Abstract
Aging biomarkers are a combination of biological parameters to (i) assess age-related changes, (ii) track the physiological aging process, and (iii) predict the transition into a pathological status. Although a broad spectrum of aging biomarkers has been developed, their potential uses and limitations remain poorly characterized. An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research: How old are we? Why do we get old? And how can we age slower? This review aims to address this need. Here, we summarize our current knowledge of biomarkers developed for cellular, organ, and organismal levels of aging, comprising six pillars: physiological characteristics, medical imaging, histological features, cellular alterations, molecular changes, and secretory factors. To fulfill all these requisites, we propose that aging biomarkers should qualify for being specific, systemic, and clinically relevant.
Supporting Information
The supporting information is available online at 10.1007/s11427-023-2305-0. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.
Keywords: aging, senescence, biomarker, clock
Electronic Supplementary Material
Acknowledgements
Due to space constraints, it is unavoidable that certain important works on aging biomarkers are not cited, and we offer our sincere apologies. We would like to express our sincerest gratitude to the members of the expert panel of the Major Program on Organ Aging and Degeneration. We thank all the members of the Aging Biomarker Consortium for their valuable input and suggestions. This work was supported by the National Natural Science Foundation of China (31730036, 31871380, 31871382, 31930055, 31930058, 32000500, 32022034, 32030033, 32070730, 32130046, 3217050247, 32150005, 32200595, 32222024, 81730019, 81730022, 81830014, 81921006, 81925005, 81970426, 81971301, 81971312, 82030041, 82061160495, 82070805, 82071595, 82090020, 82100841, 82120108009, 82122024, 82125002, 82125011, 82125012, 82130045, 82171284, 82173061, 82173398, 82225007, 82225015, 82225017, 82225018, 82230047, 82230088, 82271600, 91949106, 91949201, 92049116, 92049302, 92049304, 92149303, 92149306, 92157202, 92168201, 92169102, 92249301, 92268201), the National Key Research and Development Program of China (2018YFA0800700, 2018YFC2000100, 2018YFC2000102, 2018YFC2002003, 2019YFA0110900, 2019YFA0801703, 2019YFA0801903, 2019YFA0802202, 2019YFA0904800, 2020YFA0113400, 2020YFA0803401, 2020YFA0804000, 2020YFC2002900, 2020YFC2008000, 2020YFE0202200, 2021YFA0804900, 2021YFA1100103, 2021YFA1100900, 2021YFE0114200, 2021ZD0202400, 2022YFA0806001, 2022YFA0806002, 2022YFA0806600, 2022YFA1103200, 2022YFA1103601, 2022YFA1103701, 2022YFA1103800, 2022YFA1103801, 2022YFA1104100, 2022YFA1104904, 2022YFA1303000, 2022YFC2009900, 2022YFC2502401, 2022YFC3602400, 2022YFE0118000, 2022ZD0213200), the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA16030302, XDB39000000, XDB39030600), the Youth Innovation Promotion Association of Chinese Academy of Sciences (2020085, 2021080), CAS Project for Young Scientists in Basic Research (YSBR-076), the Program of the Beijing Natural Science Foundation (JQ20031), Clinical Research Operating Fund of Central High level hospitals (2022-PUMCH-E-001), CAMS Innovation Fund for Medical Sciences (CIFMS) (2022-I2M-1-004), Talent Program of the Chinese Academy of Medical Science (2022-RC310-10), Research Funds from Health@InnoHK Program launched by Innovation Technology Commission of the Hong Kong Special Administrative Region, Guangdong Basic and Applied Basic Research Foundation (2020B1515020044), Guangzhou Planned Project of Science and Technology (202002020039), the Major Technology Innovation of Hubei Province (2019ACA141), the Science and Technology Major Project of Hunan Provincial Science and Technology Department (2021SK1010), Shanghai Municipal Science and Technology Major Project (2017SHZDZX01), the Natural Science Foundation of Sichuan Province (2023NSFSC0003), Yunnan Fundamental Research Project (202201AS070080) and the State Key Laboratory of Membrane Biology.
Footnotes
Compliance and ethics
The author(s) declare that they have no conflict of interest.
Contributed equally to this work
Contributor Information
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Zhongwei Cao, Email: zhongweicao@scu.edu.cn.
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