Faculty of Sport and Health Sciences, Gerontology Research Center (GEREC), University of Jyväskylä, Jyväskylä, Finland.
Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
J Gerontol A Biol Sci Med Sci. 2023 Aug 2;78(8):1489-1496. doi: 10.1093/gerona/glad026.
Measures of biological aging range from DNA methylation (DNAm)-based estimates to measures of physical abilities. The purpose of this study was to compare DNAm- and physical functioning-based measures of biological aging in predicting mortality.
We studied 63- to 76-year-old women (N = 395) from the Finnish Twin Study on Aging (FITSA). Participants' biological age (epigenetic clocks DNAm GrimAge and DunedinPACE) was estimated using blood DNAm data. Tests of physical functioning conducted under standardized laboratory conditions included the Timed Up and Go (TUG) test and 10-m walk test. Mortality hazard ratios were calculated per every 1 standard deviation (SD) increase in the predictor. Cox regression models were conducted for individuals and twin pairs, the latter controlling for underlying genetic effects. The models were adjusted for known lifestyle predictors of mortality.
During the follow-up period (mean 17.0 years, range 0.2-20.3), 187 participants died. In both the individual-based and pairwise analyses, GrimAge and both functional biomarkers of aging were associated with mortality independent of family relatedness, chronological age, physical activity, body mass index, smoking, education, or chronic diseases. In a model including both the DNAm-based measures and functional biomarkers of aging, GrimAge and TUG remained predictive.
The findings suggest that DNAm GrimAge and the TUG test are strong predictors of mortality independent of each others and genetic influences. DNAm-based measures and functional tests capture different aspects of the aging process and thus complement each other as measures of biological aging in predicting mortality.
生物学年龄的衡量标准从基于 DNA 甲基化(DNAm)的估算到身体机能的衡量标准都有。本研究的目的是比较基于 DNAm 和身体机能的生物学年龄衡量标准在预测死亡率方面的作用。
我们研究了来自芬兰衰老双胞胎研究(FITSA)的 63 岁至 76 岁女性(N=395)。参与者的生物年龄(表观遗传时钟 DNAm GrimAge 和 DunedinPACE)是通过血液 DNAm 数据估算的。在标准化实验室条件下进行的身体机能测试包括计时起立行走测试(TUG)和 10 米步行测试。每增加一个标准差(SD),就计算出死亡率风险比作为预测因子。对个体和双胞胎进行 Cox 回归模型分析,后者控制了潜在的遗传影响。模型调整了与死亡率相关的已知生活方式预测因子。
在随访期间(平均 17.0 年,范围 0.2-20.3),187 名参与者死亡。在个体和双胞胎分析中,GrimAge 和两种衰老的功能生物标志物与死亡率相关,独立于家族相关性、实际年龄、身体活动、体重指数、吸烟、教育或慢性疾病。在包含基于 DNAm 的测量和衰老的功能生物标志物的模型中,GrimAge 和 TUG 仍然具有预测性。
研究结果表明,GrimAge 和 TUG 测试独立于遗传影响,是死亡率的有力预测因子。基于 DNAm 的测量和功能测试捕捉到衰老过程的不同方面,因此在预测死亡率方面作为生物学年龄的衡量标准相互补充。