#064 Dr. Michael Snyder on Continuous Glucose Monitoring and Deep Profiling for Personalized Medicine

May 27, 2021 Episode Page ↗
Overview

Dr. Michael Snyder, Director of the Center for Genomics and Personalized Medicine at Stanford, discusses how deep profiling via genomics, metabolomics, and wearables (like CGMs and smartwatches) can revolutionize preventative medicine, enabling early disease detection and personalized health management, including his own Lyme disease diagnosis.

At a Glance
17 Insights
1h 15m Duration
17 Topics
5 Concepts

Deep Dive Analysis

Introduction to Dr. Michael Snyder and Deep Profiling Philosophy

Personal Experience: Genome Sequencing and Type 2 Diabetes Diagnosis

Prevalence and Detection of Prediabetes and Glucose Dysregulation

Utility of Continuous Glucose Monitors for Personalized Health

The Concept of Diabetes as Multiple Diseases and Personalized Treatment

Impact of Diet and Exercise on Glucose Regulation

Longitudinal Deep Profiling and Early Disease Detection

Transitioning Healthcare to a Precision and Preventative Model

Wearable Technology for Health Monitoring and Early Illness Detection

Personal Experience: Smartwatch Detection of Lyme Disease

Smartwatches for COVID-19 and Respiratory Illness Detection

Understanding Heart Rate Variability and Heart Health

Measuring the Exposome: Airborne Pollutants and Disease Risk

Strategies to Mitigate Exposure to Airborne Pollutants

Ageotypes: Personalized Aging and Disease Susceptibility

General Longevity Strategies: Exercise, Diet, and Metformin

Dr. Snyder's Personal Lifestyle Habits and Microbiome Insights

Deep Profiling

A comprehensive approach to health monitoring that involves collecting vast amounts of data, including DNA sequencing, tens of thousands of molecular measurements from blood and urine, microbiome analysis, and continuous data from wearable devices. The goal is to create a complete, personalized health picture to enable preventative and personalized medicine.

Continuous Glucose Monitors (CGMs)

Medical devices that measure glucose levels continuously, providing real-time data on how different foods and activities impact an individual's blood sugar. They are used to detect prediabetes, manage diabetes, and help healthy individuals understand their unique metabolic responses to personalize dietary and lifestyle habits.

Exposome

Refers to all the environmental exposures an individual experiences, particularly airborne exposures like pollen, bacteria, fungi, chemicals, pesticides, and carcinogens. Measuring the exposome aims to understand how these environmental factors contribute to disease risk and overall health, which has historically been poorly quantified.

Ageotypes

Personalized patterns of aging identified through deep molecular profiling over time. Individuals can be classified into different ageotypes (e.g., metabolic, kidney, liver, immune, cardio agers) based on which biological pathways are changing most rapidly, providing insights into specific disease susceptibilities and actionable interventions.

Heart Rate Variability (HRV)

A physiological measure reflecting the variation in time between heartbeats. A variable heart rate is generally considered a sign of good health, while a constant heart rate can indicate an underlying issue. HRV is one of several parameters measured by wearables that can offer insights into cardiovascular health.

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How common is it for people to have prediabetes without knowing it?

Approximately 9 out of 10 people with prediabetes are unaware they have the condition, highlighting the importance of early monitoring and detection.

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What are typical healthy and diabetic blood glucose levels?

Normally, blood glucose levels should be 90 or below. Levels over 120 are typically classified as type 2 diabetic, with the range in between considered prediabetes.

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Do different foods affect people's blood glucose levels differently?

Yes, individuals spike to different foods differently; for example, some people spike to bread, others to bananas, and others to pasta, partly due to their unique gut microbiomes.

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Can wearable devices detect illness before symptoms appear?

Yes, smartwatches can detect early signs of illness, such as elevated resting heart rate and skin temperature, often days before symptoms become apparent, as demonstrated in cases of Lyme disease and COVID-19.

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What is the average time a smartwatch can detect COVID-19 before symptoms?

On average, a smartwatch can detect an elevated resting heart rate about four days before COVID-19 symptoms appear, with some cases showing detection as early as 10 days prior.

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How can air pollution impact brain health, even in children?

Children exposed to high levels of air pollution, such as those in Mexico City, have shown biomarkers of Alzheimer's disease, including amyloid plaques, in their brains postmortem, resembling the brains of older individuals.

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What is the most important factor for longevity?

According to experts in the aging field, exercise is considered the number one factor for longevity, followed by diet, due to its benefits for muscle mass, immune health, and overall physiological function.

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Does metformin improve longevity in healthy individuals?

While metformin has shown promise in diabetics, studies suggest that in healthy, physically active individuals, it can blunt some of the exercise-induced benefits, making its role in general longevity less clear.

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Can the gut microbiome influence cholesterol levels?

Yes, certain gut microbes, particularly those that degrade specific fibers like psyllium husk, are thought to increase the production of secondary bile acids, which bind cholesterol and help remove it from the blood, thereby lowering cholesterol levels.

1. Proactive Disease Detection

Undergo longitudinal deep molecular profiling (e.g., genomics, proteomics, metabolomics) to establish your personal health baseline and detect subtle shifts that may indicate early disease onset before symptoms appear, enabling proactive management.

2. Wearables for Early Illness Detection

Regularly wear a smartwatch or other wearable device that tracks resting heart rate and skin temperature, as a sustained elevation in these metrics can indicate early signs of illness (e.g., viral infections, Lyme disease) even before symptoms appear.

3. Personalize Glucose Management with CGM

Wear a continuous glucose monitor (CGM) to understand your unique blood glucose response to different foods and lifestyle factors, allowing you to personalize your diet and habits to keep glucose levels under control and detect prediabetes early.

4. Prioritize Daily Exercise for Longevity

Engage in daily exercise, including weight training, to maintain muscle mass, combat sarcopenia, promote immune health, and improve overall longevity and health, especially as you age.

5. Tailor Interventions to Your Ageotype

Understand your personal “ageotype” (e.g., kidney, liver, immune, metabolic ager) through deep profiling to implement targeted lifestyle interventions, such as increasing water intake for kidney aging or consuming immune-boosting supplements for immune aging.

6. Avoid Personal Glucose Spiking Foods

Identify and avoid specific foods that cause significant blood glucose spikes for you, such as white rice, cornflakes with milk, or foods with hidden sugars (e.g., sugary barbecue sauce), based on personal CGM data.

7. Walk After Meals to Reduce Glucose Spikes

Engage in a brisk walk or exercise shortly after eating foods that typically cause glucose spikes to significantly suppress those spikes and improve glucose regulation.

8. Increase Daily Fiber Intake

Aim for a daily fiber intake of around 30 grams (from sources like carrots or fiber supplements) to support gut health and overall well-being, as most people consume significantly less than recommended.

9. Sweat to Excrete Toxins

Engage in activities that promote sweating, such as exercise or sauna bathing, to help excrete certain xenobiotics and heavy metals like mercury from the body.

10. Sulforaphane for Pollutant Detox

Consume sulforaphane, found abundantly in cruciferous vegetables like broccoli sprouts, to enhance the body’s excretion of airborne pollutants like benzene and acrolein by activating the NRF2 pathway.

11. Personalize Diabetes Treatment

If diagnosed with diabetes, seek deep profiling to understand the specific underlying cause (e.g., insulin resistance, insulin production, insulin release) to ensure you receive the most effective, personalized treatment.

12. Monitor Heart Rate Variability (HRV)

Monitor your heart rate variability (HRV) using a smartwatch or wearable device, as it is a key measure of heart health, and significant changes or a constant heart rate could indicate underlying issues like atrial fibrillation.

13. Personal Microbiome Analysis for Diet

Explore personal microbiome analysis to understand your gut composition, which can inform personalized dietary choices, especially regarding fiber intake, as different microbiomes degrade fibers differently.

14. Psyllium Husk to Lower Cholesterol

Consume psyllium husk, which contains ispaghula, to help lower cholesterol levels.

15. Identify Personal Environmental Allergens

Use exposome tracking (if available) or careful observation to identify specific environmental allergens that trigger your allergic responses, allowing you to make informed decisions like removing a problematic plant.

16. Contribute to Wearables Illness Detection Study

Enroll in the Stanford Innovations Lab’s wearables study at innovations.stanford.edu/wearables to contribute data that helps improve algorithms for real-time illness detection (including COVID-19 and other respiratory illnesses) and receive alerts if your heart rate jumps up.

17. Embrace Personal Health Data Collection

Adopt a mindset of collecting more personal health data through wearables and molecular measurements to establish your health baseline and monitor shifts, enabling a deeper understanding of your health and early detection of issues.

If you can't measure it, you can't improve it.

William Thompson (quoted by host)

I'm a believer you can't have enough data. More information is always better than less information.

Dr. Michael Snyder

You don't want to learn about you have a heart condition by getting a heart attack. That's not the way to learn.

Dr. Michael Snyder

People are very good at deciding for themselves what they want or don't want in terms of information. And getting this information to catch disease early is a no-brainer to me.

Dr. Michael Snyder

Everybody knows the environment is important for disease, but we don't know what aspects of the environment.

Dr. Michael Snyder

You may not know, but you're getting cancer your entire life. And you're clearing it your entire life. Why does it that old people get cancer? Well, what happens is your immune system declines, especially in those people in their 60s.

Dr. Michael Snyder

Glucose Spike Suppression Training

Dr. Michael Snyder
  1. Eat a food known to cause a glucose spike (e.g., white rice).
  2. Perform a brisk walk 15 minutes after eating.
9%
Percentage of US population that is diabetic Based on current classifications
33%
Percentage of US population that is prediabetic Most of whom are unaware and will progress to diabetes
49
Number of people in Dr. Snyder's study who learned something important about their health Out of 109 people, within the first three years of profiling
$3,500
Cost of a thorough medical exam with deep molecular measurements and whole body MRI at QBio Current cost, with hopes to make it cheaper over time
81%
Detection rate of elevated resting heart rate for COVID-19 using a smartwatch For 26 out of 32 people in a retrospective study, at or before symptoms
70%
Real-time detection rate of illness (including COVID-19) using smartwatch algorithms For 44 out of 63 people with COVID-19 as of end of January, alerted at or before symptoms
30 grams
Recommended daily fiber intake for adults Varies by gender, but most people consume only 12-15 grams
60%
Increase in benzene excretion after sulforaphane concentrate After 24 hours, by activating the NRF2 pathway
5
Minimum number of measurements needed to determine ageotype Within a two-year period
8 out of 10
Number of people on statins who showed a decrease in creatinine (marker of kidney function) Suggesting statins might improve kidney function, hypothesis requires further follow-up
10 pounds
Amount of muscle mass gained by Dr. Snyder since starting weight training Measured via whole body MRI