Stanford’s Top Researcher (Michael Snyder) Reveals What Really Causes Diabetes

Video Description

In this conversation, I had the pleasure of talking with Stanford’s Professor Michael Snyder, one of the world’s leading voices in precision medicine, and one of my personal research heroes. We break down his lab’s groundbreaking research that reveals how type 2 diabetes is not one disease but four diseases. We discuss the nuances of the science and practical lifestyle takeaways drawn from this and other work. If you’re interested in cutting-edge health tech, the role of wearables in preventive medicine, or how to leverage your own biomarkers for long-term wellness, this conversation is for you. For a written breakdown of this work, including links and references, see this StayCurious Metabolism Newsletter: https://staycuriousmetabolism.substack.com/p/types-four-of-diabetes-what-new-technologies?r=40ekz2 Statin GLP-1 Video: https://youtu.be/3rbJnKnhg3s LDL 574 Letter: Coming Soon Homovanillic Acid Letter: https://staycuriousmetabolism.substack.com/p/the-microbiomemood-link-a-three-ingredient?r=40ekz2 ‘Grapes-to-Potato Ratio’ After an 8-16 hour overnight fast, measure 300 grams (roughly 2.75 cups) of frozen shredded potatoes. Microwave until hot. Measure your glycaemic response on a continuous glucose monitor and note the difference between your baseline glucose and peak glucose. We will call this “Delta Peak Potato.” On another day after an overnight fast, measure 275 grams of red grapes (roughly 55 medium sized grapes) and replicate the procedure to acquire “Delta Peak Grape.” If the ratio of the “Delta Peak Potato / Delta Peak Grape” is higher, it indicates more muscle insulin resistance. While a true predictive model with sensitivity and specificity measures has not yet been formalized, a ratio above 1.2 provides a roughly 80% sensitivity for detecting muscle insulin resistance. Chapters: 00:00 – Intro: A Data-Driven Approach to Metabolic Health 3:02 – How Michael Snyder’s Lab Uses Real-Time Health Data 4:52 – What Multi-Omics Can Reveal About Your Health 7:58 – The Study That Could Redefine Diabetes Diagnosis 10:31 – A New Framework: 4 Metabolic Sub-phenotypes of Diabetes 14:53 – Why Everyone Gets Diabetes Wrong: The Power of Real-Time Data 18:51 – Personalized Medicine: Tailoring Treatment to the Individual 24:21 – How Wearables & Personalized Data Are Transforming Health Monitoring 29:14 – When Statins Backfire: The Need for Individualized Care 33:20 – How Personalized Data Can Replace Reactive Care 35:08 – Every Meal Leaves a Metabolic Signature 39:07 – Final Thoughts: The Power of Personal Health Data 43:00 – How to Join Dr. Snyder’s Research #metabolichealth #realdata #personalizedmedicine #wearabletech #healthmonitoring #diabetesresearch #glucosemonitoring #healthoptimization #lifespan #omics #multiomics #insulinresistance #preventivemedicine #continuoushealthdata #metabolicinsights #healthtech #genomics #michaelsnyder #nicknorwitz #cgms #precisionmedicine #dataoverdiagnosis #metabolicphenotypes #nutritionaldata #realworldevidence #biomarkers #metabolicflexibility #metabolicdisease #glucosevariability #systemsbiology #individualizedcare #datahealthrevolution #smartwearables #bioindividuality #realworlddata #clinicalinsights #personalizedhealth #microbiomedata #metabolicmonitoring #staycurious