生命银行
生物
计算生物学
蛋白质组学
全基因组关联研究
生物信息学
疾病
免疫系统
基因组学
基因
遗传学
推论
遗传建筑学
基因检测
健康衰老
蛋白质组
遗传变异
遗传变异
基因组
进化生物学
生物途径
数量性状位点
人类遗传学
因果推理
作者
Ren‐Jie Zhu,Yan Guo,Jiahao Wang,Ke Yu,Wei Shi,Wenliang Pan,Xiaozhong Yu,Wei Chen,Shan‐Shan Dong,Tie‐Lin Yang
标识
DOI:10.1038/s41467-025-67223-4
摘要
Organ-specific plasma protein signatures identified via proteomics profiling could be used to quantitatively track organ aging. However, the genetic determinants and molecular mechanisms underlying the organ-specific aging process remain poorly characterized. Here we integrated large-scale plasma proteomic and genomic data from 51,936 UK Biobank participants to uncover the genetic architectures underlying aging across 13 organs. We identified 119 genetic loci associated with organ aging, including 27 shared across multiple organs, and prioritized 554 risk genes involved in organ-relevant biological pathways, such as T cell–mediated immunity in immune aging. Causal inference analyses indicated that accelerated heart and muscle aging increase the risk of heart failure, whereas kidney aging contributes to hypertension. Moreover, smoking initiation was positively linked to the aging of the lung, intestine, kidney, and stomach. These findings establish a genetic foundation for understanding organ-specific aging and provide insights for promoting healthy longevity. This study leverages plasma proteomics from over 50,000 individuals to build organ-specific aging models and uncover underlying genetic mechanisms. It also investigates causal links between organ aging, diseases, and lifestyle, providing insights for promoting healthy longevity.
科研通智能强力驱动
Strongly Powered by AbleSci AI