Carbohydrate restriction improves the features of Metabolic Syndrome. Metabolic Syndrome may be defined by the response to carbohydrate restriction
© Volek and Feinman; licensee BioMed Central Ltd. 2005
Received: 25 October 2005
Accepted: 16 November 2005
Published: 16 November 2005
Metabolic Syndrome (MetS) represents a constellation of markers that indicates a predisposition to diabetes, cardiovascular disease and other pathologic states. The definition and treatment are a matter of current debate and there is not general agreement on a precise definition or, to some extent, whether the designation provides more information than the individual components. We consider here five indicators that are central to most definitions and we provide evidence from the literature that these are precisely the symptoms that respond to reduction in dietary carbohydrate (CHO). Carbohydrate restriction is one of several strategies for reducing body mass but even in the absence of weight loss or in comparison with low fat alternatives, CHO restriction is effective at ameliorating high fasting glucose and insulin, high plasma triglycerides (TAG), low HDL and high blood pressure. In addition, low fat, high CHO diets have long been known to raise TAG, lower HDL and, in the absence of weight loss, may worsen glycemic control. Thus, whereas there are numerous strategies for weight loss, a patient with high BMI and high TAG is likely to benefit most from a regimen that reduces CHO intake. Reviewing the literature, benefits of CHO restriction are seen in normal or overweight individuals, in normal patients who meet the criteria for MetS or in patients with frank diabetes. Moreover, in low fat studies that ameliorate LDL and total cholesterol, controls may do better on the symptoms of MetS. On this basis, we feel that MetS is a meaningful, useful phenomenon and may, in fact, be operationally defined as the set of markers that responds to CHO restriction. Insofar as this is an accurate characterization it is likely the result of the effect of dietary CHO on insulin metabolism. Glucose is the major insulin secretagogue and insulin resistance has been tied to the hyperinsulinemic state or the effect of such a state on lipid metabolism. The conclusion is probably not surprising but has not been explicitly stated before. The known effects of CHO-induced hypertriglyceridemia, the HDL-lowering effect of low fat, high CHO interventions and the obvious improvement in glucose and insulin from CHO restriction should have made this evident. In addition, recent studies suggest that a subset of MetS, the ratio of TAG/HDL, is a good marker for insulin resistance and risk of CVD, and this indicator is reliably reduced by CHO restriction and exacerbated by high CHO intake. Inability to make this connection in the past has probably been due to the fact that individual responses have been studied in isolation as well as to the emphasis of traditional therapeutic approaches on low fat rather than low CHO.
We emphasize that MetS is not a disease but a collection of markers. Individual physicians must decide whether high LDL, or other risk factors are more important than the features of MetS in any individual case but if MetS is to be considered it should be recognized that reducing CHO will bring improvement. Response of symptoms to CHO restriction might thus provide a new experimental criterion for MetS in the face of on-going controversy about a useful definition. As a guide to future research, the idea that control of insulin metabolism by CHO intake is, to a first approximation, the underlying mechanism in MetS is a testable hypothesis.
NCEP-ATP III and WHO Definitions of Metabolic Syndrome. Other definitions in references ,  and .
ATP III Definition
Any three or more of the following criteria:
a) Waist circumference: >102 cm in men, >88 cm in women
b) Serum triglycerides: ≥150 mg/dL
c) HDL-cholesterol: <40 mg/dL in men, < 50 mg/dL in women
d) Blood pressure: ≥130/85 mm Hg
e) Serum glucose: >110 mg/dL
Diabetes or IFG or IGT or insulin resistance, plus at least two of the following criteria
a) Waist-to-hip ratio: >0.90 in men, >0.85 in women
b) Serum triglycerides: >150 mg/dL or HDL-cholesterol: <35 mg/dL in men and <40 mg/dL in women
c) Blood pressure: >140/90 mmHg
d) Urinary albumin excretion rate > 20 μg/min or albumin/creatinine ratio >30 mg/g
In reading recent reviews of low CHO diets [12, 13], we were struck by the fact that the symptoms of MetS are precisely the ones targeted by diets that restrict CHO. This effect is not entirely surprising since it has been known that dietary CHO tends to raise glucose, insulin, and TAG and lower HDL and conversely, replacing CHO with monounsaturated fat or with fat and protein improves glycemic control and dyslipidemia expressed as elevated TAG and lowered HDL. Nevertheless, most formal guidelines and clinical papers have not emphasized CHO restriction as a viable approach to treating MetS or the individual components [14, 15] and although several authors have indicated an association between MetS and CHO restriction in passing [5, 13, 16, 17] the explicit connection has not been made.
In this study we have isolated five features that are common to almost all definitions. Waist circumference is probably the currently preferred measure for obesity, but most of the literature provides data on body mass and we have used that measure. We have collected information in the literature supporting the notion that these symptoms are specifically ameliorated by reduction in dietary CHO, and to the extent that they have been directly compared, low CHO strategies appear to have an advantage over low fat diets or simple calorie reduction. We conclude that response to CHO restriction may be an operational definition for MetS and that a likely mechanism is the control of insulin metabolism. Finally, we side with those who maintain that MetS is a real thing in the sense that the concomitant appearance of several symptoms may provide different recommended strategies than the isolated factors. It is important to point out, however, that MetS is not a disease but a complex of markers and practitioners may decide that LDL or other factors are more important for individual patients and in these cases other therapies will be appropriate. On the other hand, reliance on LDL as a prime indicator must be tempered by the importance of LDL particle phenotypes which, in turn, correlate with TAG and HDL levels, a subset of MetS markers.
CHO restriction for weight loss
It is sometimes stated that MetS is caused by obesity . In our view, this is only one of several possible theories and would assume that we know the causes of obesity. It is at least plausible that obesity and the features of MetS arise in parallel from disruptions of insulin metabolism (possibly a consequence of high insulin due to chronic high dietary CHO). Also a high prevalence of so called metabolically obese-normal-weight individuals with MetS has long been known . In any case, it is generally agreed that the first line of attack against MetS or frank diabetes should be reduction in body mass. The method for attaining this weight loss, however, is more controversial. Studies in the literature imply that a low fat diet is a kind of standard although much recent evidence has indicated the value of strategies based on carbohydrate restriction. Whereas low fat diets for calorie reduction can undoubtedly be effective for many people, we feel that they cannot be taken as an established standard; to our knowledge, there has never been a long term study where a low fat diet was instituted in the absence of confounding features such as cessation of smoking and exercise. Also, fat restriction per se does not enhance long-term (one year or longer) weight loss or prevent regain of weight  and the record of compliance is modest at best . Most important, the fact that, in the obesity and diabetes epidemic, fat consumption went down (for men, the absolute amount) and carbohydrate consumption went up [21, 22], means that other approaches should be considered. Insofar as isocaloric comparisons have been made, low CHO diets do at least as well, and usually better, than low fat diets (see below). Most striking, in ad lib. trials, subjects on low CHO diets show a spontaneous reduction in calories without any dissatisfaction [23–25], a goal that is universally considered desirable but generally recognized as difficult to impose by cognitive admonitions on calorie restriction per se . In general, published data support the idea that low CHO diets are at least as effective as other weight reduction methods. Further, experimental results show an improvement in lipid outcomes (discussed below), no damage to normal kidneys , the potentially beneficial rather than deleterious effects of ketone bodies [28–30] and the prevalence of strategies based on low glycemic index [31, 32] or reduction of refined CHO or sweets, all approximations of low CHO diets.
Despite increased acceptance of low carbohydrate regimens, it is important to point out that there is a tendency to equate any kind of carbohydrate restriction with the popular Atkins diet  and to equate the Atkins diet with a recommendation for high fat and with high saturated fat, in particular. There are, however, many strategies for reducing carbohydrate intake both clinically and in popular diets [34, 35]. Whereas high fat is permitted on the Atkins diet and other low carbohydrate diets it is not specifically recommended; as noted above, at least three published studies [23–25] and much anecdotal evidence suggests that, in practice, the major effect is reduction in carbohydrate intake with limited replacement with either fat or protein. In addition, although a deleterious effect of saturated fat, at least in the absence of CHO control, is established [36, 37], it has been known since the Seven Countries study  that total dietary fat does not correlate with cardiovascular risk and the two effects should not be confused [36, 37]. In any case, no particular diet is recommended here; the studies cited include all kinds of interventions, and the underlying rationale is the effect of carbohydrate on insulin. The principle espoused here should be evaluated on this basis.
It seems that a prudent statement of the state of affairs would be that, at this point, dieters have many strategies, none perfect, for weight loss and CHO restriction of some kind is one of them.
CHO restriction and MetS
Our argument in the following exposition is that a patient presenting with a high BMI or large waist line has several options for weight loss. Many factors, including physician experience, ethnic background, personal taste and genetic profile, will determine the first one to be tried. A patient presenting with high BMI and high TAG may have a clear best strategy because of the known benefit of CHO reduction and the accepted deleterious effect of high CHO intake. Data from the literature suggests that a patient with more than two of the symptoms of MetS or the particular combination of high TAG/HDL ratio should clearly try CHO restriction as a first strategy. Conversely, the patient with high BMI and high LDL might sensibly try a low fat strategy first. We provide a summary of cases in which CHO restriction is beneficial in the treatment of MetS or its individual symptoms. The review is meant to be representative rather than comprehensive but we think that the wide variety of cases studied and the range of conditions against a background of accepted effects of carbohydrate on the relevant parameters, provides a strong case for our thesis. In addition, the generally consistent benefit of CHO restriction allows a possible further basis for identifying the common thread in MetS if such truly exists.
CHO restriction improves symptoms of MetS
Rickman et al. 1974
Normal Weight Men/Women
LaRosa et al. 1980
Phinney et al. 1980
Phinney et al. 1983
Normal Weight Men
Volek et al. 2000
Normal Weight Men
Sharman et al. 2002
Normal Weight Men
Meckling et al. 2002
Westman et al. 2002
Dashti et al. 2003
20 to 30
Hays et al. 2003
Obese Men/Women w/ CVD
Obese Women PCOS
Obese Women Reactive Hypoglycemia
Dashti et al. 2004
Boden et al. 2005
Improvement is seen in the absence of weight loss
Sharman et al. 2002
Normal Weight Men
Volek et al. 2003
Normal Weight Women
Allick et al. 2004
Type 2 Diabetics
DBP (mm Hg)
Brehm et al. 2003
Sondike et al. 2003
Samaha et al. 2003
Foster et al. 2003
Volek et al. 2004
Sharman et al. 2004
Brehm et al. 2004
Meckling et al. 2004
Stern et al. 2004
Yancy et al. 2004
Aude et al. 2004
Seshadri et al. 2004
McAuley et al. 2004
Dansinger et al. 2004
In ad lib. comparisons low CHO diets do better than low fat diets for weight loss and MetS
At this point, we have established that CHO restriction improves MetS and that this can be independent of weight loss. Weight loss can, of course, occur with low fat diets and we next consider the extent to which one or the other strategy is more effective. (Table 4) summarizes results of several studies in the literature demonstrating that low CHO diets generally do better than low fat diets in ad lib. comparisons. Although there is great variability, a pattern of better responses on very low CHO is evident. It is notable that Samaha et al studied a population in which 39 % had diabetes and 43% had MetS .
Figure 1 shows data from the study of Foster, et al.  and, as noted above, despite the relative similarity in weight loss, the markers of MetS were more favorable in the low CHO arm than the LF arm.
In isocaloric comparisons, low CHO diets do better than LF diets for weight loss
Because weight reduction is considered the first line of attack in MetS or frank diabetes it is worth considering the record of low CHO diets on this parameter alone. It is generally agreed that the major effect of a low CHO diet is a spontaneous reduction in calories. In studies mentioned above, subjects did not significantly increase fat or protein intake but merely removed CHO from their diets [23–25]. Foster and Samaha also attributed the better performance of low CHO arm to decreased caloric intake, although this was not actually measured.
Beyond spontaneous caloric reduction, however, it has been shown that the macronutrient composition of the diet can affect the efficiency of energy utilization and greater efficacy, the so-called metabolic advantage, of low CHO diets compared to LF diets has been the subject of several reports (Reviews: [39, 41]. It has long been argued that there must be some mistake because it is physically impossible and would violate the laws of thermodynamics. We have shown this argument is based on misunderstanding of the laws of thermodynamics [39, 47–49] and the effect of variable efficiency is now better accepted [50, 51]. The precise conditions that allow the so-called metabolic advantage to occur are not known although Cornier, et al.  have suggested that those subjects with insulin resistance will show a metabolic advantage on a low CHO diet whereas those who are insulin sensitive do better on low fat. This is consistent with the proposal here, namely that MetS, where insulin-resistance is generally considered a major component, can be defined by the response to CHO restriction. The study of Cornier, et al.  had only a small number of subjects and the low CHO arm was not particularly low (40%) but their theory follows from the general rationale of the effect of CHO on energy efficiency. The factors that determine whether a metabolic advantage can play a role in a CHO restricted diet is unknown but given that the insulin resistance association is reasonable, it would seem that some form of CHO restriction is one of the standard, if not preferred attacks on obesity where MetS is suspected.
Is this new?
Substitution of protein for CHO improves MetS
Explicit low-fat/high CHO interventions exacerbate MetS
In the approach taken here, we see dietary fat as playing a largely passive role (not withstanding differences between different fats) and the disposition of dietary fat is controlled by insulin and other hormones that, in turn, depend on dietary CHO which we take as the controlling variable. Thus, characterizing a low CHO diet as high fat [58, 59] ignores the question about the underlying mechanism; we have recently raised the question of whether "high fat" is a meaningful description in the absence of information about CHO . In the cases we discuss next, the focus is interventions described or designed as low fat. Our point here, however, is that although low fat diets exacerbate the markers of MetS, it is likely the high CHO rather than the fat level that is important.
A very influential paper by Garg, et al.  describes a four center randomized study of patients with type 2 diabetes receiving glipizide treatment. The study compared diets where monounsaturated fat was substituted for CHO or vice-versa. Because of its importance, we quote from this article. The rationale for the study, according to the authors is that:
"Compared with diets rich in saturated fats, low-fat, high-carbohydrate diets are reported to reduce serum low-density lipoprotein (LDL) cholesterol levels. Recent studies, however, suggest the high-carbohydrate diets may accentuate hypertriglyceridemia, reduce serum high-density lipoprotein (HDL) cholesterol concentration, and may even worsen hyperglycemia and/or raise plasma insulin levels."
In short, the question is whether high CHO diets worsen MetS. The conclusions of the paper state:
"The study confirms that HC (high carbohydrate diets) increase plasma TAG levels and increase VLDL-C concentrations in NIDDM patients. In this study the HC diet raised fasting plasma triglyceride levels and VLDL-C concentrations by 24 % and 23 % respectively compared with the HMUF diet. Furthermore, daylong levels of plasma triglycerides were also elevated on the high-carbohydrate diet. Consistent with the results of previous studies, plasma levels of total cholesterol and LDL cholesterol were not different on the two diets in this study. The study, therefore substantiates the fact that high carbohydrate diets offer no advantage in lowering LDL levels in NIDDM patients compared with high-fat diets that are low in saturated fats."
The general case: substitution of fat for CHO improves MetS
The substitution of fat for CHO is, in fact, generally beneficial for MetS. In a recent meta-analysis, Mensink, et al.  showed the effect of substitution of different fat sources or carbohydrate for the fat in the average US diet at 10% of energy. The conclusion was that substitution of carbohydrate had the most unfavorable response on the total cholesterol to HDL ratio, significantly worse than butter or palm oil (Figure 5).
Summary of review and hypothesis to this point
We have summarized work in the literature showing that low CHO interventions improve the markers of MetS in normal subjects, patients with MetS and diabetics. In comparative studies, they are at least as effective as low fat diets for weight loss and, tend to show better improvement in the other markers of MetS. Isocaloric studies similarly support the idea that the markers of MetS respond preferentially to low CHO diets.
The state of accepted scientific thinking for the world at large is unknown but we have made the case that it is an acknowledged principle that low CHO diets tend to reduce TAG, raise HDL and improve glycemic control whereas LF/high CHO diets tend to have the opposite effect. Perhaps the strongest indication that such an idea is generally accepted is the paper by Rock, et al  where the effect of low fat diets in cancer patients was studied. To demonstrate compliance with the low fat recommendations, the authors showed increased TAG and reduced HDL levels. These effects were judged not significant enough to cause a risk for CVD but demonstrate that low fat (higher CHO) diets point in that direction.
We reiterate that this article is not meant to make recommendations – for which many factors must be considered – but rather to show the association between CHO restriction and improvement in symptoms of MetS. Many low fat interventions have successfully reduced LDL, an established risk factor for CVD. If our hypothesis is correct, however, these same interventions should worsen the features of MetS. To some extent this is established from the principles noted above, but we provide an example from a well done experiment in the literature to support this corollary. Finally, in considering the dialectic of treating MetS with CHO restriction vs. high LDL, with low fat diets, it is important to consider both individual variation and the role of LDL particle size. We consider that last.
Studies of low-fat diets
The most salient feature of the obesity epidemic from the standpoint of food consumption is the dramatic increase in CHO intake and the reduction in fat intake (for men, the absolute amount). To our knowledge, the decreased fat intake has not been accompanied by reduction in the incidence of CVD in unmedicated population. These data suggest that low fat diet recommendations per se are not likely to help MetS. If the fundamental idea proposed here is correct, then experimental interventions targeting lower fat that concomitantly raise CHO should, in fact, have a deleterious effect on the markers of MetS. Again, one will have to decide if the symptoms of MetS are more important than LDL or total cholesterol which are typically reduced on LF diets in the unmedicated population.
Macronutrient composition of diets in the Delta-1 study. Data from reference .
total fat (%)
Average American diet (AAD)
Low Saturated Fat
Ave American Diet vs. Step 1
Ave American Diet vs. Low Sat Fat
Ginsberg, et al.,1998 reference 
TAG (mmol/l) antiln (log)
TAG/HDL (arbitrary units)
The overall conclusion is that "dietary changes suggested to be prudent for a large segment of the population will primarily affect the concentrations of the most prominent antiatherogenic HDL subpopulation. However, the simultaneous reduction in the atherogenic LDL subpopulation will most likely offset any potential negative effect on cardiovascular risk." As noted above, the decision as to "most likely" outcome must rest with individual patients and physicians.
Role of individual responses and LDL heterogeneity
As noted in Garg's study, changes in LDL may not be as reliable as changes in other markers. Volek, et al. for example showed that whereas TAG was reduced in almost every subject on a low CHO diet, responses in LDL were highly variable . The importance of LDL subpopulations has recently been appreciated and, unlike total LDL, changes in specific LDL particles show a consistent pattern with respect to dietary change.
The pattern B phenotype rarely occurs in isolation and, our major concern here is that it is metabolically linked to and co-expressed with other characteristics of MetS, particularly elevated TAG and low HDL. Krauss and colleagues reported that switching from a low CHO/high-fat diet (46% fat) to a high CHO/low-fat diet (26% fat) resulted in lowering of LDL, but also a worsening of TAG and HDL when switching to the low fat diet . In men that were pattern A at a fat intake of 20 to 24%, a further reduction in dietary fat to 10% and CHO to 76% of energy resulted in conversion to B, with continued worsening of TAG and HDL, and no additional LDL-lowering .
The TAG/HDL connection
In the search for markers for both insulin resistance and predisposition to CVD, recent research has focused on the value of the ratio of TAG:HDL. McLaughlin, et al.  have shown a correlation between insulin resistance as measured by steady-state glucose levels after infusion of glucose, insulin and octreotide (to suppress endogenous insulin secretion). The conclusions of their study were that TAG and HDL were independently related to insulin resistance and the TAG/HDL ratio was the best predictor of insulin resistance. Of importance here is that the results showed that this ratio is comparable to the ATP III criteria for MetS in predicting insulin resistance and "even better in prediction the LDL phenotype B in two separate populations who were on different diets." This is, in fact, only the most recent of several studies (references in ) that have shown a correlation between TAG/HDL and insulin resistance and CVD risk as measured by LDL particle size. Table 2-4 as well as Figures 2 and 5 indicate that low CHO diets reliably reduce this marker. Inability to recognize this is again due to the separate conditions in which they are measured and the continued emphasis on reducing dietary fat above all else.
McLaughlin's analysis  identified a TAG/HDL ratio of ≥ 3.5 as a cutoff for identifying the insulin-resistant patient most at risk for CVD. It is of interest that in Foster's study  described above (Table 3; Figure 1), the average beginning values were 4.6 and 4.3 in the low CHO and low-fat arms, respectively, substantially above this cutoff value. After six months, the low CHO arm had reduced this marker to 3.7 while the LF group showed little change at 4.2. Similarly, in the Delta-1 study, neither the Step 1 diet nor the low fat diet were able to improve the TAG/HDL ratio which was above the threshold value of 3.5 (Table 6)).
A recent review by Ginsberg  has provided an excellent description of the possible mechanisms and central role of insulin resistance in mediating the dyslipidemia of MetS. In combination with a proposal by Volek  on the mechanism for the reversal of this process, a reasonable understanding of the connection between MetS and CHO restriction is possible.
A primary target of insulin is hormone-sensitive lipase. Adipocyte insulin resistance, plausibly a down regulation of insulin response due to continued stimulation (from higher dietary CHO), leads to increased lipolysis [78, 79]. This will lead to greater delivery of fatty acids and an increase in hepatic esterification, and subsequent over production of VLDL, particularly the TAG-rich VLDL1. In combination with impaired plasma TAG clearance, a constant state of hypertriglyceridemia in the postabsorptive and postprandial period occurs. This leads to the exchange of TAG in VLDL for cholesteryl ester in LDL. The resulting TAG-rich LDL particle is a preferred substrate for hepatic lipase and lipoprotein lipase and thereby for generation of small, dense LDL. A similar neutral lipid exchange likely occurs with HDL whereby TAG-rich HDL is hydrolyzed by lipoprotein lipase resulting in the generation of smaller HDL particles that are rapidly removed from the circulation. In this way, elevated TAG resulting from disruption in insulin function, plays a central role in regulating the atherogenic dyslipidemia of MetS.
As noted above, Volek, et al.  have reviewed many studies showing that CHO restriction results in significant reductions in postprandial lipemia, and beneficial effects on HDL and intravascular processing of lipoproteins. A key component is what might be called the fatty acid paradox. Whereas insulin resistance is frequently characterized by high fatty acid levels, CHO restriction can improve insulin resistance while raising fatty acids. The latter effect is presumed to be due to lower insulin levels and disinhibition of hormone sensitive lipase. This is accompanied by enhanced cellular fatty acid uptake, mitochondrial transport and increased oxidation. The bias toward fat oxidation over storage reduces hepatic TAG and reduces synthesis and secretion of VLDL.
A joint position statement by several organizations recommended "current dietary guidelines from the ADA, AHA and the NCEP-ATP III.... These recommendations may require modification, however, as new information is generated from additional diet intervention studies ." Rather than additional studies, however, we provide new information from an evaluation of papers already in the literature that may provide a basis for modification. Data compiled in Figures 2, 3, 4 show that low CHO diets improve the symptoms of MetS as defined by five common criteria. We propose that in addition to potential value as therapy, the response to CHO restriction might be considered an operational definition of MetS. Beyond formal categorizing, the idea is consistent with the generally held belief that MetS is intimately involved with some form of insulin resistance. (The importance of other factors such as inflammation are not mutually exclusive). Cornier et al. showed differential benefit of low CHO vs. low fat diets for people with or without insulin resistance ; this study might be thought of as a model for future work to follow this line of thinking. We emphasize that our main point is that an intimate connection between CHO restriction and the complex of symptoms of MetS is seen in the literature of both low CHO studies and low fat (higher CHO) studies. Individual judgment as to the importance of MetS compared to other specific factors or more global assessments such as the Framingham criteria will determine how use is made of this connection. We do believe, however, that ignoring studies on CHO restriction would be unscientific and unproductive.
How low is low carbohydrate?
Goneril. What need you five-and-twenty, ten, or five...?
Regan. What need one?
William Shakespeare, King Lear.
The data summarized here suggest that some degree of CHO restriction would provide a first line of attack against the symptoms of MetS. The principle of CHO restriction is that by keeping insulin low, metabolism is biased towards lipid oxidation rather than storage, or the effects of fatty acids on peripheral tissues. Most studies that reported deleterious effects of saturated fat have been carried out in the presence of high CHO and there is a real question whether such effects carry over into hypocaloric conditions or those where insulin is better controlled [28, 60, 81, 82].
In general, whereas current thinking in MetS emphasizes the consequences of insulin resistance, we feel that the role of CHO-induced hyperinsulinemia as a causative factor in generating the initial insulin resistance, dyslipidemia or obesity has been under-appreciated. In any case, there are now many ways to implement CHO restriction ranging from ketogenic diets (less than 50 g/d) to diets based on glycemic index, an indirect method of reducing insulin excursions. The question is how low is low? It is clear that 40% CHO is better than 55% for MetS and there has been some reluctance to go lower even though the studies that have done so show continued improvement. Perusal of Table 2-4 suggests that the lower, the better. Insofar as pattern B is associated with insulin resistance and MetS, examination of Figure 4 supports this idea. The barriers to exploring lower CHO diets appears to be continued emphasis on low fat intake although it has been known since Keys's Seven Country study that total fat in the diet does not correlate with cardiovascular risk . At least as indicated in its popular diet book, the No-Fad Diet , the American Heart Association has removed its limitation on total fat which should open the door to more flexible diet interventions. Since many studies have shown that there is frequently a spontaneous reduction in total caloric intake in very low CHO diets and that CHO removed is not replaced by fat or protein, very low CHO now appears as a far more prudent choice than judged in the past.
Is this new?
The phenomenon of CHO-induced hypertriglyceridemia is long established [84–88]. In addition, low fat diets are known to reduce, not only LDL, but also HDL levels. For example, the 2004 recommendations of the American Diabetic Association (ADA) state that "Low-saturated fat (i.e., 10% of energy) high carbohydrate diets increase postprandial levels of plasma glucose, insulin, triglycerides and, in some studies, decrease plasma HDL cholesterol when compared in metabolic studies to isocaloric high monounsaturated fat diets." This is our conclusion (our italics). We think the ADA statement could have been more clearly worded: "Substitution of CHO for monounsaturated fat "increase(s) postprandial levels of plasma glucose, insulin..." or could have been more comprehensive: "substitution of CHO or protein for fat increases..." In other words, it has been known for some time that low fat reduces HDL as well as LDL concentrations as described clearly in the Delta-1 study. Again, Rock's study that used the increase in TAG and decrease in HDL as a marker for compliance to a low fat diet supports the idea as an accepted principle.
In combination with the experimentally observed and intuitively obvious reduction in fasting blood glucose and insulin, our proposal for the importance of CHO replacement in the diet hardly seems new. Yet such an idea, to our knowledge has never been made explicit. The primacy of the low fat paradigm in traditional thinking may have played a role in ignoring this obvious correlation. However, we have, in various places, presented or summarized evidence that low CHO diets have a beneficial effect on MetS [13, 16] but the tight connection proposed here conceptually eluded us. Having raised the question, however, it is now clear that it is perfectly consistent with established knowledge.
Is MetS useful?
The intricacies of the debate among official agencies on the clinical importance of MetS  are beyond the scope of this article. As a first order approximation, however, we are inclined to follow Reaven's strategy in the Point/Counterpoint paper [10, 89] for assessing the need for the concept of MetS. He describes a patient with a BMI of 27.8 kg/m2 who would not conform to the WHO definition of MetS because of acceptable values of glucose, TAG and an HDL level of 37 mg/dL and he points out that if the HDL level fell to 33 mg/dL such a patent would fit a new criteria but would not sensibly be treated in a different way. Under the approach considered here, the patient with the higher HDL would be presented with a number of options for weight loss whereas the patient with lower HDL might reasonably be counseled to CHO restriction as a first strategy. We therefore think that MetS or some combination of markers by any other name would have much more virility than the description of MetS as Methuselah in his amusing Counterpoint . We also side with the "Pro" position on the value for basic research. Reaven raises the critical question: "How can there be a common etiology for a diagnostic category based on satisfying 3 of 5 arbitrarily defined criteria when any combination of the 3 will define the same phenotype as any other trio of abnormalities.?" A plausible answer to this question is that if all the markers in MetS are related to hyperinsulinemia and/or insulin resistance, then the relative Km's for insulin for the different target proteins and different tissues are likely to lead to a variable time course for specific individuals and markers are likely to exceed cutoff at different times for each patient. Appearance of one marker may then be indicative of other still silent conditions.
Recommendations for the American population
The data summarized here suggest that there is value in the definition of MetS and that a nutritional strategy based on CHO restriction might sensibly be the "default" diet, the first to be tried, for patients with MetS. In the case of normal weight individuals with MetS, CHO restriction may be the only effective non-pharmacological approach for treating the diversity of symptoms. The choice of any intervention, however, depends on individual assessment of the relative importance of different risk factors and our goal here is the establishment of the close link between CHO restriction and MetS rather than any recommendation.
The recent AHA/NHLBI Scientific Statement on Metabolic Syndrome [90, 91] as well as the ATP III emphasize as the primary target, LDL, a marker that is not considered a feature of MetS and that may not even be high in many patients with MetS. Whereas nutritional recommendations are quite general (reduce weight, increase exercise), these reports emphasize a low fat diet (although limiting simple sugars). We think this is inconsistent and we have made the case that a low fat diet, if high in carbohydrate, seems to be widely accepted as raising TAG, lowering HDL and worsening glycemic control, seemingly the wrong thing for MetS. We also disagree with the assertion in the AHA/NHLBI statement that most low CHO diets are high in saturated fat. This statement is undocumented and, as noted in the introduction, essentially equates all reduced carbohydrate approaches and does not seem to distinguish between total and saturated fat. Even if it were true the statement avoids the question of the effect of saturated fat in the presence of low CHO or hypocaloric diets [60, 81, 82, 92]. In practical terms, a recommendation to reduce saturated fat on low CHO diets might be more helpful than blanket prohibition. In addition, the AHA/NHLBI report  presents the rationale for low CHO as the effect on appetite. Whereas this may be a component, it has been stated many times, and is part of basic biochemical education [16, 93–96], that the rationale of CHO restriction is the control of metabolism by insulin regulation. The effects described above clearly support this. Although we think that, within the framework of MetS, some recommendations can be made, in the end we are probably in agreement with Reaven's judgment that "What is required is less advice and more information ."
The data summarized here leave little room for doubt that the generally accepted deterioration in HDL and TAG levels with low fat diets and the established improvement in glycemic control with CHO restriction are part of a more general picture. The hypothesis that response to CHO restriction (because of the effect on insulin) is the defining feature of MetS is the proposed generalization. This idea raises several questions.
Is there a threshold level of CHO restriction that is necessary to elicit improvements in MetS? What is the effect of replacing the calories lost from CHO with protein or with fat, and in what proportion? How does this compare to not replacing them at all?
Does excessive CHO consumption cause MetS in susceptible individuals?
What is the relative risk in addressing MetS with CHO restriction compared to low fat diets for reduction in LDL? That is, what is the relative risk of high LDL vs. the symptoms that comprise MetS?
What is the role of genotype in determining the response to CHO restriction?
Five symptoms common to most definitions of MetS are those that are reliably improved by CHO restriction. Carbohydrate restriction is one strategy for weight loss but, in addition, improves glycemic control, insulin levels, TAG and HDL levels even in the absence of weight loss. We suggest that response to CHO restriction may, in fact, be an operational definition of MetS. Its underlying basis would rest on the idea that the features of MetS are associated with a disruption in insulin metabolism which is strongly influenced by dietary CHO. The extent to which this definition is useful may depend on its application by individual practitioners. Experimental studies that follow its lead or conversely disprove its fundamental premise should advance our understanding of obesity, diabetes and CVD. Dismissing CHO restriction without evidence, or expressing "concerns" rather than offering data will probably be less productive.
Table 2 - Effect of carbohydrate restriction on markers for Metabolic Syndrome (See Table 2)
Data shown in bold indicate improvement in marker, plain, worsening. References:1. ; 2. ; 3. ; 4. ; 5. ; 6. ; 7. ; 8. ; 9. ; 10. ; 11. ; 12. ; 13. .
Table 3 - Effect of carbohydrate restriction on markers for Metabolic Syndrome under conditions of constant body mass (See Table 3)
Data shown in bold indicate low CHO shows greater improvement in markers for MetS than LF; plain, LF is better. Table reference 3 shows the ratio of low CHO to LF. References: 1. ; 2. ; 3. .
Table 4 - Comparison of low CHO vs. LF diets on markers for Metabolic Syndrome (See Table 4)
Data shown in bold indicate low CHO (or mod-PROT) shows greater improvement in marker than LF; plain, LF is better. Experiment in reference  was carried out for a longer time period but diets became very similar. References:1. ; 2. ; 3. ; 4. ; 5. ; 6. ; 7. ; 8. ; 9. ; 10. ; 11. ; 12. ; 13. ; 14. .
Table 6 - Outcomes of the Delta-1 study (See Table 6)
Data from reference . bold indicates improvement in the parameter from Step 1 or low Saturated Fat diet compared to AAD; plain indicates worsening of parameter compared to AAD.
- (ATP III):
Adult Treatment Panel
American Diabetes Association
American Heart Association
Average American diet
National Cholesterol Education Program
World Health Organization
- Eckel RH, Grundy SM, Zimmet PZ: The metabolic syndrome. Lancet. 2005, 365 (9468): 1415-1428. 10.1016/S0140-6736(05)66378-7.Google Scholar
- Grundy SM, Brewer HBJ, Cleeman JI, Smith SCJ, Lenfant C: Definition of metabolic syndrome: Report of the National Heart, Lung, and Blood Institute/American Heart Association conference on scientific issues related to definition. Circulation. 2004, 109 (3): 433-438. 10.1161/01.CIR.0000111245.75752.C6.Google Scholar
- Grundy SM, Hansen B, Smith SCJ, Cleeman JI, Kahn RA: Clinical management of metabolic syndrome: report of the American Heart Association/National Heart, Lung, and Blood Institute/American Diabetes Association conference on scientific issues related to management. Arterioscler Thromb Vasc Biol. 2004, 24 (2): e19-24. 10.1161/01.ATV.0000112379.88385.67.Google Scholar
- Tonkin A: The metabolic syndrome -- a growing problem. European Heart Journal Supplements. 2004, 6: A37-A42.Google Scholar
- Aude YW, Mego P, Mehta JL: Metabolic syndrome: dietary interventions. Curr Opin Cardiol. 2004, 19 (5): 473-479. 10.1097/01.hco.0000134610.68815.05.Google Scholar
- Hanley AJ, Wagenknecht LE, D'Agostino RBJ, Zinman B, Haffner SM: Identification of subjects with insulin resistance and beta-cell dysfunction using alternative definitions of the metabolic syndrome. Diabetes. 2003, 52 (11): 2740-2747.Google Scholar
- Hunt KJ, Resendez RG, Williams K, Haffner SM, Stern MP: National Cholesterol Education Program versus World Health Organization metabolic syndrome in relation to all-cause and cardiovascular mortality in the San Antonio Heart Study. Circulation. 2004, 110 (10): 1251-1257. 10.1161/01.CIR.0000140762.04598.F9.Google Scholar
- McLaughlin T, Reaven G, Abbasi F, Lamendola C, Saad M, Waters D, Simon J, Krauss RM: Is there a simple way to identify insulin-resistant individuals at increased risk of cardiovascular disease?. Am J Cardiol. 2005, 96 (3): 399-404. 10.1016/j.amjcard.2005.03.085.Google Scholar
- Kahn R, Buse J, Ferrannini E, Stern M: The metabolic syndrome: time for a critical appraisal: joint statement from the American Diabetes Association and the European Association for the Study of Diabetes. Diabetes Care. 2005, 28 (9): 2289-2304.Google Scholar
- Grundy SM: Point: the metabolic syndrome still lives. Clin Chem. 2005, 51 (8): 1352-1354. 10.1373/clinchem.2005.050989.Google Scholar
- Reaven GM: The metabolic syndrome: requiescat in pace. Clin Chem. 2005, 51 (6): 931-938. 10.1373/clinchem.2005.048611.Google Scholar
- Arora SK, McFarlane SI: The case for low carbohydrate diets in diabetes management. Nutr Metab (Lond). 2005, 2: 16-10.1186/1743-7075-2-16.Google Scholar
- Volek JS, Sharman MJ, Forsythe CE: Modification of lipoproteins by very low-carbohydrate diets. J Nutr. 2005, 135 (6): 1339-1342.Google Scholar
- Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation. 2002, 106 (25): 3143-3421.
- Ashen MD, Blumenthal RS: Clinical practice. Low HDL cholesterol levels. N Engl J Med. 2005, 353 (12): 1252-1260. 10.1056/NEJMcp044370.Google Scholar
- Feinman RD, Makowske M: Metabolic Syndrome and Low-Carbohydrate Ketogenic Diets in the Medical School Biochemistry Curriculum. Metabolic Syndrome and Related Disorders. 2003, 1: 189-198. 10.1089/154041903322716660.Google Scholar
- Westman EC, Yancy Jr. WS, Haub MD, Volek JS: Insulin Resistance from a Low-Carbohydrate, High Fat Diet Perspective. Metabolic Syndrome and Related Disorders. 2005, 3: 3-7. 10.1089/met.2005.3.14.Google Scholar
- Ruderman N, Chisholm D, Pi-Sunyer X, Schneider S: The metabolically obese, normal-weight individual revisited. Diabetes. 1998, 47 (5): 699-713.Google Scholar
- Willet W: Increasing prevalence of overweight among US adults. The National Health and Nutrition Examination Surveys, 1960 to 1991. JAMA. 1994, 272: 205-211. 10.1001/jama.272.3.205.Google Scholar
- Poppitt SD, Keogh GF, Prentice AM, Williams DE, Sonnemans HM, Valk EE, Robinson E, Wareham NJ: Long-term effects of ad libitum low-fat, high-carbohydrate diets on body weight and serum lipids in overweight subjects with metabolic syndrome. Am J Clin Nutr. 2002, 75 (1): 11-20.Google Scholar
- Enns CK, Goldman JD, Cook A: Trends in Food and Nutrient Intakes by Adults: NFCS 1977-78, CSFII 1989-91, and CSFII 1994-95. Family Economics and Nutrition Review. 1997, 10: 2-15.Google Scholar
- Kennedy ET, Bowman SA, Powell R: Dietary-fat intake in the US population. J Am Coll Nutr. 1999, 18 (3): 207-212.Google Scholar
- Boden G, Sargrad K, Homko C, Mozzoli M, Stein TP: Effect of a low-carbohydrate diet on appetite, blood glucose levels, and insulin resistance in obese patients with type 2 diabetes. Ann Intern Med. 2005, 142 (6): 403-411.Google Scholar
- Larosa JC, Fry AG, Muesing R, Rosing DR: Effects of high-protein, low-carbohydrate dieting on plasma lipoproteins and body weight. J Am Diet Assoc. 1980, 77 (3): 264-270.Google Scholar
- Miller BV, Bertino J, Reed TG, Burrington C, Davidson LK, Green A, Gartung A, Nafziger A: An Evaluation of the Atkins' Diet. Metabolic Syndrome and Related Disorders. 2003, 1: 299-309. 10.1089/1540419031361426.Google Scholar
- Bray GA: The epidemic of obesity and changes in food intake: the Fluoride Hypothesis. Physiol Behav. 2004, 82 (1): 115-121. 10.1016/j.physbeh.2004.04.033.Google Scholar
- Martin WF, Armstrong LE, Rodriguez NR: Dietary Protein Intake and Renal Function. Nutr Metab (Lond). 2005, 2 (1): 25-10.1186/1743-7075-2-25.Google Scholar
- Van der Auwera I, Wera S, Van Leuven F, Henderson ST: A ketogenic diet reduces amyloid beta 40 and 42 in a mouse model of Alzheimer's disease. Nutr Metab (Lond). 2005Google Scholar
- Veech RL: The therapeutic implications of ketone bodies: the effects of ketone bodies in pathological conditions: ketosis, ketogenic diet, redox states, insulin resistance, and mitochondrial metabolism. Prostaglandins Leukot Essent Fatty Acids. 2004, 70 (3): 309-319. 10.1016/j.plefa.2003.09.007.Google Scholar
- Veech RL, Chance B, Kashiwaya Y, Lardy HA, Cahill GFJ: Ketone bodies, potential therapeutic uses. IUBMB Life. 2001, 51 (4): 241-247.Google Scholar
- Brand-Miller JC: Glycemic index in relation to coronary disease. Asia Pac J Clin Nutr. 2004, 13 (Suppl): S3-Google Scholar
- Brand-Miller JC: Postprandial glycemia, glycemic index, and the prevention of type 2 diabetes. Am J Clin Nutr. 2004, 80 (2): 243-244.Google Scholar
- Atkins RC: Dr. Atkins' New Diet Revolution. 2002, New York , Avon BooksGoogle Scholar
- Agatston A: The South Beach Diet. 2003, New York , Random HouseGoogle Scholar
- Eades MR, Eades MD: Protein Power. 1996, New York , Bantam BooksGoogle Scholar
- Hu FB, Manson JE, Willett WC: Types of dietary fat and risk of coronary heart disease: a critical review. J Am Coll Nutr. 2001, 20 (1): 5-19.Google Scholar
- Hu FB, Stampfer MJ, Manson JE, Rimm E, Colditz GA, Rosner BA, Hennekens CH, Willett WC: Dietary fat intake and the risk of coronary heart disease in women. N Engl J Med. 1997, 337 (21): 1491-1499. 10.1056/NEJM199711203372102.Google Scholar
- Keys A: Coronary heart disease in seven countries. 1970, 41 (Suppl): 1-211.Google Scholar
- Feinman RD, Fine EJ: Thermodynamics and Metabolic Advantage of Weight Loss Diets. Metabolic Syndrome and Related Disorders. 2003, 1: 209-219. 10.1089/154041903322716688.Google Scholar
- Volek JS, Westman EC: Very-low-carbohydrate weight-loss diets revisited. Cleve Clin J Med. 2002, 69 (11): 849, 853, 856-8 passim.Google Scholar
- Westman EC, Mavropoulos J, Yancy WS, Volek JS: A Review of Low-carbohydrate Ketogenic Diets. Curr Atheroscler Rep. 2003, 5 (6): 476-483.Google Scholar
- Sharman MJ, Kraemer WJ, Love DM, Avery NG, Gomez AL, Scheett TP, Volek JS: A ketogenic diet favorably affects serum biomarkers for cardiovascular disease in normal-weight men. J Nutr. 2002, 132 (7): 1879-1885.Google Scholar
- Volek JS, Sharman MJ, Gomez AL, Scheett TP, Kraemer WJ: An Isoenergetic Very Low-Carbohydrate Diet Is Associated With Improved Serum High-Density Lipoprotein Cholesterol (HDL-C), Total Cholesterol to HDL-C Ratio, Triacylglycerols, and Postprandial Lipemic Responses Compared to a Low-Fat Diet in Normal Weight, Normolipidemic Women. J Nutr. 2003, 133 (9): 2756-2761.Google Scholar
- Allick G, Bisschop PH, Ackermans MT, Endert E, Meijer AJ, Kuipers F, Sauerwein HP, Romijn JA: A low-carbohydrate/high-fat diet improves glucoregulation in type 2 diabetes mellitus by reducing postabsorptive glycogenolysis. J Clin Endocrinol Metab. 2004, 89 (12): 6193-6197. 10.1210/jc.2004-1041.Google Scholar
- Foster GD, Wyatt HR, Hill JO, McGuckin BG, Brill C, Mohammed BS, Szapary PO, Rader DJ, Edman JS, Klein S: A randomized trial of a low-carbohydrate diet for obesity. N Engl J Med. 2003, 348 (21): 2082-2090. 10.1056/NEJMoa022207.Google Scholar
- Samaha FF, Iqbal N, Seshadri P, Chicano KL, Daily DA, McGrory J, Williams T, Williams M, Gracely EJ, Stern L: A low-carbohydrate as compared with a low-fat diet in severe obesity. N Engl J Med. 2003, 348 (21): 2074-2081. 10.1056/NEJMoa022637.Google Scholar
- Feinman RD, Fine EJ: "A Calorie is a calorie" violates the second law of thermodynamics. Nutrition Journal. 2004, 3 (9):
- Feinman RD, Fine EJ: Whatever happened to the second law of thermodynamics?. Am J Clin Nutr. 2004, 80 (5): 1445-6; author reply 1446.Google Scholar
- Fine EJ, Feinman RD: Thermodynamics of weight loss diets. Nutr Metab (Lond). 2004, 1 (1): 15-10.1186/1743-7075-1-15.Google Scholar
- Bray GA, Champagne CM: Beyond energy balance: there is more to obesity than kilocalories. J Am Diet Assoc. 2005, 105 (5 Suppl 1): S17-23. 10.1016/j.jada.2005.02.018.Google Scholar
- Cornier MA, Donahoo WT, Pereira R, Gurevich I, Westergren R, Enerback S, Eckel PJ, Goalstone ML, Hill JO, Eckel RH, Draznin B: Insulin sensitivity determines the effectiveness of dietary macronutrient composition on weight loss in obese women. Obes Res. 2005, 13 (4): 703-709.Google Scholar
- Golay A, Eigenheer C, Morel Y, Kujawski P, Lehmann T, de Tonnac N: Weight-loss with low or high carbohydrate diet?. Int J Obes Relat Metab Disord. 1996, 20 (12): 1067-1072.Google Scholar
- Poe EA: The Purloined Letter. http://xroadsvirginiaedu/~HYPER/POE/purloinehtml. 1845Google Scholar
- Reaven GM: Effect of dietary carbohydrate on the metabolism of patients with non-insulin dependent diabetes mellitus. Nutr Rev. 1986, 44 (2): 65-73.Google Scholar
- Gannon MC, Nuttall FQ, Saeed A, Jordan K, Hoover H: An increase in dietary protein improves the blood glucose response in persons with type 2 diabetes. Am J Clin Nutr. 2003, 78 (4): 734-741.Google Scholar
- Nuttall FQ, Gannon MC: Metabolic response of people with type 2 diabetes to a high protein diet. Nutr Metab (Lond). 2004, 1 (1): 6-10.1186/1743-7075-1-6.Google Scholar
- Gannon MC, Nuttall FQ: Effect of a high-protein, low-carbohydrate diet on blood glucose control in people with type 2 diabetes. Diabetes. 2004, 53 (9): 2375-2382.Google Scholar
- Ludwig DS, Jenkins DJ: Carbohydrates and the postprandial state: have our cake and eat it too?. Am J Clin Nutr. 2004, 80 (4): 797-798.Google Scholar
- McAuley KA, Hopkins CM, Smith KJ, McLay RT, Williams SM, Taylor RW, Mann JI: Comparison of high-fat and high-protein diets with a high-carbohydrate diet in insulin-resistant obese women. Diabetologia. 2005, 48 (1): 8-16. 10.1007/s00125-004-1603-4.Google Scholar
- Feinman R: When is a high fat diet not a high fat diet?. Nutrition & Metabolism. 2005, 2 (27):
- Garg A, Bantle JP, Henry RR, Coulston AM, Griver KA, Raatz SK, Brinkley L, Chen YD, Grundy SM, Huet BA: Effects of varying carbohydrate content of diet in patients with non-insulin-dependent diabetes mellitus. Jama. 1994, 271 (18): 1421-1428. 10.1001/jama.271.18.1421.Google Scholar
- Mensink RP, Zock PL, Kester AD, Katan MB: Effects of dietary fatty acids and carbohydrates on the ratio of serum total to HDL cholesterol and on serum lipids and apolipoproteins: a meta-analysis of 60 controlled trials. Am J Clin Nutr. 2003, 77 (5): 1146-1155.Google Scholar
- Rock CL, Flatt SW, Thomson CA, Stefanick ML, Newman VA, Jones L, Natarajan L, Pierce JP, Chang RJ, Witztum JL: Plasma triacylglycerol and HDL cholesterol concentrations confirm self-reported changes in carbohydrate and fat intakes in women in a diet intervention trial. J Nutr. 2004, 134 (2): 342-347.Google Scholar
- Ginsberg HN, Kris-Etherton P, Dennis B, Elmer PJ, Ershow A, Lefevre M, Pearson T, Roheim P, Ramakrishnan R, Reed R, Stewart K, Stewart P, Phillips K, Anderson N: Effects of reducing dietary saturated fatty acids on plasma lipids and lipoproteins in healthy subjects: the DELTA Study, protocol 1. Arterioscler Thromb Vasc Biol. 1998, 18 (3): 441-449.Google Scholar
- Gordon DJ, Knoke J, Probstfield JL, Superko R, Tyroler HA: High-density lipoprotein cholesterol and coronary heart disease in hypercholesterolemic men: the Lipid Research Clinics Coronary Primary Prevention Trial. Circulation. 1986, 74: 1217-1225.Google Scholar
- Berglund L, Oliver EH, Fontanez N, Holleran S, Matthews K, Roheim PS, Ginsberg HN, Ramakrishnan R, Lefevre M: HDL-subpopulation patterns in response to reductions in dietary total and saturated fat intakes in healthy subjects. Am J Clin Nutr. 1999, 70 (6): 992-1000.Google Scholar
- Volek JS, Sharman MJ: Cardiovascular and hormonal aspects of very-low-carbohydrate ketogenic diets. Obes Res. 2004, 12 Suppl 2: 115S-23S.Google Scholar
- Lamarche B, Tchernof A, Moorjani S, Cantin B, Dagenais GR, Lupien PJ, Despres JP: Small, dense low-density lipoprotein particles as a predictor of the risk of ischemic heart disease in men. Prospective results from the Quebec Cardiovascular Study. Circulation. 1997, 95 (1): 69-75.Google Scholar
- Dreon DM, Fernstrom HA, Miller B, Krauss RM: Low-density lipoprotein subclass patterns and lipoprotein response to a reduced-fat diet in men. Faseb J. 1994, 8 (1): 121-126.Google Scholar
- Krauss RM: Dietary and Genetic Probes of Atherogenic Dyslipidemia. Arterioscler Thromb Vasc Biol. 2005Google Scholar
- Krauss RM: Atherogenic lipoprotein phenotype and diet-gene interactions. J Nutr. 2001, 131 (2): 340S-3S.Google Scholar
- Sharman MJ, Gomez AL, Kraemer WJ, Volek JS: Very low-carbohydrate and low-fat diets affect fasting lipids and postprandial lipemia differently in overweight men. J Nutr. 2004, 134 (4): 880-885.Google Scholar
- Aude YW, Agatston AS, Lopez-Jimenez F, Lieberman EH, Marie A, Hansen M, Rojas G, Lamas GA, Hennekens CH: The national cholesterol education program diet vs a diet lower in carbohydrates and higher in protein and monounsaturated fat: a randomized trial. Arch Intern Med. 2004, 164 (19): 2141-2146. 10.1001/archinte.164.19.2141.Google Scholar
- Hays JH, DiSabatino A, Gorman RT, Vincent S, Stillabower ME: Effect of a high saturated fat and no-starch diet on serum lipid subfractions in patients with documented atherosclerotic cardiovascular disease. Mayo Clin Proc. 2003, 78 (11): 1331-1336.Google Scholar
- Seshadri P, Iqbal N, Stern L, Williams M, Chicano KL, Daily DA, McGrory J, Gracely EJ, Rader DJ, Samaha FF: A randomized study comparing the effects of a low-carbohydrate diet and a conventional diet on lipoprotein subfractions and C-reactive protein levels in patients with severe obesity. Am J Med. 2004, 117 (6): 398-405. 10.1016/j.amjmed.2004.04.009.Google Scholar
- Dreon DM, Fernstrom HA, Williams PT, Krauss RM: A very low-fat diet is not associated with improved lipoprotein profiles in men with a predominance of large, low-density lipoproteins. Am J Clin Nutr. 1999, 69 (3): 411-418.Google Scholar
- Ginsberg HN, Zhang YL, Hernandez-Ono A: Regulation of plasma triglycerides in insulin resistance and diabetes. Arch Med Res. 2005, 36 (3): 232-240. 10.1016/j.arcmed.2005.01.005.Google Scholar
- Boden G, Shulman GI: Free fatty acids in obesity and type 2 diabetes: defining their role in the development of insulin resistance and beta-cell dysfunction. Eur J Clin Invest. 2002, 32 Suppl 3: 14-23. 10.1046/j.1365-2362.32.s3.3.x.Google Scholar
- Zammit VA: Insulin stimulation of hepatic triacylglycerol secretion in the insulin-replete state: implications for the etiology of peripheral insulin resistance. Ann N Y Acad Sci. 2002, 967: 52-65.Google Scholar
- Klein S, Burke LE, Bray GA, Blair S, Allison DB, Pi-Sunyer X, Hong Y, Eckel RH: Clinical implications of obesity with specific focus on cardiovascular disease: a statement for professionals from the American Heart Association Council on Nutrition, Physical Activity, and Metabolism: endorsed by the American College of Cardiology Foundation. Circulation. 2004, 110 (18): 2952-2967. 10.1161/01.CIR.0000145546.97738.1E.Google Scholar
- Mozaffarian D, Rimm EB, Herrington DM: Dietary fats, carbohydrate, and progression of coronary atherosclerosis in postmenopausal women. Am J Clin Nutr. 2004, 80 (5): 1175-1184.Google Scholar
- Volek JS, Forsythe CE: The case for not restricting saturated fat on a low carbohydrate diet. Nutr Metab (Lond). 2005, 2: 21-10.1186/1743-7075-2-21.Google Scholar
- American Heart Association: No-Fad Diet. A Personal Plan fo Healthy Weight Loss. 2005, New York , Clarkson PotterGoogle Scholar
- Hellerstein MK: Carbohydrate-induced hypertriglyceridemia: modifying factors and implications for cardiovascular risk. Curr Opin Lipidol. 2002, 13 (1): 33-40. 10.1097/00041433-200202000-00006.Google Scholar
- Hudgins LC: Effect of high-carbohydrate feeding on triglyceride and saturated fatty acid synthesis. Proc Soc Exp Biol Med. 2000, 225 (3): 178-183. 10.1046/j.1525-1373.2000.22521.x.Google Scholar
- Hudgins LC, Hellerstein M, Seidman C, Neese R, Diakun J, Hirsch J: Human fatty acid synthesis is stimulated by a eucaloric low fat, high carbohydrate diet. J Clin Invest. 1996, 97 (9): 2081-2091.Google Scholar
- Parks EJ, Hellerstein MK: Carbohydrate-induced hypertriacylglycerolemia: historical perspective and review of biological mechanisms. Am J Clin Nutr. 2000, 71 (2): 412-433.Google Scholar
- Parks EJ, Krauss RM, Christiansen MP, Neese RA, Hellerstein MK: Effects of a low-fat, high-carbohydrate diet on VLDL-triglyceride assembly, production, and clearance. J Clin Invest. 1999, 104 (8): 1087-1096.Google Scholar
- Reaven G: Counterpoint: just being alive is not good enough. Clin Chem. 2005, 51 (8): 1354-1357. 10.1373/clinchem.2005.053587.Google Scholar
- Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, Gordon DJ, Krauss RM, Savage PJ, Smith SCJ, Spertus JA, Costa F: Diagnosis and Management of the Metabolic Syndrome. An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation. 2005Google Scholar
- Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, Gordon DJ, Krauss RM, Savage PJ, Smith SCJ, Spertus JA, Costa F: Diagnosis and Management of the Metabolic Syndrome. An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Executive Summary. Circulation. 2005Google Scholar
- Knopp RH, Retzlaff BM: Saturated fat prevents coronary artery disease? An American paradox. Am J Clin Nutr. 2004, 80 (5): 1102-1103.Google Scholar
- Pogozelski W, Arpaia N, Priore S: The Metabolic Effects of Low-carbohydrate Diets and Incorporation into a Biochemistry Course. Biochemistry and Molecular Biology Education. 2005, 33: 91-100.Google Scholar
- Harris RA, Crabb DW: Chapter 22. Metabolic Interrelationships. Textbook of Biochemistry With Clinical Correlations. Edited by: Devlin TM. 2006, New York , John Wiley & Sons, Inc., SixthGoogle Scholar
- Makowske M, Feinman RD: Nutrition education: a questionnaire for assessment and teaching. Nutr J. 2005, 4 (1): 2-10.1186/1475-2891-4-2.Google Scholar
- Smith C, Marks AD, Lieberman M: Basic Medical Biochemistry: A Clinical Approach. 2005, Philadelphia , Lippincott Williams & Wilkins, 2ndGoogle Scholar
- Rickman F, Mitchell N, Dingman J, Dalen JE: Changes in serum cholesterol during the Stillman diet. Jama. 1974, 228 (1): 54-58. 10.1001/jama.228.1.54.Google Scholar
- Phinney SD, Horton ES, Sims EA, Hanson JS, Danforth EJ, LaGrange BM: Capacity for moderate exercise in obese subjects after adaptation to a hypocaloric, ketogenic diet. J Clin Invest. 1980, 66 (5): 1152-1161.Google Scholar
- Phinney SD, Bistrian BR, Evans WJ, Gervino E, Blackburn GL: The human metabolic response to chronic ketosis without caloric restriction: preservation of submaximal exercise capability with reduced carbohydrate oxidation. Metabolism. 1983, 32 (8): 769-776. 10.1016/0026-0495(83)90106-3.Google Scholar
- Newbold HL: Reducing the serum cholesterol level with a diet high in animal fat. South Med J. 1988, 81 (1): 61-63.Google Scholar
- Volek JS, Gomez AL, Kraemer WJ: Fasting lipoprotein and postprandial triacylglycerol responses to a low-carbohydrate diet supplemented with n-3 fatty acids. J Am Coll Nutr. 2000, 19 (3): 383-391.Google Scholar
- Meckling KA, Gauthier M, Grubb R, Sanford J: Effects of a hypocaloric, low-carbohydrate diet on weight loss, blood lipids, blood pressure, glucose tolerance, and body composition in free-living overweight women. Can J Physiol Pharmacol. 2002, 80 (11): 1095-1105. 10.1139/y02-140.Google Scholar
- Westman EC, Yancy WS, Edman JS, Tomlin KF, Perkins CE: Effect of 6-month adherence to a very low carbohydrate diet program. Am J Med. 2002, 113 (1): 30-36. 10.1016/S0002-9343(02)01129-4.Google Scholar
- Dashti HM, Bo-Abbas YY, Asfar SK, Mathew TC, Hussein T, Behbahani A, Khoursheed MA, Al-Sayer HM, Al-Zaid NS: Ketogenic diet modifies the risk factors of heart disease in obese patients. Nutrition. 2003, 19 (10): 901-902. 10.1016/S0899-9007(03)00161-8.Google Scholar
- Dashti HM, Mathew TC, Hussein T, Asfar SK, Behbahani A, Khoursheed MA, Al-Sayer HM, Bo-Abbas YY, Al-Zaid NS: Long-term effects of a ketogenic diet in obese patients. Exp Clin Cardiol. 2004, 9 (3): 200-205.Google Scholar
- Dansinger ML, Gleason JA, Griffith JL, Selker HP, Schaefer EJ: Comparison of the Atkins, Ornish, Weight Watchers, and Zone diets for weight loss and heart disease risk reduction: a randomized trial. Jama. 2005, 293 (1): 43-53. 10.1001/jama.293.1.43.Google Scholar
- Brehm BJ, Seeley RJ, Daniels SR, D'Alessio DA: A randomized trial comparing a very low carbohydrate diet and a calorie-restricted low fat diet on body weight and cardiovascular risk factors in healthy women. J Clin Endocrinol Metab. 2003, 88 (4): 1617-1623. 10.1210/jc.2002-021480.Google Scholar
- Volek JS, Sharman MJ, Gomez AL, Judelson DA, Rubin MR, Watson G, Sokmen B, Silvestre R, French DN, Kraemer WJ: Comparison of energy-restricted very low-carbohydrate and low-fat diets on weight loss and body composition in overweight men and women. Nutr Metab (Lond). 2004, 1 (1): 13-10.1186/1743-7075-1-13.Google Scholar
- Brehm BJ, Spang SE, Lattin BL, Seeley RJ, Daniels SR, D'Alessio DA: The role of energy expenditure in the differential weight loss in obese women on low-fat and low-carbohydrate diets. J Clin Endocrinol Metab. 2004Google Scholar
- Meckling KA, O'Sullivan C, Saari D: Comparison of a low-fat diet to a low-carbohydrate diet on weight loss, body composition, and risk factors for diabetes and cardiovascular disease in free-living, overweight men and women. J Clin Endocrinol Metab. 2004, 89 (6): 2717-2723. 10.1210/jc.2003-031606.Google Scholar
- Stern L, Iqbal N, Seshadri P, Chicano KL, Daily DA, McGrory J, Williams M, Gracely EJ, Samaha FF: The effects of low-carbohydrate versus conventional weight loss diets in severely obese adults: one-year follow-up of a randomized trial. Ann Intern Med. 2004, 140 (10): 778-785.Google Scholar
- Yancy WSJ, Olsen MK, Guyton JR, Bakst RP, Westman EC: A low-carbohydrate, ketogenic diet versus a low-fat diet to treat obesity and hyperlipidemia: a randomized, controlled trial. Ann Intern Med. 2004, 140 (10): 769-777.Google Scholar
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