Abstract
Aging is a complex process influenced by mechanisms operating at numerous levels of functioning. Multiple biomarkers of age have been identified, yet we know little about how the different alternative age indicators are intertwined. In the Berlin Aging Study II (nmin = 328; nmax = 1 517, women = 51%; 14.27 years of education), we examined how levels and 7-year changes in indicators derived from blood assays, magnetic resonance imaging brain scans, other-ratings, and self-reports converge among older adults. We included 8 epigenetic biomarkers (incl. 5 epigenetic “clocks”), a BioAge composite from clinical laboratory parameters, brain age, skin age, subjective age, subjective life expectancy, and subjective health horizon. We found moderate associations within aging domains, both cross-sectionally and longitudinally over 7 years. However, associations across different domains were infrequent and modest. Notably, participants with older BioAge had correspondingly older epigenetic ages. Our results suggest that different aging clocks are only loosely interconnected and that more specific measures are needed to differentiate healthy from unhealthy aging.
| Original language | English |
|---|---|
| Article number | glae244 |
| Journal | Journals of Gerontology - Series A Biological Sciences and Medical Sciences |
| Volume | 80 |
| Issue number | 6 |
| ISSN | 1079-5006 |
| DOIs | |
| Publication status | Published - 01.06.2025 |
Funding
| Funders | Funder number |
|---|---|
| Max Planck Institute | |
| Bundesministerium für Bildung und Forschung | 16SV5536K, 01GL1716B, 01UW0808, 01GL1716A, 16SV5538, 16SV5537, 16SV5837 |
| Deutsche Forschungsgemeinschaft | 460683900, LI 2654/4-1 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Research Areas and Centers
- Research Area: Medical Genetics
DFG Research Classification Scheme
- 2.23-06 Molecular and Cellular Neurology and Neuropathology
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