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Systems Biologist Uri Alon Explains Aging as a Solvable EquationLongevity & Aging

Systems Biologist Uri Alon Explains Aging as a Solvable Equation

Dr. Uri Alon, a systems biologist at the Weizmann Institute, joins the Longevity by Design podcast to offer a fresh framework for understanding aging. Using an accessible analogy — houses produce garbage, trucks remove it, and the village has a damage threshold — he maps biological aging onto a predictive model. Senescent and damaged cells are the garbage, immune clearance is the truck fleet, and long-lived cells and stem cells are the houses. When cleanup capacity falls behind accumulation, disease and death follow. Alon also revisits heritability of lifespan, arguing it sits closer to 50% once early non-aging deaths are corrected for in older twin studies. He evaluates interventions including senolytics, epigenetic reprogramming, rapamycin, GLP-1 agonists, and SGLT2 inhibitors through this systems lens, and highlights sleep as a tool for reducing biological noise.

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