{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T09:50:59Z","timestamp":1791798659793,"version":"4.3.4"},"reference-count":205,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T00:00:00Z","timestamp":1791763200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T00:00:00Z","timestamp":1791763200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100004070","name":"Khalifa University of Science, Technology and Research","doi-asserted-by":"publisher","award":["RIG\u20102024\u2010017"],"award-info":[{"award-number":["RIG\u20102024\u2010017"]}],"id":[{"id":"10.13039\/501100004070","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Obesity Reviews"],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Obesity's global rise has outpaced the effectiveness of \u201cone\u2010size\u2010fits\u2010all\u201d prevention and treatment strategies. The promise of precision medicine lies in addressing the etiological and biological diversity of obesity and transforming it into actionable endotypes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>In a narrative review, we analyze \u201cobesityomics,\u201d looking at the contributions each omics layer makes to understanding and managing obesity. The areas we evaluate are genomics (heritability, polygenic risk, and monogenic forms), epigenomics (development and environment imprinting), transcriptomics (tissue\u2010specific programs of adipose, liver, muscle, and hypothalamus), proteomics (signaling networks and adipokines), metabolomics and lipidomics (fuel partitioning, lipotoxicity, and metabolic inflection points), and microbiome science (metabolites, host\u2013microbe interactions, and microbial ecology). Our domain\u2010by\u2010domain (single\u2010omics) approach demonstrates how disease taxonomy, causal pathways, and biomarkers can be refined and targeted therapeutically.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>We argue that \u201cobesityomics\u201d is a pragmatic approach to aligning omics modalities to the right questions at the right time, not a wholesale merger of datasets. Artificial intelligence (AI)\u2014including machine learning and deep learning\u2014should be used in conjunction with quality control, feature selection, modest data integration, and obesity intervention prediction. Among the key challenges in managing sensitive multilayer data are harmonization, standardization, reproducibility, equitable representation, and governance. The translation priorities include prospective studies related to patient\u2010centered outcomes, biomarker panels that are clinic\u2010ready, interoperability standards, and cost\u2010effectiveness evaluations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The review maps concrete steps to assist people with obesity in making better choices by identifying what each omics domain excels at and introducing a brief AI perspective.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/obr.70226","type":"journal-article","created":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T09:39:53Z","timestamp":1791797993000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Toward \u201cObesityomics\u201d: Domain\u2010Specific Omics in Precision Obesity Medicine with a Brief AI Perspective"],"prefix":"10.1111","author":[{"given":"Nadia Abu","family":"Samra","sequence":"first","affiliation":[{"name":"Department of Biological Sciences, College of Medicine and Health Sciences Khalifa University  Abu Dhabi UAE"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-4467-8799","authenticated-orcid":false,"given":"Sara G. 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