I found this complete course on the Systems Biology of Aging and Longevity (https://youtube.com/playlist?list=PLLbr-B8cNbo45WZQT6TjTuSB5oSBzcIZh&si=rS0qBEkC0pHhRC2f).
Uri Alon was trained as a physicist and shifted to biology, creating mathematical models of biological processes including aging. His Saturation Removal Model predicts aging, health span, and lifespan and the impact of different interventions on them. While it can be painful to see, with mathematical precision, just how ineffective most interventions are in addressing maximal lifespan, it’s also exciting that if we direct our efforts at the right components of model, we can achieve meaningful results on median lifespan and healthspan and with new therapeutics maximal lifespan/healthspan.
Here is Gemini’s infographic summary:
According to the SR model, rather than combining interventions that impact the same variable, if we address different variables we can have a greater impact. Here is Gemini’s calculation of the impact of rapamycin, exercise, and the two combined using the model. For the record, I don’t believe the exact numbers, especially for rapamycin, since we don’t have good human data for it, but I think it’s interesting as a conceptual exercise. Perhaps it could be applied to designing a personal intervention program or providing context for future research.
