The Broken Science Initiative https://brokenscience.org/ The Broken Science Initiative Wed, 11 Mar 2026 13:01:02 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.1 https://brokenscience.org/wp-content/uploads/2024/11/cropped-newLogo-32x32.png The Broken Science Initiative https://brokenscience.org/ 32 32 GLP-1RAs vs LCKD? https://brokenscience.org/glp-1ras-vs-lckd/ https://brokenscience.org/glp-1ras-vs-lckd/#respond Wed, 11 Mar 2026 13:01:02 +0000 https://brokenscience.org/?p=23456 How a Low-Carb Ketogenic Diet Naturally Activates the Same Pathways

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The shiny new darlings of Big Pharma are the GLP-1 RAs, drugs such as Ozempic, Wegovy, and Mounjaro that were originally designed to improve blood glucose control in type 2 diabetic patients, but were serendipitously discovered to cause weight loss in diabetics and non-diabetics. Now, it seems every day brings some new malady that *might* be solved by taking a GLP-1RA.

Here’s a partial list, generated by AI, of all the purported *possible* benefits supported by research, currently being investigated, or under consideration to be:

Type 2 diabetes mellitus, obesity and overweight with comorbidities, prediabetes and diabetes prevention, metabolic syndrome, insulin resistance, polycystic ovary disease, fatty liver, renal diseases, kidney stones, cardiovascular disease, heart failure, hypertension, dyslipidemia, chronic kidney disease, obesity‑related liver enlargement and liver enzyme elevation, post‑bariatric surgery weight regain, obstructive sleep apnea, asthma, shortness of breath of severe obesity, infertility associated with obesity/PCOS, low sex hormones linked to obesity and insulin resistance (men and women), osteoporosis, psoriasis and other dermatologic conditions, rheumatoid arthritis, gout, neurodegenerative disorders (Parkinson’s, Alzheimer’s, and other dementias), epilepsy, chronic pain syndrome, migraine, depression, addictive behaviors, substance abuse and eating disorders, and finally cancers of several types.

Some of these benefits are already pretty convincingly validated in RCTs—diabetes improvement and weight loss, for instance—while others are still in the tenuous or preliminary stages.

Case in point: the last mentioned—cancer. A recent article appeared in Cure (a website devoted to issues dealing with cancer) with the following headline: GLP-1 Associated With Colorectal Cancer Prevention, Research Finds.

The article detailed observational research, presented at the 2026 American Society of Clinical Oncology Gastrointestinal Cancers Symposium and published this month in the Journal of Clinical Oncology, comparing the use of GLP-1 RAs to aspirin for prevention of colorectal cancer (CRC), with a primary endpoint of the development of CRC and a secondary endpoint development of adverse events associated with either therapy.

From the jump, this is only an observational study, and as such it cannot on its own impute causality. And to be fair, they say that up front in the title: GLP-1 associated with…prevention. A good weasel word to be sure, but unfortunately one most of the public and journalists will ignore.

So the careful reader will see right away there’s no green light here for pulling out the GLP-1RA syringes to combat colon cancer based on this data, but it might suggest hypotheses that could later be investigated with a more rigorous trial. Let’s see if there’s anything robust here.

The study subjects’ data were drawn from a 150-million-patient multicenter database (TrinetX), and the design excluded those subjects who had taken any other form of NSAID besides aspirin over a given period, any other form of diabetic medication apart from a GLP-1RA, or who had reached a primary or secondary endpoint before the study window, which was the 6 months after their first documented use of the therapy (either aspirin or GLP-1RA). These eliminations resulted in two cohorts of approximately 140,000 subjects each, comprised overwhelmingly of middle-aged participants (mean age 58), who were white (67%) and women (69%), who were matched between the cohorts using propensity scoring.

Their conclusions (and the headline that kicked this discussion off) are prime examples of inflating a minuscule, might-possibly-be-an effect into something that, in the headline, sounds like a major news story about a big medical breakthrough.

First, their conclusions:

“GLP-1RAs were associated with a 26% relative reduction in CRC incidence compared to aspirin. These results along with the favorable safety profile of GLP-1RAs could underscore a potential public health impact and warrant prospective validation in randomized clinical trials.”

Wow! Twenty-six percent! That sounds amazing, doesn’t it? But just a quick look beyond the headline and the conclusion tells a different story.

“CRC incidence was 0.13% (183/140,758) in GLP-1RA users vs 0.176% (247/140,692) in aspirin users, yielding an ARR of 0.0455% and NNT of 2,198.”

So the bottom line is that after they ended their study and crunched the numbers, the difference between the GLP-1RA users’ incidence of developing CRC and that of the aspirin users was a mere 64 cases out of 281,000 patients.

If my math is correct, it’s 0.23 cases per 1,000 more or less. That’s about one-fifth of a case per 1,000 people treated. A very weak association. Truly negligible and practically not worth mentioning. (Unless you make GLP-1RAs, that is.)

In which case, you can massage the numbers with a little sleight of statistical hand to show that the 247 cases of CRC in the aspirin group versus the 183 in the GLP-1RA group represents a 26% relative reduction in cancer incidence, but that’s spurious. It’s a relative risk difference, not an absolute risk difference. It has an average risk reduction of 0.0455% with a large number needed to treat. Which sounds a lot less impressive than a 26% reduction. In other words, not actually a whole lot here to crow about.

There is some very preliminary research that suggests GLP-1RAs may have anti-inflammatory and even anti-proliferative activity in colon (and other) cancers, so I would agree that they might want to look further into them with a well-designed randomized controlled trial (RCT). But even if such a trial showed that giving people these drugs reduced the incidence of colon cancer (or anything else) can you tease out whether it is a newly recognized effect of the drug or merely the effect of the drug to help patients achieve better glucose control, satiety, and weight loss—to make them metabolically fitter in general. Let’s back up to look at the target of this receptor they’re so fond of agonizing.

What is GLP-1 anyway?

Glucagon-Like Peptide-1 is a small hormone of the incretin family, produced locally by enteroendocrine L-cells in the gut in response to foods entering the distal small intestine and first part of the large intestine. Its role is to help regulate insulin and glucagon release, gastric emptying, and appetite. Its release amplifies insulin secretion if the food coming in is carbohydrate-rich and glucose is elevated, but it has minimal effect on insulin if not. It also suppresses glucagon secretion (insulin’s opposing hormone) if glucose levels are above the fasting baseline (but not if there is hypoglycemia). It acts to slow gastric emptying time creating a sense of postprandial fullness, which suppresses appetite.

And all of that action seems to be of physiologic benefit to those who have diabetes, obesity, or some other component of metabolic syndrome.

But if stimulating GLP-1 receptors (which is what GLP-1RAs do) is the biochemical mechanism behind these purportedly positive effects, why not just stimulate the release of GLP-1 with food and let it do its natural thing by binding itself to its receptors?

Dietary fat and protein each roughly double to quadruple circulating GLP‑1 after a meal, with levels peaking within a half hour to an hour and a return toward baseline over roughly two to three hours. Fasting GLP‑1 is typically around 5 to 15 pmol/L. Mixed meals generally raise total GLP‑1 about 2- to 4‑fold, regardless of macronutrient makeup, when energy is reasonably matched.

High‑protein meals can produce some of the highest GLP‑1 responses seen with physiologic feeding. In a crossover study, a 60% protein breakfast produced higher GLP‑1 levels at two hours that remained elevated for the 4‑hour sampling period than did isocaloric high‑fat or high‑carb meals.

But dietary fat is itself a potent GLP‑1 secretagogue in both humans and animals, triggering detectable GLP‑1 release within about 30 minutes that peaks around one hour.

Protein plus calcium (e.g., dairy) appears particularly effective, with human work showing some of the highest postprandial GLP‑1 concentrations reported for normal feeding when the two are combined.

When calories are matched, high‑protein and high‑fat meals both stimulate GLP‑1, but several studies show greater GLP‑1 area under the curve after high‑protein or protein‑enriched drinks compared with carbohydrate‑rich or fat‑rich comparators.

In summary, carbohydrates (especially glucose) trigger GLP‑1 quickly via proximal small intestinal sensing and this action will amplify the signal for insulin release. Fat provides strong and somewhat more prolonged stimulation as it reaches the distal bowel’s L‑cells, and protein (and certain amino acids) can produce robust GLP‑1 release that is enhanced by calcium.

So eating meals that are high in quality protein and fat, and limited in carbohydrate would seem like a recipe for doing what a GLP-1RA does. And clinical research bears out that a well-formulated, protein-rich, fat-rich, low-carb ketogenic diet can indeed control diabetes, reduce excess weight and body fat, improve cardiovascular blood lipid measures, resolve fatty liver, improve sleep apnea, and more, all without the untoward potential GLP-1RA side effects that can include such maladies as nausea, vomiting, gastroparesis, lean body mass loss, Ozempic butt, and Wegovy face.

In fact the list of possible adverse side effects—from the common to the rare—is longer than the list of proposed targets for treatment:

Nausea, early satiety, post‑prandial fullness, vomiting, diarrhea, constipation, abdominal pain, cramping, bloating, dyspepsia/heartburn, fatigue, dizziness, headache, injection‑site reactions (erythema, pruritus, nodules, mild pain), hypoglycemia when combined with insulin or insulin secretagogues (e.g., sulfonylureas), mild resting tachycardia, possible orthostatic symptoms (low blood pressure on standing from volume depletion of GI fluid losses), biliary, pancreatic, and GI motility slowing, gall stones and inflammation, gall bladder colic, acute pancreatitis (rare but clinically important), worsening or unmasking of gastroparesis, rare bowel obstruction or ileus, acute kidney injury from volume depletion, electrolyte disturbances secondary to GI fluid loss, boxed warning for thyroid C‑cell tumors (medullary thyroid carcinoma) in rodents; contraindication in patients with personal/family history of MTC or MEN2, systemic allergic reactions, very rarely anaphylaxis, development of anti–drug antibodies, transient visual blurring related to rapid glycemic shifts, worsening of pre‑existing diabetic retinopathy when glucose control improves very rapidly (not uniformly seen, but enough to be on warning labels for some agents), optic neuropathy and other visual events with some agents (causality not fully established), hair loss (alopecia) reported anecdotally and in some pharmacovigilance datasets, mood changes and rare reports of suicidal ideation are being actively surveilled but not definitively linked.

So, if you want to rid yourself or those you love or care for from the specter of that long list of diseases at the start while avoiding that long list of adverse side effects above, the best nutritional advice comes back to this: eat real food. Eat meat, fish, poultry, eggs, dairy, green leaves and vegetables, nuts and seeds, little fruit, some starch, and no sugar.

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Why Trainers Should Care about Mitochondria https://brokenscience.org/why-trainers-should-care-about-mitochondria/ https://brokenscience.org/why-trainers-should-care-about-mitochondria/#comments Wed, 04 Mar 2026 14:08:14 +0000 https://brokenscience.org/?p=23348 The “engines” inside the human hot rod

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I’ve seen it, and so have you. We coach the same workout all day. Some athletes thrive on the challenge, and others don’t look as good. We second-guess ourselves: “Did I scale them right?” “Was that the right workout today?” But sometimes the answer is simpler. It’s not the workout that needs a closer look, it’s the athlete who is struggling. This is where mitochondria enter the conversation.

MetFix is the only commercial entity concerned with the care and feeding of the mitochondria.

I’ll admit that line didn’t land at first. Mito-what? It sounded like textbook science, not a coach’s job. But experience has taught me that when Coach Glassman makes a claim that doesn’t make sense right away, it’s worth listening to. If I don’t understand it yet, it usually means there’s something big I’m missing. That’s why, when I heard Pete Shaw’s lecture at the first Foundations Course, the line finally clicked: capacity lives or dies inside the mitochondria. What we call fitness is really mitochondrial function expressed on the gym floor.

If we’re going to talk about fitness and health, we have to care about mitochondria, because talking about performance without them is like talking about a drag race without talking about the engines.

So let’s look under the hood. Nearly every cell in your body is built around these engines. Mature red blood cells and lens cells of the eye are the exception. Red blood cells carry oxygen, but they do not have mitochondria. Most tissues do. The mitochondria you “see” in performance live mainly in skeletal muscle, the heart, and the nervous system. Those are the engines that move the load and keep output steady. But mitochondria in organs like the liver, pancreas, and gut set the fuel mix and metabolic signals that determine whether those performance engines run clean or overheat. At the cellular level, each mitochondrion fires like a cylinder, turning the fuel you eat into ATP, the cell’s universal energy currency. Mitochondria turn fuel into ATP. That’s where we get the horsepower. Nutrition sets the fuel mix, and training controls how hard the engine has to work. This tiny engine explains what coaches see every day: elbows drop, midlines soften, footwork gets sloppy, while someone right beside them stays crisp and in control. Mitochondria determine who has the power to do the work, who adapts, who fades, and who can show up again tomorrow. Performance and health share the same mechanism: when these engines adapt, athletes get fitter; when they run on the wrong fuel for too long, dysfunction isn’t far behind.

The mitochondria don’t care about food brands or nutrition fads; they care about substrates. Everything—fat, carbohydrate, and protein—gets broken down into acetyl-CoA, the molecule they burn to produce ATP. Fat enters through beta-oxidation. Carbohydrate runs through glycolysis and pyruvate oxidation, and amino acids contribute during fasting or excess intake. In metabolic terms, fat is the long, clean burn; carbohydrate is the fast, hot flame. With oxygen, a molecule of fat yields roughly three times more ATP than a molecule of glucose. That difference shows up on the gym floor, where fat supports steady output and repeat efforts, while glucose is powerful but limited—one feels sustainable, the other urgent.

Metabolic flexibility is the capacity to burn the right fuel at the right time. When mitochondria are efficient and abundant, fat supports the easy gears and glucose is reserved for speed. When they’re limited, so too is the capacity to burn fat. The engine runs too hot, too soon. More glucose is burned without oxygen through glycolysis. Coaches see the result: athletes who look in distress instead of control, faces flushed, breathing panicked, pace collapsing long before the clock demands it, recovery slowing to a crawl. Without metabolic flexibility, training becomes futile suffering instead of driving adaptation.

What we see as poor performance is often early metabolic disease. The same engines that decide who holds form in a workout also decide who drifts toward chronic disease. When mitochondrial oxidative capacity is limited, athletes rely more heavily on glucose and fatigue sooner. Chronic overexposure to refined carbohydrate and industrial seed oils drives the overload, increasing oxidative stress and eroding the ability to adapt. First, performance breaks. Then health breaks. Diabetes, fatty liver, cardiovascular disease, and cancer—many of them begin with the same failing engine. Research in cancer metabolism, insulin resistance, and cardiometabolic disease increasingly identifies mitochondrial dysfunction as an upstream driver of metabolic disease. Workout performance is the first test of metabolic health, and coaches administer it every day. Doctors use a similar principle with exercise stress tests, unmasking cardiovascular problems that are silent at rest. Long before fasting insulin climbs above 5 µIU/mL or the triglyceride-to-HDL ratio rises past 2.0, coaches can see the engine struggling on the gym floor.

Back to what we see all the time—one athlete keeps mechanics sharp and breathing steady, while the other fades early: red face, slumped posture, confusion in the eyes. What you’re noticing is the engine beginning to fail. One engine is responsive; the other is overheating and struggling to convert fuel into power. Scaling won’t fix a failing engine; you have to change what goes into the tank.

When adaptation stalls, it’s usually a fuel problem, not a programming problem. Fasting can help restore insulin sensitivity and reset energy signaling. If you want mitochondria that make power and recover fast, you need adequate protein, sufficient total energy, and food that supports stable blood sugar so training can stay consistent. The principle is the same moving from sick to well as it is from well to fit, but the dose changes: total intake, macros, training load, and recovery have to be fitted for the athlete in front of you.

This is the care and feeding of mitochondria. In MetFix terms, mitochondria are the biological engine behind work capacity across broad time and modal domains. Mitochondria drive metabolism and control capacity—and they’re trainable. Give them a consistent signal and they expand, giving you more capacity to make energy, hold output longer, and recover faster between bouts. Remove the signal and they diminish. The same workout feels harder, breathing spikes sooner, and recovery slows. Coaches measure it with a stopwatch and record it with a whiteboard.

Coach the mitochondria, and you coach both performance and health.

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CAR-T & GBM: More hope in the war on cancer https://brokenscience.org/car-t-gbm-more-hope-in-the-war-on-cancer/ https://brokenscience.org/car-t-gbm-more-hope-in-the-war-on-cancer/#respond Tue, 24 Feb 2026 00:22:20 +0000 https://brokenscience.org/?p=23200 And more evidence that victory isn’t defined by survival or quality of life

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More hope in the war on cancer

“Small studies offer hope CAR-T can fight an aggressive brain cancer” reads the headline of a recent article in STAT. It includes three recent papers on the use of CAR-T to treat glioblastoma multiforme (GBM), an aggressive type of brain cancer.

There are a couple of thoughts that move to the forefront of my mind when I read titles like this on cancer treatments.

One is that the harsh realities of cancer and our lack of progress in tackling it get buried by misleadingly optimistic narratives promulgated by the news media, advocacy groups, medical centers, oncologists, cancer researchers, drugmakers, and patients, to name a few.

The other is that improving survival and quality of life while minimizing toxicity should be the aim of any rational treatment. This seemingly obvious statement tends to get lost in the shuffle of the ocean of news promising hope, progress, and breakthroughs, as well as more and more cancer drug approvals based on outcomes that don’t demonstrate a survival benefit.

I’ve adopted a way of thinking that’s a twist on a Russian proverb: Don’t trust, but verify. While I’m skeptical of titles like those above, I try not to dismiss them. Maybe it will surprise me. Some people in those same groups I just dragged through the mud are perhaps most likely to get us out of this mess. Maybe the results of the studies truly warrant optimism and suggest the researchers are on the right track. Perhaps the authors and the people they interviewed or cited address the questions that matter most to cancer patients: Will this treatment make me live longer?  Will this treatment relieve my symptoms or free me from future disability? What are the adverse effects from receiving this treatment, both short- and long-term?

Before we look any further into these studies and whether they give us reason to think researchers are on the right track, we need to look at a brief history of our “war on GBM” to gain some perspective.

A brief history of GBM treatment

GBM was originally classified1 and described in 1926 by the surgeons Percival Bailey and Harvey Cushing, documented in their 1926 monograph. At the time, they reported an average survival of 12 months in GBM patients undergoing surgery. From as early as the 1940s, clinicians have routinely used radiation to treat brain tumors, with advances in techniques and technologies over the ensuing decades. Various chemotherapies were thrown in with radiation along the way. It was not until the addition of lomustine (an alkylating agent) that survival advantages for GBM were claimed. The first cytotoxic drugs — lomustine and carmustine — were approved in 1976 and 1977, respectively. More survival advantages were to come at the turn of the century. In 1996, carmustine wafers for recurrent high-grade glioma were FDA-approved, which are biodegradable discs infused with the drug that are implanted under the skull during surgery. In 1999, temozolomide (TMZ), an oral alkylating agent that crosses the blood-brain barrier, was approved by the FDA for recurrent anaplastic astrocytoma, which is a grade 3 astrocytoma. Off-label use of TMZ for GBM (a grade 4 astrocytoma) became increasingly widespread. In 2003, carmustine wafers became FDA-approved for newly diagnosed GBM based on a trial that demonstrated the wafers plus radiation improved survival by two months compared to radiation alone. Two years later, a trial showed that TMZ in combination with radiation improved survival by two months compared to radiation alone, and the drug was granted FDA approval for newly diagnosed GBM in 2005. This established the standard of care2 for newly diagnosed GBM that is still with us today: maximum safe surgical resection followed by concurrent radiation and TMZ for six weeks, and then six monthly cycles of TMZ. Since then, another drug (bevacizumab or BVZ, 2009) and a medical device (tumor treating fields or TTFields, 2015) have been approved for treatment by the FDA.

Not only do we now have several treatments for GBM, but advocates will also point to our increased understanding of the disease, enhanced diagnostics, surgical advancements, and more nuanced treatment strategies, which have improved patient outcomes.

Given all the progress, it shouldn’t be surprising that the prognosis for someone diagnosed with GBM today is much better than it was 100 years ago. 

Except, it isn’t.

Survival outcomes in GBM

“Population-level studies find median OS [overall survival] to be 8-14 months in North America,” Mostafa Fatehi and his colleagues report in their 2018 analysis of hundreds of GBM patients in addition to an evaluation of the overall literature, “which are woefully similar to numbers reported by Cushing a century ago.”

Tom Seyfried, a professor of biology, genetics, and biochemistry at Boston College and author of the 2012 book Cancer as a Metabolic Disease, recently addressed an audience at a BSI event on this topic. After listening to several presenters before him lament the replication crisis in scientific research: “Science can’t be reproduced?” he asked. “Bzzzzt! Wrong: not always: there’s nothing more reproducible than how fast people die when they’re treated with the standard of care.” Seyfried then presented a figure from Fatehi and colleagues showing survival curves from five independent surgical institutions in Canada (Figure 1).

Figure 1 (Figure 3C from Fatehi et al., 2018) | Survival curves for GBM patients diagnosed from 2013 to 2015 from five Canadian surgical institutions

“I have the same survival curves from our institutions,” Seyfried says. “You’re going to get a profile that looks like this,” as Seyfried points to Figure 1. “No improvement in 100 years! … What the hell is going on with that?”

In Figure 2 below, you can see survival curves for GBM patients diagnosed from 1981 to 1991 in the US, with data from the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) Program that doesn’t look much different than the Figure 1, above.

Figure 2 (from Davis et al., 1998) | Survival curves for GBM patients diagnosed from 1981 to 1991 in the U.S.

Raw data were obtained from the SEER program. Median OS ~9 mo.

In 2012, Amy Darefsky and colleagues used SEER data to demonstrate “modest, but meaningful” population-based survival improvement for GBM patients in the US following the widespread adoption of TMZ starting in 1999, as shown in Figure 3. From 1993 to 1995 and 2005 to 2007, median survival increased from 7.5 to 9.5 months.

Figure 3 (from Darefsky et al., 2012) | Kaplan-Meier survival plots for glioblastoma multiforme cases according to year of diagnosis and age

Age group: (A) 20 to 44 years. (B) 45 to 64 years. (C) 65 to 79 years. (D) 80+ years. Median OS from 1993 to 1995 and 2005 to 2007, 7.5 months to 9.5 months, respectively

While we can debate whether a difference in median survival from 7.5 months to 9.5 months is modest but meaningful, it’s fair to again conclude that these numbers are woefully similar to numbers reported by Cushing a century ago. How can it be that we’ve made all the progress described above against GBM, yet patients aren’t living much longer in the 2020s than they did in the 1920s?

CAR-T studies: treatment response

So, what are the new studies offering hope and progress for immunotherapy joining the fight against GBM? The STAT article discusses three recently published studies.

INCIPIENT trial

In one interim report of a phase I trial — the Intraventricular CARv3-TEAM-E T Cells in Patients with Glioblastoma (INCIPIENT) study conducted at MGH — investigators observed “dramatic and rapid” radiographic tumor regression, occurring within days after a single infusion of CAR-T therapy engineered to target the EGFRvIII tumor-specific antigen as well as the wild-type EGFR protein, in three recurrent GBM (rGBM) participants. However, the effects were transient in two of the three participants, and their tumors progressed. In one participant, however, his tumor continued to shrink and stayed that way for more than five months after his single infusion.

PENNMED trial

In another interim report of a phase I trial, I’ll refer to it as the PENNMED study, since investigators from Penn Medicine treated six rGBM patients with CAR-T therapy targeting EGFR and IL13Rα2. Tumors appeared to shrink in all six patients. However, none met the criteria for an objective radiographic response, which was the defined secondary outcome. “Although none met criteria for an objective response … [roughly a 50% or greater decrease in the size of the tumor on imaging, sustained for at least 4 weeks],” write the investigators, “tumor shrinkage of at least 30% was observed in three of six patients, and stable disease was maintained on scans performed at least 2 months after CAR T cell therapy in three of the four patients who had at least 2 months of follow-up time.”

CoH trial

In a phase I trial, investigators evaluated CAR-T therapy, engineered to target the tumor-associated antigen IL13Rα2, a product invented at City of Hope (we’ll call this the CoH trial), in 65 patients with recurrent high-grade glioma, the majority of which had rGBM. Half (29 of 58) of the patients evaluable for disease response achieved stable disease or better. Among them, two of the patients showed partial responses, and one of the patients had a complete response. All three tumors were IDH-mutated, two were grade 3, and the other was a grade 4 astrocytoma.

So, what are we to make of the impressive responses from these three trials? Does this necessarily suggest that researchers are on the right track?

Surrogate outcomes: poor predictors of meaningful outcomes

Measures of tumor shrinkage are measures of tumor response in the cancer lingo. Measures of tumor response are surrogate endpoints, stand-ins for what we really want to measure, such as increased survival and quality of life. It seems logical that if we can shrink a patient’s tumor that patient is going to feel better and live longer as a result. “If a cancer shrinks, won’t a patient feel better?” Vinay Prasad, a hematologist-oncologist and Professor in the Department of Epidemiology and Biostatistics at UCSF, asks in his book Malignant. “While it is true that patients who have a response often feel better, it is not invariably the case.” What about survival? “[T]he link between response and living longer is tenuous. Response, then, is not assurance a patient feels better, nor is it assurance a patient lives longer. Strictly speaking, it is a surrogate.”

In 2019, Prasad and his colleagues took stock of the surrogates used in oncology, which included a quantification between response rates and survival. In the metastatic setting, the goal of treatment is to improve survival and quality of life rather than eradicating any traces of tumor in the patient because the latter has been shown to be virtually impossible. The same can be said of GBM, at least in the long term. The two most common surrogates for survival and QoL in this setting are response rate and progression-free survival. Response rate is the percentage of patients whose cancer shrinks (partial response) or disappears (complete response) after treatment. PFS is the time until either progression (typically occurs when tumors grow more than 20% from their smallest size, or there are new tumors on imaging) or death, whichever comes first.

In the metastatic setting, they examined 65 validation studies of surrogate outcomes and survival, and found:

  • Six (9%) had strong correlations;
  • Eight (12%) had medium correlations;
  • 23 (35%) had poor correlations; and
  • 28 (43%) had correlations of different strengths.

When they looked specifically at PFS and survival, regardless of cancer type, they identified 83 studies, and found:

  • 16 (19%) had strong correlations;
  • 27 (33%) had medium correlations; and
  • 40 (48%) had poor correlations.

When they looked at response rate and survival, they identified 32 studies, and found:

  • None had strong correlations;
  • 3 (9%) had medium correlations; and
  • 29 (91%) had poor correlations.

To put it mildly, surrogates are poor predictors of how long patients live, and response rates appear to be flat-out useless.

As for surrogates predicting how well patients live, in 2018, two groups of investigators examined this relationship. In one study, Kovic and colleagues analyzed 52 articles reporting on 38 randomized trials and did not find a significant association between PFS and health-related quality of life, concluding that their findings “raise questions about the assumption that interventions prolonging PFS also improve health-related quality of life.” In the other study, Gyawali and Hwang found that “The correlation between PFS and positive QoL was low (r = 0.34).” Roughly speaking, a correlation of this magnitude suggests that little over 10% of the changes in QoL can be predicted by PFS. Put another way, it suggests that nearly 90% of what determines QoL is unrelated to PFS.

Response and progress must be done on imaging, which may not capture the true dimensions of a tumor, especially for diffuse infiltrative tumors like GBM. “We recognize the limited reliability of pathology currently in differentiating progression from pseudoprogression,” write the authors of the update to the Response Assessment in Neuro-Oncology (RANO) in 2023, “and a RANO working group is currently addressing this issue.” Not only is it difficult for an MRI to pick up unknown lesions on diagnosis, but therapies can sometimes induce false positives and false negatives, dubbed pseudoprogression and pseudoresponse, respectively. For example, pseudoprogression is believed to be prevalent soon after completion of chemo and radiation. On the flip side, BVZ has been shown to result in radiologic response rates of up to 60% after one day of treatment. Increased enhancement on a scan can be induced by treatment-related inflammation. Therefore, pseudoprogression may represent an active inflammatory response to the tumor. That might lead one to think that an immunotherapy like CAR-T is a prime candidate for inducing pseudoprogression on an MRI. Indeed, some suggest that effective immunotherapies often seem to make a tumor grow before it shrinks it, with the former getting chalked up to pseudoprogression. However, other studies have shown that acute systemic inflammatory responses don’t interfere with early imaging results. It seems hard to argue that the INCIPIENT trial, which demonstrated “dramatic and rapid” radiographic tumor regression within days after an infusion of CAR-T, is confounded by pseudoprogression. In fact, Benham Badie, the senior author of the CoH trial, told STAT the observations of CAR-T causing GBM tumors to shrink without any pseudoprogression is a unique effect and warrants study with more advanced imaging techniques.

Summary: treatment response

The takeaway here in the context of the CAR-T and GBM studies is that, while the responses seen on MRI are encouraging, we shouldn’t assume this implies the treatments improve the quantity or quality of life in the patients who receive them. We can fool ourselves in infinite ways into detecting signals where there’s mostly noise. Perhaps advanced imaging techniques and interpretation may help reduce the level of noise and give us more confidence that what we’re seeing is truly happening. But where does that ultimately get us? Everyone should be on the same page with this one: the real signals we’re after are morbidity and mortality, which are the outcomes we should measure.

CAR-T for GBM: survival outcomes

Unlike the other two reports, the CoH trial included an analysis of one of those signals: survival. The median overall survival for all patients was eight months, and 7.7 months for the 41 rGBM patients evaluable for survival, shown in Figure 4 below.

Figure 4 (from Brown et al., 2024) | Overall survival of evaluable rGBM patients from date of surgery

Thin lines denote 95% CIs; dashed line depicts median in months (Mo). Median survival with 95% CI in parentheses also indicated.

Does that look encouraging? In the light of the data on median OS for GBM of 8-14 months, 7.7 months may look particularly dismal. The results are also difficult to interpret because there was no control group in this trial. But remember, these were patients with recurrent GBM. These patients were initially diagnosed with GBM or a high-grade glioma several months before their baseline in this study, so the results are not indicative of survival for newly diagnosed GBM. (Unfortunately, this time-since-initial-diagnosis information is not provided in the paper, or I failed to find it.) Nevertheless, for a more relevant comparison, previous clinical trials have estimated a median OS in rGBM patients of about 5-13 months (McBain et al., 2021; Rostomily et al., 1994; Wong et al., 1999), so the OS results from the CoH trial appear to be nothing out of the ordinary.

Additionally, there are two important factors that likely bias the results of the CoH trial toward longer median OS compared to what might happen in the real world. The first one likely applies to all clinical trials, but the second one may be more unique to CAR-T. This is sometimes referred to as survivorship or survival bias, a phenomenon that occurs when researchers focus on individuals, groups, or cases that have made it through a selection process, and overlook those that didn’t.

Survivor bias #1: selection bias

Patients enrolled in clinical trials often have better outcomes than patients treated outside the clinical trial setting because they are intentionally selected for better prognoses. The CoH trial was no exception. Enrollment criteria included several rules of inclusion and exclusion that almost assuredly selects for relatively healthier patients. To give you a flavor, patients must exceed a threshold score (≥60%) where a higher score means the patient is better able to carry out daily activities, have a life expectancy greater than four weeks, have a limited steroid dependency, not have poorly controlled illness, and not have cardiac arrhythmias. In the real world, restrictions on who is eligible to receive the treatment may not be this rigid, were the drug to be FDA-approved. Therefore, it’s reasonable to expect decreased median OS in the real world compared to the results of clinical trials.

Survivor bias #2: The denominator problem

Two, we may not be observing the appropriate denominator of patients. The way CAR-T works is that, first, T cells are extracted from the patient’s blood. Those cells are then sent to a laboratory where they are genetically modified and cultured. Then the CAR-T cells are sent back to the clinic, where they are infused back into the patient. This takes time. In the CoH trial, the average turnaround time from cell extraction to infusion was 50 days. A couple of months is an especially long time for patients who may have a life expectancy of six months on average. Tumors progress and patients die in that window. It stands to reason that those with more aggressive tumors are more likely to progress and die, while those with less aggressive tumors are more likely to be in good enough shape to receive their treatment. The trial protocol stipulated that participants who do not receive any CAR-T infusion are considered failures of the screening process, and their enrollment ceases. Therefore, the sickest patients may have been excluded from the study. In fact, 24 patients did not receive their CAR-T therapy “due to rapid tumor progression.” Ultimately, this may have culled the sickest patients evaluable for assessing overall survival, which could have otherwise represented about 30% of this population. “The attrition before CAR T-cell infusion because of differences in disease biology between patients who remain on the study and patients who do not, a consistent theme in early-phase CAR-T trials,” argues Muhammad Abid, a professor of medicine at the Medical College of Wisconsin, “further leaves the denominator containing only those patients with biologically favourable disease, such as patients who underwent apheresis but died before cell infusion due to a greater disease burden or metabolic tumour volume.”

These factors likely inflated the number and proportion of patients achieving more favorable outcomes and are less translatable to what will happen in real-world settings. Yet, we’re still left with a median OS of less than eight months. However you slice it, it’s difficult to be encouraged by the OS reported in the trial. The senior author of the paper addressed this point head-on in the STAT article. “People lose enthusiasm looking at average survival,” Badie told STAT, “but these are very sick patients. They don’t have a lot of options. [But] these are important signals of activity.”

Summary: survival outcomes

To recap: the CoH trial seemed to show that the CAR-T treatment delayed disease progression, but it didn’t seem to advance survival. The other two reports, however small, showed remarkably rapid responses. CAR-T seemed to shrink the tumors almost instantly. But that shrinkage shown on imaging didn’t seem to last for very long, with one or two exceptions. Although, one or two exceptions out of nine patients isn’t a terrible batting average when GBM is your opponent. The more important question is whether these treatments and their tumor-shrinking capabilities on imaging translate to longer and healthier survival with minimal adverse effects. In other words, how well does tumor-shrinking on imaging predict how long or how well I live? Not very well, suggests the results from the CoH trial.

CAR-T for GBM: safety

Speaking of minimal adverse effects, what about safety? Determining the treatments’ safety was the primary objective in all three studies. These were phase I trials, which are studies intended to identify a safe dose of the treatment to take forward into subsequent trials. Determining the toxic effects and adverse events and determining the highest dose with an acceptable toxicity profile seems a logical starting point in human drug trials.

Note: All three studies used the same set of criteria for classifying adverse effects, or AEs, a grading (severity) scale from 1 through 5, so I’m including the descriptions in Table 1 below for reference.

Table 1 (from NCI, 2017) | Common Terminology Criteria for Adverse Events (CTCAE) v5.0

An Adverse Event (AE) is any unfavorable and unintended sign (including an abnormal laboratory finding), symptom, or disease temporally associated with the use of a medical treatment or procedure that may or may not be considered related to the medical treatment or procedure. Grade refers to the severity of the AE. A Semi-colon indicates ‘or’ within the description of the grade.

*Instrumental ADL refer to preparing meals, shopping for groceries or clothes, using the telephone, managing money, etc.

**Self care ADL refer to bathing, dressing and undressing, feeding self, using the toilet, taking medications, and not bedridden.

INCIPIENT trial

In the INCIPIENT trial, the primary objectives were safety and tolerability for the three participants. The investigators concluded the therapy was safe, “despite widespread expression of its target in systemic tissues.” Remember, these investigators employed a CAR-T therapy that targets the wild-type EGFR protein and a tumor-specific antigen. “The patients tolerated the infusions well,” according to a press release from MGH, “though nearly all had fevers and altered mental status soon after infusion, as was expected from an active CAR-T therapy administered into the fluid around the brain.” “We’re hopeful that if we continue to see this level of initial response, and continue to see this safety, then we’ll be able to open a larger study,” Marcela Maus, director of Mass General’s Cellular Immunotherapy Program and senior author on the paper, told Precision Medicine Online.

During the trial, investigators logged grade 3 AEs that were ‘probably related’ to treatment in two out of the three participants: severe neurotoxicity in Participant 1 and severe fatigue in Participant 3. Those weren’t the only AEs. Among the three participants over a 30-day period, investigators logged the following number of AEs at least possibly attributable to the treatment:

  • 2 grade 3 AEs
  • 24 grade 2 AEs
  • 31 grade 1 AEs

A couple of months after Participant 1 finished his treatment in the study, he died “from disease progression,” according to the investigators, which they did not attribute to CAR-T. The cause of death was gastrointestinal perforation while he was receiving BVZ (an antiangiogenic agent) and dexamethasone (DEX, a corticosteroid). How does disease progression from brain cancer cause GI perforation? It doesn’t necessarily. “Of tumors without abdominal involvement,” write Alba Brandes and her colleagues in a 2015 overview of the most common side effects of BVZ, “GBM incurs the highest rate of gastrointestinal perforation.” In addition, “It is likely that the concomitant use of corticosteroids might contribute to this increased incidence,” the authors caution. In other words, it’s possible that the participant’s death was due to an adverse event associated with the use of treatment. Untangling deaths due to disease progression and deaths due to treatment effects is beyond the scope of this article, but it’s worth mentioning here that the latter is often nontrivial. For example, in children diagnosed with blood cancers — which make up nearly half of all childhood cancers — treatment-related mortality accounted for nearly 60% of the deaths, according to one estimate. In their words, “more children died due to their treatment than due to progression of their disease.”

PENNMED trial

In the PENNMED trial, the primary objectives were safety and determination of the maximum tolerated dose. “Taken together,” the investigators conclude, “these first-in-human data demonstrate the preliminary safety and bioactivity of CART-EGFR-IL13Rα2 cells in rGBM.”

During the trial, all six patients experienced substantial early-onset neurotoxicity, and one patient experienced a dose-limiting toxicity of grade 3 anorexia, generalized muscle weakness, and fatigue.

The investigators provided a summary of the experience of the six patients, which is worth reproducing in full.

Patient 1

Patient 1 developed grade 2 CAR neurotoxicity approximately 10 h after CAR T cell administration (day 0), characterized by increasing confusion, acute worsening of chronic aphasia [failure to understand or produce language] and nausea and vomiting. Dexamethasone and anakinra (IL-1R antagonist) were initiated with improvement in the patient’s neurologic status by day +2.

Patient 2

Patient 2, who was noted on the day −1 MRI to have rapid tumor progression, developed acute worsening of chronic left facial weakness and aphasia on day +1, consistent with grade 3 CAR neurotoxicity and prompting treatment with dexamethasone and anakinra. Improvement in neurologic symptoms back to baseline was noted by day +2.

Patient 3

In patient 3, who entered the study with worsening leptomeningeal disease and declining performance status, a reduction in the immune effector cell encephalopathy (ICE) score3 was noted on day +1. The patient was diagnosed with grade 3 CAR neurotoxicity and treated with dexamethasone and anakinra. The patient’s level of alertness and orientation waxed and waned over the subsequent 24 h, ultimately culminating in the patient becoming difficult to arouse verbally and being transferred to intensive care. Intubation was not required. Improvement in mental status was noted on day +4 with continued supportive care, and the patient returned to pre-CAR T cell neurologic baseline by day +7.

Patient 4

At dose level 2, patient 4 also experienced early and severe (grade 3) CAR neurotoxicity on day +1. The patient was initiated on dexamethasone and anakinra on day +1, and a single dose of tocilizumab (anti-IL6R) was added on day +2 in the setting of grade 2 CRS4 [cytokine releasing syndrome] and continued grade 3 neurotoxicity. The patient’s mental status improved markedly by day +3 and returned to pre-CAR T cell neurological baseline by day +4.

Patient 5

Patient 5 entered the study with considerable progression of multifocal tumor noted on the day −1 MRI scan. On day +1, the patient experienced grade 2 CAR neurotoxicity. The patient received only dexamethasone for supportive care, with neurotoxicity improving to grade 1 by day +2. However, on day +14, the patient presented in the setting of a dexamethasone taper with worsening fatigue, generalized muscle weakness and anorexia, each of which was grade 3 and lasted 8 d, 8 d and 14 d, respectively, meeting protocol-defined criteria for DLT. The patient’s dexamethasone dose was increased with improvement of these toxicities to grade 2 or lower by day +28.

Patient 6

Patient 6 had tumor progression involving the left midbrain and associated severe right-sided hemiparesis [muscle weakness or partial paralysis on one side of the body] on the day of CAR T cell injection. On day +1, the patient developed acute worsening of chronic expressive aphasia and further increase in right-sided weakness that progressed to complete hemiplegia [total paralysis on one side of the body]; the patient also developed aphasia on day +2, consistent with grade 2 CAR neurotoxicity, and was treated with dexamethasone and anakinra. His aphasia and ICE scores improved to baseline by day +3, but his dense hemiparesis continued. To optimize rehabilitation potential and reduce corticosteroid exposure, the patient received a single dose of bevacizumab (7.5 mg kg−1 intravenously) on day +6 and was discharged on a dexamethasone taper. There was mild improvement in right leg strength but no improvement in right arm strength by the day +28 visit.

CoH trial

In the CoH trial, the primary objectives were safety and feasibility, maximum tolerated dose, and a recommended phase 2 dose plan. “In summary,” the investigators conclude, “primary objectives of this phase I clinical study were met, establishing feasibility and safety of locoregionally delivered IL-13Rα2-CAR-T cells for treatment of [recurrent high-grade glioma] and rGBM,” the investigators conclude. And, “as there were no dose-limiting toxicities across all arms, a maximum tolerated dose was not determined.”

During the trial, grade 3 and above toxicities with possible or higher attribution to CAR-T were observed in more than a third (35%) of patients, including one grade 3 encephalopathy and one grade 3 ataxia with probable attribution to CAR-T. The most common toxicities with possible or higher attribution to CAR-T cells were headache, fatigue, and hypertension. Two patients experienced transient grade 4 (i.e., life-threatening) cerebral edema shortly after receiving their first infusion with possible attribution to CAR-T, and their symptoms improved within a few days of increasing dexamethasone (16 mg and 36 mg per day).

Summary: Safety

If you take it from the investigators and the press releases, the studies demonstrated that the CAR-T treatments were safe and well-tolerated. Given what patients go through with these treatments, those are clearly relative terms. In the protocol of the INCIPIENT trial, for example, investigators are not required to report grade 4 “expected” AEs to the IRB. Included among the expected toxicities of treatment are cytokine release syndrome (CRS) and neurological toxicity, termed ICANS (Immune Effector Cell Associated Neurotoxicity). Look at Table 2 to see what grade 4 ICANS looks like.

Table 2 (from Maus et al., 2020) | ASTCT ICANS consensus grading for adults

ICANS grade is determined by the most severe event not attributable to any other cause.

[1] A patient with an ICE score of 0 may be classified as grade 3 ICANS if awake with global aphasia, but a patient with an ICE score of 0 may be classified as grade 4 ICANS if unarousable.

[2] Attributable to no other cause (e.g., no sedating medication).

[3] Tremors and myoclonus associated with immune effector cell therapies may be graded according to CTCAE V.5.0, but they do not influence ICANS grading.

[4] Intracranial hemorrhage with or without associated edema is not considered a neurotoxicity feature and is excluded from ICANS grading. It may be graded according to CTCAE V.5.0.

Abbreviations: ASTCT, American Society for Transplantation and Cellular Therapy; CTCAE, Common Terminology Criteria for Adverse Events; EEG, electroencephalogram; ICANS, immune effector cell-associated neurotoxicity syndrome; ICE, Effector Cell-Associated Encephalopathy; ICP, intracranial pressure; N/A, not applicable.

“It is expected that AEs will occur frequently in this population and that these can be SAEs [serious adverse events],” the protocol from the PENNMEDICINE trial notes. “Therefore, there is no specific occurrence of SAEs that define a stopping rule, but the review of SAEs will form the basis for potential early stopping of the study.” Similarly, the CoH trial carves out a list of “anticipated” and “allowable” “expected” AEs occurring within a specified time that will not result in an expedited reporting to the FDA, nor will they result in ablation of CAR-T cells with the use of steroids.

As part of its evaluation of drugs intended to treat life-threatening and severely-debilitating illnesses, the FDA “will consider whether the benefits of the drug outweigh the known and potential risks of the drug and the need to answer remaining questions about risks and benefits of the drug, taking into consideration the severity of the disease and the absence of satisfactory alternative therapy.” Given the expected or known risks of CAR-T therapy, one would expect the benefits — increased survival and alleviation of disease symptoms — need to be substantial in order to outweigh those risks. While it’s possible this bar is cleared in future trials or future iterations of the therapy due to the clear benefits of the treatment, it can be argued that decreasing the toxicity of these treatments is just as important.

Conclusion

“Whereas most new cancer drugs afford modest benefits,” write Matthew Abola and Vinay Prasad in a 2016 article, “approved drugs or those in development may be heralded as ‘game changers’ or ‘breakthroughs’ in the lay press. … However, omission of medical context or use of inflated descriptors may lead to misunderstandings among readers.” The use of CAR-T for GBM is a prime example: “Mass General Researchers Report Major Breakthrough in Deadly Brain Cancer Treatment,” reads the title of an article from the Harvard Crimson on March 21.

It’s worth repeating: improving survival and quality of life while minimizing toxicity should be the aim of any rational treatment. Can CAR-T trials deliver on any of these for GBM? Let’s hope they can improve survival and make patients with GBM feel better, but only then will they earn the definition of breakthrough. While the investigators, fellow researchers, and media appear to be encouraged by these three small trials and believe they offer hope CAR-T can be used against GBM, their results don’t support this position from the perspective of the outcomes that matter to patients with disease. We hope that someday they do.

Part 2 – Ketogenic metabolic therapies & Advanced cancers – Coming Soon


Footnotes

1    They based this on the theory that the tumor stems from early glial cell precursors, known as glioblasts. The name also reflects the diverse appearance of the tumor, attributed to the presence of necrosis, hemorrhage, and cysts, hence the term “multiform.”
2    “The standard of care is the benchmark that determines whether professional obligations to patients have been met,” according to Donna Vanderpool in a 2021 article. “Failure to meet the standard of care is negligence, which can carry significant consequences for clinicians. … The standard of care is a legal term, not a medical term. Basically, it refers to the degree of care a prudent and reasonable person would exercise under the circumstances. State legislatures, administrative agencies, and courts define the legal degree of care required, so the exact legal standard varies by state.”
3    “Lee et al. published a consensus grading schema for chimeric antigen receptor (CAR) T cell therapy complications, specifically cytokine release syndrome (CRS) and neurotoxicity. The immune effector cell-associated neurotoxicity syndrome (ICANS) grading schema for neurotoxicity is derived from the immune effector cell encephalopathy (ICE) score. The ICE score measures alterations in speech, orientation, handwriting, attention, and receptive aphasia.” [Herr et al., 2020]
4    “The CTCAE v4.03 defines CRS as ‘a disorder characterized by nausea, headache, tachycardia, hypotension, rash, and shortness of breath; it is caused by the release of cytokines from the cells.’ Although inclusive of many of the features of immune effector cell-associated CRS, this definition does not include fever, the hallmark of immune effector cell-associated CRS. CTCAE v5.0 refined the definition as ‘a disorder characterized by fever, tachypnea, headache, tachycardia, hypotension, rash, and/or hypoxia caused by the release of cytokines.’” [Lee et al., 2019]

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Why Your Brain Needs Fat https://brokenscience.org/why-your-brain-needs-fat/ https://brokenscience.org/why-your-brain-needs-fat/#respond Mon, 23 Feb 2026 23:54:04 +0000 https://brokenscience.org/?p=23113 The brain is built on fat—so why are we afraid to eat it?

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A recently published study in Neurology, titled High- and Low-fat Dairy Consumption and the Risk of Dementia, reached what the authors may have felt was a somewhat startling conclusion: high-fat dairy and cheese consumption appeared to reduce the risk of developing dementia, even that variant related to atherosclerotic cerebrovascular disease. (I suspect at the outset the researchers assumed they’d find the precisely opposite outcome.)

The research is a prospective epidemiological study (therefore weak evidence) from Sweden that identified and then intermittently followed a cohort of 27,670 people over the course of 25 years seeking to uncover a link between dairy intake and dementia risk, trying to elucidate the effect of what they felt was an easily modifiable risk factor. The primary endpoint was development of dementia of any sort, which befell 3,208 of the subjects, and then they further teased out a secondary cohort of those with a diagnosis of Alzheimer’s disease or atherosclerotic vascular-related dementia from the larger all-cause dementia group.

The dietary intake data was collected via 7-day diet diaries, food frequency questionnaires (both notoriously unreliable), and a single in-person dietary interview lasting about 45 minutes to an hour. One caveat here is that extrapolating these few data points to what the person consumed over 25 years can lead only to vague and speculative quantification of dairy intake at best. So, a bit of a grain of salt there.

The conventional wisdom in neurology is that a diet high in saturated fats is toxic to the brain because (so they say) it promotes insulin resistance, puts stress on the endoplasmic reticulum, and leads to neuronal mitochondrial dysfunction. And that a dysfunction in insulin signaling in the neurons impairs cognitive function. Ergo, put simplistically, a diet chronically high in animal fats leads to dementia. But does it?

Earlier studies had seemed to contradict this Swedish study’s beneficial conclusions, suggesting instead that eating a higher fat diet worsened the progression from mild cognitive impairment to outright dementia. The fly in the ointment, however, is that in most of this research the subjects studied were individuals already beset with systemic metabolic dysfunction (metabolic syndrome, insulin resistance, diabetes, obesity, etc.). But a body (or a brain) doesn’t get into that shape by eating saturated fat alone; it’s usually the typical Standard American Diet (SAD) containing saturated fat, to be sure, but also filled with sugar, refined flour, seed oils, and additives. And yet the researchers all seem to zero in on the saturated fat component and tag it as the proximate cause.

Like other organ systems, the brain can develop insulin resistance, and when it does, it can’t effectively use glucose for energy. The energy deficit impairs not only cognition but the other energy-requiring brain functions, such as removal of waste products and senescent brain cells. On a high-carb, sugar-filled, bad-fat-laden diet, if the brain can’t efficiently use glucose as its main fuel, it must turn elsewhere. Fatty acids and ketones are that elsewhere.

The truth is that the brain needs fat. In fact, it is mostly made of fat; after adipose tissue, it’s the fattiest organ in the body with about 60% of its dry weight made of lipids. Phospholipids, cholesterol, long-chain essential PUFA fatty acids, such as DHA (important for neuroplasticity and synaptic function) and arachidonic acid (critical for synaptic plasticity, especially in gray matter – i.e., the thinking brain), are rich particularly in the myelin layers that insulate the axons (the long extensions of the nerve cell body that carry signals away from the nerve center). Myelin is critical to facilitate efficient, smooth, static-free communication between the neuron and its neuron neighbors, muscles, and glands.

Cell membranes, especially neuronal cell membranes, require both a degree of stiffness for integrity and a degree of fluidity or flexibility to allow for movement of receptors and transfer proteins and the like. Saturated fats play a key structural role, especially in myelin, with palmitic acid being the most abundant one. It serves to anchor the phospholipids and sphingolipids (structural membrane lipids built on glycerol or sphingosine backbones that line up in bilayers to form the membranes of neurons, axons, dendrites, synapses, and organelles, such as mitochondria). The palmitic acid keeps the bilayers tightly packed to optimize the insulation capability required for rapid signal transmission across long distances. Remembering, of course, that the length of an axon could extend from the brain to the big toe.

It’s not accidental (though it may come as a surprise to some) that human breast milk is almost 50% saturated fat, which the infant’s brain needs in plenty to build the enormous numbers of new cells and connections and all the insulating myelin attendant to that during the first few years of life.

But as the need to feed the brain for proper growth and cognition doesn’t end with cessation of breastfeeding, neither should the intake of good quality fats, including saturated fats. This is but one of the reasons the new HHS directive to give growing children full fat milk and dairy is such a boon to their nutrition and health. What they don’t need is processed junk full of sugar, concentrated refined starches, seed oils, and additives.

And, if the suggestive data from the Swedish study is any indication, the need of the brain for quality fats (including saturated animal fats) doesn’t stop throughout life. Dietary fat (from natural whole food) will provide the building blocks to keep myelin sheaths in good repair, to build new mitochondrial and cell membranes and keep them fluid but with integrity, and the raw materials to make important signaling molecules. Good fat makes good brains, so it should come as no surprise that eating it would reduce the development of dementia as we age. This study is observational and thus can only suggest hypotheses and avenues for future investigation, but it’s intriguing. Those kinds of ‘further’ studies would be difficult (and expensive) to undertake, if they could reasonably be done at all.

The brain is not a low-fat organ, and it was never designed to be fed like one. From the first months of life, when myelin is being laid down at a furious pace, to the last decades, when its maintenance determines whether the mind stays sharp or fades, fat is not the enemy of the brain — it is its substrate. Demonizing dietary fat, particularly saturated fat from whole food sources, while the modern diet drowns the brain in sugar and industrial oils, has been one of the more consequential misdirections in nutritional science. The Swedish study is one small corrective signal in a long-overdue recalibration.

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MetFix Foundations Q&A https://brokenscience.org/metfix-foundations-qa-2/ https://brokenscience.org/metfix-foundations-qa-2/#respond Tue, 17 Feb 2026 20:25:23 +0000 https://brokenscience.org/?p=23097 Q&A session with MetFix Head of Education Pete Shaw and Academy staff Karl Steadman

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Friday, Feb. 20th, 6 p.m. GMT / 1 p.m. ET

Live Q&A with MetFix Head of Education Pete Shaw and Academy staff Karl Steadman for a direct conversation about the MetFix Foundations Seminar, what it is, who it’s for, and why it matters.

Pete and Karl walk through what’s actually taught at Foundations, how it differs from other continuing education, and how it fits into the broader MetFix method.

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Hair Loss with Weight Loss https://brokenscience.org/hair-loss-with-weight-loss/ https://brokenscience.org/hair-loss-with-weight-loss/#comments Tue, 17 Feb 2026 19:00:46 +0000 https://brokenscience.org/?p=23067 The physiology behind post-weight-loss hair shedding

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The MetFix mission is one focused on improving the health and fitness of its members (regardless of where they begin their journey) through regular performance of constantly varied functional exercise and the consumption of a nutrient-dense diet of real foods that provide plenty of quality complete protein and good fats, absent much starch or sugar. Particularly in people who start out distinctly unfit metabolically, who have been sedentary and eating a typical diet of processed foods, high in starch, sugar, and industrial seed oils for some time, the changes brought about by adopting the MetFix methodology can be stunningly rapid, especially improvements in metabolic measures, such as triglycerides, blood sugar, blood pressure. Early on people will typically notice improvements in energy, sleep quality, and mood (exercise is a great antidepressant). Weight loss, fat loss, and muscle gains take a bit more time, but will follow suit with perseverance and consistency.

And, unfortunately, for some people, so will hair loss.

Shedding pounds of fat is a welcome benefit of making a positive lifestyle change; shedding hair not so much. But over years of caring for people following a well-formulated low-carb diet, I’ve seen it happen to men and women alike.

Why, they ask, when they’re eating better, living cleaner, and working harder are they now a few months into their new program suddenly losing hair? And I can assure you that seeing a shower drain full of hair is cause for considerable consternation. The natural human tendency is to link such a phenomenon to some deficiency in the newly adopted nutritional program – “I started this new keto thing and now my hair is falling out!” Quite often they’ll blame and even abandon their new diet. So, this is something coaches should be aware of, and if it happens, be prepared to reassure a client who experiences it that it’s nothing to worry about.

The likeliest explanation is telogen effluvium—the medical moniker for it.

(One word of caution: the likeliest cause of hair loss doesn’t mean only cause, so persistent cases merit a visit to the dermatologist to search for other causes.)

What is Telogen Effluvium?

Sudden loss of hair can accompany a wide range of systemic conditions. Illness and high fever can cause it. Anesthesia, radiation, some medications, and surgery can as well. Pregnancy, too. And so can marked weight loss, from dieting, GLP-1RA use, obesity surgery, or whatever cause. Paradoxically, changing your lifestyle positively by exercising properly and eating right can even cause it.

The explanation lies in the physiology of hair growth.

Humans are born with about 5 million hair follicles on their bodies, with between 100,000 and 150,000 of them residing on the scalp. The number is fixed before birth and doesn’t change, at least it doesn’t increase (though in the case of genetic baldness, the number can decrease when some of them simply quit functioning). Each hair shaft grows out of a single follicle that throughout the course of its life will cycle repeatedly through various growth stages. These are:

  • Anagen: the active growing stage (usually lasting years) in which the stem cells and matrix in the follicle base are actively dividing and producing keratin, elongating and thickening the hair shaft. Normally about 85 to 90% of the 100,000 or so hairs on the average human head are in this growth phase at any one time.
  • Catagen: a brief transition phase (lasting a few days to weeks) when a small percentage of the active hair follicles begin to slow down the cell division and keratin production that elongates and maintains a hair shaft in preparation to rest a while.
  • Telogen: a phase following catagen, lasting 2 to 4 months, when the follicle is completely at rest. The hair shaft it’s built remains anchored to it, but the hair is no longer growing. Normally only about 10 to 15% of the follicles on a human scalp are in this dormant state at any one time, a feature designed to prevent synchronous shedding and over-thinning of the hair.
  • Exogen: the shedding of dormant hair shafts.

Major metabolic stressors, such as those listed above, or sudden metabolic changes—even positive ones like making a major beneficial dietary shift—can throw a much larger percentage of active follicles suddenly into telogen, the dormant state.

After making the big switch, for example, from the Standard American Diet to a low-carb/ketogenic structure, at first there’s nothing much to see, because the ‘old hair’ is still anchored in place, even though the hair follicles have been put into telogen. Everything seems to be going well for a few months, but that resting stage will pass in two, three, four months, and when it does, the dormant follicles will re-activate. The old hair shafts of those re-activating follicles are finis, caput; the follicles can’t add onto them any longer. They can, however, build brand new healthy hair shafts from the ground up. And that’s what they do.

As the tiny new hair begins to form in the base of the follicle it ultimately pushes out the old, dormant hair shaft, and the scalp loses that hair. When 25% or 30% or 50% or more of the active follicles have been thrown into telogen by the sudden systemic stress or metabolic change, they will start to be pushed out in rapid succession, causing telogen effluvium—the flood of shedding hair caused by a large number of follicles coming out of their resting phase at once.

If inspired by the metabolic changes wrought by switching to a nutrient-dense diet, be assured, everything is in place to ensure new shafts are growing. They’ll ultimately be visible as fine new hairs around the edges of the hairline if you look with care. Certainly it will take many months of active shaft growth for a tiny new hair to replace a longer one that’s been shed, but the person will in time recover their normal head of hair. Or maybe even a shinier, more vibrant one.

The main takeaway is to recognize telogen effluvium is not an uncommon event. It may occur in anyone 2 to 4 months out from surgery, major illness, pregnancy, and sometimes just from making the transition from a lousy diet and sedentary lifestyle to the MetFix methodology. It doesn’t happen to everyone, but occurs often enough that a coach will want to be aware and step in with reassurance that this, too, shall pass. The explanation of what’s going on is usually enough to keep that person traveling their road to metabolic rehabilitation.

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MetFix Port Clinton Power Couple https://brokenscience.org/metfix-port-clinton-power-couple/ https://brokenscience.org/metfix-port-clinton-power-couple/#respond Tue, 17 Feb 2026 15:37:34 +0000 https://brokenscience.org/?p=23064 The Daley Fix with Brett and Lexis Bauer

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Streams live, Tuesday Feb. 17, 11 a.m. ET / 8 a.m. PT

Listen in as Brett and Lexis talk about what it’s like running a MetFix gym as a married couple. You’ll hear about all the incredible programs they run out of their affiliate for their local community.

This series is built for coaches, owners, and leaders who want to expand their impact in their community. We’re talking with coaches who are redefining what it means to serve outside the standard class model.

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The Total Prescription https://brokenscience.org/the-total-prescription/ https://brokenscience.org/the-total-prescription/#respond Wed, 11 Feb 2026 18:52:52 +0000 https://brokenscience.org/?p=22984 A Conversation with Bruce Edwards on Metabolism, Community, and the Road to Health

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In this interview at a MetFix Foundations Seminar in Seattle, Bruce Edwards—who served for several years as Chief Operating Officer of CrossFit Inc. —reflects on his long relationship with Greg Glassman, the evolution of the fitness movement, and what drew him to MetFix as an attendee. Edwards describes himself as an average athlete who nonetheless experienced profound improvements in health and strength through training and community, but admits that longstanding struggles with sugar addiction and deteriorating biomarkers persisted despite decades immersed in fitness culture. He explains that MetFix resonated because it connects behavior change, chronic disease, and aging to mitochondrial energy systems, offering the biochemical understanding he believes is essential for both coaches and individuals. In conversation with Emily Kaplan, Edwards points out that loss of metabolic health and mobility—not aging itself—is what ultimately erodes independence and quality of life, drawing on personal family experience. He frames MetFix not as a replacement for movement-based training, but as its nutritional and metabolic foundation: a complementary entry point that empowers people to make informed choices, restore health, and improve the human condition through education, community, and practical application.

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Is mitochondrial dysfunction the root cause of hereditary cancer syndromes? https://brokenscience.org/is-mitochondrial-dysfunction-the-root-cause-of-hereditary-cancer-syndromes/ https://brokenscience.org/is-mitochondrial-dysfunction-the-root-cause-of-hereditary-cancer-syndromes/#respond Thu, 05 Feb 2026 17:09:15 +0000 https://brokenscience.org/?p=22942 Journal Club: February 5, 2026

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Hot off the press, Bob Kaplan’s new paper explores the metabolic nature of hereditary cancer syndromes. His paper makes a case for the metabolic theory of cancer as it relates to the precise mutations many cite as proof for the somatic mutation theory.

Featured paper:

Special for this month, the Journal Club meeting is free for anyone to watch via YouTube. BSI Medical Society Members and MetFix affiliates can still access all the past meeting in their Dashboard.

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The Sad Push to Polypharmacy https://brokenscience.org/the-sad-push-to-polypharmacy/ https://brokenscience.org/the-sad-push-to-polypharmacy/#respond Wed, 04 Feb 2026 15:43:57 +0000 https://brokenscience.org/?p=22913 When number-chasing replaces treating the root cause

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It’s not breaking news that medicine in the US today needs a makeover. We’ve become a nation of far too many overweight, out-of-shape, and chronically ill citizens, both young and old; a trajectory that is non-sustainable. One reason for this sad state of affairs is the near-complete financial capture of everything that touches health care: the media, academia, research, medical journals, and the governmental regulatory agencies, all of which has led to a misguided groupthink that the solution to all diseases lies in finding another pill, injection, or vaccine.

Americans already spend twice (or more) as much per capita on health care as Europeans and Canadians do, and yet have poorer average health and longevity to show for it.

A MedScape Scenario

The issue was exemplified by a MedScape quiz sent out recently concerning the proper next steps to address the persistently elevated blood pressure of a patient named Thelma. Her history was described in the introduction thus:

“Thelma has had check-ups every 1 or 2 months for 5 months now, and her hypertension continues to be an issue. Her workup for secondary hypertension was negative. Her daily regimen now includes losartan (100 mg), hydrochlorothiazide (25 mg), and amlodipine (10 mg). However, her blood pressure remains elevated. Her office blood pressure is 144/90 mmHg, and she completed an ambulatory blood pressure monitor test which showed an average blood pressure of 138/84 mmHg, with less than 10% dipping at nighttime. Her pulse rate ranges from 68 to 83 beats per minute.

She remains asymptomatic and adherent to her medications. She has tried to eat a more plant-based diet and has lost 1 kg in the past 5 months. An estimated glomerular filtration rate completed 2 weeks ago was 48 mL/min/1.73 m² (reduction of four units from 5 months ago), and her potassium level is now 4.2 mEq/L.”

The slight drop in her eGFR (an estimated measure of kidney filtering capacity based on the person’s creatinine measurement) is likely not all that significant. The eGFR can vary a fair bit due to lab imprecision, the person’s hydration status, diet, other concurrent illnesses that may be present, and day‑to‑day creatinine fluctuation, even when true kidney function is stable.

In a nutshell, this lady’s story is that she has been worked up for causes of secondary hypertension with none found, put on three prescription medications to control her pressure, told to ‘eat a more plant-based diet’ which she’s tried to do, and been followed monthly for 5 months. And despite this standard of care treatment she’s lost but 1 kg and her pressure is still not where her physician would like to see it, even though it is not outrageously higher than the 130/80 the ACC and AHA now recommend as ‘controlled’ hypertension.

So the dilemma is what to do next. And the first question of the MedScape quiz offers the clinician four choices as to what that should be. Choices 1, 2, and 3 are each the addition of a fourth pill to control her pressure—add atenolol 25 mg a day, add hydralazine 25 mg three times a day, or add spironolactone 25 mg a day. And the fourth choice is outrageous – refer her for evaluation for renal denervation, basically a procedure to destroy the sympathetic nerve input and output from her kidneys. Pretty extreme for a pressure mildly above what you’re aiming for and what looks to be stable kidney function.

This quiz exemplifies the kind of not-so-subtle brainwashing that passes itself off as continuing medical education. And it’s unconscionable. Why?

To begin with, she’s asymptomatic, they say and has ‘remained so’ which suggests that she was asymptomatic from the jump, and perhaps her high pressure reading was discovered incidentally. But medical management has abandoned the notion of looking at and treating the whole living person; too often it’s become an exercise in number chasing—whatever it takes, however many pills or shots need to be piled on to get a cholesterol under 200 mg/dL, get an LDL under 70 mg/dL, get a blood pressure under 130/80 mmHg.

And it’s illuminating to point out that not so very long ago a blood pressure reading of 140/90 was considered normal, and it still is considered normal in Europe and Japan where general health and longevity is better than ours. Now in the US, however, it’s been codified as a cause for three (or four) medications a day and a possible renal denervation procedure. How did that happen? Pharma capture of the narrative is how.

What could we do to help Thelma?

The introduction doesn’t tell us anything about Thelma’s physical state or other lab values. Is she overweight? (probably) Sedentary? (probably) Is her insulin elevated? (probably) Are her glucose or triglycerides high? (probably) Does she have a high waist circumference, reflective of excess storage of visceral fat and fatty liver? (probably). And if so, all of that points to underlying Metabolic Syndrome (MetS). Did they look at these things in that light? We don’t know, but they should have.

When secondary causes of hypertension have been eliminated, as they tell us they have been with Thelma, the likeliest root cause is MetS – i.e., insulin resistance – and its effects that cause the kidneys to hold onto sodium and excess fluid, among many other physiologic changes that may result in blood pressure elevation as a manifestation of the metabolic dysfunction.

And fortunately there’s a simple fix for that, but it doesn’t come in a gelatin capsule, tablet, or syringe, so there’s no corporate profit in it. It comes in a ‘Box’. It’s a whole food, protein-and-fat-rich, low-carb, ketogenic diet plus functional movement (aka MetFix methodology). Instruct Thelma to eat meat, fish, poultry, eggs, dairy, nuts, seeds, fresh vegetables, little fruit, little starch, and no sugar for a month. Have her keep a careful journal of what she’s eating every meal, because doing so increases the chance of success in implementing a lifestyle change. Get her off the couch and into the Box, and watch what happens. This approach will most assuredly reap more than a 1 kg weight loss in 5 months and countless other benefits to her health and longevity.

But changing Thelma’s diet and adding resistance training and functional exercise was nowhere to be found on that approved list of correct next steps, even though a low-carb/ketogenic diet has been shown in repeated clinical trials to improve or resolve most of the symptoms of MetS. It predictably offers quick reduction of elevated triglycerides, blood sugar, and insulin. HDL typically rises (and not much else does that but exercise). There will be weight loss and girth loss. If present, GERD improves. And in many cases (though not all, but about 80 to 85% of them) it markedly reduces blood pressure as well.

As a colleague once said to a group of physicians not yet acquainted with the power of the right nutritional structure: nothing in your experience will prepare you for how quickly this diet will work.

In fact, if her hypertension responds to the diet, it could drop her pressure so quickly that she will need to be weaned off her pills or risk falling on her face when she stands up! In our clinical practice we removed diuretics immediately upon commencing the diet and tapered other antihypertensives that might cause rebound in the pressure if removed abruptly. Our goal was always to get rid of pills, not to add another.

Sadly, this scenario isn’t rare. The country is filled with Thelmas. And all of them deserve a chance to get off the add-a-pill carousel and reclaim their health and fitness with good nutrition and proper exercise. And that’s where MetFix comes in. It’s not always easy, but it’s simple. And amazingly effective.

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