GoKawiilHow quickly is a person ageing, and what is their risk of dying in the near future? Can lifespan be predicted from molecular data? These fundamental questions in ageing research have implications for drug discovery, clinical trials and precision medicine. The ability to estimate age, mortality risk and lifespan in model organisms such as rodents, is important because it can speed up the testing of interventions that aim to extend healthspan and lifespan. Writing in Nature, Tyshkovskiy et al.1 report a computational model for estimating age and predicting mortality using large-scale gene-expression (that is, transcriptomic) signatures that are common across several tissues and four mammalian species.
doi: https://doi.org/10.1038/d41586-026-01326-w
References Tyshkovskiy, A. et al. Nature https://doi.org/10.1038/s41586-026-10542-3 (2026). Horvath, S. & Raj, K. Nature Rev. Genet. 19, 371–384 (2018). Horvath, S. Genome Biol. 14, 3156 (2013). Lu, A. T. et al. Nature Aging 3, 1144–1166 (2023). de Magalhaes, J. P., Curado, J. & Church, G. M. Bioinformatics 25, 875–881 (2009). Frenk, S. & Houseley, J. Biogerontology 19, 547–566 (2018). Franceschi, C. & Campisi, J. J. Gerontol. A Biol. Sci. Med. Sci. 69, S4–S9 (2014). Miller, R. A. et al. Aging Cell 13, 468–477 (2014). Download references
Competing Interests J.P.M. is chief science officer of YouthBio Therapeutics; an adviser and consultant for the BOLD Longevity Growth Fund and NOVOS; and the founder of Magellan Science, a company that provides consulting services in longevity science.
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