Tag Archives: nutrition

Epigenetics & Circadian Biology: Prader-Willi

I came across a recent study on a mouse model of Angelman Syndrome (an epigenetic disorder), and wasn’t surprised to learn there’s a strong circadian component to it.  Epigenetics are one of the main ways circadian rhythms are programmed.

In this case, the circadian connection is more direct.

Angelman Syndrome (AS): you inherit 2 pairs of each gene, one from Mom and one from Dad.  In some cases, one of the copies is silenced via epigenetics and you’re basically just hoping the other one is in good shape.  In the genetically relevant region in AS, the paternal copy is silenced and the maternal copy does all the heavy lifting, but in AS, the maternal copy is mutated or absent, so none of the genes in this region are expressed.

Interestingly, scientists found that one of the genes, Ube3a (an ubiquitin ligase), is involved in regulating Bmal1, a core circadian gene (Shi et al., 2015) . And mice with a silenced paternal Ube3a and mutant maternal Ube3a exhibit many of the same circadian symptoms of children with AS. They don’t mimic all of the symptoms as there are many other genes in this region.  But both show circadian abnormalities.

Prader-Willi Syndrome (PWS) is the epigenetic opposite: same region of DNA, but silenced maternal copy and mutant or absent paternal copy. This disorder is characterized by massive obesity and low muscle mass (among other things).

Prader-Willi

While reading about this disorder, I was taken aback with how the obesity was explained.

“Insatiable appetite” (Laurance et al., 1981), although from what I can gather, these children would develop massive obesity even if they were fed cardboard.  Some studies even showed no change in food intake and/or energy expenditure (eg, Schoeller et al., 1988), which led some researchers to publish entire papers about how these children must be lying and/or stealing food (eg, Page et al., 1983) .

Further, other researchers even explained their obesity was due to an inability to vomit (Butler et al., 2007).

THEY’RE OBESE BECAUSE THEY’RE NOT BULEMIC.

AYFKM?

When these kids gain weight, it’s nearly all fat mass; when they lose weight, it’s nearly all muscle [shoulda been a BIG hint]… this even led some researchers (who detected no change in fat mass after significant weight loss) to conclude that their techniques to assess body composition must not be valid in this population because: surely, they must’ve lost some fat mass like normal people do.

THEY FAILED TO CONSIDER THIS IS AN EXTREME CIRCADIAN MISMATCH DISORDER IN NUTRIENT PARTITIONING

It was actually painful to read: these kids are being accused of stealing food and not vomiting because that’s the only way to explain it.

NO IT’S NOT, SCIENCE.

They can be forced into losing fat while maintaining some muscle with an extreme protein-sparing modified fast (eg, Bistrian et al., 1977)…

A few research groups have considered the possibility it’s a hormonal disorder, and some fairly long-term studies with GH replacement have shown promising results (eg, Carrel et al., 1999).

Prader-Willi Food Pyramid. Wait, wut? O_o

Prader-Willi Food Pyramid.
Wait, wut?
O_o

Some have even speculated involvement of leptin (eg, Cento et al., 1999), although this hasn’t been followed-up on.

Disclaimer: I don’t know the cure or best treatment modality for Prader-Willi, although given the strong circadian component in its sister condition, Angelman’s Syndrome, I strongly believe this avenue should be explored (in combination with the seemingly necessary hormonal corrections, which have been the only successful interventions yet).  “Diet” doesn’t work; these kids aren’t obese because they’re stealing food or failing to vomit.  Interventions strictly targeting CICO have massively failed this population.

Side note: in the Angelman Syndrome mouse model, *unsilencing* the paternal copy worked… maybe the same could work in PWS (and/or other forms of obesity)…?

Evidence supporting potential circadian-related treatment modalities for PWS:

A Prader-Willi locus IncRNA cloud modulates diurnal genes and energy expenditure (Powell et al., 2013)

Symptoms of Prader-Willi associated with interference in circadian, metabolic genes.

Magel2, a Prader-Willi syndrome candidate gene, modulates the activities of circadian rhythm proteins in cultured cells (Devos et al., 2011)

Circadian fluctuation of plasma melatonin in Prader-Willi’s syndrome and obesity (Willig et al., 1986)

And the connection with LIGHT:

Artificial light at night: melatonin as a mediator between the environment and the epigenome (Haim and Zubidat, 2015)

Circadian behavior is light re-programmed by plastic DNA methylation (Azzi et al., 2014)

PWS is much worse than just nutrient partitioning (seriously, just spend a few minutes on any Prader-Willi support forum or this; maybe it is an appetite disorder, but given the data on weight gain [mostly fat mass] and weight loss [mostly muscle mass], it seems far more likely a circadian disorder of nutrient partitioning),
but that component jumped out at me; more specifically, despite the only positive results coming from non-dietary interventions, researchers were still all “#CICO.”

“Lean meat, sugar-free Jello, and skim milk”
FFS

Circadian biology, hormone replacement [where appropriate], and figure out if any specific diets help.  PMSF/CR doesn’t work unless “refrigerators and cabinet pantries are locked shut.”

Maybe this applies to other forms of obesity, too.
Maybe.

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The “Insulin Index”

Similar to the glycemic index, which is an estimate of the rise in blood glucose after eating a particular food, the insulin index is an estimate of the rise in insulin after eating a particular food.  In general, these indices are obvious: processed carbs have high glycemic and insulin indices, whereas whole foods are lower.  Some exceptions are things like dairy and lean meat, which induce more insulin than you’d expect given to their low carbohydrate content…

STORY TIME

When some protein-rich foods were discovered to induce insulin secretion, people thought this information might help type 1 diabetics more accurately calculate their insulin dose.  Interesting rationale, worth testing.

Tl;dr: it didn’t work very well.

More of the protein-derived amino acids may have been incorporated into lean tissue, but the extra insulin load ended up causing hypoglycemia more often than not.  Hypoglycemia is acutely more harmful than hyperglycemia, and is still quite harmful in the long-term.  Some studies on incorporating the insulin index for type 1 diabetics are mixed, ie, increased or no change in risk of hypoglycemia, but no studies show it reduces the risk.

 

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“Insulin Dynamics”

This one has a bit for everyone.

 

Relationship of Insulin Dynamics to Body Composition and Resting Energy Expenditure Following Weight Loss (Hron et al., 2015)

 

I think study was actually done a few years ago, originally published here (blogged about here), and re-analyzed through the eyes of Chris Gardner.  I think. (But it doesn’t really matter as the study design appears to be identical.)

 

Experiment: give someone an oral glucose tolerance test (75 grams glucose) and measure insulin 30 minutes later.  Some people secrete more insulin than others (a marker of insulin resistance); these people also have a lower metabolic rate after weight loss = increased propensity for weight regain.  However, if these people follow a low carbohydrate diet, then the reduction in metabolic rate is attenuated.  Some people who don’t secrete a lot of insulin after a glucose load may do better in the long-run with a lower fat diet.

 

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Some nuances of Intermittent Fasting

Intermittent fasting (IF) is not a universal panacea, regardless of whether you’re not eating anything at all for a few days each week/month or just restricting your feeding window to a few hours per day.

Some protocols, eg, 20h fasting every second day, significantly improve insulin sensitivity in adipose tissue (Halberg et al., 2005). This is expected to make fat gain easier, and while this wasn’t meant to be a study on body composition per se…

 

body composition

 

After just a few weeks, things weren’t changing in a good way (NS).

 

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A brief explanation of Hall et al., ie, THE LOW CARB WAR

“Examination of acute shifts in energy balance by selectively reducing calorie intake from one macronutrient.”

Intro (1/2): please don’t read this study with the media headlines in your mind.  Don’t even pay any attention to the study’s title, abstract, intro, and discussion.  In no way did this study put low carb proper on the chopping block, regardless of what you’ve seen online or elsewhere.  Mmmkay?

 

Intro (2/2): if you want a lesson (or refresher) in Advanced Nutrition, check out the Supplemental Information: in formulating his mathematical models, Dr. Hall seemingly reviewed every single biochemical pathway and physiological variable ever invented.  Read it, for science.  Really.

 

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Ketosis is a hack: here’s why

There are multiple distinct flavors of diabetes/obesity, as evidenced by the fact that some people have: 1) impaired glucose tolerance (but normal fasting glucose); 2) others have impaired fasting glucose (but normal glucose tolerance); and 3) others have both.  This means there isn’t a linear relationship between these phenomena*.  There are also: 4) obese patients with normal glucose metabolism; and 5) lean patients with type 2 diabetes.

*I think the great Dr. Kraft may have missed some of the nuances here.

There is not 100% overlap among these, suggesting [confirming] distinct diabetes/obesity phenotypes (and probably causes & best treatments).

 

 

midnightsun

 

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Dawn PheNOMNOMNOM

Many pre-diabetic, diabetic, and insulin resistant people have used the low carbohydrate diet to successfully manage their blood glucose levels.  It just plain works.  FACT (P<0.05).

However, a small subset of this population fails to achieve normal fasting glucose.  This is likely due, in part, to a type of circadian mismatch induced by aberrant meal timing and excess exposure to artificial light at night.  For an extensive list of citations supporting the former, see “Afternoon Diabetes;” stay tuned for evidence of the latter.  In brief, a combination of delaying food intake for as long as possible after waking in the morning (“skipping breakfast”) and consuming most calories at night = no bueno.  These behaviors can also promote a circadian mismatch and phase delay.  Hint: eat when the sun is up; sleep when it is down.

 

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Marijuana

Marijuana is a very complex plant: many different strains with differing profiles of psychoactive, non-psychoactive, and peripherally-active compounds that impact metabolism.  Most have THC, which activates endogenous cannabinoid receptors and mimics many of the effects of smoked marijuana (eg, see studies by Hart, Wachtel, and Curran).

Do not underestimate the complexity of this plant.

"LOL"

“LOL”

I’m not ‘anti-pot’ as there are far worse drugs out there… however, some advocates make really bad “pro” arguments, like saying it’s actually healthy (or at least not harmful in any way)…
there are many independent lines of evidence which suggest otherwise, metabolically speaking.

MJ not crack

Rimonabant, the notorious pot-blocker, reduces appetite and is a fairly effective weight loss drug, but has the unfortunate side effect of doing the opposite of marijuana, psychologically speaking.  See any of the RIO studies, eg:

weight loss Rimonabant

All participants lost weight and experienced improved metabolic profiles, insulin sensitivity, etc., by blocking endogenous cannabinoid receptors.

Adverse effects?  Wellll, there’s a drug called Marinol (pure THC) that’s technically an anti-emetic (reduces the urge to vomit); it improves appetite in patients with conditions associated with anorexia or wasting.  It’s a cannabinoid agonist.  Blocking CB1 with Rimonabant induces nausea in some patients: no bueno, but not unexpected given the known effects of Marinol.  Rimonabant is also associated with depression and anxiety (in some patients); also not unexpected.

So, it’s not a good idea to block this receptor pharmacologically (for psychological reasons) or activate it recreationally (for metabolic reasons).  Obesity researchers (and big pharma no doubt) are still looking for a pot-blocker that doesn’t penetrate the brain  to avoid the negative psychological side effects (eg, Klumpers et al., 2013).

Best. Graph. Ever.  The effect of Rimonabant on how stoned participants felt after smoking pot.  Yes, “Stoned” was published in the Journal of the American Medical Association (Huestis et al., 2001).

Stoned

Indeed, Rimonabant effectively treats “cannabis intoxication” (Crippa et al., 2012).  Antagonist versus agonist 101.

Part II: the biological effects of cannabis, THC, marijuana, and antagonists, etc.

THC acts like insulin on adipocytes: increased adipogenesis, fatty acid uptake, and decreased lipolysis (eg, see studies by Teixeira and Cota).   Munchies, anyone?

Cannabinoids and mimetics/agonists induce hunger and repress satiety; cannabinoid blockers induce satiety and weight loss.  However, I actually don’t think marijuana is obesogenic aside from its anti-anorexic effects.  Cannabis use is not always associated with obesity, possibly due to confounding and/or the lack of good crossover studies (you can’t really do a proper study in healthy humans with MJ for ethical reasons).  But most rodent studies agree that cannabinoids, acting via cannabinoid receptors, induce metabolic syndrome-like effects in nearly every single tissue and on the whole-body level.

CB1 cannabinoid receptor deletion in mice leads to leanness, resistance to diet-induced obesity, and enhanced leptin sensitivity (Trillou et al., 2003).  For context, mice lacking CB1 is somewhat analogous to humans not smoking marijuana.

In liver, cannabinoid signaling induces fat accumulation and insulin resistance (Osei-Hyiaman et al., 2008).  This is absent in CB1 and liver-specific CB1 knockout models.   Mice overexpressing this receptor in liver exhibit increased insulin resistance (Liu et al., 2012).

Activating cannabinoid receptor-2 (CB2) causes insulin resistance and adipose tissue inflammation, and this is blunted in mice lacking CB2 (Deveaux et al., 2009).

Stoned

The knockouts & over-expressing rodent models, and pharmacological agonist & antagonist studies are all consistent.  That said, I still don’t think this is the worst recreational drug out there, even among “legal” ones.

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Saturated fat, cholesterol, and carbohydrates

“You catch more flies with honey…”

^^^good policy in general, but especially for debating in the realm of nutritional sciences.

 

A short while back, Nina Teicholz discussed low carb ketogenic diets and plant-based diets with John Mackey.  Although I disagree with the dichotomy (keto vs. plant-based), it’s well-worth a watch:

 

 

Three topics that could not be avoided in such a discussion: saturated fat, cholesterol, and carbohydrates.

 

 

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Good calories

Nuts are good calories.

I’m not a big fan of the omega-6 fatty acid linoleate, but that’s largely in the context of processed foods and confectioneries, where it’s more than likely no longer in it’s native form (Dc9,1218:2n6)… but in the context of unprocessed whole foods (eg, nuts), a little n6 is fine imo.

What are good calories?  They’re nutrient-dense and don’t generally lead to overeating… like the opposite of soda and junk food.  Nuts are low carb and many are highly ketogenic (eg, Brazils, macadamias, and pecans are ~90%fat).  Mr. Ramsey may even approve of macadamias because they have virtually zero PUFAs.

BONUS: magnesium, copper, selenium, many trace minerals and micronutrients, etc., etc.

I’m not saying you should crack open a can of Deluxe Mixed Nuts and sit down with nothing to do other than NOM NOM NOM ALL THE NUTZ.  I’m talking about a few nuts with a meal.  Possibly earlier in the day (coinciding with LIGHT); nuts are tryptophan-rich and this may improve melatonin onset -> good for circadian rhythms:

nuts and melatonin

Appetitive, dietary, and health effects of almonds consumed with meals or as snacks: a randomized controlled trial (Tan and Mattes, 2013)

In this study, the participants were instructed to eat a serving of almonds (~43g, ~245 kcal) daily for four weeks, at different times of the day (with breakfast, midmorning snack, lunch, or afternoon snack).

Regardless of when the almonds were consumed, the calories were practically completely compensated for.  The participants unwittingly ate less other stuff.  And in 3 out of 4 of the conditions, the almonds were so satiating that the participants actually ended up eating fewer overall calories.

That, in a nutshell, is what I call “good calories,” and I don’t think it’s too far from Taubes’ original definition… especially because it was accompanied with [modest] reductions in body fat (NS).  To be clear, they were instructed to eat more (in the form of almonds), but ended up eating less, BECAUSE ALMONDS.  This wasn’t a cross-sectional study, so no healthy user bias or other obvious confounders.

Further, the participants clearly weren’t obesity resistant.  They were overweight, obese, or lean with a strong family history of type 2 diabetes.  Sam Feltham would’ve been excluded.

This is not an isolated finding: another study showed a dose-dependent response to almonds: 28g or 42g consumed in the morning resulted in a compensatory reduction of hunger and total energy intake at lunch and dinner (Hull et al., 2014).  This wouldn’t happen with soda or junk food.

Another study tested ~350 kcal almonds daily for 10 weeks and concluded: “Ten weeks of daily almond consumption did not cause a change in body weight. This was predominantly due to compensation for the energy contained in the almonds through reduced food intake from other sources” (Hollis and Mattes, 2007).

Almonds vs. complex carbs? Almonds, FTW.

1 Brazil nut daily: “After 6 months, improvements in verbal fluency and constructional praxis (two measures of cognitive performance) were significantly greater on the supplemented group when compared with the control group.”    ONE FRIGGIN’ NUT!

http://www.dreamstime.com/-image11630100

Walnuts protect against alcohol-induced liver damage (in rats) (Bati et al., 2015) and may improve brain health (in humans) (Poulose et al., 2014).

Pistachios improve metabolic and vascular parameters (Kasliwal et al., 2015).

Meta-analysis (not an intervention study): nut consumption is associated with lower risk of all-cause mortality (Grosso et al., 2015). Yeah yeah yeah, I know, correlation =/= causation.  Whatever.

Nuts are good calories.  That’s all I’m saying.

Tl;dr: buy these and one of these, not this.

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calories proper

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