{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T11:10:15Z","timestamp":1790334615088,"version":"4.1.0"},"reference-count":45,"publisher":"Oxford University Press (OUP)","issue":"7","license":[{"start":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T00:00:00Z","timestamp":1783641600000},"content-version":"vor","delay-in-days":9,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key R&D Program of China","doi-asserted-by":"publisher","award":["2016YFC1201805"],"award-info":[{"award-number":["2016YFC1201805"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key R&D Program of China","doi-asserted-by":"publisher","award":["2017YFC1001100"],"award-info":[{"award-number":["2017YFC1001100"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Program of Guangzhou, China","award":["201604020007"],"award-info":[{"award-number":["201604020007"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81770878"],"award-info":[{"award-number":["81770878"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,7,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>Explore the potential microbiome and serum metabolome factors and their interactions associated with obesity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods and results<\/jats:title>\n                    <jats:p>We performed a systematic multi-omics analysis using paired metagenomic and metabolomic profiles\u2014including untargeted serum metabolomics, lipidomics, and short-chain fatty acids (SCFAs)\u2014with body mass index (BMI) from a cohort of 495 US men. Single omics analysis identified 52 gut bacteria species and 31 serum metabolites for potential associations with BMI. Among the identified bacteria, Collinsella stercoris (C. stercoris) (Coef.=-0.147, P = 0.015) was negatively associated, whereas Bacteroides fragilis (B. fragilis) (Coef.=0.294, P = 1.22E-04) and Veillonella dispar (V. dispar) (Coef.=0.135, P = 0.001) were positively associated, these results were further validated by an independent Chinese cohort. Several of the identified metabolites, including gamma-glutamylglycine (Coef.=-0.713, P = 4.53E-06), asparagine (Coef.=-0.629, P = 3.53E-05), glycine (Coef.=-0.952, P = 5.28E-09), and serotonin (Coef.=0.566, P = 1.78E-04) were associated with these significant bacteria (P\u00a0&amp;lt;\u00a00.05).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>This multi-omics study identifies key gut bacteria and serum metabolites that interact to associate with host obesity, providing systemic insight into microbiome-host metabolic interactions.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/jambio\/lxag172","type":"journal-article","created":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T13:23:56Z","timestamp":1783689836000},"source":"Crossref","is-referenced-by-count":0,"title":["Multi-omics analysis identify novel microbiome-metabolome signatures associated with obesity"],"prefix":"10.1093","volume":"137","author":[{"given":"Bo","family":"Tian","sequence":"first","affiliation":[{"name":"Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University , 172 Tongzipo Road, Yuelu District, Changsha 410013, Hunan Province ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Liu","sequence":"additional","affiliation":[{"name":"Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University , 172 Tongzipo Road, Yuelu District, Changsha 410013, Hunan Province ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5163-9774","authenticated-orcid":false,"given":"Kuan-Jui","family":"Su","sequence":"additional","affiliation":[{"name":"Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University , 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