Cardiovascular disease (CVD) is the leading cause of death worldwide 1. Because of its prevalence and life-threatening nature, and because it appears that a keto diet is likely to reverse it, we consider it one of the most important conditions to discuss here.
Unfortunately, there is much confusion and misinformation about the impact of nutrition on CVD among scientists and non-scientists alike. Not only does a high fat, keto diet not worsen heart disease risk — as would commonly be assumed — it actually improves it. This confusion about dietary fat is probably the reason that we do not yet have clinical trials directly testing the effects of ketogenic diets on CVD outcomes. However, we already have many trials of ketogenic diets that measured known CVD risk factors, especially cholesterol profiles. It turns out that these trials show a powerful heart disease risk reduction in those following a ketogenic diet. It is powerful both in absolute terms, and in comparison with low-fat diets, which tend to improve some weakly predictive factors while worsening stronger predictors. As such, a high-fat ketogenic diet is currently the best known non-drug intervention for heart disease, as defined by mainstream measures of risk. It is arguably better than drug interventions, too. In brief: •Total cholesterol and LDL cholesterol are only weak predictors of CVD. •Triglycerides, HDL, LDL particle size, and the HDL-to-triglyceride ratio are much stronger predictors of CVD. •Keto diets improve triglyceride levels, HDL, and LDL particle size — precisely those measures that strongly indicate risk. Total cholesterol and LDL cholesterol are only weakly associated with CVD The connection between blood cholesterol levels and the development of heart disease began to be explored in the last century. Over the last several decades, our understanding of the predictive power of various blood lipids has gone through many refinements as our ability to measure finer and finer detail has advanced. In the early years, it appeared that high levels of total cholesterol carried some risk of heart disease in many cases. However, it is now well established that total cholesterol by itself is a weak predictor 2, 3, 4. The reason is quite simple. The different subtypes of cholesterol work together in an intricately balanced system. There is a wide range of total cholesterol levels that are perfectly healthy, so long as the proportions of the subtypes are healthy ones. By the same token, a given level of total cholesterol, even if it is perfectly normal, could be pathological when examined by subtype. Strong evidence from recent decades suggests that the best known blood lipid measures for predicting future risk of CVD are HDL, triglycerides, and related ratios (see below). Similarly, while LDL cholesterol is probably important, it appears that it does not have good predictive power when looking at its magnitude alone 5, 6, 7, 8. One reason for this is that like total cholesterol, LDL is not uniform. Just as we distinguish between HDL and LDL, the so-called “good” and “bad” cholesterol, LDL itself is now known to have two important subtypes with opposite risk implications. Having more large, light LDL particles (also called Pattern A), does not indicate high CVD risk, but having more small, dense particles (Pattern B) does 9, 10, 11, 12, 13. Therefore high LDL by itself is not necessarily indicative of CVD. Low HDL cholesterol is strongly associated with CVD Having high blood levels of HDL is now widely recognized as predicting lower levels of heart disease. The proportion of total cholesterol that is HDL cholesterol is a particularly strong predictor. In 2007, a meta-analysis was published in the Lancet that examined information from 61 prospective observational studies, consisting of almost 900,000 adults. Information about HDL was available for about 150,000 of them, among whom there were 5000 vascular deaths. According to the authors, "the ratio of total to HDL cholesterol is a substantially more informative predictor of IHD mortality than are total cholesterol, HDL cholesterol, or non-HDL cholesterol." 14 This is consistent with many other studies, for example this very recent analysis from the COURAGE trial 15. High triglycerides are strongly associated with CVD There has been drawn out controversy in the medical community as to the relationship of triglyceride levels to CVD. There are two parts to the controversy: whether or not triglycerides are an independent predictor of CVD, and whether or not triglycerides play a causative role in CVD. In both cases, however, it doesn't matter in which way the controversy is resolved! Whether or not triglycerides independently predict CVD (and there is at least some evidence that they do), and whether or not they cause CVD, there is no controversy about whether they predict CVD. The association between triglyceride levels and CVD still holds and is strongly predictive 16, 17, 18. In fact it is so predictive that those who argue that triglyceride levels are not an independent risk factor, call it instead a “biomarker” for CVD 19. In other words, seeing high triglycerides is tantamount to seeing the progression of heart disease. HDL-to-Triglycerides Ratio: compounding evidence Triglycerides and HDL levels statistically interact. That means it is a mistake to treat one as redundant with respect to the other. If you do, you will miss the fact that the effect of one on your outcome of interest changes depending on the value of the other. Despite the fact that most heart disease researchers who study risk factors have not used methods tuned to find interactions between triglycerides and HDL, many studies have at least measured both. This has allowed others to do the appropriate analysis. When triglycerides and HDL have been examined with respect to each other, that is, when the effect of triglycerides is measured under the condition of low HDL, or when the effect of HDL is measured under the condition of high triglycerides, this combination of factors turns out to be even more indicative of CVD 20, 21, 22, 23. One of the most interesting aspects of this finding from our perspective, is that the ratio of triglyceride levels to HDL is considered to be a surrogate marker of insulin resistance (See The Ketogenic Diet as a Treatment for Metabolic Syndrome.) In other words, the best lipid predictors of CVD are also those that indicate insulin resistance. Ketogenic Diets improve risk factors for CVD There is now ample evidence that a low carbohydrate, ketogenic diet improves lipid profiles, particularly with respect to the risk factors outlined above: triglycerides, HDL, and their ratio 24, 25, 26, 27, 28, 29, 30, 31. Although a ketogenic diet typically raises LDL levels, which has been traditionally seen as a risk factor, it has also been shown to improve LDL particle size. In other words, although the absolute amount of LDL goes up, it is the "good" LDL that goes up, whereas the "bad" LDL goes down 31, 32. This is hardly surprising, since LDL particle size is also strongly predicted by triglycerides 33, 34, 35. Although there have not yet been intervention studies testing the effect of a ketogenic diet on the rate of actual CVD incidents (e.g. heart attacks), the evidence about lipid profiles is strong enough to make ketogenic diets more likely to reduce heart disease than any other known intervention. Summary: •Current medical practice uses blood lipid measurements to assess the risk of heart disease. •Despite the continuing tradition of measuring total cholesterol and LDL, we have known for decades that triglycerides, HDL, and the ratio of the two, are much better predictors of heart disease. LDL particle size is also considered strongly predictive. •A ketogenic diet has a very favourable impact on these risk factors, and thus should be considered the diet of choice for those at risk of CVD. In their 2011 paper, "Low-carbohydrate diet review: shifting the paradigm", Hite et al. display the following graph (VLCKD stands for Very Low Carbohydrate Ketogenic Diet, and LFD for Low Fat Diet) 36 based on data from 31: It makes an excellent visualization of the factors at stake, and how powerful a ketogenic diet is. It also shows quite clearly that not only is restricting carbohydrate more effective for this purpose than a low fat diet, but that a low fat diet is detrimental for some important risk factors — apolipoprotein ratios, LDL particle size, and HDL — but a low carb diet is not. The ketogenic diet resulted in a significant improvement in every measure. References: 1 Evidence type: observational World Health Organization Fact sheet N°317: Cardiovascular diseases (CVDs) September 2011 •CVDs are the number one cause of death globally: more people die annually from CVDs than from any other cause. •An estimated 17.3 million people died from CVDs in 2008, representing 30% of all global deaths. Of these deaths, an estimated 7.3 million were due to coronary heart disease and 6.2 million were due to stroke. •Low- and middle-income countries are disproportionally affected: over 80% of CVD deaths take place in low- and middle-income countries and occur almost equally in men and women. •By 2030, almost 23.6 million people will die from CVDs, mainly from heart disease and stroke. These are projected to remain the single leading causes of death. 2 Evidence type: observational Role of lipid and lipoprotein profiles in risk assessment and therapy. Ballantyne CM, Hoogeveen RC. Am Heart J. 2003 Aug;146(2):227-33. Despite a strong and consistent association within populations, elevated TC [(total cholesterol)] alone is not a useful test to discriminate between individuals who will have CHD [(coronary heart disease)] events and those who will not. 3 Evidence type: observational Relation of serum lipoprotein cholesterol levels to presence and severity of angiographic coronary artery disease. Philip A. Romm, MD, Curtis E. Green, MD, Kathleen Reagan, MD, Charles E. Rackley, MD. The American Journal of Cardiology Volume 67, Issue 6, 1 March 1991, Pages 479–483 Most CAD [(coronary artery disease)] occurs in persons who have only mild or moderate elevations in cholesterol levels. Total cholesterol level alone is a poor predictor of CAD, particularly in older patients in whom the major lipid risk factor is the HDL cholesterol level. 4 Evidence type: observational Lipids, risk factors and ischaemic heart disease. Atherosclerosis. 1996 Jul;124 Suppl:S1-9. Castelli WP. Those individuals who had TC [(total cholesterol)] levels of 150-300 mg/dl (3.9-7.8 mmol/1) fell into the overlapping area (Fig. 1), demonstrating that 90% of the TC levels measured were useless (by themselves) for predicting risk of CHD [(coronary heart disease)] in a general population. Indeed, twice as many individuals who had a lifetime TC level of less than 200 mg/dl (5.2 mmol/1) had CHD compared with those who had a TC level greater than 300 mg/dl (7.8 mmol/l) (Fig. 1). 5 Evidence type: observational Range of Serum Cholesterol Values in the Population Developing Coronary Artery Disease. William B. Kannel, MD, MPH. The American Journal of Cardiology, Volume 76, Issue 9, Supplement 1, 28 September 1995, Pages 69C–77C The ranges of serum cholesterol and LDL cholesterol levels varied widely both in the general population and in patients who had already manifested CAD (Figures 1 and 2). Because of the extensive overlap between levels, it was impossible to differentiate the patients with CAD from the control subjects. 6 Evidence type: observational Lipoprotein cholesterol, apolipoprotein A-I and B and lipoprotein (a) abnormalities in men with premature coronary artery disease. Jacques Genest Jr., MD,FACC, Judith R. McNamara, MT, Jose M. Ordovas, PhD, Jennifer L. Jenner, BSc, Steven R. Silberman, PhD, Keaven M. Anderson, PhD, Peter W.F. Wilson, MD, Deeb N. Salem, MD, FACC, Ernst J. Schaefer, MD. Journal of the American College of Cardiology Volume 19, Issue 4, 15 March 1992, Pages 792–802. Our data suggest that total and LDL cholesterol may not be the best discriminants for the presence of coronary artery disease despite the strong association between elevated cholesterol and the development of coronary artery disease in cross-sectional population studies and prospective epidemiologic studies. 7 Evidence type: observational Apolipoprotein B and apolipoprotein A-I: risk indicators of coronary heart disease and targets for lipid-modifying therapy. Walldius, G. and Jungner, I. (2004), Journal of Internal Medicine, 255: 188–205. doi: 10.1046/j.1365-2796.2003.01276.x (Emphasis ours.) For over three decades it has been recognized that a high level of total blood cholesterol, particularly in the form of LDL cholesterol (LDL-C), is a major risk factor for developing coronary heart disease (CHD) [1–4]. However, as more recent research has expanded our understanding of lipoprotein function and metabolism, it has become apparent that LDL-C is not the only lipoprotein species involved in atherogenesis. A considerable proportion of patients with atherosclerotic disease have levels of LDL-C and total cholesterol (TC) within the recommended range [5, 6], and some patients who achieve significant LDL-C reduction with lipid-lowering therapy still develop CHD [7]. Other lipid parameters are also associated with elevated cardiovascular risk, and it has been suggested that LDL-C and TC may not be the best discriminants for the presence of coronary artery disease (CAD) [5]. 8 Evidence type: observational Plasma Lipoprotein Levels as Predictors of Cardiovascular Death in Women. Katherine Miller Bass, MD, MHS; Craig J. Newschaffer, MS; Michael J. Klag, MD, MPH; Trudy L. Bush, PhD, MHS. Arch Intern Med. 1993;153(19):2209-2216. Using a sample of 1405 women aged 50 to 69 years from the Lipid Research Clinics' Follow-up Study, age-adjusted CVD death rates and summary relative risk (RR) estimates by categories of lipid and lipoprotein levels were calculated. Multivariate analysis was performed to provide RR estimates adjusted for other CVD risk factors.RESULTS: Average follow-up was 14 years. High-density lipoprotein and triglyceride levels were strong predictors of CVD death in age-adjusted and multivariate analyses. Low-density lipoprotein and total cholesterol levels were poorer predictors of CVD mortality. After adjustment for other CVD risk factors, HDL levels less than 1.30 mmol/L (50 mg/dL) were strongly associated with cardiovascular mortality (RR = 1.74; 95% confidence interval [CI], 1.10 to 2.75). Triglyceride levels were associated with increased CVD mortality at levels of 2.25 to 4.49 mmol/L (200 to 399 mg/dL) (RR = 1.65; 95% CI, 0.99 to 2.77) and 4.50 mmol/L (400 mg/dL) or greater (RR = 3.44; 95% CI, 1.65 to 7.20). At total cholesterol levels of 5.20 mmol/L (200 mg/dL) or greater and at all levels of LDL and triglycerides, women with HDL levels of less than 1.30 mmol/L (< 50 mg/dL) had CVD death rates that were higher than those of women with HDL levels of 1.30 mmol/L (50 mg/dL) or greater. 9 Evidence type: plausible mechanism and observational review Particle size: the key to the atherogenic lipoprotein? Rajman I, Maxwell S, Cramb R, Kendall M. QJM. 1994 Dec;87(12):709-20. Using different analytical methods, up to 12 low-density lipoprotein (LDL) subfractions can be separated. LDL particle size decreases with increasing density. Smaller, denser LDL particles seem more atherogenic than the larger, lighter particles, based on the experimental findings that smaller LDL particles are more susceptible for oxidation in vitro, have lower binding affinity for the LDL receptors and lower catabolic rate, have a higher concentration of polyunsaturated fatty acids, and potentially interact more easily with proteoglycans of the arterial wall. Clinical studies have shown that a smaller LDL subfraction profile is associated with an increased risk of heart disease, even when total cholesterol level is only slightly raised. There is a strong inverse association between LDL particle size and triglyceride concentrations. Although LDL particle size is genetically determined, its phenotypic expression may also be affected by environmental factors such as drugs, diet, obesity, exercise or disease. Factors that shift the LDL subfractions profile towards larger particles may reduce the risk of heart disease. 10 Evidence type: nested case-control study Association of Small Low-Density Lipoprotein Particles With the Incidence of Coronary Artery Disease in Men and Women. Christopher D. Gardner, PhD; Stephen P. Fortmann, MD; Ronald M. Krauss, MD JAMA. 1996;276(11):875-881. doi:10.1001/jama.1996.03540110029028. Incident CAD cases were identified through FCP surveillance between 1979 and 1992. Controls were matched by sex, 5-year age groups, survey time point, ethnicity, and FCP treatment condition. The sample included 124 matched pairs: 90 pairs of men and 34 pairs of women.... LDL size was smaller among CAD cases than controls (mean ±SD) (26.17±1.00nm vs 26.68±0.90nm;P<.001).The association was graded across control quintiles of LDL size. The significant case-control difference in LDL size was independent of levels of high-density lipoprotein cholesterol (HDL-C), non—HDL cholesterol (non-HDL-C), triglyceride, smoking, systolic blood pressure, and body mass index, but was not significant after adjusting for the ratio of total cholesterol (TC) to HDL-C (TC:HDL-C). Among all the physiological risk factors, LDL size was the best differentiator of CAD status in conditional logistic regression. However, when added to the physiological parameters above, the TC:HDL-C ratio was found to be a stronger independent predictor of CAD status. 11 Evidence type: review The small, dense LDL phenotype and the risk of coronary heart disease: epidemiology, patho-physiology and therapeutic aspects. Lamarche B, Lemieux I, Després JP. Diabetes Metab. 1999 Sep;25(3):199-211. More than decade ago, several cross-sectional studies have reported differences in LDL particle size, density and composition between coronary heart disease (CHD) patients and healthy controls. Three recent prospective, nested case-control studies have since confirmed that the presence of small, dense LDL particles was associated with more than a three-fold increase in the risk of CHD. The small, dense LDL phenotype rarely occurs as an isolated disorder. It is most frequently accompanied by hypertriglyceridemia, reduced HDL cholesterol levels, abdominal obesity, insulin resistance and by a series of other metabolic alterations predictive of an impaired endothelial function and increased susceptibility to thrombosis. 28 Evidence type: prospective A prospective, population-based study of low density lipoprotein particle size as a risk factor for ischemic heart disease in men. Lamarche B, St-Pierre AC, Ruel IL, Cantin B, Dagenais GR, Després JP. Can J Cardiol. 2001 Aug;17(8):859-65. Analyses were conducted in a cohort of 2057 men who were all initially free of IHD, and who were followed up over a five-year period, during which 108 first IHD events (myocardial infarction, angina or coronary death) were recorded. LDL particle size was measured by nondenaturing gradient gel electrophoresis.RESULTS: Cox proportional hazards analysis indicated that the relationship between LDL particle size and the risk of future IHD events was not linear. Men with an LDL particle size less than 256.0 A had a significant 2.2-fold increase in the five-year rate of IHD (P<0.001) compared with men having an LDL particle size greater than 256.0 A. Multivariate and subgroup analyses indicated that small, dense LDL particles predicted the rate of IHD independent of LDL cholesterol, triglycerides, high density lipoprotein (HDL) cholesterol, apolipoprotein B and the total cholesterol to HDL cholesterol ratio. Finally, the magnitude of the increase in IHD risk attributed to lipid risk factors was modulated to a significant extent by variations in LDL particle size. 13 Evidence type: review Small, dense low-density-lipoproteins and the metabolic syndrome. Rizzo M, Berneis K. Diabetes Metab Res Rev. 2007 Jan;23(1):14-20. Small, dense low-density-lipoproteins (LDL) are associated with increased risk for cardiovascular diseases and diabetes mellitus and a reduction in LDL size has been reported in patients with coronary and non-coronary forms of atherosclerosis. LDL size has been accepted as an important predictor of cardiovascular events and progression of coronary artery disease as well as an emerging cardiovascular risk factor by the National Cholesterol Education Program Adult Treatment Panel III. Small, dense LDL, with elevated triglyceride levels and low HDL-cholesterol concentrations, constitute the 'atherogenic lipoprotein phenotype (ALP)', a form of atherogenic dyslipidemia that is a feature of type 2 diabetes and the metabolic syndrome. 14 Evidence type: meta-analysis of prospective studies Blood cholesterol and vascular mortality by age, sex, and blood pressure: a meta-analysis of individual data from 61 prospective studies with 55,000 vascular deaths. Prospective Studies Collaboration, Lewington S, Whitlock G, Clarke R, Sherliker P, Emberson J, Halsey J, Qizilbash N, Peto R, Collins R. Lancet. 2007 Dec 1;370(9602):1829-39. Of various simple indices involving HDL cholesterol, the ratio total/HDL cholesterol was the strongest predictor of IHD mortality (40% more informative than non-HDL cholesterol and more than twice as informative as total cholesterol). Total cholesterol was weakly positively related to ischaemic and total stroke mortality in early middle age (40-59 years), but this finding could be largely or wholly accounted for by the association of cholesterol with blood pressure. Moreover, a positive relation was seen only in middle age and only in those with below-average blood pressure; at older ages (70-89 years) and, particularly, for those with systolic blood pressure over about 145 mm Hg, total cholesterol was negatively related to haemorrhagic and total stroke mortality. 15 Evidence type: post-hoc analysis Low Levels of High Density Lipoprotein Cholesterol and Increased Risk of Cardiovascular Events in Stable Ischemic Heart Disease Patients: A Post Hoc Analysis from the COURAGE Trial. Acharjee S, Boden WE, Hartigan PM, Teo KK, Maron DJ, Sedlis SP, Kostuk W, Spertus JA, Dada M, Chaitman BR, Mancini GB, Weintraub WS. J Am Coll Cardiol. 2013 Aug 8. pii: S0735-1097(13)03082-9. doi: 10.1016/j.jacc.2013.07.051. [Epub ahead of print] Abstract:OBJECTIVES: The aim of this study was to assess the independent effect of high-density lipoprotein cholesterol (HDL-C) level on cardiovascular risk in patients with stable ischemic heart disease (SIHD) while on optimal medical therapy (OMT). BACKGROUND: While low HDL-C level is a powerful and independent predictor of cardiovascular risk, recent data suggest that this may not apply when low-density lipoprotein cholesterol (LDL-C) is reduced to optimal levels using intensive statin therapy. METHODS: We performed a post hoc analysis in 2,193 men and women with stable ischemic heart disease (SIHD) from the COURAGE trial. The primary outcome measure was the composite of death from any cause or nonfatal myocardial infarction (MI). The independent association between HDL-C levels measured after 6 months on optimal medical therapy (OMT) and the rate of cardiovascular events after 4 years was assessed. Similar analyses were performed separately in subjects with LDL-C levels below 70 mg/dL (1.8 mmol/L). RESULTS: In the overall population, the rate of death/MI was 33% lower in the highest HDL-C quartile as compared with the lowest quartile, with quartile of HDL-C being a significant, independent predictor of death/MI (P = 0.05), but with no interaction for LDL-C category (P=0.40). Among subjects with LDL-C levels < 70 mg/dL, those in the highest quintile of HDL-C had a 65% relative risk reduction in death or MI as compared to the lowest quintile, with HDL-C quintile demonstrating a significant, inverse predictive effect (P=0.02). CONCLUSIONS: In this post hoc analysis, patients with SIHD continued to experience incremental cardiovascular risk associated with low HDL-C levels despite OMT during long-term follow-up. This relationship persisted and appeared more prominent even when LDL-C was reduced to optimal levels with intensive dyslipidemic therapy. 16 Evidence type: meta-analysis of prospective studies Plasma triglyceride level is a risk factor for cardiovascular disease independent of high-density lipoprotein cholesterol level: a meta-analysis of population-based prospective studies. Hokanson JE, Austin MA. J Cardiovasc Risk. 1996 Apr;3(2):213-9. Seventeen studies were selected for the analysis based on published reports of population-based, prospective studies, including 46413 men and 10864 women. To insure comparability, only studies reporting the association between fasting triglyceride levels and incident cardiovascular endpoints were included. Using standard meta-analysis calculations, relative risks (RR) and 95% confidence intervals (CI) were calculated and standardized with respect to a 1 mmol/l increase in triglyceride. Multivariable-adjusted RRs were determined for the six studies in men and two studies in women that reported adjustments for HDL cholesterol.RESULTS: For men and women, the univariate RRs for triglyceride were 1.32 (95% Cl 1.26-1.39) and 1.76 (95% Cl 1.50-2.07), respectively, indicating an approximately 30% increased risk in men and a 75% increase in women. Adjustment of HDL cholesterol and other risk factors attenuated these RRs to 1.14 (95% Cl 1.05-1.28) and 1.37 (95% Cl 1.13-1.66), respectively, which were still statistically significant values. CONCLUSION: Based on combined data from prospective studies, triglyceride is a risk factor for cardiovascular disease for both men and women in the general population, independent of HDL cholesterol. These finding demonstrate the necessity for clinical trials to evaluate whether lowering plasma triglyceride decreases the risk of cardiovascular disease. http://www.ncbi.nlm.nih.gov/pubmed/8782637 17 Evidence type: prospective cohort study A prospective study of triglyceride level, low-density lipoprotein particle diameter, and risk of myocardial infarction. Stampfer MJ, Krauss RM, Ma J, Blanche PJ, Holl LG, Sacks FM, Hennekens CH. JAMA. 1996 Sep 18;276(11):882-8. RESULTS: Cases (n=266) had a significantly smaller LDL diameter (mean [SD], 25.6 [0.9] nm) than did controls (n=308) matched on age and smoking (mean [SD], 25.9 [8] nm; P<.001). Cases also had higher median triglyceride levels (1.90 vs 1.49 mmol/L [168 vs 132 mg/dL]; P<.001). The LDL diameter had a high inverse correlation with triglyceride level (r=-0.71), and a high direct correlation with high-density lipoprotein cholesterol (HDL-C) level (r=0.60). We observed a significant multiplicative interaction between triglyceride and total cholesterol (TC) levels (P=.01). After simultaneous adjustment for lipids and a variety of coronary risk factors, LDL particle diameter was no longer a statistically significant risk indicator, with a relative risk (RR) of 1.09 (95% confidence interval [CI], 0.85-1.40) per 0.8-nm decrease. However, triglyceride level remained significant with an RR of 1.40 (95% CI, 1.10-1.77) per 1.13 mmol/L (100-mg/dL) increase. The association between triglyceride level and MI risk appeared linear across the distribution; men in the highest quintile had a risk about 2.5 times that of those in the lowest quintile. The TC level, but not HDL-C level, also remained significant, with an RR of 1.80 (95% CI, 1.44-2.26) per 1.03-mmol/L (40-mg/dL) increase.CONCLUSIONS: These findings indicate that nonfasting triglyceride levels appear to be a strong and independent predictor of future risk of MI, particularly when the total cholesterol level is also elevated. In contrast, LDL particle diameter is associated with risk of MI, but not after adjustment for triglyceride level. Increased triglyceride level, small LDL particle diameter, and decreased HDL-C levels appear to reflect underlying metabolic perturbations with adverse consequences for risk of MI; elevated triglyceride levels may help identify high-risk individuals. 18 Evidence type: prospective study The emergence of triglycerides as a significant independent risk factor in coronary artery disease. Assmann G, Schulte H, Funke H, von Eckardstein A. Eur Heart J. 1998 Oct;19 Suppl M:M8-14. The Prospective Cardiovascular Münster (PROCAM) study involved 4849 middle-aged men who were followed up for 8 years to record the incidence of coronary heart disease (CHD) events according to the risk factors present at study entry. The study showed that fasting levels of triglycerides were an independent risk factor for CHD events, irrespective of serum levels of high density lipoprotein cholesterol (HDL-C) or low density lipoprotein cholesterol (LDL-C). Other independent predictors of CHD included serum levels of LDL-C and HDL-C, age, systolic blood pressure, cigarette smoking, diabetes mellitus, a family history of myocardial infarction and angina pectoris, but did not include total serum cholesterol levels. Individuals with an LDL-C/HDL-C ratio > 5 had a 19.2% chance of experiencing a CHD event in the next 8 years. Furthermore, if an LDL-C/HDL-C ratio > 5 was combined with hypertriglyceridaemia (> or = 2.3 mmol. l-1), the risk of CHD increased to 26.9%. The association between hypertriglyceridaemia and CHD events may be related to the presence of atherogenic, triglyceride-rich particles in plasma, such as LDL and very low density lipoproteins. High triglyceride levels may also predispose to thrombosis. 19 Evidence type: observation The role of triglycerides in cardiovascular risk. Gandotra P, Miller M. Curr Cardiol Rep. 2008 Nov;10(6):505-11. Triglycerides' role in coronary heart disease (CHD) risk assessment has long been debated. Although meta-analyses have suggested that triglycerides are an independent risk factor for CHD, a consensus has emerged that triglycerides more appropriately represent a biomarker of CHD risk rather than an independent risk factor. Ongoing studies will determine whether triglyceride lowering confers additional CHD benefit beyond that attained via low-density lipoprotein (LDL) cholesterol reduction. The American Diabetes Association presently recommends lowering elevated triglycerides as a secondary therapeutic target after LDL cholesterol, whereas other organizations, such as the National Cholesterol Education Program, recommend non-high-density lipoprotein cholesterol as the second priority after attaining the LDL cholesterol goal. However, reducing very high triglycerides (ie, > 500 mg/dL) remains a sufficiently high priority in affected individuals. 20 Evidence type: analysis of observational results from a randomized controlled trial The Triglyceride Issue RevisitedFindings From the Helsinki Heart Study Leena Tenkanen, PhD; Kati Pietilä; Vesa Manninen, MD; Matti Mänttäri, MD Arch Intern Med. 1994;154(23):2714-2720. doi:10.1001/archinte.1994.00420230107012. Results: Triglycerides occupied a central role in the pattern of associations of the factors studied; in particular, the associations with HDL-C level, blood pressure, and blood glucose level were without threshold values. The prevalence of high triglyceride level plus low HDL-C level was strongly associated with blood pressure and blood glucose level, while the prevalence of low HDL-C level alone was not. Only the subgroup with both high triglyceride and low HDL-C levels showed a substantial CHD risk, while those with low HDL-C levels alone or high triglyceride levels alone showed a marginal risk.Conclusions: Our results suggest that triglycerides play a central mediating role in the occurrence of several CHD risk factors, especially those related to the insulin resistance syndrome. Because of these interdependencies, the question of an independent effect of triglycerides is not relevant, and when assessing CHD risk, triglycerides should be considered jointly with HDL-C 21 Evidence type: prospective analysis Relation of High TG–Low HDL Cholesterol and LDL Cholesterol to the Incidence of Ischemic Heart Disease: An 8-Year Follow-up in the Copenhagen Male Study. Jørgen Jeppesen, Hans Ole Hein, Poul Suadicani, Finn Gyntelberg. Arteriosclerosis, Thrombosis, and Vascular Biology. 1997; 17: 1114-1120 High triglyceride (TG) and low HDL cholesterol (HDL-C) is the characteristic dyslipidemia seen in insulin-resistant subjects. We examined the role of this dyslipidemia as a risk factor of ischemic heart disease (IHD) compared with that of high LDL cholesterol (LDL-C) in the Copenhagen Male Study. In total 2910 white men, aged 53 to 74 years, free of cardiovascular disease at baseline, were subdivided into four groups on the basis of fasting concentrations of serum TG, HDL-C, and LDL-C. “High TG–low HDL-C” was defined as belonging to both the highest third of TG and the lowest third of HDL-C; this group encompassed one fifth of the population. “High LDL-C” was defined as belonging to the highest fifth of LDL-C. A control group was defined as not belonging to either of these two groups. “Combined dyslipidemia” was defined as belonging to both dyslipidemic groups. Age-adjusted incidence of IHD during 8 years of follow-up was 11.4% in high TG–low HDL-C, 8.2% in high LDL-C, 6.6% in the control group, and 17.5% in combined dyslipidemia.... At both low and high levels of total cholesterol and LDL-C, the presence of high TG–low HDL-C approximately doubled the risk of IHD, and individuals with high TG–low HDL-C in the lowest fifth of LDL-C (≤3.6 mmol/L) had a similar risk of IHD to subjects without high TG–low HDL-C in the highest fifth of LDL-C (≥5.3 mmol/L). High TG–low HDL-C thus clearly identified a group at high risk of IHD, though they had LDL-C levels considered to be safe or borderline (<3.4 mmol/L). 22 Evidence type: observational Fasting Triglycerides, High-Density Lipoprotein, and Risk of Myocardial Infarction. J. Michael Gaziano, MD, MPH; Charles H. Hennekens, MD, DrPH; Christopher J. O’Donnell, MD, MPH; Jan L. Breslow, MD; Julie E. Buring, ScD. Circulation. 1997; 96: 2520-2525 doi: 10.1161/01.CIR.96.8.2520 We examined the interrelationships of fasting triglycerides, other lipid parameters, and nonlipid risk factors with risk of myocardial infarction among 340 cases and an equal number of age-, sex-, and community-matched control subjects. Cases were men or women of <76 years of age with no prior history of coronary disease who were discharged from one of six Boston area hospitals with the diagnosis of a confirmed myocardial infarction. In crude analyses, we observed a significant association of elevated fasting triglycerides with risk of myocardial infarction (relative risk [RR] in the highest compared with the lowest quartile=6.8; 95% confidence interval [CI]=3.8 to 12.1; P for trend <.001). Results were not materially altered after control for nonlipid coronary risk factors. As expected, the relationship was attenuated after adjustment for HDL but remained statistically significant (RR in the highest quartile=2.7; 95% confidence interval [CI]=1.4 to 5.5; P for trend=.016). Furthermore, the ratio of triglycerides to HDL was a strong predictor of myocardial infarction (RR in the highest compared with the lowest quartile=16.0; 95% CI=7.7 to 33.1; P for trend <.001). 23 Evidence type: observational High Ratio of Triglycerides to HDL-Cholesterol Predicts Extensive Coronary Disease. Protasio Lemos da Luz, Desiderio Favarato, Jose Rocha Faria-Neto Junior, Pedro Lemos, and Antonio Carlos Palandri Chagas. Clinics. 2008 August; 63(4): 427–432. doi: 10.1590/S1807-59322008000400003 PMCID: PMC2664115 High-risk patients (n = 374) submitted for coronary angiography had their lipid variables measured and coronary disease extent scored by the Friesinger index.RESULTS: The subjects consisted of 220 males and 154 females, age 57.2 ± 11.1 years, with total cholesterol of 210± 50.3 mg/dL, triglycerides of 173.8 ± 169.8 mg/dL, HDL-cholesterol (HDL-c) of 40.1 ± 12.8 mg/dL, LDL-cholesterol (LDL-c) of 137.3 ± 46.2 mg/dL, TG/HDL-c of 5.1 ± 5.3, and a Friesinger index of 6.6 ± 4.7. The relationship between the extent of coronary disease (dichotomized by a Friesenger index of 5 and lipid levels (normal vs. abnormal) was statistically significant for the following: triglycerides, odds ratio of 2.02 (1.31-3.1; p = 0.0018); HDL-c, odds ratio of 2.21 (1.42-3.43; p = 0.0005); and TG/HDL-c, odds ratio of 2.01(1.30-3.09; p = 0.0018). However, the relationship was not significant between extent of coronary disease and total cholesterol [1.25 (0.82-1.91; p = 0.33)] or LDL-c [1.47 (0.96-2.25; p = 0.0842)]. The chi-square for linear trends for Friesinger > 4 and lipid quartiles was statistically significant for triglycerides (p = 0.0017), HDL-c (p = 0.0001), and TG/HDL-c (p = 0.0018), but not for total cholesterol (p = 0.393) or LDL-c (p = 0.0568). The multivariate analysis by logistic regression OR gave 1.3 ± 0.79 (p = .0001) for TG/HDL-c, 0.779 ± 0.074 (p = .0001) for HDL-c, and 1.234 ± 0.097 (p = 0.03) for LDL. Analysis of receiver operating characteristic curves showed that only TG/HDL-c and HDL-c were useful for detecting extensive coronary disease, with the former more strongly associated with disease. CONCLUSIONS: Although some lipid variables were associated with the extent of coronary disease, the ratio of triglycerides to HDL-cholesterol showed the strongest association with extent. 24 Evidence type: non-randomized experiment A Ketogenic Diet Favorably Affects Serum Biomarkers for Cardiovascular Disease in Normal-Weight Men. Matthew J. Sharman, William J. Kraemer, Dawn M. Love, Neva G. Avery, Ana L. Gómez, Timothy P. Scheett, and Jeff S. Volek. J. Nutr. July 1, 2002 vol. 132 no. 7 1879-1885 The primary objective of this study was to examine how healthy normolipidemic, normal-weight men respond to a ketogenic diet in terms of fasting and postprandial CVD biomarkers. Ketogenic diets have been criticized on the grounds they jeopardize health (8); however, very few studies have directly evaluated the effects of a ketogenic diet on fasting and postprandial risk factors for CVD. Subjects consumed a diet that consisted of 8% carbohydrate (<50 g/d), 61% fat, and 30% protein. Adaptation to this ketogenic diet resulted in significant reductions in fasting TAG (−33%), postprandial lipemia after a fat-rich meal (−29%), and fasting insulin concentrations (−34%). There were significant increases in LDL particle size, and no change in the oxidative LDL concentrations. There was a significant increase in HDL cholesterol at wk 3 after the ketogenic diet. Collectively, the responses in serum lipids, insulin and lipid subclasses to the ketogenic diet were favorable in terms of overall CVD risk profile. 25 Evidence type: review of experiments Cardiovascular and hormonal aspects of very-low-carbohydrate ketogenic diets. Volek JS, Sharman MJ. Obes Res. 2004 Nov;12 Suppl 2:115S-23S. Compared with low-fat diets, short-term VLCKDs [very low carb diets] consistently result in improvements in fat loss, fasting and postprandial triacylglycerols, high-density lipoprotein-cholesterol, the distribution of low-density lipoprotein-cholesterol subclasses, and insulin resistance. 26 Evidence type: randomized controlled trial Long-term effects of a ketogenic diet in obese patients. Dashti HM, Mathew TC, Hussein T, Asfar SK, Behbahani A, Khoursheed MA, Al-Sayer HM, Bo-Abbas YY, Al-Zaid NS. Exp Clin Cardiol. 2004 Fall;9(3):200-5. The level of total cholesterol showed a significant decrease from week 1 to week 24 (Figure 3). The level of HDL cholesterol significantly increased (Figure 4), whereas LDL cholesterol levels significantly decreased with treatment (Figure 5). The level of triglycerides decreased significantly after 24 weeks of treatment. The initial level of triglycerides was 2.75±0.23 mmol/L, whereas at week 24, the level decreased to 1.09±0.08 mmol/L (Figure 6). 27 Evidence type: randomized controlled trial Very Low-Carbohydrate and Low-Fat Diets Affect Fasting Lipids and Postprandial Lipemia Differently in Overweight Men. Matthew J. Sharman, Ana L. Gómez, William J. Kraemer, and Jeff S. Volek. J. Nutr. April 1, 2004 vol. 134 no. 4 880-885 The primary purpose of this study was to compare the effects of a very low-carbohydrate and a low-fat diet on fasting blood lipids and postprandial lipemia in overweight men. In a balanced, randomized, crossover design, overweight men (n = 15; body fat >25%; BMI, 34 kg/m2) consumed 2 experimental diets for 2 consecutive 6-wk periods. One was a very low-carbohydrate (<10% energy as carbohydrate) diet and the other a low-fat (<30% energy as fat) diet. Blood was drawn from fasting subjects on separate days and an oral fat tolerance test was performed at baseline, after the very low-carbohydrate diet period, and after the low-fat diet period. Both diets had the same effect on serum total cholesterol, serum insulin, and homeostasis model analysis-insulin resistance (HOMA-IR). Neither diet affected serum HDL cholesterol (HDL-C) or oxidized LDL (oxLDL) concentrations. Serum LDL cholesterol (LDL-C) was reduced (P < 0.05) only by the low-fat diet (−18%). Fasting serum triacylglycerol (TAG), the TAG/HDL-C ratio, and glucose were significantly reduced only by the very low-carbohydrate diet (−44, −42, and −6%, respectively). Postprandial lipemia was significantly reduced when the men consumed both diets compared with baseline, but the reduction was significantly greater after intake of the very low-carbohydrate diet. Mean and peak LDL particle size increased only after the very low-carbohydrate diet. The short-term hypoenergetic low-fat diet was more effective at lowering serum LDL-C, but the very low-carbohydrate diet was more effective at improving characteristics of the metabolic syndrome as shown by a decrease in fasting serum TAG, the TAG/HDL-C ratio, postprandial lipemia, serum glucose, an increase in LDL particle size, and also greater weight loss (P < 0.05). 28 Evidence type: uncontrolled trial Long term effects of ketogenic diet in obese subjects with high cholesterol level. Dashti HM, Al-Zaid NS, Mathew TC, Al-Mousawi M, Talib H, Asfar SK, Behbahani AI. Mol Cell Biochem. 2006 Jun;286(1-2):1-9. Epub 2006 Apr 21. In this study, 66 healthy obese subjects with body mass index (BMI) greater than 30, having high cholesterol level (Group I; n = 35) and those subjects with normal cholesterol level (Group II; n = 31) were selected. The body weight, body mass index, total cholesterol, LDL-cholesterol, HDL-cholesterol, urea, creatinine, glucose and triglycerides were determined before and after the administration of the ketogenic diet. Changes in these parameters were monitored at 8, 16, 24, 32, 40, 48 and 56 weeks of the treatment.RESULTS: The body weight and body mass index of both groups decreased significantly (P < 0.0001). The level of total cholesterol, LDL cholesterol, triglycerides and blood glucose level decreased significantly (P < 0.0001), whereas HDL cholesterol increased significantly (P < 0.0001) after the treatment in both groups. CONCLUSION: This study shows the beneficial effects of ketogenic diet following its long term administration in obese subjects with a high level of total cholesterol. Moreover, this study demonstrates that low carbohydrate diet is safe to use for a longer period of time in obese subjects with a high total cholesterol level and those with normocholesterolemia. 29 Evidence type: randomized controlled trial Weight loss with a low-carbohydrate, Mediterranean, or low-fat diet. Shai I, Schwarzfuchs D, Henkin Y, Shahar DR, Witkow S, Greenberg I, Golan R, Fraser D, Bolotin A, Vardi H, Tangi-Rozental O, Zuk-Ramot R, Sarusi B, Brickner D, Schwartz Z, Sheiner E, Marko R, Katorza E, Thiery J, Fiedler GM, Blüher M, Stumvoll M, Stampfer MJ; Dietary Intervention Randomized Controlled Trial (DIRECT) Group. N Engl J Med. 2008 Jul 17;359(3):229-41. doi: 10.1056/NEJMoa0708681. Changes in lipid profiles during the weight-loss and maintenance phases are shown in Figure 3. HDL cholesterol (Figure 3A) increased during the weight-loss and maintenance phases in all groups, with the greatest increase in the low-carbohydrate group (8.4 mg per deciliter [0.22 mmol per liter], P<0.01 for the interaction between diet group and time), as compared with the low-fat group (6.3 mg per deciliter [0.16 mmol per liter]). Triglyceride levels (Figure 3B) decreased significantly in the low-carbohydrate group (23.7 mg per deciliter [0.27 mmol per liter], P=0.03 for the interaction between diet group and time), as compared with the low-fat group (2.7 mg per deciliter [0.03 mmol per liter]). LDL cholesterol levels (Figure 3C) did not change significantly within groups, and there were no significant differences between the groups in the amount of change. Overall, the ratio of total cholesterol to HDL cholesterol (Figure 3D) decreased during both the weight-loss and the maintenance phases. The low-carbohydrate group had the greatest improvement, with a relative decrease of 20% (P=0.01 for the interaction between diet group and time), as compared with a decrease of 12% in the low-fat group. 30 Evidence type: review Influence of dietary carbohydrate and fat on LDL and HDL particle distributions. Siri PW, Krauss RM. Curr Atheroscler Rep. 2005 Nov;7(6):455-9. Variations in the size and density distributions of low-density lipoprotein (LDL) and high-density lipoprotein (HDL) particles have been related to risk for cardiovascular disease. In particular, increased levels of small, dense LDL particles, together with reduced levels of large HDL and increases in small HDL, are integral features of the atherogenic dyslipidemia found in patients with insulin resistance, obesity, and metabolic syndrome. Increased dietary carbohydrates, particularly simple sugars and starches with high glycemic index, can increase levels of small, dense LDL and HDL, primarily by mechanisms that involve increasing plasma triglyceride concentrations. Low-carbohydrate diets may have the opposite effects. Diets with differing fatty acid composition can also influence LDL and HDL particle distributions. 31 Evidence type: controlled experiment Carbohydrate restriction has a more favorable impact on the metabolic syndrome than a low fat diet. Volek JS, Phinney SD, Forsythe CE, Quann EE, Wood RJ, Puglisi MJ, Kraemer WJ, Bibus DM, Fernandez ML, Feinman RD. Lipids. 2009 Apr;44(4):297-309. doi: 10.1007/s11745-008-3274-2. Epub 2008 Dec 12. AbstractWe recently proposed that the biological markers improved by carbohydrate restriction were precisely those that define the metabolic syndrome (MetS), and that the common thread was regulation of insulin as a control element. We specifically tested the idea with a 12-week study comparing two hypocaloric diets (approximately 1,500 kcal): a carbohydrate-restricted diet (CRD) (%carbohydrate:fat:protein = 12:59:28) and a low-fat diet (LFD) (56:24:20) in 40 subjects with atherogenic dyslipidemia. Both interventions led to improvements in several metabolic markers, but subjects following the CRD had consistently reduced glucose (-12%) and insulin (-50%) concentrations, insulin sensitivity (-55%), weight loss (-10%), decreased adiposity (-14%), and more favorable triacylglycerol (TAG) (-51%), HDL-C (13%) and total cholesterol/HDL-C ratio (-14%) responses. In addition to these markers for MetS, the CRD subjects showed more favorable responses to alternative indicators of cardiovascular risk: postprandial lipemia (-47%), the Apo B/Apo A-1 ratio (-16%), and LDL particle distribution. Despite a threefold higher intake of dietary saturated fat during the CRD, saturated fatty acids in TAG and cholesteryl ester were significantly decreased, as was palmitoleic acid (16:1n-7), an endogenous marker of lipogenesis, compared to subjects consuming the LFD. Serum retinol binding protein 4 has been linked to insulin-resistant states, and only the CRD decreased this marker (-20%). The findings provide support for unifying the disparate markers of MetS and for the proposed intimate connection with dietary carbohydrate. The results support the use of dietary carbohydrate restriction as an effective approach to improve features of MetS and cardiovascular risk. 32 Evidence type: randomized controlled trial Effect of a low-carbohydrate, ketogenic diet program compared to a low-fat diet on fasting lipoprotein subclasses. Westman EC, Yancy WS Jr, Olsen MK, Dudley T, Guyton JR. Int J Cardiol. 2006 Jun 16;110(2):212-6. Epub 2005 Nov 16. Comparing baseline to 6 months, the LCKD [low carb ketogenic diet] group had significant changes in large VLDL (-78%), medium VLDL (-60%), small VLDL (-57%), LDL particle size (+2%), large LDL (+54%), medium LDL (-42%), small LDL (-78%), HDL particle size (+5%), large HDL (+21%), and LDL particle concentration (-11%).... CONCLUSIONS: The LCKD with nutritional supplementation led to beneficial changes in serum lipid subclasses during weight loss. While the LCKD did not lower total LDL cholesterol, it did result in a shift from small, dense LDL to large, buoyant LDL, which could lower cardiovascular disease risk. 33 Evidence type: longitudinal analysis Change in LDL particle size is associated with change in plasma triglyceride concentration. McNamara JR, Jenner JL, Li Z, Wilson PW, Schaefer EJ. Arterioscler Thromb. 1992 Nov;12(11):1284-90. Low density lipoprotein (LDL) particle size is inversely associated with plasma triglyceride concentration in cross-sectional analyses. In the present study, changes in the LDL particle size of 227 participants of the Framingham Offspring Study were analyzed longitudinally by nondenaturing gradient gel electrophoresis at two examinations that were separated by 3-4 years. All subjects had triglyceride concentrations < 400 mg/dl at both exams. Using laser scanning densitometry to assess mean LDL particle size, 56% of samples displayed a change in size: 41% had a one-band size change, 13% had a two-band change, and 2% had a three-band change. These changes in size corresponded to a 15% change in pattern type, based on pattern A and B terminology. There was a significant inverse association between change in LDL size and change in triglyceride (p < 0.0001) and glucose (p < 0.004) concentrations, body weight (p < 0.02), and age (p < 0.03). There was also a significant positive association with change in high density lipoprotein (HDL) cholesterol concentration (p < 0.0001). 34 Evidence type: observational Ratio of triglycerides to HDL cholesterol is an indicator of LDL particle size in patients with type 2 diabetes and normal HDL cholesterol levels. Boizel R, Benhamou PY, Lardy B, Laporte F, Foulon T, Halimi S. Diabetes Care. 2000 Nov;23(11):1679-85. LDL size correlated negatively with plasma triglycerides (TGs) (R2 = 0.52) and positively with HDL cholesterol (R2 = 0.14). However, an inverse correlation between the TG-to-HDL cholesterol molar ratio and LDL size was even stronger (R2 = 0.59). The ratio was > 1.33 in 90% of the patients with small LDL particles (95% CI 79.3-100) and 16.5% of those with larger LDL particles. A cutoff point of 1.33 for the TG-to-HDL cholesterol ratio distinguishes between patients having small LDL values better than TG cutoff of 1.70 and 1.45 mmol/l.CONCLUSIONS: The TG-to-HDL cholesterol ratio may be related to the processes involved in LDL size pathophysiology and relevant with regard to the risk of clinical vascular disease. It may be suitable for the selection of patients needing an earlier and aggressive treatment of lipid abnormalities. 35 Evidence type: observational Assessment of LDL particle size by triglyceride/HDL-cholesterol ratio in non-diabetic, healthy subjects without prominent hyperlipidemia. Maruyama C, Imamura K, Teramoto T. J Atheroscler Thromb. 2003;10(3):186-91. AbstractSmall, dense low-density lipoprotein (LDL) is an atherogenic lipoprotein because of its susceptibility to oxidative modification. However, evaluating LDL size requires highly sophisticated techniques. We investigated potentially convenient biochemical parameters for assessing the presence of small, dense LDL. Thirty-nine male subjects, who had been involved in a work-site health promotion program, were recruited. Subjects were divided into two groups: normal LDL size (> 25.5 nm, Normal LDL group) and small LDL (< /= 25.5 nm, Small LDL group). Significant negative correlations were observed between LDL size and both triglyceride (TG) (p <0.001) and remnant-like particle cholesterol concentrations (p < 0.01), while there was a significant positive correlation between LDL size and the high density lipoprotein cholesterol (HDL-C) concentration (p < 0.01). The TG concentration was a negative and the HDL-C concentration a positive independent variable predicting LDL size in multiple regression analysis (p < 0.0001). Seventy-five percent of the Small LDL group had TG/HDL-C ratios higher than 0.9 using mmol/L or 2.0 using mg/dL, while only 25% of the normal LDL group had ratios above the levels (p = 0.0013). A combined parameter, the TG/HDL-C ratio, is beneficial for assessing the presence of small LDL. 36 Evidence type: review of experiments Low-carbohydrate diet review: shifting the paradigm. Hite AH, Berkowitz VG, Berkowitz K. Nutr Clin Pract. 2011 Jun;26(3):300-8. doi: 10.1177/0884533611405791. Note that there is an error in the text accompanying this figure (not visible in our image). The data is attributed to a study by Jakobsen et al., but it comes from the study in 31, by Volek et al. Source: http://www.ketotic.org/2013/09/the-ketogenic-diet-reverses-indicators.html
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Endurance runners adapted to a low-carbohydrate diet can burn up to 1.54 g of fat per minute, which is at least 50% more than the highest previous estimate, researchers report.
A new study provides evidence that endurance athletes can perform at high levels without consuming carbohydrates during competitions, said Patrick Davitt, PhD, from Mercy College in Dobbs Ferry, New York. "We're trying to put all the naysayers to rest," he told Medscape Medical News. Dr Davitt presented the finding here at the American College of Sports Medicine (ACSM) 62nd Annual Meeting. In a joint position statement issued by the ACSM, the American Dietetic Association, and the Dietitians of Canada, it is recommended that athletes replace energy burned during sports with carbohydrates (Med Sci Sports Exerc. 2009;41:709-731). However, a growing number of ultra-endurance athletes are living on low-carbohydrate diets in an effort to adapt their metabolism to draw more energy from fat, Dr Davitt reported. That way, they don't have to carry food with them and they don't have to stop to eat or drink carbohydrates during a competition, he said. In addition, they can avoid the gastrointestinal upset that some people experience when they eat during intense exercise. "Blood is being shunted away from the gut," he explained. To see how low-carbohydrate diets are affecting endurance athletes, Dr Davitt and his colleagues recruited 20 experienced ultra-endurance runners from all over the United States. All athletes had completed a 50-mile race, all were men, average age was 33.5 years, and an average body mass index was 22.6 kg/m². Ten of the athletes habitually ate high-carbohydrate diets that were 28% fat, 15% protein, and 58% carbohydrate, and 10 ate low-carbohydrate diets that were 71% fat, 19% protein, and 11% carbohydrate. All had been on these diets for at least 6 months. As the athletes ran on treadmills, the researchers measured consumption of oxygen and production of carbon dioxide. From these measurements, they calculated the maximal aerobic capacity of each athlete and the amount of fat and carbohydrates burned. There were no significant differences in the aerobic capacity between the two groups. However, on average, the high-carbohydrate group burned less fat per minute than the low-carbohydrate group (0.67 vs 1.54 g; P < .0001). People on low-carbohydrate diets don't have the energy for a surge. That's a real problem. You just can't get into higher gear. "That's really a profound finding because it indicates they are able to run at a higher intensity for a longer time using mostly fat," said Dr Davitt. Previous studies indicated that the maximum possible rate of fat oxidation was less than 1 g/min, he explained. But these studies did not assess ultra-endurance athletes who had adapted to low-carbohydrate diets.In addition, this study showed that the low-carbohydrate group reached maximal fat oxidation at a lower intensity of exercise. This indicates that these runners could rely on their store of fat more quickly than those in the high-carbohydrate group. Table: Measures of Oxidation VariableLow-Carbohydrate DietHigh-Carbohydrate DietP Value Maximal aerobic capacity, mL/kg per min64.364.7.85 Maximal carbohydrate oxidation, g/min5.657.83.002 % maximal aerobic capacity at maximal fat oxidation70.2554.89<.0001Adapting to a low-carbohydrate diet might allow endurance athletes to avoid the gastrointestinal symptoms caused by eating during exercise, said Nancy Clark, RD, who is a sports nutritionist in Boston. However, fats burn more slowly than carbohydrates, which could be a drawback for competitive athletes who need to put on a burst of speed, she explained. "People on low-carbohydrate diets don't have the energy for a surge," she said. "That's a real problem. You just can't get into higher gear." The study was supported by Quest Nutrition and the Robert C. and Veronica Atkins Foundation. Dr Davitt and Ms Clark have disclosed no relevant financial relationships. American College of Sports Medicine (ACSM) 62nd Annual Meeting: Abstract 1799. May 28, 2015. Source: http://www.medscape.com/viewarticle/846278?src=soc_fb_share Jeff Volek, professor of human sciences at The Ohio State University, talks about why a diet that is low in carbohydrates and low in calories is good for you. He also talks about why saturated fats are not necessarily bad. An unhealthy diet is considered a key contributor to obesity. When it comes to cravings for sweet treats, however, impairments in the brain's reward system might be to blame.
Researchers say the reward system in the brains of obese individuals appears to be impaired in response to sweet foods. In a new study published in the journal Diabetes, researchers found age and receptor levels of the reward-associated chemical dopamine influence preference for sweet foods among people of a healthy weight, but not for people who are obese. First author M. Yanina Pepino, Ph.D., of the Washington University School of Medicine, and colleagues reached their findings by enrolling 44 adults aged 20-40 years. A total of 24 of the participants were obese - defined in the study as having a body mass index (BMI) of 30 or higher - while 20 were a healthy weight. The researchers asked the participants to consume a number of drinks, each containing different sugar contents, and rate which ones they preferred. Subjects then underwent positron emission tomography (PET) scans, which allowed the researchers to assess dopamine receptor levels in each subject's brain. Dopamine is a neurotransmitter - a chemical that enables communication between nerve cells - that regulates the reward and pleasure centers of the brain. Insulin resistance may impair brain's reward response to sugar On analyzing the brains of the healthy-weight participants, the researchers found that younger age and fewer dopamine receptors were associated with a greater preference for sugar. "We found disparities in preference for sweets between individuals, and we also found individual variations in dopamine receptors - some people have high levels and some low," explains study co-author Tamara Hershey, Ph.D., a professor of psychiatry, neurology, and radiology at Washington. "But when we looked at how those things go together, the general trend in people of normal weight was that having fewer dopamine receptors was associated with a higher preference for sweets." However, this was not the case in the brains of the obese participants, suggesting that the brains of obese individuals are altered in some way to influence preference for sweet foods. "We believe we may have identified a new abnormality in the relationship between reward response to food and dopamine in the brains of individuals with obesity." M. Yanina Pepino, Ph.D. Hershey notes that some of the obese participants had high blood glucose and insulin concentrations, which may have altered the brain's response to sugar. "There is a relationship between insulin resistance and the brain's reward system, so that might have something to do with what we saw in obese subjects," she explains. "What's clear is that extra body fat can exert effects not only in how we metabolize food but how our brains perceive rewards when we eat that food, particularly when it's something sweet." It is unclear exactly what these findings may mean for individuals who are obese, but the researchers say they shed light on the neurological mechanisms that influence sweet preferences. Source: http://www.medicalnewstoday.com/articles/311032.php Despite advances in the prevention and early detection of cardiovascular disease, heart attack patients are getting younger, fatter, and less health conscious.
A look at 10 years’ worth of patient data reveals these and other “alarming trends,” according to Dr. Samir R. Kapadia of the Cleveland Clinic. “What we found was so very contradictory to what we expected,” he said at a press briefing held in advance of the annual meeting of the American College of Cardiology. “Amazingly, we saw that patients presenting with myocardial infarction were getting younger, and their body mass index was going up. There was more smoking, more hypertension, and more diabetes. And all of this despite our better understanding of cardiovascular risk factors.” The findings seem to point to a serious gap between gathering scientific knowledge and putting that knowledge into practice. “We have to extend our efforts and put a lot more into educating patients,” Dr. Kapadia said. “Maybe it’s not enough to just tell people to eat right and exercise – maybe we should also be providing them with a structured program. But this is not just the job of the cardiologist. Primary care physicians have to also have this insight, communicate it to the patients, and get them the resources they need to help prevent heart attacks.” His retrospective study comprised 3,912 consecutive patients who were treated for ST-segment elevation MI (STEMI) from 1995 to 2014. Data were collected on age, gender, diabetes, hypertension, smoking, lipid levels, chronic renal impairment, and obesity. The group was divided into four epochs: 1995-1999, 2000-2004, 2005-2009, and 2010-2014. The researchers examined these factors both in the entire cohort and in a subset of 1,325 who had a diagnosis of coronary artery disease at the time of their MI. Patients became significantly younger over the entire study period. In epoch 1, the mean age of the entire cohort was 63.6 years. By epoch 3, this had declined to 60.3 years – a significant drop. The change was also evident in the CAD subset; among these patients, mean age declined from 64.1 years in epoch 1 to 61.8 years in epoch 4. Tobacco use increased significantly in both groups as well. In the overall cohort, the rate was 27.7% in epoch 1 and 45.4% in epoch 4. In the CAD subset, it rose from 24.6% to 42.7%. Hypertension in the entire cohort increased from 56.7% to 77.3%. In the CAD subset, it increased from 60.9% to 89%. Obesity increased in both cohorts in overlapping trends, from about 30% in epoch 1 to 40% in epoch 4. Diabetes increased as well. In the entire cohort, it rose from 24.6% to 30.6%. In the CAD subset, it rose from 25.4% to 41.5%. Dr. Kapadia noted that the proportion of patients with at least three major risk factors rose from 65% to 85%, and that the incidence of chronic obstructive pulmonary disease increased from 5% to 12%, although he didn’t break this trend down by group. Source: http://www.diabeteshub.com/news/type-2-diabetes/conference-news/article/heart-attack-patients-getting-younger-fatter-and-less-healthy/9b63bdd9996979bb7c33e8e38f0d57e5.html?utm_source=Hubs_DIAB_eNL_032716&utm_medium=email&utm_content=Heart attack patients getting younger, fatter, less healthy The things we eat and drink on a daily basis can impact our health in big ways. Too many carbohydrates, for instance, can lead to insulin resistance, which is a major contributor to cardiovascular disease and Type 2 Diabetes. But what are carbs, exactly? And what do they do to our bodies? Richard J. Wood explains. Dr. Sarah Hallberg is the medical director and founder of the Indiana University-Arnett Health Medical Weight Loss Program. The program was created by Dr. Hallberg and in its first year has exceeded national benchmarks for weight-loss success. The program has a waiting list for new patients; people often wait weeks or months for their first consultation. Coconut oil has received a lot of attention in recent years. This is because of its potential health benefits, many of which can be attributed to the medium-chain triglycerides (MCTs) it contains. There are many promising animal, test-tube and observational studies on coconut oil. However, these types of studies can’t prove that coconut oil is beneficial in humans.
Interestingly, it has also been studied in several human controlled trials. These studies are much better at determining whether coconut oil is truly healthy for people. This article looks at 13 controlled human studies on coconut oil. The Studies 1. White MD, et al. “Enhanced postprandial energy expenditure with medium-chain fatty acid feeding is attenuated after 14 d in premenopausal women.” American Journal of Clinical Nutrition, 1999. Details Twelve normal-weight women followed a medium-chain-triglyceride (MCT) diet for 14 days, consuming butter and coconut oil as their main sources of fat. For another 14 days, they followed a long-chain-triglyceride (LCT) diet, consuming beef tallow as their main source of fat. Results After 7 days, resting metabolic rate and calories burned after meals were significantly higher on the MCT diet, compared to the LCT diet. After 14 days, the difference between the diets was no longer statistically significant. 2. Papamandjaris AA, et al. “Endogenous fat oxidation during medium chain versus long chain triglyceride feeding in healthy women.” International Journal of Obesity, 2000. Details Twelve normal-weight women consumed a mixed diet supplemented with either butter and coconut oil (MCT diet) or beef tallow (LCT diet) for 6 days. For 8 days, long-chain fats were given to both groups in order to assess fat burning. Results By day 14, the MCT group burned more body fat than the LCT group. Resting metabolic rate was significantly higher on day seven in the MCT group compared to the LCT group, but the difference was no longer significant by day 14. 3. Papamandjaris AA, et al. “Components of total energy expenditure in healthy young women are not affected after 14 days of feeding with medium-versus long-chain triglycerides.” Obesity Research, 1999. Details Twelve normal-weight women consumed a mixed diet supplemented with butter and coconut oil (MCT diet) for 14 days and beef tallow (LCT diet) for a separate 14 days. Results Resting metabolic rate was significantly higher on day seven of the MCT diet compared to the LCT diet, but the difference was no longer significant by day 14. Total calorie expenditure was similar for both groups throughout the study. 4. Liau KM, et al. “An open-label pilot study to assess the efficacy and safety of virgin coconut oil in reducing visceral adiposity.” International Scholarly Research Notices Pharmacology, 2011. Details Twenty overweight or obese people consumed 10 ml of virgin coconut oil three times per day before meals for four weeks, for a total of 30 ml (2 tablespoons) per day. They were instructed to follow their usual diets and exercise routines. Results After four weeks, the men had lost an average of 1.0 in (2.61 cm) and women an average of 1.2 in (3.00 cm) from around the waist. Average weight loss was 0.5 lbs (0.23 kg) overall and 1.2 lbs (0.54 kg) in men. 5. Assuncao ML, et al. “Effects of dietary coconut oil on the biochemical and anthropometric profiles of women presenting abdominal obesity.” Lipids, 2009. Details Forty women with abdominal obesity were randomized to take 10 ml of soybean oil or coconut oil at each meal, three times per day for 12 weeks. This amounted to 30 ml (2 tablespoons) of coconut oil per day. They were instructed to follow a low-calorie diet and walk 50 minutes daily. Results Both groups lost about 2.2 lbs (1 kg). However, the coconut oil group had a 0.55-in (1.4-cm) decrease in waist circumference, whereas the soybean oil group had a slight increase. The coconut oil group also had an increase in HDL (the good) cholesterol and a 35% decrease in C-reactive protein (CRP), a marker of inflammation. Additionally, the soybean oil group had an increase in LDL (the bad) cholesterol, a decrease in HDL cholesterol and a 14% decrease in CRP. 6. Sabitha P, et al. “Comparison of lipid profile and antioxidant enzymes among south Indian men consuming coconut oil and sunflower oil.” Indian Journal of Clinical Biochemistry, 2009. Details Seventy men with type 2 diabetes and 70 healthy men were divided into groups based on their use of coconut oil versus sunflower oil for cooking over a six-year period. Cholesterol, triglycerides and markers of oxidative stress were measured. Results There were no significant differences in any values between the coconut oil and sunflower oil groups. The diabetic men had higher markers of oxidative stress and heart disease risk than the non-diabetic men regardless of the type of oil used. 7. Cox C, et al. “Effects of coconut oil, butter and safflower oil on lipids and lipoproteins in persons with moderately elevated cholesterol levels.” Journal of Lipid Research, 1995. Details Twenty-eight people with high cholesterol followed three diets containing either coconut oil, butter or safflower oil as the main fat source for six weeks each. Lipids and lipoproteins were measured. Results Coconut oil and butter increased HDL significantly more than safflower oil in women, but not in men. Butter raised total cholesterol more than coconut oil or safflower oil. 8. Reiser R, et al. “Plasma lipid and lipoprotein response of humans to beef fat, coconut oil and safflower oil.” American Journal of Clinical Nutrition, 1985. Details Nineteen men with normal cholesterol levels consumed lunch and dinner containing three different fats for three sequential trial periods. They consumed coconut oil, safflower oil and beef fat for five weeks each, alternating with normal eating for five weeks between each test period. Results The coconut oil diet raised total, HDL and LDL cholesterol more than the beef fat and safflower oil diets, but raised triglycerides less than the diet containing beef fat. 9. Muller H, et al. “The Serum LDL/HDL Cholesterol Ratio Is Influenced More Favorably by Exchanging Saturated with Unsaturated Fat Than by Reducing Saturated Fat in the Diet of Women.” Journal of Nutrition, 2003. Details Twenty-five women consumed three diets: a high-fat, coconut oil based diet; a low-fat, coconut oil based diet; and a diet based on highly unsaturated fatty acids (HUFA). They consumed each for 20–22 days, alternating with one week of their normal diet between each test diet period. Results The high-fat, coconut oil based diet group had greater increases in HDL and LDL cholesterol than the other groups. The low-fat, coconut oil based diet group showed an increase in the LDL to HDL ratio, while the other groups showed a decrease. 10. Muller H, et al. “A diet rich in coconut oil reduces diurnal postprandial variations in circulating tissue plasminogen activator antigen and fasting lipoprotein (a) compared with a diet rich in unsaturated fat in women.” Journal of Nutrition, 2003. Details Eleven women consumed three different diets: a high-fat, coconut oil based diet; a low-fat, coconut oil based diet; and a diet with mostly highly unsaturated fatty acids. They followed each diet for 20–22 days. Then they alternated with 1 week of a normal diet between the test periods. Results Women who consumed the high-fat, coconut oil based diet had the largest reductions in markers of inflammation after meals, as well as fasting markers of heart disease risk, especially when compared to the HUFA group. 11. Kaushik M, et al. “The effect of coconut oil pulling on Streptococcus mutans count in saliva in comparison with chlorhexidine mouthwash.” Journal of Contemporary Dental Practice, 2016. Details Sixty people were randomized to rinse their mouths with coconut oil for 10 minutes, chlorhexidine mouthwash for one minute or distilled water for one minute. Plaque-forming bacteria in their mouths were measured before and after treatment. Results Both the coconut oil and chlorhexidine were found to significantly reduce the amount of plaque-forming bacteria in saliva. 12. Peedikayil FC, et al. “Effect of coconut oil in plaque related gingivitis — A preliminary report.” Niger Medical Journal, 2015. Details Sixty teenagers aged 16–18 years with gingivitis (gum inflammation) did oil pulling with coconut oil for 30 days. Inflammation and plaque markers were measured after seven, 15 and 30 days. Results Markers of plaque and gingivitis were significantly decreased by day seven and continued to decrease for the duration of the study. However, there was no control group in this study, so it cannot be concluded that the benefits were caused by coconut oil. 13. Law KS, et al. “The effects of virgin coconut oil (VCO) as supplementation on quality of life (QOL) among breast cancer patients.” Lipids Health Disease Journal, 2014. Details Sixty women with advanced breast cancer undergoing chemotherapy participated in this study. They were randomized to receive either 20 ml of virgin coconut oil daily or no treatment. Results Women in the coconut oil group had better scores for quality of life, fatigue, sleep, loss of appetite, sexual function and body image than those in the control group. Effects on Weight Loss and Metabolism All five studies examining changes in fat loss or metabolism found some benefit with coconut oil, compared to other oils or control groups. However, the effects were usually modest. Here are a few facts to consider:
Here is a detailed article about the effects of coconut oil on weight and belly fat. Effects on Cholesterol, Triglycerides and Inflammation Five studies looked at the effects of different fats on cholesterol and triglycerides. Here are a few points about the findings:
Other Health Benefits of Coconut Oil Dental Health The practice of oil pulling with coconut oil was found to reduce the bacteria responsible for plaque. In addition, it significantly improved gingivitis in teenagers. Quality of Life in Breast Cancer The addition of a small amount of coconut oil to the diets of women undergoing chemotherapy for breast cancer resulted in significantly better quality of life scores. Take Home Message Coconut oil seems to help overweight people lose abdominal fat. It also appears to increase metabolic rate, at least temporarily. However, since each tablespoon of coconut oil provides 130 calories, this increase in metabolism can easily be offset if large amounts are consumed. Although coconut oil seems to raise LDL cholesterol more than some other fats, its most consistent effect is an increase in HDL cholesterol. It’s also important to remember that responses to dietary fats can vary a lot from person to person. That being said, coconut oil is generally a healthy and natural food. Including it in your diet may improve your health, weight and quality of life. |