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Compression of morbidity by interventions that steepen the survival curve
Yifan Yang, Avi Mayo, Tomer Levy, Naveh Raz, Ben Shenhar, Daniel F. Jarosz, Uri Alon
Nature Communications · 2025 · ▲ 15 citations
Abstract
Longevity research aims to extend the healthspan(definition) while minimizing the duration of disability and morbidity, known as the sickspan. Most longevity interventions in model organisms extend healthspan, but it is not known whether they compress sickspan relative to the lifespan. Here, we present a theory that predicts which interventions compress relative sickspan, based on the shape of the survival curve. Interventions such as caloric restriction(definition) that extend mean lifespan while preserving the shape of the survival curve, are predicted to extend the sickspan proportionally, without compressing it. Conversely, a subset of interventions that extend lifespan and steepen the shape of the survival curve are predicted to compress the relative sickspan. We explain this based on the saturating-removal mathematical model of aging, and present evidence from longitudinal health data in mice, Caenorhabditis elegans and Drosophila melanogaster. We apply this theory to identify potential interventions for compressing the sickspan in mice, and to combinations of longevity interventions. This approach offers potential strategies for compressing morbidity and extending healthspan.
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- 10.1038/s41467-025-57807-5
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- 2026-06-29 MST
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APA
Yang, Y., Mayo, A., Levy, T., Raz, N., Shenhar, B., Jarosz, D.F., & Alon, U. (2025). Compression of morbidity by interventions that steepen the survival curve. <em>Nature Communications</em>. https://doi.org/10.1038/s41467-025-57807-5
Vancouver
Yang Y, Mayo A, Levy T, Raz N, Shenhar B, Jarosz DF, et al. Compression of morbidity by interventions that steepen the survival curve. Nature Communications. 2025. doi:10.1038/s41467-025-57807-5.
BibTeX
@article{yifan2025Compre,
title = {Compression of morbidity by interventions that steepen the survival curve},
author = {Yifan Yang and Avi Mayo and Tomer Levy and Naveh Raz and Ben Shenhar and Daniel F. Jarosz and Uri Alon},
journal = {Nature Communications},
year = {2025},
doi = {10.1038/s41467-025-57807-5},
}
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