Hostname: page-component-8448b6f56d-wq2xx Total loading time: 0 Render date: 2024-04-18T19:49:49.770Z Has data issue: false hasContentIssue false

Effects of long-term low-glycaemic index starchy food on plasma glucose and lipid concentrations and adipose tissue cellularity in normal and diabetic rats

Published online by Cambridge University Press:  09 March 2007

Muriel Lerer-Metzger
Affiliation:
Department of Diabetes, INSERM U341, Hôtel-Dieu Hospital, 75181 Paris Cedex 04, France
Salwa W. Rizkallal
Affiliation:
Department of Diabetes, INSERM U341, Hôtel-Dieu Hospital, 75181 Paris Cedex 04, France
Jing Luo
Affiliation:
Department of Diabetes, INSERM U341, Hôtel-Dieu Hospital, 75181 Paris Cedex 04, France
Martine Champ
Affiliation:
Laboratory of Nutrition, INRA, Nantes, France
Morvarid Kabir
Affiliation:
Department of Diabetes, INSERM U341, Hôtel-Dieu Hospital, 75181 Paris Cedex 04, France
FranÇoise Bruzzo
Affiliation:
Department of Diabetes, INSERM U341, Hôtel-Dieu Hospital, 75181 Paris Cedex 04, France
Francis Bornet
Affiliation:
Department of Diabetes, INSERM U341, Hôtel-Dieu Hospital, 75181 Paris Cedex 04, France Eridania Béghin, Say, Paris, France
GÉrard Slama
Affiliation:
Department of Diabetes, INSERM U341, Hôtel-Dieu Hospital, 75181 Paris Cedex 04, France
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The present study aimed to assess the metabolic consequences of the chronic ingestion of two starches giving different postprandial glycaemic responses in normal and diabetic rats. The two starches chosen were mung-bean (Phaseolus aureus) starch (97% pure starch) and wheat starch presented as ground French toast. First, we studied the characteristics of these two starches. In vitro the α-amylase (EC 3.2.1.1) digestibilities of these starches were 40 (SE 3) and 62 (SE 4)% respectively at 30 min, whereas the contents of resistant starch were 77 (SE 4) and 22 (SE 4) g/kg respectively. In vivo the mung-bean starch produced lower postprandial glycaemic responses than the wheat starch (areas under the curve were: 91 (SE 28) and 208 (SE 33) mmol.min/I, P < 0·05) in normal rats (n 8). We then submitted twenty-eight normal and twenty-eight diabetic (neonatal streptozotocin on second day of birth) male Sprague-Dawley rats (6 weeks old) to a diet containing 570 g starch/kg as either mung-bean starch or wheat starch (n 14 rats/group). After 5 weeks on the diets food intakes and body weights were identical in each group. Liver and kidney weights were comparable when expressed as relative weight. The mung-bean-starch diet slightly decreased epididymal fat-pad weight (P < 0·14, ANOVA) and led to a marked decrease in adipocyte volume (P < 0·05). Plasma triacylglycerol and phospholipid concentrations were lower after the mung-bean-starch diet than after the wheat-starch diet in both normal and diabetic rats, whereas free fatty acid concentrations were lower only in normal rats. Similarly, non-fasting plasma glucose concentrations decreased (P < 0·05) in normal rats fed on mung-bean starch but not in diabetic ones (P < 0·14). Insulin levels tended to be lower, but not significantly, after mung-bean-starch feeding than after wheat starch. We conclude that the replacement of 570 g wheat starch/kg diet with mung-bean starch for 5 weeks resulted in (1) lowered non-fasting plasma glucose and free fatty acid levels in normal but not in diabetic rats, (2) a reduction in plasma triacylglycerol concentration and adipocyte volume in both normal and diabetic rats. Thus, the type of starch mixed into the diet may have important metabolic consequences in normal and diabetic rats

Type
Nature and metabolic effects of starchy foods
Copyright
Copyright © The Nutrition Society 1996

References

REFERENCES

Albrink, M. J., Newman, T. & Davidson, P. C. (1979). Effect of high and low fiber diets on plasma lipids and insulin. American Journal of Clinical Nutrition 32, 14861491.Google Scholar
Behall, K. M. & Howe, J. C. (1995). Effect of long-term consumption of amylose vs amylopectin starch on metabolic variables in human subjects. American Journal of Clinical Nutrition 61, 334340.Google Scholar
Bonner-Weir, S., Trent, D. F., Honey, R. N. & Weir, G. C. (1981). Responses of neonatal rat islets to streptozotocin: limited B-cell regeneration and hyperglycemia. Diabetes 30, 6469.CrossRefGoogle Scholar
Bornet, F. R. J., Fontvieille, A. M., Rizkalla, S., Colonna, P., Blayo, A., Mercier, C. & Slama, G. (1989). Insulin and glycemic responses in healthy humans to native starches processed in different ways: correlation with in vitro α-amylase hydrolysis. American Journal of Clinical Nutrition 50, 315323.Google Scholar
Brand, J. C., Colagiuri, S., Crossman, S., Allen, A., Roberts, D. C. K. & Truswell, A. S. (1991). Low-glycemic index foods improve long-term glycemic control in NIDDM. Diabetes Care 14, 95101.Google Scholar
Champ, M. (1992). Determination of resistant starch in foods and food products; interlaboratory study. European Journal of Clinical Nutrition 46, Suppl. 2, S51–S62.Google Scholar
Crapo, P. A., Reaven, G. & Olefsky, J. (1977). Post-prandial plasma glucose and insulin responses to different complex carbohydrates. Diabetes 26, 11781183.CrossRefGoogle Scholar
Dole, V. P. & Meinertz, H. (1960). Microdetermination of long-chain fatty acids in plasma and tissues. Journal of Biological Chemistry 235, 25952599.Google Scholar
Englyst, H. N., Kingman, S. M. & Cummings, J. H. (1992). Classification and measurement of nutritionally important starch fractions. European Journal of Clinical Nutrition 46, Suppl. 2, S33–S50.Google Scholar
Fontvieille, A. M., Acosta, M., Rizkalla, S. W., Bornet, F., David, P., Letanoux, M., Tchobroutsky, G. & Slama, G. (1988 a). A moderate switch from high to low glycaemic-index foods for 3 weeks improves the metabolic control of type 1 (IDDM) diabetic subjects. Diabetes Nutrition and Metabolism 1, 139143.Google Scholar
Fontvieille, A. M., Bornet, F., Rizkalla, S. W., Le Francois, P., Pichard, P., Desplanque, N., Chevalier, A., Letanoux, M., Verel, A., Tchobroutsky, G. & Slama, G. (1988 b). In vitro and in vivo digestibility and metabolic effects of 3 wheat-flour products (white bread, French toast (rusk) and French toast branenriched) in normal subjects. Diabète et Métabolisme 14, 9296.Google Scholar
Fontvieille, A. M., Rizkalla, S. W., Penfornis, A., Acosta, M., Bornet, F. R. J. & Slama, G. (1992). The use of low glycaemic index foods improves metabolic control of diabetic patients over five weeks. Diabetic Medicine 9, 17.Google Scholar
Goldrick, R. B. (1967). Morphological changes in adipocyte timing of fat deposition and mobilization. American Journal of Physiology 212, 771782.Google Scholar
Jenkins, D. J. A., Wolever, T. M. S., Collier, G. C., Ocana, A., Rao, A. V., Buckley, G., Lam, L., Mayer, A. & Thompson, L. U. (1987 a). Metabolic effects of a low-glycemic-index diet. American Journal of Clinical Nutrition 46, 968975.Google Scholar
Jenkins, D. J. A., Wolever, T. M. S., Kalmusky, J., Guidici, S., Giordano, C., Patten, R., Wong, G. S., Bird, J. N., Hall, M., Buckley, G., Csima, A. & Little, J. A. (1987 b). Low-glycemic index diet in hyperlipidemia: use of traditional starchy foods. American Journal of Clinical Nutrition 46, 6671.Google Scholar
Jenkins, D. J. A., Wolever, T. M. S. & Taylor, R. H. (1981). Glycemic index of foods: a physiological basis for carbohydrate exchange. American Journal of Clinical Nutrition 34, 362366.Google Scholar
Lavau, M., Susini, C., Knittle, S., Blanchet-Hirst, S. & Greenwood, M. R. C. (1977). A reliable photomicrographic method for determining fat cell size and number: application to dietary obesity. Proceedings of the Society for Experimental Biology and Medicine 156, 251256.Google Scholar
Leclère, C., Champ, M., Cherbut, C. & Delort-Laval, J. (1993). Starch digestion and amylase activity in the presence of guar gums. Science Alimentation 13, 325332.Google Scholar
O'Dea, K., Snow, P. & Nestel, P. (1981). Rate of starch hydrolysis in vitro as a predictor of metabolic responses to complex carbohydrate in vivo. American Journal of Clinical Nutrition 34, 19911993.Google Scholar
Portha, B., Blondel, O., Serradas, P., McEvoy, R., Giroix, M. H., Kergoat, M. & Bailbe, D. (1989). The rat models of non-insulin dependent diabetes induced by neonatal streptozotocin. Diaète et Métabolisme 15, 6175.Google Scholar
Rodbell, M. (1964). Metabolism of isolated fat cells: effects of hormones on glucose metabolism and lipolysis. Journal Of Biological Chemistry 239, 375380.Google Scholar
Royall, D., Wolever, T. M. S. & Jeejeebhoy, K. N. (1990). Clinical significance of colonic fermentation. American Journal of Gastroenterology 85, 13071312.Google Scholar
Tollier, M. T. & Robin, J. P. (1979). Adaptation de la méthode à l'arcinol sulfuric au dosageautomatique des glucides neutres totaux condition d'application au extraits d'originevégétale (Adaptation of the sulphuric orcinol method to the automatic analysis of total neutral sugars: application to vegetable origin extracts). Annals de Technilogical Agriculture 28, 116.Google Scholar
Wolever, T. M. S., Jenkins, D. J. A., Jenkins, A. L. & Josse, R. (1991). The glycemic index: methodology and clinical implications. American Journal of Clinical Nutrition 54, 846854.Google Scholar
Wolever, T. M. S., Jenkins, D. J. A., Vuksan, V., Jenkins, A. L., Buckley, G. C., Wong, G. C. & Josse, R. G. (1992). Beneficial effect of a low glycaemic index diet in type 2 diabetes. Diabetic Medicine 9, 451458.Google Scholar