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Short-Chain Fatty Acids, Diabetes Subtypes & Wearable HealthTech | Michael Snyder | 211
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Short-Chain Fatty Acids, Diabetes Subtypes & Wearable HealthTech | Michael Snyder | 211

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Short Summary: Personalized health monitoring with Professor Michael Snyder, blending cutting-edge science with practical tips and actionable insights.

About the guest: Michael Snyder, PhD is a Professor of Genetics at Stanford University School of Medicine. He directs the Center for Genomics and Personalized Medicine, which focuses on big data and health innovation. Snyder holds a PhD from Caltech and completed postdoctoral work at Stanford. His career has spanned yeast genomics to human health profiling. Currently, he leads research on advanced molecular and wearable technologies while spinning off companies like Q Bio to translate findings into real-world health solutions.

Note: Podcast episodes are fully available to paid subscribers on the M&M Substack and everyone on YouTube. Partial versions are available elsewhere. Full transcript and other information on Substack.

Episode Summary: Nick talks to Dr. Michael Snyder about transforming medicine through personalized health monitoring, leveraging tools like wearables, continuous glucose monitors, and deep molecular profiling. They explore how diet, microbiome, and genetics shape metabolic health, delving into Snyder’s research on diabetes subtypes, short-chain fatty acids, and aging patterns. The conversation also covers practical technologies available today, like smartwatches and home blood tests, and their potential to catch diseases early and extend healthy lifespans.

Key Takeaways:

  • Medicine is shifting from sick care to proactive health care using comprehensive data from wearables and molecular profiling.

  • Diabetes has many subtypes, not just type 1 or 2, and treatments like drugs or diet should match an individual’s specific profile.

  • Dietary fiber boosts gut health by producing short-chain fatty acids, which influence gene expression and may reduce leaky gut risks.

  • Aging isn’t linear—big changes spike in the 40s and 60s, varying by person (e.g., heart, kidneys, metabolism), offering chances to adjust lifestyles early.

  • Wearables like fitness watches can detect illnesses (e.g., COVID, Lyme) days before symptoms by tracking heart rate shifts.

  • Continuous glucose monitors reveal surprising food responses, guiding personalized diets.

  • Snyder’s goal is to close the 11-15 year gap between lifespan and healthspan, helping people live healthier longer.

Related episode:

  • M&M #205: Systems Biology, Personalized Medicine, AI & the Future of Health | Lee Hood

*Not medical advice.




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Episode Chapters:

00:00:00 Intro

00:05:56 Transforming Medicine with Big Data

00:11:52 Epidemic of Diabetes & Metabolic Health

00:17:36 Michael Snyder’s Personal Diabetes Journey

00:24:13 Subtyping Diabetes & Personalized Treatment

00:32:03 Short Chain Fatty Acids and Gut Health

00:41:45 Linking Fiber, Microbiome & Colon Cancer

00:49:13 Lipidome & Metabolic Changes in Health

00:57:03 Aging, Glucose Monitoring & Personalized Diets

01:04:25 Non-Linear Aging & Lifestyle Impacts

01:13:40 Wearable Tech for Early Disease Detection

01:21:22 Best Smart Watches for Health Monitoring

01:26:25 Closing Thoughts on Health Span and Data Privacy


Full AI-generated transcript below. Beware of typos & mistranslations!

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