Use of fenugreek, a food with demonstrated efficacy in lowering blood sugar, is limited by its bitter taste and strong flavor. A bread incorporating fenugreek using a proprietary process was tested for its taste acceptability and its effect on carbohydrate metabolism. We developed a fenugreek bread formula that was produced in a commercial bakery by incorporating fenugreek flour into a standard wheat bread formula. Whole wheat bread was prepared by the same formula in the same bakery using wheat flour. Eight diet-controlled diabetic subjects were served two slices (56 g) and 5% fenugreek. Blood glucose and insulin were tested periodically over a 4-hour period after consumption. The tests were run on two occasions 1 week apart, once with the fenugreek bread and once with regular bread. The study was double-blind, and the order was randomized and balanced. Fenugreek and whole wheat bread samples were evaluated for sensory attributes and nutrient composition. There was no statistically significant difference in proximate composition, color, firmness, texture, and flavor intensity between the fenugreek and wheat bread (P > .05). The area under the curve for glucose and insulin was lower in the fenugreek condition, but only reached significance with insulin (P < .05). The fenugreek-containing bread was indistinguishable from the whole wheat bread control. Normally, fenugreek flour impacts bread quality negatively. The bread maintained fenugreeks functional property of reducing insulin resistance. Acceptable baked products can be prepared with added fenugreek, which will reduce insulin resistance and treat type 2 diabetes.
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JoVE Visualize is a tool created to match the last 5 years of PubMed publications to methods in JoVE's video library.
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In developing our video relationships, we compare around 5 million PubMed articles to our library of over 4,500 methods videos. In some cases the language used in the PubMed abstracts makes matching that content to a JoVE video difficult. In other cases, there happens not to be any content in our video library that is relevant to the topic of a given abstract. In these cases, our algorithms are trying their best to display videos with relevant content, which can sometimes result in matched videos with only a slight relation.