Patterns of Organ‐Specific Proteomic Aging in Relation to Lifestyle, Diseases, and Mortality
Aging occurs in a heterogeneous manner across different organs, leading to varying risks of chronic diseases and mortality. Biological age offers a more comprehensive reflection of the aging process and is a stronger predictor of disease risk and lifespan. Recent advances in plasma proteomics have enabled the development of organ-specific aging clocks, revealing the distinct aging trajectories and their clinical implications. We used protein-based aging estimators for 11 organs, applying them to plasma data using elastic net regularization. A comprehensive analysis of associations was conducted with 86 lifestyle and environmental factors, 657 diseases through phenome-wide association studies (PheWAS), and all-cause mortality. Our findings revealed that organ aging is influenced by lifestyle factors and baseline health conditions, highlighting its dynamic and modifiable nature. Additionally, accelerated organ aging is associated with a higher incidence of disease and an increased risk of all-cause mortality, particularly when it occurs earlier in life. Our large-scale lifestyle atlas and PheWAS offer actionable insights into the modifiable drivers of organ aging, advancing strategies for disease prevention and longevity.
Authors
- Qida He (ORCID: https://orcid.org/0000-0003-0796-7620)
- Michael Snyder (ORCID: https://orcid.org/0000-0003-0784-7987)
- Linyan Li (ORCID: https://orcid.org/0000-0001-5736-2115)
- Mengtong Sun (ORCID: https://orcid.org/0000-0002-6373-0997)
- Jing‐Long Huang (ORCID: https://orcid.org/0000-0002-3530-7753)
- Qi Wang (ORCID: https://orcid.org/0000-0003-3645-5739)
Institutions
- City University of Hong Kong (HK)
- Hong Kong Jockey Club (HK)
- Stanford Medicine (US)
- Stanford University (US)
Publication Details
- Journal
- Aging Cell
- Published
- 2025-10-08
- DOI
- https://doi.org/10.1111/acel.70251
- Citations
- 2
- Primary Topic
- Genetics, Aging, and Longevity in Model Organisms
- Type
- article
- Field-Weighted Citation Impact
- 1.91
Funders
- City University of Hong Kong