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Multimodal clocks of human aging
Jiaming Li1, Beier Jiang2, Wei Zhang3
1Beijing Key Laboratory of Intelligent Governance and Application of Biological Big Data, China National Center for Bioinformation and Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
None:
Human aging is characterized by complex structural and functional decline, but quantifying its heterogeneity and assessing biological age remain challenges. We present the mCAS (multicentric Chinese aging standardized cohort) developed from 2,019 Chinese individuals aged 18-91 years. Integrating high-dimensional clinical, physiological, and molecular-level data, we constructed a three-tiered aging framework: the core capacity clock (CC-clock) to quantify clinical physiological decline, the multimodal clock (MM-clock) with extensive parameter coverage and enhanced predictive precision, and organ-associated aging clocks. Cross-layer analysis demonstrates that plasma protein clocks not only capture chronological age but also serve as efficient proxies for systemic physiological capacity. Leveraging this framework for discovery, we identified the age-dependent accumulation of coagulation factors as a driver of multi-organ senescence and systemic inflammatory activation. This study provides a foundational framework that bridges molecular signatures with functional decline, identifies new biomarkers for aging assessment, and reveals a novel translational driver of aging.
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