Guest guest Posted January 16, 2005 Report Share Posted January 16, 2005 Hi All, I thought although CR receives only some rather passing attention in the below, the issue of the glycemic index of our food and the glycemia that we may consequently suffer play a larger role for us. A good introduction to the topic may be: http://lists.calorierestriction.org/cgi-bin/wa? A2=ind0411 & L=crsociety & P=R1549 & D=0 & X=5F1CA53A791170A5E5 & Y=old542000@ya hoo.com http://tinyurl.com/4auja The papers in the post above refers to reference 51 in the below pdf excerpts and are in http://tinyurl.com/4fxzj for: Ann Intern Med. 2004 Nov 2;141(9):738; author reply 738-9. Overall, lower carbohydrates diets are preferred among us for CR. I would tend to, reluctantly, agree. It goes against my palate and thrifty disposition. Dickinson S, Brand- J. Glycemic index, postprandial glycemia and cardiovascular disease. Curr Opin Lipidol. 2005 Feb;16(1):69-75. PMID: 15650566 [PubMed - in process] Purpose of review: Several lines of evidence indicate that exaggerated postprandial glycemia puts individuals without diabetes at greater risk of developing cardiovascular disease. In large, prospective observational studies, including metaanalyses, higher 120 min post-load blood glucose and glycated hemoglobin (a measure of average blood glucose level over time) independently predict cardiovascular mortality and morbidity in individuals without diabetes. These findings imply that the glycemic nature of dietary carbohydrates may also be relevant. We aim to provide a clearer perspective on how the glycemic impact of carbohydrates may modulate development of cardiovascular disease. Recent findings: In ecological studies, average dietary glycemic index (a measure of the postprandial glycemic potential of carbohydrates) and glycemic load (average glycemic index × amount of carbohydrate) predicts coronary infarct and cardiovascular disease risk factors, including HDL cholesterol, triglycerides and C-reactive protein. In short-term intervention studies of overweight and hyperlipidemic patients, low glycemic index diets lead to improvements in cardiovascular disease risk factors, including reduced LDL cholesterol and improved insulin sensitivity, as well as greater body fat loss on energy-restricted diets. Molecular studies indicate that physiological hyperglycemia induces overproduction of superoxide by the mitochondrial electron-transport chain, resulting in inflammatory responses and endothelial dysfunction. Summary: Taken together, the findings suggest that conventional high-carbohydrate diets with their high glycemic index may be suboptimal, particularly in insulin-resistant individuals. Because around one in four adults has impairments in postprandial glucose regulation, the glycemic potential of carbohydrates warrants further investigation in cardiovascular disease prevention. Abbreviations BMI: body mass index; CRP: C-reactive protein; CVD: cardiovascular disease; HbA1c: hemoglobin A1c; HOMA: homeostasis model assessment; IGT: impaired glucose tolerance; PPG postprandial glycem. Introduction Over the past decade, dietary advice to reduce the risk of cardiovascular disease (CVD) and obesity has recommended carbohydrates in place of saturated fatty acids, with little emphasis on the nature of the carbohydrate. There is concern, however, that some high-carbohydrate diets may increase the risk of CVD, type 2 diabetes and obesity, especially those that exaggerate postprandial glycemic and insulin responses and dyslipidemia [1•,2•]. In this context, the use of the glycemic index approach to classifying carbohydrates has provided insights that the traditional separation of carbohydrates into starch and sugars has not [3]. The glycemic index compares carbohydrates gram for gram in individual foods, providing a numerical, evidence-based index of postprandial glycemia [4]. A lower glycemic index suggests a slower rate of digestion and absorption of the sugars and starches in foods but may also indicate greater hepatic and peripheral extraction of the products of carbohydrate digestion [5]. The glycemic index has provoked controversy, particularly in relation to diebetic diets but there is agreement that moderate-to high carbohydrate based on low glycemic index foods (not low carbohydrate diets) provide a benefit to glycemic control [6••]. Several lines of evidence support the hypothesis that an excessive rise in blood glucose levels after a meal increases the risk of chronic disease. The first is that dominated by the term `postprandial or post-challenge glycemia' (PPG) and its continuous relationship to cardiovascular and total mortality in individuals with or without diabetes. The second area is that denoted by the keywords `glycemic index' and `glycemic load' (the product of the glycemic index of specific foods and the carbohydrate content per serving). A third avenue of research indicates that hyperglycemia, even within the normal nondiabetic range, is directly involved in pathogenic processes because it creates oxidative stress. This review aims to bring the three areas together to provide a clearer perspective on how the glycemic impact of carbohydrates may modulate the development of CVD. Impaired glucose metabolism Impaired glucose metabolism is surprisingly common even in those without diabetes. In Australia, almost 25% of approximately 11 000 adults surveyed in the Australian Diabetes, Obesity and Lifestyle study had either diabetes or impaired glucose metabolism, including impaired glucose tolerance (IGT) and impaired fasting glucose [7]. On a worldwide basis, abnormal glucose metabolism is more common in indigenous, South Asian, Chinese and Asian-Indian populations, with lower prevalence in Caucasians [8•]. IGT indicates not only the presence of insulin resistance but also loss of early first phase insulin secretion. While many individuals accommodate higher carbohydrate intake by increasing insulin sensitivity, others require increased insulin secretion to maintain normal glucose homoeostasis [9]. Because [beta]-cell defects may also be present, insulin secretion may be compromised over the long term. A significant proportion of individuals will therefore display postprandial glycemia (PPG) as they age. The implications of this defect are important because every meal, particularly high-carbohydrate meals, represents a challenge to glucose homoeostasis. While a 75 g glucose load may not be `physiological' in a strict sense, it is not materially different in glycemic impact to a typical meal containing 50 or 75 g starch or sugars. On a scale where glucose = 100, the glycemic index of most modern starchy foods is above 70, including bread, potatoes, rice and breakfast cereals [4]. While additional fat and protein in a meal reduce the glycemic response, the rank order of responses to different carbohydrates in the mixed meal is still predicted by the glycemic index of the single foods [10•]. Low-fat, high-carbohydrate meals based on high glycemic index food sources produce the highest day-long glycemic profiles [11••]. Post-challenge glycemia as a risk factor for cardiovascular disease A high 2 h post-challenge blood glucose level is increasingly recognized as an important independent risk factor for CVD in individuals without diabetes. The heightened risk in people with diabetes is well established, beginning well before the development of diabetes when only moderate increases in PPG are present [12]. Moreover, poor control of hyperglycemia plays a significant role in progression of CVD in people with diabetes. While large, prospective clinical trials have shown a direct relationship between the degree of glycemia and diabetic microvascular complications, the link to macrovascular complications is less clear. In the UK Prospective Diabetes Study, for example, higher levels of glycated hemoglobin A1c (HbA1c) did not predict a significantly greater risk of CVD [13]. In people with diabetes, however, HbA1c reflects average blood glucose levels rather than postprandial `spikes' and does not distinguish between larger and smaller fluctuations in PPG [14]. In recent years, controlling PPG per se has become the focus of new therapeutic approaches to reduce the burden of CVD complications in people with diabetes. In prospective cohort studies, high post-challenge blood glucose is associated with all-cause and CVD mortality. The relative risk is up to three times greater when comparing extreme quintiles or quartiles [15,16]. Most recently, Levitan et al. [17••] conducted a meta-analysis of 39 reports in nondiabetic populations of the risk of CVD in relation to 120 min post-load glucose values. The group with the highest post-challenge blood glucose had a 27% greater risk of CVD than the group with the lowest glucose levels and the relative risk was higher in women than men (1.56 versus 1.23). Adjustment for traditional CVD risk factors attenuated but did not abolish the relationship. Glycemic `spikes' have also been more strongly associated with carotid intima-media thickness than fasting glucose or HbA1c [18]. Hanefeld et al. [19] showed that intima-media thickness increased 13% comparing the lowest and highest quintiles of 2 h PPG in a group of 403 European individuals without diabetes. nsen et al. [20••] found a strong, independent relationship between HbA1c in around 6000 individuals without diabetes and the risk of developing hard plaques. The odds ratio was 5.8 in the highest quintile of HbA1c and remained significant after adjustment for possible confounders, including body mass index (BMI), hypertension and physical activity. Increased risk was present even at modestly elevated levels of HbA1c. Glycemic index, glycemic load and cardiovascular disease risk Studies incorporating the glycemic index and glycemic load provide the second line of evidence that excessive PPG increases the risk of CVD. In this context, the glycemic index allows a more physiological basis for comparing carbohydrates than the traditional starch versus sugar classification. This is because there is no clear distinction between the size of the carbohydrate molecule or chain length and the level of PPG. Indeed, many modern starchy foods produce higher levels of glycemia than sugar-containing foods [4]. Dairy products, fruits and chocolate confectionery in particular may contain high levels of simple sugars, yet have low glycemic index values (<50). At the other extreme, many low-fat, high-starch foods have exceptionally high glycemic index values (>80), although pasta and legumes are important exceptions. Moreover, dietary fiber is not a reliable predictor of PPG, particularly in respect of flour-based products. Most wheatmeal breads and high-fiber breakfast cereals have high glycemic index values that are similar to their refined counterparts [4]. For this reason, using the glycemic index is a more precise instrument for teasing out the effects of PPG per se on disease risk. Glycemic load is defined as the product of the carbohydrate content per serving of food and its glycemic index. It was introduced by Harvard researchers to derive a `global' estimate of postprandial glycemia and insulin demand [3]. Recent studies have validated the concept in a physiological sense. Servings of food with the same glycemic load produced similar levels of postprandial glycemia, and step-wise increases in glycemic load gave predictable increases in glycemia and insulinemia [21]. Moreover, when four isoenergetic diets of differing glycemic load were compared in mixed meals over 10 h, they produced the expected rank order of responses [10•]. Diets based on large quantities of carbohydrates from high glycemic index sources such as bread, potatoes and breakfast cereals therefore have the highest glycemic load and theoretically the highest levels of PPG. Liu et al. [22] were the first to consider glycemic index, glycemic load and CVD using data from 75 000 women in the Nurses' Health Study. During 10 years of follow-up, dietary glycemic load was directly associated with risk of coronary heart disease after adjustment for known confounders, including fiber. The relative risk comparing highest and lowest quintiles was 1.98 and was most evident among women with a BMI above 23. In addition, infarct risk was not predicted by the amounts of sugar or starch in the diet. Two studies, one large and one small, found no strong association between glycemic index and nonfatal myocardial infarction. In the Zutphen study of elderly men [23], for example, the relative risk was only 1.11 from lowest to highest tertile of glycemic index. Similarly, in an Italian population of 433 men without diabetes [24], glycemic index was not significantly related to disease risk, except in the subgroup of men over 60 years with a BMI greater than 25. One of the particular strengths of the Harvard research, however, is the quality of the glycemic index database. of the University of Toronto, who first proposed a glycemic index of foods, coded the Harvard database and tested some of the key foods. Because many breads and cereal products have unknown glycemic index values, extrapolation may be a significant source of error and create bias towards the null hypothesis. Glycemic index, glycemic load and dyslipidemia The glycemic index and glycemic load may influence risk of CVD via mechanisms other than PPG. HDL cholesterol is a powerful predictor of the development of CVD. In metabolic studies, diets with increased carbohydrates are recognized to reduce HDL cholesterol concentration and increase triglycerides [25]. But quality of the carbohydrate may also be important in this regard. HDL cholesterol has been found to correlate with the glycemic index of the diet in different countries and population groups [26–28]. In a cross-sectional study of middle- aged British adults, the glycemic index was the only dietary variable significantly related to serum HDL cholesterol and a stronger predictor than dietary fat [29]. Using data from nearly 14 000 Americans in the Third National Health and Nutrition Examination Survey, Ford and Liu [28] found an inverse relationship between glycemic index and glycemic load and HDL cholesterol across all subgroups of participants categorized by sex or BMI. Dietary glycemic load has also been directly related to fasting triglyceride levels. In a subgroup of 185 healthy post-menopausal women from the NHS, both glycemic index and carbohydrate contributed independently to a strong positive association between glycemic load and fasting triglycerides [27]. The relationship was steeper and stronger in those with a higher BMI. For the lowest and highest quintiles of glycemic load, the mean triglycerides were 0.92 and 2.24 mM in the women with BMI greater than 25, and 1.02 and 1.42 in women with BMI less than or equal to 25. In this same cohort, glycemic load was also associated with increasing levels of C-reactive protein (CRP), a measure of chronic low-grade inflammation [30]. In obese subjects, Harbis et al. [31•] found that high glycemic index carbohydrates create a detrimental postprandial pattern in triglyceride-rich lipoproteins derived from both hepatic and intestinal sources. These data support the physiological relevance of glycemic load, particularly in those prone to insulin resistance. Diets with a high glycemic index or glycemic load appear to influence the development of the metabolic syndrome. In the Framingham Offspring Study [32•], the relative risk of having the syndrome using the ATP1 criteria was 1.41 comparing highest and lowest quintiles of glycemic index, independently of dietary fiber intake. Total carbohydrate and glycemic load, however, were not associated with prevalence of the metabolic syndrome. Hyperinsulinemia itself, the compensatory response to PPG in the presence of insulin resistance, may contribute directly to the pathogenesis of CVD. In the Framingham offspring study, homeostasis model assessment (HOMA)-insulin resistance was associated with increasing glycemic index [32•] and similarly, in a group of healthy children, fasting insulin was predicted by the glycemic index of the overall diet [33•]. Intervention studies using low glycemic index diets Several short-term clinical trials in healthy and normoglycemic, high-risk individuals provide direct evidence that diets with a low glycemic index improve hyperlipidemia and insulin sensitivity. In hyperlipidemic patients without diabetes, 's group [34] demonstrated that 4 weeks on a low glycemic index diet could reduce total cholesterol and LDL cholesterol by around 10% and triglycerides by around 20% in comparison with a macronutrient and fiber-matched high glycemic index diet. HDL levels, however, remained unchanged. Frost's group extended these findings in women with advanced CVD awaiting bypass surgery. Glucose tolerance and insulin sensitivity improved after 4 weeks on a low glycemic index diet (versus the high glycemic index diet) as judged by the insulin area under the curve in response to a glucose challenge [35]. In overweight, middle-aged men, Brynes et al. [11••] showed that postprandial HOMA-insulin resistance increased significantly more on a high glycemic index diet (+31%) than a macronutrient-matched low glycemic index diet (-43%). Similarly, Patel et al. [36•] demonstrated improved glucose tolerance and postprandial glycemia and insulin in men scheduled for bypass surgery. In this study, length of hospital stay after surgery was shortened significantly in the group randomized to the low glycemic index diet versus the high glycemic index diet (7.1 versus 9.5 days). Low glycemic index diets have also resulted in improved lipid metabolism in healthy, overweight individuals consuming high- carbohydrate foods ad libitum. After a 10-week energy-restricted intervention, Sloth et al. [37••] demonstrated no differences in weight loss between the high and low glycemic index groups, but significant decreases in LDL cholesterol on the low glycemic index diet. Low glycemic index diets also have improved glucose and lipid metabolism in patients with diabetes. A recent meta-analysis found a significant reduction in total and LDL cholesterol in individuals with type 2 diabetes but no effect on triglycerides and HDL cholesterol [38••]. Intervention studies using drugs that specifically target PPG provide direct evidence that elevated blood glucose levels affect CVD endpoints in individuals without diabetes. In the STOP-NIDDM study, for example, patients with IGT who had been randomized to acarbose (an [alpha]-glucosidase inhibitor that slows carbohydrate absorption) had half the risk of a cardiovascular event or hypertension over the 3-year period compared with those given the placebo [39••]. Furthermore, annual progression of intima-media thickness was significantly reduced in the acarbose-treated group by around 50% [40•]. This is an important study in the present context because the mechanism of action can only be ascribed to the slowing of carbohydrate absorption and consequent reduction in PPG – a property analogous to that of low glycemic index foods. Thus, while it is possible that low glycemic index foods improve risk by virtue of their wholegrain nature, fiber or micronutrient content, the slowing of carbohydrate absorption per se is probably their most important attribute. Glycemic index and weight control There is increasing evidence that the glycemic index has implications for weight control and therefore for CVD. In particular, wide fluctuations in blood glucose and insulin levels have been linked to appetite stimulation in human and animal studies [41]. In one-day studies, meals containing low glycemic index carbohydrate have been found to enhance satiety and reduce total energy intake at the following meal [42,43]. High glycemic index meals have also been associated with reduced fat oxidation at rest and during exercise [44,45] and lower metabolic rate during and after weight loss [46]. A limited number of controlled trials demonstrate faster or more sustained weight loss on low glycemic index diets [47–49]. We recently completed a study in 129 young overweight volunteers comparing four diets of varying glycemic load (i.e. they varied in both glycemic index and carbohydrate content but not fat) over a 12- week period. Most foods were supplied but the amount eaten was at the discretion of the individual. The findings indicate that body fat loss was enhanced on both the low glycemic index (55% energy as carbohydrate, 15% protein) and the lower-carbohydrate (45% carbohydrate, 25% protein) diet compared with the conventional low- fat diet. Improvements in lipid metabolism, however, were significantly greater in the low glycemic index group than in any other groups. These findings are broadly consistent with recent studies of very low carbohydrate diets. Reducing the glycemic load of the diet by severe restriction in carbohydrate intake results in faster rates of weight loss in the first 6 months and improved lipid profiles at 12 months, even after adjustment for differences in weight loss [50•, 51••]. However, because very low carbohydrate diets are unavoidably high in total and saturated fat, there may be long- term cardiovascular implications. In contrast, there are no such concerns in respect of high-carbohydrate, low glycemic index diets. Because manipulation of a diet's glycemic index can produce changes in potentially confounding dietary factors, such as fiber content, palatability and energy density, its relevance to health remains controversial. In this context, long-term studies in animals provide additional evidence that low glycemic index is important in relation to weight gain, body fat and diabetes risk. Animals fed identical diets differing only in the type of starch (high or low glycemic index) gain body fat faster on the high glycemic index diet [52••]. Even when fed to similar body weight, the high glycemic index- fed rats had more body fat (+71%), less lean body mass and higher plasma triglyceride concentrations. In addition, high glycemic index feeding was associated with significant disruption of [beta]-cell architecture after only 18 weeks. Mechanisms of hyperglycemia-induced endothelial damage Several molecular mechanisms have been implicated in glucose- mediated vascular damage. All appear to reflect a single hyperglycemia-induced process of overproduction of superoxide by the mitochondrial electron-transport chain. The vascular endothelium is a prime target because endothelial cells, unlike many other cells in the body, are unable to regulate glucose transport across the cell membrane [53]. Normal levels of glycemia encountered during an oral glucose tolerance test or standard meal have been shown to acutely decrease plasma antioxidant capacity, reflecting a significant level of oxidative stress [54•]. Damage to the endothelium caused by high blood glucose levels may play an important role in the development of atherosclerosis. Upregulation of inflammatory transcription factors such as nuclear factor-[kappa]B is an early marker of endothelial dysfunction [55,56•]. Moderately elevated CRP, a sensitive surrogate marker for low-level inflammation, has been linked to insulin resistance, obesity and hyperglycemia [57•], and more recently to the glycemic index and glycemic load of the diet. In 244 healthy, middle- aged women, a high dietary glycemic load independently predicted elevated plasma concentrations of CRP with a two-fold increase comparing the lowest and the highest quintiles [30]. In lean young volunteer studies, we found the strongest independent predictor of fasting CRP concentration was the 120 min blood glucose levels following a carbohydrate challenge (S. Dickinson, J. Brand-, unpublished data). Conclusion Taken together, observational, interventional and experimental studies suggest that nondiabetic levels of postprandial glycemia may play a greater role in CVD than is generally acknowledged. Rapidly absorbed carbohydrates and diets with a high glycemic load lead to the highest levels of postprandial blood glucose. Recommendations to reduce saturated fat and increase carbohydrate intake have inadvertently encouraged greater consumption of high glycemic index foods and thereby increased day-long glycemia. The evidence that this may be harmful is stronger in individuals with higher BMI, insulin resistance or impaired glucose tolerance. However, even so-called normal levels of post-meal glycemia may not be as benign as we take for granted. It may therefore be timely to give greater consideration to the glycemic potential (glycemic index) of dietary carbohydrate in dietary recommendations. Current emphasis on increasing wholegrains and restriction of sugar, although helpful from a micronutrient point of view, is unlikely to improve glycemia. Furthermore, it may alienate and discourage some consumers from adopting more effective dietary strategies to reduce the risk of chronic disease. Encouraging greater consumption of low glycemic index foods, however, will require local and brand-specific knowledge of the glycemic index of breads, breakfast cereals, rices and other cereal products. References and recommended reading Papers of particular interest, published within the annual period of review, have been highlighted as: • of special interest •• of outstanding interest 1• Gross L, Li L, Ford E, Liu S. Increased consumption of refined carbohydrates and the epidemic of type 2 diabetes in the United States: an ecologic assessment. Am J Clin Nutr 2004; 79:774–779. This ecological correlation study confirms that the American diet has increased dramatically in refined carbohydrate. The analysis revealed a positive significant association between refined carbohydrate and prevalence of type 2 diabetes. [Context Link] 2• Schulze M, Liu S, Rimm E, et al. Glycemic index, glycemic load, and dietary fiber intake and incidence of type 2 diabetes in younger and middle-aged women. Am J Clin Nutr 2004; 80:348–356. This follow- up study examined a cohort from the Nurses' Health Study II and found that after adjusting for common confounders, glycemic index was significantly associated with increasing risk for diabetes while cereal fiber was associated with a decrease risk. [Context Link] 3 Liu S, Willett W, Stampfer M, et al. A prospective study of dietary glycemic load, carbohydrate intake, and risk of coronary heart disease in US women. Am J Clin Nutr 2000; 71:1455–1461. Bibliographic Links [Context Link] 4 - K, Holt SH, Brand- JC. International table of glycemic index and glycemic load values. Am J Clin Nutr 2002; 76:5– 56. Bibliographic Links [Context Link] 5 Augustin L, Franceschi S, D, et al. Glycemic index in chronic disease: a review. Eur J Clin Nutr 2002; 56:1049–1071. Bibliographic Links [Context Link] 6•• Sheard N, N, Brand- J, et al. Dietary Carbohydrate (amount and type) in the Prevention and Management of Diabetes: A statement by the American Diabetes Association. Diabetes Care 2004; 27:2266–2271. This important statement by the American Diabetes Association acknowledges the use of the glycemic index as a means to help regulate blood glucose levels, offering additional benefits over simply considering total dietary carbohydrate alone. [Context Link] 7 D, Zimmet P, Welborn T, et al. The rising prevalence of diabetes and impaired glucose tolerance: the Australian Diabetes, Obesity and Lifestyle Study. Diabetes Care 2002; 25:829–834. Bibliographic Links [Context Link] 8• Wild S, Roglic G, Green A, et al. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 2004; 27:1047–1053. This study reports on the current global epidemic of diabetes. New data and methods are used to estimate age-specific prevalence across 191 World Health Organization member states for the year 2000 and 2030. [Context Link] 9 Treuth M, Sunehag A, Trautwein L, et al. Metabolic adaptation to high-fat and high-carbohydrate diets in children and adolescents. Am J Clin Nutr 2003; 77:479–489. Bibliographic Links [Context Link] 10• Atkinson F, McMillan-Price J, Petocz P, Brand- J. Physiological validation of the concept of glycemic load in mixed meals over 10 hours in overweight females. Proc Nutr Soc Aust 2004; 13:S42. This intervention, crossover study examined day-long glucose and insulin responses from four isoenergetic reduced fat diets. The glycemic load of the mixed meals produced predictable orders of response. [Context Link] 11•• Brynes A, Mark EC, Ghatei M, et al. A randomised four- intervention crossover study investigating the effect of carbohydrates on daytime profiles of insulin, glucose, non-esterified fatty acids and triacylglycerols in middle-aged men. Br J Nutr 2003; 89:207–218. Buy Now Bibliographic Links This intervention crossover study of four different diets provides strong evidence that CVD risk factors can be reduced through dietary manipulation. Significant weight loss and the most favorable postprandial profile occurred on a low glycemic index diet while a high glycemic index diet increased postprandial insulin resistance. [Context Link] 12 Haffner S, Cassells H. Hyperglycemia as a cardiovascular risk factor. Am J Med 2003; 115(Suppl 8A):6S–11S. [Context Link] 13 UK Prospective Diabetes Study Group. Tight blood pressure control and risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 38. BMJ 1998; 317:703–713. [Context Link] 14 Schmitz O, Juhl C, Lund S, et al. HbA1c does not reflect prandial plasma glucose excursions in type 2 diabetes. Diabetes Care 2000; 23:1859–1860. Bibliographic Links [Context Link] 15 The DECODE Study Group. Glucose tolerance and mortality: comparison of WHO and American Diabetes Association diagnostic criteria. European Diabetes Epidemiology Group. Diabetes Epidemiology: Collaborative analysis Of Diagnostic criteria in Europe. Lancet 1999; 354:617–621. [Context Link] 16 Meigs J, D, D'Agostino R, P. Fasting and postchallenge glycemia and cardiovascular disease risk: the Framingham Offspring Study. Diabetes Care 2002; 25:1845–1850. [Context Link] 17•• Levitan E, Song Y, Ford E, Liu S. Is nondiabetic hyperglycemia a risk factor for cardiovascular disease? A meta-analysis of prospective studies. Arch Intern Med 2004; 164:2147–2155. An excellent meta-analysis of 39 reports providing strong evidence that higher postchallenge blood glucose levels increase the risk for CVD in individuals without diabetes. Interestingly the association was greater in women than in men. [Context Link] 18 Temelkova-Kurktschiev T, Koehler C, Henkel E, et al. Postchallenge plasma glucose and glycemic spikes are more strongly associated with atherosclerosis than fasting glucose or HbA1c level. Diabetes Care 2000; 23:1830–1834. Bibliographic Links [Context Link] 19 Hanefeld M, Koehler C, Schaper F, et al. Postprandial plasma glucose is an independent risk factor for increased carotid intima- media thickness in non-diabetic individuals. Atherosclerosis 1999; 144:229–235. Bibliographic Links [Context Link] 20•• nsen L, Jenssen T, Joakimsen O, et al. Glycated hemoglobin level is strongly related to the prevalence of carotid artery plaques with high echogenicity in nondiabetic individuals: the Tromso study. Circulation 2004; 110:466–470. This study is the first to report on the relationship between glycated hemoglobin and carotid intima-media thickness, a surrogate measure for atherosclerosis. HbA1c was related significantly to hard carotid plaques. The relationship was a continuous one across increasing HbA1c levels. [Context Link] 21 Brand- J, M, Swan V, et al. Physiological validation of the concept of glycemic load in lean young adults. J Nutr 2003; 133:2728–2732. [Context Link] 22 Liu S, Stampfer M, Hu F, et al. Whole-grain consumption and risk of coronary heart disease: results from the Nurses' Health Study. Am J Clin Nutr 1999; 70:412–419. Bibliographic Links [Context Link] 23 van Dam R, Visscher A, Feskens E, et al. Dietary glycemic index in relation to metabolic risk factors and incidence of coronary heart disease: the Zutphen Elderly Study. Eur J Clin Nutr 2000; 54:726–731. Bibliographic Links [Context Link] 24 Tavani A, Bosetti C, Negri E, et al. Carbohydrates, dietary glycaemic load and glycaemic index, and risk of acute myocardial infarction. Heart 2003; 89:722–726. [Context Link] 25 Garg A. High-monounsaturated-fat diets for patients with diabetes mellitus: a meta-analysis. Am J Clin Nutr 1998; 67:577S–582S. Bibliographic Links [Context Link] 26 Buyken A, Toeller M, Heitkamp G, et al. Glycemic index in the diet of European outpatients with type 1 diabetes: relations to glycated hemoglobin and serum lipids. Am J Clin Nutr 2001; 73:574–581. Bibliographic Links [Context Link] 27 Liu S, Manson J, Stampfer M, et al. Dietary glycemic load assessed by food-frequency questionnaire in relation to plasma high-density- lipoprotein cholesterol and fasting plasma triacylglycerols in postmenopausal women. Am J Clin Nutr 2001; 73:560–566. Bibliographic Links [Context Link] 28 Ford E, Liu S. Glycemic index and serum high-density lipoprotein cholesterol concentration among US adults. Arch Intern Med 2001; 161:572–576. Bibliographic Links [Context Link] 29 Frost G, Leeds A, Dore C, et al. Glycaemic index as a determinant of serum HDL-cholesterol concentration. Lancet 1999; 353:1045–1048. Bibliographic Links [Context Link] 30 Liu S, Manson J, Buring J, et al. Relation between a diet with a high glycemic load and plasma concentrations of high-sensitivity C- reactive protein in middle-aged women. Am J Clin Nutr 2002; 75:492– 498. Bibliographic Links [Context Link] 31• Harbis A, Perdreau S, -Baudry S, et al. Glycemic and insulinemic meal responses modulate postprandial hepatic and intestinal lipoprotein accumulation in obese, insulin-resistant subjects. Am J Clin Nutr 2004; 80:896–902. This study demonstrated the postprandial lipid-lowering effect of slowly digested carbohydrate in obese, insulin-resistant patients. Triglyceride-rich lipoproteins derived both hepatically and intestinally were reduced following the low glycemic index food. [Context Link] 32• McKeown N, Meigs J, Liu S, et al. Carbohydrate nutrition, insulin resistance, and the prevalence of the metabolic syndrome in the Framingham Offspring Cohort. Diabetes Care 2004; 27:538–546. Bibliographic Links An excellent study showing that dietary glycemic index and glycemic load are associated with lower insulin resistance (HOMA-IR). The association between glycemic index, glycemic load and insulin resistance remained after adjusting for cereal fiber and whole-grain intake. [Context Link] 33• Scaglioni S, Stival G, Giovannini M. Dietary glycemic load, overall glycemic index, and serum insulin concentrations in healthy schoolchildren. Am J Clin Nutr 2004; 79:339–340. This study examined dietary glycemic load and overall glycemic index in a population of young children. While no significant associations between glycemic index, glycemic load and BMI were noted the overall glycemic index was positively associated with serum insulin concentrations. [Context Link] 34 D, Wolever T, Kalmusky J, et al. Low-glycemic index diet in hyperlipidemia: use of traditional starchy foods. Am J Clin Nutr 1987; 46:66–71. Bibliographic Links [Context Link] 35 Frost G, Leeds A, Trew G, et al. Insulin sensitivity in women at risk of coronary heart disease and the effect of a low glycemic diet. Metabolism 1998; 47:1245–1251. Bibliographic Links [Context Link] 36• Patel V, Aldridge R, Leeds A, et al. Retrospective analysis of the impact of a low glycaemic index diet on hospital stay following coronary artery bypass grafting: a hypothesis. J Hum Nutr Diet 2004; 17:241–247. This retrospective study found that hospital patients consuming a low glycemic index diet prior to surgery were more insulin sensitive and had improved postprandial glycemia. Length of hospital stay was significantly reduced in this group. [Context Link] 37•• Sloth B, Krog-Mikkelsen I, Flint A, et al. No difference in body weight decrease between a low-glycemic-index and a high-glycemic- index diet but reduced LDL cholesterol after 10-wk ad libitum intake of the low-glycemic-index diet. Am J Clin Nutr 2004; 80:337–347. An excellent study that investigated the long-term effects of a low-fat, high-carbohydrate diet with either low or high glycemic index carbohydrate treatments. Interestingly, while there was no difference in weight loss between the groups, LDL cholesterol was reduced on the low glycemic index diet. [Context Link] 38•• Opperman A, Venter C, Oosthuizen W, et al. Meta-analysis of the health effects of using the glycaemic index in meal-planning. Br J Nutr 2004; 92:367–381. A meta-analysis of 16 research papers supporting the use of glycemic index for total cholesterol reduction and the improvement of metabolic control for people with diabetes. [Context Link] 39•• Chiasson J, Josse R, Gomis R, et al. Acarbose treatment and the risk of cardiovascular disease and hypertension in patients with impaired glucose tolerance: the STOP-NIDDM trial. JAMA 2003; 290:486– 494. An important intervention study producing direct evidence for the first time that reducing postprandial hyperglycemia, by slowing carbohydrate absorption in the gut (and thus mimicking the effect of low glycemic index carbohydrate), substantially reduces the risk for cardiovascular events among patients with IGT even after adjusting for conventional risk factors. [Context Link] 40• Hanefeld M, Chiasson J, Koehler C, et al. Acarbose slows progression of intima-media thickness of the carotid arteries in subjects with impaired glucose tolerance. Stroke 2004; 35:1073–1078. This study also involved participants from the STOP-NIDDM trial. The authors went a step further from the above work and found that acarbose treatment was associated with a 50% annual reduction in the progression of intima-media thickening, a surrogate marker for atherosclerosis. [Context Link] 41 Campfield L, F. Blood glucose dynamics and control of meal initiation: a pattern detection and recognition theory. Physiol Rev 2003; 83:25–58. Bibliographic Links [Context Link] 42 Ludwig D. Dietary glycemic index and obesity. J Nutr 2000; 130:280S–283S. Bibliographic Links [Context Link] 43 Warren J, Henry C, Simonite V. Low glycemic index breakfasts and reduced food intake in preadolescent children. Pediatrics 2003; 112:e414. [Context Link] 44 Febbraio M, Keenan J, Angus D, et al. Preexercise carbohydrate ingestion, glucose kinetics, and muscle glycogen use: effect of the glycemic index. J Appl Physiol 2000; 89:1845–1851. Bibliographic Links [Context Link] 45 Kirwan J, Cyr- D, W, et al. Effects of moderate and high glycemic index meals on metabolism and exercise performance. Metabolism 2001; 50:849–855. Bibliographic Links [Context Link] 46 Agus M, Swain J, Larson C, et al. Dietary composition and physiologic adaptations to energy restriction. Am J Clin Nutr 2000; 71:901–907. Bibliographic Links [Context Link] 47 Bouche C, Rizkalla S, Luo J, et al. Five-week, low-glycemic index diet decreases total fat mass and improves plasma lipid profile in moderately overweight nondiabetic men. Diabetes Care 2002; 25:822– 828. Bibliographic Links [Context Link] 48 Ebbeling C, Leidig M, Sinclair K, et al. A reduced-glycemic load diet in the treatment of adolescent obesity. Arch Pediatr Adolesc Med 2003; 157:773–779. Bibliographic Links [Context Link] 49 Spieth L, Harnish J, Lenders C, et al. A low-glycemic index diet in the treatment of pediatric obesity. Arch Pediatr Adolesc Med 2000; 154:947–951. Bibliographic Links [Context Link] 50• Stern L, Iqbal N, Seshadri P, et al. 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; 140:778–785. Bibliographic Links This randomized trial compared weight loss in severely obese patients consuming a conventional weight loss diet versus a low-carbohydrate diet over a 1-year period. Although drop out rates were high and the results may not be applicable to moderately overweight individuals, the low-carbohydrate diet produced greater weight loss and a more favorable blood lipid profile. [Context Link] 51•• Yancy W, Olsen M, Guyton J, et al. A low-carbohydrate, ketogenic diet versus a low-fat diet to treat obesity and hyperlipidemia: a randomized, controlled trial. Ann Intern Med 2004; 140:769–777. This well controlled intervention study shows that a low-carbohydrate diet seems to be more effective for treating obesity and hyperlipidemia compared with a conventional low-fat approach over a 24-week period. LDL cholesterol, however, was slightly higher on the low-carbohydrate diet. = http://tinyurl.com/4fxzj 52•• Pawlak DB, Kushner JA, Ludwig DS. Effects of dietary glycaemic index on adiposity, glucose homoeostasis, and plasma lipids in animals. The Lancet 2004; 364:778–785. A very well designed and controlled animal study demonstrating the beneficial effects of a low versus high glycemic index diet on body composition and risk factors for diabetes and cardiovascular disease. The strengths lie in their controlling of potential confounding factors that arise through manipulation of dietary glycemic index. Macronutrient, micronutrient and fiber content were identical in the two diets while food amounts were adjusted to maintain the same mean body weight in the groups. [Context Link] 53 Brownlee M. Biochemistry and molecular cell biology of diabetic complications. Nature 2001; 414:813–820. [Context Link] 54• Ceriello A, Hanefeld M, Leiter L, et al. Postprandial glucose regulation and diabetic complications. Arch Intern Med 2004; 164:2090– 2095. An excellent review which argues that total glycemic exposure via postprandial hyperglycemia plays an independent role in vascular damage in people with diabetes. [Context Link] 55 Schmidt A, Stern D. Hyperinsulinemia and vascular dysfunction: the role of nuclear factor-kappaB, yet again. Circ Res 2000; 87:722–724. Ovid Full Text Bibliographic Links [Context Link] 56• Kumar A, Takada Y, Boriek A, Aggarwal B. Nuclear factor-kappaB: its role in health and disease. J Mol Med 2004; 82:434–448. An excellent review of the transcription factor nuclear factor-[kappa]B. The authors discuss its physiological role in health and in a number of human diseases. [Context Link] 57• Verma S, Chao-HungWang, Weisel RD, et al. Hyperglycemia potentiates the proatherogenic effects of C-reactive protein: reversal with rosiglitazone. J Mol Cell Cardiol 2003; 35:417–419. Bibliographic Links In this study, endothelial cells incubated with CRP produced proatherogenic effects which were significantly amplified under hyperglycemic conditions. Quote Link to comment Share on other sites More sharing options...
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