Zheng Haoxin Tina, Li Danmeng Lily, Lou Makayla W C, Hodge Allison M, Southey Melissa C, Giles Graham G, Milne Roger L, Lynch Brigid M, Dugué Pierre-Antoine
Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.
Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
Geroscience. 2025 Apr;47(2):2263-2274. doi: 10.1007/s11357-024-01408-5. Epub 2024 Nov 7.
Epigenetic age quantifies biological age using DNA methylation information and is a potential pathway by which physical activity benefits general health. We aimed to assess the cross-sectional and longitudinal associations between physical activity and epigenetic age in middle-aged and older Australians. Blood DNA methylation data for 6208 participants (40% female) in the Melbourne Collaborative Cohort Study (MCCS) were available at baseline (1990-1994, mean age, 59 years) and, of those, for 1009 at follow-up (2003-2007, mean age, 69 years). Physical activity measurements (weighted scores at baseline and follow-up and total MET hours per week at follow-up) were calculated from self-reported questionnaire data. Five blood methylation-based markers of ageing (PCGrimAge, PCPhenoAge, bAge, DNAmFitAge, and DunedinPACE) and four fitness-related markers (DNAmGaitspeed, DNAmGripmax, DNAmVO2max, and DNAmFEV1) were calculated and adjusted for age. Linear regression was used to examine the cross-sectional and longitudinal associations between physical activity and epigenetic age. Effect modification by age, sex, and BMI was assessed. At baseline, a standard deviation (SD) increment in physical activity was associated with 0.03-SD (DNAmFitAge, 95%CI = 0.01, 0.06, P = 0.02) to 0.07-SD (bAge, 95%CI = 0.04, 0.09, P = 2 × 10) lower epigenetic age. These associations were attenuated after adjustment for other lifestyle variables. Only weak evidence was found for the longitudinal association (N = 1009) of changes in physical activity and epigenetic age (e.g. DNAmFitAge: adjusted β = - 0.04, 95%CI = - 0.08, 0.01). The associations were not modified by age, sex, or BMI. In middle-aged and older Australians, higher levels of self-reported physical activity were associated with slightly lower epigenetic age.
表观遗传年龄利用DNA甲基化信息来量化生物年龄，是身体活动有益于总体健康的一条潜在途径。我们旨在评估澳大利亚中年及老年人群中身体活动与表观遗传年龄之间的横断面关联和纵向关联。墨尔本协作队列研究（MCCS）中6208名参与者（40%为女性）的血液DNA甲基化数据在基线期（1990 - 1994年，平均年龄59岁）可用，其中1009人的数据在随访期（2003 - 2007年，平均年龄69岁）可用。身体活动测量值（基线期和随访期的加权分数以及随访期每周的总代谢当量小时数）根据自我报告的问卷数据计算得出。计算了五个基于血液甲基化的衰老标志物（PCGrimAge、PCPhenoAge、bAge、DNAmFitAge和DunedinPACE）以及四个与健康相关的标志物（DNAmGaitspeed、DNAmGripmax、DNAmVO2max和DNAmFEV1），并对年龄进行了校正。采用线性回归来检验身体活动与表观遗传年龄之间的横断面关联和纵向关联。评估了年龄、性别和BMI的效应修饰作用。在基线期，身体活动增加一个标准差（SD）与表观遗传年龄降低0.03 - SD（DNAmFitAge，95%CI = 0.01，0.06，P = 0.02）至0.07 - SD（bAge，95%CI = 0.04，0.09，P = 2×10⁻⁴）相关。在对其他生活方式变量进行校正后，这些关联减弱。仅发现了身体活动变化与表观遗传年龄纵向关联（N = 1009）的微弱证据（例如DNAmFitAge：校正后β = -0.04，95%CI = -0.08，0.01）。这些关联未因年龄、性别或BMI而改变。在澳大利亚中年及老年人群中，自我报告的身体活动水平较高与稍低的表观遗传年龄相关。
