ArticleNature aging2026
Associations of proteomic age clocks with lifestyle risk factors, incident chronic diseases and mortality in two European cohorts.
Oliver Robinson, Han Xiao, Jan Homann, Vivian Viallon, Pietro Ferrari, Philipp Frank, José M Huerta, Ana Jiménez Zabala, Rudolf Kaaks, Verena A Katzke and 18 more
Abstract read
In one paragraphArticle in Nature aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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1 · What the graph read from itWhat it found
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2 · The registryThe trial behind it
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3 · Its place in the literatureWho cites it
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4 · The recordCorrections and comments
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5 · Who and what moneyAuthors and funding
28 authors.
Han XiaoDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Vivian ViallonNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
Pietro FerrariNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
José M HuertaDepartment of Epidemiology, Murcia Regional Health Council-IMIB, Murcia, Spain.
Ana Jiménez ZabalaMinistry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastian, Spain.
Verena A KatzkeDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
María-José SánchezCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
W M Monique VerschurenJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Shuo WangDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.
Marc J GunterDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Funding
University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UM1TR004405 · NCATS · UNIVERSITY OF MINNESOTA · PI Bruce R Blazar, Damien A Fair · 2023 to 2026
$30.8MEducation, socioeconomic status and Aging: transitions from multimorbidity to functional limitations and mortalityR01AG056477 · NIA · UNIVERSITY COLLEGE LONDON · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2018 to 2022
$2.8MRole of mid- and late-life risk factors in social inequalities in Alzheimer's Disease and Related DementiasRF1AG062553 · NIA · INSERM PARIS 5 · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2019 to 2019
$1.5MProteomic aging in adults before and after cancer diagnosisR01CA267977 · NCI · UNIVERSITY OF MINNESOTA · PI PRIZMENT, ANNA · 2022 to 2024
$1.0MCancer Research UK (CRUK) C8221/A29017Cancer Research UK (CRUK) C864/A14136Division of Cancer Prevention, National Cancer Institute (NCI Division of Cancer Prevention) R01CA267977Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation) 008994NCATS NIH HHS UM1 TR004405NCI NIH HHS R01 CA267977NIA NIH HHS R01 AG056477NIA NIH HHS RF1 AG062553RCUK | Medical Research Council (MRC) MC_UU_00006/1RCUK | Medical Research Council (MRC) MC-UU_12015/1RCUK | Medical Research Council (MRC) MR/N003284/1RCUK | Medical Research Council (MRC) MR/S03532X/1RCUK | Medical Research Council (MRC) MR/Y02012X/1RCUK | MRC | Medical Research Foundation MR/Y013662/1U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG056477Wellcome TrustWellcome Trust (Wellcome) 221854/Z/20/Z
6 · The paper itselfAbstract
Assessment of biological aging using proteomic clocks may enhance risk prediction and elucidate the molecular links between aging and chronic diseases. Here, among 17,473 participants of the European Prospective Investigation into Cancer and Nutrition, we examined associations of plasma SomaScan-based proteomic clocks, including organ-specific clocks, with risk factors, 24 incident chronic diseases and all-cause mortality, over up to 28 years of follow-up. Replication was conducted in the Whitehall II study. We show that the global age gap, an age acceleration score combining proteomic clocks, was associated with smoking, alcohol consumption, physical inactivity and higher risk of mortality, cardiovascular diseases, dementia and cancers of the liver, upper aero-digestive tract, lung and kidney. Lung, kidney and stomach cancers were more strongly associated with related organ-specific age gaps. Predictive performance of proteomic clocks for mortality was comparable to that of classical lifestyle risk factors. In summary, proteomic clocks appear promising biomarkers of generalized age-related disease risk.
Indexed as
AgingLife StyleProteomicsAgedBiomarkersChronic DiseaseCohort StudiesEuropeFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsBiomarkers
Identifiers
PMID42373948
PMCPMC13375651
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