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      Metabolic effects of Foofoo corn on healthy volunteers: influence of some traditional Cameroonian sauces

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          Abstract

          Background

          Little data to guide diet prescription exists about the foods most frequently consumed in Africa. Moreover, the sauce accompanying a meal can significantly alter the metabolic effects of food. Our work was to study the influence of sauces on the metabolic effects of foofoo corn (Zea mays), one of the most commonly consumed foods in several countries in sub-Saharan Africa with a wide range of sauces.

          Methods

          Our study population consisted of ten healthy volunteers (five men, five women), aged from 21 to 28 years, with mean BMI of 23.9 (SD 1.9) kg/m 2. The study involved seven visits of three hours each, conducted every 2 days, including one devoted to the oral glucose tolerance test (OGTT) and six visits to the consumption of each of 6 meals tested, standardized to 75 g of carbohydrate intake. Blood samples were collected at 0, 15, 30, 60, 90, 120 and 180 min after consumption of meals for blood glucose and triglycerides levels. The glucose area under the curve of each tested meal, was used to calculate its glycemic index, using the OGTT as the reference. The accompanying sauces tested with foofoo corn were: okra sauce (Abelmoschus esculentus), the so-called yellow sauce (Elaeis guinensis), the pistachio sauce (Pistacia vera), the nkui (Triumpheta pentandra), ndolé (Vernonia amygdalima) and cabbage (Brassica oleracea).

          Results

          All meals had generally a low glycemic index, with a maximum of 22.59 % for okra and cabbage, followed by ndolè (20.18 %), the yellow sauce (13.10 %), pistachio sauce (11.60 %), and nkui (5.27 %). There was a difference in the effects of the diets on triglyceride levels only at 180 min ( p = 0.03).

          Conclusion

          Whatever the accompanying sauce, foofoo corn has a low glycemic index. Some sauces, such as nkui give it a very low glycemic index and may be of great interest in diet prescription for patients with various metabolic disorders such as diabetes and obesity.

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          Most cited references19

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          Impact of fat, protein, and glycemic index on postprandial glucose control in type 1 diabetes: implications for intensive diabetes management in the continuous glucose monitoring era.

          Continuous glucose monitoring highlights the complexity of postprandial glucose patterns present in type 1 diabetes and points to the limitations of current approaches to mealtime insulin dosing based primarily on carbohydrate counting.
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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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              Glycemic index and disease.

              H-F Pi (2002)
              It has been suggested that foods with a high glycemic index are detrimental to health and that healthy people should be told to avoid these foods. This paper takes the position that not enough valid scientific data are available to launch a public health campaign to disseminate such a recommendation. This paper explores the glycemic index and its validity and discusses the effect of postprandial glucose and insulin responses on food intake, obesity, type 1 diabetes, and cardiovascular disease. Presented herein are the reasons why it is premature to recommend that the general population avoid foods with a high glycemic index.
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                Author and article information

                Contributors
                sobngwieugene@yahoo.fr
                Journal
                Clin Diabetes Endocrinol
                Clin Diabetes Endocrinol
                Clinical Diabetes and Endocrinology
                BioMed Central (London )
                2055-8260
                2 November 2015
                2 November 2015
                2015
                : 1
                : 13
                Affiliations
                [1 ]National Obesity Center, Yaoundé Central Hospital, Yaoundé, Cameroon
                [2 ]GRID grid.412661.6, ISNI 0000000121738504, Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, , University of Yaoundé I, ; Yaoundé, Cameroon
                [3 ]GRID grid.412661.6, ISNI 0000000121738504, Faculty of Medicine and Biomedical Sciences, , University of Yaoundé I, ; Yaoundé, Cameroon
                [4 ]GRID grid.412661.6, ISNI 0000000121738504, Laboratory of Biochemistry, , Yaounde University Teaching Hospital, ; Yaounde, Cameroon
                [5 ]GRID grid.413335.3, ISNI 0000000406351506, Department of Medicine, , Groote Schuur Hospital and University of Cape Town, ; Cape Town, South Africa
                [6 ]Medical Diagnostic Center, Yaoundé, Cameroon
                [7 ]GRID grid.7452.4, ISNI 0000000122170017, Department of Diabetes and Endocrinology, Hôpital Lariboisière, Assistance Publique-Hôpitaux de Paris, , University Paris-Diderot Paris-7, ; Paris, France
                [8 ]Clinical Research Education, Networking and Consultancy, Douala, Cameroon
                [9 ]Internal Medicine Unit, Edéa Regional Hospital, Edéa, Cameroon
                [10 ]GRID grid.412860.9, ISNI 0000000404591231, Division of Public Health Sciences, Department of Epidemiology and Prevention, Wake Forest School of Medicine, , Medical Center Boulevard, ; Winston‐Salem, NC 27157-1063 USA
                Article
                14
                10.1186/s40842-015-0014-4
                5471947
                28702220
                984014ce-bdee-4829-93c8-a219f8c84a56
                © Kamwa et al. 2015

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 19 February 2015
                : 4 August 2015
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2015

                traditional meal,glycemic index,nutrition,cameroon,sub-saharan africa

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