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

Longevity Study Results A recent study published in Nature Medicine on August 21 analyzed 51 longevity studies with 3,128 blood samples. The authors calculated 16 epigenetic clocks, which are markers on DNA associated with age, mortality risk, or aging rate. Clinical outcomes of anti-aging interventions become apparent over years, as diseases and mortality develop slowly. The researchers took blood samples before and after interventions and used the clocks as a rapid measure. They should notice changes and provide consistent results upon repeated measurements. The same group had previously shown that re-analyzing the same sample can be accurate, but a new sample from the same person can give a different result. The authors collected pairs of samples before and after interventions from the TranslAGE database, unified participant information and observation periods, and recalculated the same panel of clocks for each sample. They separated the clock measurements from calendar age and compared the results for each person. This allowed them to determine which measures shifted after different interventions and in different participant groups. Measures developed to assess aging rate or mortality risk, such as DunedinPACE, more often provided a consistent response. 🔗 Read original →