Krauss's New Article on Saturated Fat Intervention Trials

Dr. Ronald Krauss's group just published another article in the American Journal of Clinical Nutrition, this time on the intervention trials examining the effectiveness of reducing saturated fat and/or replacing it with other nutrients, particularly carbohydrate or polyunsaturated seed oils. I don't agree with everything in this article. For example, they cite the Finnish Mental Hospital trial. They openly acknowledge some contradictory data, although they left out the Sydney diet-heart study and the Rose et al. corn oil study, both of which showed greatly increased mortality from replacing animal fats with polyunsaturated seed oils. Nevertheless, they get it right in the end:

Particularly given the differential effects of dietary saturated fats and carbohydrates on concentrations of larger and smaller LDL particles, respectively, dietary efforts to improve the increasing burden of CVD risk associated with atherogenic dyslipidemia should primarily emphasize the limitation of refined carbohydrate intakes and a reduction in excess adiposity.

This is really cool. Krauss is channeling Weston Price. If this keeps up, I may have no reason to blog anymore!

New Saturated Fat Review Article by Dr. Ronald Krauss

I never thought I'd see the day when one of the most prominent lipid researchers in the world did an honest review of the observational studies evaluating the link between saturated fat and cardiovascular disease. Dr. Ronald Krauss's group has published a review article titled "Meta-analysis of prospective cohort studies evaluating the association of saturated fat with cardiovascular disease". As anyone with two eyes and access to the medical literature would conclude (including myself), they found no association whatsoever between saturated fat intake and heart disease or stroke:

A meta-analysis of prospective epidemiologic studies showed that there is no significant evidence for concluding that dietary saturated fat is associated with an increased risk of CHD or CVD.

Bravo, Dr. Krauss. That was a brave move.

Thanks to Peter for pointing out this article.

Paleo is Going Mainstream

There was an article on the modern "Paleolithic" lifestyle in the New York Times today. I thought it was a pretty fair treatment of the subject, although it did paint it as more macho and carnivorous than it needs to be. It features three attractive NY cave people. It appeared in the styles section here. Paleo is going mainstream. We can expect media health authorities to start getting defensive about it any minute now.

Phil heath youtube video - "Phil heath is my dad :D (joke)".

new Phil heath youtube video, well kind of, just found this video on youtube of a amateur odybuilder posing, video title says "Phil heath is my dad :D", i think the poser is meaning in relation to him having such good genetics, and muscle shape like phil heath.

though the guys shape also has a look of dexter jackson as well.



can the real phil heath stand up, phil heath arms, phil being known for some of the biggest arms in bodybuilding:



going to be looking at the phil heath diet and phil heath workout in some upcoming posts as well.

The Body Fat Setpoint

One pound of human fat contains about 3,500 calories. That represents roughly 40 slices of toast. So if you were to eat one extra slice of toast every day, you would gain just under a pound of fat per month. Conversely, if you were to eat one fewer slice per day, you'd lose a pound a month. Right? Not quite.

How is it that most peoples' body fat mass stays relatively stable over long periods of time, when an imbalance of as little as 5% of calories should lead to rapid changes in weight? Is it because we do complicated calculations in our heads every day, factoring in basal metabolic rate and exercise, to make sure our energy intake precisely matches expenditure? Of course not. We're gifted with a sophisticated system of hormones and brain regions that do the calculations for us unconsciously*.

When it's working properly, this system precisely matches energy intake to expenditure, ensuring a stable and healthy fat mass. It does this by controlling food seeking behaviors, feelings of fullness and even energy expenditure by heat production and physical movements. If you eat a little bit more than usual at a meal, a properly functioning system will say "let's eat a little bit less next time, and also burn some of it off." This is why animals in their natural habitat are nearly always at an appropriate weight, barring starvation. The only time wild animals are overweight enough to compromise maximum physical performance is when it serves an important purpose, such as preparing for hibernation.

I recently came across a classic study that illustrates these principles nicely in humans, titled "Metabolic Response to Experimental Overfeeding in Lean and Overweight Healthy Volunteers", by Dr. Erik O. Diaz and colleagues (1). They overfed lean and modestly overweight volunteers 50% more calories than they naturally consume, under controlled conditions where the investigators could be confident of food intake. Macronutrient composition was 12-42-46 % protein-fat-carbohydrate.

After 6 weeks of massive overfeeding, both lean and overweight subjects gained an average of 10 lb (4.6 kg) of fat mass and 6.6 lb (3 kg) of lean mass. Consistent with what one would expect if the body were trying to burn off excess calories and return to baseline fat mass, the metabolic rate and body heat production of the subjects increased.

Following overfeeding, subjects were allowed to eat however much they wanted for 6 weeks. Both lean and overweight volunteers promptly lost 6.2 of the 10 lb they had gained in fat mass (61% of fat gained), and 1.5 of the 6.6 lb they had gained in lean mass (23%). Here is a graph showing changes in fat mass for each individual that completed the study:

We don't know if they would have lost the remaining fat mass in the following weeks because they were only followed for 6 weeks after overfeeding, although it did appear that they were reaching a plateau slightly above their original body weight. Thus, nearly all subjects "defended" their original body fat mass irrespective of their starting point. Underfeeding studies have shown the same phenomenon: whether lean or overweight, people tend to return to their original fat mass after underfeeding is over. Again, this supports the idea that the body has a body fat mass "set point" that it attempts to defend against changes in either direction. It's one of many systems in the body that attempt to maintain homeostasis.

OK, so why do we care?

We care because this has some very important implications for human obesity. With such a powerful system in place to keep body fat mass in a narrow range, a major departure from that range implies that the system isn't functioning correctly. In other words, obesity has to result from a defect in the system that regulates body fat, because a properly functioning system would not have allowed that degree of fat gain in the first place.

So yes, we are gaining weight because we eat too many calories relative to energy expended. But why are we eating too many calories? Because the system that should be defending a low fat mass is now defending a high fat mass. Therefore, the solution is not simply to restrict calories, or burn more calories through exercise, but to try to "reset" the system that decides what fat mass to defend. Restricting calories isn't necessarily a good solution because the body will attempt to defend its setpoint, whether high or low, by increasing hunger and decreasing its metabolic rate. That's why low-calorie diets, and most diets in general, typically fail in the long term. It's miserable to fight hunger every day.

This raises two questions:

1. What caused the system to defend a high fat mass?
2. Is it possible to reset the fat mass setpoint, and how would one go about it?
   

Given the fact that body fat mass is much higher in many affluent nations than it has ever been in human history, the increase must be due to factors that have changed in modern times. I can only speculate what these factors may be, because research has not identified them to my knowledge, at least not in humans. But I have my guesses. I'll expand on this in the next post.


* The hormone leptin and the hypothalamus are the ringleaders, although there are many other elements involved, such as numerous gut-derived peptides, insulin, and a number of other brain regions.

Rabbits on a High-Saturated Fat Diet Without Added Cholesterol

I just saw another study that supports my previous post Animal Models of Atherosclerosis: LDL. The hypothesis is that in the absence of excessive added dietary cholesterol, saturated fat does not influence LDL or atherosclerosis in animal models, relative to other fats (although omega-6 polyunsaturated oils do lower LDL in some animal models). This appears to be consistent with what we see in humans.

In this study, they fed four groups of rabbits different diets:

1. Regular low-fat rabbit chow
2. Regular low-fat rabbit chow plus 0.5 g cholesterol per day
3. High-fat diet with 30% calories as coconut oil (saturated) and no added cholesterol
   
4. High-fat diet with 30% calories as sunflower oil (polyunsaturated) and no added cholesterol
   

LDL at 6 months was the same in groups 1, 3 and 4, but was increased more than 20-fold in group 2. It's not the fat, it's the fact that they're overloading herbivores with dietary cholesterol!

Total cholesterol was also the same between all groups except the cholesterol-fed group. TBARS, a measure of lipid oxidation in the blood, was elevated in the cholesterol and sunflower oil groups but not in the chow or coconut groups. Oxidation of blood lipids is one of the major factors in atherosclerosis, the vascular disease that narrows arteries and increases the risk of having a heart attack. Serum vitamin C was lower in the cholesterol-fed groups but not the others.

This supports the idea that saturated fat does not inherently increase LDL, and in fact in most animals it does not. This appears to be the case in humans as well, where long-term trials have shown no difference in LDL between people eating more saturated fat and people eating less, on timescales of one year or more (some short trials show a modest LDL-raising effect, but even this appears to be due to an increase in particle size rather than particle number). Since these trials represent the average of many people, they may hide some individual variability: it may actually increase LDL in some people and decrease it in others.

Merry Christmas!

What's the Ideal Fasting Insulin Level?

Insulin is an important hormone. Its canonical function is to signal cells to absorb glucose from the bloodstream, but it has many other effects. Chronically elevated insulin is a marker of metabolic dysfunction, and typically accompanies high fat mass, poor glucose tolerance (prediabetes) and blood lipid abnormalities. Measuring insulin first thing in the morning, before eating a meal, reflects fasting insulin. High fasting insulin prevents the escape of fat from fat tissue and causes a number of other metabolic disturbances.

Elevated fasting insulin is a hallmark of the metabolic syndrome, the quintessential modern metabolic disorder that affects 24% of Americans (NHANES III). Dr. Lamarche and colleagues found that having an insulin level of 13 uIU/mL in Canada correlated with an 8-fold higher heart attack risk than a level of 9.3 uIU/mL (1; thanks to NephroPal for the reference). So right away, we can put our upper limit at 9.3 uIU/mL. The average insulin level in the U.S., according to the NHANES III survey, is 8.8 uIU/mL for men and 8.4 for women (2). Given the degree of metabolic dysfunction in this country, I think it's safe to say that the ideal level of fasting insulin is probably below 8.4 uIU/mL as well.

Let's dig deeper. What we really need is a healthy, non-industrial "negative control" group. Fortunately, Dr. Staffan Lindeberg and his team made detailed measurements of fasting insulin while they were visiting the isolated Melanesian island of Kitava (3). He compared his measurements to age-matched Swedish volunteers. In male and female Swedes, the average fasting insulin ranges from 4-11 uIU/mL, and increases with age. From age 60-74, the average insulin level is 7.3 uIU/mL.

In contrast, the range on Kitava is 3-6 uIU/mL, which does not increase with age. In the 60-74 age group, in both men and women, the average fasting insulin on Kitava is 3.5 uIU/mL. That's less than half the average level in Sweden and the U.S. Keep in mind that the Kitavans are lean and have an undetectable rate of heart attack and stroke.

Another example from the literature are the Shuar hunter-gatherers of the Amazon rainforest. Women in this group have an average fasting insulin concentration of 5.1 uIU/mL (4; no data was given for men).

I found a couple of studies from the early 1970s as well, indicating that African pygmies and San bushmen have rather high fasting insulin. However, their glucose tolerance was excellent (5, 6, free full text). There are three facts that make me doubt the insulin measurements in these older studies:

1. It's hard to be sure that they didn't eat anything prior to the blood draw.
2. From what I understand, insulin assays were variable and not standardized back then.
   
3. In the San study, their fasting insulin was 1/3 lower than the Caucasian control group (10 vs. 15 uIU/mL). I doubt these active Caucasian researchers really had an average fasting insulin level of 15 uIU/mL. Both sets of measurements are probably too high.
   

Now you know the conflicting evidence, so you're free to be skeptical if you'd like.

We also have data from a controlled trial in healthy urban people eating a "paleolithic"-type diet. On a paleolithic diet designed to maintain body weight (calorie intake had to be increased substantially to prevent fat loss during the diet), fasting insulin dropped from an average of 7.2 to 2.9 uIU/mL in just 10 days. The variation in insulin level between individuals decreased 9-fold, and by the end, all participants were close to the average value of 2.9 uIU/mL. This shows that high fasting insulin is correctable in people who haven't yet been permanently damaged by the industrial diet and lifestyle. The study included men and women of European, African and Asian descent (7).

One final data point. My own fasting insulin, earlier this year, was 2.3 uIU/mL. I believe it reflects a good diet, regular exercise, sufficient sleep, a relatively healthy diet growing up, and the fact that I managed to come across the right information relatively young. It does not reflect: carbohydrate restriction, fat restriction, or saturated fat restriction. Neither does the low fasting insulin of healthy non-industrial cultures.

So what's the ideal fasting insulin level? My current feeling is that we can consider anything between 2 and 6 uIU/mL within our evolutionary template, although the lower half of that range may be preferable.