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

Ren P, Su W, You J, Liang Y, Gong W, Zhang W, Zhou Z, Dai F, Hou X, Liu WS, Feng J, Wang H, Yu JT, Cheng W.

NPJ digital medicine · 2026 · ▲ 1 citations

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.

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Provenance

Source
Europe PMC
DOI
10.1038/s41746-026-02488-7
Canonical
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Fetched
2026-07-01 MST

Cite this

APA
P, R., W, S., J, Y., Y, L., W, G., W, Z., Z, Z., F, D., X, H., WS, L., J, F., H, W., JT, Y., &amp; W., C. (2026). Imaging-based organ-specific aging clock predicts human diseases and mortality. <em>NPJ digital medicine</em>. https://doi.org/10.1038/s41746-026-02488-7
Vancouver
P R, W S, J Y, Y L, W G, W Z, et al. Imaging-based organ-specific aging clock predicts human diseases and mortality. NPJ digital medicine. 2026. doi:10.1038/s41746-026-02488-7.
BibTeX
@article{ren2026Imagin, title = {Imaging-based organ-specific aging clock predicts human diseases and mortality.}, author = {Ren P and Su W and You J and Liang Y and Gong W and Zhang W and Zhou Z and Dai F and Hou X and Liu WS and Feng J and Wang H and Yu JT and Cheng W.}, journal = {NPJ digital medicine}, year = {2026}, doi = {10.1038/s41746-026-02488-7}, }

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