SEARCHCOHORTepidemiology, public health

cohort·epidemiology, public health, internal medicine, preclinical research, biomedical research·PMC10643800

DNA methylation clock DNAmFitAge shows regular exercise is associated with slower aging and systemic adaptation

GeroScience · 28 authors, 14 centres

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This observational cohort study evaluated DNAmFitAge, a DNA methylation biomarker incorporating three fitness estimates—DNAmVO2max, DNAmGripmax, and DNAmGaitspeed—in healthy adults and life-long athletes. High-fit individuals had a 1.5 to 2.0 year younger biological age on average than low/medium-fit individuals in females and males, respectively. Regular exercise attenuated age-associated decline in verbal short-term memory, body strength, explosive strength, and cardiovascular fitness. Limitations include that the low/medium-fitness group likely had better fitness than the general population, and effects of childhood physical activity on DNAmFitAge were not explored.

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cohort

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epidemiology

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ORIGINAL PAPER

PMC10643800

DNA methylation clock DNAmFitAge shows regular exercise is associated with slower aging and systemic adaptation

GeroScience

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ABSTRACT

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. Keywords: DNA methylation, DNAmFitAge, Regular exercise, Slower aging, Systemic adaptation

CITATION EXPORT

Matyas Jokai, Ferenc Torma, Kristen M McGreevy et al.. DNA methylation clock DNAmFitAge shows regular exercise is associated with slower aging and systemic adaptation. GeroScience. (2023). https://doi.org/10.1007/s11357-023-00826-1

AUTHORS

28 · 14 CENTRES

Matyas Jokai, Ferenc Torma, Kristen M McGreevy, Erika Koltai, Zoltan Bori, Gergely Babszki, Peter Bakonyi, Zoltan Gombos, Bernadett Gyorgy, Dora Aczel, Laszlo Toth, Peter Osvath, Marcell Fridvalszky, Timea Teglas, Aniko Posa, Sylwester Kujach, Robert Olek, Takuji Kawamura, Yasuhiro Seki, Katsuhiko Suzuki, Kumpei Tanisawa, Sataro Goto, Csaba Kerepesi, Istvan Boldogh, Xueqing Ba, Kelvin J A Davies, Steve Horvath, Zsolt Radak

1Research Institute of Sport Science, Hungarian University of Sport Science, Budapest, Hungary
2Sports Neuroscience Division, Advanced Research Initiative for Human High Performance (ARIHHP), Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, Tsukuba, 305-8574 Japan
3Laboratory of Exercise Biochemistry and Neuroendocrinology, Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, Tsukuba, 305-8574 Japan
4Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA 90095 USA
5Interdisciplinary Excellence Center, Department of Physiology, Anatomy and Neuroscience, Faculty of Science and Informatics, University of Szeged, 6700 Szeged, Hungary
6Department of Physiology, Faculty of Physical Education, Gdansk University of Physical Education and Sport, Gdańsk, Poland
7Department of Athletics, Strength and Conditioning, Poznań University of Physical Education, Poznań, Poland
8Faculty of Sport Sciences, Waseda University, Tokorozawa, 2-579-15 Japan
9Institute for Computer Science and Control (SZTAKI), Eötvös Loránd Research Network, Budapest, Hungary
10Department of Microbiology and Immunology, University of Texas Medical Branch at Galveston, Galveston, TX 77555 USA
11Key Laboratory of Molecular Epigenetics of Ministry of Education, Northeast Normal University, Changchun, Jilin, China
12Ethel Percy Andrus Gerontology Centre of the Leonard Davis School of Gerontology; Division of Molecular & Computational Biology, Department of Biological Sciences, of the Dornsife College of Letters, Arts, and Sciences; and Department of Biochemistry & Molecular Medicine of the USC Keck School of Medicine, University of Southern California, Los Angeles, CA 90089-0191 USA
13Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095 USA
14Altos Labs, Cambridge Institute of Science, Cambridge, UK