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

  • Peng Ren
  • , Wenjing Su
  • , Jia You
  • , Ying Liang
  • , Weikang Gong
  • , Wei Zhang
  • , Zairen Zhou
  • , Fei Dai
  • , Xiaohe Hou
  • , Wei Shi Liu
  • , Jianfeng Feng
  • , He Wang*
  • , Jin Tai Yu*
  • , Wei Cheng*
  • *Corresponding author for this work
  • Fudan University
  • University of Oxford
  • University of Warwick
  • Tongji University
  • Zhejiang Normal University

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number278
Journalnpj Digital Medicine
Volume9
Issue number1
DOIs
StatePublished - Dec 2026
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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