MRI-based multi-organ clocks for healthy aging and disease assessment

Biological aging clocks across organ systems and tissues have advanced understanding of human aging and disease. In this study, we expand this framework to develop seven magnetic resonance imaging-based multi-organ biological age gaps (MRIBAGs), including the brain, heart, liver, adipose tissue, spleen, kidney and pancreas. Using data from 313,645 individuals curated by the MULTI Consortium, we link the seven MRIBAGs to 2,923 plasma proteins, 327 metabolites and 6,477,810 common genetic variants. Genome-wide associations identify 53 MRIBAG-locus pairs (P < 5 × 10<sup>-8</sup>). Genetic correlation and Mendelian randomization analyses support organ-specific and cross-organ interconnection, including 24 non-MRI biological aging clocks and 525 disease endpoints. Through functional gene mapping and Bayesian co-localization multi-omics evidence, we prioritize nine druggable genes as targets for future anti-aging treatments. Furthermore, the seven MRIBAGs are linked to future risk of systemic disease endpoints (for example, diabetes mellitus) and all-cause mortality. Finally, participants with more youthful versus more aged brain profiles exhibited distinct cognitive decline trajectories over 240 weeks of treatment with the Alzheimer's disease drug solanezumab, although this heterogeneity cannot be fully attributed to the drug. In summary, we developed seven MRIBAGs that enhance the existing multi-organ biological aging framework, and we demonstrate their clinical potential to advance aging research.

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Publication Details

Journal
Nature Medicine
Published
2025-10-16
DOI
https://doi.org/10.1038/s41591-025-03999-8
Citations
6
Primary Topic
Diet and metabolism studies
Type
article
Field-Weighted Citation Impact
6.99
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article

MRI-based multi-organ clocks for healthy aging and disease assessment

Michael S. Rafii, Güray Erus, Andrew Zalesky, Paul S. S Aisen et al.
6 citations
Nature Medicine
Diet and metabolism studies
6.99
article

MRI-based multi-organ clocks for healthy aging and disease assessment

Michael S. Rafii, Güray Erus, Andrew Zalesky, Paul S. S Aisen, Christos A. Davatzikos, Daniel W. Belsky, Michael R. Duggan, Wenjia Bai, Hua Cao, Keenan A. Walker, Ye Tian, Junhao Wen, Zhiyuan Song, Dhivya Srinivasan, Luigi Ferrucci
article en
6 citations

Abstract

Biological aging clocks across organ systems and tissues have advanced understanding of human aging and disease. In this study, we expand this framework to develop seven magnetic resonance imaging-based multi-organ biological age gaps (MRIBAGs), including the brain, heart, liver, adipose tissue, spleen, kidney and pancreas. Using data from 313,645 individuals curated by the MULTI Consortium, we link the seven MRIBAGs to 2,923 plasma proteins, 327 metabolites and 6,477,810 common genetic variants. Genome-wide associations identify 53 MRIBAG-locus pairs (P < 5 × 10<sup>-8</sup>). Genetic correlation and Mendelian randomization analyses support organ-specific and cross-organ interconnection, including 24 non-MRI biological aging clocks and 525 disease endpoints. Through functional gene mapping and Bayesian co-localization multi-omics evidence, we prioritize nine druggable genes as targets for future anti-aging treatments. Furthermore, the seven MRIBAGs are linked to future risk of systemic disease endpoints (for example, diabetes mellitus) and all-cause mortality. Finally, participants with more youthful versus more aged brain profiles exhibited distinct cognitive decline trajectories over 240 weeks of treatment with the Alzheimer's disease drug solanezumab, although this heterogeneity cannot be fully attributed to the drug. In summary, we developed seven MRIBAGs that enhance the existing multi-organ biological aging framework, and we demonstrate their clinical potential to advance aging research.

Nature MedicineVol. 32(1)
University of Southern California (US), National Institutes of Health (US), The University of Melbourne (AU), Institute on Aging (US), National Institute on Aging (US), Center for Innovation (US), New York Genome Center (US), Imperial College London (GB), Columbia University (US), University of Pennsylvania (US)
Openalex Percentile: Top 3%
Diet and metabolism studies
6.99
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