Distinct biological ages of organs and systems identified from a multi-omics study

Chao Nie(BGI Group (China)), Yan Li(BGI Group (China)), Rui Li(BGI Group (China)), Yizhen Yan(BGI Group (China)), Detao Zhang(BGI Group (China)), Tao Li(BGI Group (China)), Zhiming Li(BGI Group (China)), Yuzhe Sun(BGI Group (China)), Hefu Zhen(BGI Group (China)), Jiahong Ding(BGI Group (China)), Ziyun Wan(BGI Group (China)), Jianping Gong(Affiliated Hospital of Hebei University), Yanfang Shi(Affiliated Hospital of Hebei University), Zhibo Huang(BGI Group (China)), Yiran Wu(BGI Group (China)), Kaiye Cai(BGI Group (China)), Yang Zong(BGI Group (China)), Zhen Wang(BGI Group (China)), Rong Wang(BGI Group (China)), Min Jian(BGI Group (China)), Xin Jin(BGI Group (China)), Jian Wang(BGI Group (China)), Huanming Yang(BGI Group (China)), Jing‐Dong J. Han(Peking University), Xiuqing Zhang(BGI Group (China)), Claudio Franceschi(N. I. Lobachevsky State University of Nizhny Novgorod), Brian K. Kennedy(Agency for Science, Technology and Research), Xun Xu(BGI Group (China))
Cell Reports
March 1, 2022
Cited by 227Open Access
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Abstract

Biological age (BA) has been proposed to evaluate the aging status instead of chronological age (CA). Our study shows evidence that there might be multiple "clocks" within the whole-body system: systemic aging drivers/clocks overlaid with organ/tissue-specific counterparts. We utilize multi-omics data, including clinical tests, immune repertoire, targeted metabolomic molecules, gut microbiomes, physical fitness examinations, and facial skin examinations, to estimate the BA of different organs (e.g., liver, kidney) and systems (immune and metabolic system). The aging rates of organs/systems are diverse. People's aging patterns are different. We also demonstrate several applications of organs/systems BA in two independent datasets. Mortality predictions are compared among organs' BA in the dataset of the United States National Health and Nutrition Examination Survey. Polygenic risk score of BAs constructed in the Chinese Longitudinal Healthy Longevity Survey cohort can predict the possibility of becoming centenarian.


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