Li Jiaming, Jiang Mengmeng, Wang Qiaoran, Zheng Zikai, Shen Jianghua, Li Jingyi, Xiong Muzhao, Zheng Yandong, Lu Xiaoyong, Cai Yusheng, Fan Yanling, Geng Lingling, Ji Qianzhao, Peng Qianqian, Sun Shuhui, Wang Yuanyuan, Xin Zijuan, Yan Kaowen, Yang Yuanhan, Yu Jun, Yan Haoteng, Ai Ding, Bai Yongping, Bi Yan, Bian Xiu-Wu, Bu Pengcheng, Cai Jian-Ping, Cao Chun-Mei, Cao Feng, Cao Zhongwei, Chai Renjie, Chan Piu, Chen Chang, Chen Cheng-Shui, Chen Chunying, Chen Di, Chen Hou-Zao, Chen Lin, Chen Quan, Chen Xiao, Chen Xiaochun, Chen Yu, Chen Zi-Jiang, Ci Weimin, Dai Zhe, Ding Qiurong, Dong Birong, Dong Jiahong, Fan Jian-Gao, Feng Shiqing, Feng Xin, Feng Yun, Fu Xiaobing, Fu Xiaolong, Gao Feng, Gao Jiangang, Gao Qiang, Gao Shaorong, Gu Yonghao, Guan Youfei, Guo Feifan, Han Jing-Dong J, Hao Haiping, Hao Jihui, He Fuchu, He Jinhan, He Ming, He Mingguang, He Qiyang, He Zhiying, He Zuhong, Hong Huashan, Hong Jiaxu, Hou Shengping, Hu Cheng, Hu Ping, Hu Zhibin, Huang Canhua, Huang Jun, Huang Kai, Huang Pengyu, Ji Xunming, Ji Yong, Jia Shunji, Jiang Hong, Jiang Wenjian, Jin Lingjing, Jin Zi-Bing, Ju Shenghong, Ju Zhenyu, Kong Qing-Peng, Kong Wei, Kong Wei-Jia, Kong Xiangqing, Lei Guanghua, Li Geng-Lin, Li Ji, Li Jian, Li Mengfeng, Li Rong, Li Wei, Li Wei, Li Xiao-Jun, Li Xin, Liang Qingfeng, Liang Zhen, Lin Haotian, Liu Baohua, Liu Cai-Yue, Liu Changsheng, Liu Feng, Liu Jianfeng, Liu Jun-Ping, Liu Ke, Liu Lin, Liu Pingsheng, Liu Qiang, Liu Qiang, Liu Tiemin, Liu Wenwen, Liu Xingguo, Liu Yajun, Liu Yong, Liu Youhua, Liu Youshuo, Liu Zhili, Long Xiao, Lu Yao, Luo Jian, Luo Xianghang, Ma Chunhong, Ma Shuai, Ma Xinran, Mao Jianhua, Mao Zhiyong, Ng Shyh-Chang, Nie Guangjun, Niu Yuyu, Peng Yaojin, Pu Jun, Qi Jieyu, Qiang Li, Qiao Jie, Qin Yingying, Qu Aijuan, Qu Jing, Ren Jie, Ren Ruibao, Ruan Xiong Z, Shi Anbing, Shi Haibo, Shi Jie, So Kwok-Fai, Song Moshi, Song Weihong, Songyang Zhou, Su Jiacan, Sun Aijun, Sun Liang, Sun Qiang, Sun Yi Eve, Sun Yu, Tang Peifu, Tang Qi-Qun, Tang Yi, Tao Jun, Tao Ling, Tian Mei, Tian Xiao-Li, Tian Ye, Tong Xiaolin, Wang Cong-Yi, Wang Haibo, Wang Hongmei, Wang Huating, Wang Jianan, Wang Jianwei, Wang Jianwei, Wang Jiqiu, Wang Liheng, Wang Lin, Wang Miao, Wang Qiang, Wang Si, Wang Sijia, Wang Songlin, Wang Wengong, Wang Xiaoming, Wang Xiaoning, Wang Yan, Wang Yan-Jiang, Wang Yuan, Wang Yunfang, Wang Zhenning, Wei Xiawei, Weng Jianping, Wu Haitao, Wu Jihong, Xia Xiaohuan, Xia Yang, Xiang Andy Peng, Xiao Guozhi, Xiao Junjie, Xiao Yichuan, Xiao Zhi-Xiong Jim, Xie Zhengwei, Xiong Wei, Xu Aimin, Xu Hua, Xu Lingyan, Xu Ming, Yan Liying, Yang Jiayin, Yang Jichun, Yang Liu, Yang Yun-Gui, Yang Ze, Yang Zhenglin, Yao Hongjie, Ye Jing, Yi Chengqi, Yi Fan, Yu Honghua, Yu Yang, Yu Zhengrong, Yuan Ti-Fei, Yue Jirong, Yue Rui, Zhang Chen, Zhang Chunxiang, Zhang Cuntai, Zhang Feng, Zhang Hongbo, Zhang Hongjia, Zhang Huijie, Zhang Jie, Zhang Jingjing, Zhang Licheng, Zhang Lingqiang, Zhang Luoying, Zhang Qingjiong, Zhang Wei, Zhang Weiping J, Zhang Xin, Zhang Xuan, Zhang Yong, Zhang Yun-Wu, Zhang Zhanjun, Zhang Zhuohua, Zhao Bing, Zhao Guoguang, Zhao Jiajun, Zhao Meng, Zhao Tongbiao, Zheng Jialin C, Zheng Junke, Zheng Zhuozhao, Zhou Huixia, Zhou Lili, Zhou Xiangtian, Zhou Yongsheng, Zhou Zhongjun, Zhu Lan, Zhu Yizhun, Zhu Zhiming, Zhuang Wenjuan, Zou Weiguo, Zhang Weiqi, Pei Gang, Liu Guang-Hui
Aging Biomarker Consortium (ABC), Beijing, China.
China National Center for Bioinformation, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Nat Aging. 2025 Sep 9. doi: 10.1038/s43587-025-00935-w.
The global surge in the population of people 60 years and older, including that in China, challenges healthcare systems with rising age-related diseases. To address this demographic change, the Aging Biomarker Consortium (ABC) has launched the X-Age Project to develop a comprehensive aging evaluation system tailored to the Chinese population. Our goal is to identify robust biomarkers and construct composite aging clocks that capture biological age, defined as an individual's physiological and molecular state, across diverse Chinese cohorts. This Perspective outlines the core objectives, methodological framework and key deliverables of the X-Age Project, including cohort recruitment, standardized sample collection, multimodal data acquisition and clock model development. By integrating interdisciplinary expertise, we aim to provide a practical and scalable platform for understanding aging complexity and heterogeneity, early detection of accelerated aging and evaluation of aging interventions.
全球60岁及以上人口的激增，包括中国的这一群体，给医疗系统带来了与年龄相关疾病不断增加的挑战。为应对这一人口结构变化，衰老生物标志物联盟（ABC）启动了X-年龄项目，以开发一套针对中国人群量身定制的全面衰老评估系统。我们的目标是识别出强大的生物标志物，并构建综合衰老时钟，以捕捉不同中国队列中个体的生物学年龄，生物学年龄定义为个体的生理和分子状态。本观点概述了X-年龄项目的核心目标、方法框架和关键成果，包括队列招募、标准化样本采集、多模态数据获取和时钟模型开发。通过整合跨学科专业知识，我们旨在提供一个实用且可扩展的平台，用于理解衰老的复杂性和异质性、早期检测加速衰老以及评估衰老干预措施。
