ArticleClinical epigenetics2025
Does polypharmacy affect epigenetic aging in older people? Evidence from a longitudinal epigenome-wide methylation study.
Article in Clinical epigenetics, 2025. 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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Abstract
backgroundPolypharmacy, defined as taking ≥ 5 different daily medications, is common in older adults and has been linked with neuropsychiatric/neurological and other health conditions. To clarify the potential molecular implications, we tested the hypothesis that polypharmacy may influence DNA methylation (DNAm) patterns in aging, in a longitudinal Italian cohort (N = 1,098; mean (SD) age at recruitment: 58.8 (5.6) years, 51.3% women; median (IQR) follow-up 12.6 (1.1) years).
resultsWe tested associations of polypharmacy with several DNAm aging clocks (Hannum, Horvath, GrimAge, DNAmPhenoAge, DunedinPACE), through linear mixed models incrementally adjusted for age, sex, education, prevalent health conditions and lifestyles, leukocyte counts and residual batch effects. This revealed significant positive associations of GrimAge acceleration and DunedinPACE with the switch to polypharmacy status during follow-up (Beta (SE): 0.024 (0.008) and0.0012 (0.0004)). While the association of GrimAge was driven by a DNAm-based surrogate of tissue inhibitor metalloproteinase 1 (TIMP-1), no significant association was detected for component CpGs of DunedinPACE. When we tested associations of polypharmacy with 668,413 CpGs epigenome-wide, we observed no statistically significant findings (top hit: cg07675998; chr11q13.1; Beta (SE) = 0.009 (0.002); p = 1.5 × 10
conclusionsThese findings suggest an influence of polypharmacy on accelerated epigenetic aging and on altered methylation patterns in the genome, suggesting a potential implication of pathways related to renal tissue development, lipoproteins and cholesterol homeostasis, inflammatory and immune response, in line with previous proteomic analyses of polypharmacy mouse models. These observations also suggest potential targets for mitigating disruptive effects of polypharmacy on elderly health.
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