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Relationship Between 5 Epigenetic Clocks, Telomere Length, and Functional Capacity Assessed in Older Adults: Cross-Sectional and Longitudinal Analyses.

Valentin Max VetterChristian H KaliesYasmine SommererDominik SpiraJohanna DreweliesVera Regitz-ZagrosekLars BertramDenis GerstorfIlja Demuth
Published in: The journals of gerontology. Series A, Biological sciences and medical sciences (2022)
DNA methylation age acceleration (DNAmAA, derived from an epigenetic clock) and relative leukocyte telomere length (rLTL) are widely accepted biomarkers of aging. Nevertheless, it is still unclear which aspects of aging they represent best. Here we evaluated longitudinal associations between baseline rLTL and DNAmAA (estimated with 7-CpG clock) and functional assessments covering different domains of aging. Additionally, we made use of cross-sectional data on these assessments and examined their association with DNAmAA estimated by 5 different DNAm age measures. Two-wave longitudinal data were available for 1 083 participants of the Berlin Aging Study II who were reexamined on average 7.4 years after baseline as part of the GendAge study. Functional outcomes were assessed with Fried's frailty score, Tinetti mobility test, falls in the past 12 months (yes/no), finger-floor distance, Mini-Mental State Examination, Center for Epidemiologic Studies-Depression scale, activities of daily living, instrumented ADL, and mini nutritional assessment. Overall, we found no evidence for an association between the molecular biomarkers measured at baseline, rLTL, and DNAmAA (7-CpG clock), and functional assessments assessed at follow-up. Similarly, a cross-sectional analysis of follow-up data did also not show evidence for associations of the various DNAmAA measures (7-CpG clock, Horvath's clock, Hannum's clock PhenoAge, and GrimAge) with functional assessments. In conclusion, neither rLTL nor 7-CpG DNAmAA was able to predict impairment in the analyzed assessments over a ~7-year time course. Similarly, DNAmAA estimated from 5 epigenetic clocks was not a good cross-sectional marker of health deterioration either.
Keyphrases
  • dna methylation
  • cross sectional
  • genome wide
  • gene expression
  • electronic health record
  • mental health
  • big data
  • healthcare
  • physical activity
  • machine learning
  • artificial intelligence