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

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

doi:10.1007/s11357-023-00826-1

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

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 SuzukiKumpei Tanisawa, Sataro Goto, Csaba Kerepesi, Istvan Boldogh, Xueqing Ba, Kelvin J.A. Davies, Steve Horvath, Zsolt Radak

Research output: Contribution to journal › Article › peer-review

28 Scopus citations

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 VO₂max (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.

Original language	English (US)
Pages (from-to)	2805-2817
Number of pages	13
Journal	GeroScience
Volume	45
Issue number	5
DOIs	https://doi.org/10.1007/s11357-023-00826-1
State	Published - Oct 2023
Externally published	Yes

Keywords

DNA methylation
DNAmFitAge
Regular exercise
Slower aging
Systemic adaptation

ASJC Scopus subject areas

Aging
veterinary (miscalleneous)
Complementary and alternative medicine
Geriatrics and Gerontology
Cardiology and Cardiovascular Medicine

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10.1007/s11357-023-00826-1

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Jokai, M., Torma, F., McGreevy, K. M., Koltai, E., Bori, Z., Babszki, G., Bakonyi, P., Gombos, Z., Gyorgy, B., Aczel, D., Toth, L., Osvath, P., Fridvalszky, M., Teglas, T., Posa, A., Kujach, S., Olek, R., Kawamura, T., Seki, Y., ... Radak, Z. (2023). DNA methylation clock DNAmFitAge shows regular exercise is associated with slower aging and systemic adaptation. GeroScience, 45(5), 2805-2817. https://doi.org/10.1007/s11357-023-00826-1

Jokai, M, Torma, F, McGreevy, KM, Koltai, E, Bori, Z, Babszki, G, Bakonyi, P, Gombos, Z, Gyorgy, B, Aczel, D, Toth, L, Osvath, P, Fridvalszky, M, Teglas, T, Posa, A, Kujach, S, Olek, R, Kawamura, T, Seki, Y, Suzuki, K, Tanisawa, K, Goto, S, Kerepesi, C, Boldogh, I, Ba, X, Davies, KJA, Horvath, S & Radak, Z 2023, 'DNA methylation clock DNAmFitAge shows regular exercise is associated with slower aging and systemic adaptation', GeroScience, vol. 45, no. 5, pp. 2805-2817. https://doi.org/10.1007/s11357-023-00826-1

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title = "DNA methylation clock DNAmFitAge shows regular exercise is associated with slower aging and systemic adaptation",

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 VO2max (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.",

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

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doi = "10.1007/s11357-023-00826-1",

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AU - Jokai, Matyas

AU - Torma, Ferenc

AU - McGreevy, Kristen M.

AU - Koltai, Erika

AU - Bori, Zoltan

AU - Babszki, Gergely

AU - Bakonyi, Peter

AU - Gombos, Zoltan

AU - Gyorgy, Bernadett

AU - Aczel, Dora

AU - Toth, Laszlo

AU - Osvath, Peter

AU - Fridvalszky, Marcell

AU - Teglas, Timea

AU - Posa, Aniko

AU - Kujach, Sylwester

AU - Olek, Robert

AU - Kawamura, Takuji

AU - Seki, Yasuhiro

AU - Suzuki, Katsuhiko

AU - Tanisawa, Kumpei

AU - Goto, Sataro

AU - Kerepesi, Csaba

AU - Boldogh, Istvan

AU - Ba, Xueqing

AU - Davies, Kelvin J.A.

AU - Horvath, Steve

AU - Radak, Zsolt

PY - 2023/10

Y1 - 2023/10

N2 - 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 VO2max (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.

AB - 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 VO2max (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.

KW - DNA methylation

KW - DNAmFitAge

KW - Regular exercise

KW - Slower aging

KW - Systemic adaptation

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

Abstract

Keywords

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