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

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.
Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Role:
Author


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Funder identifier:
10.13039/501100012166
Grant:
2023YFC3605400
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Funder identifier:
https://ror.org/01h0zpd94
Grant:
82472055


Publisher:
Nature Research
Journal:
npj Digital Medicine More from this journal
Volume:
9
Issue:
1
Article number:
278
Publication date:
2026-02-25
Acceptance date:
2026-02-14
DOI:
EISSN:
2398-6352
ISSN:
2398-6352


Language:
English
Keywords:
Pubs id:
2382380
Local pid:
pubs:2382380
Source identifiers:
3913026
Deposit date:
2026-04-02
ARK identifier:
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