Universal transcriptomic hallmarks of mammalian ageing and mortality
, yet the underlying molecular mechanisms of this modulation remain unclear. Here we integrate more than 11,000 transcriptomes from more than 25 tissues across 4 mammals (mouse, rat, macaque and human) to develop accurate, interpretable rodent and multi-species biomarkers of chronological age and expected mortality, predicting lifespan-modulating interventions, time to death, chronic diseases and rejuvenation. Ageing-related changes were conserved across species and cell types, revealing universal transcriptomic signatures of mammalian ageing and mortality, including CDKN1A and LGALS3, whose protein levels were also associated with mortality and multimorbidity in UK Biobank. Mortality-associated features were recapitulated across in vivo and in vitro damage-accumulation models, including inflammation, replicative senescence, metabolic inhibition and γ-irradiation, and were attenuated or reversed by cell immortalization, reprogramming, heterochronic parabiosis and early embryogenesis. Network analysis uncovered a modular architecture of ageing- and mortality-associated hallmarks, encompassing inflammation, interferon signalling, mitochondrial function, chromatin modification and extracellular matrix organization. To quantify ageing of individual cellular components, we developed module-specific clocks, which revealed pathway-specific effects of interventions: chronic diseases primarily accelerated inflammatory-module ageing, whereas caloric restriction and Klotho (also known as Kl) deficiency targeted mitochondrial and metabolic modules. Transcriptomic and DNA methylation clocks showed correlated age acceleration in human blood, which was strongest for the chromatin-associated module clock, highlighting mechanistic links between molecular ageing modalities. This study reveals conserved signatures and a modular architecture of mortality regulation, providing a framework for quantifying and targeting ageing of cellular subsystems across species and tissues.
Authors
- Alexander Tyshkovskiy (ORCID: https://orcid.org/0000-0002-6215-190X)
- Lauren Kats (ORCID: https://orcid.org/0000-0003-0434-0742)
- Jeremy M. Van Raamsdonk (ORCID: https://orcid.org/0000-0001-8376-9605)
- Sergey E. Dmitriev (ORCID: https://orcid.org/0000-0002-1774-8475)
- Alibek Moldakozhayev (ORCID: https://orcid.org/0000-0002-7425-2935)
- David E. Harrison
- Kejun Ying (ORCID: https://orcid.org/0000-0002-1791-6176)
- Yoshiyasu Tongu (ORCID: https://orcid.org/0009-0005-9085-0563)
- Daria Kholdina
- Maria Davitadze
- Anastasiya Vladimirova
- Dmitrii Glubokov
- Hanna Liu
- Takaaki Abe (ORCID: https://orcid.org/0000-0003-3170-4660)
- Mahdi Moqri
- Adrian Molière (ORCID: https://orcid.org/0009-0008-5435-8004)
- Uma Khasanova
- Randy Strong (ORCID: https://orcid.org/0000-0001-6643-3288)
- Tomoko Kasahara (ORCID: https://orcid.org/0000-0003-4109-2362)
- Bohan Zhang (ORCID: https://orcid.org/0000-0002-8007-0214)
- Vadim N. Gladyshev (ORCID: https://orcid.org/0000-0002-0372-7016)
- Alec Eames
Institutions
- Broad Institute (US)
- Brigham and Women's Hospital (US)
- Harvard University (US)
- Massachusetts College of Pharmacy and Health Sciences (US)
- The University of Texas at San Antonio Health Science Center (US)
- Lomonosov Moscow State University (RU)
- Tohoku University (JP)
- Heidelberg University (DE)
- McGill University Health Centre (CA)
- ETH Zurich (CH)
- Jackson Laboratory (US)
- South Texas Veterans Health Care System (US)
- McGill University (CA)
- Stanford University (US)
Publication Details
- Journal
- Nature
- Published
- 2026-05-27
- DOI
- https://doi.org/10.1038/s41586-026-10542-3
- Citations
- 2
- Primary Topic
- Genetics, Aging, and Longevity in Model Organisms
- Type
- article
- Field-Weighted Citation Impact
- 16.63