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

Author:

Vetter Valentin M12ORCID,Kalies Christian H1,Sommerer Yasmine3,Spira Dominik1,Drewelies Johanna2,Regitz-Zagrosek Vera45ORCID,Bertram Lars36,Gerstorf Denis2ORCID,Demuth Ilja17

Affiliation:

1. Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center , Berlin , Germany

2. Department of Psychology, Humboldt University Berlin , Berlin , Germany

3. Lübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck , Lübeck , Germany

4. Institute for Gender in Medicine, Center for Cardiovascular Research, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health , Berlin , Germany

5. Department of Cardiology, University Hospital Zürich, University of Zürich , Zürich , Switzerland

6. Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo , Oslo , Norway

7. Charité—Universitätsmedizin Berlin, Berlin Institute of Health Center for Regenerative Therapies , Berlin , Germany

Abstract

Abstract 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.

Funder

Deutsche Forschungsgemeinschaft

German Federal Ministry of Education and Research

Publisher

Oxford University Press (OUP)

Subject

Geriatrics and Gerontology,Aging

Reference51 articles.

1. The hallmarks of aging;López-Otín;Cell,2013

2. DNA methylation-based biomarkers and the epigenetic clock theory of ageing;Horvath;Nat Rev Genet,2018

3. Biological age predictors;Jylhävä;EBioMedicine,2017

4. Genome-wide methylation profiles reveal quantitative views of human aging rates;Hannum;Mol Cell,2013

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