表观遗传学
生物
DNA甲基化
口腔黏膜测试
生理学
遗传学
生物信息学
男科
基因
医学
基因表达
作者
Abner T. Apsley,Qiaofeng Ye,Avshalom Caspi,Christopher Chiaro,Laura Etzel,Waylon J. Hastings,Christine Heim,John Kozlosky,Jennie G. Noll,Hannah M. C. Schreier,Chad E. Shenk,Karen Sugden,Idan Shalev
摘要
Abstract Epigenetic clocks are a common group of tools used to measure biological aging—the progressive deterioration of cells, tissues, and organs. Epigenetic clocks have been trained almost exclusively using blood‐based tissues, but there is growing interest in estimating epigenetic age using less‐invasive oral‐based tissues (i.e., buccal or saliva) in both research and commercial settings. However, differentiated cell types across body tissues exhibit unique DNA methylation landscapes and age‐related alterations to the DNA methylome. Applying epigenetic clocks derived from blood‐based tissues to estimate epigenetic age of oral‐based tissues may introduce biases. We tested the within‐person comparability of common epigenetic clocks across five tissue types: buccal epithelial, saliva, dry blood spots, buffy coat (i.e., leukocytes), and peripheral blood mononuclear cells. We tested 284 distinct tissue samples from 83 individuals aged 9–70 years. Overall, there were significant within‐person differences in epigenetic clock estimates from oral‐based versus blood‐based tissues, with average differences of almost 30 years observed in some age clocks. In addition, most epigenetic clock estimates of blood‐based tissues exhibited low correlation with estimates from oral‐based tissues despite controlling for cellular proportions and other technical factors. Notably, the Skin and Blood clock exhibited the greatest concordance across all tissue types, indicating its unique ability to estimate chronological age in oral‐ and blood‐based tissues. Our findings indicate that application of blood‐derived epigenetic clocks in oral‐based tissues may not yield comparable estimates of epigenetic age, highlighting the need for careful consideration of tissue type when estimating epigenetic age.
科研通智能强力驱动
Strongly Powered by AbleSci AI