Aug 22, 2018 · 57m · y-combinator

David Zeevi on Personalized Nutrition Based on Your Gut Microbiome · Y Combinator

David Zeevi · 43m spoken Craig Cannon · 7m spoken
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Dr. David Zeevi discusses how personalized nutrition and gut microbiome analysis can resolve the global metabolic health crisis by replacing flawed universal dietary guidelines with predictive machine learning algorithms.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. How this is scored →

The partners as informed peer 2.6 Guest teaching 4.7 Guest disagreement 0.6 The partners pushing back 1.0
05100:0015:0030:0045:004:07–8:51 · The partners as informed peer 2/10 Blood Glucose as a Scientific Metric for Nutrition Craig Cannon sets up the discussion on metabolic disease and asks foundational questions about how dietary effects were measured. David Zeevi provides a detailed scientific explanation of why postprandial blood glucose and continuous glucose monitors serve as an ideal high-resolution proxy for metabolic response.8:51–16:40 · The partners as informed peer 3/10 Person-to-Person Variability and Study Design Zeevi explains the design of the 800-person study and how individual glycemic responses to identical meals varied drastically across the cohort. Cannon asks constructive clarifying questions regarding the standardization protocols and data collection methods.16:40–26:07 · The partners as informed peer 3/10 The Gut Microbiome and Its Impact on Metabolic Health Cannon asks whether an optimal universal microbiome exists and queries the efficacy of commercial probiotics and fecal transplants. Zeevi unpacks microbiome complexity using landmark studies on carnitine metabolism, twin mouse models, and C. difficile treatments.26:07–34:29 · The partners as informed peer 3/10 Machine Learning and Predicting Glycemic Responses Zeevi outlines the machine learning architecture, detailing how boosted decision trees on 137 features achieved an R of 0.68 compared to traditional carb counting. Cannon engages with practical questions about model inputs and dietary variance in Israel.34:29–42:08 · The partners as informed peer 2/10 Personalized Nutrition Findings and Dietary Fat History Cannon asks whether universal dietary recommendations emerged from the findings, which Zeevi rejects before delving into the history of dietary fat vilification and the flawed Six Countries Study by Ancel Keys.42:08–50:26 · The partners as informed peer 3/10 Ocean Microbiomes and Bacterial Genomic Structural Variations Zeevi introduces his research on bacterial genomic structural variations, revealing a specific microbial region linked to a 15-pound weight reduction via butyrate synthesis. Cannon follows closely, referencing horizontal gene transfer and asking about direct butyrate supplementation.50:26–57:00 · The partners as informed peer 2/10 Microbiome Resilience, Travel, and Dietary Intervention Validation The conversation concludes with discussions on microbiome resilience during travel and food poisoning, followed by Zeevi describing the blinded intervention validation study that confirmed personalized diet predictions.4:07–8:51 · Guest teaching 4/10 Blood Glucose as a Scientific Metric for Nutrition Craig Cannon sets up the discussion on metabolic disease and asks foundational questions about how dietary effects were measured. David Zeevi provides a detailed scientific explanation of why postprandial blood glucose and continuous glucose monitors serve as an ideal high-resolution proxy for metabolic response.8:51–16:40 · Guest teaching 4/10 Person-to-Person Variability and Study Design Zeevi explains the design of the 800-person study and how individual glycemic responses to identical meals varied drastically across the cohort. Cannon asks constructive clarifying questions regarding the standardization protocols and data collection methods.16:40–26:07 · Guest teaching 5/10 The Gut Microbiome and Its Impact on Metabolic Health Cannon asks whether an optimal universal microbiome exists and queries the efficacy of commercial probiotics and fecal transplants. Zeevi unpacks microbiome complexity using landmark studies on carnitine metabolism, twin mouse models, and C. difficile treatments.26:07–34:29 · Guest teaching 5/10 Machine Learning and Predicting Glycemic Responses Zeevi outlines the machine learning architecture, detailing how boosted decision trees on 137 features achieved an R of 0.68 compared to traditional carb counting. Cannon engages with practical questions about model inputs and dietary variance in Israel.34:29–42:08 · Guest teaching 5/10 Personalized Nutrition Findings and Dietary Fat History Cannon asks whether universal dietary recommendations emerged from the findings, which Zeevi rejects before delving into the history of dietary fat vilification and the flawed Six Countries Study by Ancel Keys.42:08–50:26 · Guest teaching 6/10 Ocean Microbiomes and Bacterial Genomic Structural Variations Zeevi introduces his research on bacterial genomic structural variations, revealing a specific microbial region linked to a 15-pound weight reduction via butyrate synthesis. Cannon follows closely, referencing horizontal gene transfer and asking about direct butyrate supplementation.50:26–57:00 · Guest teaching 4/10 Microbiome Resilience, Travel, and Dietary Intervention Validation The conversation concludes with discussions on microbiome resilience during travel and food poisoning, followed by Zeevi describing the blinded intervention validation study that confirmed personalized diet predictions.4:07–8:51 · Guest disagreement 0/10 Blood Glucose as a Scientific Metric for Nutrition Craig Cannon sets up the discussion on metabolic disease and asks foundational questions about how dietary effects were measured. David Zeevi provides a detailed scientific explanation of why postprandial blood glucose and continuous glucose monitors serve as an ideal high-resolution proxy for metabolic response.8:51–16:40 · Guest disagreement 0/10 Person-to-Person Variability and Study Design Zeevi explains the design of the 800-person study and how individual glycemic responses to identical meals varied drastically across the cohort. Cannon asks constructive clarifying questions regarding the standardization protocols and data collection methods.16:40–26:07 · Guest disagreement 1/10 The Gut Microbiome and Its Impact on Metabolic Health Cannon asks whether an optimal universal microbiome exists and queries the efficacy of commercial probiotics and fecal transplants. Zeevi unpacks microbiome complexity using landmark studies on carnitine metabolism, twin mouse models, and C. difficile treatments.26:07–34:29 · Guest disagreement 1/10 Machine Learning and Predicting Glycemic Responses Zeevi outlines the machine learning architecture, detailing how boosted decision trees on 137 features achieved an R of 0.68 compared to traditional carb counting. Cannon engages with practical questions about model inputs and dietary variance in Israel.34:29–42:08 · Guest disagreement 1/10 Personalized Nutrition Findings and Dietary Fat History Cannon asks whether universal dietary recommendations emerged from the findings, which Zeevi rejects before delving into the history of dietary fat vilification and the flawed Six Countries Study by Ancel Keys.42:08–50:26 · Guest disagreement 1/10 Ocean Microbiomes and Bacterial Genomic Structural Variations Zeevi introduces his research on bacterial genomic structural variations, revealing a specific microbial region linked to a 15-pound weight reduction via butyrate synthesis. Cannon follows closely, referencing horizontal gene transfer and asking about direct butyrate supplementation.50:26–57:00 · Guest disagreement 0/10 Microbiome Resilience, Travel, and Dietary Intervention Validation The conversation concludes with discussions on microbiome resilience during travel and food poisoning, followed by Zeevi describing the blinded intervention validation study that confirmed personalized diet predictions.4:07–8:51 · The partners pushing back 1/10 Blood Glucose as a Scientific Metric for Nutrition Craig Cannon sets up the discussion on metabolic disease and asks foundational questions about how dietary effects were measured. David Zeevi provides a detailed scientific explanation of why postprandial blood glucose and continuous glucose monitors serve as an ideal high-resolution proxy for metabolic response.8:51–16:40 · The partners pushing back 1/10 Person-to-Person Variability and Study Design Zeevi explains the design of the 800-person study and how individual glycemic responses to identical meals varied drastically across the cohort. Cannon asks constructive clarifying questions regarding the standardization protocols and data collection methods.16:40–26:07 · The partners pushing back 1/10 The Gut Microbiome and Its Impact on Metabolic Health Cannon asks whether an optimal universal microbiome exists and queries the efficacy of commercial probiotics and fecal transplants. Zeevi unpacks microbiome complexity using landmark studies on carnitine metabolism, twin mouse models, and C. difficile treatments.26:07–34:29 · The partners pushing back 1/10 Machine Learning and Predicting Glycemic Responses Zeevi outlines the machine learning architecture, detailing how boosted decision trees on 137 features achieved an R of 0.68 compared to traditional carb counting. Cannon engages with practical questions about model inputs and dietary variance in Israel.34:29–42:08 · The partners pushing back 1/10 Personalized Nutrition Findings and Dietary Fat History Cannon asks whether universal dietary recommendations emerged from the findings, which Zeevi rejects before delving into the history of dietary fat vilification and the flawed Six Countries Study by Ancel Keys.42:08–50:26 · The partners pushing back 1/10 Ocean Microbiomes and Bacterial Genomic Structural Variations Zeevi introduces his research on bacterial genomic structural variations, revealing a specific microbial region linked to a 15-pound weight reduction via butyrate synthesis. Cannon follows closely, referencing horizontal gene transfer and asking about direct butyrate supplementation.50:26–57:00 · The partners pushing back 1/10 Microbiome Resilience, Travel, and Dietary Intervention Validation The conversation concludes with discussions on microbiome resilience during travel and food poisoning, followed by Zeevi describing the blinded intervention validation study that confirmed personalized diet predictions.

speaking balance: gold is the partners, purple is the guest (3 minute bins)

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Sharpest disagreement ▶ 34:55 Rejection of universal dietary advice

Zeevi firmly pushes back against the premise of universal healthy food recommendations, explaining that broad guidelines inherently contradict the individualized biological reality revealed by their research.

Hardest push from the partners ▶ 49:00 Challenging the need for bacterial intermediaries for butyrate

Cannon presses Zeevi on why consumers could not simply take direct butyrate supplements rather than relying on complex bacterial genome manipulation.

Biggest teaching moment ▶ 24:25 Biology of C. difficile and ecological niche takeover

Zeevi educates Cannon on how antibiotic resistance and spore formation allow C. diff to dominate cleared guts, clarifying why fecal transplants succeed in depleted microbiomes but not healthy ones.

The partners hold their own ▶ 45:35 Demonstrating knowledge of horizontal gene transfer

Cannon cites insights from Ed Yong's 'I Contain Multitudes' to articulate bacterial promiscuity in sharing genetic material, demonstrating informed preparation on microbial genetics.

the scores for every segment, with the reasoning behind each
ChapterTopicThe partners as informed peerGuest teachingGuest disagreementThe partners pushing backWhy
Blood Glucose as a Scientific Metric for Nutrition 2401 Craig Cannon sets up the discussion on metabolic disease and asks foundational questions about how dietary effects were measured. David Zeevi provides a detailed scientific explanation of why postprandial blood glucose and continuous glucose monitors serve as an ideal high-resolution proxy for metabolic response.
Person-to-Person Variability and Study Design 3401 Zeevi explains the design of the 800-person study and how individual glycemic responses to identical meals varied drastically across the cohort. Cannon asks constructive clarifying questions regarding the standardization protocols and data collection methods.
The Gut Microbiome and Its Impact on Metabolic Health 3511 Cannon asks whether an optimal universal microbiome exists and queries the efficacy of commercial probiotics and fecal transplants. Zeevi unpacks microbiome complexity using landmark studies on carnitine metabolism, twin mouse models, and C. difficile treatments.
Machine Learning and Predicting Glycemic Responses 3511 Zeevi outlines the machine learning architecture, detailing how boosted decision trees on 137 features achieved an R of 0.68 compared to traditional carb counting. Cannon engages with practical questions about model inputs and dietary variance in Israel.
Personalized Nutrition Findings and Dietary Fat History 2511 Cannon asks whether universal dietary recommendations emerged from the findings, which Zeevi rejects before delving into the history of dietary fat vilification and the flawed Six Countries Study by Ancel Keys.
Ocean Microbiomes and Bacterial Genomic Structural Variations 3611 Zeevi introduces his research on bacterial genomic structural variations, revealing a specific microbial region linked to a 15-pound weight reduction via butyrate synthesis. Cannon follows closely, referencing horizontal gene transfer and asking about direct butyrate supplementation.
Microbiome Resilience, Travel, and Dietary Intervention Validation 2401 The conversation concludes with discussions on microbiome resilience during travel and food poisoning, followed by Zeevi describing the blinded intervention validation study that confirmed personalized diet predictions.

Statements from this episode (18)

Assertion Supported
Zeevi: Four out of ten U.S. adults are obese
“Right now, four out of 10 U.S. Adults are obese.”
David Zeevi Aug 22, 2018 ▶ 0:50
Assertion Partly supported
Zeevi: Diabetes-related costs in the U.S. totaled $250 billion in 2012
“Two hundred and fifty billion dollars spent on diabetes and its related costs in 2012.”
David Zeevi Aug 22, 2018 ▶ 1:44
Assertion Contradicted
Zeevi: Modern daily sugar consumption equals annual sugar intake in 1700
“The annual consumption in 1700 is the daily consumption today.”
David Zeevi Aug 22, 2018 ▶ 3:28
Assertion Not checkable as stated
Zeevi: Maintaining metabolic health likely requires reducing blood glucose spikes
“In order to maintain health or to restore the, that the healthy phenotype, what you need to do is to probably reduce the glucose responses.”
David Zeevi Aug 22, 2018 ▶ 8:29
Insight
Zeevi: Identical foods cause vastly different glucose spikes across individuals
“So two people eating the same loaf of white bread, one would really spike their glucose and one would really stay flat. And that's true even if you normalize the responses to the responses to glucose. So you have just to see if, so, so, so even foods are not c…”
David Zeevi Aug 22, 2018 ▶ 9:16
Assertion Supported
Zeevi: Adding butter to bread lowers blood glucose spikes for most people
“Actually, fewer people had a high response to bread and butter than to bread alone.”
David Zeevi Aug 22, 2018 ▶ 13:24
Assertion Supported
Zeevi: Gut Microbes Carry 3 Million Genes, 150x the Human Genome
“And this, these microbes have a 150 times more genes than are in the human genome. They have about three million genes.”
David Zeevi Aug 22, 2018 ▶ 16:05
Assertion Supported
Zeevi: Gut microbes metabolize red meat carnitine into atherosclerosis-causing TMAO
“They looked at carnitine, which is a compound that is found in red meat. This carnitine is metabolized by the microbiome to form TMA. It's a compound. TMA is then oxidized in the liver to form TMAO, and TMAO causes a reduce in reverse cholesterol transport and…”
David Zeevi Aug 22, 2018 ▶ 18:07
Assertion Supported
Zeevi: Mice receiving obese twin microbiomes become obese on identical diets
“They took pairs of twins that were discordant for obesity. One twin obese and one twin was... And they transplanted their microbiome into germ-free mice. Germ-free mice are mice that are born and raised in sterile conditions, and they don't have a gut microbio…”
David Zeevi Aug 22, 2018 ▶ 20:22
Insight
Zeevi: Fecal transplants work for depleted microbiomes but may fail in healthy guts
“Fecal transplants have been used, they, their claim to fame is by treating Clostridium difficile infections... You indeed transplant stool into these people, and that transplant works mainly because their microbiome is so depleted and it's like, you know, cult…”
David Zeevi Aug 22, 2018 ▶ 24:26
Assertion Supported
Zeevi: Carbohydrate counting is a surprisingly poor predictor of glucose responses
“If you take the correlation between the carbs and the meal and the postpranding glucose response of the meal, you get a correlation and R of .38, which is not a very good correlation.”
David Zeevi Aug 22, 2018 ▶ 30:56
Assertion Supported
Zeevi: Machine learning predicts blood glucose responses better than carb counting
“Overall we had the 137 features after feature selection on 40 something thousand meals, and we ran this prediction, and this prediction got us to an R of .68 compared to the previous .38, and this R of .68 is pretty close to the to the .7 that we get when we l…”
David Zeevi Aug 22, 2018 ▶ 32:42
Assertion Supported
Zeevi: Tripling bread intake did not significantly change gut microbiomes
“Usual bread consumption over this cohort of the big cohort that we did and over this 20 people cohort was about 10% of daily calories came from bread. In this study, we upped Their dose to over 25, 30% of their calories. And despite this change, this significa…”
David Zeevi Aug 22, 2018 ▶ 36:23
Assertion Supported
Zeevi: Obesity surged exactly when federal guidelines pushed carbs over dietary fat
“And if you look at their stats, you can see that people did consume more carbs and less fat. And just when they started consuming more carbs and less fat, did this epidemic of obesity and diabetes begin?”
David Zeevi Aug 22, 2018 ▶ 41:23
Assertion Partly supported
Zeevi: Specific bacterial genomic region correlates with being 15 pounds thinner
“People who have this region in their, the genome of their microbiome are about 15 pounds thinner than people who don't have this region.”
David Zeevi Aug 22, 2018 ▶ 47:26
Opinion
Zeevi: Gut bacteria producing butyrate is more beneficial than butyrate supplements
“I think that that you would gain more from, you know, having a bacterium that metabolizes things that you eat, and, you know, fiber that you eat into butyrate than eating butyrate directly.”
David Zeevi Aug 22, 2018 ▶ 49:16
Assertion Supported
Zeevi: Travel shifts gut bacterial abundance, not presence or absence
“You get this distribution of bacteria in your gut. That even when you go someplace else, it changes in abundance, but it doesn't change in presence or absence, so it bumps us back when you get to a different place.”
David Zeevi Aug 22, 2018 ▶ 51:44
Assertion Supported
Zeevi: Algorithmically personalized diets successfully normalized blood glucose peaks in clinical trials
“In the bad week, we saw huge glucose peaks for most people. Some that if you were a physician, you would look at and you would say this person is a pre-diabetic, and these peaks completely normalized during the good week. And for some people, the difference be…”
David Zeevi Aug 22, 2018 ▶ 54:59
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