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

TranslAGE Defends Biomarker Responsiveness Amid Critique TranslAGE brought together 51 studies in which human participants had blood drawn before and after an intervention. In every dataset the authors uniformly calculated 16 epigenetic clocks — algorithms that estimate age‑related changes from DNA chemical marks. On August 30 Raghav Segal, the first author of TranslAGE, replied to criticism from biogerontologist Matt Kaeberlein. Kaeberlein’s objection is whether a shift in such a marker can be used to judge the impact of a drug, diet, or exercise regimen on a person. The authors harmonized the data from those 51 studies and applied a single panel of the 16 clocks to each dataset, making it possible to compare marker shifts across different groups, time periods, and interventions. Segal phrases the article’s core question as: “Do these biomarkers respond to interventions in the expected direction, how strongly, and how consistently?” He describes the route to a clinically useful marker in three words: prognostic → responsive → surrogate. Prognostic ties the marker to future disease, function, or mortality; responsiveness shows its shift after an intervention; surrogacy would let that shift predict a patient‑relevant outcome. In the paper responsiveness is presented as a step toward a surrogate marker, which TranslAGE tests by examining how the clocks react to presumed anti‑aging interventions. Kaeberlein’s follow‑up question is whether that shift can be linked to the concrete outcome of a specific intervention in an individual. 🔗 Read original →