Abstract
Beyond their essential roles in regulating reproduction and development, sex hormones play a crucial role in the aging processes. Observational studies have indicated that low sex hormone concentrations in older age are associated with adverse health events. DNA methylation age accel¬eration (DNAmAA) estimated from epigenetic clocks quantifies differences in biological aging. DNAmAA was previously shown to be associated with age at menopause, ovariectomy, hormone replacement therapy, and testosterone level. We analyzed the relationship between estradiol, dehydroepiandrosterone sulfate (DHEAS) and the Free Androgen Index with DNAmAA estima¬tors from 6 epigenetic clocks (Horvath's, Hannum's, 7-CpG clock, PhenoAge, GrimAge, DunedinPACE) in 1 404 participants of the Berlin Aging Study II (BASE-II, mean age at baseline 68.7 ± 3.7 years, 48% women). The relationship was investigated in multiple linear regression models cross-sectionally at 2 time points and longitudinally over on average 7.3 years of follow-up. We did not observe any consistent associations between the sex hormones and DNAmAA estimators investigated. However, we found several nominal associations (alpha = 0.05) of unclear relevance. For instance, we identified an inverse association between DHEAS and Horvath's DNAmAA, that is, a reduced biological age with higher DHEAS levels in men at baseline. In women, we found an inverse association between estradiol and DunedinPACE (baseline) and a positive association with GrimAge (follow-up). In longitudinal analyses, ΔDHEAS and ΔDunedinPACE were inversely associated in both sexes. Our results suggest that sex hormones play at best a minor role with respect to biological aging as measured with epigenetic clocks in the older population studied here.
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | glaf106 |
| Zeitschrift | Journals of Gerontology - Series A Biological Sciences and Medical Sciences |
| Jahrgang | 80 |
| Ausgabenummer | 7 |
| ISSN | 1079-5006 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 01.07.2025 |
Fördermittel
This work was supported by grants of the Deutsche Forschungsgemeinschaft (project number 460683900 to I.D. & L.B.), the ERC (as part of the Lifebrain project to L.B.), and the Cure Alzheimer’s Fund (as part of the CIRCUITS consortium to L.B.). Additional funds supporting this research came from a grant of the EU Joint Programme—Neurodegenerative Disease Research (project EPIC4ND, coordination: C.M.L.). This article uses data from the Berlin Aging Study II (BASE-II) and the GendAge study, which were supported by the German Federal Ministry of Education and Research under grant numbers #01UW0808; #16SV5536K, #16SV5537, #16SV5538, #16SV5837, #01GL1716A, and #01GL1716B. J.H. was supported by a grant from the EU Joint Programme—Neurodegenerative Disease Research (JPND2021-650-289, coordinator: C.M.L.). C.M.L. was supported by the Heisenberg programme of the German Research Foundation (DFG; LI 2654/4-1).
| Träger | Trägernummer |
|---|---|
| European Commission | |
| Centre for Research in Neurodegenerative Disease | |
| Cure Alzheimer's Fund | |
| European Research Council | |
| Bundesministerium für Bildung und Forschung | 16SV5536K, 01GL1716B, 01UW0808, 01GL1716A, 16SV5538, 16SV5537, 16SV5837 |
| Deutsche Forschungsgemeinschaft | 460683900, LI 2654/4-1 |
| EU Joint Programme – Neurodegenerative Disease Research | JPND2021-650-289 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
-
SDG 3 – Gesundheit und Wohlergehen
Strategische Forschungsbereiche und Zentren
- Querschnittsbereich: Medizinische Genetik
DFG-Fachsystematik
- 2.23-06 Molekulare und zelluläre Neurologie und Neuropathologie
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