Put lipstick on a dwarf

Today, virtually all wheat products are produced from the Triticum aestivum dwarf mutant.

You might call it "multi-grain bread,""oat bread," or "flaxseed bread." You could call it "organic," "pesticide-free," "non-GMO," or "no preservatives." It might be shaped into a ciabatta, bruschetta, focaccia, or panini. It might be sourdough, unleavened, or sprouted. It could be brown, black, Pumpernickel, or white. It could be shaped into a roll, bun, bagel, pizza, loaf, pretzel, cracker, pancake, brioche, baguette, or pita. It could be matzah, challah, naan, or Communion wafers.

No matter what you call it, it's all the same. It's all from the dwarf mutant Triticum aestivum plant, the 18-inch tall product of hybridizations, backcrossings, and introgressions that emerged from genetics research during the 1960s and 70s.

According to Dr. Allan Fritz, Professor of Wheat Breeding at Kansas State University, and Dr. Gary Vocke at the USDA, over 99% of all wheat grown today is the dwarf variant of Triticum aestivum. (For you genetics types, Triticum aestivum is the hexaploid, i.e., 3 combined genomes, product of extensive hybridizations, while ancestral einkorn is a diploid, i.e., a single genome, grass. Hexaploid Triticum aestivum contains the especially hazardous "D" genome, the set of genes most commonly the recipient of genetic manipulations to modify the characteristics of flour, such as gluten content. Einkorn contains only the original "A" genome.)

No matter what you call it, add to it, how you shape it, etc., it's all the same. It's all the dwarf mutant product of tens of thousands of hybridizations.

You can put lipstick on a pig, but it's still a pig. By the way, lipstick may contain wheat.

What the Institute of Medicine SHOULD have said

The news is full of comments, along with many attention-grabbing headlines, about the announcement from the Institute of Medicine that the new Recommended Daily Allowance (RDA) for vitamin D should be 600 units per day for adults.

What surprised me was the certainty with which some of the more outspoken committee members expressed with their view that 1) the desirable serum 25-hydroxy vitamin D level was only 20 ng/ml, and 2) that most Americans already obtain a sufficient quantity of vitamin D.

Here's what I believe the Institute of Medicine SHOULD have said:

Multiple lines of evidence suggest that there is a plausible biological basis for vitamin D's effects on cancer, inflammatory responses, bone health, and metabolic responses including insulin responsiveness and blood glucose. However, the full extent and magnitude of these responses has not yet been fully characterized.

Given the substantial observations reported in several large epidemiologic studies that show an inverse correlation between 25-hydroxy vitamin D levels and mortality, there is without question an association between vitamin D and mortality from cancer, cardiovascular disease, and all cause mortality. However, it has not been established that there are cause-effect relationships, as this cannot be established by epidemiologic study.

While the adverse health effects of 25-hydroxy vitamin D levels of less than 30 ng/ml have been established, the evidence supporting achieving higher 25-hydroxy vitamin D levels remains insufficient, limited to epidemiologic observations on cancer incidence. However, should 25-hydroxy vitamin D levels of greater than 30 ng/ml be shown to be desirable for ideal health, then vitamin D deficiency has potential to be the most widespread deficiency of the modern age.

Given the potential for vitamin D's impact on multiple facets of health, as suggested by preliminary epidemiologic and basic science data, we suggest that future research efforts be focused on establishing 1) the ideal level of 25-hydroxy vitamin D levels to achieve cancer-preventing, bone health-preserving or reversing, and cardiovascular health preventive benefits, 2) the racial and genetic (vitamin D receptor, VDR) variants that may account for varying effects in different populations, 3) whether vitamin D restoration has potential to exert not just health-preserving effects, but also treatment effects, specifically as adjunct to conventional cancer and osteoporosis therapies, and 4) how such vitamin D restoration is best achieved.

Until the above crucial issues are clarified, we advise Americans that vitamin D is a necessary and important nutrient for multiple facets of health but, given current evidence, are unable to specify a level of vitamin D intake that is likely to be safe, effective, and fully beneficial for all Americans.


Instead of a careful, science-minded conclusion that meets the painfully conservative demands of crafting broad public policy, the committee instead chose to dogmatically pull the discussion back to the 1990s, ignoring the flood of compelling evidence that suggests that vitamin D is among the most important public health issues of the age.

Believe it or not, this new, though anemic, RDA represents progress: It's a (small) step farther down the road towards broader recognition and acceptance that higher intakes (or skin exposures) to achieve higher vitamin D levels are good for health.

My view: Vitamin D remains among the most substantial, life-changing health issues of our age. Having restored 25-hydroxy vitamin D levels in over 1000 people, I have no doubt whatsoever that vitamin D achieves substantial benefits in health with virtually no downside, provided 25-hydroxy vitamin D levels are monitored.

Coronary calcium: Cause or effect?

Here's an interesting observation made by a British research group.

We all know that coronary calcium, as measured by CT heart scans, are a surrogate measure of atherosclerotic plaque "burden," i.e., an indirect yardstick for coronary plaque. The greater the quantity of coronary calcium, the higher the heart scan "score," the greater the risk for heart attack and other unstable coronary syndromes that lead to stents, bypass, etc.

But can calcium also cause plaque to form or trigger processes that lead to plaque formation and/or instability?

Nadra et al show, in an in vitro preparation, that calcium phosphate crystals are actively incorporated into inflammatory macrophages, which then trigger a constellation of inflammatory cytokine release (tumor necrosis factor-alpha, interleukins), fundamental processes underlying atherosclerotic plaque formation and inflammation.

Here's the abstract of the study:
Proinflammatory Activation of Macrophages by Basic Calcium Phosphate Crystals via Protein Kinase C and MAP Kinase Pathways:

A Vicious Cycle of Inflammation and Arterial Calcification?


Basic calcium phosphate (BCP) crystal deposition underlies the development of arterial calcification. Inflammatory macrophagescolocalize with BCP deposits in developing atherosclerotic lesionsand in vitro can promote calcification through the release of TNF alpha. Here we have investigated whether BCP crystals can elicit a proinflammatory response from monocyte-macrophages.BCP microcrystals were internalized into vacuoles of human monocyte-derived macrophages in vitro. This was associated with secretion of proinflammatory cytokines (TNF{alpha}, IL-1ß and IL-8) capable of activating cultured endothelial cells and promoting capture of flowing leukocytes under shear flow. Critical roles for PKC, ERK1/2, JNK, but not p38 intracellular signaling pathways were identified in the secretion of TNF alpha, with activation of ERK1/2 but not JNK being dependent on upstream activation of PKC. Using confocal microscopy and adenoviral transfection approaches, we determined a specific role for the PKC-alpha isozyme.

The response of macrophages to BCP crystals suggests that pathological calcification is not merely a passive consequence of chronic inflammatory disease but may lead to a positive feed-back loop of calcification and inflammation driving disease progression.



This observation adds support to the notion that increasing coronary calcium scores, i.e., increasing accumulation of calcium within plaque, suggests active plaque. As I say in Track Your Plaque, "growing plaque is active plaque." Active plaque means plaque that is actively growing, inflamed and infiltrated by inflammatory cells like macrophages, eroding its structural components, and prone to "rupture," i.e., cause heart attack. Someone whose first heart scan score is, say, 100, followed by another heart scan score two years later of 200 is exposed to sharply increasing risk for cardiovascular events which may, in part, be due to the plaque-stimulating effects of calcium.

Conversely, reducing coronary calcium scores removes a component of plaque that would otherwise fuel its growth. So, people like our Freddie, who reduced his heart scan score by 75%, can be expected to enjoy a dramatic reduction of risk for cardiovascular events.

Less calcium, less plaque to rupture, less risk.

Wheat one-liners

If you're having difficulty convincing a loved one or someone else that wheat should be eliminated from the human diet, here are some useful one-liners to use:

Wheat makes your boobs big.
(This is true. Priceless for women to use on their husbands.)

Wheat causes dementia.
(And confirmed on examination of brain tissue at autopsy. Yes, autopsy.)

Wheat makes you look pregnant.
(The visceral fat of a wheat belly does a darn good imitation of a near-term infant.)

The first sign of wheat intolerance can be wetting your pants.
(Cerebellar ataxia, i.e., destruction and atrophy of the cerebellum, caused by wheat leads to loss of coordination and bladder control. Average age of onset: 53 years old.)

White flour bad, whole grain better; just as Marlboros are bad, Salems are better.
(The flawed syllogism that led to the "eat more healthy whole grain" colossal blunder.)

Wheat is the only food with its very own mortality rate.
(Celiac disease, osteoporotic hip fractures, and the neurologic diseases triggered by wheat can be fatal.)

"Wheat" is no longer wheat; it's the dwarf mutant that came from genetics research in the 1960s.
(Over 99% of all wheat today comes from the 18-inch tall dwarf mutant.)

Wheat increases blood sugar higher than nearly all other foods.
(Higher than Milky Way bars, higher than Snickers bars, higher than table sugar.)


There you have it: A full arsenal of one-liners to shoot at your husband, wife, or friend when they roll their eyes at your refusal to consume this thing called "wheat."

The happy homeotherm

If you were a "cold blooded" poikilotherm unable to regulate internal body temperature, you would have to sun yourself on rocks to raise your body temperature, just like turtles and snakes. When it got cold, your metabolic rate would slow and you might burrow into the mud to hide.

You and I, however, are homeotherms, terrestrial animals able to regulate our own internal body temperature. Principal responsibility for keeping your body temperature regulated falls with the thyroid gland, your very own thermoregulatory "thermostat."

But internal body temperature, even in a homeotherm, varies with circadian rhythm: Highest temperature occurs in the early evening around 8 p.m.; the low temperature nadir occurs at around 4 a.m.

The notion that normal human temperature is 98.6 degrees Fahrenheit is a widely-held fiction, a legacy of the extraordinary experience of 19th century German physician, Carl Reinhold August Wunderlich, who claims to have measured temperatures of one million people using his crude, uncalibrated thermometer to obtain axillary (armpit) body temperatures.

Dr. Broda Barnes was a 20th century American proponent of using the nadir body temperature to gauge thyroid function. Like Wunderlich, Barnes also used axillary temperatures.

Modern temperature assessments have employed radiotransmitting thermistors that are swallowed, with temperatures tracked as the thermistor travels through the stomach, duodenum, small intestine, large intestine, rectum, then peek-a-boos back out. Such internal "core temperature" assessments have shown that:

--Axillary temperatures do not track with internal core temperatures very well, often veering off course due to external factors.
--Axillary temperatures are subject to ambient temperatures, such as room temperature, and are affected by clothing.
--Axillary temperatures are more susceptible to physical activity, e.g., increased with exercise or physical work.

Even right vs. left axillary temperatures have been shown to vary up to 2 degrees Fahrenheit.

Studies such as this demonstrate that normal oral temperature upon arising is around 97.2-97.3 degrees Fahrenheit. While we lack data correlating thyroid function with circadian temperature variation, the a.m. nadir does indeed, as Dr. Barnes originally suggested, seem to track thyroid status quite well: lower with hypothyroidism, higher with normal or hyperthyroidism.

I have been using 97.3 degrees F orally as the cutoff for confirming or uncovering thyroid dysfunction, particularly when symptoms or blood tests (TSH, free T3, free T4) are equivocal, a value that has held up well in the majority of cases. I find it helpful when, for instance, someone complains of cold hands and feet and has normal TSH (1.5 mIU/L or less in my view) but low free T3. An a.m. oral temperature of, say, 95.7 degrees F, suggests that there will be a favorable response to T3 supplementation. And it nearly always plays out that way.

Wouldn't it be interesting to know if there was insight into thyroid status provided by also examining the circadian behavior of temperature (e.g., height or timing of the peak)?

Statin buster?

Merck recently reported preliminary results with its drug-in-development, anacetrapib.

After six months of treatment, participants showed:

LDL cholesterol was reduced from 81 mg/dl to 45 mg/dl in those taking anacetrapib, and from 82 mg/dl to 77 mg/dl in the placebo group.

HDL increased from 41 mg/dl to 101 mg/dl in the drug group, from 40 mg/dl to 46 mg/dl in those on placebo.

As you'd expect, the usual line-up of my colleagues gushed over the prospects of the drug, salivating over new speaking opportunities, handsomely-paid clinical "research" trials, and plenty of nice trips to exotic locales.

Anacetrapib is a cholesteryl-ester transfer protein inhibitor, or CETP inhibitor, much like its scrapped predecessor, torcetrapib . . . you know, the one that went down in flames in 2006 after 60% excess mortality occurred in people taking the drug compared to placebo. The hopes of many investors and Pfizer executives were dashed with torcetrapib's demise. The data on torcetrapib's lipid effects were as impressive as Merck's anacetrapib.

These drugs block the effects of the CETP enzyme, an enzyme with complex effects. Among CETP's effects: mediating the "heteroexchange" of triglycerides from triglyceride-rich VLDL particles that first emerge from the liver for cholesterol from LDL particles. This CETP-mediated process enriches LDL particles with triglycerides, which then make LDL a target for action by another enzyme, hepatic lipase, that removes triglycerides. This yields a several nanometer smaller LDL particle, now the number one most common cause of heart disease in the U.S., thanks to conventional advice to cut fat intake and increase consumption of "healthy whole grains."

With effects like this, anacetrapib, should it hold up under the scrutiny of FDA-required trials and not show the same mortality-increasing effects of torcetrapib, will be a huge blockbuster for Merck if release goes as scheduled in 2015. It will likely match or exceed sales of any statin drug. Statin drugs have achieved $27 billion annual sales, some of it deserved. Anacetrapib will likely handily match or exceed Lipitor's $12 billion annual revenue.

More than increasing HDL, CETP inhibition is really a strategy to reduce small LDL particles.

As with many drugs, there are natural means to achieve similar effects with none of the side-effects. In this case, similar effects to CETP inhibition, though with no risk of heightened mortality, is . . . elimination of wheat, in addition to an overall limitation of carbohydrate consumption. Not just low-carb, mind you, but wheat elimination on the background of low-carb. For instance, eliminate wheat products and limit daily carbohydrate intake to 50-100 grams per day, depending on your individual carbohydrate sensitivity, and small LDL drops 50-75%. HDL, too, will increase over time, not as vigorously as with a CETP inhibitor, but a healthy 20-30% increase, more with restoration of vitamin D.

Eliminating wheat and adjusting diet to ratchet down carbs is, of course, cheap, non-prescription, and can be self-administerd, criteria that leave the medical world indifferent. But it's a form of "CETP inhibition" that you can employ today with none of the worries of a new drug, especially one that might share effects with an agent with a dangerous track record.

Why does wheat cause arthritis?

Wheat causes arthritis.

Before you say "What the hell is he saying now?", let me connect the dots on how this ubiquitous dietary ingredient accelerates the path to arthritis in its many forms.

1) Wheat causes glycation--Glycation is glucose-modification of proteins in the body that occurs when blood glucose exceeds 100 mg/dl. Cartilage cells are especially susceptible to glycation. The cartilage cells you had at age 18 are the very same cartilage cells you have at age 60, since they lack the ability to reproduce and repair themselves. Proteins in cartilage are highly susceptible to glycation, which makes them stiff and brittle. Stiff, brittle cartilage loses its soft, elastic, lubricating function. Damaged cartilage cells don't regenerate nor produce more protective proteins. This allows destruction of cartilage tissue, inflammation, and, eventually, bone-on-bone arthritis.

Because wheat, even whole wheat, sends blood sugar higher than almost all other foods, from table sugar to Snickers bars, glycation occurs after each and every slice of toast, every whole wheat bagel, every pita wrap.

2) Wheat is acidifying--Humans are meant to consume a diet that is net alkaline. While hunter-gatherers who consume meat along with plentiful vegetables and fruits live a net alkaline diet (urine pH 7 to 9), modern humans who consume insufficient vegetables and too much grain (of which more than 90% is usually wheat) shift the body towards net acid (urine pH 5 to 7). Wheat is The Great Disrupter, upsetting the normal pH balance that causes loss of calcium from bones, resulting in decalcification, weakness, arthritis and osteoporotic fractures.

3) Wheat causes visceral fat--The extravagant glucose-insulin surges triggered by wheat leads to accumulation of visceral fat: wheat belly.

Visceral fat not only releases inflammatory mediators like tumor necrosis factor and various interleukins, but is also itself inflamed. The inflammatory hotbed of the wheat belly leads to inflammation of joint tissues. This is why overweight and obese wheat-consuming people have more arthritis than would be explained by the burden of excess weight: inflammation makes it worse. Conversely, weight loss leads to greater relief from arthritis pain and inflammation than would be explained by just lightening the physical load.

We need a name for this wheat effect. How about "bagel bones"?

Why do morphine-blocking drugs make you lose weight?

Naloxone (IV) and naltrexone (oral) are drugs that block the action of morphine.

If you were an inner city heroine addict and got knifed during a drug deal, you'd be dragged into the local emergency room. You're high, irrational, and combative. The ER staff restrain you, inject you with naloxone and you are instantly not high. Or, if you overdosed on morphine and stopped breathing, an injection of naloxone would reverse the effect immediately, making you sit bolt upright and wondering what the heck was going on.

So what do morphine-blocking drugs have to do with weight loss?

An odd series of clinical studies conducted over the past 40 years has demonstrated that foods can have opiate-like properties. Opiate blockers, like naloxone, can thereby block appetite. One such study demonstrated 28% reduction in caloric intake after naloxone administration. But opiate blocking drugs don't block desire for all foods, just some.

What food is known to be broken down into opiate-like polypeptides?

Wheat. On digestion in the gastrointestinal tract, wheat gluten is broken down into a collection of polypeptides that are released into the bloodstream. These gluten-derived polypeptides are able to cross the blood-brain barrier and enter the brain. Their binding to brain cells can be blocked by naloxone or naltrexone administration. These polypeptides have been named exorphins, since they exert morphine-like activity on the brain. While you may not be "high," many people experience a subtle reward, a low-grade pleasure or euphoria.

For the same reasons, 30% of people who stop consuming wheat experience withdrawal, i.e., sadness, mental fog, and fatigue.

Wouldn't you know that the pharmaceutical industry would eventually catch on? Drug company startup, Orexigen, will be making FDA application for its drug, Contrave, a combination of naltrexone and the antidepressant, buproprion. It is billed as a blocker of the "mesolimbic reward system" that enhances weight loss.

Step back a moment and think about this: We are urged by the USDA and other "official" sources of nutritional advice to eat more "healthy whole grains." Such advice creates a nation of obese Americans, many the unwitting victims of the new generation of exorphin-generating, high-yield dwarf mutant wheat. A desperate, obese public now turns to the drug industry to provide drugs that can turn off the addictive behavior of the USDA-endorsed food.

There is no question that wheat has addictive properties. You will soon be able to take a drug to block its effects. That way, the food industry profits, the drug industry profits, and you pay for it all.

Heart scan tomfoolery 2

In the last Heart Scan Blog post, I discussed the significance of the apparent discrepancy between Steve's heart scan score and volume score. This post addresses his second question, also a FAQ about heart scan scores.

Steve noted that his second scan compared to his first showed:

- Left Main volume went up from 22.4 to 35.6
- LAD went down from 95.2 to 91.3
- LCX volume went down from 23.2 to 0
- RCA volume went up from 0 to 9.3

So there are apparent divergences in behavior in the left main that increased and both LAD (left anterior descending) and LCX (left circumflex) that decreased.

The explanation is simple: When heart scans are "scored," they are viewed in horizontal "slices." When the heart is viewed as horizontal slices, the LAD and LCX originate from the common left main stem. In other words, it's like a tree with the left mainsteam representing the trunk, the LAD and LCX representing two main branches.

Plaque can form, obviously, in all three arteries, but it can do so by starting in the left main, for instance, and extending into either the LAD or LCX, or both. The left main plaque can therefore bridge any 2 or all 3 arteries.

When the plaque is "scored" by taking the computer mouse and circling the calcified plaque in question (to allow the computer program to generate the calcium score and volume score of that particular plaque), the plaque that may extend from left main into the LAD and/or LCX might be labeled "left main," or it might be labeled "LAD" or "LCX." There is no reliable way to "dissect" apart the plaque into the three arteries, since the plaque is coalescent and continuous. So the scoring technologist or physician simply arbitrarily declares the artery "LAD," for instance.

The problem comes when two different interpretation methods are used: Perhaps it's a new technologist or physician, or there was no attention paid to how the previous scan was read. One reader calls it "left main" and the next calls it "LCX."

So the apparent discrepancy has to do with flaws in the methods of segregating plaque location, as well as inattention to scoring techniques. The total score, however, remains unaffected.

Nonetheless, Steve has enjoyed a modest reduction in the score of the left main/LAD/LCX from his original 140.8 down to a second left main/LAD/LCX score of 126.9.

The right coronary artery (RCA), however, is not subject to this difficulty and Steve score shows a modest increase in score. (Why the divergent behavior between left main/LAD/LCX and RCA? There is no clear explanation for this, unfortunately.)

All in all, the news for Steve is good: He achieved these results on his own using nutritional techniques. Because he, in all practicality, stopped the progression of his heart scan score and avoided the "natural" rate of increase of 30% per year, all he needs to do is "tweak" his program a bit to achieve reversal, i.e., reduction of score.


Here's an image from another previous Heart Scan Blog post (about the relationship of osteoporosis and coronary disease) that shows such a plaque that starts in the left mainstem yet extends into both the LAD and LCX:

Heart scan tomfoolery

Heart Scan Blog reader, Steve, sent these interesting questions about his heart scan experience. (I sometimes forget that this blog is called "The Heart Scan Blog" and was originally--several years ago--meant to discuss heart scans. It has evolved to become a much broader conversation.)

The answers are a bit lengthy, so I'll tackle Steve's questions in two parts, the second in another blog post.

Dr. Davis,

I had a heart scan last year. The score was 96. While not a horrible score, it
was a wake up call, and I changed my lifestyle.

I had another scan this year and the heart scan score went up to 105, but the
volume score went down from 141 to 136.

The report I received said this:

'The calcium volume score is less in the current study as compared with the
original or reference study. This is an excellent coronary result and indicates
that there has been a net decrease in coronary plaque burden. The current
prevention program is very effective and should be continued.'

This is all well and good, but I have two questions:

1. Am I really going in the right direction even though the heart scan score
went up 9%?

2. Here are results that make no sense to me:
- Left Main volume went up from 22.4 to 35.6
- LAD went down from 95.2 to 91.3
- LCX volume went down from 23.2 to 0
- RCA volume went up from 0 to 9.3

Why would there be so much variation from year to year, and why would the plaque
move from site to site?

Steve


Questions like Steve's come up with some frequency, so I thought it would be worthwhile to discuss in a blog post.

First of all, the conventional heart scan score, or "calcium score" or "Agatston score" (after Dr. Arthur Agatston, developer of the simple algorithm for calcium scoring, as well as South Beach Diet fame), is the product of the area of the plaque in a single CT "slice" image
multiplied by a density coefficient, i.e., a number ranging from 1 to 4 that grades the x-ray density of the plaque. (1 is least dense; 4 is most dense.) A density coefficient of 1 therefore signifies some calcium within plaque, with higher density coefficients signifying increasing calcium content and density. Incidentally, "soft" plaque, i.e., non-calcified, would fall in the less than 1 range, even the negative range (fatty tissue within plaque).

The volume, or "volumetric," score is the brainchild of Drs. Paulo Raggi and Traci Callister, who expressed concern that, if we cause plaque to shrink in volume, the density coefficient used to calculate the calcium score would increase (since they believed that calcium could not be reduced, contrary to our Track Your Plaque experience, thereby leading to misleading results. They therefore developed an algorithm that did not rely on density coefficients, but used the same two-dimensional area obtained in the standard heart scan score, but replaced the density coefficient with a (mathematically interpolated) vertical axis (z-axis) measure of plaque "height." This 3-dimensional volumetric value therefore provided a method to generate a measure of calcium volume. In their original publication, the volume score proved more reproducible than the standard calcium score. This way, any reduction in plaque volume would not be influenced by the misleading effects of calcium density, but reflect a real reduction in volume.

Callister and Raggi's study also highlighted that calcium scoring in any form is subject to variability. Back in 1998 (when their study was published), there was a bit more variation than today due to the image acquisition methods used. But, even today, there is about 9% variation in scoring even if performed repeatedly (with less percentage variation the higher the score).

Unfortunately, volume scoring never caught on and the calcium score has been the most commonly used value by most heart scan centers and in most clinical studies. And, in all practicality, the two values nearly always track together: When calcium score increases, volume score increases in tandem; when calcium score decreases, volume score decreases in tandem.

Steve is therefore an exception to the general observation that calcium score and volume score travel together. Steve's calcium score increased, while his volume score decreased. From the above discussion, you can surmise a few things about Steve's experience:"

1) In all likelihood, the changes in both calcium score and volume score could simply be due to variability, i.e., variation in the placement of his body on the scan table, variation in position of the heart, variation in data acquisition, etc. There is a high likelihood that neither value changed; both are essentially unchanged.

2) If the changes are not due to scan variability, but are real, then it could be that the calcified plaque is reduced in volume but increased in density. If true, this is probably still a favorable phenomenon, since plaque volume is a powerful predictor of coronary "events" and an increase in plaque density is likely a benign phenomenon. It would also raise questions about the adequacy of vitamin D and vitamin K2 status, both major control factors over calcium deposition and metabolism.

So, in all likelihood, Steve's apparent discrepant results are modest good news, especially since calcium scores can ordinarily be expected to increase at the rate of 30% per year if no action is taken. Experiencing no change in score, calcium or volumetric, carries a very excellent prognosis, with risk for heart attack approaching zero. (I'm impressed that Steve accomplished this on his own, something the majority of my colleagues haven't the least bit of interest doing.)

Part 2 of Steve's question will be tackled in a separate post.
Gretchen's postprandial diet experiment

Gretchen's postprandial diet experiment

Gretchen sent me the results of a little experiment she ran on herself. She measured blood glucose and triglycerides after 1) a low-fat diet and 2) a low-carb diet.









Gretchen describes her experience:

Several years ago I received a windfall of triglyceride strips that would expire in a week or so. I hated to waste them, so I decided to use them to test my triglyceride and BG responses to two different diets: low carb and low fat.

The first day I followed a low-fat diet. For breakfast I ate a lot of carbohydrate, including 1 oz of spaghetti cooked al dente and ¾ cup of white rice. For the rest of the day I ate less carbohydrate but continued to eat low fat.

The second day I followed a low-carb diet. For breakfast I ate a lot of fat, including a sausage, mushrooms fried in butter, 2 slices of bacon, and ¼ cup of the creamy topping of whole-milk yogurt. For the rest of the day I ate less fat, especially less saturated fat, but continued to eat low carb.

Both days I measured both BG and triglyceride levels every hour until I went to bed. On the low-carb day I had 3 meals. On the low-fat day, I was constantly hungry, had 4 meals, and kept snacking.

You can see the results in Figure 1. On the low-fat diet, after a “healthy” low-fat breakfast of low-glycemic pasta with low-fat sauce, my BG levels shot up to over 200 mg/dL and took more than 6 hours to come down. My triglycerides, however, remained low, and at first I thought perhaps the low-fat diet might be better overall. However, after about 6 hours, the triglyceride levels started to increase steadily, and by the next morning, they were higher than they had been the day before.
On the low-carb diet, my BG levels stayed low all day. However, after meals, the triglyceride levels skyrocketed. After meals they came down, and by the next morning they were lower than they had been the day before.

As I interpret these results, the high triglyceride levels after eating the high-fat meals represent chylomicrons, the lipoproteins that transport fat from your meals to the cells of your body. The high triglyceride levels the morning after eating the low-fat meals represent very low density lipoprotein, which takes the cholesterol your liver synthesizes when your intake of dietary cholesterol is low and distributes it to cells that need it, or again, to the fat for storage.

There are several interesting factors to consider here. First, when you have a lipid test done at the lab, it’s usually done fasting, which means first thing in the morning after not eating for 8 to 12 hours. It tells you nothing about what your triglyceride levels were all day.

Second, the low-carb diet resulted in lower fasting triglyceride levels, but much higher postprandial triglyceride levels. Which are more dangerous? I’m afraid I don’t know. You should also note that the high-fat, low-carb breakfast was extremely high in fat, including saturated fat. I don’t normally eat that much fat but wanted to test extremes.

Third, although the low-fat diet didn’t produce the very high postprandial triglyceride levels that the high-fat diet did, it produced extremely high BG levels that persisted for 6 hours. Some people think that it’s oxidized and glycated lipids that are the dangerous ones, so high BG levels and normal triglyceride levels might be more dangerous than very high triglyceride levels and normal BG levels. Note that high BG levels also contribute to oxidation rates.

Fourth, this shows the results of an experiment with a sample size of one. My physiology might not be typical. If you want to know how your own body’s lipids respond to different types of diets, you should get a lipid meter and test yourself. Unfortunately, your insurance is unlikely to want to pay for this, so it will be an expensive experiment.

The main point of this is that the results of different diets are complex. We have to eat. And what we eat can affect many different systems in our bodies. Finding the ideal diet that matches our own physiology and results in the best lipid levels as well as BG levels is a real challenge.



This was a lot of effort for one person. Thanks to Gretchen for sharing her interesting experience.

Gretchen makes a crucial point: Some of the effects of diet changes evolve over time, much as triglyceride levels changed substantially for her on the day following her experiment. Wouldn't it be interesting to see how postprandial patterns develop over time if levels were observed sequentially, day after day?

The stark contrast in blood sugars is impressive--Low-carb clearly has the advantage here. Are there manipulations in diet composition in low-carb meals that we can make to blunt the early (3-6 hour) postprandial lipoprotein (triglyceride) peak? That's a topic we will consider in future.

More of Gretchen's thoughts can be found at:

http://wildlyfluctuating.blogspot.com
http://www.healthcentral.com/diabetes/c/5068

Comments (11) -

  • ET

    11/27/2009 5:10:43 PM |

    Interesting results.  I follow a low-carbohydrate (<60 g/day) eating plan and I recently had blood drawn and sent to a lab for glucose and cholesterol testing.  It was supposed to be fasting, but the sample was drawn 4.5 hours after I had gotten up for the day.  By then, I'd already eaten breakfast several hours earlier and my coffee with coconut creamer and  half-and-half which represents around 60 grams of fat and 9 grams of carbs.  Both my  glucose and triglycerides were 91.  My total cholsterol was unchanged.  My fasting triglycerides are usually around 45.  I did exercise prior to having the sample taken which could influence my triglycerides.

    On an earlier occassion, I also had a non-fasting cholesterol test performed by a lab and the sample was taken mid-afternoon.  I'd consumed around 150g of fat total that day, starting nine hours earlier and my triglycerides were 79.

  • DrStrange

    11/27/2009 6:07:28 PM |

    Having done similar myself though only testing blood sugar, I can say for certain that if you ate a truly low fat diet (<10% calories from fat) for 2 weeks prior to the test and then ate a truly low fat meal, your blood glucose curve would have been similar to that for the low carb meal.  The spike comes from insulin resistance, largely caused by dietary fat.  It takes about 2 weeks on a low fat diet for that component of IR to be reversed.  I have repeated this same experiment several times with identical results.

    There are two ways to keep a fairly flat sugar curve.  One is a very low carb diet, the other a very low fat diet.  For the low fat diet to work however it must be constant without cheating.  In my experiments I found that only one meal of "normal" fat content, increased IR and caused sugar spikes for many days after.  Over about 10-14 days, my post postprandial sugar curve returned to normal.

  • Nigel Kinbrum BSc(Hons)Eng

    11/27/2009 8:09:00 PM |

    Any chance of persuading someone (Oxford Group, say) to do a randomised crossover intervention trial with a suitable washout period and using different Carb/Fat percentages e.g.
    15P, 55C, 30F (Standard American/English Diet) alternating with:-
    15P, 5C, 80F
    15P, 15C, 70F
    15P, 25C, 60F
    15P, 35C, 50F
    15P, 45C, 40F
    15P, 65C, 20F
    15P, 75C, 10F but without adding extra sugar? The trial previously mentioned has received criticism on a board I post on for adding extra sugar to exaggerate results.

  • Gretchen

    11/28/2009 2:12:20 PM |

    DrStrange, perhaps it was not clear from the quoted material, but I am diabetic. My BG would go up on a low-fat diet. That's what I was on for about 6 months after diagnosis, and I certainly did not have normal blood glucose levels. My A1c was much higher than it was on low-carb, high-fat.

    However, it would be very interesting if nondiabetic people repeated my experiment. I think exaggerated TG responses may be caused by whatever it is that causes the diabetes.

  • Anonymous

    11/28/2009 3:01:50 PM |

    I think DrStrange illustrates that there must be momentum to physiological responses to what is a typical diet for any one person. A low carber's insulin levels may not be ready to handle an untypical (for them)carbohydrate load while a person with a low fat diet maintains higher insulin at all times.

  • Gretchen

    11/28/2009 3:32:59 PM |

    My experiment was flawed in several ways. I was not planning on publicizing the results, so I didn't weigh food or make sure the protein amounts were the same.

    And I didn't do the usual 3-day high-carb eating to make sure I was producing carb-producing enzymes. Not eating carbs can produce diabetes blood glucose (BG) levels in a nondiabetic: called "starvation diabetes" because starvation is the ultimate LC diet.

    However, I already knew I was diabetic. And people with diabetes have different lipid responses, so someone without diabetes would probably not see such a dramatic difference.

    A good experiment for a nondiabetic who has been on a LC diet would be the following:

    1. Measure BG and TGs for a day on your usual LC diet. Weigh the food so you can get exact nutrient levels. This would tell you what happens when you're adapted to the LC diet. Probably measuring every 2 hours would be enough.

    2. Eat a low-fat diet without preparation and follow BG and TGs for a day.

    3. Continue to eat the low-fat diet for a minimum of 3 days, maybe a week or 2 as suggested by DrStrange. Then repeat the experiment in No. 2, eating exactly the same thing.

    4. If you wish, repeat the experiment in No. 1, to see if your lipids went high when you weren't adapted to the LC diet.

    I do know someone else who was concerned that she might be diabetic, and while on a LC diet, her BG levels in a home "glucose tolerance test" approached diabetic levels. She then went on some kind of vegan diet, and on this diet, her BG levels stayed low on the GTT.

    So yes, not eating carbs and eating more fat (two different inputs) can produce a result that looks like diabetes. Which of these two factors is more important is not clear because when you reduce one nutrient you have to increase another to keep the calorie content constant.

  • DrStrange

    11/28/2009 3:45:39 PM |

    Gretchen, were you consistently at about 10% total calories from fat on your "low fat diet"?  Fat intake for most needs to always be not more than about 10% of total calories  for insulin resistance to be dramatically reduced. If someone is insulin dependent, the insulin they take will be maximally effective in that case but the fat intake must be at that low level for every meal ongoing.  One meal with excess fat and IR can shoot up and take many days to come back down.  This is what I found in my body.  Also, this is presupposing that all carbs are coming from very few fruits, vegetables, whole/intact grains (not flour, not sugar, etc)

    I really do not know which is healthier in the long run for someone who is insulin dependent, low fat/high carb or high fat/low carb.  There are studies showing increases, long term, of a number of health problems w/ high fat intake.  On the other hand, w/ the low fat diet you would need to use more insulin which is inflammatory.

  • DrStrange

    11/28/2009 3:59:33 PM |

    Anonymous, I do not have high insulin levels, in fact the opposite!  My A1c was creeping up a couple years ago (peaked at 6.4) so i tried low carb for 9 months and felt worse and worse the entire time.  More research and switched to low fat/high carb.  I have been on a very low fat, vegan (McDougall) diet for about 20 months now.  My A1c last tested 5.1 fasting insulin is <2.00 uIU/ml.  Recent glucose tolerance test with insulin values showed this after fasting ingestion of 75 gm glucose (I am only 5'3" 110 pounds:

    BG (mg/ml) fasting=82, 1/2 hour=114 1 hour=103, 2 hour=86, 3 hour=100

    insulin (uIU/ml) fasting<2, 1/2 hour 8.5, 1 hour=11.0, 1 1/2 hour=13.4, 2 hour=18.1

  • Gretchen

    11/28/2009 9:56:57 PM |

    DRStrange

    Maybe we should discuss this privately, as the best way to treat diabetes is really not the topic of this blog. There are so many variables. You can get my e-mail on my blogsite, which is at the end of the stuff that Dr. Davis cited. Use Wildly Fluctuating.

  • buy jeans

    11/2/2010 8:21:09 PM |

    Gretchen makes a crucial point: Some of the effects of diet changes evolve over time, much as triglyceride levels changed substantially for her on the day following her experiment. Wouldn't it be interesting to see how postprandial patterns develop over time if levels were observed sequentially, day after day?

  • Dharini

    11/13/2011 11:56:52 PM |

    De novo lipogenesis is almost non-existant in humans. Trigs being high the day following a high carb meal probably reflect the regular trigs levels for a particular person. This would be true for any macronutrient composition that is not low in carbs.

    Naturally after a low carb meal there is an increased turnover of lipids because the brain does not have any glucose or glycogen sources for fuel. Thus, triglyceride levels fall ad fasting triglyceride levels are low.

    More importantly, fasting triglycerides DO NOT independently predict risk of heart disease once you adjust for post-prandial triglycerides. (Bansal et al_JAMA 2007_Fasting Compared With Nonfasting Triglycerides and Risk of Cardiovascular Events in Women)

    The effects of a low carb diet on postprandial triglycerides has been measured over 4 weeks in a study by Natalie et al_Diabetes Care 2009. They also found a worsening of triglycerides post prandially.

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