Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Department of Psychology, University of California, Riverside, Riverside, United States.
Elife. 2020 Feb 11;9:e51507. doi: 10.7554/eLife.51507.
Biological age measurements (BAs) assess aging-related physiological change and predict health risks among individuals of the same chronological age (CA). Multiple BAs have been proposed and are well studied individually but not jointly. We included 845 individuals and 3973 repeated measurements from a Swedish population-based cohort and examined longitudinal trajectories, correlations, and mortality associations of nine BAs across 20 years follow-up. We found the longitudinal growth of functional BAs accelerated around age 70; average levels of BA curves differed by sex across the age span (50-90 years). All BAs were correlated to varying degrees; correlations were mostly explained by CA. Individually, all BAs except for telomere length were associated with mortality risk independently of CA. The largest effects were seen for methylation age estimators (GrimAge) and the frailty index (FI). In joint models, two methylation age estimators (Horvath and GrimAge) and FI remained predictive, suggesting they are complementary in predicting mortality.
生物年龄测量（BAs）评估与年龄相关的生理变化，并预测同一年龄（CA）个体的健康风险。已经提出了多种 BA，并对其进行了单独的深入研究，但没有联合研究。我们纳入了一个来自瑞典基于人群的队列的 845 名个体和 3973 次重复测量值，并在 20 年的随访中检查了 9 种 BA 的纵向轨迹、相关性和与死亡率的关联。我们发现，功能性 BA 的纵向增长在 70 岁左右加速；在整个年龄范围内（50-90 岁），BA 曲线的平均水平因性别而异。所有 BA 之间都存在不同程度的相关性；相关性主要由 CA 解释。单独来看，除端粒长度外，所有 BA 都与死亡率风险相关，与 CA 无关。最大的影响见于甲基化年龄估算值（GrimAge）和脆弱指数（FI）。在联合模型中，两个甲基化年龄估算值（Horvath 和 GrimAge）和 FI 仍然具有预测性，表明它们在预测死亡率方面具有互补性。
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