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Updated: Feb 1, 2026
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The human pathome shows sex and tissue specific aging patterns.
Michael Ben Ezra1,2, Jonas Bach Garbrecht3, Nasya Rasmussen3
1Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenahgen, Denmark. mbenezra@sund.ku.dk.
Npj Aging
|January 30, 2026
Summary
Researchers analyzed 33 million histological samples to understand aging. They identified nintedanib as a potential intervention, showing it reduces senescence and extends lifespan in fruit flies.
Area of Science:
- Biogerontology
- Computational Pathology
- Digital Health
Background:
- Tissue-specific aging mechanisms in humans remain largely uncharacterized.
- Large-scale analysis of histological data can reveal aging patterns.
Purpose of the Study:
- To identify age- and mortality-associated features from histological sample descriptions.
- To discover potential interventions for human aging.
Main Methods:
- Utilized text narratives from 33 million histological samples.
- Applied unsupervised topic modeling to identify predictive terms for age and mortality.
- Cross-referenced identified terms in PubMed to find potential interventions.
Main Results:
- Developed The Human Pathome database, extracting thousands of aging-related features.
- Observed sexual dimorphism in aging onset and progression.
- Identified nintedanib as a potential aging intervention.
- Demonstrated nintedanib's efficacy in reducing cellular senescence markers, pro-fibrotic pathways, and extending lifespan in Drosophila melanogaster.
Conclusions:
- Population text datasets are valuable resources for discovering novel aging interventions.
- Nintedanib shows promise as a therapeutic agent for age-related conditions.
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