Epigenetic and Metabolomic Biomarkers for Biological Age

Epigenetic and Metabolomic Biomarkers for Biological Age: A Comparative Analysis of Mortality and Frailty Risk

Kuiper, L.M. (TU Delft Pattern Recognition and Bioinformatics; Erasmus MC; Center for Nutrition)
Polinder-Bos, Harmke A. (Erasmus MC)
Bizzarri, D. (TU Delft Pattern Recognition and Bioinformatics; Leiden University Medical Center)
Vojinovic, Dina (Leiden University Medical Center; Erasmus MC)
Vallerga, Costanza L. (Erasmus MC)
Reinders, M.J.T. (TU Delft Pattern Recognition and Bioinformatics; Leiden University Medical Center)
Slagboom, P. Eline (Leiden University Medical Center; Max Planck Institute for Biology of Ageing)
van den Akker, E.B. (TU Delft Pattern Recognition and Bioinformatics; Leiden University Medical Center)

2023

Biological age captures a person's age-related risk of unfavorable outcomes using biophysiological information. Multivariate biological age measures include frailty scores and molecular biomarkers. These measures are often studied in isolation, but here we present a large-scale study comparing them. In 2 prospective cohorts (n = 3 222), we compared epigenetic (DNAm Horvath, DNAm Hannum, DNAm Lin, DNAm epiTOC, DNAm PhenoAge, DNAm DunedinPoAm, DNAm GrimAge, and DNAm Zhang) and metabolomic-based (MetaboAge and MetaboHealth) biomarkers in reflection of biological age, as represented by 5 frailty measures and overall mortality. Biomarkers trained on outcomes with biophysiological and/or mortality information outperformed age-trained biomarkers in frailty reflection and mortality prediction. DNAm GrimAge and MetaboHealth, trained on mortality, showed the strongest association with these outcomes. The associations of DNAm GrimAge and MetaboHealth with frailty and mortality were independent of each other and of the frailty score mimicking clinical geriatric assessment. Epigenetic, metabolomic, and clinical biological age markers seem to capture different aspects of aging. These findings suggest that mortality-trained molecular markers may provide novel phenotype reflecting biological age and strengthen current clinical geriatric health and well-being assessment.

DNA methylation
Frailty
Mortality

http://resolver.tudelft.nl/uuid:ce390c31-6c9b-465a-a960-1720c1354d24

https://doi.org/10.1093/gerona/glad137

1079-5006

Journals of Gerontology - Series A Biological Sciences and Medical Sciences, 78 (10), 1753-1762

Institutional Repository

journal article

© 2023 L.M. Kuiper, Harmke A. Polinder-Bos, D. Bizzarri, Dina Vojinovic, Costanza L. Vallerga, M.J.T. Reinders, P. Eline Slagboom, E.B. van den Akker, More Authors