Metabolic health: blood sugar & energy
This curriculum moves from intuitive, story-driven introductions to the science of blood sugar and metabolism, through evidence-based dietary and fasting frameworks, and finally into the rigorous biochemistry and research-literacy needed to evaluate claims independently. Each stage builds the vocabulary and conceptual scaffolding required for the next, so the learner never feels lost — and never has to take an influencer's word for it.
Foundations: How the Body Manages Energy
New to itBuild a clear mental model of insulin, blood sugar, glucose metabolism, and why they matter for weight and long-term health — with no prior biology required.
▸ Study plan for this stage
Pace: 6–8 weeks total: Weeks 1–3 for "Why We Get Sick" (~25–30 pages/day, including 2–3 pause days per week for reflection); Weeks 4–7 for "The Obesity Code" (~20–25 pages/day, slightly slower to absorb the hormonal framework); Week 8 is a synthesis week — no new reading, only review, journaling, and exer
- Insulin resistance as a root cause: Bikman's central thesis that insulin resistance underlies most modern chronic diseases (type 2 diabetes, heart disease, PCOS, Alzheimer's), not merely accompanies them.
- How insulin works: insulin as the key 'storage hormone' that signals cells to absorb glucose, and what happens when cells stop responding to that signal.
- The fed vs. fasted state: how the body alternates between storing energy (high insulin) and burning energy (low insulin), and why the balance between these states matters for metabolic health.
- Blood sugar regulation: the roles of the pancreas, liver, and muscle tissue in keeping blood glucose within a narrow healthy range, and what disrupts this system.
- Fung's hormonal obesity theory: the argument in The Obesity Code that obesity is driven by chronically elevated insulin — not simply by calories in vs. calories out — reframing weight gain as a hormonal problem.
- The insulin index vs. the glycemic index: why the type and timing of food matters beyond just sugar content, including how protein and refined carbohydrates spike insulin differently than expected.
- The role of fasting and meal timing: Fung's evidence that when you eat is as important as what you eat, and how periods of low insulin allow the body to access stored fat.
- Lifestyle levers: the modifiable factors both authors identify — diet composition, meal frequency, sleep, stress, and exercise — that directly influence insulin sensitivity and metabolic health.
- In your own words, what is insulin resistance, and according to Bikman, why is it dangerous beyond just raising blood sugar?
- How does the body decide whether to store or burn fat, and what role does insulin play in that decision?
- What is Fung's core argument against the 'calories in, calories out' model of obesity, and what does he propose instead?
- Why might two meals with the same calorie count produce very different insulin responses, and what factors drive that difference?
- What lifestyle habits do both Bikman and Fung identify as key drivers of chronically elevated insulin, and what do they recommend to reverse them?
- How do the arguments in 'Why We Get Sick' and 'The Obesity Code' complement each other — where do they agree, and are there any tensions between them?
- Personal baseline log: For one full week during your reading of 'Why We Get Sick', track your meals, snack timing, and energy levels in a simple journal. At the end of the week, identify patterns — when do you feel energy crashes? This makes Bikman's fed/fasted framework viscerally real.
- Concept map: After finishing 'Why We Get Sick', draw a hand-drawn diagram connecting: Insulin → Insulin Resistance → at least 4 downstream diseases Bikman discusses. Add one sentence per arrow explaining the mechanism. Redraw it from memory two days later.
- Meal insulin audit: Using Fung's insulin index discussion in 'The Obesity Code', take three of your typical meals and rank their likely insulin impact. Note which ingredients are the biggest drivers. You are not changing your diet — just building awareness.
- The 'Two Models' comparison table: Create a two-column table. Column A: the conventional calorie-balance explanation for weight gain. Column B: Fung's hormonal/insulin explanation. Fill in how each model explains hunger, plateaus, yo-yo dieting, and why some people gain weight easily. Use only evidence from the book.
- Teach-it-back exercise: After completing both books, explain the concept of insulin resistance to a friend, family member, or even a voice memo — as if they have zero biology background. Aim for 3–5 minutes. This mirrors Bikman's own accessible communication style and reveals any gaps in your understanding.
- Synthesis essay (one page): Write a short personal response to this prompt: 'Based on both books, what is the single most important change in how I think about food, weight, or health — and why?' This is not a diet plan; it is a reflection on your mental model shift.
Next up: Having built a solid mental model of how insulin and blood sugar work at the foundational level, the reader is now ready to move into more advanced or applied stages — such as the science of specific dietary interventions, the nuances of metabolic testing, or the clinical evidence behind therapeutic approaches like low-carbohydrate diets or time-restricted eating.
A metabolic physiologist explains insulin resistance in plain language — the single best starting point for understanding how blood sugar dysregulation drives modern disease. Sets the conceptual vocabulary for everything that follows.
Builds directly on insulin concepts to explain why calories-in/calories-out is incomplete, and how hormonal signaling — especially insulin — drives fat storage and weight. Accessible narrative with solid references.
Diet & Blood Sugar: The Evidence
New to itUnderstand what the research actually says about carbohydrates, dietary fat, and different eating patterns on blood sugar and metabolic health — separating signal from noise.
▸ Study plan for this stage
Pace: 6–8 weeks total: ~3 weeks on "The Case for Keto" (Taubes, ~30 pages/day) and ~3–4 weeks on "Metabolical" (Lustig, ~25 pages/day), given Lustig's denser scientific detail. Budget extra time on weekends to re-read heavily cited chapters.
- The carbohydrate-insulin model of obesity and metabolic disease (Taubes): dietary carbohydrates drive insulin secretion, which drives fat storage and suppresses fat burning
- Why Taubes argues that dietary fat has been wrongly blamed for heart disease and obesity, and how the low-fat dietary guidelines may have worsened metabolic health at a population level
- The distinction between 'real food' and 'processed food' as Lustig's central framework — and why food processing, not any single macronutrient, is the primary driver of metabolic dysfunction
- Lustig's concept of 'The Hateful Eight' — eight specific ways food processing harms metabolic health (e.g., removal of fiber, addition of sugar, trans fats, omega-6 overload)
- Fructose metabolism: why Lustig singles out added fructose (especially in high-fructose corn syrup and sucrose) as uniquely harmful to the liver, driving non-alcoholic fatty liver disease (NAFLD), insulin resistance, and dyslipidemia
- Insulin resistance as the common upstream driver of Type 2 diabetes, cardiovascular disease, hypertension, and other chronic diseases — a thread running through both books
- How to critically evaluate nutritional epidemiology: the limitations of observational studies, food frequency questionnaires, and industry-funded research (both authors address this extensively)
- The difference between blood sugar management strategies: Taubes advocates low-carbohydrate/ketogenic diets; Lustig advocates whole-food, fiber-rich diets — understanding where they agree and where they diverge
- According to Taubes, what is the mechanistic chain linking dietary carbohydrate intake to fat accumulation and insulin resistance — and what evidence does he cite to support it?
- How does Lustig define 'processed food,' and why does he argue that the food matrix (not just macronutrient content) determines a food's metabolic impact?
- Both Taubes and Lustig are critical of mainstream dietary guidelines. What specific failures do each author identify, and do their critiques overlap or contradict each other?
- What is fructose's unique metabolic pathway in the liver according to Lustig, and how does it differ from glucose metabolism in ways that make it particularly harmful at high doses?
- Where do Taubes and Lustig agree on the role of insulin resistance in chronic disease, and where do their proposed dietary solutions differ — and why might those differences matter for a beginner trying to act on this information?
- What methodological weaknesses in nutrition science do both authors highlight, and how should a reader use that skepticism when evaluating future dietary claims?
- **Side-by-side author comparison log:** As you read, keep a two-column running document — one column for Taubes's claims and evidence, one for Lustig's. After finishing both books, write a 1-page synthesis identifying their 3 biggest agreements and 3 biggest disagreements.
- **Personal food audit:** For one week, log everything you eat and categorize each item using Lustig's 'real food vs. processed food' framework AND Taubes's 'high-carb vs. low-carb' framework. Note where the two lenses give the same verdict and where they conflict.
- **Trace a single food through both frameworks:** Pick one common food (e.g., a commercial fruit yogurt, white bread, or orange juice). Write a short paragraph explaining how Taubes would evaluate it and how Lustig would evaluate it — are the conclusions the same? Why or why not?
- **Nutrition label deep-dive:** Visit a grocery store (or use an online database) and examine 10 packaged food labels. Identify added sugars, fiber content, and ingredient list length. Use Lustig's 'Hateful Eight' checklist to score each product, then reflect on what surprised you.
- **Study the insulin index vs. glycemic index:** Look up the glycemic index and insulin index for 10 common foods. Cross-reference with Taubes's argument about insulin as the key driver — do the numbers support or complicate his thesis? Write 3–5 bullet-point observations.
- **Evaluate one nutrition study:** Find one widely-reported nutrition study (e.g., a headline about red meat, sugar, or fat from the last 5 years). Apply the methodological critique tools from both Taubes and Lustig: Was it observational or randomized? Who funded it? What did the headlines claim vs. what the data actually showed?
Next up: By establishing the foundational debate over which dietary patterns drive blood sugar dysregulation and metabolic disease — and by building healthy skepticism toward nutritional research — this stage equips the reader to move into more mechanistic or clinical territory, such as understanding how the body actually measures and regulates blood glucose, what biomarkers matter, and how interventions a
Taubes synthesizes decades of nutrition research to make the evidence-based case for low-carbohydrate eating; reading it here lets the learner stress-test the insulin model from Stage 1 against real dietary data.
A pediatric endocrinologist dissects processed food, sugar, and fructose metabolism with clinical depth. Complements Taubes by focusing on the liver, fructose, and the food environment rather than just carb quantity.
Fasting, Exercise & Lifestyle Levers
Some backgroundLearn the mechanisms and evidence behind intermittent fasting, time-restricted eating, and exercise as tools for improving insulin sensitivity and metabolic health.
▸ Study plan for this stage
Pace: 6–8 weeks total: Weeks 1–4 cover "The Complete Guide to Fasting" (~25–30 pages/day, including appendices and protocol chapters); Weeks 5–8 cover "Exercised" (~20–25 pages/day, with slower reading for the evolutionary biology chapters). Reserve the final 3–4 days of each book for review and reflectio
- Insulin and glucagon dynamics: how fasting shifts the body from glucose-burning to fat-burning by lowering insulin and raising glucagon, as explained by Fung's 'two-compartment' food-energy model
- Intermittent fasting (IF) vs. extended fasting protocols: the distinctions Fung draws between 16:8, 24-hour, 36-hour, and multi-day fasts, and the clinical rationale for each
- Autophagy and cellular repair: Fung's explanation of how fasting triggers autophagy, mTOR suppression, and growth-hormone spikes as mechanisms beyond simple calorie restriction
- Fasting as an insulin-sensitizing tool: Fung's argument that repeated fasting lowers baseline insulin levels, breaks insulin resistance cycles, and is distinct in mechanism from continuous caloric restriction
- The evolutionary mismatch hypothesis: Lieberman's core argument that the human body evolved for intermittent, varied physical activity — not sedentary modern life — and why this mismatch drives metabolic disease
- Exercise type and metabolic impact: Lieberman's evidence-based breakdown of how aerobic exercise, resistance training, and NEAT (non-exercise activity thermogenesis) each contribute differently to insulin sensitivity and glucose disposal
- The 'exercise paradox': Lieberman's finding that exercise does not straightforwardly increase total energy expenditure due to compensatory reductions elsewhere, and what this means for using exercise as a metabolic lever
- Lifestyle integration — combining fasting and movement: synthesizing Fung's fasting protocols with Lieberman's activity prescriptions to build a coherent, sustainable metabolic health lifestyle
- According to Fung, why does continuous caloric restriction ultimately fail to lower insulin as effectively as intermittent fasting, and what is the hormonal mechanism that explains this difference?
- What are the key physiological changes Fung identifies that occur at the 16-hour, 24-hour, and 72-hour marks of a fast, and how do they relate to insulin sensitivity and metabolic health?
- How does Lieberman use evolutionary and anthropological evidence to challenge the assumption that vigorous, structured exercise is the 'natural' or default human state?
- What does Lieberman mean by the 'exercise paradox,' and what are the practical implications for someone relying on exercise alone to improve metabolic health or manage weight?
- How do the mechanisms Fung describes for fasting-induced insulin sensitization complement or overlap with the mechanisms Lieberman identifies for exercise-induced glucose disposal?
- Based on both books, what would a well-reasoned argument look like for combining time-restricted eating with daily low-intensity movement as a metabolic health strategy?
- **Fasting self-experiment (Weeks 1–4):** While reading Fung, attempt at least two different fasting protocols he describes — start with a 16:8 window for one week, then try one 24-hour fast. Log hunger levels, energy, and any measurable markers (e.g., fasting glucose if you have a glucometer) to ground Fung's mechanisms in personal experience.
- **Fasting journal & mechanism mapping:** After each major section of Fung's book, draw a simple diagram linking the key hormones discussed (insulin, glucagon, ghrelin, growth hormone) and annotate what happens to each during a fast of increasing length. Revise the diagram as you read further.
- **Lieberman activity audit (Weeks 5–8):** While reading 'Exercised,' track your own daily movement for one full week using a phone or wearable — categorizing activity as NEAT, aerobic exercise, or resistance training. Compare your profile to the hunter-gatherer activity patterns Lieberman describes.
- **Annotated comparison essay:** After finishing both books, write a 400–600 word synthesis answering: 'Are fasting and exercise redundant metabolic tools, or do they work through distinct and complementary pathways?' Use specific claims and evidence from both Fung and Lieberman.
- **Protocol design challenge:** Design a one-week lifestyle protocol for a hypothetical person with pre-diabetes and a sedentary desk job, drawing explicitly on Fung's recommended fasting windows and Lieberman's exercise prescriptions. Justify every choice with a page reference or mechanism from one of the two books.
- **Critical reading check:** Identify one claim in Fung's book and one claim in Lieberman's book that you find under-evidenced or potentially overstated. Write a short paragraph on each explaining your skepticism — this builds the habit of evidence evaluation needed for the next stage.
Next up: By internalizing how fasting and exercise manipulate insulin sensitivity at a mechanistic level, the reader is now equipped to critically evaluate the nutritional and dietary interventions — such as low-carbohydrate, ketogenic, or whole-food approaches — that form the logical next lever in a comprehensive metabolic health strategy.
A practical, mechanism-first guide to intermittent and extended fasting; placed here so the learner already understands insulin before diving into fasting protocols, making the 'why' immediately clear.
Harvard evolutionary biologist examines the science of physical activity and metabolism with rigorous sourcing, cutting through fitness myths and explaining exactly how movement improves glucose disposal and metabolic health.
Going Deeper: Glucose, the Gut & Personalized Metabolism
Some backgroundUnderstand individual variability in blood sugar response, the role of the microbiome, and continuous glucose monitoring insights — moving from population averages to personal biology.
▸ Study plan for this stage
Pace: 6–7 weeks total: Weeks 1–3 cover "Glucose Revolution" (~25–30 pages/day, including time to re-read the hack chapters slowly); Weeks 4–6 cover "The Good Gut" (~20–25 pages/day, with journaling pauses after each chapter); Week 7 is a synthesis and reflection week with no new reading.
- Glucose curves vs. averages — why the shape of your spike (rise, peak, crash) matters more than a single fasting number, as Inchauspé illustrates with CGM tracings
- The 'flattening the curve' framework — Inchauspé's 10 practical hacks (vinegar, clothing meals in fiber, savory breakfasts, post-meal movement, etc.) and the mechanistic reasoning behind each
- Individual glycemic variability — the core insight from CGM data that two people eating identical meals can have dramatically different glucose responses, making population-based GI tables incomplete guides
- Mitochondrial and hormonal downstream effects — how glucose spikes drive oxidative stress, glycation, cortisol/adrenaline rebounds, and hunger cycles, connecting blood sugar to energy, mood, and cravings
- The gut microbiome as a metabolic organ — Sonnenburg's argument that the trillions of microbes in the colon actively harvest energy, produce short-chain fatty acids (SCFAs), and modulate insulin sensitivity
- Dietary fiber as microbiome fuel (MACs — Microbiota-Accessible Carbohydrates) — Sonnenburg's framework for feeding microbial diversity rather than just the human host
- Microbiome–glucose axis — how microbial metabolites (especially SCFAs like butyrate and propionate) influence gut hormone secretion (GLP-1, PYY) and hepatic glucose output, linking Sonnenburg's work back to Inchauspé's observations
- Personalized nutrition as the synthesis — combining CGM feedback (Glucose Revolution) with microbiome diversity principles (The Good Gut) to build an individualized, rather than one-size-fits-all, metabolic strategy
- According to Inchauspé, why is a glucose 'spike and crash' curve more metabolically harmful than a steady elevated level, and which two hormonal cascades does she link to the post-spike crash?
- What are at least four of Inchauspé's 'glucose hacks,' and what is the shared physiological mechanism that makes each one effective at flattening the curve?
- How does CGM data challenge the traditional Glycemic Index, and what does individual variability in glucose response imply for dietary advice based on population averages?
- What are Microbiota-Accessible Carbohydrates (MACs) as defined by Sonnenburg, and why does he argue that a low-MAC diet is one of the greatest modern threats to microbiome diversity?
- Trace the pathway from dietary fiber → microbial fermentation → short-chain fatty acids → gut hormone release → improved insulin sensitivity. Which steps does Sonnenburg provide the strongest evidence for?
- How do the central arguments of 'Glucose Revolution' and 'The Good Gut' complement each other to support a personalized, rather than universal, approach to metabolic health?
- CGM or glucose-log experiment (2 weeks): Wear a consumer CGM (e.g., Libre) or use a glucometer at 30- and 60-minute post-meal intervals. Test the same meal eaten in two different orders (carbs first vs. vegetables-then-protein-then-carbs) and chart your personal curve — directly applying Inchauspé's 'food order' hack.
- Glucose hack A/B testing journal: Pick three of Inchauspé's hacks (e.g., savory breakfast, post-meal 10-minute walk, vinegar before a starchy meal) and run each for five consecutive days, logging energy, hunger, and mood at 2-hour post-meal intervals to observe your individual response pattern.
- MAC diversity tracker: Using Sonnenburg's MAC framework, audit one week of your diet and count the number of distinct plant species consumed. Then redesign the following week's meal plan to reach Sonnenburg's benchmark of 30+ different plant foods, noting any digestive or energy changes.
- Concept-mapping session: After finishing both books, draw a single one-page diagram connecting Inchauspé's glucose curve mechanics to Sonnenburg's microbiome-SCFA-gut hormone pathway. Identify at least two points where the two authors' evidence directly reinforces the same conclusion.
- Personalized protocol draft: Write a one-page 'personal metabolic hypothesis' — based on your CGM/log data and your MAC audit — stating which two interventions from the two books you predict will have the largest effect on your glucose stability, and why, citing specific passages from each book.
- Critical reading exercise: Find one claim in each book that relies on observational or animal data rather than human RCTs. Write a short paragraph for each assessing the strength of the evidence and what kind of study would be needed to confirm it.
Next up: By grounding metabolic health in personal glucose curves (Inchauspé) and microbiome individuality (Sonnenburg), this stage equips the reader to critically evaluate clinical and epidemiological research — the exact skill needed to engage with more advanced literature on metabolic disease, therapeutic nutrition, and precision medicine in the next stage.
Translates continuous glucose monitor data into actionable, evidence-linked insights about meal sequencing and blood sugar spikes; bridges the gap between population research and individual response.
Stanford microbiome researchers explain how gut bacteria influence glucose metabolism and insulin sensitivity — an essential layer of complexity once the learner has mastered the hormonal fundamentals.
Advanced: Reading the Science Yourself
Going deepDevelop the scientific literacy to read primary research, evaluate nutrition studies critically, and stop relying on any single authority — including the authors in this curriculum.
▸ Study plan for this stage
Pace: 8–10 weeks total: Weeks 1–5 for "Good Calories, Bad Calories" (~30–35 pages/day, including notes), Weeks 6–10 for "Outlive" (~25–30 pages/day with deeper annotation on cited studies). Reserve the final 3–4 days of each book for review, synthesis, and exercise completion.
- The Dietary Fat–Heart Disease hypothesis: how Taubes reconstructs the epidemiological and political history of how weak evidence became dogma, and what that reveals about science communication failures
- Carbohydrate–insulin model of obesity and metabolic disease: Taubes's mechanistic argument that refined carbohydrates and sugar drive insulin dysregulation, fat storage, and chronic disease — and how to evaluate the strength of that causal claim
- Distinguishing study designs: understanding why Taubes leans on controlled metabolic ward studies over epidemiological surveys, and how to apply that hierarchy yourself to any nutrition claim
- Attia's 'Medicine 3.0' framework: shifting from reactive, disease-treatment medicine to proactive, longevity-optimized medicine — and how metabolic health sits at the center of that shift
- The 'four horsemen' of chronic disease (cardiovascular disease, cancer, neurodegenerative disease, type 2 diabetes/metabolic syndrome) as framed by Attia, and the shared metabolic roots connecting them
- Biomarker literacy: Attia's detailed treatment of which lab values actually matter (ApoB, fasting insulin, OGTT, CGM patterns, VO2 max, DEOR) versus which are conventional but insufficient (LDL-C alone, BMI)
- Tactics vs. strategy in longevity: Attia's 'Centenarian Decathlon' concept and how exercise, nutrition, sleep, and emotional health interact — learning to read his cited evidence rather than just accepting his conclusions
- Critical appraisal skills synthesized across both books: identifying conflicts of interest, funding sources, effect sizes vs. statistical significance, surrogate endpoints, and the difference between association and causation
- After reading Taubes, can you explain in your own words why he argues that the low-fat dietary guidelines were adopted despite insufficient evidence — and can you identify at least two methodological weaknesses in the studies he critiques?
- Taubes makes a mechanistic case for the carbohydrate–insulin model. What is the strongest evidence he presents, and what is the most significant counter-argument or gap he does not fully address?
- Attia introduces ApoB as a superior cardiovascular risk marker compared to standard LDL-C. What is his reasoning, and what type of study would you look for to evaluate whether that claim is well-supported?
- Both Taubes and Attia challenge mainstream nutritional consensus, but they use different rhetorical and evidentiary styles. How does each author handle uncertainty, and which approach do you find more scientifically rigorous — and why?
- Attia describes VO2 max and muscle mass as among the most powerful predictors of longevity. What is the nature of the evidence he cites (observational, interventional, mechanistic), and what does that tell you about how confidently you should act on it?
- Having read both books, can you identify one claim from each author that you would want to verify independently — and describe exactly what kind of primary source (RCT, meta-analysis, mechanistic study) you would search for to do so?
- Source-tracing drill (Taubes): Choose any 3 specific scientific claims Taubes makes in 'Good Calories, Bad Calories' that include a named study or researcher. Look up the original papers via PubMed or Google Scholar. Write a one-paragraph assessment of whether Taubes's characterization of each study is accurate, overstated, or understated.
- Claim audit (Attia): Select one chapter from 'Outlive' that covers a topic you find most personally relevant (e.g., cardiovascular risk, cancer screening, or exercise). List every empirical claim Attia makes, note whether he cites a source, and for the top 3 cited sources, read the abstract and note the study design, sample size, and effect size.
- Competing narrative exercise: Write a 1–2 page 'steel-man' of the mainstream dietary guidelines position that Taubes argues against. Use only evidence Taubes himself acknowledges exists. This forces you to see the genuine scientific debate rather than a one-sided takedown.
- Biomarker personal audit: Using Attia's framework, list every metabolic biomarker he recommends tracking. Research which of these your own doctor currently orders, which require a specific request, and which require out-of-pocket testing. Draft a list of questions to bring to your next medical appointment.
- Study design classification log: As you read both books, keep a running log of every study mentioned. For each, record: study type (RCT, cohort, case-control, mechanistic, etc.), sample size if given, duration, and the conclusion drawn. At the end, tally what proportion of each author's argument rests on each study type — this reveals the evidentiary foundation of their worldviews.
- Synthesis essay: After finishing both books, write a 2–3 page essay titled 'Where Taubes and Attia agree, where they diverge, and what I still don't know.' Focus on metabolic health and blood sugar specifically. Identify at least one open scientific question that neither book resolves, and describe how you would begin to research it yourself.
Next up: By learning to trace claims back to primary sources through Taubes's historical forensics and Attia's clinical framework, the reader is now equipped to move beyond curated curricula entirely — reading and evaluating original research papers, systematic reviews, and emerging science on metabolic health without needing an intermediary authority to interpret them.
Taubes's landmark deep-dive into a century of nutrition and metabolism research; now that the learner has the conceptual foundation, this book teaches how to interrogate study design, funding bias, and scientific consensus.
A physician-scientist synthesizes longevity medicine — including metabolic health, insulin, and atherosclerosis — with explicit attention to evidence quality and uncertainty, modeling exactly the critical thinking this curriculum aims to build.