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Comparing fourteen consensus biomarkers of aging: epigenetic pace of aging as the strongest predictor of mortality in BASE-II

Valentin Max Vetter, Marit Philine Junge, Christian Andre Drevon, Thomas E. Gundersen, Jan Homann, Christina M. Lill, Ulman Lindenberger, Graham Pawelec, Lars Bertram, Denis Gerstorf, Ilja Demuth

edoc Publication server (Humboldt University of Berlin) · 2026

Abstract

Background: In many countries, lifespan has been increasing faster than healthspan(definition), leading to more years spent with late-life disease and highlighting the need for reliable biomarkers to measure biological aging. Methods: We used data from the Berlin Aging Study II (BASE-II, 60–80 years of age at baseline, average follow-up 7.4 ± 1.5 years, range 3.9–10.4, n = 1,083) to compare 14 biomarkers of aging recently consented by an expert panel for the use as outcome measures in intervention studies: physiological (insulin-like growth factor 1 (IGF-1), growth-differentiating factor-15 (DNA methylation derived, DNAmGDF15)), inflammatory (high sensitivity C-reactive protein (CRP), interleukin-6 (IL-6)), functional (muscle mass, muscle strength, hand grip strength (HGS), Timed-Up-and-Go (TUG), gait speed, standing balance test, frailty phenotype (FP), cognitive health, blood pressure), and epigenetic (epigenetic clock(definition), DunedinPACE). Cox proportional hazard regression analyses were performed to investigate their role in prediction of all-cause as well as cause-specific mortality. Results were adjusted for age, sex, lifestyle factors, and genetic ancestry. Results: In adjusted models of all-cause mortality, HGS, IL-6, standing balance, cognitive health, and the epigenetic clock (DunedinPACE) statistically significantly predicted mortality, with the epigenetic clock (DunedinPACE) emerging as the strongest predictor. CRP, gait speed, IGF-1, blood pressure, muscle mass, DNAmGDF15, FP and TUG were not associated with mortality in this study. These results were corroborated in subgroup analyses stratified by cause of death. Feature selection identified a minimal biomarker set consisting of muscle mass, standing balance, and epigenetic clock (DunedinPACE) that predicted mortality with nearly the same discriminative accuracy (C-index = 0.63) as the full model including all biomarkers (C-index = 0.65). Conclusion: Among the fourteen investigated biomarkers of aging, DunedinPACE emerged with the strongest and most consistent association with mortality.

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Provenance

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OpenAlex
DOI
10.18452/37113
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2026-10-16 MST

Cite this

APA
Vetter, V.M., Junge, M.P., Drevon, C.A., Gundersen, T.E., Homann, J., Lill, C.M., Lindenberger, U., Pawelec, G., Bertram, L., Gerstorf, D., &amp; Demuth, I. (2026). Comparing fourteen consensus biomarkers of aging: epigenetic pace of aging as the strongest predictor of mortality in BASE-II. <em>edoc Publication server (Humboldt University of Berlin)</em>. https://doi.org/10.18452/37113
Vancouver
Vetter VM, Junge MP, Drevon CA, Gundersen TE, Homann J, Lill CM, et al. Comparing fourteen consensus biomarkers of aging: epigenetic pace of aging as the strongest predictor of mortality in BASE-II. edoc Publication server (Humboldt University of Berlin). 2026. doi:10.18452/37113.
BibTeX
@unpublished{valentin2026Compar, title = {Comparing fourteen consensus biomarkers of aging: epigenetic pace of aging as the strongest predictor of mortality in BASE-II}, author = {Valentin Max Vetter and Marit Philine Junge and Christian Andre Drevon and Thomas E. Gundersen and Jan Homann and Christina M. Lill and Ulman Lindenberger and Graham Pawelec and Lars Bertram and Denis Gerstorf and Ilja Demuth}, journal = {edoc Publication server (Humboldt University of Berlin)}, year = {2026}, doi = {10.18452/37113}, }

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