182 research outputs found

    Nutrition and Diet Factors in Type 2 Diabetes

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    We are experiencing a worldwide epidemic of diabetes. Diabetes mellitus has become a major public health burden. Approximately seven million people develop diabetes in both developed and developing countries every year, with the most dramatic increases occurring in Type 2 Diabetes. Especially alarming, is the rising incidence of Type 2 Diabetes in obese children before puberty. In April 2017, a Special Issue of Nutrients entitled “Nutrition and Diet Factors in Type 2 Diabetes” closed with 19 published papers—eight original studies on humans, five on animals, one brief report and five reviews. The focus of the issue was on nutrition, diet factors, whole foods, broad dietary and lifestyle strategies, dietary patterns, intensive personalized treatments, nutritional prevention programs, and food policies that can be used in the development, treatment, and prevention of DM2. Nutrition and Diet Factors in Type 2 Diabetes is written for clinical and academic nutritionists, for registered dietitians, health professionals, graduate students, and for everybody with deeper interest in diabetes care. Studies and reviews presented here demonstrate that diabetes research is extensive and vibrant and the prevention, treatment and reversal of diabetes are achievable, economical, powerful, and possible

    Cardio-Metabolic Benefits of Plant-Based Diets.

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    Cardio-metabolic disease, namely ischemic heart disease, stroke, obesity, and type 2 diabetes, represent substantial health and economic burdens. Almost one half of cardio-metabolic deaths in the U.S. might be prevented through proper nutrition. Plant-based (vegetarian and vegan) diets are an effective strategy for improving nutrient intake. At the same time, they are associated with decreased all-cause mortality and decreased risk of obesity, type 2 diabetes, and coronary heart disease. Evidence suggests that plant-based diets may reduce the risk of coronary heart disease events by an estimated 40% and the risk of cerebral vascular disease events by 29%. These diets also reduce the risk of developing metabolic syndrome and type 2 diabetes by about one half. Properly planned vegetarian diets are healthful, effective for weight and glycemic control, and provide metabolic and cardiovascular benefits, including reversing atherosclerosis and decreasing blood lipids and blood pressure. The use of plant-based diets as a means of prevention and treatment of cardio-metabolic disease should be promoted through dietary guidelines and recommendations

    A Plant-Based Dietary Intervention Improves Beta-Cell Function and Insulin Resistance in Overweight Adults: A 16-Week Randomized Clinical Trial.

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    The aim of this study was to test the effect of a plant-based dietary intervention on beta-cell function in overweight adults with no history of diabetes. Participants (n = 75) were randomized to follow a low-fat plant-based diet (n = 38) or to make no diet changes (n = 37) for 16 weeks. At baseline and 16 weeks, beta-cell function was quantified with a mathematical model. Using a standard meal test, insulin secretory rate was calculated by C-peptide deconvolution. The Homeostasis Model Assessment (HOMA-IR) index was used to assess insulin resistance while fasting. A marked increase in meal-stimulated insulin secretion was observed in the intervention group compared with controls (interaction between group and time, Gxt, p \u3c 0.001). HOMA-IR index fell significantly (p \u3c 0.001) in the intervention group (treatment effect −1.0 (95% CI, −1.2 to −0.8); Gxt, p = 0.004). Changes in HOMA-IR correlated positively with changes in body mass index (BMI) and visceral fat volume (r = 0.34; p = 0.009 and r = 0.42; p = 0.001, respectively). The latter remained significant after adjustment for changes in BMI (r = 0.41; p = 0.002). Changes in glucose-induced insulin secretion correlated negatively with BMI changes (r = −0.25; p = 0.04), but not with changes in visceral fat. Beta-cell function and insulin sensitivity were significantly improved through a low-fat plant-based diet in overweight adult

    The Effects of Vegetarian and Vegan Diets on Gut Microbiota

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    The difference in gut microbiota composition between individuals following vegan or vegetarian diets and those following omnivorous diets is well documented. A plant-based diet appears to be beneficial for human health by promoting the development of more diverse and stable microbial systems. Additionally, vegans and vegetarians have significantly higher counts of certain Bacteroidetes-related operational taxonomic units compared to omnivores. Fibers (that is, non-digestible carbohydrates, found exclusively in plants) most consistently increase lactic acid bacteria, such as Ruminococcus, E. rectale, and Roseburia, and reduce Clostridium and Enterococcus species. Polyphenols, also abundant in plant foods, increase Bifidobacterium and Lactobacillus, which provide anti-pathogenic and anti-inflammatory effects and cardiovascular protection. High fiber intake also encourages the growth of species that ferment fiber into metabolites as short-chain fatty acids (SCFAs), including acetate, propionate, and butyrate. The positive health effects of SCFAs are myriad, including improved immunity against pathogens, blood–brain barrier integrity, provision of energy substrates, and regulation of critical functions of the intestine. In conclusion, the available literature suggests that a vegetarian/vegan diet is effective in promoting a diverse ecosystem of beneficial bacteria to support both human gut microbiome and overall health. This review will focus on effects of different diets and nutrient contents, particularly plant-based diets, on the gut microbiota composition and production of microbial metabolites affecting the host health

    Impact of short-term dietary modification on postprandial oxidative stress

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    <p>Abstract</p> <p>Background</p> <p>We have recently reported that short-term (21-day) dietary modification in accordance with a stringent vegan diet (i.e., a Daniel Fast) lowers blood lipids as well as biomarkers of oxidative stress. However, this work only involved measurements obtained in a fasted state. In the present study, we determined the postprandial response to a high-fat milkshake with regards to blood triglycerides (TAG), biomarkers of oxidative stress, and hemodynamic variables before and following a 21-day Daniel Fast.</p> <p>Methods</p> <p>Twenty-two subjects (10 men and 12 women; aged 35 ± 3 years) completed a 21-day Daniel Fast. To induce oxidative stress, a milkshake (fat = 0.8 g·kg<sup>-1</sup>; carbohydrate = 1.0 g·kg<sup>-1</sup>; protein = 0.25 g·kg<sup>-1</sup>) was consumed by subjects on day one and day 22 in a rested and 12-hour fasted state. Before and at 2 and 4 h after consumption of the milkshake, heart rate (HR) and blood pressure were measured. Blood samples were also collected at these times and analyzed for TAG, malondialdehyde (MDA), hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>), advanced oxidation protein products (AOPP), nitrate/nitrite (NOx), and Trolox Equivalent Antioxidant Capacity (TEAC).</p> <p>Results</p> <p>A time effect was noted for HR (<it>p </it>= 0.006), with values higher at 2 hr post intake of the milkshake as compared to pre intake (<it>p </it>< 0.05). Diastolic blood pressure was lower post fast as compared to pre fast (<it>p </it>= 0.02), and a trend for lower systolic blood pressure was noted (<it>p </it>= 0.07). Time effects were noted for TAG (<it>p </it>= 0.001), MDA (<it>p </it>< 0.0001), H<sub>2</sub>O<sub>2 </sub>(<it>p </it>< 0.0001), AOPP (<it>p </it>< 0.0001), and TEAC (<it>p </it>< 0.0001); all concentrations were higher at 2 h and 4 h post intake compared to pre intake, except for TEAC, which was lower at these times (<it>p </it>< 0.05). A condition effect was noted for NOx (<it>p </it>= 0.02), which was higher post fast as compared to pre fast. No pre/post fast × time interactions were noted (<it>p </it>> 0.05), with the area under the curve from pre to post fast reduced only slightly for TAG (11%), MDA (11%), H<sub>2</sub>O<sub>2 </sub>(8%), and AOPP (12%), with a 37% increase noted for NOx.</p> <p>Conclusion</p> <p>Partaking in a 21-day Daniel Fast does not result in a statistically significant reduction in postprandial oxidative stress. It is possible that a longer time course of adherence to the Daniel Fast eating plan may be needed to observe significant findings.</p

    Clinical trials that utilize MRS as a biomarker

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    Magnetic resonance spectroscopy (MRS) is an ideal tool for therapeutic monitoring in clinical trials although its role has not been formally examined. An initial search for the use of MRS in a clinical trials database showed 488 studies; however, many are ongoing and limited information is available about them. Therefore, the results were cross-referenced with the scientific literature to find those studies that have been completed and have produced peer-reviewed publications. This yielded 61 studies, demonstrating that MRS is actively used in clinical trials. Its most frequent use is to study hepatic lipid content. This is followed by studies of skeletal muscle, using both proton and phosphorous MRS, and finally the brain, which surprisingly was the subject of only 15% of the total MRS studies found. A review and summary of these studies is provided to better understand how MRS is used in clinical trials, and to assess its importance as a noninvasive and quantitative biomarker for disease

    Myocyte membrane and microdomain modifications in diabetes: determinants of ischemic tolerance and cardioprotection

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    Error in the Results and eTable 2 in Supplement 2

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    Effects of a Low-Fat Vegan Diet on Gut Microbiota in Overweight Individuals and Relationships with Body Weight, Body Composition, and Insulin Sensitivity. A Randomized Clinical Trial

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    Diet modulates gut microbiota and plays an important role in human health. The aim of this study was to test the effect of a low-fat vegan diet on gut microbiota and its association with weight, body composition, and insulin resistance in overweight men and women. We enrolled 168 participants and randomly assigned them to a vegan (n = 84) or a control group (n = 84) for 16 weeks. Of these, 115 returned all gut microbiome samples. Gut microbiota composition was assessed using uBiome Explorer&trade; kits. Body composition was measured using dual energy X-ray absorptiometry. Insulin sensitivity was quantified with the predicted clamp-derived insulin sensitivity index from a standard meal test. Repeated measure ANOVA was used for statistical analysis. Body weight decreased in the vegan group (treatment effect &minus;5.9 kg [95% CI, &minus;7.0 to &minus;4.9 kg]; p &lt; 0.001), mainly due to a reduction in fat mass (&minus;3.9 kg [95% CI, &minus;4.6 to &minus;3.1 kg]; p &lt; 0.001) and in visceral fat (&minus;240 cm3 [95% CI, &minus;345 to &minus;135 kg]; p &lt; 0.001). PREDIcted M, insulin sensitivity index (PREDIM) increased in the vegan group (treatment effect +0.83 [95% CI, +0.48 to +1.2]; p &lt; 0.001). The relative abundance of Faecalibacterium prausnitzii increased in the vegan group (+5.1% [95% CI, +2.4 to +7.9%]; p &lt; 0.001) and correlated negatively with changes in weight (r = &minus;0.24; p = 0.01), fat mass (r = &minus;0.22; p = 0.02), and visceral fat (r = &minus;0.20; p = 0.03). The relative abundance of Bacteroides fragilis decreased in both groups, but less in the vegan group, making the treatment effect positive (+18.9% [95% CI, +14.2 to +23.7%]; p &lt; 0.001), which correlated negatively with changes in weight (r = &minus;0.44; p &lt; 0.001), fat mass (r = &minus;0.43; p &lt; 0.001), and visceral fat (r = &minus;0.28; p = 0.003) and positively with PREDIM (r = 0.36; p &lt; 0.001), so a smaller reduction in Bacteroides fragilis was associated with a greater loss of body weight, fat mass, visceral fat, and a greater increase in insulin sensitivity. A low-fat vegan diet induced significant changes in gut microbiota, which were related to changes in weight, body composition, and insulin sensitivity in overweight adults, suggesting a potential use in clinical practice
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