Jókai, Mátyás and Torma, Ferenc Gergely and McGreevy, Kristen M. and Koltai, Erika and Bori, Zoltán and Bábszky, Gergely and Bakonyi, Péter and Gombos, Zoltán and György, Bernadett and Aczél, Dóra Tímea and Tóth, László and Osváth, Péter and Téglás, Tímea and Pósa, Anikó and Kerepesi, Csaba and Radák, Zsolt (2023) DNA methylation clock DNAmFitAge shows regular exercise is associated with slower aging and systemic adaptation. GEROSCIENCE: OFFICIAL JOURNAL OF THE AMERICAN AGING ASSOCIATION (AGE), 45 (5). pp. 2805-2817. ISSN 2509-2715 10.1007/s11357-023-00826-1

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Abstract

DNAmPhenoAge, DNAmGrimAge, and the newly developed DNAmFitAge are DNA methylation (DNAm)-based biomarkers that reflect the individual aging process. Here, we examine the relationship between physical fitness and DNAm-based biomarkers in adults aged 33–88 with a wide range of physical fitness (including athletes with long-term training history). Higher levels of VO 2 max ( ρ = 0.2, p = 6.4E − 4, r = 0.19, p = 1.2E − 3), Jumpmax ( p = 0.11, p = 5.5E − 2, r = 0.13, p = 2.8E − 2), Gripmax ( ρ = 0.17, p = 3.5E − 3, r = 0.16, p = 5.6E − 3), and HDL levels ( ρ = 0.18, p = 1.95E − 3, r = 0.19, p = 1.1E − 3) are associated with better verbal short-term memory. In addition, verbal short-term memory is associated with decelerated aging assessed with the new DNAm biomarker FitAgeAcceleration ( ρ : − 0.18, p = 0.0017). DNAmFitAge can distinguish high-fitness individuals from low/medium-fitness individuals better than existing DNAm biomarkers and estimates a younger biological age in the high-fit males and females (1.5 and 2.0 years younger, respectively). Our research shows that regular physical exercise contributes to observable physiological and methylation differences which are beneficial to the aging process. DNAmFitAge has now emerged as a new biological marker of quality of life.

Item Type:	Article
Subjects:	Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions:	Informatics Laboratory
SWORD Depositor:	MTMT Injector
Depositing User:	MTMT Injector
Date Deposited:	30 Nov 2023 10:48
Last Modified:	30 Nov 2023 10:48
URI:	https://eprints.sztaki.hu/id/eprint/10590

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