surname><given-names>D. L.</given-names></name> <name><surname>Neumann</surname><given-names>S.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>A cross-platform toolkit for mass spectrometry and proteomics</article-title>. <source>Nat. Biotechnol.</source> <volume>30</volume>, <fpage>918</fpage>&#x2013;<lpage>920</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nbt.2377</pub-id></citation></ref>
<ref id="ref5"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chogle</surname><given-names>A.</given-names></name> <name><surname>Velasco-Benitez</surname><given-names>C. A.</given-names></name> <name><surname>Koppen</surname><given-names>I. J.</given-names></name> <name><surname>Moreno</surname><given-names>J. E.</given-names></name> <name><surname>Ram&#x00ED;rez Hern&#x00E1;ndez</surname><given-names>C. R.</given-names></name> <name><surname>Saps</surname><given-names>M.</given-names></name></person-group> (<year>2016</year>). <article-title>A population-based study on the epidemiology of functional gastrointestinal disorders in young children</article-title>. <source>J. Pediatr.</source> <volume>179</volume>, <fpage>139</fpage>&#x2013;<lpage>143.e1</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jpeds.2016.08.095</pub-id>, PMID: <pub-id pub-id-type="pmid">27726867</pub-id></citation></ref>
<ref id="ref6"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Choi</surname><given-names>S.</given-names></name> <name><surname>Kim</surname><given-names>J. A.</given-names></name> <name><surname>Kim</surname><given-names>T. H.</given-names></name> <name><surname>Li</surname><given-names>H. Y.</given-names></name> <name><surname>Shin</surname><given-names>K. O.</given-names></name> <name><surname>Lee</surname><given-names>Y. M.</given-names></name> <etal/></person-group>. (<year>2015</year>). <article-title>Altering sphingolipid composition with aging induces contractile dysfunction of gastric smooth muscle via K<sub>Ca</sub> 1.1 upregulation</article-title>. <source>Aging Cell</source> <volume>14</volume>, <fpage>982</fpage>&#x2013;<lpage>994</lpage>. doi: <pub-id pub-id-type="doi">10.1111/acel.12388</pub-id>, PMID: <pub-id pub-id-type="pmid">26288989</pub-id></citation></ref>
<ref id="ref7"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cryan</surname><given-names>J. F.</given-names></name> <name><surname>O'Riordan</surname><given-names>K. J.</given-names></name> <name><surname>Cowan</surname><given-names>C. S. M.</given-names></name> <name><surname>Sandhu</surname><given-names>K. V.</given-names></name> <name><surname>Bastiaanssen</surname><given-names>T. F. S.</given-names></name> <name><surname>Boehme</surname><given-names>M.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>The microbiota-gut-brain axis</article-title>. <source>Physiol. Rev.</source> <volume>99</volume>, <fpage>1877</fpage>&#x2013;<lpage>2013</lpage>. doi: <pub-id pub-id-type="doi">10.1152/physrev.00018.2018</pub-id>, PMID: <pub-id pub-id-type="pmid">31460832</pub-id></citation></ref>
<ref id="ref8"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>de Meij</surname><given-names>T. G.</given-names></name> <name><surname>de Groot</surname><given-names>E. F.</given-names></name> <name><surname>Eck</surname><given-names>A.</given-names></name> <name><surname>Budding</surname><given-names>A. E.</given-names></name> <name><surname>Kneepkens</surname><given-names>C. M.</given-names></name> <name><surname>Benninga</surname><given-names>M. A.</given-names></name> <etal/></person-group>. (<year>2016</year>). <article-title>Characterization of microbiota in children with chronic functional constipation</article-title>. <source>PLoS One</source> <volume>11</volume>:<fpage>e0164731</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0164731</pub-id></citation></ref>
<ref id="ref9"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Du</surname><given-names>W.</given-names></name> <name><surname>Lu</surname><given-names>L.</given-names></name> <name><surname>Liu</surname><given-names>Y.</given-names></name> <name><surname>Yan</surname><given-names>Y.</given-names></name> <name><surname>La</surname><given-names>R.</given-names></name> <name><surname>Wu</surname><given-names>Q.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>The association between dietary vitamin B1 intake and constipation: a population-based study</article-title>. <source>BMC Gastroenterol.</source> <volume>24</volume>:<fpage>171</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12876-024-03255-2</pub-id>, PMID: <pub-id pub-id-type="pmid">38760704</pub-id></citation></ref>
<ref id="ref10"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gardiner</surname><given-names>B. J.</given-names></name> <name><surname>Tai</surname><given-names>A. Y.</given-names></name> <name><surname>Kotsanas</surname><given-names>D.</given-names></name> <name><surname>Francis</surname><given-names>M. J.</given-names></name> <name><surname>Roberts</surname><given-names>S. A.</given-names></name> <name><surname>Ballard</surname><given-names>S. A.</given-names></name> <etal/></person-group>. (<year>2015</year>). <article-title>Clinical and microbiological characteristics of <italic>Eggerthella lenta</italic> bacteremia</article-title>. <source>J. Clin. Microbiol.</source> <volume>53</volume>, <fpage>626</fpage>&#x2013;<lpage>635</lpage>. doi: <pub-id pub-id-type="doi">10.1128/JCM.02926-14</pub-id>, PMID: <pub-id pub-id-type="pmid">25520446</pub-id></citation></ref>
<ref id="ref11"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Huang</surname><given-names>T.</given-names></name> <name><surname>Zhao</surname><given-names>L.</given-names></name> <name><surname>Lin</surname><given-names>C. Y.</given-names></name> <name><surname>Lu</surname><given-names>L.</given-names></name> <name><surname>Ning</surname><given-names>Z. W.</given-names></name> <name><surname>Hu</surname><given-names>D. D.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>Chinese herbal medicine (MaZiRenWan) improves bowel movement in functional constipation through down-regulating oleamide</article-title>. <source>Front. Pharmacol.</source> <volume>10</volume>:<fpage>1570</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fphar.2019.01570</pub-id>, PMID: <pub-id pub-id-type="pmid">32038247</pub-id></citation></ref>
<ref id="ref12"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jia</surname><given-names>H.</given-names></name> <name><surname>Shen</surname><given-names>X.</given-names></name> <name><surname>Guan</surname><given-names>Y.</given-names></name> <name><surname>Xu</surname><given-names>M.</given-names></name> <name><surname>Tu</surname><given-names>J.</given-names></name> <name><surname>Mo</surname><given-names>M.</given-names></name> <etal/></person-group>. (<year>2018</year>). <article-title>Predicting the pathological response to neoadjuvant chemoradiation using untargeted metabolomics in locally advanced rectal cancer</article-title>. <source>Radiother. Oncol.</source> <volume>128</volume>, <fpage>548</fpage>&#x2013;<lpage>556</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.radonc.2018.06.022</pub-id>, PMID: <pub-id pub-id-type="pmid">30041962</pub-id></citation></ref>
<ref id="ref13"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname><given-names>S.</given-names></name> <name><surname>Li</surname><given-names>Y.</given-names></name> <name><surname>Cai</surname><given-names>Y.</given-names></name> <name><surname>Yan</surname><given-names>Z.</given-names></name> <name><surname>Wei</surname><given-names>J.</given-names></name> <name><surname>Zhang</surname><given-names>H.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title><italic>Acticaseibacillus paracasei</italic> NCU-04 relieves constipation and the depressive-like behaviors induced by loperamide in mice through the microbiome-gut-brain axis</article-title>. <source>Curr. Res. Food Sci.</source> <volume>9</volume>:<fpage>100875</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.crfs.2024.100875</pub-id>, PMID: <pub-id pub-id-type="pmid">39429918</pub-id></citation></ref>
<ref id="ref14"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname><given-names>D.</given-names></name> <name><surname>Lin</surname><given-names>L.</given-names></name> <name><surname>Lin</surname><given-names>Y.</given-names></name> <name><surname>Zhong</surname><given-names>Y.</given-names></name> <name><surname>Zhang</surname><given-names>S.</given-names></name> <name><surname>Liu</surname><given-names>W.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>Zengye decoction induces alterations to metabolically active gut microbiota in aged constipated rats</article-title>. <source>Biomed. Pharmacother.</source> <volume>109</volume>, <fpage>1361</fpage>&#x2013;<lpage>1371</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.biopha.2018.11.013</pub-id>, PMID: <pub-id pub-id-type="pmid">30551387</pub-id></citation></ref>
<ref id="ref15"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lv</surname><given-names>J.</given-names></name> <name><surname>Wang</surname><given-names>J.</given-names></name> <name><surname>Yu</surname><given-names>Y.</given-names></name> <name><surname>Zhao</surname><given-names>M.</given-names></name> <name><surname>Yang</surname><given-names>W.</given-names></name> <name><surname>Liu</surname><given-names>J.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Alterations of gut microbiota are associated with blood pressure: a cross-sectional clinical trial in Northwestern China</article-title>. <source>J. Transl. Med.</source> <volume>21</volume>:<fpage>429</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12967-023-04176-6</pub-id>, PMID: <pub-id pub-id-type="pmid">37391847</pub-id></citation></ref>
<ref id="ref16"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Maceyka</surname><given-names>M.</given-names></name> <name><surname>Harikumar</surname><given-names>K. B.</given-names></name> <name><surname>Milstien</surname><given-names>S.</given-names></name> <name><surname>Spiegel</surname><given-names>S.</given-names></name></person-group> (<year>2012</year>). <article-title>Sphingosine-1-phosphate signaling and its role in disease</article-title>. <source>Trends Cell Biol.</source> <volume>22</volume>, <fpage>50</fpage>&#x2013;<lpage>60</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.tcb.2011.09.003</pub-id>, PMID: <pub-id pub-id-type="pmid">22001186</pub-id></citation></ref>
<ref id="ref17"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Malowitz</surname><given-names>S.</given-names></name> <name><surname>Green</surname><given-names>M.</given-names></name> <name><surname>Karpinski</surname><given-names>A.</given-names></name> <name><surname>Rosenberg</surname><given-names>A.</given-names></name> <name><surname>Hyman</surname><given-names>P. E.</given-names></name></person-group> (<year>2016</year>). <article-title>Age of onset of functional constipation</article-title>. <source>J. Pediatr. Gastroenterol. Nutr.</source> <volume>62</volume>, <fpage>600</fpage>&#x2013;<lpage>602</lpage>. doi: <pub-id pub-id-type="doi">10.1097/MPG.0000000000001011</pub-id>, PMID: <pub-id pub-id-type="pmid">26488119</pub-id></citation></ref>
<ref id="ref18"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mancabelli</surname><given-names>L.</given-names></name> <name><surname>Milani</surname><given-names>C.</given-names></name> <name><surname>Lugli</surname><given-names>G. A.</given-names></name> <name><surname>Turroni</surname><given-names>F.</given-names></name> <name><surname>Mangifesta</surname><given-names>M.</given-names></name> <name><surname>Viappiani</surname><given-names>A.</given-names></name> <etal/></person-group>. (<year>2017</year>). <article-title>Unveiling the gut microbiota composition and functionality associated with constipation through metagenomic analyses</article-title>. <source>Sci. Rep.</source> <volume>7</volume>:<fpage>9879</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-017-10663-w</pub-id>, PMID: <pub-id pub-id-type="pmid">28852182</pub-id></citation></ref>
<ref id="ref19"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mearin</surname><given-names>F.</given-names></name> <name><surname>Lacy</surname><given-names>B. E.</given-names></name> <name><surname>Chang</surname><given-names>L.</given-names></name> <name><surname>Chey</surname><given-names>W. D.</given-names></name> <name><surname>Lembo</surname><given-names>A. J.</given-names></name> <name><surname>Simren</surname><given-names>M.</given-names></name> <etal/></person-group>. (<year>2016</year>). <article-title>Bowel disorders</article-title>. <source>Gastroenterology</source> <volume>150</volume>, <fpage>1393</fpage>&#x2013;<lpage>1407</lpage>. doi: <pub-id pub-id-type="doi">10.1053/j.gastro.2016.02.031</pub-id></citation></ref>
<ref id="ref20"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mostafa</surname><given-names>R. M.</given-names></name> <name><surname>Moustafa</surname><given-names>Y. M.</given-names></name> <name><surname>Hamdy</surname><given-names>H.</given-names></name></person-group> (<year>2010</year>). <article-title>Interstitial cells of Cajal, the Maestro in health and disease</article-title>. <source>World J. Gastroenterol.</source> <volume>16</volume>, <fpage>3239</fpage>&#x2013;<lpage>3248</lpage>. doi: <pub-id pub-id-type="doi">10.3748/wjg.v16.i26.3239</pub-id>, PMID: <pub-id pub-id-type="pmid">20614479</pub-id></citation></ref>
<ref id="ref21"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Muralidharan</surname><given-names>J.</given-names></name> <name><surname>Moreno-Indias</surname><given-names>I.</given-names></name> <name><surname>Bull&#x00F3;</surname><given-names>M.</given-names></name> <name><surname>Lopez</surname><given-names>J. V.</given-names></name> <name><surname>Corella</surname><given-names>D.</given-names></name> <name><surname>Casta&#x00F1;er</surname><given-names>O.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Effect on gut microbiota of a 1-y lifestyle intervention with Mediterranean diet compared with energy-reduced Mediterranean diet and physical activity promotion: PREDIMED-plus study</article-title>. <source>Am. J. Clin. Nutr.</source> <volume>114</volume>, <fpage>1148</fpage>&#x2013;<lpage>1158</lpage>. doi: <pub-id pub-id-type="doi">10.1093/ajcn/nqab150</pub-id>, PMID: <pub-id pub-id-type="pmid">34020445</pub-id></citation></ref>
<ref id="ref22"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Natividad</surname><given-names>J. M.</given-names></name> <name><surname>Lamas</surname><given-names>B.</given-names></name> <name><surname>Pham</surname><given-names>H. P.</given-names></name> <name><surname>Michel</surname><given-names>M. L.</given-names></name> <name><surname>Rainteau</surname><given-names>D.</given-names></name> <name><surname>Bridonneau</surname><given-names>C.</given-names></name> <etal/></person-group>. (<year>2018</year>). <article-title><italic>Bilophila wadsworthia</italic> aggravates high fat diet induced metabolic dysfunctions in mice</article-title>. <source>Nat. Commun.</source> <volume>9</volume>:<fpage>2802</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41467-018-05249-7</pub-id>, PMID: <pub-id pub-id-type="pmid">30022049</pub-id></citation></ref>
<ref id="ref24"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pantazi</surname><given-names>A. C.</given-names></name> <name><surname>Mihai</surname><given-names>C. M.</given-names></name> <name><surname>Lupu</surname><given-names>A.</given-names></name> <name><surname>Balasa</surname><given-names>A. L.</given-names></name> <name><surname>Chisnoiu</surname><given-names>T.</given-names></name> <name><surname>Mihai</surname><given-names>L.</given-names></name> <etal/></person-group>. (<year>2025</year>). <article-title>Gut microbiota profile and functional gastrointestinal disorders in infants: a longitudinal study</article-title>. <source>Nutrients</source> <volume>17</volume>:<fpage>701</fpage>. doi: <pub-id pub-id-type="doi">10.3390/nu17040701</pub-id>, PMID: <pub-id pub-id-type="pmid">40005029</pub-id></citation></ref>
<ref id="ref25"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pijpers</surname><given-names>M. A.</given-names></name> <name><surname>Bongers</surname><given-names>M. E.</given-names></name> <name><surname>Benninga</surname><given-names>M. A.</given-names></name> <name><surname>Berger</surname><given-names>M. Y.</given-names></name></person-group> (<year>2010</year>). <article-title>Functional constipation in children: a systematic review on prognosis and predictive factors</article-title>. <source>J. Pediatr. Gastroenterol. Nutr.</source> <volume>50</volume>, <fpage>256</fpage>&#x2013;<lpage>268</lpage>. doi: <pub-id pub-id-type="doi">10.1097/MPG.0b013e3181afcdc3</pub-id>, PMID: <pub-id pub-id-type="pmid">20118805</pub-id></citation></ref>
<ref id="ref26"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Robertson</surname><given-names>R. C.</given-names></name> <name><surname>Manges</surname><given-names>A. R.</given-names></name> <name><surname>Finlay</surname><given-names>B. B.</given-names></name> <name><surname>Prendergast</surname><given-names>A. J.</given-names></name></person-group> (<year>2019</year>). <article-title>The human microbiome and child growth&#x2014;first 1000 days and beyond</article-title>. <source>Trends Microbiol.</source> <volume>27</volume>, <fpage>131</fpage>&#x2013;<lpage>147</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.tim.2018.09.008</pub-id>, PMID: <pub-id pub-id-type="pmid">30529020</pub-id></citation></ref>
<ref id="ref27"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sarkar</surname><given-names>A.</given-names></name> <name><surname>Yoo</surname><given-names>J. Y.</given-names></name> <name><surname>Valeria Ozorio Dutra</surname><given-names>S.</given-names></name> <name><surname>Morgan</surname><given-names>K. H.</given-names></name> <name><surname>Groer</surname><given-names>M.</given-names></name></person-group> (<year>2021</year>). <article-title>The association between early-life gut microbiota and long-term health and diseases</article-title>. <source>J. Clin. Med.</source> <volume>10</volume>:<fpage>459</fpage>. doi: <pub-id pub-id-type="doi">10.3390/jcm10030459</pub-id>, PMID: <pub-id pub-id-type="pmid">33504109</pub-id></citation></ref>
<ref id="ref28"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Strati</surname><given-names>F.</given-names></name> <name><surname>Cavalieri</surname><given-names>D.</given-names></name> <name><surname>Albanese</surname><given-names>D.</given-names></name> <name><surname>De Felice</surname><given-names>C.</given-names></name> <name><surname>Donati</surname><given-names>C.</given-names></name> <name><surname>Hayek</surname><given-names>J.</given-names></name> <etal/></person-group>. (<year>2016</year>). <article-title>Altered gut microbiota in Rett syndrome</article-title>. <source>Microbiome</source> <volume>4</volume>:<fpage>41</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s40168-016-0185-y</pub-id>, PMID: <pub-id pub-id-type="pmid">27473171</pub-id></citation></ref>
<ref id="ref29"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sugitani</surname><given-names>Y.</given-names></name> <name><surname>Inoue</surname><given-names>R.</given-names></name> <name><surname>Inatomi</surname><given-names>O.</given-names></name> <name><surname>Nishida</surname><given-names>A.</given-names></name> <name><surname>Morishima</surname><given-names>S.</given-names></name> <name><surname>Imai</surname><given-names>T.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Mucosa-associated gut microbiome in Japanese patients with functional constipation</article-title>. <source>J. Clin. Biochem. Nutr.</source> <volume>68</volume>, <fpage>187</fpage>&#x2013;<lpage>192</lpage>. doi: <pub-id pub-id-type="doi">10.3164/jcbn.20-93</pub-id>, PMID: <pub-id pub-id-type="pmid">33879972</pub-id></citation></ref>
<ref id="ref30"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tran</surname><given-names>D. L.</given-names></name> <name><surname>Sintusek</surname><given-names>P.</given-names></name></person-group> (<year>2023</year>). <article-title>Functional constipation in children: what physicians should know</article-title>. <source>World J. Gastroenterol.</source> <volume>29</volume>, <fpage>1261</fpage>&#x2013;<lpage>1288</lpage>. doi: <pub-id pub-id-type="doi">10.3748/wjg.v29.i8.1261</pub-id>, PMID: <pub-id pub-id-type="pmid">36925458</pub-id></citation></ref>
<ref id="ref31"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tyrrell</surname><given-names>K. L.</given-names></name> <name><surname>Warren</surname><given-names>Y. A.</given-names></name> <name><surname>Citron</surname><given-names>D. M.</given-names></name> <name><surname>Goldstein</surname><given-names>E. J.</given-names></name></person-group> (<year>2011</year>). <article-title>Re-assessment of phenotypic identifications of <italic>Bacteroides putredinis</italic> to <italic>Alistipes</italic> species using molecular methods</article-title>. <source>Anaerobe</source> <volume>17</volume>, <fpage>130</fpage>&#x2013;<lpage>134</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.anaerobe.2011.04.002</pub-id>, PMID: <pub-id pub-id-type="pmid">21527349</pub-id></citation></ref>
<ref id="ref32"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>van den Bogert</surname><given-names>B.</given-names></name> <name><surname>Erkus</surname><given-names>O.</given-names></name> <name><surname>Boekhorst</surname><given-names>J.</given-names></name> <name><surname>de Goffau</surname><given-names>M.</given-names></name> <name><surname>Smid</surname><given-names>E. J.</given-names></name> <name><surname>Zoetendal</surname><given-names>E. G.</given-names></name> <etal/></person-group>. (<year>2013</year>). <article-title>Diversity of human small intestinal <italic>Streptococcus</italic> and <italic>Veillonella</italic> populations</article-title>. <source>FEMS Microbiol. Ecol.</source> <volume>85</volume>, <fpage>376</fpage>&#x2013;<lpage>388</lpage>. doi: <pub-id pub-id-type="doi">10.1111/1574-6941.12127</pub-id>, PMID: <pub-id pub-id-type="pmid">23614882</pub-id></citation></ref>
<ref id="ref33"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Volkert</surname><given-names>D.</given-names></name> <name><surname>Pauly</surname><given-names>L.</given-names></name> <name><surname>Stehle</surname><given-names>P.</given-names></name> <name><surname>Sieber</surname><given-names>C. C.</given-names></name></person-group> (<year>2011</year>). <article-title>Prevalence of malnutrition in orally and tube-fed elderly nursing home residents in Germany and its relation to health complaints and dietary intake</article-title>. <source>Gastroenterol. Res. Pract.</source> <volume>2011</volume>:<fpage>247315</fpage>. doi: <pub-id pub-id-type="doi">10.1155/2011/247315</pub-id></citation></ref>
<ref id="ref34"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>S.</given-names></name> <name><surname>Bao</surname><given-names>Y. R.</given-names></name> <name><surname>Li</surname><given-names>T. J.</given-names></name> <name><surname>Yu</surname><given-names>T.</given-names></name> <name><surname>Chang</surname><given-names>X.</given-names></name> <name><surname>Yang</surname><given-names>G. L.</given-names></name> <etal/></person-group>. (<year>2017</year>). <article-title>Mechanism of Fructus Aurantii flavonoids promoting gastrointestinal motility: from organic and inorganic endogenous substances combination point of view</article-title>. <source>Pharmacogn. Mag.</source> <volume>13</volume>, <fpage>372</fpage>&#x2013;<lpage>377</lpage>. doi: <pub-id pub-id-type="doi">10.4103/pm.pm_179_16</pub-id>, PMID: <pub-id pub-id-type="pmid">28839359</pub-id></citation></ref>
<ref id="ref35"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>L.</given-names></name> <name><surname>Hu</surname><given-names>L.</given-names></name> <name><surname>Xu</surname><given-names>Q.</given-names></name> <name><surname>Jiang</surname><given-names>T.</given-names></name> <name><surname>Fang</surname><given-names>S.</given-names></name> <name><surname>Wang</surname><given-names>G.</given-names></name> <etal/></person-group>. (<year>2017</year>). <article-title>Bifidobacteria exert species-specific effects on constipation in BALB/c mice</article-title>. <source>Food Funct.</source> <volume>8</volume>, <fpage>3587</fpage>&#x2013;<lpage>3600</lpage>. doi: <pub-id pub-id-type="doi">10.1039/C6FO01641C</pub-id>, PMID: <pub-id pub-id-type="pmid">28884754</pub-id></citation></ref>
<ref id="ref36"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>Y.</given-names></name> <name><surname>Jiang</surname><given-names>Y.</given-names></name> <name><surname>Jiang</surname><given-names>L.</given-names></name> <name><surname>Xiong</surname><given-names>W.</given-names></name> <name><surname>Wang</surname><given-names>Y.</given-names></name> <name><surname>Gao</surname><given-names>X.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Estrogen increases the expression of BKCa and impairs the contraction of colon smooth muscle via upregulation of sphingosine kinase 1</article-title>. <source>J. Cell. Physiol.</source> <volume>238</volume>, <fpage>2390</fpage>&#x2013;<lpage>2406</lpage>. doi: <pub-id pub-id-type="doi">10.1002/jcp.31106</pub-id>, PMID: <pub-id pub-id-type="pmid">37642352</pub-id></citation></ref>
<ref id="ref37"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>J.</given-names></name> <name><surname>Li</surname><given-names>Y. S.</given-names></name> <name><surname>Wang</surname><given-names>Q.</given-names></name></person-group> (<year>2019</year>). <article-title>Identification of Chinese medicine constitution in public health services</article-title>. <source>Chin. J. Integr. Med.</source> <volume>25</volume>, <fpage>550</fpage>&#x2013;<lpage>553</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s11655-016-2740-6</pub-id>, PMID: <pub-id pub-id-type="pmid">28028719</pub-id></citation></ref>
<ref id="ref38"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wen</surname><given-names>M.</given-names></name> <name><surname>Liu</surname><given-names>T.</given-names></name> <name><surname>Zhao</surname><given-names>M.</given-names></name> <name><surname>Dang</surname><given-names>X.</given-names></name> <name><surname>Feng</surname><given-names>S.</given-names></name> <name><surname>Ding</surname><given-names>X.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Correlation analysis between gut microbiota and metabolites in children with systemic lupus erythematosus</article-title>. <source>J Immunol Res</source> <volume>2021</volume>:<fpage>5579608</fpage>. doi: <pub-id pub-id-type="doi">10.1155/2021/5579608</pub-id></citation></ref>
<ref id="ref39"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wu</surname><given-names>Y.</given-names></name> <name><surname>Bai</surname><given-names>Z.</given-names></name> <name><surname>Jin</surname><given-names>Y.</given-names></name> <name><surname>Zhu</surname><given-names>H.</given-names></name> <name><surname>Dong</surname><given-names>Y.</given-names></name> <name><surname>Gu</surname><given-names>S.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>A randomized, double-blind, placebo-controlled clinical study to evaluate the efficacy and safety of <italic>Weizmannia coagulans</italic> BC99 in the treatment of chronic constipation in adults</article-title>. <source>Front. Nutr.</source> <volume>11</volume>:<fpage>1395083</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnut.2024.1395083</pub-id>, PMID: <pub-id pub-id-type="pmid">39119466</pub-id></citation></ref>
<ref id="ref40"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wu</surname><given-names>X.</given-names></name> <name><surname>Yang</surname><given-names>H. J.</given-names></name> <name><surname>Ryu</surname><given-names>M. S.</given-names></name> <name><surname>Jung</surname><given-names>S. J.</given-names></name> <name><surname>Ha</surname><given-names>K.</given-names></name> <name><surname>Jeong</surname><given-names>D. Y.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>Association of mucin-degrading gut microbiota and dietary patterns with colonic transit time in constipation: a secondary analysis of a randomized clinical trial</article-title>. <source>Nutrients</source> <volume>17</volume>:<fpage>138</fpage>. doi: <pub-id pub-id-type="doi">10.3390/nu17010138</pub-id>, PMID: <pub-id pub-id-type="pmid">39796573</pub-id></citation></ref>
<ref id="ref41"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname><given-names>C.</given-names></name> <name><surname>Hu</surname><given-names>T.</given-names></name> <name><surname>Xue</surname><given-names>X.</given-names></name> <name><surname>Su</surname><given-names>X.</given-names></name> <name><surname>Zhang</surname><given-names>X.</given-names></name> <name><surname>Fan</surname><given-names>Y.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Multi-omics analysis of fecal microbiota transplantation's impact on functional constipation and comorbid depression and anxiety</article-title>. <source>BMC Microbiol.</source> <volume>23</volume>:<fpage>389</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12866-023-03123-1</pub-id>, PMID: <pub-id pub-id-type="pmid">38057705</pub-id></citation></ref>
</ref-list>
</back>
</article>