AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
11min chapter
#062 Dr. Steve Horvath on epigenetic aging to predict healthspan: the DNA PhenoAge and GrimAge clocks
FoundMyFitness
Unraveling the Science of Aging
This chapter explores the intricate relationship between trial design, primary outcomes, and surrogate markers in medical research, highlighting the importance of intrinsic biomarkers like the GrimAge clock. It examines the impact of sleep quality on epigenetic aging and heart health, supported by findings from the Women's Health Initiative, while also discussing cellular senescence and genomic methylation patterns. The discussion underscores the evolving intersection of developmental biology and aging, revealing how epigenetic clocks provide insight into healthspan and longevity.
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode