表观遗传学
衰老
DNA甲基化
生物
遗传学
细胞生物学
DNA损伤
甲基化
细胞衰老
DNA
后生
体外
计算生物学
细胞
疾病
生物信息学
表型
细胞模型
电池类型
癌症研究
生物标志物
亚硫酸氢盐测序
细胞老化
作者
Jessica Kasamoto,John Gonzalez,Yaroslav Markov,Raghav Sehgal,Edwin Lee,Varun B. Dwaraka,Ryan Smith,Albert T Higgins-Chen
出处
期刊:Aging Cell
[Wiley]
日期:2026-02-26
卷期号:25 (3): e70430-e70430
摘要
Epigenetic clocks are commonly used aging biomarkers based on DNA methylation that predict long-term morbidity and mortality risk. Increased cellular senescence with age is also posited to contribute to age-related disease and mortality. However, prior studies have found that existing epigenetic clocks show inconsistent associations with cellular senescence and no reductions after senolytic treatment. We hypothesize this reflects that senescence-related CpGs are a small proportion of age-related CpGs, and that an epigenetic clock focused on a core senescence signal conserved across different cell types and different senescence inducers would be a better tool for monitoring senescence and senolytic treatment compared to traditional epigenetic clocks. In our study, we find that senescence, age and mortality risk intersect at a small subset of the DNA methylome (9363 CpGs out of 396,333 analyzed; 2.4%). Utilizing these CpGs, we generated three different epigenetic clocks trained to predict in vitro senescence, age, and mortality, respectively. Surprisingly, all three of these predictors stayed the same or even accelerated after senolytic treatment in both in vivo and in vitro data. Our findings not only call into question whether cellular senescence can be captured by DNA methylation but also challenge the assumption that aging biomarkers decrease after geroscience interventions.
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