闲暇时间和职业体力活动与表观遗传衰老的关联不同。
Leisure-Time and Occupational Physical Activity Associates Differently with Epigenetic Aging.
机构信息
Gerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND.
Methodology Center for Human Sciences, University of Jyväskylä, Jyväskylä, FINLAND.
出版信息
Med Sci Sports Exerc. 2021 Mar 1;53(3):487-495. doi: 10.1249/MSS.0000000000002498.
PURPOSE
Greater leisure-time physical activity (LTPA) associates with healthier lives, but knowledge regarding occupational physical activity (OPA) is more inconsistent. DNA methylation (DNAm) patterns capture age-related changes in different tissues. We aimed to assess how LTPA and OPA are associated with three DNAm-based epigenetic age estimates, namely, DNAm age, PhenoAge, and GrimAge.
METHODS
The participants were young adult (21-25 yr, n = 285) and older (55-74 yr, n = 235) twin pairs, including 16 pairs with documented long-term LTPA discordance. Genome-wide DNAm from blood samples was used to compute DNAm age, PhenoAge, and GrimAge Age acceleration (Acc), which describes the difference between chronological and epigenetic ages. Physical activity was assessed with sport, leisure-time, and work indices based on the Baecke Questionnaire. Genetic and environmental variance components of epigenetic age Acc were estimated by quantitative genetic modeling.
RESULTS
Epigenetic age Acc was highly heritable in young adult and older twin pairs (~60%). Sport index was associated with slower and OPA with faster DNAm GrimAge Acc after adjusting the model for sex. Genetic factors and nonshared environmental factors in common with sport index explained 1.5%-2.7% and 1.9%-3.5%, respectively, of the variation in GrimAge Acc. The corresponding proportions considering OPA were 0.4%-1.8% and 0.7%-1.8%, respectively. However, these proportions were minor (<0.5%) after adjusting the model for smoking status.
CONCLUSIONS
LTPA associates with slower and OPA with faster epigenetic aging. However, adjusting the models for smoking status, which may reflect the accumulation of unhealthy lifestyle habits, attenuated the associations.
目的
更多的闲暇时间体力活动（LTPA）与更健康的生活相关，但职业体力活动（OPA）的知识则更为不一致。DNA 甲基化（DNAm）模式可捕获不同组织中与年龄相关的变化。我们旨在评估 LTPA 和 OPA 与三种基于 DNAm 的表观遗传年龄估计值（即 DNAm 年龄、PhenoAge 和 GrimAge）的关联。
方法
参与者为年轻成人（21-25 岁，n=285）和老年人（55-74 岁，n=235）双胞胎对，其中包括 16 对记录有长期 LTPA 不一致的双胞胎。使用来自血液样本的全基因组 DNAm 来计算 DNAm 年龄、PhenoAge 和 GrimAge 年龄加速（Acc），Acc 描述了实际年龄和表观遗传年龄之间的差异。通过基于 Baecke 问卷的运动、休闲时间和工作指数来评估体力活动。通过定量遗传建模估计表观遗传年龄 Acc 的遗传和环境方差分量。
结果
年轻成人和老年人双胞胎对的表观遗传年龄 Acc 具有高度遗传性（约 60%）。调整模型中的性别因素后，运动指数与较慢的 DNAm GrimAge Acc 相关，而 OPA 与较快的 DNAm GrimAge Acc 相关。运动指数的遗传因素和共同非共享环境因素分别解释了 GrimAge Acc 变异的 1.5%-2.7%和 1.9%-3.5%。考虑 OPA 时，相应的比例分别为 0.4%-1.8%和 0.7%-1.8%。然而，在调整模型中的吸烟状况后，这些比例很小（<0.5%）。
结论
LTPA 与较慢的表观遗传衰老相关，而 OPA 则与较快的表观遗传衰老相关。然而，调整模型中的吸烟状况（可能反映了不健康生活方式习惯的积累）会削弱这些关联。
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