Category Archives: insulin

Pharmaceutical-grade circadian enhancement?

Is it possible to improve the amplitude and resiliency of your circadian rhythms?  Is this desirable?  Yes and yes, I think.

Go the fuck to sleep.png

 

Introducing, the aMUPA mice (Froy et al., 2006).  What you need to know about ’em: they have very robust circadian rhythms.  How is this assessed?  Take some mice acclimated to their normal 12 hour light-dark cycle (LD) and place them in constant darkness (DD).  Then take liver biopsies and measure circadian genes to see how well they still oscillate throughout the dark day; this is also known as the free-running clock, and it craps out differently in different tissues depending on a variety of factors.  Most of the time, however, it’ll run for a few days in the absence of light.  Circadian meal timing also helps to hasten re-entrainment.

 

 

Note in the figure below: 1) there are two distinct lines of aMUPA mice; and 2) both exhibit a greater amplitude in circadian oscillations during free-running, or DD conditions.

strong circadian rhythms

 

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“Afternoon diabetes” and nutrient partitioning

Don’t exacerbate afternoon diabetes with afternoon carbs.

Skeletal Muscle
As discussed previously [at length], insulin sensitivity in skeletal muscle follows a circadian pattern: starts out high in the morning and wanes throughout the day.

Diurnal variation in oral glucose tolerance: blood sugar and plasma insulin levels, morning, afternoon and evening (Jarrett et al., 1972)

impaired circadian glucose tolerance in the morning

Diurnal variation in glucose tolerance and insulin secretion in man (Carroll and Nestel, 1973)

Circadian variation of the blood glucose, plasma insulin and human growth hormone levels in response to an oral glucose load in normal subjects (Aparicio et al., 1974)

Adipose Tissue
And insulin sensitivity of adipose tissue goes in the opposite direction: starts out low, and increases as the day progresses.

Diurnal variations in peripheral insulin resistance and plasma NEFA: a possible link? (Morgan et al., 1999)
The studies were standardized for a period of fasting, pre-test meal, and exercise… Following insulin, NEFA fell more slowly in the morning (149 uM/15 min) than in the evening (491 uM/15 min).

Diurnal variation in glucose tolerance: associated changes in plasma insulin, growth hormone, and non-esterified fatty acids (Zimmet et al., 1974)
Adipose tissue insulin sensitivity is greater in the evening.  FFA are higher, and get shut down more rapidly, after a carb meal in the evening.

Summary: to minimize blood glucose excursions and proclivity for fat storage, eat more calories earlier in the day; this is circadian nutrient timing.  And according to the Alves study, a low-carb protein-rich dinner best preserves lean tissue during weight loss.

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Ketoadaptation and physiological insulin resistance

This is where the magic happens.

Rat pups, fed a flaxseed oil-based ketogenic diet from weaning onward – note the drop-off in ketones after 2 weeks (Likhodii et al., 2002):

flaxseed ketogenic diet

What happened on day 17?

Patient history: these rats have been “low carb” their whole lives.

Side note: flaxseed oil is very ketogenic! (Likhodii et al., 2000):

ketogenic rodent diets

Flaxseed oil-based ketogenic diet produced higher ketones than 48h fasting; the same can’t be said for butter or lard.  PUFAs in general are more ketogenic than saturated fats in humans, too (eg, Fuehrlein et al., 2004):Saturated polyunsaturated ketones

Crisco keto (adult rats) (Rho et al., 1999):

shortening-based ketogenic diet

suspect those two rogue peaks were experiment days…

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2 New Diet Studies

*ugh* journalists

I’m talking to you, Mandy Oaklander!

Regarding the new low carb vs low fat study, she writes: “Popular diets are pretty much the same for weight loss, study finds.

Effects of low-carbohydrate and low-fat diets: a randomized control trial (Bazzano et al., 2014)

Further, “An earlier study in Annals of Internal Medicine did find that low-carb dieters lost slightly more weight than low-fat dieters after one year. The study today reached similar conclusions, but the differences in weight loss were not significant.”

Perhaps Mandy just doesn’t realize there’s a difference between significant, as in “meaningful,” and significant, as in “P<0.05.”  Pro-tip: you can tell them apart relatively easily, because the latter is usually accompanied by a cute little asterisk.  For example, the differences in weight loss were quite statistically significant (P<0.05):

Bazzano BW
She goes on to say “After a year follow-up, some of those pounds crept back for people on both diets…”

To that I say: yeah, but fat mass continued to decline in those on the low carb diet, meaning some of that weight re-gain was muscle:

Bazzano FM

So, between 6 and 12 months, carbs and calories were creeping up in the LC group, yet fat mass was still declining.  Perhaps this way of eating improved their metabolism, or restored the ability to effectively partition nutrients.

***in real-time: at this point, I realize that Mandy was actually talking about the other study, which she was covering accurately.  Sorry, Mandy!***

Bazzano PA

…so maybe the low-carb (LC) diet improved muscle mass because it was also high protein? …perhaps, but 19% vs 24% (71 vs 85 grams) isn’t a very big difference.  Alternatively, since the LC group really just maintained absolute protein intake (86 grams at baseline, 85 at month 12), whereas low-fat (LF) dieters decreased (86 grams at baseline, 71 at 12 months); perhaps this is why LF lost muscle mass..?  Still, those changes in protein intake are small, and I think people can be too quick to chalk up the benefits of LC to “high protein.”

In sum, this is actually one of the more “pro” LC studies.  And it wasn’t even a huge difference in carbs: 198 vs 127 grams/d at month 12 (54% vs 34%).  Big difference in fat mass; and CRP, a marker of inflammation, even declined in the LC group.

Low fat diet advocates have been giving me headaches for years… the low fat diet caused headaches (P<0.05):

Adverse Events 1

 

 

Adverse Events 2

The study Mandy was actually talking about: Comparison of weight loss among named diet programs in overweight and obese adults: a meta-analysis (Johnston et al., 2014)

It was a meta-analysis, which is just about the only type of study capable of taking down LC.

 

 

…but at least it had this cool chart (modified):

cool chart (modified)

cool chart (modified)

 

*ugh* scientists

crap

The macro’s in “Low fat” overlap with “Moderate,” implying “Low carb” is “EXTREME”  …the authors’ bias is subtle, I’ll give ‘em that, but I’m getting too old for this.

Dear Obesity Researchers,

If you want to design a study showing a low fat diet is as good as low carb for fat loss, here’s your best bet: recruit young, exercise-tolerant overweight patients who aren’t on any meds.  PROOF (see Ebbeling study).  Or find 10 similar ones and write up a pro-LF meta.

If you want to show low carb is better, recruit patients with obesity.

 

calories proper

Cyclical ketosis, glycogen depletion, and nutrient partitioning

Meal & exercise timing in the contexts of “damage control” and nutrient partitioning are frequent topics on this blog.  I generally opt for a pre-workout meal, but nutrient timing hasn’t panned out very well in the literature.  That’s probably why I’m open to the idea of resistance exercise in the fasted state.  A lot of pseudoscientific arguments can be made for both fed and fasted exercise, and since a few blog posts have already been dedicated to the former, this one will focus on the latter.

The pseudoscience explanation is something like this: since fatty acids are elevated when fasting, exercise in this condition will burn more fat; and chronically doing so will increase mitochondria #.  The lack of dietary carbs might enhance exercise-induced glycogen depletion, which itself would bias more post-workout calories toward glycogen synthesis / supercompensation.  Much of this is actually true, but has really only been validated for endurance training (eg, Stannard 2010, Van Proeyen 2011, & Trabelsi 2012; but not here Paoli 2011)… and the few times it’s been studied in the context of resistance exercise, no effect (eg, Moore 2007 & Trabelsi 2013).  However, there are some pretty interesting tidbits (beyond the pseudoscience) which suggest how/why it might work, in the right context.

Exercising fasted or fed for fat loss?  Influence of food intake on RER and EPOC after a bout of endurance training (Paoli et al., 2011)

John Kiefer, an advocate of resistance exercise in the fasted state, mentioned: “the sympathetic nervous system responds quicker to fasted-exercise. You release adrenaline faster. Your body is more sensitive particularly to the fat burning properties of adrenaline and you get bigger rushes of adrenaline.”

Much of this is spot on.  That is, ketogenic dieting and glycogen depletion increase exercise-induced sympathetic activation and fat oxidation (eg, Jansson 1982, Langfort 1996, & Weltan 1998).

The question is: can this improve nutrient partitioning and physical performance?  Magic 8-Ball says: “Signs point to yes.”  I concur.

Contrary to popular beliefs, glycogen depletion per se doesn’t harm many aspects of physical performance.  A lot of fuel systems are at play; you don’t need a full tank of glycogen.

Effect of low-carbohydrate-ketogenic diet on metabolic and hormonal responses to graded exercise in men (Langfort et al., 1996)

High-intensity exercise performance is not impaired by low intramuscular glycogen (Symons & Jacobs, 1989)

Increased fat oxidation compensates for reduced glycogen at lower exercise intensities (eg, Zderic 2004), and ketoadaptation may do the same at higher intensities.

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Circadian phase delays and metabolism

Remember the “jet lag-resistant” mice?  Guess what: screw with circadian biology and metabolism pays the price.

In brief, vasopressin was classically thought of as an anti-hypotensive hormone.  The vasopressin analog Desmopressin is used to treat bed-wetting.  But vasopressin biology is much more interesting than that: mice lacking both vasopressin receptors require very little time adapting to large circadian phase changes.  And as with many fundamental concepts in chronobiology, this is intimately linked with metabolism.

People with certain polymorphisms of the vasopressin receptor, V1A, exhibit elevated blood glucose levels and are at greater risk for diabetes (Enhorning et al., 2009):

genotype

This risk is strongest in men in the highest quartile of fat intake, and is statistically more significant after adjusting for age and physical activity:

Fat consumption

This study wasn’t designed to be a very powerful indicator of diet-disease relationships, but a little speculation: some think higher fat [and lower carb] intake should be protective against diabetes… which may be true, for people who can tell time.  Alter one nucleotide in the vasopressin 1A receptor gene and the game changes.

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Protein “requirements,” carbs, and nutrient partitioning 

One way to determine protein requirements is the nitrogen balance technique.  If all of the nitrogen from dietary protein intake is equivalent to that lost via feces, urine, and sweat, then one is in nitrogen balance.  Growing children and pregnant women are usually in positive nitrogen balance, because much of the nitrogen is being invested in the growth of new tissue.  Cachectic cancer patients and sarcopenic elderly may be in negative nitrogen balance, because they’re losing lean mass.

Protein requirements to maintain nitrogen balance are largely dependent on total energy intake.  More calories in, less protein needed.  For people in negative energy balance (losing weight), this usually means more protein is required else muscle will be wasted.

Exercise lowers, not raises, protein “requirements,” because exercise is a potent anabolic stimulus; it helps preserve nitrogen at any level of dietary protein.  That’s not to say more won’t improve functional outcomes; just that it’s not “necessary” to prevent muscle loss.

Need =/= optimization.

Lastly, total grams, not percent of calories, is the most relevant way to talk about protein requirements in the context of nutrient partitioning and body composition.  This is just how protein operates.

Part 2.  The poor, misunderstood Randle Cycle

“The glucose-sparing effect of fat-derived fuels” …when you’re body starts burning more fat (and fat-derived fuels; ie, ketones), it’s use of glucose declines.  Thus, it’s “glucose-sparing” (spares glucose for the brain and obligatory glycolytic tissues, yada yada yada).

During starvation, much of that glucose comes from amino acids from skeletal muscle proteins, so it can also be phrased as: “the muscle-sparing effect of fat-derived fuels,”  which is equally biologically relevant, because similar to zeroglycemia, an unabated loss of muscle is incompatible with survival.

That is, in starvation, where the “protein” is skeletal muscle, not dietary (because starvation)… but what about when following a low carb or ketogenic diet – do ketones (fat-derived fuels) exert a muscle-sparing effect in this context?

One study compared the impact of two isonitrogenous diets, low carb (Diet A) vs. high carb (Diet B), on nitrogen balance and showed that, except at very high levels of energy intake, nitrogen balance was consistently better on high carb.

carbs vs protein req

 

However, 51 kcal/kg is the textbook number of kcals “required” for young, moderately active adults.  With this understanding, it could be interpreted to mean that nitrogen balance is better with low carb (Diet A) for people in energy balance; and better with high carb (Diet B) if energy deficit.

edit: 51 kcal/kg is for athletes; probably about 20-25% less for non-athletes.

Or not: in another study, a low carb diet promoted better nitrogen retention albeit less weight loss than an isocaloric low fat diet.  The low carb group lost slightly more fat mass, which, combined with nitrogen balance data, suggest modestly improved body composition.  The differences were small, because this was a “non-ad lib” isocaloric diet study.  In the absence of large differences in intake, the most we can expect from such studies are subtle alterations in nutrient partitioning (which are usually difficult to detect).

Cancer cachexia is a condition of severe muscle wasting, and one study set out to determine, more directly, if ketones spared muscle in this context.  The study only lasted one week, but I suspect a certain degree of expedited ketoadaptation because: 1) it was very low in carbohydrate; 2) the fat was primarily MCTs; 3) they supplemented oral ketones; and 4) energy expenditure is elevated in this population.  Both the control and ketogenic diets were modestly hypercaloric, but nitrogen balance was more favorably improved by the high carb diet, in contrast to the above studies.

Thus, ketones don’t work in the context of a hypercaloric diet; however, pharmacologically elevating ketones via intravenous infusion in fasting subjects does work (because it’s more like starvation).

The muscle-sparing effect of fat-derived fuels is conceptually and physiologically more relevant to starvation, not nutritional ketosis.

Part 3.  Protein “requirements”

Effects of high-protein diets on fat-free mass and muscle protein synthesis following weight loss: a randomized controlled trial (Pasiakos et al., 2013) 

Protein intake was 1x, 2x, or 3x the RDA; fat was 30% of calories, and carbs made up the rest; on a weight maintenance diet and again on 30% calorie restriction (it was technically a 40% energy deficit, because they tried to ramp up energy expenditure with exercise).

RDA

All groups lost weight, but the ratio of fat to muscle loss was significantly higher in the 2x and 3x RDA groups, which amounted to ~120 and 185 grams of protein per day, respectively.  The 3x group didn’t fare as well, possibly, because that much protein induces a high degree of satiety – this group ended up consuming significantly fewer calories than the 2x group.  So the interplay between energy intake and protein requirements is back on the table: the added energy deficit apparently increased protein requirements to some level above 185 grams per day.  Not much, given the small difference in muscle loss, but increased none the less.

Side note: be cautious when interpreting a study about the amount of protein required for xyz endpoint, because such studies usually only measure one of many important markers, and they don’t report absolute changes in size, strength, etc.  Also, context matters.

For example, Moore and colleagues (2014) showed that 0.24 g/kg (17 grams for a 70 kg adult) was enough to maximally stimulate myofibrillar fractional synthetic rate (mFSR):

mFSR

However, in the contexts of three square meals and energy balance (or deficit), 0.72 g/kg (50 g/d) is woefully inadequate.  Point being: mFSR (in this case) is only one measurement and shouldn’t be extrapolated to total daily requirements.  Perhaps you could eat six 17 g servings in order to fully maximize 24-hour mFSR, or you could realize that going above what saturates mFSR isn’t a bad thing, or wasteful.  mFSR is just one of many measurements of muscle protein balance.

My opinion

For those who need exact numbers, hopefully one point I’ve made is that there’s no answer to this question.  I’d guess that most people “need” 100+ grams of protein per day (more if losing weight), and 100 grams is probably too much in one sitting.  Also, need =/= optimization, and context matters.

Nutritional ketosis doesn’t appear to reduce the amount of dietary protein necessary to maintain lean mass.  The muscle-sparing of fat-derived fuels works during starvation; in other contexts, all bets are off.

calories proper

Carb Back-Loading, take II

Brief refresher: skeletal muscle insulin sensitivity is higher in the morning than in the evening.  Exercise boosts insulin sensitivity selectively in muscle, which is relatively more important in the evening.  Thus, an evening carb-load may benefit from exercise to effectively partition the energy influx into skeletal muscle [and away from adipose tissue].

Summary of Part 1 of my CBL review: studies on nutrient timing sans exercise aren’t entirely consistent, in part, due to reciprocal regulation of insulin sensitivity in skeletal muscle and adipose tissue.  That is, excess energy from an evening carb-load, without the exercise-induced, skeletal muscle-specific boost in insulin sensitivity, may be biased less toward muscle growth and more toward fat storage, because unlike skeletal muscle, the sensitivity of adipose tissue to insulin appears to improve as the day progresses… and without exercise to offset this, as in the studies discussed below, this may lead to suboptimal results.

*one thing Kiefer stressed, and I agree, is that the effects of any given intervention may be population-specific.  For example, he pointed out that diurnal insulin sensitivity is less robust in obese and aged populations.  So if two findings aren’t in full agreement, click the link to the study and check this first… context matters!

Tl;dr: I think high intensity exercise and possibly the time of day it’s performed, and regular bouts of fasting, are important factors that mediate the efficacy of CBL and similar protocols. Continue reading

Carb Back-Loading and the Circadian Regulation of Metabolism

Carb Back-Loading (CBL) redux, part I

Step 1: eat little in the morning (maybe some fat+protein; definitely no carb)
Step 2: exercise in the afternoon/evening
Step 3: eat the carbs, all of them.  Preferably high glycemic carbs.
Other: no dietary fat post-workout; protein periodically throughout the day.

What makes CBL different from its predecessors is the stress on the timing – exercise and carbs in the evening.  John Berardi’s “Massive Eating” dietary guidelines are similar: protein+fat meals all day except pre- and post-workout, which are protein+carb meals.  Martin Berkan’s “LeanGains” is fasting most of the time (including pre-workout), exercise in the afternoon, then a big post-workout meal (quite similar to CBL).  My only tweak, as discussed below (and previously here and here), would be a pre- rather than post-workout meal [in some contexts].

There’s a summary of this blog post at the bottom… it might be helpful to read that first (see: “Tl;dr:”).  Also, please note that much of this post is about the fringe of theoretically optimizing nutrient partitioning, like improving from 85 to 90%, or 40 to 45%, not 40 to 90%…  I’m not that deluded.

My initial take, in general, is that this book is loaded with gems about nutrition, exercise, biochemistry, and physiology.  It’s also very readable and has a lot of good recommendations.  In this post, I want to discuss one specific aspect of CBL: tissue-specific circadian regulation of metabolism.

 

nutrient timing

 

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Lipid Hypothesis 2.0: Eat Butter

The original lipid hypothesis stated, more or less, that lowering blood cholesterol would reduce premature mortality from heart disease.  At the time, it was thought that dietary cholesterol and saturated fat increased the ‘bad’ type of blood cholesterol, so the advice was to restrict those foods.  All of that was wrong.

Time

Lipid Hypothesis 2.0: Eat Butter

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