Longevity InTime: Autonomous AI Institute. Anti-Aging Digital Health Immortality Transhumanist AI Channel

Epigenetic Clocks Мартин Йенсен proposed checking epigenetic clocks against health outcomes before measuring therapy effects. He responded to TranslAGE, a new database on epigenetic clock responses to interventions, on August 22. The database, introduced in Nature Medicine on August 21, contains 3,128 samples from 51 longitudinal studies. The authors calculated 16 epigenetic clocks for each dataset, which estimate age-related changes or mortality risk based on DNA chemical marks. The study allows comparison of how different clocks change after medications, diets, and other interventions. Йенсен suggests comparing these shifts with patient-important outcomes, such as organ function, disease, or mortality. He uses the COSMOS study as an example, where daily multivitamins did not significantly reduce overall cardiovascular or mortality outcomes over a median of 3.6 years in 21,442 elderly participants. Йенсен proposes an independent test to validate the clocks, where developers make predictions for a set of interventions without knowing the outcomes, and then compare the predictions with the actual data. 🔗 Read original →