51 research outputs found

    Control of blood glucose in type 2 diabetes without weight loss by modification of diet composition

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    BACKGROUND: Over the past several years our research group has taken a systematic, comprehensive approach to determining the effects on body function (hormonal and non-hormonal) of varying the amounts and types of proteins, carbohydrates and fats in the diet. We have been particularly interested in the dietary management of type 2 diabetes. Our objective has been to develop a diet for people with type 2 diabetes that does not require weight loss, oral agents, or insulin, but that still controls the blood glucose concentration. Our overall goal is to enable the person with type 2 diabetes to control their blood glucose by adjustment in the composition rather than the amount of food in their diet. METHODS: This paper is a brief summary and review of our recent diet-related research, and the rationale used in the development of diets that potentially are useful in the treatment of diabetes. RESULTS: We determined that, of the carbohydrates present in the diet, absorbed glucose is largely responsible for the food-induced increase in blood glucose concentration. We also determined that dietary protein increases insulin secretion and lowers blood glucose. Fat does not significantly affect blood glucose, but can affect insulin secretion and modify the absorption of carbohydrates. Based on these data, we tested the efficacy of diets with various protein:carbohydrate:fat ratios for 5 weeks on blood glucose control in people with untreated type 2 diabetes. The results were compared to those obtained in the same subjects after 5 weeks on a control diet with a protein:carbohydrate:fat ratio of 15:55:30. A 30:40:30 ratio diet resulted in a moderate but significant decrease in 24-hour integrated glucose area and % total glycohemoglobin (%tGHb). A 30:20:50 ratio diet resulted in a 38% decrease in 24-hour glucose area, a reduction in fasting glucose to near normal and a decrease in %tGHb from 9.8% to 7.6%. The response to a 30:30:40 ratio diet was similar. CONCLUSION: Altering the diet composition could be a patient-empowering method of improving the hyperglycemia of type 2 diabetes without weight loss or pharmacologic intervention

    Hormonal response to lipid and carbohydrate meals during the acute postprandial period

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    <p>Abstract</p> <p>Background</p> <p>Optimizing the hormonal environment during the postprandial period in favor of increased anabolism is of interest to many active individuals. Data are conflicting regarding the acute hormonal response to high fat and high carbohydrate feedings. Moreover, to our knowledge, no studies have compared the acute hormonal response to ingestion of lipid and carbohydrate meals of different size.</p> <p>Methods</p> <p>We compared the hormonal response to lipid and carbohydrate meals of different caloric content during the acute postprandial period. Nine healthy men (22 ± 2 years) consumed in a random order, cross-over design one of four meals/beverages during the morning hours in a rested and fasted state: dextrose at 75 g (300 kcals), dextrose at 150 g (600 kcals), lipid at 33 g (300 kcals), lipid at 66 g (600 kcals). Blood samples were collected Pre meal, and at 0.5 hr, 1 hr, 2 hr, and 3 hr post meal. Samples were assayed for testosterone, cortisol, and insulin using ELISA techniques. Area under the curve (AUC) was calculated for each variable, and a 4 × 5 ANOVA was used to further analyze data.</p> <p>Results</p> <p>A meal × time effect (p = 0.0003) was noted for insulin, with values highest for the dextrose meals at the 0.5 hr and 1 hr times, and relatively unaffected by the lipid meals. No interaction (p = 0.98) or meal (p = 0.39) effect was noted for testosterone, nor was an interaction (p = 0.99) or meal (p = 0.65) effect noted for cortisol. However, a time effect was noted for both testosterone (p = 0.04) and cortisol (p < 0.0001), with values decreasing during the postprandial period. An AUC effect was noted for insulin (p = 0.001), with values higher for the dextrose meals compared to the lipid meals (p < 0.05). No AUC effect was noted for testosterone (p = 0.85) or cortisol (p = 0.84).</p> <p>Conclusions</p> <p>These data indicate that 1) little difference is noted in serum testosterone or cortisol during the acute postprandial period when healthy men consume lipid and dextrose meals of different size; 2) Both testosterone and cortisol experience a drop during the acute postprandial period, which is similar to what is expected based on the normal diurnal variation--feeding with lipid or dextrose meals does not appear to alter this pattern; 3) dextrose meals of either 75 g or 150 g result in a significant increase in serum insulin, in particular at 0.5 hr and 1 hr post-ingestion; 4) lipid meals have little impact on serum insulin.</p

    "An Analysis of Ecuador's Rose Industry and its Impact on Soil and Water Quality"

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    Ecuadorian flower farms use large inputs of pesticides and fertilizers to produce high-value flowers such as roses. While these inputs are vital to the growth of healthy roses, the chemicals are often toxic to the environment. In order to examine the effects pesticides and fertilizers have on water and soil quality in Ecuador, data was collected through a literature review and interviews with academic and industry contacts. Most Ecuadorian rose farms grow their plants directly in the soil instead of containers. As many of these farms, especially the small ones, do not use water-recycling systems, excess chemicals leach directly into the soil, rivers and streams. Both water and soil resources throughout Ecuador have become degraded from the heavy use of pesticides and fertilizers by these rose farms.</p

    Localization of Genes Potentially Controlling Susceptibility to the Lethal Effects of Alzheimer’s Amyloid Precursor Protein in Transgenic Mice

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    Variation in the susceptibility to the lethal effects of Alzheimer\u27s Amyloid Precursor Protein (APP) transgene exists among various mouse strains. Inbred FVB/N mice, expressing high levels of the transgene-encoded APP, die prior to 200 days, while inbred 129.Tg2576 mice carrying the transgene are far less susceptible. When the two strains are crossed, (FVB/Nxl29.Tg2576) FI mice survive, as does the 129.Tg2576 parent. Intercross and backcross offspring survived at rates of 60% and 35%, respectively, at 200 days signaling the presence of a polygenic trait. The goal of this study was to establish a linkage to genes affecting susceptibility to the APP transgene. The possible quantitative trait loci (QTL) were established using various genetic markers scattered throughout the genome. The presence of multiple QTLs is possible from the data obtained; however, an increased chance of type I errors (false positives) exists due to the large number of markers used for the genome scan

    Evaluation of the glycemic indices of three commonly eaten mixed meals in Okada, Edo State

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    People do not generally eat single or individual meals; rather they eat mixed meals, consisting of two or more individual meals. These mixed meals usually have glycemic indices which differ from that of the individual food type. This study was aimed at evaluating the glycemic indices of three commonly consumed mixed meals eaten in Okada; rice and beans (test food 1), rice and plantain (test food 2), beans and plantain (test food 3). Two hundred and forty healthy subjects aged between 18 and 30 participated in this study. They were randomized into three groups of eighty persons each, and fed with the standard food (50 g glucose) on day one and one of the test foods on day two, after an overnight fast. Blood samples were taken at 0, 30, 60, 90, and 120 min after the food had been eaten. The results showed that the Glycemic Index (GI) values for the test foods were high: 86.60 (test food 1), 89.74 (test food 2), 86.93(test food 3). The incremental increase in blood glucose was monitored and calculated for each food and when compared with that of the standard food (glucose), there was significant differences (p &lt; .036) for test food 1 and (p &lt; .068) for test food 3; both at 30 min. At 120 min, no significant differences in blood glucose levels were observed (p &gt; .05). The results from this study indicated that the GI of the mixed meals was affected by the constituent nutrient and the response is also affected by the proportion of each nutrient. Our findings show that the selected test foods (mixed meals) consumed in Okada have high GI values
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