Overview
- An international team led by Alexander Tyshkovskiy and Vadim Gladyshev published the results in Nature reporting universal transcriptomic aging signatures drawn from more than 11,000 samples.
- The researchers analyzed transcriptomes from humans, mice, rats and macaques across 25-plus tissue types to find gene‑expression changes that recur with age across species.
- From those conserved signals the team built transcriptomic 'molecular clocks' that estimate an organism’s biological age and can predict expected survival.
- The clocks changed when samples were exposed to known longevity interventions such as caloric restriction and to chronic disease and cellular stress, showing they track biological responses.
- Independent experts say the markers are useful for measuring treatment effects but warn the study does not prove the gene patterns cause aging and that wider human validation and ethical work are needed.