TY - JOUR
T1 - DNA methylation clock DNAmFitAge shows regular exercise is associated with slower aging and systemic adaptation
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
N1 - Publisher Copyright:
© 2023, The Author(s).
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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U2 - 10.1007/s11357-023-00826-1
DO - 10.1007/s11357-023-00826-1
M3 - Article
AN - SCOPUS:85159722620
SN - 2509-2715
VL - 45
SP - 2805
EP - 2817
JO - GeroScience
JF - GeroScience
IS - 5
ER -