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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2025.1627519</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Gut microbiota changes in postmenopausal women with low bone density linked to serum amino acid metabolism</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Becerra-Cervera</surname>
<given-names>Adriana</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2698700/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jim&#xe9;nez-Ortega</surname>
<given-names>Rogelio F.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Aparicio-Bautista</surname>
<given-names>Diana I.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Palacios-Gonz&#xe1;lez</surname>
<given-names>Berenice</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/474183/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vela-Amieva</surname>
<given-names>Marcela</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1957011/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Ibarra-Gonz&#xe1;lez</surname>
<given-names>Isabel</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1013788/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Canizales-Quinteros</surname>
<given-names>Samuel</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Salmer&#xf3;n</surname>
<given-names>Jorge</given-names>
</name>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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<contrib contrib-type="author">
<name>
<surname>Rivera-Paredez</surname>
<given-names>Berenice</given-names>
</name>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Vel&#xe1;zquez-Cruz</surname>
<given-names>Rafael</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/395529/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Laboratorio de Gen&#xf3;mica del Metabolismo &#xd3;seo, Instituto Nacional de Medicina Gen&#xf3;mica (INMEGEN)</institution>, <addr-line>Mexico City</addr-line>,&#xa0;<country>Mexico</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Secretar&#xed;a de Ciencia, Humanidades, Tecnolog&#xed;a e Innovaci&#xf3;n (SECIHTI)</institution>, <addr-line>Mexico City</addr-line>,&#xa0;<country>Mexico</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Cl&#xed;nica Integral Universitaria (CIU), Universidad Estatal del Valle de Ecatepec (UNEVE), Ecatepec de Morelos</institution>, <addr-line>Estado de Mexico</addr-line>,&#xa0;<country>Mexico</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Departamento de Medicina Gen&#xf3;mica, Instituto Nacional de Rehabilitaci&#xf3;n (INR)</institution>, <addr-line>Mexico City</addr-line>,&#xa0;<country>Mexico</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Laboratorio de Gen&#xf3;mica del Envejecimiento del Instituto Nacional de Medicina Gen&#xf3;mica (INMEGEN), en el Centro de Investigaci&#xf3;n sobre Envejecimiento (CIE-CINVESTAV Sur)</institution>, <addr-line>Mexico City</addr-line>,&#xa0;<country>Mexico</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatr&#xed;a</institution>, <addr-line>Mexico City</addr-line>,&#xa0;<country>Mexico</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Unidad de Gen&#xe9;tica de la Nutrici&#xf3;n, Instituto de Investigaciones Biom&#xe9;dicas, Universidad Nacional Aut&#xf3;noma de M&#xe9;xico (UNAM)</institution>, <addr-line>Mexico City</addr-line>,&#xa0;<country>Mexico</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Unidad de Gen&#xf3;mica de Poblaciones Aplicada a la Salud, Departamento de Biolog&#xed;a, Facultad de Qu&#xed;mica-Universidad Nacional Aut&#xf3;noma de M&#xe9;xico (UNAM)/Instituto Nacional de Medicina Gen&#xf3;mica</institution>, <addr-line>Mexico City</addr-line>,&#xa0;<country>Mexico</country>
</aff>
<aff id="aff9">
<sup>9</sup>
<institution>Centro de Investigaci&#xf3;n en Pol&#xed;ticas, Poblaci&#xf3;n y Salud (CIPPS) de la Facultad de Medicina de la Universidad Nacional Aut&#xf3;noma de M&#xe9;xico (UNAM)</institution>, <addr-line>Mexico City</addr-line>,&#xa0;<country>Mexico</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Silvia Turroni, University of Bologna, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Kirtal Hansdah, Institute of Life Sciences (ILS), India</p>
<p>Jiale Chen, Chengdu University of Traditional Chinese Medicine, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Rafael Vel&#xe1;zquez-Cruz, <email xlink:href="mailto:rvelazquez@inmegen.gob.mx">rvelazquez@inmegen.gob.mx</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1627519</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Becerra-Cervera, Jim&#xe9;nez-Ortega, Aparicio-Bautista, Palacios-Gonz&#xe1;lez, Vela-Amieva, Ibarra-Gonz&#xe1;lez, Canizales-Quinteros, Salmer&#xf3;n, Rivera-Paredez and Vel&#xe1;zquez-Cruz</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Becerra-Cervera, Jim&#xe9;nez-Ortega, Aparicio-Bautista, Palacios-Gonz&#xe1;lez, Vela-Amieva, Ibarra-Gonz&#xe1;lez, Canizales-Quinteros, Salmer&#xf3;n, Rivera-Paredez and Vel&#xe1;zquez-Cruz</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>The gut microbiota (GM) has been linked to changes in bone mineral density (BMD), potentially contributing to the development of osteopenia or osteoporosis. Although the relationship between specific bacterial taxa and bone remodeling has been documented in various populations, data on the Mexican population remain limited. This study aimed to analyze the changes in the taxonomic composition of GM associated with low BMD (osteopenia/osteoporosis) and explore potential mechanisms influencing bone metabolism in Mexican postmenopausal women.</p>
</sec>
<sec>
<title>Methods</title>
<p>BMD was measured by dual-energy X-ray absorptiometry. GM composition was analyzed through 16S rRNA amplicon sequencing in Mexican postmenopausal women. Metabolic functions were predicted using PICRUSt2 based on KEGG pathways at hierarchy level 3. Serum amino acid (AA) concentrations were measured in a sub-sample using tandem mass spectrometry.</p>
</sec>
<sec>
<title>Results</title>
<p>Our findings indicated that beta diversity significantly differed among BMD groups (p&lt;0.05). Women with low BMD showed higher relative abundances of <italic>Bacteroides</italic>, <italic>Parabacteroides</italic>, <italic>Barnesiella</italic>, <italic>Odoribacter</italic>, <italic>Sutterella</italic>, <italic>Butyricimonas</italic>, <italic>Coprobacter</italic>, <italic>Angelakisiella</italic>, and <italic>Oscillibacter</italic>. Functional prediction revealed differences in alanine, valine, leucine, and methionine-related metabolic pathways. These findings were supported by lower serum concentrations of valine, leucine, and methionine in the low BMD group compared to the normal BMD group (p&lt;0.05).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>This study provides evidence of the relationship between GM composition and AA concentrations with changes in BMD. These findings highlight promising areas for the development of potential therapeutic interventions</p>
</sec>
</abstract>
<kwd-group>
<kwd>bone mineral density</kwd>
<kwd>gut microbiota</kwd>
<kwd>postmenopausal women</kwd>
<kwd>amino acids</kwd>
<kwd>bone health</kwd>
</kwd-group>
<contract-sponsor id="cn001">Instituto Nacional de Medicina Gen&#xed;mica<named-content content-type="fundref-id">10.13039/501100013394</named-content>
</contract-sponsor>
<counts>
<fig-count count="5"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="71"/>
<page-count count="14"/>
<word-count count="6210"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Intestinal Microbiome</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Osteoporosis (OP) is a skeletal and systemic disorder characterized by progressive loss of bone mineral density (BMD), microarchitectural deterioration, and decreased bone strength, leading to risk of fractures (<xref ref-type="bibr" rid="B15">Ensrud and Crandall, 2024</xref>). Multiple factors influence bone health include nutritional factors, genetics, metabolic status, and environmental exposures. In recent years, increasing evidence has revealed that gut microbiota (GM) composition plays a pivotal role in the development and progression of OP.</p>
<p>GM promotes the absorption of minerals such as calcium, magnesium, and phosphorus, thereby increasing the BMD through their involvement in the bile acid metabolism and vitamin B and K biosynthesis (<xref ref-type="bibr" rid="B51">Rodr&#xed;guez et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B7">Clarke et&#xa0;al., 2014</xref>). Clinical studies have identified distinct taxonomic shifts in osteoporotic patients compared to healthy controls (<xref ref-type="bibr" rid="B66">Xu et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B49">Qin et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B59">Wang et&#xa0;al., 2022</xref>, <xref ref-type="bibr" rid="B58">2023a</xref>). Evidence demonstrates significant taxonomic differences between the GM of osteoporotic patients and&#xa0;healthy controls. For instance, a higher abundance of Enterobacteriaceae members (e.g., Klebsiella, Citrobacter), a reduced Firmicutes/Bacteroidetes ratio and depletion of beneficial taxa such as <italic>Bifidobacterium</italic>, Lachnospiraceae and <italic>Blautia</italic> have been associated with bone loss (<xref ref-type="bibr" rid="B34">Li et&#xa0;al., 2019b</xref>; <xref ref-type="bibr" rid="B41">Lyu et&#xa0;al., 2023</xref>).</p>
<p>Moreover, functional pathways prediction has revealed depletion of the short-chain fatty acid biosynthesis pathway and increased activity in bacterial peptidase pathway (<xref ref-type="bibr" rid="B36">Ling et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B2">Akinsuyi and Roesch, 2023</xref>). Several studies have demonstrated distinct amino acids (AAs) metabolic signatures associated with enhanced BMD and reduced fracture incidence (<xref ref-type="bibr" rid="B55">Su et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B19">Grahnemo et&#xa0;al., 2023</xref>). A Mendelian randomization study and monozygotic twin research have demonstrated that AAs exert osteogenic effects independently of genetic factors (<xref ref-type="bibr" rid="B27">Jennings et&#xa0;al., 2016</xref>). Despite these advances, most studies have been conducted in Chinese and European populations (<xref ref-type="bibr" rid="B2">Akinsuyi and Roesch, 2023</xref>), with limited data from Latin America. This evidence points out the need to understand the bidirectional nature of host-microbiota-AA interactions in bone homeostasis. Therefore, this study explores the interactions between GM composition and serum metabolites in Mexican postmenopausal women associated with BMD status.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study population</title>
<p>For this analysis, data from the Health Workers Cohort Study (HWCS), collected between 2016 and 2019, were used, which included fecal samples from employees of the Mexican Institute of Social Security (IMSS) and their relatives residing in the urban areas of Central Mexico. Details of the study design and methods have been published previously (<xref ref-type="bibr" rid="B13">Denova-Guti&#xe9;rrez et&#xa0;al., 2016</xref>). Participants with malnutrition, renal damage, or previous report of hormone administration were excluded. Sociodemographic and lifestyle characteristics, as well as detailed medical history, were obtained using a self-administered questionnaire. This study was approved by both the IMSS (no. 12CEI 09 006 14, 17 May 2016) and the National Institute of Genomic Medicine (INMEGEN as per its Spanish acronym) (314-CEI 2018/13, 6 March 2018, and CEI 2023/25, 19 June 2023). All participants gave written informed consent, and all procedures were performed in accordance with the Declaration of Helsinki (13/LO/0078). T-score and Z-score in total hip BMD (TH), lumbar spine (L1-4, LS), and femoral neck (FN) were measured using a Lunar DPX NT dual x-ray absorptiometry (DXA) instrument (Lunar Radiation Corp., Madison WI). The study cohort consisted of 535 participants, of which 20 samples were excluded due to incomplete data and 23 samples were discarded because of insufficient sequencing reads. Participants were stratified into two groups based on their TH-BMD: normal-BMD (T-scores between &#x2212;1.0 and +1) and low-BMD, which included women with osteopenia (T-scores from &#x2212;1.0 to &#x2212;2.5) as well as those diagnosed with osteoporosis (OP) (T-scores below &#x2212;2.5), in accordance with the World Health Organization&#x2019;s (WHO) criteria.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>DNA extraction and 16S rRNA sequencing</title>
<p>Total DNA was extracted using a QIAamp<sup>&#xae;</sup> DNA Stool Minikit or Power Fecal Pro Kit (QIAGEN, Hilden, Germany), following the manufacturer&#x2019;s instructions. The DNA concentration and purity were determined using spectrophotometry (Nanodrop 2000c; Thermo Scientific, Wilmington, DE, USA).</p>
<p>The 16S rRNA gene V4 hypervariable region was sequenced using the &#x201c;Earth Microbiome Project&#x201d; primers 515F and 806R. The libraries were sequenced on the Illumina MiSeq 2 &#xd7; 250 platform (Illumina, San Diego, CA, USA) at the Sequencing Unit of the INMEGEN. Further details are described in our previous study (<xref ref-type="bibr" rid="B38">L&#xf3;pez-Montoya et&#xa0;al., 2023</xref>).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Sequence data processing</title>
<p>Raw fastq files were analyzed using the QIIME2 (Quantitative Insights Into Microbial Ecology 2) pipeline. The data were processed to remove adapters, sequences containing barcode mismatches, or low-quality reads (Phred values &lt; 30) using the DADA2 (v1.20.0). Reads were trimmed at 30 bp, and lengths below 220 bp were discarded. The reads were denoised to group into the Amplicon Sequence Variants (ASVs), and chimeric sequences were removed using the &#x201c;consensus&#x201d; method. Taxonomic classification was assigned using the SILVA v138&#x2013;99 reference database. The ASV&#x2019;s were aligned with the MAFFT algorithm, and a phylogeny tree was built with the FastTree algorithm. All artifacts (ASV table, taxonomy, and tree) and metadata files were imported in R using the qiime2R package (v0.99.34) to generate a phyloseq object. Sequences associated with chloroplast and mitochondria were filtered out. Samples with &lt;10,000 sequence reads were excluded from the study. The random selection of reads for each sample was standardized by rarefaction at 10,584 high-quality read depth.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Bioinformatic analysis</title>
<p>Data analyses were performed in the R environment (v4.2.3). Alpha diversity metrics (observed ASV, Chao1, Shannon, and Simpson) were estimated by the plot_richness function. The diversity among samples (beta diversity) was calculated by Unifrac (unweighted and weighted and principal coordinates analysis (PCoA) was visualized in a two-dimensional component using plot_ordination function. Bar graphs were generated with the relative abundance data by phylum, family, and genera, averaging abundances by groups. The Firmicutes/Bacteroides ratio was measured to indicate gut microbiome dysbiosis. The heat trees analysis was used to examine the differences between age-related BMD and bacterial community composition. The hierarchical structure of taxonomic classifications was quantitatively (using the median abundance) and statistically (using the non-parametric Wilcoxon Rank Sum test) quantified using package metacoder (v. 0.3.5).</p>
<p>The inference of metabolic pathways was predicted with KEGG Orthology (KO) using level three information by Reconstruction of Unobserved States 2 (PICRUST2 v.2.1.3-b). Functional enrichment analysis of differentially abundant gene families was subsequently carried out using Statistical Analysis of Metagenomic Profiles (STAMP) software. Welch&#x2019;s t-test was the default setting for two-group comparisons and p-values were corrected for multiple testing using the Bonferroni method.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Targeted metabolomics analysis</title>
<p>Concentrations of forty serum metabolites acyl-carnitines, free carnitine, and amino acids were measured in a subsample of women with available microbiota data (n=301) using the approach&#xa0;of targeted metabolomics by electrospray tandem mass spectrometry (Quattro Micro API tandem MS, Waters Inc., Milford, MA, USA). Metabolite levels in serum were analyzed using the commercial kit (NeoBase Non-derivatized MS/MS Kit, Perkin Elmer, Waltham, MA, USA), as previously described (<xref ref-type="bibr" rid="B48">Palacios-Gonz&#xe1;lez et&#xa0;al., 2020</xref>).</p>
<p>Briefly, 20 &#xb5;L of serum from the postmenopausal women included in the study were poured onto filter paper cards (Whatman 903, Dassel, Germany) and dried at room temperature. The spot was cut into 2-mm circles and placed in a 96-well plate. The extraction solution was added to the plate and incubated for 30 min at 30&#xb0;C at 650&#xd7; g. Finally, 10 &#xb5;L of each sample were injected into the flow at 4-min intervals. The Micromass Quattro equipment (Waters Inc., Milford, MA, USA) was used coupled to an ESI source in positive mode. Nitrogen gas was used for desolvation and nebulization, and argon as the collision gas.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Statistical analysis</title>
<p>Data on body measurements, biochemical tests, and BMD measurements are presented as the median and interquartile range (P25-P75). Differential abundance analysis at all taxonomic levels was performed with the linear discriminant analysis effect size (LEfSe v1.0) via microbiomeMarker R package, an LDA score of at least 1.5, and a p &lt; 0.05 to determine what was statistically significant. A permutational multivariate analysis of variance (PERMANOVA) test was used to determine differences between groups using the adonis2 function. Differential analyses between groups were performed with the Wilcoxon test or chi2 test, with p &lt; 0.05 indicating a significant difference. All plots were generated using the ggplot2 package.</p>
<p>A Spearman correlation heatmap was created to assess possible correlations between gut microbiota and clinical data. The correlations between different AA concentrations and the bacterial taxa were calculated using the Spearman test on R software (v3.3.1) using &#x201c;vegan&#x201d; and &#x201c;ggcor&#x201d; packages. A p &lt; 0.05 was considered to indicate statistical significance.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Characteristics of the study population</title>
<p>As shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>, the demographic and clinical characteristics of 535 women were analyzed. The median age was 60 years (P25-P75, 54-67), with a prevalence of overweight and obesity of 41.5% and 28.4%, respectively. Based on T-scores criteria, participants were classified into normal-BMD (n=344) and low-BMD (n=191) groups. Significant differences were observed in BMD values at the total hip, femoral neck, and lumbar spine. Furthermore, BMI, body fat proportion, waist circumference, uric acid, ALT, and calcium supplementation differed significantly between the groups.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Demographic and clinical characteristics of selected postmenopausal women of the Health Workers Cohort Study.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center" rowspan="2">Variable</th>
<th valign="middle" align="center">Total</th>
<th valign="middle" align="center">Normal-BMD</th>
<th valign="middle" align="center">Low-BMD</th>
<th valign="middle" align="center" rowspan="2">P value</th>
</tr>
<tr>
<th valign="middle" align="center">n=535</th>
<th valign="middle" align="center">n=344</th>
<th valign="middle" align="center">n=191</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Age<sup>a</sup>,years</td>
<td valign="middle" align="center">60.0 (54.0-67.0)</td>
<td valign="middle" align="center">57.0 (51.0-64.0)</td>
<td valign="middle" align="center">63.0 (59.0-71.0)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Age categories, n (%)</th>
</tr>
<tr>
<td valign="middle" align="center">&lt;47 years</td>
<td valign="middle" align="center">43 (8.0)</td>
<td valign="middle" align="center">40 (11.6)</td>
<td valign="middle" align="center">3 (1.6)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">47&#x2013;60 years</td>
<td valign="middle" align="center">237 (44.3)</td>
<td valign="middle" align="center">176 (51.2)</td>
<td valign="middle" align="center">61 (31.9)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">60&#x2013;65 years</td>
<td valign="middle" align="center">94 (17.6)</td>
<td valign="middle" align="center">54 (15.7)</td>
<td valign="middle" align="center">40(21.0)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">&gt;65 years</td>
<td valign="middle" align="center">161 (30.1)</td>
<td valign="middle" align="center">74 (21.5)</td>
<td valign="middle" align="center">87(45.5)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">BMI<sup>a</sup>, kg/m<sup>2</sup>
</td>
<td valign="middle" align="center">27.2 (24.4-30.9)</td>
<td valign="middle" align="center">28.3 (25.8-32.0)</td>
<td valign="middle" align="center">25.0 (22.8-28.1)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Nutritional status, n(%)</th>
</tr>
<tr>
<td valign="middle" align="center">Normal</td>
<td valign="middle" align="center">161 (30.1)</td>
<td valign="middle" align="center">66 (19.2)</td>
<td valign="middle" align="center">95 (49.7)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="center">Overweight</td>
<td valign="middle" align="center">222 (41.5)</td>
<td valign="middle" align="center">152 (44.2)</td>
<td valign="middle" align="center">70 (36.6)</td>
<td valign="middle" align="center">0.09</td>
</tr>
<tr>
<td valign="middle" align="center">Obesity</td>
<td valign="middle" align="center">152 (28.4)</td>
<td valign="middle" align="center">126 (36.6)</td>
<td valign="middle" align="center">26 (13.6)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="center">Body fat proportion<sup>a</sup>
</td>
<td valign="middle" align="center">45.5 (41.4-49.8)</td>
<td valign="middle" align="center">46.4 (42.7-50.3)</td>
<td valign="middle" align="center">44.0 (39.4-47.3)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="center">Waist circumference<sup>a</sup>, cm</td>
<td valign="middle" align="center">92.0 (85.0-99.0)</td>
<td valign="middle" align="center">94.0 (87.5-101.0)</td>
<td valign="middle" align="center">87.0 (82.0-95.0)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="center">Uric acid <sup>a</sup>, mg/dl</td>
<td valign="middle" align="center">5.0 (4.2-5.8)</td>
<td valign="middle" align="center">5.1 (4.3-6.0)</td>
<td valign="middle" align="center">4.7 (4.1-5.5)</td>
<td valign="middle" align="center">0.0009</td>
</tr>
<tr>
<td valign="middle" align="center">ALT <sup>a</sup>, U/L</td>
<td valign="middle" align="center">26.0 (19.0-36.0)</td>
<td valign="middle" align="center">28.0 (20.0-40.0)</td>
<td valign="middle" align="center">23.0 (18.0-30.0)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="center">AST <sup>a</sup>, U/L</td>
<td valign="middle" align="center">25.0 (22.0-32.0)</td>
<td valign="middle" align="center">26.0 (22.0-33.0)</td>
<td valign="middle" align="center">25.0 (22.0-31.0)</td>
<td valign="middle" align="center">0.5443</td>
</tr>
<tr>
<td valign="middle" align="center">Total cholesterol <sup>a</sup>, mg/dl</td>
<td valign="middle" align="center">202.0 (174.0-232.0)</td>
<td valign="middle" align="center">201.5 (172.0-232.0)</td>
<td valign="middle" align="center">202.0 (176.0-234.0)</td>
<td valign="middle" align="center">0.5726</td>
</tr>
<tr>
<td valign="middle" align="center">Triglycerides <sup>a</sup>, mg/dl</td>
<td valign="middle" align="center">142.0 (107.0-197.0)</td>
<td valign="middle" align="center">145.5 (114.0-202.0)</td>
<td valign="middle" align="center">136.0 (96.0-191.0)</td>
<td valign="middle" align="center">0.0501</td>
</tr>
<tr>
<td valign="middle" align="center">HDL <sup>a</sup>, mg/dl</td>
<td valign="middle" align="center">52.8 (44.0-61.5)</td>
<td valign="middle" align="center">52.1 (43.4-60.1)</td>
<td valign="middle" align="center">53.5 (46.4-64.4)</td>
<td valign="middle" align="center">0.165</td>
</tr>
<tr>
<td valign="middle" align="center">LDL <sup>a</sup>, mg/dl</td>
<td valign="middle" align="center">116.0 (93.9-141.9)</td>
<td valign="middle" align="center">115.8<break/>(93.2-143.8)</td>
<td valign="middle" align="center">116.8<break/>(95.8-139.3)</td>
<td valign="middle" align="center">0.643</td>
</tr>
<tr>
<td valign="middle" align="center">Total hip BMD<sup>a</sup>, g/cm<sup>2</sup>
</td>
<td valign="middle" align="center">0.936 (0.827-1.030)</td>
<td valign="middle" align="center">1.003 (0.945-1.079)</td>
<td valign="middle" align="center">0.798 (0.738-0.835)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="center">Lumbar spine BMD<sup>a</sup>, g/cm<sup>2</sup>
</td>
<td valign="middle" align="center">1.027 (0.926-1.137)</td>
<td valign="middle" align="center">1.093 (1.002-1.180)</td>
<td valign="middle" align="center">0.925 (0.849-1.012)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="center">Femoral neck BMD<sup>a</sup>, g/cm<sup>2</sup>
</td>
<td valign="middle" align="center">0.890 (0.784-0.983)</td>
<td valign="middle" align="center">0.955 (0.889-1.022)</td>
<td valign="middle" align="center">0.757 (0.712-0.809)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="center">T-score <sup>a</sup>, total hip</td>
<td valign="middle" align="center">-0.572 (-1.432,0.176)</td>
<td valign="middle" align="center">-0.041 (-0.497,0.566)</td>
<td valign="middle" align="center">-1.661 (-2.141,-1.367)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="center">T-score<sup>a</sup>, lumbar spine</td>
<td valign="middle" align="center">-1.416 (-2.277,-0.604)</td>
<td valign="middle" align="center">-0.920 (-1.696,-0.206)</td>
<td valign="middle" align="center">-2.299 (-2.882,-1.563)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="center">T-score<sup>a</sup>, femoral neck</td>
<td valign="middle" align="center">-1.064 (-1.821,-0.394)</td>
<td valign="middle" align="center">-0.599 (-1.069,-0.115)</td>
<td valign="middle" align="center">-2.019 (-2.327,-1.644)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="center">Vitamin D intake<sup>a</sup>, UI/day</td>
<td valign="middle" align="center">106.9 (64.7-156.8)</td>
<td valign="middle" align="center">108.5 (61.8-155.1)</td>
<td valign="middle" align="center">104.1 (69.0-157.8)</td>
<td valign="middle" align="center">0.8378</td>
</tr>
<tr>
<td valign="middle" align="center">Calcium intake<sup>a</sup>, mg/day</td>
<td valign="middle" align="center">793.0 (575.9-1120.3)</td>
<td valign="middle" align="center">780.8 (574.9-1105.1)</td>
<td valign="middle" align="center">799.8 (584.9-1124.1)</td>
<td valign="middle" align="center">0.4175</td>
</tr>
<tr>
<td valign="middle" align="center">Calcium supplementation, n(%)</td>
<td valign="middle" align="center">97 (18.1)</td>
<td valign="middle" align="center">45 (13.1)</td>
<td valign="middle" align="center">52 (27.2)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="center">Vitamin D supplementation, n(%)</td>
<td valign="middle" align="center">51 (9.5)</td>
<td valign="middle" align="center">28 (8.1)</td>
<td valign="middle" align="center">23 (12.0)</td>
<td valign="middle" align="center">0.1409</td>
</tr>
<tr>
<td valign="middle" align="center">Missing</td>
<td valign="middle" align="center">59 (11.0)</td>
<td valign="middle" align="center">36 (10.5)</td>
<td valign="middle" align="center">23 (12.0)</td>
<td valign="middle" align="center">0.577</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Gut microbiota characterization</title>
<p>A total of 23,698,249 high-quality paired sequences were obtained from fecal samples, with an average sequencing depth of 52,662 (range 10,589 &#x2013;149,109), which were clustered into 7902 ASVs. Phylogenetic characterization was associated with 13 phyla, 98 families, and 305 genera in the data set. There were no significant differences in microbial richness and alpha diversities between BMD groups (p &gt; 0.05). However, principal-coordinate analysis (PCoA) unweighted and weighted UniFrac distance for beta diversity showed significant differences (p &lt; 0.01) of the bacterial communities between groups (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Alpha and beta diversity measures in microbiota structure between in low-BMD and normal-BMD groups. <bold>(A)</bold> Alpha diversity measures with the most common indices. <bold>(B)</bold> PCoA plots showing the beta diversity with unweighted and weighted UniFrac measures. Blue: Normal -BMD samples, red: Low-BMD. Box plots show median, as well as lower and upper quartiles. Each dot represents an individual sample.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1627519-g001.tif">
<alt-text content-type="machine-generated">Graph A shows box plots for alpha diversity measures (Observed, Chao1, Shannon, Simpson) comparing Normal-BMD and Low-BMD groups, with p-values 0.77, 0.91, 0.33, and 0.18 respectively. Graph B shows scatter plots for Weighted and Unweighted UniFrac analyses, with Normal-BMD and Low-BMD groups represented by distinct colors, displaying clusters along two axes with respective percentages.</alt-text>
</graphic>
</fig>
<p>Taxonomic analysis of the bacterial community showed that the dominant phyla in both study groups were Firmicutes (70.8% in the normal and 65% in the low-BMD groups), followed by Bacteroidota (20.3% and 25.4% in the normal and low BMD groups, respectively) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure 1</bold>
</xref>). The predominant families were Lachnospiraceae (36.6% of the normal and 32.9% of the low BMD groups), Bacteroidaceae (10.4% of the normal and 14.7% of the low BMD groups) and Ruminococcaceae (12.1% and 10.1%, in the normal and low BMD groups, respectively). At genus level, <italic>Bacteroides</italic> (10.4% and 14.7% in the normal and low BMD groups, respectively), and <italic>Prevotella</italic> (6.7% and 6.1%) were the most abundant taxa in the normal and low BMD groups, respectively (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure 1</bold>
</xref>).</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Differences in the abundance of gut bacteria between BMD groups</title>
<p>
<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref> shows that 15 and 23 genera were enriched in the low-BMD and normal-BMD, respectively. Several genera, including <italic>Bacteroides</italic>, <italic>Parabacteroides</italic>, <italic>Barnesiella</italic>, <italic>Odoribacter</italic>, <italic>Sutterella, Butyricimonas</italic>, <italic>Coprobacter</italic>, <italic>Angelakisiella</italic>, <italic>and Oscillibacter</italic> were significantly more abundant in the low compared to the normal-BMD group (p &lt; 0.05) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures 2, 3</bold>
</xref>). In contrast, <italic>Agathobacter</italic>, <italic>Subdogranulum</italic>, and <italic>Dorea</italic>, belonging to Firmicutes phylum, were enriched in the normal-BMD group. The Firmicutes/Bacteroidota ratio was significantly decreased in the low-BMD group (p=0.013) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure 4</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The linear discriminant analysis (LDA) effect size (LEfSe) of genera between normal-BMD and low-BMD women. Genus with LDA score &gt; 1.5 and p &lt; 0.05 are shown.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1627519-g002.tif">
<alt-text content-type="machine-generated">Bar chart displaying LDA scores for different bacterial genera linked to bone mineral density (BMD). Genera associated with normal BMD are shown in green, while those linked to low BMD are in orange.</alt-text>
</graphic>
</fig>
<p>To explore potential age-related microbiota differences, women were divided into three groups: youngest-old (47&#x2013;60 years), middle-old (61&#x2013;65 years), and oldest-old (&gt; 65 years). Oscillospiracae (<italic>Oscillibacter</italic>, <italic>Flavonifactor</italic>), <italic>Clostridia_UCG-014</italic>, <italic>Barnesiella</italic>, Prevotellaceae clade (Prevotella) were enriched in youngest-old low-BMD compared to normal BMD (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>); meanwhile, Peptostreptococcales-Tissierellaes clade, Bacilli (<italic>Enterococcus</italic>, <italic>Lactobacillus</italic>) and Lachnospiraceae (<italic>Agathobacter</italic>, <italic>Marvinbryantia</italic>) were enriched in the normal-BMD group (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). While <italic>Veillonella</italic>, <italic>Paraprevotella</italic>, and <italic>Oscillibacter</italic> were enriched in middle-old women with low-BMD when compared to women of the same age with normal-BMD (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). The taxa composition of low-BMD in oldest-old showed that <italic>Bifidobacterium</italic>, <italic>Escherichia-Shigella</italic>, as well as Veillonellaceae and Gammaproteobacteria clades were enriched in comparison with normal-BMD of the same age (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure 5</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table 1</bold>
</xref>). In line, <italic>Bacteroides</italic> and <italic>Sutterella</italic> were significantly enriched in low-BMD between aged groups.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Effects of age-related BMD on bacterial community composition. Heat tree for pair-wise comparison of BMD status, divided by age, <bold>(A)</bold> middle-age women (ages 47&#x2013;60 years), <bold>(B)</bold> middle-old women (60&#x2013;65 years), and <bold>(C)</bold> old women (&gt;65 years). The color of each taxon indicates the log-2 ratio of proportions observed in each condition. Taxa colored green are enriched in the low-BMD group and those colored brown are enriched in the normal-BMD group. Peptostreptococcales-Tissierellaes (a) colored brown were enriched in the normal-BMD group; meanwhile, the Barnesiella and Oscillospiracae (Oscillibacter, Flavonifactor) group colored green were enriched in the low-BMD group. a: Peptostreptococcales-Tissierellaes, b: Bacilli (<italic>Enterococcus</italic>, <italic>Lactobacillus</italic>), c: <italic>Barnesiella</italic>, d: Oscillospiracae (<italic>Oscillibacter</italic>, <italic>Flavonifactor</italic>), e: <italic>Clostridia_UCG-014</italic>, f: Prevotellaceae (<italic>Prevotella</italic>), g: Lachnospiraceae (<italic>Agathobacter</italic>, <italic>Marvinbryantia</italic>), h: Negativicutes (<italic>Phascolarctobacterium</italic>), i: <italic>Sutterella</italic>, j: Erysipelotrichaceae (<italic>Holdemania</italic>), k: <italic>Veillonella</italic>, m: Veilloneaceae, n: <italic>Bifidobacterium</italic>, o: <italic>Paraprevotella</italic>, p: <italic>Escherichia-Shigella</italic>, q: <italic>Bacteroides</italic>. For more details consult the heat tree base in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure 5</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table 1</bold>
</xref>. Only those taxa that were statistically significant using the Wilcox rank sum test.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1627519-g003.tif">
<alt-text content-type="machine-generated">Circular phylogenetic trees labeled A, B, and C, each displaying branches representing nodes and OTUs (Operational Taxonomic Units) in varying shades of teal and brown. The colors indicate log two ratio median proportions, with a gradient bar showing nodes from one to 318 OTUs. Each tree includes labeled branches, a through q.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Association between serum metabolites and BMD status</title>
<p>A total of 26 metabolic pathways were enriched between low-BMD and normal-BMD groups. The low-BMD group showed enrichment in pathways associated with lipoic acid metabolism, valine, leucine, and isoleucine degradation, ubiquinone and other terpenoid-quinone biosynthesis, beta-alanine, taurine, hypotaurine, phosphonate, phosphinate, and biotin metabolism. In contrast, the microbiota of normal-BMD had pathways involved in pantothenate and CoA biosynthesis, valine, leucine, and isoleucine biosynthesis, thiamine, glycerolipid, lysine, cysteine, and methionine metabolism. Targeted metabolomic analyses revealed significantly lower valine, leucine and methionine concentrations in women with low BMD compared to those with normal-BMD (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Enrichment analysis pathways and serum amino acid concentrations between in low-BMD and normal-BMD groups. <bold>(A)</bold> Predicted differential KEGG pathways in low-BMD and normal-BMD groups. The extended error bar plot shows significantly differential KEGG pathways predicted using PICRUSt2 analysis and visualized using the STAMP software. Only p values of &lt;0.05 based on Welch&#x2019;s test are shown. <bold>(B)</bold> The box plot shows the serum amino acid concentrations with significantly different concentrations between groups.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1627519-g004.tif">
<alt-text content-type="machine-generated">Bar graphs and box plots present data comparing metabolic pathways and amino acid concentrations between normal-BMD and low-BMD groups. A shows the proportion and confidence intervals of various pathways, while B displays box plots for VL, LEU, MET, and ALA, with statistical significance noted between groups.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Correlation analysis of genera bacteria abundance, BMD measurements and amino acid concentrations</title>
<p>Five genera, including <italic>Dorea</italic>, Ruminococcus torques group, <italic>Agathobacter</italic>, <italic>Coprococcus</italic>, and CAG-56 showed a positive association with BMD at three specific sites (HT, LS and FN) BMD and T-score (p &lt; 0.05). In contrast, a negative correlation was observed between two sites, hip and FN BMD and T-score with the <italic>Bacteroides</italic>, <italic>Parabacteroides</italic>, <italic>Odoribacter</italic>, <italic>Coprobacter</italic>, and <italic>Butyricimonas</italic> genera. Several genera including Lachnospiraceae ND3007 group, <italic>Turicibacter, Romboutsia, Fusicatenibacter</italic>, <italic>Anaerostipes, Dorea</italic>, <italic>Ruminococcus torques group</italic>, <italic>Coprococcus</italic>, <italic>Clostridium sensu stricto 1</italic>, and CAG-56 were negatively correlated with age (p &lt; 0.05) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). In total, 13 genera showed a significant correlation with BMI.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Heatmap of partial Spearman&#x2019;s rank correlation analysis between differential bacterial genera and clinical characteristics. Red squares indicate positive correlations, and blue squares indicate negative correlations. <italic>Bacteroides</italic> genus abundance was negatively correlated with BMI, Hip-BMD, FN-BMD, Hip T-score and FN T-score. <italic>Coprococcus</italic> genus abundance was negatively correlated with age and in a positive manner with BMD (Hip, LS, and FN) and T-score (Hip, LS and FN). BMD: bone mineral density: HDL-C: high-cholesterol lipoprotein cholesterol; FN, femoral neck; LS, lumbar spine; BMI: body mass index. *p &lt; 0.05, **p &lt; 0.01, and ***p &lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1627519-g005.tif">
<alt-text content-type="machine-generated">Heatmap showing the Spearman correlation coefficients between various genera and health-related variables such as age, BMI, HDL-c, and bone mineral density (BMD) scores. Color gradient ranges from blue (negative correlation) to red (positive correlation), with significance levels indicated by asterisks.</alt-text>
</graphic>
</fig>
<p>Correlation analysis between GM and AA concentrations revealed that genera such as <italic>Subdoligranulum</italic>, <italic>Agathobacter</italic>, Lachnospiraceae_UCG-010, and Lachnospiraceae NK4A136, were positively correlated with serum leucine or valine (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure 6</bold>
</xref>). While, <italic>Eubacterium siraeum</italic>, RF39, UCG-005, and Muribaculaceae were negatively correlated with these amino acids. Methionine showed positive associations with <italic>Allisonella</italic> and <italic>Hodelmania</italic> but negative association with RF39 and <italic>Eubacterium siraeum</italic>. Furthermore, alanine was negatively correlated with Oscillospiraceae, while valine was positively correlated with the Bacteroidaceae family (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure 7</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>This is the first large-scale study analyzing the influence of GM diversity, functional pathways, and metabolomics on bone metabolism in Mexican postmenopausal women with low BMD. Our findings revealed a higher abundance of the genera <italic>Bacteroides</italic>, <italic>Parabacteroides</italic>, <italic>Barnesiella</italic>, <italic>Odoribacter</italic>, <italic>Sutterella</italic>, <italic>Butyricimonas</italic>, <italic>Coprobacter, Angelakisiella</italic>, and <italic>Oscillibacter</italic> associated with low-BMD. Consistent with our findings, previous studies have reported an increased abundance of <italic>Bacteroides</italic> abundance in Asian and Chinese postmenopausal women with low BMD (osteopenia (OS) and osteoporosis (OP) at the femoral neck (FN) or lumbar spine (LS) (<xref ref-type="bibr" rid="B60">Wang et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B63">Wei et&#xa0;al., 2021b</xref>; <xref ref-type="bibr" rid="B2">Akinsuyi and Roesch, 2023</xref>). However, contradictory results have been reported in Chinese individuals with decreased BMD (<xref ref-type="bibr" rid="B47">Ozaki et&#xa0;al., 2021</xref>) and postmenopausal women with fractures (<xref ref-type="bibr" rid="B68">Yan et&#xa0;al., 2024</xref>). <italic>Parabacteroides</italic> spp. have been found enriched in postmenopausal women with OS and OP across multiple Chinese cohorts (<xref ref-type="bibr" rid="B61">Wang et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B23">He et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B64">Wei et&#xa0;al., 2021a</xref>). In addition, in the FINRISK 2002 cohort, <italic>Parabacteroides</italic> was identified as fractures risk factor (<xref ref-type="bibr" rid="B19">Grahnemo et&#xa0;al., 2023</xref>). Research supports the potential role of Parabacteroides in modulating host metabolism. For instance, Wang et&#xa0;al., demonstrated that <italic>P. distasonis</italic> influences bile acid metabolism and succinate production, which may contribute to reduced weight gain (<xref ref-type="bibr" rid="B57">Wang et&#xa0;al., 2019</xref>). However, further studies are needed to verify these findings and determine whether this association varies by age, gender, or specific microbial strains.</p>
<p>Growing evidence has shown that <italic>Barnesiella</italic>, <italic>Oscillibacter</italic>, and <italic>Odoribacter</italic> might be the key players in the progression of OS and OP in postmenopausal women. Kuo et&#xa0;al., reported that <italic>Barnesiella</italic>, and <italic>Oscillibacter</italic> are OP-associated (n = 21) in Taiwanese postmenopausal women (<xref ref-type="bibr" rid="B28">Kuo et&#xa0;al., 2023</xref>). A large-scale ethnic GWAS - microbiota study (n=34,024 individuals) reported that the <italic>Barnesiella</italic> genus was found to be a risk factor for BMD for individuals &gt;60 years old (<xref ref-type="bibr" rid="B62">Wang et&#xa0;al., 2023b</xref>). In line, the genus <italic>Oscillibacter</italic> was increased in postmenopausal women with reduced BMD (<xref ref-type="bibr" rid="B42">Ma et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B68">Yan et&#xa0;al., 2024</xref>). However, contradictory results have been reported in Chinese postmenopausal women with OP (<xref ref-type="bibr" rid="B14">Dong et&#xa0;al., 2024</xref>). The presence of <italic>Oscillibacter</italic> in the gut is controversial. It may be positively influenced by the intake of soluble corn fiber, which is associated with enhanced calcium absorption (<xref ref-type="bibr" rid="B26">Jakeman et&#xa0;al., 2016</xref>). In addition, our results demonstrated a negative association between <italic>Odoribacter</italic> and BMD in postmenopausal women. This phenomenon was also observed in peri, and early postmenopausal women (<xref ref-type="bibr" rid="B20">Greenbaum et&#xa0;al., 2022</xref>). Lai et&#xa0;al., found <italic>Odoribacter</italic> sp<italic>lanchnicus</italic> was significantly higher in Chinese male/female with osteoporosis than in the normal bone density (<xref ref-type="bibr" rid="B29">Lai et&#xa0;al., 2024</xref>). A positive correlation between <italic>Odoribacter</italic> and the number of osteoclasts in femoral tissue in the OVX rat model suggests an essential role in bone resorption. Furthermore, a negative association with Foxp3 expression indicates a potential disruption of immune regulation and a proinflammatory intestinal environment (<xref ref-type="bibr" rid="B71">Zhu et&#xa0;al., 2024</xref>). However, contradictory results show that <italic>Odoribacter</italic> abundance was significantly lower in Chinese postmenopausal women with OP than in the normal BMD group (<xref ref-type="bibr" rid="B35">Liang et&#xa0;al., 2023</xref>). Although the data suggest that an increased abundance of <italic>Oscillibacter</italic> and <italic>Odoribacter</italic> may be linked to bone resorption and a proinflammatory gut environment, the contradictory results in different populations suggest that the relationship between GM and bone health is complex.</p>
<p>The <italic>Sutterella</italic> genus was also predominant among aged groups with low BMD. <italic>Sutterella</italic>, a member of the phylum Proteobacteria, may contribute to non-specific mucosal inflammation due to lipopolysaccharides acting as potent stimulators, potentially predisposing the host to a chronic inflammatory disease and its ability to degrade immunoglobulin A (IgA) (<xref ref-type="bibr" rid="B24">Hiippala et&#xa0;al., 2016</xref>). This degradation, mediated by IgA-specific serine endopeptidases, may facilitate bacterial invasion and persistence within host cells (<xref ref-type="bibr" rid="B24">Hiippala et&#xa0;al., 2016</xref>). A possible mechanism suggested that <italic>Sutterella</italic> may produce various metabolites such as short-chain fatty acids (SCFAs)or indirect effects through autoimmune-related bone density alterations (<xref ref-type="bibr" rid="B56">Tyagi et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B5">Cao et&#xa0;al., 2021</xref>). However, the precise role of this taxon in bone metabolism remains unclear and warrants further investigation.</p>
<p>The association between physiological parameters and gut microbial community is complex and not fully understood. Previous studies have reported that BMI and BMD alter gut microbial community structure. In our research, Bacteroidota members, including <italic>Bacteroides</italic>, <italic>Parabacteroides</italic>, <italic>Coprobacter</italic>, and <italic>Odoribacter</italic>, were negatively correlated with age and BMD measurements. This supports the hypothesis that these taxa could be responsible for changing the microbial diversity structure and may contribute to bone loss.</p>
<p>Multiple studies highlight short-chain fatty acids (SCFAs) as key regulators of bone composition (<xref ref-type="bibr" rid="B22">Han et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B40">Lucas et al., 2018</xref>). Our study identified SCFA producers, including <italic>Butyricimonas</italic>, and <italic>Coprobacter</italic> in the low-BMD group. In contrast, Qin et&#xa0;al., found <italic>Butyricimonas</italic> decrease in older adults with OP (n=88). Notably, the decline in butyrate-producing taxa (Lachnospiraceae and Ruminococcaceae) in our low-BMD group aligns with findings in other postmenopausal populations (<xref ref-type="bibr" rid="B33">Li et&#xa0;al., 2019a</xref>; <xref ref-type="bibr" rid="B69">Zaplana et&#xa0;al., 2024</xref>). Mechanistically, SCFAs (butyrate and propionate) directly suppress osteoclast differentiation by binding to receptors on osteoclast precursors, as demonstrated <italic>in vitro</italic> (<xref ref-type="bibr" rid="B67">Yan et&#xa0;al., 2018</xref>). However, while SCFAs inhibit osteoclast formation, they may lack efficacy against mature osteoclasts (<xref ref-type="bibr" rid="B65">Wu et&#xa0;al., 2023</xref>).</p>
<p>SCFAs may influence bone homeostasis providing a direct link between the gut microbiota and bone via immunomodulatory response (<xref ref-type="bibr" rid="B56">Tyagi et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B34">Li et&#xa0;al., 2019b</xref>). Propionate and butyrate act as histone deacetylase (HDAC) inhibitors, modulating NF-&#x3ba;B activity to exert anti-inflammatory effects. Butyrate enhances IL-10 production while suppressing proinflammatory cytokines (IL-12, TNF-&#x3b1;, IL-1&#x3b2;, and NO) and dampening inflammatory responses in intestinal macrophages (<xref ref-type="bibr" rid="B37">Liu et al., 2023</xref>). SCFAs promote the differentiation of naive T cells into Th1 and Th17 effector cells, likely through their HDAC-inhibiting effects. In this regard, certain <italic>Bacteroides</italic> and <italic>Bifidobacterium</italic> strains could contribute to IFN&#x3b1; production (<xref ref-type="bibr" rid="B54">Schirmer et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B39">L&#xf3;pez et&#xa0;al., 2010</xref>) by producing SCFAs and exopolysaccharides (<xref ref-type="bibr" rid="B1">Ai et al., 2021</xref>). For instance, <italic>Bifidobacterium bifidum</italic> strains enhance IL-17 secretion while suppressing IFN&#x3b3; and TNF&#x3b1;, suggesting a possible Th17 profile. Conversely, <italic>Bifidobacterium pseudocatenulatum</italic> and <italic>Bifidobacterium adolescentis</italic> exhibit an opposite correlation with IFN&#x3b1; and TNFg (<xref ref-type="bibr" rid="B54">Schirmer et&#xa0;al., 2016</xref>), and <italic>Bifidobacterium longum</italic> exhibits protective effects by suppressing osteoclastogenesis and increasing bone mass density in experimental models (<xref ref-type="bibr" rid="B53">Sapra et&#xa0;al., 2022</xref>). Unexpectedly, higher <italic>Bifidobacterium</italic> abundance was associated with low BMD in our data, underscoring the need to elucidate strain-level mechanisms and contextual interactions within the gut-bone axis. Additionally, previous studies have reported that <italic>Odoribacter</italic> and <italic>Barnesiella</italic>, both Gram-negative bacteria, exhibit a negative correlation with TNF&#x3b1; production in response to LPS, stimulated ex vivo (<xref ref-type="bibr" rid="B54">Schirmer et&#xa0;al., 2016</xref>). This finding contrasts with our initial expectations and highlights the need for further environment analysis of bacterial interactions to clarify the bone-specific roles of immunomodulatory taxa and optimize SCFA-targeted interventions for skeletal health.</p>
<p>The Firmicutes/Bacteroidota (F/B) ratio has been associated with maintaining homeostasis, and changes in this ratio can lead to various pathologies. For example, increases in the abundance of specific Firmicutes or Bacteroidetes species lead to obesity (<xref ref-type="bibr" rid="B7">Clarke et&#xa0;al., 2014</xref>). In low BMD the results are contradictory. A meta-analysis (175 healthy controls vs. 177 OP patients) from five studies found no significant differences in the F/B ratio between groups (<xref ref-type="bibr" rid="B2">Akinsuyi and Roesch, 2023</xref>). In contrast, our study, observed a significantly decreased F/B ratio in the low BMD group. Similar data have been reported in Chinese postmenopausal women (&gt;64 years) (<xref ref-type="bibr" rid="B61">Wang et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B33">Li et&#xa0;al., 2019a</xref>). These discrepancies may reflect variations in gut microbiota composition across different populations, size sample (<xref ref-type="bibr" rid="B61">Wang et&#xa0;al., 2017</xref>, <xref ref-type="bibr" rid="B59">2022</xref>, <xref ref-type="bibr" rid="B58">2023a</xref>; <xref ref-type="bibr" rid="B11">Das et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B23">He et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B48">Palacios-Gonz&#xe1;lez et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B66">Xu et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B49">Qin et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B50">Rettedal et&#xa0;al., 2021</xref>), and methodological such as DNA extraction protocols, 16S rRNA gene targeted for amplification, and quality filtering parameters (e.g. Phred score). Maintaining a balanced intestinal ecosystem is crucial for normal body function, and many therapeutic strategies aim to achieve a suitable Firmicutes to Bacteroidetes (F/B) ratio.</p>
<p>The functional profiling of microbial communities reveals significant insights into metabolic pathways associated with bone health. In this study, the metabolic pathway analysis shows a significant depletion of valine, leucine, and methionine pathways in women with low BMD. Evidence suggests that the gut microbiota composition explains 19% of the variance of circulating, branched-chain amino acid (valine, leucine and isoleucine) (BCAA) concentrations (<xref ref-type="bibr" rid="B12">Dekkers et&#xa0;al., 2022</xref>). An enriched of Bacteroidaceae could explain the differences in serum BCAA concentrations between the groups, potentially contributing to bone loss. Similarly, a large population-based study (n=1776) reported negative correlations between leucine and valine concentrations and BMD in a Chinese population with OS and OP. The authors proposed that enrichment of ABPVCR consortium (<italic>Actinobacillus</italic> &#x2013;<italic>Bacteroides</italic> &#x2013; <italic>Phascolarctobacterium</italic> &#x2013; <italic>Veillonellaceae</italic> &#x2013; <italic>Collinsella</italic> - Ruminococcaceae) is associated with BCAAs degradation (<xref ref-type="bibr" rid="B36">Ling et&#xa0;al., 2021</xref>). Interestingly, Wang et&#xa0;al., identify fecal metabolites D-alanyl-D-alanine and serum serine-valine as inversely correlated with BMD (<xref ref-type="bibr" rid="B58">Wang et&#xa0;al., 2023a</xref>), confirming our results and reinforcing the link between microbial metabolism and bone health.</p>
<p>The potential benefits of BCAAs in bone maintenance have been extensively documented, highlighting their role in preserving bone integrity and supporting muscle-bone crosstalk (<xref ref-type="bibr" rid="B70">Zhao et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B55">Su et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B19">Grahnemo et&#xa0;al., 2023</xref>). Leucine, in particular, enhances mTOR-mediated protein synthesis, promoting osteoblast activity and bone formation while reducing bone resorption markers (<xref ref-type="bibr" rid="B27">Jennings et&#xa0;al., 2016</xref>). Meanwhile, valine has also been strongly correlated with bone health since it shares metabolic pathways with leucine, and has been proposed to exert a protective effect against fractures (<xref ref-type="bibr" rid="B19">Grahnemo et&#xa0;al., 2023</xref>). Additionally, dietary methionine supplementation improves hepatic steatosis, insulin resistance, inflammation, fibrosis, and bone health. Conversely, methionine deficiency has been linked to impairing osteoblast function, reduced bone formation and increased osteoclast activity (<xref ref-type="bibr" rid="B46">Ouattara et&#xa0;al., 2016</xref>). Although, these findings highlight emphasize the intricate relationship between microbial metabolism-AA production in skeletal integrity, experimental approaches (such as GM transplantation and metagenomic sequencing) are needed to identify key bacterial strains involved in amino acid metabolism and their role in low BMD.</p>
<p>On the other hand, estrogen deficiency is known to influence bone remodeling and alter lipid profiles; however, the application of plasma lipidomics in studying menopausal osteoporosis remains underexplored. In this study, we identified dysregulation in key lipid metabolism pathways, including those involved in alpha-linolenic acid, glycosaminoglycan, sphingolipid, and glycerolipid metabolism. It has been reported that plasma lipids and polar metabolites differ between women with normal and low BMD and are involved in several metabolic pathways, including sphingolipid and phospholipid metabolism, as well as fatty acid &#x3b2;-oxidation (<xref ref-type="bibr" rid="B4">Cabrera et&#xa0;al., 2018</xref>). Notably, two studies have linked specific sphingolipid species to low BMD in postmenopausal women, suggesting that sphingolipids may modulate bone metabolism via bone marrow-derived macrophages and could be attributed to estrogen deficiency (<xref ref-type="bibr" rid="B4">Cabrera et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B32">Lee et&#xa0;al., 2012</xref>). In contrast, other studies report inconsistent associations between triacylglycerol levels and hip BMD in this population (<xref ref-type="bibr" rid="B10">Cui et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B3">Brownbill and Ilich, 2006</xref>; <xref ref-type="bibr" rid="B43">Makovey et&#xa0;al., 2009</xref>), highlighting the need for further investigation.</p>
<p>Differences in the gut microbiome across populations are significant and driven by factors such as geography, ethnicity, diet, and lifestyle. Among these, diet plays a pivotal role in shaping the composition, function, and diversity of gut microbial communities. For instance, western diets rich in protein and fat are strongly associated with Bacteroides-dominant microbiomes, as observed in the US and Europe (<xref ref-type="bibr" rid="B8">Clemente-Su&#xe1;rez et&#xa0;al., 2023</xref>).</p>
<p>Regional variations in gut microbiota also have been documented (<xref ref-type="bibr" rid="B17">Gaulke and Sharpton, 2018</xref>). East Asian populations, particularly in China, Japan, and Taiwan, exhibit higher Bacteroides abundance, &#x201c;BB-type&#x201d;, compared to Southeast, Southern, and Central Asian populations (<xref ref-type="bibr" rid="B45">Nakayama et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B17">Gaulke and Sharpton, 2018</xref>; <xref ref-type="bibr" rid="B18">Gorvitovskaia et&#xa0;al., 2016</xref>). The &#x201c;BB-type&#x201d; gut microbiota is more prevalent in these regions, whereas the &#x201c;P-type&#x201d; microbiota, dominated by Prevotella, is more common in Southeast Asia (<xref ref-type="bibr" rid="B18">Gorvitovskaia et&#xa0;al., 2016</xref>).</p>
<p>Notably, older adults in both Asian and Mexican urban settings demonstrate higher protein and fat intake (<xref ref-type="bibr" rid="B6">Cho and Choi, 2021</xref>; <xref ref-type="bibr" rid="B44">Nabuco et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B38">L&#xf3;pez-Montoya et&#xa0;al., 2023</xref>) which could influence microbial composition and metabolic outcomes. However, while Asian gut microbiota research has identified specific bacterial taxa associated with BMD, the Mexican microbiome remains understudied in this context. These findings highlight the challenges in developing microbiome-based personalized medicine and underscore the necessity for region-specific research to account for such variations.</p>
<p>This study has several strengths. First, it comprehensively characterizes GM composition in a large cohort of Mexican postmenopausal women (n=535), offering valuable insights into this understudied demographic. Second, it identifies specific GM taxa associated with BMD status and explores their metabolic pathways, particularly those involved in AA metabolism, which may influence BMD. However, the study also has present limitations. First, the regulation of circulating AA concentrations is a complex physiological process influenced by multiple factors, including dietary intake, protein turnover, the novo synthesis and metabolic clearance. Thus, the specific contribution of gut microbiota to AA metabolism remains unclear and requires further validation.</p>
<p>Second, GM composition is influenced by diet, age, geography, and host health status. For instance, diet can account for up to 20% of the variation in GM composition, which also fluctuates seasonally (<xref ref-type="bibr" rid="B16">Farhat et&#xa0;al., 2023</xref>). Notably, phytoestrogen intake has been shown to enhance the diversity and abundance of beneficial gut bacteria, thereby modulating their effects on sex hormones (<xref ref-type="bibr" rid="B21">Gyriki et&#xa0;al., 2025</xref>). Although this variable was not included in the questionnaire, its potential impact warrants consideration in future research. Third, GM undergoes age-related changes, including reduced diversity of commensal bacteria and increased in pathogenic species, which may contribute to disease susceptibility. Another key factor in gut dysbiosis is antibiotic use, which has been shown to disrupt sex hormone metabolism, bile acid metabolism, and the synthesis of fats and vitamins (e.g., vitamin K)&#x2014; (<xref ref-type="bibr" rid="B31">LeBlanc et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B9">Collins et&#xa0;al., 2023</xref>) all of which may influence bone health regulation.</p>
<p>Four, several studies have determined the impact of single-nucleotide variants (SNVs) related to amino acid metabolism (<xref ref-type="bibr" rid="B25">Imaizumi et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B30">Lares-Villase&#xf1;or et&#xa0;al., 2024</xref>) on serum concentrations. However, the bidirectional interactions between host genetics, GM, and serum amino acids remain underexplored. Future studies should investigate whether these genetic variants exhibit a causal relationship with bone loss over time and elucidate the underlying mechanisms, including potential mediation by microbial metabolites or host-microbe metabolic crosstalk.</p>
<p>Lastly, while probiotics and prebiotics have demonstrated osteoprotective effects in other studies (<xref ref-type="bibr" rid="B52">Sapra et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B16">Farhat et&#xa0;al., 2023</xref>), their role in this specific population remains unexplored. Although this study partially accounts for some of these factors, the heterogeneity in bacterial associations with bone loss across the literature underscores the need for further research to fully elucidate these complex interactions.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>The results showed that postmenopausal women with low bone mineral density (BMD) experience significant changes in their gut microbiota and serum metabolites. These changes are closely correlated with BMD measurements, similar to the Caucasian and Asian populations. This correlation offers potential insights into the mechanisms behind the low BMD and may serve as an early diagnostic indicator. This study could pave the way for new interventions to improve bone health in Mexican postmenopausal women.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>.</p>
</sec>
<sec id="s" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Institutional Review Board of the IMSS. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>AB-C: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Visualization. RJ-O: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. DA-B: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. BP-G: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. MV-A: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Formal Analysis. II-G: Formal Analysis, Writing &#x2013; original draft, Writing&#xa0;&#x2013; review &amp; editing. SC-Q: Funding acquisition, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. JS: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Funding acquisition. BR-P: Formal Analysis, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. RV-C: Conceptualization, Funding acquisition, Investigation, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. The Health Worker Cohort Study was supported by CONACYT (Grant numbers: 7876, 87783, 262233, 26267M, SALUD-2010-01-139796, SALUD-2011-01-161930, CB-2013-01-221628), and CF-2019-102962. A.B.-C. is supported by a Postdoctoral Fellowship from the Secretar&#xed;a de Ciencia, Humanidades, Tecnolog&#xed;a e Innovaci&#xf3;n (Secihti- Estancia Posdoctoral de Incidencia Inicial 2022 with CVU 508876). R.F.J.-O. was supported by the Programa de Investigadores e Investigadoras of the Consejo Mexiquense de Ciencia y Tecnolog&#xed;a (COMECYT) with folio number CAT2024-0036. R.V.-C. was partially supported by the &#x201c;Financiamiento de Proyectos de Investigaci&#xf3;n para la Salud&#x201d; (FPIS) 2023, Proyecto FPIS2023-INMEGEN-5251, and by INMEGEN (346&#x2013;05/2018/I).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We would like to thank the staff of the Health Workers Cohort Study and participants. We also thank Priscilla Lopez-Montoya for DNA Extraction and Library construction. Alfredo Mendoza Vargas, and the staff of the Unidad de Secuenciaci&#xf3;n Masiva from INMEGEN, for sequencing technical support.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s13" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcimb.2025.1627519/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcimb.2025.1627519/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table2.xlsx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ai</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Hao</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Shang</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>J.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Konjac oligosaccharides modulate the gut environment and promote bone health in calcium-deficient mice</article-title>. <source>J.&#xa0;Agric. Food Chem.</source> <volume>69</volume>, <fpage>4412</fpage>&#x2013;<lpage>4422</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1021/ACS.JAFC.0C07839</pub-id>, PMID: <pub-id pub-id-type="pmid">33832226</pub-id></citation></ref>
<ref id="B2">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Akinsuyi</surname> <given-names>O. S.</given-names>
</name>
<name>
<surname>Roesch</surname> <given-names>L. F. W.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Meta-analysis reveals compositional and functional microbial changes associated with osteoporosis</article-title>. <source>Microbiol. Spectr.</source> <volume>11</volume>, <fpage>e00322</fpage>&#x2013;<lpage>23</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1128/spectrum.00322-23</pub-id>, PMID: <pub-id pub-id-type="pmid">37042756</pub-id></citation></ref>
<ref id="B3">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Brownbill</surname> <given-names>R. A.</given-names>
</name>
<name>
<surname>Ilich</surname> <given-names>J. Z.</given-names>
</name>
</person-group> (<year>2006</year>). <article-title>Lipid profile and bone paradox: higher serum lipids are associated with higher bone mineral density in postmenopausal women</article-title>. <source>J.&#xa0;Womens Health (Larchmt)</source> <volume>15</volume>, <fpage>261</fpage>&#x2013;<lpage>270</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1089/JWH.2006.15.261</pub-id>, PMID: <pub-id pub-id-type="pmid">16620185</pub-id></citation></ref>
<ref id="B4">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cabrera</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Kruger</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Wolber</surname> <given-names>F. M.</given-names>
</name>
<name>
<surname>Roy</surname> <given-names>N. C.</given-names>
</name>
<name>
<surname>Totman</surname> <given-names>J. J.</given-names>
</name>
<name>
<surname>Henry</surname> <given-names>C. J.</given-names>
</name>
<etal/>
</person-group>. (<year>2018</year>). <article-title>Association of plasma lipids and polar metabolites with low bone mineral density in Singaporean-chinese menopausal women: A pilot study</article-title>. <source>Int. J. Environ. Res. Public Health</source> <volume>15</volume>, <elocation-id>1045</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/IJERPH15051045</pub-id>, PMID: <pub-id pub-id-type="pmid">29789485</pub-id></citation></ref>
<ref id="B5">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cao</surname> <given-names>R. R.</given-names>
</name>
<name>
<surname>He</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Lei</surname> <given-names>S. F.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Novel microbiota-related gene set enrichment analysis identified osteoporosis associated gut microbiota from autoimmune diseases</article-title>. <source>J.&#xa0;Bone Miner Metab.</source> <volume>39</volume>, <fpage>984</fpage>&#x2013;<lpage>996</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/S00774-021-01247-W</pub-id>, PMID: <pub-id pub-id-type="pmid">34338852</pub-id></citation></ref>
<ref id="B6">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cho</surname> <given-names>Y. A.</given-names>
</name>
<name>
<surname>Choi</surname> <given-names>J. H.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Association between carbohydrate intake and the prevalence of metabolic syndrome in korean women</article-title>. <source>Nutrients</source> <volume>13</volume>, <elocation-id>3098</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/NU13093098</pub-id>, PMID: <pub-id pub-id-type="pmid">34578975</pub-id></citation></ref>
<ref id="B7">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Clarke</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Stilling</surname> <given-names>R. M.</given-names>
</name>
<name>
<surname>Kennedy</surname> <given-names>P. J.</given-names>
</name>
<name>
<surname>Stanton</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Cryan</surname> <given-names>J. F.</given-names>
</name>
<name>
<surname>Dinan</surname> <given-names>T. G.</given-names>
</name>
</person-group> (<year>2014</year>). <article-title>Minireview: Gut microbiota: the neglected endocrine organ</article-title>. <source>Mol. Endocrinol.</source> <volume>28</volume>, <fpage>1221</fpage>&#x2013;<lpage>1238</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1210/ME.2014-1108</pub-id>, PMID: <pub-id pub-id-type="pmid">24892638</pub-id></citation></ref>
<ref id="B8">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Clemente-Su&#xe1;rez</surname> <given-names>V. J.</given-names>
</name>
<name>
<surname>Beltr&#xe1;n-Velasco</surname> <given-names>A. I.</given-names>
</name>
<name>
<surname>Redondo-Fl&#xf3;rez</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Mart&#xed;n-Rodr&#xed;guez</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Tornero-Aguilera</surname> <given-names>J. F.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Global impacts of western diet and its effects on metabolism and health: A narrative review</article-title>. <source>Nutrients</source> <volume>15</volume>, <elocation-id>2749</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/NU15122749</pub-id>, PMID: <pub-id pub-id-type="pmid">37375654</pub-id></citation></ref>
<ref id="B9">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Collins</surname> <given-names>S. L.</given-names>
</name>
<name>
<surname>Stine</surname> <given-names>J. G.</given-names>
</name>
<name>
<surname>Bisanz</surname> <given-names>J. E.</given-names>
</name>
<name>
<surname>Okafor</surname> <given-names>C. D.</given-names>
</name>
<name>
<surname>Patterson</surname> <given-names>A. D.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Bile acids and the gut microbiota: metabolic interactions and impacts on disease</article-title>. <source>Nat. Rev. Microbiol.</source> <volume>21</volume>, <fpage>236</fpage>&#x2013;<lpage>247</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/S41579-022-00805-X</pub-id>, PMID: <pub-id pub-id-type="pmid">36253479</pub-id></citation></ref>
<ref id="B10">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cui</surname> <given-names>L. H.</given-names>
</name>
<name>
<surname>Shin</surname> <given-names>M. H.</given-names>
</name>
<name>
<surname>Chung</surname> <given-names>E. K.</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>Y. H.</given-names>
</name>
<name>
<surname>Kweon</surname> <given-names>S. S.</given-names>
</name>
<name>
<surname>Park</surname> <given-names>K. S.</given-names>
</name>
<etal/>
</person-group>. (<year>2005</year>). <article-title>Association between bone mineral densities and serum lipid profiles of pre- and post-menopausal rural women in South Korea</article-title>. <source>Osteoporos Int.</source> <volume>16</volume>, <fpage>1975</fpage>&#x2013;<lpage>1981</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/S00198-005-1977-2</pub-id>, PMID: <pub-id pub-id-type="pmid">16167087</pub-id></citation></ref>
<ref id="B11">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Das</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Cronin</surname> <given-names>O.</given-names>
</name>
<name>
<surname>Keohane</surname> <given-names>D. M.</given-names>
</name>
<name>
<surname>Cormac</surname> <given-names>E. M.</given-names>
</name>
<name>
<surname>Nugent</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Nugent</surname> <given-names>M.</given-names>
</name>
<etal/>
</person-group>. (<year>2019</year>). <article-title>Gut microbiota alterations associated with reduced bone mineral density in older adults</article-title>. <source>Rheumatol. (Oxford)</source> <volume>58</volume>, <fpage>2295</fpage>&#x2013;<lpage>2304</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/RHEUMATOLOGY/KEZ302</pub-id>, PMID: <pub-id pub-id-type="pmid">31378815</pub-id></citation></ref>
<ref id="B12">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dekkers</surname> <given-names>K. F.</given-names>
</name>
<name>
<surname>Sayols-Baixeras</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Baldanzi</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Nowak</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Hammar</surname> <given-names>U.</given-names>
</name>
<name>
<surname>Nguyen</surname> <given-names>D.</given-names>
</name>
<etal/>
</person-group>. (<year>2022</year>). <article-title>An online atlas of human plasma metabolite signatures of gut microbiome composition</article-title>. <source>Nat. Commun.</source> <volume>13</volume>, <elocation-id>5370</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/S41467-022-33050-0</pub-id>, PMID: <pub-id pub-id-type="pmid">36151114</pub-id></citation></ref>
<ref id="B13">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Denova-Guti&#xe9;rrez</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Flores</surname> <given-names>Y. N.</given-names>
</name>
<name>
<surname>Gallegos-Carrillo</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Ram&#xed;rez-Palacios</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Rivera-Paredez</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Mu&#xf1;oz-Aguirre</surname> <given-names>P.</given-names>
</name>
<etal/>
</person-group>. (<year>2016</year>). <article-title>Health workers cohort study: methods and study design</article-title>. <source>Salud Publica Mex</source> <volume>58</volume>, <fpage>708</fpage>&#x2013;<lpage>716</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.21149/SPM.V58I6.8299</pub-id>, PMID: <pub-id pub-id-type="pmid">28225947</pub-id></citation></ref>
<ref id="B14">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dong</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Shu</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Gong</surname> <given-names>Z.</given-names>
</name>
<etal/>
</person-group>. (<year>2024</year>). <article-title>Mechanistic study on the alleviation of postmenopausal osteoporosis by Lactobacillus acidophilus through butyrate-mediated inhibition of osteoclast activity</article-title>. <source>Sci. Rep.</source> <volume>14</volume>, <fpage>1 14, 1</fpage>&#x2013;<lpage>15</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41598-024-57122-x</pub-id>, PMID: <pub-id pub-id-type="pmid">38528074</pub-id></citation></ref>
<ref id="B15">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ensrud</surname> <given-names>K. E.</given-names>
</name>
<name>
<surname>Crandall</surname> <given-names>C. J.</given-names>
</name>
</person-group> (<year>2024</year>). <article-title>Osteoporosis</article-title>. <source>Ann. Intern. Med.</source> <volume>177</volume>, <fpage>ITC1</fpage>&#x2013;<lpage>ITC16</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.7326/AITC202401160</pub-id>, PMID: <pub-id pub-id-type="pmid">38190715</pub-id></citation></ref>
<ref id="B16">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Farhat</surname> <given-names>E. K.</given-names>
</name>
<name>
<surname>Sher</surname> <given-names>E. K.</given-names>
</name>
<name>
<surname>D&#x17e;idi&#x107;-Krivi&#x107;</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Banjari</surname> <given-names>I.</given-names>
</name>
<name>
<surname>Sher</surname> <given-names>F.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Functional biotransformation of phytoestrogens by gut microbiota with impact on cancer treatment</article-title>. <source>J. Nutr. Biochem.</source> <volume>118</volume>, <elocation-id>109368</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/J.JNUTBIO.2023.109368</pub-id>, PMID: <pub-id pub-id-type="pmid">37100304</pub-id></citation></ref>
<ref id="B17">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gaulke</surname> <given-names>C. A.</given-names>
</name>
<name>
<surname>Sharpton</surname> <given-names>T. J.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>The influence of ethnicity and geography on human gut microbiome composition</article-title>. <source>Nat. Med.</source> <volume>24</volume>, <fpage>1495</fpage>&#x2013;<lpage>1496</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/S41591-018-0210-8</pub-id>, PMID: <pub-id pub-id-type="pmid">30275567</pub-id></citation></ref>
<ref id="B18">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gorvitovskaia</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Holmes</surname> <given-names>S. P.</given-names>
</name>
<name>
<surname>Huse</surname> <given-names>S. M.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Interpreting Prevotella and Bacteroides as biomarkers of diet and lifestyle</article-title>. <source>Microbiome</source> <volume>4</volume>, 1-12. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/S40168-016-0160-7</pub-id>, PMID: <pub-id pub-id-type="pmid">27068581</pub-id></citation></ref>
<ref id="B19">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Grahnemo</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Eriksson</surname> <given-names>A. L.</given-names>
</name>
<name>
<surname>Nethander</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Johansson</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Lorentzon</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Mellstr&#xf6;m</surname> <given-names>D.</given-names>
</name>
<etal/>
</person-group>. (<year>2023</year>). <article-title>Low circulating valine associate with high risk of hip fractures</article-title>. <source>J. Clin. Endocrinol. Metab.</source> <volume>108</volume>, <fpage>E1384</fpage>&#x2013;<lpage>E1393</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1210/CLINEM/DGAD268</pub-id>, PMID: <pub-id pub-id-type="pmid">37178220</pub-id></citation></ref>
<ref id="B20">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Greenbaum</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Su</surname> <given-names>K. J.</given-names>
</name>
<name>
<surname>Gong</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>J.</given-names>
</name>
<etal/>
</person-group>. (<year>2022</year>). <article-title>Integration of the human gut microbiome and serum metabolome reveals novel biological factors involved in the regulation of bone mineral density</article-title>. <source>Front. Cell Infect. Microbiol.</source> <volume>12</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/FCIMB.2022.853499</pub-id>, PMID: <pub-id pub-id-type="pmid">35372129</pub-id></citation></ref>
<ref id="B21">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gyriki</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Nikolaidis</surname> <given-names>C. G.</given-names>
</name>
<name>
<surname>Bezirtzoglou</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Voidarou</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Stavropoulou</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Tsigalou</surname> <given-names>C.</given-names>
</name>
</person-group> (<year>2025</year>). <article-title>The gut microbiota and aging: interactions, implications, and interventions</article-title>. <source>Front. Aging</source> <volume>6</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/FRAGI.2025.1452917</pub-id>, PMID: <pub-id pub-id-type="pmid">40438731</pub-id></citation></ref>
<ref id="B22">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Han</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Gong</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>Y.</given-names>
</name>
</person-group> (<year>2024</year>). <article-title>Microbiota metabolites in bone: Shaping health and Confronting disease</article-title>. <source>Heliyon</source> <volume>10</volume>, <elocation-id>e28435</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.heliyon.2024.e28435</pub-id>, PMID: <pub-id pub-id-type="pmid">38560225</pub-id></citation></ref>
<ref id="B23">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>He</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Xiao</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Si</surname> <given-names>F.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>Gut microbiota and metabolite alterations associated with reduced bone mineral density or bone metabolic indexes in postmenopausal osteoporosis</article-title>. <source>Aging</source> <volume>12</volume>, <fpage>8583</fpage>&#x2013;<lpage>8604</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.18632/AGING.103168</pub-id>, PMID: <pub-id pub-id-type="pmid">32392181</pub-id></citation></ref>
<ref id="B24">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hiippala</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Kainulainen</surname> <given-names>V.</given-names>
</name>
<name>
<surname>Kalliom&#xe4;ki</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Arkkila</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Satokari</surname> <given-names>R.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Mucosal prevalence and interactions with the epithelium indicate commensalism of sutterella spp</article-title>. <source>Front. Microbiol.</source> <volume>7</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/FMICB.2016.01706</pub-id>, PMID: <pub-id pub-id-type="pmid">27833600</pub-id></citation></ref>
<ref id="B25">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Imaizumi</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Adachi</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Kawaguchi</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Higasa</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Tabara</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Sonomura</surname> <given-names>K.</given-names>
</name>
<etal/>
</person-group>. (<year>2019</year>). <article-title>Genetic basis for plasma amino acid concentrations based on absolute quantification: a genome-wide association study in the Japanese population</article-title>. <source>Eur. J. Hum. Genet.</source> <volume>27</volume>, <fpage>621</fpage>&#x2013;<lpage>630</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/S41431-018-0296-Y</pub-id>, PMID: <pub-id pub-id-type="pmid">30659259</pub-id></citation></ref>
<ref id="B26">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jakeman</surname> <given-names>S. A.</given-names>
</name>
<name>
<surname>Henry</surname> <given-names>C. N.</given-names>
</name>
<name>
<surname>Martin</surname> <given-names>B. R.</given-names>
</name>
<name>
<surname>McCabe</surname> <given-names>G. P.</given-names>
</name>
<name>
<surname>McCabe</surname> <given-names>L. D.</given-names>
</name>
<name>
<surname>Jackson</surname> <given-names>G. S.</given-names>
</name>
<etal/>
</person-group>. (<year>2016</year>). <article-title>Soluble corn fiber increases bone calcium retention in postmenopausal women in a dose-dependent manner: a randomized crossover trial</article-title>. <source>Am. J. Clin. Nutr.</source> <volume>104</volume>, <fpage>837</fpage>&#x2013;<lpage>843</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3945/AJCN.116.132761</pub-id>, PMID: <pub-id pub-id-type="pmid">27465372</pub-id></citation></ref>
<ref id="B27">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jennings</surname> <given-names>A.</given-names>
</name>
<name>
<surname>MacGregor</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Spector</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Cassidy</surname> <given-names>A.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Amino acid intakes are associated with bone mineral density and prevalence of low bone mass in women: evidence from discordant monozygotic twins</article-title>. <source>J. Bone Miner Res.</source> <volume>31</volume>, <fpage>326</fpage>&#x2013;<lpage>335</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/JBMR.2703</pub-id>, PMID: <pub-id pub-id-type="pmid">26334651</pub-id></citation></ref>
<ref id="B28">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kuo</surname> <given-names>Y. J.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>C. J.</given-names>
</name>
<name>
<surname>Hussain</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Tsai</surname> <given-names>H. C.</given-names>
</name>
<name>
<surname>Hsu</surname> <given-names>G. J.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>J. S.</given-names>
</name>
<etal/>
</person-group>. (<year>2023</year>). <article-title>Inferring bacterial community interactions and functionalities associated with osteopenia and osteoporosis in Taiwanese postmenopausal women</article-title>. <source>Microorganisms</source> <volume>11</volume>, <elocation-id>234</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/MICROORGANISMS11020234</pub-id>, PMID: <pub-id pub-id-type="pmid">36838199</pub-id></citation></ref>
<ref id="B29">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lai</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Gong</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Han</surname> <given-names>M.</given-names>
</name>
<etal/>
</person-group>. (<year>2024</year>). <article-title>Associations between gut microbiota and osteoporosis or osteopenia in a cohort of Chinese Han youth</article-title>. <source>Sci. Rep.</source> <volume>14</volume>, <elocation-id>20948</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/S41598-024-71731-6</pub-id>, PMID: <pub-id pub-id-type="pmid">39251661</pub-id></citation></ref>
<ref id="B30">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lares-Villase&#xf1;or</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Guevara-Cruz</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Salazar-Garc&#xed;a</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Granados-Portillo</surname> <given-names>O.</given-names>
</name>
<name>
<surname>Vega-C&#xe1;rdenas</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Martinez-Leija</surname> <given-names>M. E.</given-names>
</name>
<etal/>
</person-group>. (<year>2024</year>). <article-title>Genetic risk score for insulin resistance based on gene variants associated to amino acid metabolism in young adults</article-title>. <source>PloS One</source> <volume>19</volume>, <elocation-id>e0299543</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/JOURNAL.PONE.0299543</pub-id>, PMID: <pub-id pub-id-type="pmid">38422035</pub-id></citation></ref>
<ref id="B31">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>LeBlanc</surname> <given-names>J. G.</given-names>
</name>
<name>
<surname>Milani</surname> <given-names>C.</given-names>
</name>
<name>
<surname>de Giori</surname> <given-names>G. S.</given-names>
</name>
<name>
<surname>Sesma</surname> <given-names>F.</given-names>
</name>
<name>
<surname>van Sinderen</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Ventura</surname> <given-names>M.</given-names>
</name>
</person-group> (<year>2013</year>). <article-title>Bacteria as vitamin suppliers to their host: a gut microbiota perspective</article-title>. <source>Curr. Opin. Biotechnol.</source> <volume>24</volume>, <fpage>160</fpage>&#x2013;<lpage>168</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/J.COPBIO.2012.08.005</pub-id>, PMID: <pub-id pub-id-type="pmid">22940212</pub-id></citation></ref>
<ref id="B32">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lee</surname> <given-names>S. H.</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>S. Y.</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>Y. S.</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>B. J.</given-names>
</name>
<name>
<surname>Lim</surname> <given-names>K. H.</given-names>
</name>
<name>
<surname>Cho</surname> <given-names>E. H.</given-names>
</name>
<etal/>
</person-group>. (<year>2012</year>). <article-title>Higher circulating sphingosine 1-phosphate levels are associated with lower bone mineral density and higher bone resorption marker in humans</article-title>. <source>J. Clin. Endocrinol. Metab.</source> <volume>97</volume>, <fpage>E1421</fpage>&#x2013;<lpage>E1428</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1210/JC.2012-1044</pub-id>, PMID: <pub-id pub-id-type="pmid">22679064</pub-id></citation></ref>
<ref id="B33">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>Q.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Dai</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Zeng</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Tao</surname> <given-names>L.</given-names>
</name>
<etal/>
</person-group>. (<year>2019</year>a). <article-title>Gut microbiota composition and bone mineral loss-epidemiologic evidence from individuals in Wuhan, China</article-title>. <source>Osteoporos Int.</source> <volume>30</volume>, <fpage>1003</fpage>&#x2013;<lpage>1013</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/S00198-019-04855-5</pub-id>, PMID: <pub-id pub-id-type="pmid">30666372</pub-id></citation></ref>
<ref id="B34">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Rao</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Cheng</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Zhuo</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Deng</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>N.</given-names>
</name>
<etal/>
</person-group>. (<year>2019</year>b). <article-title>Microbial osteoporosis: The interplay between the gut microbiota and bones via host metabolism and immunity</article-title>. <source>Microbiologyopen</source> <volume>8</volume>, <elocation-id>e00810</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/MBO3.810</pub-id>, PMID: <pub-id pub-id-type="pmid">31001921</pub-id></citation></ref>
<ref id="B35">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liang</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Hao</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Yuan</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Kang</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Liang</surname> <given-names>T.</given-names>
</name>
<etal/>
</person-group>. (<year>2023</year>). <article-title>The potential of Klebsiella and Escherichia-Shigella and amino acids metabolism to monitor patients with postmenopausal osteoporosis in northwest China</article-title>. <source>BMC Microbiol.</source> <volume>23</volume>, <fpage>1</fpage>&#x2013;<lpage>16</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/S12866-023-02927-5/TABLES/4</pub-id>, PMID: <pub-id pub-id-type="pmid">37495941</pub-id></citation></ref>
<ref id="B36">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ling</surname> <given-names>C. W.</given-names>
</name>
<name>
<surname>Miao</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Xiao</surname> <given-names>M. L.</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Jiang</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Fu</surname> <given-names>Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>The association of gut microbiota with osteoporosis is mediated by amino acid metabolism: multiomics in a large cohort</article-title>. <source>J. Clin. Endocrinol. Metab.</source> <volume>106</volume>, <fpage>E3852</fpage>&#x2013;<lpage>E3864</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1210/CLINEM/DGAB492</pub-id>, PMID: <pub-id pub-id-type="pmid">34214160</pub-id></citation></ref>
<ref id="B37">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>X. F.</given-names>
</name>
<name>
<surname>Shao</surname> <given-names>J. H.</given-names>
</name>
<name>
<surname>Liao</surname> <given-names>Y. T.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>L. N.</given-names>
</name>
<name>
<surname>Jia</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Dong</surname> <given-names>P. J.</given-names>
</name>
<etal/>
</person-group>. (<year>2023</year>). <article-title>Regulation of short-chain fatty acids in the immune system</article-title>. <source>Front. Immunol</source> <volume>14</volume>, <elocation-id>1186892</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2023.1186892</pub-id>, PMID: <pub-id pub-id-type="pmid">37215145</pub-id></citation></ref>
<ref id="B38">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>L&#xf3;pez-Montoya</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Rivera-Paredez</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Palacios-Gonz&#xe1;lez</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Mor&#xe1;n-Ramos</surname> <given-names>S.</given-names>
</name>
<name>
<surname>L&#xf3;pez-Contreras</surname> <given-names>B. E.</given-names>
</name>
<name>
<surname>Canizales-Quinteros</surname> <given-names>S.</given-names>
</name>
<etal/>
</person-group>. (<year>2023</year>). <article-title>Dietary patterns are associated with the gut microbiome and metabolic syndrome in mexican postmenopausal women</article-title>. <source>Nutrients</source> <volume>15</volume>, <elocation-id>4704</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/NU15224704</pub-id>, PMID: <pub-id pub-id-type="pmid">38004098</pub-id></citation></ref>
<ref id="B39">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>L&#xf3;pez</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Gueimonde</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Margolles</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Su&#xe1;rez</surname> <given-names>A.</given-names>
</name>
</person-group> (<year>2010</year>). <article-title>Distinct Bifidobacterium strains drive different immune responses <italic>in vitro</italic>
</article-title>. <source>Int. J. Food Microbiol.</source> <volume>138</volume>, <fpage>157</fpage>&#x2013;<lpage>165</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ijfoodmicro.2009.12.023</pub-id>, PMID: <pub-id pub-id-type="pmid">20071048</pub-id></citation></ref>
<ref id="B40">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lucas</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Omata</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Hofmann</surname> <given-names>J.</given-names>
</name>
<name>
<surname>B&#xf6;ttcher</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Iljazovic</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Sarter</surname> <given-names>K.</given-names>
</name>
<etal/>
</person-group>. (<year>2018</year>). <article-title>Short-chain fatty acids regulate systemic bone mass and protect from pathological bone loss</article-title>. <source>Nat. Commun.</source> <volume>9</volume>, <elocation-id>55</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/S41467-017-02490-4</pub-id>, PMID: <pub-id pub-id-type="pmid">29302038</pub-id></citation></ref>
<ref id="B41">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lyu</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Hu</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>D.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Modulation of bone remodeling by the gut microbiota: a new therapy for osteoporosis</article-title>. <source>Bone Res.</source> <volume>11</volume>, <fpage>1</fpage>&#x2013;<lpage>15</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/S41413-023-00264-X</pub-id>, PMID: <pub-id pub-id-type="pmid">37296111</pub-id></citation></ref>
<ref id="B42">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ma</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2024</year>). <article-title>Osteoporosis in postmenopausal women is associated with disturbances in gut microbiota and migration of peripheral immune cells</article-title>. <source>BMC Musculoskelet Disord.</source> <volume>25</volume>, <fpage>791</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/S12891-024-07904-1</pub-id>, PMID: <pub-id pub-id-type="pmid">39375626</pub-id></citation></ref>
<ref id="B43">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Makovey</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>J. S.</given-names>
</name>
<name>
<surname>Hayward</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Williams</surname> <given-names>F. M. K.</given-names>
</name>
<name>
<surname>Sambrook</surname> <given-names>P. N.</given-names>
</name>
</person-group> (<year>2009</year>). <article-title>Association between serum cholesterol and bone mineral density</article-title>. <source>Bone</source> <volume>44</volume>, <fpage>208</fpage>&#x2013;<lpage>213</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/J.BONE.2008.09.020</pub-id>, PMID: <pub-id pub-id-type="pmid">18983946</pub-id></citation></ref>
<ref id="B44">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nabuco</surname> <given-names>H. C. G.</given-names>
</name>
<name>
<surname>Tomeleri</surname> <given-names>C. M.</given-names>
</name>
<name>
<surname>Sugihara Junior</surname> <given-names>P.</given-names>
</name>
<name>
<surname>dos Reis Fernandes</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Cavalcante</surname> <given-names>E. F.</given-names>
</name>
<name>
<surname>Antunes</surname> <given-names>M.</given-names>
</name>
<etal/>
</person-group>. (<year>2018</year>). <article-title>Lower protein and higher carbohydrate intake are related with altering metabolic syndrome components in elderly women: A cross-sectional study</article-title>. <source>Exp. Gerontol</source> <volume>103</volume>, <fpage>132</fpage>&#x2013;<lpage>137</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/J.EXGER.2018.01.013</pub-id>, PMID: <pub-id pub-id-type="pmid">29337071</pub-id></citation></ref>
<ref id="B45">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nakayama</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Watanabe</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Jiang</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Matsuda</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Chao</surname> <given-names>S.-H.</given-names>
</name>
<name>
<surname>Haryono</surname> <given-names>P.</given-names>
</name>
<etal/>
</person-group>. (<year>2015</year>). <article-title>Diversity in gut bacterial community of school-age children in Asia</article-title>. <source>Sci. Rep.</source> <volume>5</volume>, <elocation-id>8397</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/SREP08397</pub-id>, PMID: <pub-id pub-id-type="pmid">25703686</pub-id></citation></ref>
<ref id="B46">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ouattara</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Cooke</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Gopalakrishnan</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>T. H.</given-names>
</name>
<name>
<surname>Ables</surname> <given-names>G. P.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Methionine restriction alters bone morphology and affects osteoblast differentiation</article-title>. <source>Bone Rep.</source> <volume>5</volume>, <fpage>33</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/J.BONR.2016.02.002</pub-id>, PMID: <pub-id pub-id-type="pmid">28326345</pub-id></citation></ref>
<ref id="B47">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ozaki</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Kubota</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Maeno</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Abdelhakim</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Hitosugi</surname> <given-names>N.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Association between gut microbiota, bone metabolism, and fracture risk in postmenopausal Japanese women</article-title>. <source>Osteoporos Int.</source> <volume>32</volume>, <fpage>145</fpage>&#x2013;<lpage>156</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/S00198-020-05728-Y</pub-id>, PMID: <pub-id pub-id-type="pmid">33241467</pub-id></citation></ref>
<ref id="B48">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Palacios-Gonz&#xe1;lez</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Ram&#xed;rez-Salazar</surname> <given-names>E. G.</given-names>
</name>
<name>
<surname>Rivera-Paredez</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Quiterio</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Flores</surname> <given-names>Y. N.</given-names>
</name>
<name>
<surname>Macias-Kauffer</surname> <given-names>L.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>A multi-omic analysis for low bone mineral density in postmenopausal women suggests a RELATIONSHIP between diet, metabolites, and microbiota</article-title>. <source>Microorganisms</source> <volume>8</volume>, <fpage>1</fpage>&#x2013;<lpage>18</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/MICROORGANISMS8111630</pub-id>, PMID: <pub-id pub-id-type="pmid">33105628</pub-id></citation></ref>
<ref id="B49">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Qin</surname> <given-names>Q.</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>T.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>The relationship between osteoporosis and intestinal microbes in the henan province of China</article-title>. <source>Front. Cell Dev. Biol.</source> <volume>9</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/FCELL.2021.752990</pub-id>, PMID: <pub-id pub-id-type="pmid">34869341</pub-id></citation></ref>
<ref id="B50">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rettedal</surname> <given-names>E. A.</given-names>
</name>
<name>
<surname>Ilesanmi-Oyelere</surname> <given-names>B. L.</given-names>
</name>
<name>
<surname>Roy</surname> <given-names>N. C.</given-names>
</name>
<name>
<surname>Coad</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Kruger</surname> <given-names>M. C.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>The gut microbiome is altered in postmenopausal women with osteoporosis and osteopenia</article-title>. <source>JBMR Plus</source> <volume>5</volume>, <elocation-id>e10452</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/JBM4.10452</pub-id>, PMID: <pub-id pub-id-type="pmid">33778322</pub-id></citation></ref>
<ref id="B51">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rodr&#xed;guez</surname> <given-names>V.</given-names>
</name>
<name>
<surname>Rivoira</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Marchionatti</surname> <given-names>A.</given-names>
</name>
<name>
<surname>P&#xe9;rez</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Tolosa De Talamoni</surname> <given-names>N.</given-names>
</name>
</person-group> (<year>2013</year>). <article-title>Ursodeoxycholic and deoxycholic acids: A good and a bad bile acid for intestinal calcium absorption</article-title>. <source>Arch. Biochem. Biophys.</source> <volume>540</volume>, <fpage>19</fpage>&#x2013;<lpage>25</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/J.ABB.2013.09.018</pub-id>, PMID: <pub-id pub-id-type="pmid">24096173</pub-id></citation></ref>
<ref id="B52">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sapra</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Dar</surname> <given-names>H. Y.</given-names>
</name>
<name>
<surname>Bhardwaj</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Pandey</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Kumari</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Azam</surname> <given-names>Z.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>Lactobacillus rhamnosus attenuates bone loss and maintains bone health by skewing Treg-Th17 cell balance in Ovx mice</article-title>. <source>Sci. Rep.</source> <volume>11</volume>, <elocation-id>1807</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/S41598-020-80536-2</pub-id>, PMID: <pub-id pub-id-type="pmid">33469043</pub-id></citation></ref>
<ref id="B53">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sapra</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Shokeen</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Porwal</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Saini</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Bhardwaj</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Mathew</surname> <given-names>M.</given-names>
</name>
<etal/>
</person-group>. (<year>2022</year>). <article-title>Bifidobacterium longum Ameliorates Ovariectomy-Induced Bone Loss via Enhancing Anti-Osteoclastogenic and Immunomodulatory Potential of Regulatory B Cells (Bregs)</article-title>. <source>Front. Immunol.</source> <volume>13</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/FIMMU.2022.875788</pub-id>, PMID: <pub-id pub-id-type="pmid">35693779</pub-id></citation></ref>
<ref id="B54">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Schirmer</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Smeekens</surname> <given-names>S. P.</given-names>
</name>
<name>
<surname>Vlamakis</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Jaeger</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Oosting</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Franzosa</surname> <given-names>E. A.</given-names>
</name>
<etal/>
</person-group>. (<year>2016</year>). <article-title>Linking the human gut microbiome to inflammatory cytokine production capacity</article-title>. <source>Cell</source> <volume>167</volume>, <fpage>1125</fpage>&#x2013;<lpage>1136.e8</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/J.CELL.2016.10.020</pub-id>, PMID: <pub-id pub-id-type="pmid">27814509</pub-id></citation></ref>
<ref id="B55">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Su</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Elshorbagy</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Turner</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Refsum</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Chan</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Kwok</surname> <given-names>T.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Circulating amino acids are associated with bone mineral density decline and ten-year major osteoporotic fracture risk in older community-dwelling adults</article-title>. <source>Bone</source> <volume>129</volume>, <elocation-id>115082</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/J.BONE.2019.115082</pub-id>, PMID: <pub-id pub-id-type="pmid">31622772</pub-id></citation></ref>
<ref id="B56">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tyagi</surname> <given-names>A. M.</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Darby</surname> <given-names>T. M.</given-names>
</name>
<name>
<surname>Vaccaro</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>J. Y.</given-names>
</name>
<name>
<surname>Owens</surname> <given-names>J. A.</given-names>
</name>
<etal/>
</person-group>. (<year>2018</year>). <article-title>The microbial metabolite butyrate stimulates bone formation via T regulatory cell-mediated regulation of WNT10B expression</article-title>. <source>Immunity</source> <volume>49</volume>, <fpage>1116</fpage>&#x2013;<lpage>1131.e7</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/J.IMMUNI.2018.10.013</pub-id>, PMID: <pub-id pub-id-type="pmid">30446387</pub-id></citation></ref>
<ref id="B57">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Liao</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Bao</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Zheng</surname> <given-names>Z.</given-names>
</name>
<etal/>
</person-group>. (<year>2019</year>). <article-title>Parabacteroides distasonis Alleviates Obesity and Metabolic Dysfunctions via Production of Succinate and Secondary Bile Acids</article-title>. <source>Cell Rep.</source> <volume>26</volume>, <fpage>222</fpage>&#x2013;<lpage>235.e5</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/J.CELREP.2018.12.028</pub-id>, PMID: <pub-id pub-id-type="pmid">30605678</pub-id></citation></ref>
<ref id="B58">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Cao</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Shi</surname> <given-names>B.</given-names>
</name>
<etal/>
</person-group>. (<year>2023</year>a). <article-title>Gut microbiota signatures and fecal metabolites in postmenopausal women with osteoporosis</article-title>. <source>Gut Pathog.</source> <volume>15</volume>, <elocation-id>33</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/S13099-023-00553-0</pub-id>, PMID: <pub-id pub-id-type="pmid">37415173</pub-id></citation></ref>
<ref id="B59">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Fu</surname> <given-names>L.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Gut microbiota dysbiosis as one cause of osteoporosis by impairing intestinal barrier function</article-title>. <source>Calcif Tissue Int.</source> <volume>110</volume>, <fpage>225</fpage>&#x2013;<lpage>235</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/S00223-021-00911-7</pub-id>, PMID: <pub-id pub-id-type="pmid">34480200</pub-id></citation></ref>
<ref id="B60">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>Q.</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>Q.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Zheng</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Ju</surname> <given-names>Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>Linking gut microbiome to bone mineral density: a shotgun metagenomic dataset from 361 elderly women</article-title>. <source>GigaByte</source>
<volume>2021</volume>,  <fpage>gigabyte12</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.46471/GIGABYTE.12</pub-id>, PMID: <pub-id pub-id-type="pmid">36824343</pub-id></citation></ref>
<ref id="B61">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Gao</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Zeng</surname> <given-names>Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2017</year>). <article-title>Diversity analysis of gut microbiota in osteoporosis and osteopenia patients</article-title>. <source>PeerJ</source> <volume>5</volume>, <elocation-id>e3450</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.7717/PEERJ.3450</pub-id>, PMID: <pub-id pub-id-type="pmid">28630804</pub-id></citation></ref>
<ref id="B62">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Tang</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Deng</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Qin</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Han</surname> <given-names>J.</given-names>
</name>
<etal/>
</person-group>. (<year>2023</year>b). <article-title>The causal relationship between gut microbiota and bone mineral density: a Mendelian randomization study</article-title>. <source>Front. Microbiol.</source> <volume>14</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/FMICB.2023.1268935</pub-id>, PMID: <pub-id pub-id-type="pmid">37937216</pub-id></citation></ref>
<ref id="B63">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wei</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Bahl</surname> <given-names>M. I.</given-names>
</name>
<name>
<surname>Baunwall</surname> <given-names>S. M. D.</given-names>
</name>
<name>
<surname>Hvas</surname> <given-names>C. L.</given-names>
</name>
<name>
<surname>Licht</surname> <given-names>T. R.</given-names>
</name>
</person-group> (<year>2021</year>b). <article-title>Determining gut microbial dysbiosis: a review of applied indexes for assessment of intestinal microbiota imbalances</article-title>. <source>Appl. Environ. Microbiol.</source> <volume>87</volume>, <fpage>1</fpage>&#x2013;<lpage>13</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1128/AEM.00395-21</pub-id>, PMID: <pub-id pub-id-type="pmid">33741632</pub-id></citation></ref>
<ref id="B64">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wei</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Dai</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Cui</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Zeng</surname> <given-names>Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>a). <article-title>High-throughput absolute quantification sequencing revealed osteoporosis-related gut microbiota alterations in han chinese elderly</article-title>. <source>Front. Cell Infect. Microbiol.</source> <volume>11</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/FCIMB.2021.630372</pub-id>, PMID: <pub-id pub-id-type="pmid">33996619</pub-id></citation></ref>
<ref id="B65">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Han</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>L.</given-names>
</name>
<etal/>
</person-group>. (<year>2023</year>). <article-title>Effect of Bifidobacterium on osteoclasts: TNF-&#x3b1;/NF-&#x3ba;B inflammatory signal pathway-mediated mechanism</article-title>. <source>Front. Endocrinol</source>. <volume>14</volume>, <elocation-id>1109296</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fendo.2023.1109296</pub-id>, PMID: <pub-id pub-id-type="pmid">36967748</pub-id></citation></ref>
<ref id="B66">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xu</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Xie</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>C.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>Gut microbiome reveals specific dysbiosis in primary osteoporosis</article-title>. <source>Front. Cell Infect. Microbiol.</source> <volume>10</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/FCIMB.2020.00160</pub-id>, PMID: <pub-id pub-id-type="pmid">32373553</pub-id></citation></ref>
<ref id="B67">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yan</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Takakura</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Zandi-Nejad</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Charles</surname> <given-names>J. F.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Mechanisms of gut microbiota-mediated bone remodeling</article-title>. <source>Gut Microbes</source> <volume>9</volume>, <fpage>84</fpage>&#x2013;<lpage>92</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/19490976.2017.1371893</pub-id>, PMID: <pub-id pub-id-type="pmid">28961041</pub-id></citation></ref>
<ref id="B68">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yan</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Qi</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Nan</surname> <given-names>H.</given-names>
</name>
<etal/>
</person-group>. (<year>2024</year>). <article-title>Characteristics of the gut microbiota and serum metabolites in postmenopausal women with reduced bone mineral density</article-title>. <source>Front. Cell Infect. Microbiol.</source> <volume>14</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/FCIMB.2024.1367325</pub-id>, PMID: <pub-id pub-id-type="pmid">38912210</pub-id></citation></ref>
<ref id="B69">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zaplana</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Miele</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Tolonen</surname> <given-names>A. C.</given-names>
</name>
</person-group> (<year>2024</year>). <article-title>Lachnospiraceae are emerging industrial biocatalysts and biotherapeutics</article-title>. <source>Front. Bioeng Biotechnol.</source> <volume>11</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/FBIOE.2023.1324396</pub-id>, PMID: <pub-id pub-id-type="pmid">38239921</pub-id></citation></ref>
<ref id="B70">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhao</surname> <given-names>Q.</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Su</surname> <given-names>K. J.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>J. G.</given-names>
</name>
<name>
<surname>Tian</surname> <given-names>Q.</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>L. J.</given-names>
</name>
<etal/>
</person-group>. (<year>2018</year>). <article-title>Metabolomic profiles associated with bone mineral density in US Caucasian women</article-title>. <source>Nutr. Metab. (Lond)</source> <volume>15</volume>, <fpage>1</fpage>&#x2013;<lpage>9</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/S12986-018-0296-5</pub-id>, PMID: <pub-id pub-id-type="pmid">30116286</pub-id></citation></ref>
<ref id="B71">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhu</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Cao</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Dai</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>W.</given-names>
</name>
</person-group> (<year>2024</year>). <article-title>The combination of Butyricicoccus pullicaecorum and 3-hydroxyanthranilic acid prevents postmenopausal osteoporosis by modulating gut microbiota and Th17/Treg</article-title>. <source>Eur. J. Nutr.</source> <volume>63</volume>, <fpage>1945</fpage>&#x2013;<lpage>1959</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/S00394-024-03400-3</pub-id>, PMID: <pub-id pub-id-type="pmid">38753171</pub-id></citation></ref>
</ref-list>
</back>
</article>