{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T11:15:17Z","timestamp":1788952517185,"version":"build-2803163510"},"reference-count":33,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100002457","name":"Chosun University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002457","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Mechanisms of Ageing and Development"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.mad.2026.112240","type":"journal-article","created":{"date-parts":[[2026,8,22]],"date-time":"2026-08-22T09:20:36Z","timestamp":1787390436000},"page":"112240","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Ensemble DNA methylation clock demonstrates Immune-metabolic aging signatures associated with mortality"],"prefix":"10.1016","volume":"233","author":[{"given":"Yugan Gogul","family":"Muthukumar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karthikeyan A.","family":"Vijayakumar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gwang-Won","family":"Cho","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.mad.2026.112240_bib1","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/S0197-2456(97)00078-0","article-title":"Design of the Women\u2019s Health Initiative clinical trial and observational study","volume":"19","author":"Anderson","year":"1998","journal-title":"Control. Clin. Trials"},{"key":"10.1016\/j.mad.2026.112240_bib2","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.73420","article-title":"DunedinPACE, A DNA methylation biomarker of the pace of aging","volume":"11","author":"Belsky","year":"2022","journal-title":"ELife"},{"issue":"1","key":"10.1016\/j.mad.2026.112240_bib3","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1186\/s13104-019-4633-1","article-title":"A pilot prospective study of sleep patterns and DNA methylation-characterized epigenetic aging in young adults","volume":"12","author":"Carskadon","year":"2019","journal-title":"BMC Res. Notes"},{"issue":"2","key":"10.1016\/j.mad.2026.112240_bib4","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1111\/j.2517-6161.1972.tb00899.x","article-title":"Regression models and life-tables","volume":"34","author":"Cox","year":"1972","journal-title":"J. R. Stat. Soc. Ser. B (Methodol.)"},{"issue":"14","key":"10.1016\/j.mad.2026.112240_bib5","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.1080\/17501911.2024.2373682","article-title":"Generations of epigenetic clocks and their links to socioeconomic status in the health and retirement study","volume":"16","author":"Crimmins","year":"2024","journal-title":"Epigenomics"},{"issue":"40","key":"10.1016\/j.mad.2026.112240_bib6","doi-asserted-by":"crossref","first-page":"1317","DOI":"10.21105\/joss.01317","article-title":"lifelines: survival analysis in Python","volume":"4","author":"Davidson-Pilon","year":"2019","journal-title":"J. Open. Source Softw."},{"issue":"4","key":"10.1016\/j.mad.2026.112240_bib7","doi-asserted-by":"crossref","first-page":"518","DOI":"10.1016\/0091-7435(75)90037-7","article-title":"The Framingham Offspring Study. Design and preliminary data","volume":"4","author":"Feinleib","year":"1975","journal-title":"Prev. Med."},{"issue":"9","key":"10.1016\/j.mad.2026.112240_bib8","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1038\/s41569-018-0064-2","article-title":"Inflammageing: chronic inflammation in ageing, cardiovascular disease, and frailty","volume":"15","author":"Ferrucci","year":"2018","journal-title":"Nat. Rev. Cardiol."},{"issue":"1","key":"10.1016\/j.mad.2026.112240_bib9","doi-asserted-by":"crossref","first-page":"S4","DOI":"10.1093\/gerona\/glu057","article-title":"Chronic inflammation (inflammaging) and its potential contribution to age-associated diseases","volume":"69","author":"Franceschi","year":"2014","journal-title":"J. Gerontol. Ser. A Biol. Sci. Med. Sci."},{"issue":"5","key":"10.1016\/j.mad.2026.112240_bib10","doi-asserted-by":"crossref","first-page":"1252","DOI":"10.14336\/AD.2020.1202","article-title":"DeepMAge: A Methylation Aging Clock Developed with Deep Learning","volume":"12","author":"Galkin","year":"2021","journal-title":"Aging Dis."},{"issue":"30","key":"10.1016\/j.mad.2026.112240_bib11","doi-asserted-by":"crossref","first-page":"46878","DOI":"10.18632\/oncotarget.9795","article-title":"Relationship of tobacco smoking and smokingrelated DNA methylation with epigenetic age acceleration","volume":"7","author":"Gao","year":"2016","journal-title":"Oncotarget"},{"key":"10.1016\/j.mad.2026.112240_bib12","doi-asserted-by":"crossref","DOI":"10.1016\/j.arr.2024.102546","article-title":"Epigenetic clocks and programmatic aging","volume":"101","author":"Gems","year":"2024","journal-title":"Ageing Res. Rev."},{"key":"10.1016\/j.mad.2026.112240_bib13","doi-asserted-by":"crossref","DOI":"10.1007\/s11357-025-01808-1","article-title":"EnsembleAge: enhancing epigenetic age assessment with a multi-clock framework","author":"Haghani","year":"2025","journal-title":"GeroScience"},{"issue":"2","key":"10.1016\/j.mad.2026.112240_bib14","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1016\/j.molcel.2012.10.016","article-title":"Genome-wide methylation profiles reveal quantitative views of human aging rates","volume":"49","author":"Hannum","year":"2013","journal-title":"Mol. Cell."},{"issue":"7","key":"10.1016\/j.mad.2026.112240_bib15","doi-asserted-by":"crossref","first-page":"644","DOI":"10.1038\/s43587-022-00248-2","article-title":"A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking","volume":"2","author":"Higgins-Chen","year":"2022","journal-title":"Nat. Aging"},{"issue":"8","key":"10.1016\/j.mad.2026.112240_bib16","doi-asserted-by":"crossref","first-page":"3806","DOI":"10.1038\/s41380-019-0616-9","article-title":"An epigenetic predictor of death captures multi-modal measures of brain health","volume":"26","author":"Hillary","year":"2021","journal-title":"Mol. Psychiatry"},{"issue":"10","key":"10.1016\/j.mad.2026.112240_bib17","doi-asserted-by":"crossref","DOI":"10.1186\/gb-2013-14-10-r115","article-title":"DNA methylation age of human tissues and cell types","volume":"14","author":"Horvath","year":"2013","journal-title":"Genome Biol."},{"issue":"6","key":"10.1016\/j.mad.2026.112240_bib18","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1038\/s41576-018-0004-3","article-title":"DNA methylation-based biomarkers and the epigenetic clock theory of ageing","volume":"19","author":"Horvath","year":"2018","journal-title":"Nat. Rev. Genet."},{"issue":"1","key":"10.1016\/j.mad.2026.112240_bib19","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1093\/biostatistics\/kxj037","article-title":"Adjusting batch effects in microarray expression data using empirical Bayes methods","volume":"8","author":"Johnson","year":"2007","journal-title":"Biostatistics"},{"issue":"1","key":"10.1016\/j.mad.2026.112240_bib20","doi-asserted-by":"crossref","DOI":"10.1186\/s12874-018-0482-1","article-title":"DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network","volume":"18","author":"Katzman","year":"2018","journal-title":"BMC Med. Res. Methodol."},{"issue":"129","key":"10.1016\/j.mad.2026.112240_bib21","first-page":"1","article-title":"Time-to-event prediction with neural networks and Cox regression","volume":"20","author":"Kvamme","year":"2019","journal-title":"J. Mach. Learn. Res."},{"issue":"4","key":"10.1016\/j.mad.2026.112240_bib22","doi-asserted-by":"crossref","first-page":"573","DOI":"10.18632\/aging.101414","article-title":"An epigenetic biomarker of aging for lifespan and healthspan","volume":"10","author":"Levine","year":"2018","journal-title":"Aging"},{"issue":"4","key":"10.1016\/j.mad.2026.112240_bib23","doi-asserted-by":"crossref","DOI":"10.1093\/bioinformatics\/btae200","article-title":"pyaging: a Python-based compendium of GPU-optimized aging clocks","volume":"40","author":"de Lima Camillo","year":"2024","journal-title":"Bioinformatics"},{"issue":"1","key":"10.1016\/j.mad.2026.112240_bib24","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1038\/s41514-022-00085-y","article-title":"A pan-tissue DNA-methylation epigenetic clock based on deep learning","volume":"8","author":"de Lima Camillo","year":"2022","journal-title":"npj Aging"},{"issue":"6","key":"10.1016\/j.mad.2026.112240_bib25","doi-asserted-by":"crossref","first-page":"1194","DOI":"10.1016\/j.cell.2013.05.039","article-title":"The hallmarks of aging","volume":"153","author":"L\u00f3pez-Ot\u00edn","year":"2013","journal-title":"Cell"},{"issue":"2","key":"10.1016\/j.mad.2026.112240_bib26","doi-asserted-by":"crossref","first-page":"303","DOI":"10.18632\/aging.101684","article-title":"DNA methylation GrimAge strongly predicts lifespan and healthspan","volume":"11","author":"Lu","year":"2019","journal-title":"Aging"},{"issue":"1","key":"10.1016\/j.mad.2026.112240_bib27","doi-asserted-by":"crossref","DOI":"10.1186\/s13059-015-0584-6","article-title":"DNA methylation age of blood predicts all-cause mortality in later life","volume":"16","author":"Marioni","year":"2015","journal-title":"Genome Biol."},{"issue":"5","key":"10.1016\/j.mad.2026.112240_bib28","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1097\/PSY.0000000000001320","article-title":"New directions in geroscience: integrating social and behavioral drivers of biological aging","volume":"86","author":"Nielsen","year":"2024","journal-title":"Psychosom. Med."},{"issue":"212","key":"10.1016\/j.mad.2026.112240_bib29","first-page":"1","article-title":"scikit-survival: A Library for Time-to-Event Analysis Built on Top of scikit-learn","volume":"21","author":"P\u00f6lsterl","year":"2020","journal-title":"J. Mach. Learn. Res."},{"key":"10.1016\/j.mad.2026.112240_bib30","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.clim.2018.04.002","article-title":"Immune senescence, epigenetics and autoimmunity","volume":"196","author":"Ray","year":"2018","journal-title":"Clinical Immunology (Orlando Fla. )"},{"issue":"7","key":"10.1016\/j.mad.2026.112240_bib31","doi-asserted-by":"crossref","DOI":"10.1093\/nar\/gkv007","article-title":"limma powers differential expression analyses for RNA-sequencing and microarray studies","volume":"43","author":"Ritchie","year":"2015","journal-title":"Nucleic Acids Res."},{"issue":"11","key":"10.1016\/j.mad.2026.112240_bib32","doi-asserted-by":"crossref","first-page":"1328","DOI":"10.1093\/aje\/kwm021","article-title":"The Third Generation Cohort of the National Heart, Lung, and Blood Institute\u2019s Framingham Heart Study: design, recruitment, and initial examination","volume":"165","author":"Splansky","year":"2007","journal-title":"Am. J. Epidemiol."},{"issue":"5","key":"10.1016\/j.mad.2026.112240_bib33","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1089\/omi.2011.0118","article-title":"clusterProfiler: an R package for comparing biological themes among gene clusters","volume":"16","author":"Yu","year":"2012","journal-title":"OMICS A J. Integr. Biol."}],"container-title":["Mechanisms of Ageing and Development"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0047637426000928?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0047637426000928?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T10:42:13Z","timestamp":1788950533000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0047637426000928"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":33,"alternative-id":["S0047637426000928"],"URL":"https:\/\/doi.org\/10.1016\/j.mad.2026.112240","relation":{},"ISSN":["0047-6374"],"issn-type":[{"value":"0047-6374","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Ensemble DNA methylation clock demonstrates Immune-metabolic aging signatures associated with mortality","name":"articletitle","label":"Article Title"},{"value":"Mechanisms of Ageing and Development","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.mad.2026.112240","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"112240"}}