Attia's tighter-than-standard lab reference ranges: triglycerides below 100 (not 150), LDL-P below 1,000 nmol/L, fasting glucose below 90, fasting insulin below 6, small LDL-P below 500 — 'being average on the most ubiquitous cause of death is backwards mathematics.'
2
Ketosis and fasting suppress FSH and LH in women but NOT in men — a conserved evolutionary circuit that halts reproduction during famine — making aggressive fasting protocols a nuanced call for any woman trying to conceive.
3
Oral NR and NMN cannot be taken up by any cell except the liver, so the only plausible route to raise intracellular NAD is intravenous precursor delivery — Attia calls oral supplementation 'enriching the companies that make those things.'
4
The CGM is Attia's single most powerful behavioral tool: real-time glucose feedback stopped him from eating a cookie on a plane and lets him calibrate the offset between fasting and indulgence in a way no A1c can replicate.
Protocols
Concrete recipes — what, when, how much, and why
7 items
OGTT with insulin levels at 1 and 2 hours — Attia's tighter targets
WhatRun a 75-gram oral glucose tolerance test and measure both glucose AND insulin at fasting, 1 hour, and 2 hours. Aim for: fasting glucose below 90, fasting insulin below 6; at 1 hour glucose below 120-130 for a muscular male; at 2 hours glucose back below 100 and insulin ideally below 20.
WhenAt baseline with any new patient and annually, especially in those with metabolic concerns. Strongly preferred over HbA1c.
Dose75g glucose challenge, with blood draws at 0, 60, and 120 minutes.
For whomAll patients; especially those in whom standard A1c reads normal but metabolic syndrome is clinically suspected.
WhyHbA1c only reflects average glucose and assumes red blood cells live exactly 90-120 days; both assumptions fail in many patients. The OGTT with insulin gives a dynamic picture of insulin response. CGM data consistently reveals A1c is unreliable for individual patients.
CaveatsReference ranges for the 1-hour insulin must account for lean mass — a highly muscular male can tolerate glucose up to 120-130 without the same insulin alarm that would apply to a smaller individual or woman.
Attia notes that the HbA1c was designed to diagnose type-2 diabetes, not to optimize metabolic health. It cannot detect glucose variability — two patients can have the same average glucose with standard deviations of 10 vs. 30, yielding vastly different insulin exposure profiles that the A1c conflates. His own beta-thalassemia trait makes his A1c read 5.6-6.0 (pre-diabetic range) while his CGM-imputed A1c equivalent is 4.5-5.0, illustrating the unreliability dramatically.
I generally like to see the fasting glucose below 90 milligrams per deciliter, the fasting insulin below six, and at one hour following a 75 gram Glu Cola challenge for a reasonably muscular male I'd like to see the glucose below 120 or maybe at a max 130 milligrams per deciliter and the insulin below 20 or 30.
Continuous glucose monitor as a behavioral and metabolic feedback tool
WhatWear a CGM (Dexcom G6) continuously to monitor real-time glucose, average glucose, and glucose standard deviation. Use the data to calibrate food choices, meal timing, exercise offsets, and alcohol tolerance.
WhenContinuously; ideally every patient who is serious about metabolic optimization should do at least a 2-month continuous wear.
DoseContinuous wear; pull 7-day, 14-day, 30-day, and 90-day average reports with standard deviations.
For whomAny patient motivated to understand their metabolic response to food, exercise, stress, alcohol, and sleep.
WhyHumans require feedback to change behavior. A CGM provides real-time feedback that the brain can use to avoid glucose-spiking foods the way a tachometer tells a race car driver when to shift gears. A1c is a single lagging average; CGM delivers both the mean AND the variability.
CaveatsThe Dexcom G6 is an FDA-approved medical device requiring a prescription. Consumer devices that omit real-time data or reduce accuracy may lose the behavioral feedback value.
Attia describes the CGM as the single tool that stopped him eating a cookie on an airplane because he knew he would face the data afterward. The behavioral mechanism is internal competitiveness: he is more driven by not wanting to see a spike than by long-term disease prevention. He also uses CGM data to empirically calibrate personal rules: one drink is tolerable, two is a brick over the head; eating close to bedtime tanks both resting heart rate and HRV as measured by Oura ring.
Mechanism
Low glucose variability is a proxy for low average insulin exposure; high insulin over time drives insulin resistance, metabolic syndrome, and downstream atherosclerosis risk.
Personal experience
Attia: 'There is no more powerful behavioral tool for me than my CGM because in the end I'm kind of a competitive person internally and I just can't stand to see spikes of glucose. It just drives me nuts.'
There is no more powerful behavioral tool for me than my CGM because in the end I'm kind of a competitive person internally and I just can't stand to see spikes of glucose.
Also said
“You could have an average glucose of 85, 95, whatever with a standard deviation of 10 which is very low variability or you could have the same glucose level with a standard deviation of 30 — and those are very different insulin profiles.”— Why glucose variability matters independently of the mean — the mechanism that makes CGM superior to A1c.
Low-dose lithium (10-20 mg/day OTC) for mood stabilization
WhatAfter a year at 600 mg/day (with close medical supervision and frequent serum level monitoring), Attia settled on 10-20 mg/day of OTC lithium orotate as a 'probably not harmful, uncertain benefit' intervention based on groundwater epidemiology data.
WhenDaily supplement.
Dose10-20 mg/day OTC lithium orotate. The 600 mg/day experiment was under strict medical supervision — explicitly NOT to be replicated without equivalent oversight.
For whomAdults with emotionally volatile baseline moods. The 600 mg/day protocol is only for patients under direct psychiatric supervision.
WhyThe groundwater lithium / mental health epidemiological correlation is what Attia calls 'tier two epidemiology' — the exposure variable is not subject to healthy-user bias. At 10-20 mg/day the safety profile is that of a micromineral supplement.
CaveatsAt 600 mg/day, toxicity is a real risk: early signs are nausea, but toxic serum levels can be reached with time-zone compression. OTC 10-20 mg avoids this. Attia's explicit warning: 'if you were not under the care of a physician who is super dialed in on how to measure lithium levels, doing this is tantamount to suicide at therapeutic doses.'
During the year-long 600 mg/day experiment, the first person to notice a change was Attia's wife — she remarked about four months in that something was different. Her observation: decreased emotional volatility. Attia later concluded the change may be largely explained by meditation and self-awareness added afterward, given confounders. The OTC dose is meant to replicate naturally occurring groundwater lithium concentrations, not produce a pharmacological effect.
Mechanism
Lithium at therapeutic doses modulates serotonin and noradrenaline pathways and inhibits GSK-3 beta; at OTC doses the mechanism is speculative.
Personal experience
Attia: 'My wife said something's different in you — she said you're less of an asshole.' He stopped the high-dose protocol due to GI sensitivity to dose compression during eastward transatlantic flights.
You're not gonna have side effects at ten milligrams. It's like picking up a dollar in front of a tricycle — at the end of the day, hey, it's a dollar more than I had before.
Berberine (500-1000 mg twice daily) as targeted PCSK9 inhibitor in high-LDL patients
WhatTrial berberine at OTC doses in patients with high LDL-P who have markers suggesting elevated PCSK9 expression — specifically, elevated LDL despite low synthesis markers (desmosterol) and low absorption markers (phytosterols), suggesting impaired LDL receptor clearance.
WhenAfter ruling out synthesis-driven or absorption-driven high LDL. Trial before or alongside statin therapy to assess response.
Dose500 mg or 1,000 mg twice daily. Change no other variables; reassess LDL-P at 6-8 weeks.
For whomPatients with high LDL-P despite dietary optimization, low synthesis markers, and no elevation in absorption markers — pointing to a clearance defect.
WhyBerberine is a weak PCSK9 inhibitor. In the approximately 5% of high-LDL patients who over-express PCSK9 (leading to LDL receptor degradation), berberine can substantially reduce LDL.
CaveatsBerberine is unregulated OTC; batch inconsistency is real. Attia uses Thorne brand. He does NOT use berberine primarily for AMPK activation — he prefers metformin for that indication. The PCSK9 effect is his only reason to keep berberine in the toolkit.
Attia frames it as empirical trial: rather than testing for PCSK9 over-expression directly, he simply trials berberine for 6-8 weeks and watches for response. Patients with the PCSK9-driven phenotype occasionally show dramatic LDL-P reductions. Regarding the AMPK benefit: 'I prefer to just use metformin if we're going to go down that path — pharmacologically with potent drugs that we understand, that are consistent from batch to batch.'
Every once in a while you look like a rock star — you get this patient whose LDL is really high and they clearly have defective LDL clearance, maybe they overexpress PCSK9. You hit them with berberine and all of a sudden everything's fixed.
Thyroid panel beyond TSH: free T3 + reverse T3 thresholds
WhatRun TSH, free T3, and reverse T3. Working thresholds: TSH 0.5-2.0, free T3 above 3.0 pg/mL, reverse T3 below 12 pg/mL. Outside these bounds, even a normal TSH may indicate functionally impaired peripheral thyroid metabolism.
WhenBaseline with every new patient and whenever patients complain of fatigue, cold intolerance, or low energy — especially post-partum women.
For whomWomen with 3+ prior pregnancies who have persistent fatigue with normal TSH; anyone suspected of tissue-level hypothyroidism despite adequate pituitary signaling.
WhyTSH reflects pituitary deiodinase conversion of T4 to T3 inside the hypothalamic-pituitary axis, not peripheral tissue. A patient can have a normal TSH while having low peripheral T3 due to impaired D1/D3 deiodinase activity. Reverse T3 directly competes with T3 at receptors and is elevated by physiologic stress or repetitive pregnancy.
Attia's practical pattern: post-partum women with TSH around 2.0, free T3 slightly below 3.0, reverse T3 just above 12, presenting with fatigue dismissed as post-partum adjustment. Brief thyroid support normalizes the panel and the symptoms in weeks. He does NOT advocate thyroid supplementation in patients with a genuinely normal full panel.
If someone's TSH is between about 0.5 and 2.0, and their free T3 is above 3.0, and their reverse T3 is below 12, I find it very hard to see how they could have hypothyroidism regardless of the symptoms they have.
HRV + Oura Ring readiness as decision input for training load
WhatUse morning readiness score from the Oura ring (which incorporates HRV, resting heart rate, respiratory rate, and temperature) as one input to decide whether to push hard in training that day.
WhenEvery morning before planning the day's training; particularly useful after two consecutive hard aerobic sessions, during travel, or at first sign of illness.
For whomAthletes and anyone trying to avoid overtraining; patients in whom illness early-warning is important.
WhyHRV (measured via RMSSD algorithm) reflects the balance of parasympathetic versus sympathetic tone. High HRV equals recovered state. Alcohol and carbohydrate-heavy meals close to bedtime acutely suppress HRV and raise resting heart rate in a measurable, non-subtle way.
CaveatsThe Oura ring is sensitive to aerobic load but less so to strength training load — it cannot reliably distinguish severe strength training from light hotel gym work.
Attia originally used a First Beat chest-strap EKG device with proprietary HRV algorithm before consumer rings existed. He had patients wear the device 72 hours continuously. The compliance problem with chest straps — skin irritation, mail-in data delays — made the Oura ring a practical upgrade. He cross-references CGM data with Oura overnight HRV to derive personal behavioral rules about alcohol, meal timing, and room temperature.
Personal experience
Attia: 'Alcohol and shitty food close to bedtime will absolutely tank my resting heart rate — will drive it way up and will drive my heart rate variability down. And it's not subtle — it's not like well that's on the edge. No no no.'
Alcohol and shitty food close to bedtime will absolutely tank my resting heart rate — will drive it way up and will drive my heart rate variability down. And it's not subtle.
Low-dose atorvastatin + ezetimibe as minimum effective dose lipid protocol
What10 mg atorvastatin three times per week (30 mg total per week) plus 10 mg ezetimibe daily. The statin reduces hepatic cholesterol synthesis; ezetimibe blocks intestinal absorption.
WhenIn patients with elevated phytosterols (high absorbers) plus elevated LDL-P and cardiovascular risk factors.
DoseAtorvastatin 10 mg three times per week; ezetimibe 10 mg daily. Reassess LDL-P at 6-8 weeks.
For whomPatients with strong family history of cardiovascular disease and elevated LDL-P, particularly high absorbers.
WhyCholesterol management requires understanding whether the patient is primarily a synthesizer or absorber — measured via desmosterol (synthesis marker) and phytosterols/stanols (absorption markers). Elevated phytosterols indicate high intestinal absorption, making ezetimibe particularly useful. A minimum effective dose strategy reduces side-effect risk.
CaveatsDesmosterol should not drop below 0.5 — Attia uses it as a guard against over-suppressing cholesterol synthesis. His regimen was in flux at time of recording. 30 mg atorvastatin per week is 'almost placebo dose' relative to the maximum of 80 mg daily.
Mechanism
Statins inhibit HMG-CoA reductase (synthesis in liver); ezetimibe inhibits NPC1L1 in intestinal brush border (absorption). Combined, they attack both inputs to circulating LDL-P.
Taking ten of lipitor three times a week coupled with ezetimibe was actually able to get me to below the 20th percentile — typically to the 10th or 15th percentile. And 30 milligrams of atorvastatin a week is almost placebo dose when you consider what the drug can be given at — 80 milligrams daily.
What's new
Personal practice updates, fresh positions, predictions
6 items
Oral NR / NMN cannot raise intracellular NAD outside the liver
~3 h 00 min
A Cell Metabolism paper from Josh Rabinowitz's lab used isotope tracers to show that when NR or NMN is taken orally, only liver cells can import and convert it to NAD; no other cell in the body can take up these precursors. Attia concluded oral supplementation is functionally useless and that IV delivery is the only currently plausible route to raising cellular NAD in peripheral tissues.
Why this matters: Directly contradicts the commercial narrative behind major NR/NMN supplement brands and NAD-infusion clinics, and challenges David Sinclair's high-profile advocacy for oral supplementation.
Background
Attia had interviewed Sinclair about sirtuins and NAD a week before this AMA; the Rabinowitz paper arrived afterward and changed his assessment.
The tracer study tracked all intermediaries of NAD and its precursors in vivo. Attia emailed Rabinowitz the day before this recording and received confirmation of his reading: cells form NAD entirely in the cytoplasm and import it as intact NAD into mitochondria — and the transporter for NR/NMN at the cell membrane is simply absent in non-hepatic tissues. The popular pterostilbene-NR combination product (Basis) would not change this, as pterostilbene modulates sirtuin activity, not the NR uptake problem. NAD infusion clinics are 'quackery' on the same logic: extracellular NAD is not taken up by cells.
I am completely unconvinced that taking supplemental NR or even NMN by mouth is doing anything other than enriching the companies that make those things.
Also said
“When you gave oral NR or NMN the two popular precursors only the liver could take them up and make NAD... no other cell in the body could take it up.”— The mechanistic finding that underlies the entire dismissal of oral NAD precursors.
Ketosis suppresses female (but not male) reproductive hormones via FGF21
~1 h 20 min
Research from David Mangelsdorf's lab at UT Southwestern showed that in a calorie-restricted, high-ketone state, FGF21 selectively suppresses FSH and LH in the female pituitary but has no equivalent effect in men. Attia frames this as a deeply conserved evolutionary mechanism: during famine, you want women to stop reproducing; you want men to remain able to hunt.
Why this matters: Provides a mechanistic explanation for why prolonged fasting or nutritional ketosis may impair fertility in women — and why the same intervention is metabolically neutral for male reproductive hormones.
Background
Attia's position on keto for women had long been more cautious than for men; the Mangelsdorf FGF21 data gave him a biological explanation he could trace to pituitary portal circulation.
The pituitary is one of only two tissues in the body with portal circulation (the liver being the other), giving it direct chemical access to the hypothalamus. In a fasted or ketotic state, circulating FGF21 rises and reaches pituitary receptors through this portal route, then signals down to suppress gonadotropins specifically in the female. Attia is careful to clarify this is about optimization, not absolute impossibility: 'Obviously it's possible, I mean I'm not suggesting it's not — but we're talking about optimization.' He extends the caveat to pregnancy: he is agnostic about whether ketosis during pregnancy is optimal, noting ancestral exposure does not by itself confer optimality.
In a calorie restricted state when ketones are elevated it suppresses FSH and LH in women but not in men — this is super interesting to me.
Also said
“You would want women to stop reproducing, you would want to shut off FSH and LH, you would want men to have no impairment on their testosterone level — that's all the more time that they should be out there unable to get food.”— Attia's evolutionary interpretation of the FGF21 sex difference.
Attia's tighter-than-standard reference ranges across 10+ biomarkers
~00 min
Attia walks through his personal clinical floors: triglycerides below 100 mg/dL (vs. standard <150), LDL-P below 1,000 nmol/L (vs. median ~1,200), small LDL-P below 500, oxidized LDL below 40 (vs. lab's <60 cutoff), hsCRP below 1.0 (vs. standard <2.0), uric acid below 5.0 (vs. <6.0 or 7.0), ALT and AST both below 20 (vs. lab upper limits of 40-44), and fasting glucose below 90 with fasting insulin below 6.
Why this matters: He explicitly rejects population-based reference ranges as 'geared toward the average sick person' and builds his own standards around physiological optimums, not statistical norms.
Background
A popular listener question from the AMA blog asked which standard reference ranges Attia considers 'too soft.'
The philosophical core of this answer is that reference ranges reflect where a population actually is, not where it should be. Attia uses the rower height analogy: the reference range for male height is correct statistically, but a competitive heavyweight rower should be 6'2"-6'4" regardless of the population average. Applied to cardiovascular risk: 'heart disease and atherosclerosis are the most ubiquitous causes of death, so to be average on the disease that is the most common strikes me as just backwards mathematics.' He also notes that most labs use two-standard-deviation distributions based on a population that includes two-thirds overweight or obese adults, so 'normal' already encodes excess disease.
I basically just disregard all the reference ranges when I look at labs and I kind of have my own set of standards that are based on my belief system around what should and shouldn't be the case physiologically.
Also said
“To be average on the disease that is the most common strikes me as just backwards mathematics — so you really do need some alpha when it comes to a metric like that.”— The core reasoning for why Attia targets the 20th percentile of LDL-P rather than the median.
IGF-1 cycling (not chronically low) is Attia's updated view
~47 min
Attia reversed a prior belief that low IGF-1 is always preferable. He now favors deliberate cycling between high and low states — fasting driving IGF-1 to the 5th-10th percentile, re-feeding rebounding it toward the 60th-80th percentile — rather than chronically suppressed levels. He suspects the 'rejuvenation' signal in Valter Longo's FMD protocols occurs during the rebound, not the trough.
Why this matters: Directly challenges the low-IGF-is-always-better narrative popularized by Longo; positions IGF as a dynamic signal rather than a static risk factor to minimize.
The three main drivers of IGF-1 are amino acid intake (especially methionine), insulin levels (indirectly via binding proteins), and exogenous GH use. Attia notes that because IGF-1 is stable relative to GH (which changes within minutes of a sauna), it provides a meaningful signal of cumulative growth-factor environment. His updated target: a 'snapshot' read between the 60th and 80th percentile in re-fed state, with deliberate periodic drops via fasting.
I really think that IGF should be cycled between high and low — I've really switched my tune and become a little more liberal in what I like to see.
Baby aspirin benefit largely disappears in low-risk populations — new RCT data
~2 h 15 min
A large RCT published approximately three weeks before this AMA showed that in low-risk healthy populations, the absolute benefit of baby aspirin was so small that risk and benefit were essentially a wash. Attia updated his practice: he will be 'a little less interested' in giving aspirin to otherwise low-risk patients, but continues taking it himself due to strong family history of heart disease plus a positive Aspirin Works urine test.
Why this matters: Illustrates Attia's approach to evidence-based recalibration in real time, and quantifies the absolute-risk vs. relative-risk distinction he emphasizes throughout the AMA.
Background
Attia's prior practice had been: give baby aspirin if Aspirin Works (urinary thromboxane metabolite test) is elevated AND at least one additional cardiovascular risk factor is present.
Aspirin Works is a urine-based test measuring metabolites of platelet activation; a high result predicts responsiveness to aspirin's platelet-inhibiting effect. Attia's personal stack at time of recording: enteric-coated 81 mg aspirin daily, justified by positive Aspirin Works test plus strong family history of heart disease (even with normal LP(a) and normal LP-PLA2). The anti-platelet mechanism is primary; anti-inflammatory effect is secondary and smaller. Separately: aspirin on long flights was common clinical advice, but Attia's research team found the data did not support it — low-molecular-weight heparin (injectable) is the only option with meaningful evidence.
That study found the risk of taking a baby aspirin was very small, which we always knew, but the benefit was also very very small such that it was pretty much a wash.
Multiple pregnancies may permanently alter thyroid metabolism via HPA axis
~1 h 10 min
Attia describes a clinical pattern he has observed — women with three or four pregnancies whose thyroid function never fully normalizes afterward. TSH may read 'normal,' but peripheral T4 to T3 conversion is altered. He suspects multiple gestational stresses progressively shift the HPA axis in ways the standard TSH-based workup misses.
Why this matters: A largely undocumented clinical observation that points to gaps in women's health research and explains why some post-partum energy complaints fall through diagnostic cracks.
Attia notes these patients are 'kind of the easiest saves' — if you look beyond TSH to free T3 and reverse T3, the picture becomes clear and targeted thyroid support resolves their fatigue rapidly. He distinguishes this from primary hypothyroidism. The mechanism he suspects involves repeated cortisol surges during labor and the postpartum period perturbing the HPT axis. He uses the Oura ring metaphor of a slowly warming pot of water to describe how women experiencing gradual decline in thyroid function post-pregnancy often do not notice how impaired they have become.
Usually if a woman has had three or four kids the likelihood that her thyroid bounces back to normal seems not that high.
Recommendations
Products, supplements, and tools mentioned in the episode
4 items
Dexcom G6 continuous glucose monitor
Tool
Attia calls the CGM one of only two wearables sticky enough that he cannot stop wearing them (the other being the Oura ring). The G6 provides real-time glucose at plus or minus 2-3% accuracy that he uses as a behavioral feedback tool and proxy for insulin exposure.
At time of recording, Dexcom G6 was an FDA-approved medical device requiring a prescription. Attia's vision: in ten years, CGM data should replace A1c entirely in metabolic assessments, including life insurance exams. The key feature he values is real-time data — not the trend, but the live number that changes behavior in the moment.
It's hard for me to imagine I used to not know my glucose in real-time. I could not drive a racecar without seeing my RPM tach — there's simply no way I could drive it half as well as when I know exactly where I'm shifting at every moment.
Oura Ring for HRV, resting heart rate, and sleep tracking
Tool
Alongside the CGM, Attia describes the Oura ring as the other wearable he cannot stop using. He uses the readiness score as one input to training decisions and tracks how alcohol, late meals, room temperature, and exercise load affect his overnight autonomic data.
Attia's approach is empirical: he treats his own body as an n-of-1 experiment, using Oura overnight data to quantify the effects of interventions. His finding that alcohol and heavy meals before bed non-subtly tank HRV and raise resting heart rate has hardened into behavioral rules. During his 7-day fast, deep sleep (stages 3-4) increased substantially, light sleep decreased, and respiratory rate dropped.
Personal experience
Attia: 'A month ago I forgot to put it back on my finger when I went to bed. I woke up the next morning and realized I didn't have the data. I was so pissed.'
You can figure out your optimal state. I like a room to be as cold as is humanly possible — if I don't get under the covers and feel incredibly uncomfortable I'm going to be too hot. That might be not at all your standard.
Attia targets an Omega-3 Index (EPA+DHA as percentage of red blood cell membrane) above 8.5%, ideally toward 10-12% in most patients. He prefers Carlson's or Nordic Naturals for OTC fish oil quality; pharmaceutical-grade fish oil is available for patients who need prescription-level dosing.
The choice between EPA-dominant and DHA-dominant products depends on clinical priority: DHA is more important for neurodegenerative prevention; EPA is more important for atherosclerosis and cardiovascular disease. Attia prefers to target the total Omega-3 Index first, then consider the EPA-DHA ratio based on the patient's dominant risk axis.
vs alternatives
Pharmaceutical-grade EPA (Vascepa/icosapentaenoic acid) has robust cardiovascular endpoint data at 4g/day but is purely EPA; for patients where the dominant concern is neurodegeneration rather than cardiovascular, the DHA fraction in conventional fish oil may be preferable.
I like to see the EPA DHA index above about 8.5%. I used to think anything above 8% was ideal. Frankly now I'll let patients up to ten and even sometimes 12% if they're not having any issues like nosebleeds.
Pure Encapsulations and Jarrow as preferred supplement brands
Supplement
Attia flags the supplement industry as a 'complete shit-show' due to lack of regulation and batch inconsistency. For most supplements he defaults to Pure Encapsulations and Jarrow as the brands most likely to contain what is on the label. For berberine specifically, he uses Thorne.
The practical consequence of supplement industry under-regulation: a product labeled 500 mg branched-chain amino acids may contain zero. Attia has tested multiple BCAA brands and found most do not deliver as labeled. The preferred brands have third-party testing or a long track record of quality control. This is one reason he often prefers pharmaceutical agents over supplements when a pharmacological equivalent exists.
Pure Encapsulations, Jarrow — those are probably the two companies that I would be my go-to for virtually anything. For EPA DHA it's Carlson's or Nordic Naturals.
Lines worth pulling out — contrarian, specific, or perfectly phrased
6 items
I am completely unconvinced that taking supplemental NR or even NMN by mouth is doing anything other than enriching the companies that make those things.
Attia's bluntest dismissal of one of the most commercially hyped longevity supplement categories, backed by a Cell Metabolism tracer study.
Heart disease and atherosclerosis are the most ubiquitous causes of death — so to be average on the disease that is the most common strikes me as just backwards mathematics.
The core philosophy behind all of Attia's tighter-than-standard reference ranges; reframes 'normal' as an optimization target, not a safety standard.
In a calorie restricted state when ketones are elevated it suppresses FSH and LH in women but not in men — this is super interesting to me and it hasn't — it has a profound evolutionary implication.
The key mechanistic finding about sex-differentiated effects of ketosis on reproductive hormones.
There is no more powerful behavioral tool for me than my CGM because in the end I'm kind of a competitive person internally and I just can't stand to see spikes of glucose.
The best single-line summary of why wearable real-time feedback works when willpower fails.
I've largely discounted hemoglobin A1c in an absolute sense as a meaningful number — I think it's directionally tolerable but mostly flawed. The A1c is really at the mercy of its most important assumption which is a red blood cell lives for 90 to 120 days.
Attia's strongest critique of the most commonly used diabetes screening tool, illustrated by his own beta-thalassemia trait driving a falsely elevated A1c.
Doctors that completely disregard menopausal, perimenopausal, and post-menopausal symptoms — who without having ever even read a single study, come to the conclusion that no woman should ever take hormones — that is definitely top five pet peeves.
Attia's sharpest clinical indictment of the post-WHI overcorrection against hormone replacement therapy.
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Educational summary of the cited expert source — not medical advice. Open the source recording linked above and consult a qualified physician before acting on any protocol.