{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T11:57:06Z","timestamp":1787313426461,"version":"build-2736575974"},"reference-count":41,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T00:00:00Z","timestamp":1731974400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T00:00:00Z","timestamp":1731974400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2023R1A2C2006416"],"award-info":[{"award-number":["2023R1A2C2006416"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J cachexia sarcopenia muscle"],"published-print":{"date-parts":[[2025,2]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>This study aimed to explore the association between gut microbiota functional profiles and skeletal muscle mass, focusing on sex\u2010specific differences in a population under 65\u2009years of age.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Stool samples from participants were analysed using metagenomic shotgun sequencing. Skeletal muscle mass and skeletal muscle mass index (SMI) were quantified (SMI [%]\u2009=\u2009total appendage muscle mass [kg]\/body weight [kg]\u2009\u00d7\u2009100) using bioelectrical impedance analysis. Participants were categorized into SMI quartiles, and associations between gut microbiota, functional profiling and SMI were assessed by sex, adjusting for age, BMI and physical activity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The cohort included 1027 participants (651 men, 376 women). In men,\n                      <jats:styled-content style=\"fixed-case\">\n                        <jats:italic>Escherichia coli<\/jats:italic>\n                      <\/jats:styled-content>\n                      (log2 fold change 3.08,\n                      <jats:italic>q<\/jats:italic>\n                      \u2009=\u20090.001),\n                      <jats:italic>Ruminococcus_B gnavus<\/jats:italic>\n                      (log2 fold change 2.89,\n                      <jats:italic>q<\/jats:italic>\n                      \u2009=\u20090.014) and\n                      <jats:italic>Enterocloster sp001517625<\/jats:italic>\n                      (log2 fold change 2.47,\n                      <jats:italic>q<\/jats:italic>\n                      \u2009=\u20090.026) were more abundant in the lowest SMI compared to the highest SMI group. In contrast,\n                      <jats:styled-content style=\"fixed-case\">\n                        <jats:italic>Bifidobacterium bifidum<\/jats:italic>\n                      <\/jats:styled-content>\n                      (log2 fold change 3.13,\n                      <jats:italic>q<\/jats:italic>\n                      \u2009=\u20090.025) showed higher levels in the second lowest SMI group in women. Microbial pathways associated with amino acid synthesis (MET\u2010SAM\u2010PWY: log2 fold change 0.42; METSYN\u2010PWY: log2 fold change 0.44; SER\u2010GLYSYN\u2010PWY: log2 fold change 0.20; PWY\u20105347: log2 fold change 0.41; P4\u2010PWY: log2 fold change 0.53),\n                      <jats:italic>N<\/jats:italic>\n                      \u2010acetylneuraminate degradation (log2 fold change 0.43), isoprene biosynthesis (log2 fold change 0.20) and purine nucleotide degradation and salvage (PWY\u20106353: log2 fold change 0.42; PWY\u20106608: log2 fold change 0.38; PWY66\u2010409: log2 fold change 0.52; SALVADEHYPOX\u2010PWY: log2 fold change 0.43) were enriched in the lowest SMI in men (\n                      <jats:italic>q<\/jats:italic>\n                      \u2009&lt;\u20090.10). In women, the second lowest SMI group showed enrichment in energy\u2010related pathways, including lactic acid fermentation (ANAEROFRUCAT\u2010PWY: log2 fold change 0.19), pentose phosphate pathway (PENTOSE\u2010P\u2010PWY: log2 fold change 0.30) and carbohydrate degradation (PWY\u20105484: log2 fold change 0.31; GLYCOLYSIS: log2 fold change 0.29; PWY\u20106901: log2 fold change 0.27) (\n                      <jats:italic>q<\/jats:italic>\n                      \u2009&lt;\u20090.05).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>This study highlights sex\u2010specific differences in gut microbiota and functional pathways associated with SMI. These findings suggest that gut microbiota may play a role in muscle health and point toward microbiota\u2010targeted strategies for maintaining muscle mass.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jcsm.13636","type":"journal-article","created":{"date-parts":[[2024,11,20]],"date-time":"2024-11-20T01:29:58Z","timestamp":1732066198000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Metagenomic Analysis Identifies Sex\u2010Related Gut Microbial Functions and Bacterial Taxa Associated With Skeletal Muscle Mass"],"prefix":"10.1002","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8714-0828","authenticated-orcid":false,"given":"Hang\u00a0A.","family":"Park","sequence":"first","affiliation":[{"name":"Genome and Health Big Data Laboratory, Graduate School of Public Health Seoul National University  Seoul Republic of Korea"},{"name":"Department of Emergency Medicine, Hallym University Dongtan Sacred Heart Hospital  Gyeonggi\u2010do Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joohon","family":"Sung","sequence":"additional","affiliation":[{"name":"Genome and Health Big Data Laboratory, Graduate School of Public Health Seoul National University  Seoul Republic of Korea"},{"name":"Institute of Health and Environment Seoul National University  Seoul Republic of Korea"},{"name":"Genomic Medicine Institute Seoul National University  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yoosoo","family":"Chang","sequence":"additional","affiliation":[{"name":"Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital Sungkyunkwan University School of Medicine  Seoul Republic of Korea"},{"name":"Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital Sungkyunkwan University School of Medicine  Seoul Republic of Korea"},{"name":"Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology Sungkyunkwan University  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seungho","family":"Ryu","sequence":"additional","affiliation":[{"name":"Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital Sungkyunkwan University School of Medicine  Seoul Republic of Korea"},{"name":"Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital Sungkyunkwan University School of Medicine  Seoul Republic of Korea"},{"name":"Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology Sungkyunkwan University  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kyung\u00a0Jae","family":"Yoon","sequence":"additional","affiliation":[{"name":"Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences 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