RNA clocks forecast aging and mortality across mammals
TL;DR Summary
Nature News & Views describes Tyshkovskiy et al.’s cross-tissue, cross-species transcriptomic model that estimates chronological age and predicts mortality from RNA data across four mammalian species, revealing universal ageing hallmarks and potentially accelerating anti-ageing interventions.
- Gene-expression patterns can be used to estimate mortality risk and chronological age Nature
- ‘Universal’ aging clocks offer new clues to longevity Scientific American
- From whole-body to organ-specific biological age clocks Nature
- How responsibly gathered and used data helps healthy ageing The World Economic Forum
- Your body’s ‘true age’ may help predict future illness, scientists say JNS.org
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