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      Commercially available gluten-free pastas elevate postprandial glycemia in comparison to conventional wheat pasta in healthy adults: a double-blind randomized crossover trial

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      Food & Function
      Royal Society of Chemistry (RSC)

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          Abstract

          Given the popularity of gluten-free diets, research regarding the health implications of gluten-free (GF) products is necessary.

          Abstract

          Given the popularity of gluten-free diets, research regarding the health implications of gluten-free (GF) products is necessary. This study compared the postprandial glycemic responses to three GF pastas commonly available in the U.S. market to that of wheat pasta in healthy adults. Thirteen healthy non-smoking men and women from a university campus population were enrolled in this randomized 4 × 4 block crossover study and completed all four treatments. Participants followed a standardized diet and activity protocol the day prior to testing, and one week separated testing periods. The test meal (a macaroni and cheese dish prepared with conventional wheat pasta or with GF pasta composed of either brown rice, rice and corn, or corn and quinoa flours) was consumed under observation, and blood was sampled in the fasted state and at one-half hour intervals for the first 2 hours following meal ingestion. A significant pasta × time interaction was observed for the incremental postprandial glycemia curves ( p = 0.036, repeated measures ANOVA; effect size [partial eta squared], 0.943). Post-hoc analysis revealed a significant difference for the 30-minute postprandial blood glucose concentrations: the plasma glucose concentration was 57% higher for the GF rice and corn pasta compared to traditional wheat pasta ( p = 0.011). Since postprandial glycemia was higher for GF pasta composed of rice and corn flours compared to wheat pasta, more research is needed to understand how the substitute ingredients for GF pastas impact health parameters and disease risk.

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          Most cited references22

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          Nonceliac gluten sensitivity.

          During the past decade there has been an impressive increase in popularity of the gluten-free diet (GFD)-now the most trendy alimentary habit in the United States and other countries. According to recent surveys, as many as 100 million Americans will consume gluten-free products within a year. Operating under the concept that the GFD benefits only individuals with celiac disease, health care professionals have struggled to separate the wheat from the chaff; there are claims that eliminating gluten from the diet increases health and helps with weight loss, or even that gluten can be harmful to every human being. However, apart from unfounded trends, a disorder related to ingestion of gluten or gluten-containing cereals, namely nonceliac gluten sensitivity (NCGS), has resurfaced in the literature, fueling a debate on the appropriateness of the GFD for people without celiac disease. Although there is clearly a fad component to the popularity of the GFD, there is also undisputable and increasing evidence for NCGS. However, we require a better understanding of the clinical presentation of NCGS, as well as its pathogenesis, epidemiology, management, and role in conditions such as irritable bowel syndrome, chronic fatigue, and autoimmunity. Before we can begin to identify and manage NCGS, there must be agreement on the nomenclature and definition of the disorder based on proper peer-reviewed scientific information. We review the most recent findings on NCGS and outline directions to dissipate some of the confusion related to this disorder. Copyright © 2015 AGA Institute. Published by Elsevier Inc. All rights reserved.
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            Prevalence of gluten-free diet adherence among individuals without celiac disease in the USA: results from the Continuous National Health and Nutrition Examination Survey 2009-2010.

            Clinical inference suggests the prevalence of non-celiac gluten sensitivity is substantially higher than that of celiac disease in the USA. Unfortunately, there are currently no data supporting these claims. The authors analyzed nationally representative data to estimate the prevalence of adherence to a gluten-free diet among participants without celiac disease and also to characterize the demographics and general health status of these participants. The Continuous National Health and Nutrition Examination Survey (NHANES) 2009-2010 enrolled 7762 individuals representing the civilian, non-institutionalized, US population free of celiac disease. Participants responded to interviewer administered questionnaires regarding current adherence to a gluten-free diet. Prevalence estimates were computed using SAS survey procedures. There were 49 individuals who reported current adherence to a gluten-free diet reflecting a weighted prevalence of 0.548% (95% CI 0.206-0.889). The prevalence of a gluten-free diet was higher in females (0.58%) than males (0.37%), although this was not statistically significant (p = 0.34). Participants reporting a gluten-free diet were older (46.6 vs. 40.5 years, p = 0.005), had higher high-density lipoprotein, lower iron and lower body mass index. The estimated national prevalence of non-celiac gluten sensitivity is 0.548%, approximately half that of celiac disease. Future studies are merited in order to better understand the population burden of non-celiac gluten sensitivity.
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              Glycemic index, postprandial glycemia, and the shape of the curve in healthy subjects: analysis of a database of more than 1,000 foods.

              The glycemic index (GI) characterizes foods by using the incremental area under the glycemic response curve relative to a similar amount of oral glucose. Its ability to differentiate between curves of different shapes, the peak response, and other aspects of the glycemic response is debatable. The objective was to explore the association between a food's GI and the shape of the curve in healthy individuals. A large database of 1,126 foods tested by standardized GI methodology in 8-12 healthy subjects was analyzed systematically. Each food's absolute and incremental blood glucose concentrations were compared at individual time points with the GI. The average curve was generated for low-GI ( or = 70) foods within major food categories. The GI of individual foods was found to correlate strongly with the incremental and actual peak (Spearman's correlations of r = 0.76 and r = 0.73, respectively), incremental and actual glucose concentration at 60 min (r = 0.70 and r = 0.66, respectively), and maximum amplitude of glucose excursion (r = 0.68) (all P < 0.001). In contrast, there was only a weak correlation between the food's GI and the 120-min glucose concentration (incremental r = 0.20, P < 0.001; absolute r = 0.16, P < 0.001). Within food groups, the mean GI, 30- and 60-min glucose concentrations, and maximum amplitude of glucose excursion varied significantly for foods classified as having a low, medium, or high GI (P < 0.001). The GI provides a good summary of postprandial glycemia. It predicts the peak (or near peak) response, the maximum glucose fluctuation, and other attributes of the response curve.
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                Author and article information

                Journal
                FFOUAI
                Food & Function
                Food Funct.
                Royal Society of Chemistry (RSC)
                2042-6496
                2042-650X
                2017
                2017
                : 8
                : 9
                : 3139-3144
                Article
                10.1039/C7FO00099E
                63eaddbb-4fad-42fe-87c5-27dde29c6bfd
                © 2017
                History

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