Evidence map›Paper›PMID 42373948›Full record

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 paragraph

Article 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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

28 authors.

Oliver RobinsonDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK. o.robinson@imperial.ac.uk.ORCID http://orcid.org/0000-0002-4735-0468
Han XiaoDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Jan HomannInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.ORCID http://orcid.org/0000-0003-2791-7065
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.
Philipp FrankBrain Sciences, University College London, London, UK.ORCID http://orcid.org/0000-0001-8824-8673
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.
Rudolf KaaksDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID http://orcid.org/0000-0003-3751-3929
Verena A KatzkeDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Mika KivimakiBrain Sciences, University College London, London, UK.ORCID http://orcid.org/0000-0002-4699-5627
Claudia LangenbergPrecision Healthcare University Research Institute, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0002-5017-7344
Chung-Ho E LauDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-3602-8326
Lefkos MiddletonAgeing Epidemiology Research (AGE) Unit, School of Public Health, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-2176-403X
N Charlotte Onland-MoretJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.ORCID http://orcid.org/0000-0002-2360-913X
Salvatore PanicoFederico II University, Naples, Italy.ORCID http://orcid.org/0000-0002-5498-8312
Anna PrizmentDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.ORCID http://orcid.org/0000-0001-5924-6871
Fulvio RicceriCentre for Biostatistics, Epidemiology, and Public Health, Department of Clinical and Biological Sciences, University of Turin, Turin, Italy.ORCID http://orcid.org/0000-0001-8749-9737
María-José SánchezCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Karl Smith-ByrneCancer Epidemiology Unit, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-1932-7463
W M Monique VerschurenJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Roel VermeulenInstitute for Risk Assessment Sciences at Utrecht University, Utrecht, the Netherlands.ORCID http://orcid.org/0000-0003-4082-8163
Paolo VineisDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.ORCID http://orcid.org/0000-0001-8935-4566
Shuo WangDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.
Nick WarehamMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-1422-2993
Christina M LillAgeing Epidemiology Research (AGE) Unit, School of Public Health, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-2805-1307
Elio RiboliDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.ORCID http://orcid.org/0000-0001-6795-6080
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
$30.8M
Education, 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
$2.8M
Role 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
$1.5M
Proteomic aging in adults before and after cancer diagnosisR01CA267977 · NCI · UNIVERSITY OF MINNESOTA · PI PRIZMENT, ANNA · 2022 to 2024
$1.0M
Cancer 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 itself

Abstract

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

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.