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Senescent cells and the incidence of age‐related diseases
Abstract
Age‐related diseases such as cancer, cardiovascular disease, kidney failure, and osteoarthritis have universal features: Their incidence rises exponentially with age with a slope of 6–8% per year and decreases at very old ages. There is no conceptual model which explains these features in so many diverse diseases in terms of a single shared biological factor. Here, we develop such a model, and test it using a nationwide medical record dataset on the incidence of nearly 1000 diseases over 50 million life‐years, which we provide as a resource. The model explains incidence using the accumulation of senescent cells, damaged cells that cause inflammation and reduce regeneration, whose level rise stochastically with age. The exponential rise and late drop in incidence are captured by two parameters for each disease: the susceptible fraction of the population and the threshold concentration of senescent cells that causes disease onset. We propose a physiological mechanism for the threshold concentration for several disease classes, including an etiology for diseases of unknown origin such as idiopathic pulmonary fibrosis and osteoarthritis. The model can be used to design optimal treatments that remove senescent cells, suggeting that treatment starting at old age can sharply reduce the incidence of all age‐related diseases, and thus increase the healthspan.
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The SR model explains many quantitative patterns of aging including Gompertz and Weibull hazard curves, distributions of human frailty index, disease incidence curves and heritability of lifespan.
“The SR model explains many quantitative patterns of aging including Gompertz and Weibull hazard curves19, distributions of human frailty index2, disease incidence curves31 and heritability of lifespan32.”
From A damage accumulation model identifies distinct aging regimes across species (2026) · cites this paper as [31]
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Cited by
Sorted by citations
A damage accumulation model identifies distinct aging regimes across species
Raz, N., Yang, Y., Pridham, G., Shenhar, B., Frenkel, S., Levy, T., Tlusty, T., Mayo, A., & Alon, U. (2026) · Nature Aging · doi:10.1038/s43587-026-01138-7 · Cited by 7
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Metadata
- Authors
- Katzir, I., Adler, M., Karin, O., Mendelsohn‐Cohen, N., Mayo, A., & Alon, U.
- Affiliations
- Department of Molecular Cell Biology Weizmann Institute of Science Rehovot Israel
- Department of Computer Science Weizmann Institute of Science Rehovot Israel
- Venue
- Aging Cell
- Publisher
- Wiley
- Published
- 2021-02-08
- Volume
- 20
- Issue
- 3
- ISSN
- 1474-9718
- 1474-9726
- PMC
- PMC7963340
- Cited by
- 85
- References
- 30
- Language
- en
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