Longevity Genes, Blood Biomarkers of Aging, & Targeting Aging with Metformin with Dr. Nir Barzilai

6 Mar 2024 · 79 min
Episode

6 Mar 2024 · 79 min

0:00

In this hour‑long interview on the Longevity by Design podcast, Dr. Nir Barzilai, director of the Institute for Aging Research at Albert Einstein College of Medicine, discusses his decades‑long work on human longevity. He describes the centenarian cohort (≈750 individuals) and their offspring, highlighting the concept of "contraction of morbidity" – centenarians live as long as their peers but experience disease 20‑30 years later, resulting in a short period of ill‑health at the end of life. Barzilai explains how studying a genetically homogeneous Ashkenazi‑Jewish population enabled the discovery of rare protective variants in pathways such as growth‑hormone/IGF‑1 signaling, CETP, and APOC3, and how whole‑genome sequencing revealed that many centenarians carry high‑risk disease genotypes (e.g., APOE4) yet remain disease‑free, suggesting slowed aging rather than a perfect genome. He outlines the use of SOMAscan proteomics (≈5,000 proteins) to derive organ‑specific biological age markers and to identify pathways (IGF‑1, collagen turnover, immune decline) that differ between individuals. The conversation moves to therapeutic translation: the TAME trial testing metformin as a gerotherapeutic, its pleiotropic effects (insulin sensitization, anti‑inflammatory, COVID‑19 protection), and the antagonistic pleiotropy of IGF‑1 and mTOR pathways (beneficial when young, detrimental when old). Barzilai reviews other drug candidates (SGLT2 inhibitors, GLP‑1 agonists, CETP/APOC3 inhibitors, bisphosphonate tidronate, rapamycin) and the challenges of dose‑response and sex‑specific effects. He emphasizes socioeconomic status, education, and social connectivity as major determinants of longevity, while noting that many centenarians are overweight, smokers, and have modest exercise. Finally, he shares personal health practices (exercise, intermittent fasting, sleep, social ties, metformin) and envisions a future of data‑driven longevity medicine integrating wearables, blood biomarkers, and personalized drug regimens.

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