Nature aging最新文献

{"title":"A phase-of-care approach to improve geriatric fracture care.","authors":"Andrew Nguyen, Philip M Lee, Edward K Rodriguez, Lewis Lipsitz, Karen Chahal, Ara Nazarian","doi":"10.1038/s43587-025-00974-3","DOIUrl":"https://doi.org/10.1038/s43587-025-00974-3","url":null,"abstract":"","PeriodicalId":94150,"journal":{"name":"Nature aging","volume":" ","pages":""},"PeriodicalIF":19.4,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145082871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Systems Age: a single blood methylation test to quantify aging heterogeneity across 11 physiological systems","authors":"Raghav Sehgal, Yaroslav Markov, Chenxi Qin, Margarita Meer, Courtney Hadley, Aladdin H. Shadyab, Ramon Casanova, JoAnn E. Manson, Parveen Bhatti, Ann Z. Moore, Eileen M. Crimmins, Sara Hagg, Themistocles L. Assimes, Eric A. Whitsel, Albert T. Higgins-Chen, Morgan Levine","doi":"10.1038/s43587-025-00958-3","DOIUrl":"10.1038/s43587-025-00958-3","url":null,"abstract":"Aging occurs at different rates across individuals and physiological systems, but most epigenetic clocks provide a single age estimate, overlooking within-person variation. Here we developed systems-based DNA methylation clocks that measure aging in 11 distinct physiological systems—Heart, Lung, Kidney, Liver, Brain, Immune, Inflammatory, Blood, Musculoskeletal, Hormone and Metabolic—using data from a single blood draw. By integrating supervised and unsupervised machine learning with clinical biomarkers, functional assessments and mortality risk, we derived system-specific scores that outperformed existing global clocks in predicting relevant diseases and aging phenotypes. We also created a composite Systems Age score to capture overall multisystem aging. Clustering individuals based on these scores revealed distinct biological aging subtypes, each associated with unique patterns of health decline and disease risk. This framework enables a more granular and clinically relevant assessment of biological aging and may support personalized approaches to monitor and target system-specific aging processes. Sehgal et al. report Systems Age as a framework to capture within-person heterogeneity in aging using a single blood-based epigenetic assay that measures aging across 11 body systems and identifies aging subtypes, enabling personalized prediction of disease risk and tailoring of longevity interventions.","PeriodicalId":94150,"journal":{"name":"Nature aging","volume":"5 9","pages":"1880-1896"},"PeriodicalIF":19.4,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145071481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A blood DNA methylation test reveals how quickly each organ system is aging","authors":"","doi":"10.1038/s43587-025-00959-2","DOIUrl":"10.1038/s43587-025-00959-2","url":null,"abstract":"We developed a single blood-based methylation test that estimates biological aging across 11 physiological systems. This multisystem measure predicts mortality and health outcomes more precisely than existing epigenetic clocks, and reveals distinct aging patterns that could guide personalized gerotherapeutic and geroprotective interventions.","PeriodicalId":94150,"journal":{"name":"Nature aging","volume":"5 9","pages":"1665-1666"},"PeriodicalIF":19.4,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145071401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Jeremy D. Walston (1961-2025).","authors":"Peter M Abadir, Karen Bandeen-Roche, Cynthia Boyd","doi":"10.1038/s43587-025-00970-7","DOIUrl":"https://doi.org/10.1038/s43587-025-00970-7","url":null,"abstract":"","PeriodicalId":94150,"journal":{"name":"Nature aging","volume":" ","pages":""},"PeriodicalIF":19.4,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145056630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Are we getting closer to understanding why we age?","authors":"Felipe Sierra","doi":"10.1038/s43587-025-00969-0","DOIUrl":"https://doi.org/10.1038/s43587-025-00969-0","url":null,"abstract":"","PeriodicalId":94150,"journal":{"name":"Nature aging","volume":" ","pages":""},"PeriodicalIF":19.4,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145042728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Population aging in Japan offers a warning and a template for action.","authors":"Sonu Bhaskar","doi":"10.1038/s43587-025-00967-2","DOIUrl":"https://doi.org/10.1038/s43587-025-00967-2","url":null,"abstract":"","PeriodicalId":94150,"journal":{"name":"Nature aging","volume":" ","pages":""},"PeriodicalIF":19.4,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145035076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Senescent-like border-associated macrophages regulate cognitive aging via migrasome-mediated induction of paracrine senescence in microglia.","authors":"Mengyan Hu, Xinmei Kang, Zhiruo Liu, Shisi Wang, Sanxin Liu, Chunyi Li, Danli Lu, Qin Qin, Yuxin Liu, Haotong Yi, Liling Yuan, Quentin Liu, Zhengqi Lu, Wei Cai","doi":"10.1038/s43587-025-00956-5","DOIUrl":"10.1038/s43587-025-00956-5","url":null,"abstract":"<p><p>Aging is a major risk factor for various neurological disorders, including Alzheimer's disease, and is associated with the accumulation of senescent cells, which can themselves propagate the senescence process through paracrine signaling. Migrasomes are organelles that form during cellular migration, detach from parent cells and mediate intercellular communication. Here we demonstrate that border-associated macrophages (BAMs) acquire senescence-associated properties during early brain aging, possibly due to prolonged exposure to amyloid beta. Senescent-like BAMs show elevated production of migrasomes, which convey senescence-associated signals including the apoptosis inhibitor of macrophage to neighboring cells. We show that microglia are prominent recipients of senescent-like BAM-derived migrasomes, and that through activation of CD16 in recipient cells, the apoptosis inhibitor of macrophage inhibits apoptosis and promotes senescence induction. Blocking migrasome induction in senescent-like BAMs through treatment with Tspan4-targeting siRNA-encapsulated liposomes ameliorates cognitive deficits in aged mice. Our findings suggest that migrasomes are potent vehicles of senescence-regulatory signals and represent a promising target for senomorphic therapy.</p>","PeriodicalId":94150,"journal":{"name":"Nature aging","volume":" ","pages":""},"PeriodicalIF":19.4,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145035099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Plasma proteomic associations with Alzheimer's disease endophenotypes.","authors":"Shiva Afshar, Eric B Dammer, Shijia Bian, David A Bennett, Richard Mohs, Doug Beauregard, John Dwyer, Chadwick M Hales, Felicia C Goldstein, Monica W Parker, Antoine R Trammell, Caroline M Watson, Todd E Golde, Nicholas T Seyfried, Blaine R Roberts, Cecelia M Manzanares, James J Lah, Allan I Levey, Erik C B Johnson","doi":"10.1038/s43587-025-00965-4","DOIUrl":"https://doi.org/10.1038/s43587-025-00965-4","url":null,"abstract":"<p><p>Clinical Alzheimer's disease is currently characterized by cerebral β-amyloidosis associated with cognitive impairment. However, most cases of Alzheimer's disease are associated with multiple neuropathologies at autopsy. The peripheral protein changes associated with these disease endophenotypes are poorly understood. In this study, we analyzed the plasma proteomes of individuals from four cohorts (n = 2,139 participants) to identify proteins and pathways associated with cerebral β-amyloidosis and other neuropathologies, including tau, Lewy bodies, TDP43, cerebral amyloid angiopathy, atherosclerosis, arteriolosclerosis and infarcts as well as cognitive function. Analyses in a cohort with paired brain data showed that known neuropathologies could account for only half of proteins associated with cognitive function and that many plasma proteins associated with these neuropathologies are not strongly correlated to levels in brain, suggesting a potential contribution of peripheral factors to the development of Alzheimer's disease endophenotypes. Targeting pathways represented by these peripheral proteins may modify Alzheimer's disease risk or disease progression.</p>","PeriodicalId":94150,"journal":{"name":"Nature aging","volume":" ","pages":""},"PeriodicalIF":19.4,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145034995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mitochondria-associated condensates maintain mitochondrial homeostasis and promote lifespan.","authors":"Yan Bai, Tengfei Ma, Shan Zhao, Shalan Li, Xin Wang, Jingyang Li, Wenhao Sun, Yang Yang, Fenglian Liu, Qian Shan, Zizhen Qin, Nan Liu, Jie Zhang, Fei Tian, Mei Duan, Shunkai Chen, Fan Lai, Qingfeng Chen, Xuna Wu, Chonglin Yang","doi":"10.1038/s43587-025-00942-x","DOIUrl":"10.1038/s43587-025-00942-x","url":null,"abstract":"<p><p>Membraneless organelles assembled by liquid-liquid phase separation interact with diverse membranous organelles to regulate distinct cellular processes. It remains unknown how membraneless organelles are engaged in mitochondrial homeostasis. Here we demonstrate that mitochondria-associated translation organelles (MATOs) mediate local synthesis of proteins required for structural and functional maintenance of mitochondria. In Caenorhabditis elegans, the RNA-binding protein LARP-1 (La-related protein 1) orchestrates coalescence of translation machinery and multiple RNA-binding proteins via liquid-liquid phase separation into MATOs that associate with mitochondria in a translocase of the outer membrane complex-dependent manner. LARP-1 deficiency markedly reduces mitochondrial protein levels, impairing cristae organization and ATP production. Specifically, we show that the membrane-shaping MICOS subunit IMMT-1(MIC60) and the ATP synthase β subunit ATP-2, both being important for cristae organization, are synthesized in LARP-1 MATOs. During aging and starvation, LARP-1 MATOs dissociate from mitochondria; however, mitochondrion-persistent LARP-1 MATOs protect mitochondrial health and greatly extend lifespan. These findings suggest an important mitochondrion-regulating mechanism in aging and stress.</p>","PeriodicalId":94150,"journal":{"name":"Nature aging","volume":" ","pages":""},"PeriodicalIF":19.4,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145034982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The X-Age Project to construct a Chinese aging clock","authors":"Jiaming Li,&nbsp;Mengmeng Jiang,&nbsp;Qiaoran Wang,&nbsp;Zikai Zheng,&nbsp;Jianghua Shen,&nbsp;Jingyi Li,&nbsp;Muzhao Xiong,&nbsp;Yandong Zheng,&nbsp;Xiaoyong Lu,&nbsp;Yusheng Cai,&nbsp;Yanling Fan,&nbsp;Lingling Geng,&nbsp;Qianzhao Ji,&nbsp;Qianqian Peng,&nbsp;Shuhui Sun,&nbsp;Yuanyuan Wang,&nbsp;Zijuan Xin,&nbsp;Kaowen Yan,&nbsp;Yuanhan Yang,&nbsp;Jun Yu,&nbsp;Haoteng Yan,&nbsp;Ding Ai,&nbsp;Yongping Bai,&nbsp;Yan Bi,&nbsp;Xiu-Wu Bian,&nbsp;Pengcheng Bu,&nbsp;Jian-Ping Cai,&nbsp;Chun-Mei Cao,&nbsp;Feng Cao,&nbsp;Zhongwei Cao,&nbsp;Renjie Chai,&nbsp;Piu Chan,&nbsp;Chang Chen,&nbsp;Cheng-Shui Chen,&nbsp;Chunying Chen,&nbsp;Di Chen,&nbsp;Hou-Zao Chen,&nbsp;Lin Chen,&nbsp;Quan Chen,&nbsp;Xiao Chen,&nbsp;Xiaochun Chen,&nbsp;Yu Chen,&nbsp;Zi-Jiang Chen,&nbsp;Weimin Ci,&nbsp;Zhe Dai,&nbsp;Qiurong Ding,&nbsp;Birong Dong,&nbsp;Jiahong Dong,&nbsp;Jian-Gao Fan,&nbsp;Shiqing Feng,&nbsp;Xin Feng,&nbsp;Yun Feng,&nbsp;Xiaobing Fu,&nbsp;Xiaolong Fu,&nbsp;Feng Gao,&nbsp;Jiangang Gao,&nbsp;Qiang Gao,&nbsp;Shaorong Gao,&nbsp;Yonghao Gu,&nbsp;Youfei Guan,&nbsp;Feifan Guo,&nbsp;Jing-Dong J. Han,&nbsp;Haiping Hao,&nbsp;Jihui Hao,&nbsp;Fuchu He,&nbsp;Jinhan He,&nbsp;Ming He,&nbsp;Mingguang He,&nbsp;Qiyang He,&nbsp;Zhiying He,&nbsp;Zuhong He,&nbsp;Huashan Hong,&nbsp;Jiaxu Hong,&nbsp;Shengping Hou,&nbsp;Cheng Hu,&nbsp;Ping Hu,&nbsp;Zhibin Hu,&nbsp;Canhua Huang,&nbsp;Jun Huang,&nbsp;Kai Huang,&nbsp;Pengyu Huang,&nbsp;Xunming Ji,&nbsp;Yong Ji,&nbsp;Shunji Jia,&nbsp;Hong Jiang,&nbsp;Wenjian Jiang,&nbsp;Lingjing Jin,&nbsp;Zi-Bing Jin,&nbsp;Shenghong Ju,&nbsp;Zhenyu Ju,&nbsp;Qing-Peng Kong,&nbsp;Wei Kong,&nbsp;Wei-Jia Kong,&nbsp;Xiangqing Kong,&nbsp;Guanghua Lei,&nbsp;Geng-Lin Li,&nbsp;Ji Li,&nbsp;Jian Li,&nbsp;Mengfeng Li,&nbsp;Rong Li,&nbsp;Wei Li,&nbsp;Wei Li,&nbsp;Xiao-Jun Li,&nbsp;Xin Li,&nbsp;Qingfeng Liang,&nbsp;Zhen Liang,&nbsp;Haotian Lin,&nbsp;Baohua Liu,&nbsp;Cai-Yue Liu,&nbsp;Changsheng Liu,&nbsp;Feng Liu,&nbsp;Jianfeng Liu,&nbsp;Jun-Ping Liu,&nbsp;Ke Liu,&nbsp;Lin Liu,&nbsp;Pingsheng Liu,&nbsp;Qiang Liu,&nbsp;Qiang Liu,&nbsp;Tiemin Liu,&nbsp;Wenwen Liu,&nbsp;Xingguo Liu,&nbsp;Yajun Liu,&nbsp;Yong Liu,&nbsp;Youhua Liu,&nbsp;Youshuo Liu,&nbsp;Zhili Liu,&nbsp;Xiao Long,&nbsp;Yao Lu,&nbsp;Jian Luo,&nbsp;Xianghang Luo,&nbsp;Chunhong Ma,&nbsp;Shuai Ma,&nbsp;Xinran Ma,&nbsp;Jianhua Mao,&nbsp;Zhiyong Mao,&nbsp;Shyh-Chang Ng,&nbsp;Guangjun Nie,&nbsp;Yuyu Niu,&nbsp;Yaojin Peng,&nbsp;Jun Pu,&nbsp;Jieyu Qi,&nbsp;Li Qiang,&nbsp;Jie Qiao,&nbsp;Yingying Qin,&nbsp;Aijuan Qu,&nbsp;Jing Qu,&nbsp;Jie Ren,&nbsp;Ruibao Ren,&nbsp;Xiong Z. Ruan,&nbsp;Anbing Shi,&nbsp;Haibo Shi,&nbsp;Jie Shi,&nbsp;Kwok-Fai So,&nbsp;Moshi Song,&nbsp;Weihong Song,&nbsp;Zhou Songyang,&nbsp;Jiacan Su,&nbsp;Aijun Sun,&nbsp;Liang Sun,&nbsp;Qiang Sun,&nbsp;Yi Eve Sun,&nbsp;Yu Sun,&nbsp;Peifu Tang,&nbsp;Qi-Qun Tang,&nbsp;Yi Tang,&nbsp;Jun Tao,&nbsp;Ling Tao,&nbsp;Mei Tian,&nbsp;Xiao-Li Tian,&nbsp;Ye Tian,&nbsp;Xiaolin Tong,&nbsp;Cong-Yi Wang,&nbsp;Haibo Wang,&nbsp;Hongmei Wang,&nbsp;Huating Wang,&nbsp;Jianan Wang,&nbsp;Jianwei Wang,&nbsp;Jianwei Wang,&nbsp;Jiqiu Wang,&nbsp;Liheng Wang,&nbsp;Lin Wang,&nbsp;Miao Wang,&nbsp;Qiang Wang,&nbsp;Si Wang,&nbsp;Sijia Wang,&nbsp;Songlin Wang,&nbsp;Wengong Wang,&nbsp;Xiaoming Wang,&nbsp;Xiaoning Wang,&nbsp;Yan Wang,&nbsp;Yan-Jiang Wang,&nbsp;Yuan Wang,&nbsp;Yunfang Wang,&nbsp;Zhenning Wang,&nbsp;Xiawei Wei,&nbsp;Jianping Weng,&nbsp;Haitao Wu,&nbsp;Jihong Wu,&nbsp;Xiaohuan Xia,&nbsp;Yang Xia,&nbsp;Andy Peng Xiang,&nbsp;Guozhi Xiao,&nbsp;Junjie Xiao,&nbsp;Yichuan Xiao,&nbsp;Zhi-Xiong Jim Xiao,&nbsp;Zhengwei Xie,&nbsp;Wei Xiong,&nbsp;Aimin Xu,&nbsp;Hua Xu,&nbsp;Lingyan Xu,&nbsp;Ming Xu,&nbsp;Liying Yan,&nbsp;Jiayin Yang,&nbsp;Jichun Yang,&nbsp;Liu Yang,&nbsp;Yun-Gui Yang,&nbsp;Ze Yang,&nbsp;Zhenglin Yang,&nbsp;Hongjie Yao,&nbsp;Jing Ye,&nbsp;Chengqi Yi,&nbsp;Fan Yi,&nbsp;Honghua Yu,&nbsp;Yang Yu,&nbsp;Zhengrong Yu,&nbsp;Ti-Fei Yuan,&nbsp;Jirong Yue,&nbsp;Rui Yue,&nbsp;Chen Zhang,&nbsp;Chunxiang Zhang,&nbsp;Cuntai Zhang,&nbsp;Feng Zhang,&nbsp;Hongbo Zhang,&nbsp;Hongjia Zhang,&nbsp;Huijie Zhang,&nbsp;Jie Zhang,&nbsp;Jingjing Zhang,&nbsp;Licheng Zhang,&nbsp;Lingqiang Zhang,&nbsp;Luoying Zhang,&nbsp;Qingjiong Zhang,&nbsp;Wei Zhang,&nbsp;Weiping J. Zhang,&nbsp;Xin Zhang,&nbsp;Xuan Zhang,&nbsp;Yong Zhang,&nbsp;Yun-Wu Zhang,&nbsp;Zhanjun Zhang,&nbsp;Zhuohua Zhang,&nbsp;Bing Zhao,&nbsp;Guoguang Zhao,&nbsp;Jiajun Zhao,&nbsp;Meng Zhao,&nbsp;Tongbiao Zhao,&nbsp;Jialin C. Zheng,&nbsp;Junke Zheng,&nbsp;Zhuozhao Zheng,&nbsp;Huixia Zhou,&nbsp;Lili Zhou,&nbsp;Xiangtian Zhou,&nbsp;Yongsheng Zhou,&nbsp;Zhongjun Zhou,&nbsp;Lan Zhu,&nbsp;Yizhun Zhu,&nbsp;Zhiming Zhu,&nbsp;Wenjuan Zhuang,&nbsp;Weiguo Zou,&nbsp;Weiqi Zhang,&nbsp;Gang Pei,&nbsp;Guang-Hui Liu","doi":"10.1038/s43587-025-00935-w","DOIUrl":"10.1038/s43587-025-00935-w","url":null,"abstract":"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. In this Perspective, members of the Aging Biomarker Consortium outline the X-Age Project, an Aging Biomarker Consortium plan for building standardized aging clocks in China. The authors discuss the project roadmap and its aims of decoding aging heterogeneity, detecting accelerated aging early and evaluating geroprotective interventions.","PeriodicalId":94150,"journal":{"name":"Nature aging","volume":"5 9","pages":"1669-1685"},"PeriodicalIF":19.4,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145031569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}