Klopack Eric T, Seshadri Gokul, Arpawong Thalida Em, Cole Steve, Thyagarajan Bharat, Crimmins Eileen M
Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA 90089, USA.
Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA.
Aging (Albany NY). 2025 Jun 13;17(6):1521-1543. doi: 10.18632/aging.206272.
Increasingly, research suggests that aging is a coordinated multi-system decline in functioning that occurs at multiple biological levels. We developed and validated a transcriptomic (RNA-based) aging measure we call Transcriptomic Mortality-risk Age (TraMA) using RNA-seq data from the 2016 Health and Retirement Study using elastic net Cox regression analyses to predict 4-year mortality hazard. In a holdout test sample, TraMA was associated with earlier mortality, more chronic conditions, poorer cognitive functioning, and more limitations in activities of daily living. TraMA was also externally validated in the Long Life Family Study and several publicly available datasets. Results suggest that TraMA is a robust, portable RNAseq-based aging measure that is comparable, but independent from past biological aging measures (e.g., GrimAge). TraMA is likely to be of particular value to researchers interested in understanding the biological processes underlying health and aging, and for social, psychological, epidemiological, and demographic studies of health and aging.
越来越多的研究表明,衰老乃是一种在多个生物层面发生的、功能协调的多系统衰退。我们利用2016年健康与退休研究中的RNA测序数据,通过弹性网Cox回归分析来预测4年死亡风险,开发并验证了一种我们称之为转录组死亡风险年龄(TraMA)的基于转录组(RNA)的衰老指标。在一个保留测试样本中,TraMA与更早的死亡率、更多的慢性病、更差的认知功能以及日常生活活动中的更多限制相关。TraMA还在长寿家庭研究和几个公开可用的数据集中得到了外部验证。结果表明,TraMA是一种稳健的、基于RNA测序的可移植衰老指标,它与过去的生物衰老指标(如GrimAge)具有可比性,但相互独立。TraMA对于那些有兴趣了解健康与衰老背后生物学过程的研究人员,以及对于健康与衰老的社会、心理、流行病学和人口统计学研究而言,可能具有特别的价值。