The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
Biological age associates with longitudinal frailty-related functional decline: the Health and Retirement Study.
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Prapiadou Savvina, Kimball Tamara N, Tan Benjamin Y Q, Tack Reinier W P, Choksi Devanshi, Duperron Marie-Gabrielle, Senff Jasper R, Reinders Evy M, Feng Tan L, Singh Sanjula D, Rosand Jonathan, Anderson Christopher D
Аннотация
Epigenetic clocks have emerged as markers of biological aging. Understanding their association with age-related functional decline may provide insights into DNA-mediated mechanisms underlying frailty-related functional decline and reveal which clocks best associate with accelerated functional decline. We therefore examined associations between established epigenetic clock measures and longitudinal trajectories of cognitive function, grip strength, and walking speed. We analyzed data from 4018 participants in the Health and Retirement Study with available DNA methylation data and up to 12 years of follow-up data. Using linear mixed-effects models, we examined retrospective associations between 12 epigenetic clocks and longitudinal trajectories of frailty-related functional decline, modeling interactions between each epigenetic clock and time, adjusting for chronological age and sociodemographic covariates. In longitudinal analyses controlling for chronological age, older epigenetic age was associated with faster cognitive decline for Hannum (β = -0.0054, 95% CI, -0.0095 to -0.0014, p = .009) and DNAmGrimAge (β = -0.0141, 95% CI, -0.0174 to -0.0107, p < .001). Higher DNAmGrimAge was associated with accelerated decline in grip strength (β = -0.024, 95% CI, -0.033 to -0.015, p < .001) and decline in walking speed (β = -0.0008, 95% CI, -0.0013 to -0.0004, p < .001). Higher epigenetic clock biological age estimates, particularly DNAmGrimAge, are retrospectively associated with accelerated frailty-related functional decline across multiple functional domains. Systematic comparison of clock derivations may reveal specific epigenetic patterns underlying age-related functional deterioration.