Imaging-based organ-specific aging clock predicts human diseases and mortality

Organ-specific aging clocks hold great potential in reflecting organ health. In vivo imaging is inherently organ-specific and delineates structural and functional characteristics more objectively. However, there is no systematic evaluation of imaging-based aging clocks. We utilized 1777 imaging-derived phenotypes (IDPs) from 11,000 healthy participants and assessed the organ-specific biological age of seven organs. The organ-specific age gap was primarily associated with incident diseases and mortality related to corresponding organs. The top-contributing IDPs to organ-specific biological age emerged as biomarkers for incident disease predictions, achieving an area under the curve (AUC) greater than 0.8 for dementia (AUC = 0.82). Subsequent proteomic analysis revealed 966 shared and 507 organ-specific molecular signatures for the aging of different organs. Finally, we identified key modifiable factors and 14 drug targets for organ-specific aging. The imaging-based aging clocks demonstrate organ-specificity at both macro and micro scales, which could promote personalized intervention and treatment of organ aging.

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Publication Details

Journal
npj Digital Medicine
Published
2026-02-25
DOI
https://doi.org/10.1038/s41746-026-02488-7
Primary Topic
Circadian rhythm and melatonin
Type
article
Field-Weighted Citation Impact
0.00

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article

Imaging-based organ-specific aging clock predicts human diseases and mortality

Weishi Liu, Yang Yu, Peng Ren, Jia You et al.
npj Digital Medicine
Circadian rhythm and melatonin
article

Imaging-based organ-specific aging clock predicts human diseases and mortality

Weishi Liu, Yang Yu, Peng Ren, Jia You, Xiaohe Hou, Wei Zhang, He Wang, Weikang Gong, Ying Liang, Wei Cheng, Zairen Zhou, Wenjing Su, Fei Dai
article en

Abstract

Organ-specific aging clocks hold great potential in reflecting organ health. In vivo imaging is inherently organ-specific and delineates structural and functional characteristics more objectively. However, there is no systematic evaluation of imaging-based aging clocks. We utilized 1777 imaging-derived phenotypes (IDPs) from 11,000 healthy participants and assessed the organ-specific biological age of seven organs. The organ-specific age gap was primarily associated with incident diseases and mortality related to corresponding organs. The top-contributing IDPs to organ-specific biological age emerged as biomarkers for incident disease predictions, achieving an area under the curve (AUC) greater than 0.8 for dementia (AUC = 0.82). Subsequent proteomic analysis revealed 966 shared and 507 organ-specific molecular signatures for the aging of different organs. Finally, we identified key modifiable factors and 14 drug targets for organ-specific aging. The imaging-based aging clocks demonstrate organ-specificity at both macro and micro scales, which could promote personalized intervention and treatment of organ aging.

npj Digital Medicine
Tongji University (CN), Zhejiang Normal University (CN), Fudan University (CN), University of Warwick (GB), University of Oxford (GB), Wellcome Centre for Integrative Neuroimaging (GB), Huashan Hospital (CN), Shanghai Center for Brain Science and Brain-Inspired Technology (CN)
National Natural Science Foundation of China, Fudan University, Science and Technology Commission of Shanghai Municipality, Huashan Hospital, National Science and Technology Major Project
Good health and well-being
Openalex Percentile: Top 39%
Circadian rhythm and melatonin
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