A MUFA-Rich Diet Improves Posprandial Glucose, Lipid and GLP-1 Responses in Insulin-Resistant Subjects

A MUFA-Rich Diet Improves Posprandial Glucose, Lipid and GLP-1 Responses in Insulin-Resistant Subjects

Juan A. Paniagua, MD, PhD, Angel Gallego de la Sacristana, MD, Esther Sánchez, MD, Inmaculada Romero, PhD, Antonio Vidal-Puig, MD, PhD, Francisco J. Berral, MD, PhD, Antonio Escribano, MD, PhD, Maria José Moyano, MD, Pablo Peréz-Martinez, MD, PhD, José López-Miranda, MD, PhD and Francisco Pérez-Jiménez, MD, PhD

Lipids and Atherosclerosis Research Unit, University Hospital Reina Sofía (HURS), (J.A.P., A.G.S., E.S., I.R., P.P.-M., J.L.-M., F.P.-J.)
Ciber Fisiopatología Obesidad y Nutrición (CB06/03) Instituto Salud Carlos III (J.A.P., P.P.-M., J.L.-M., F.P.-J.)
University of Córdoba, School of Medicine (F.J.B., A.E.)
Biochemical Laboratory Service, HURS (M.J.M.), Cordoba, SPAIN
Departments of Clinical Biochemistry and Medicine, University of Cambridge Addenbrooke's Hospital, Cambridge (A.V.-P.), ENGLAND

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Fig. 1. Mean (±SE) postprandial responses of glucose, triacylglycerol (TG) and HDL cholesterol concentrations in 11 insulin-resistant subjects to three isocaloric (443 Kcal) standard breakfasts: a breakfast rich in carbohydrates ( ${blacksquare}$ - CHO), a Mediterranean breakfast enriched in virgin olive oil ( ${blacktriangledown}$ - MUFA) and a standard breakfast high in saturated fat (• - SAT). The incremental area under the curve (AUC) was calculated by the formula based on the trapezoid rule with adjustment for baseline concentrations. Repeated measures ANOVA and Tukey's test. *p < 0.05; ** p < 0.01.

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Fig. 2. Mean (±SE) postprandial responses of insulin and glucagón-like peptide 1 (GLP-1) in 11 insulin-resistant subjects to three isocaloric (443 Kcal) standard breakfasts: a breakfast rich in carbohydrates ( ${blacksquare}$ - CHO), a Mediterranean breakfast enriched in virgin olive oil ( ${blacktriangledown}$ - MUFA) and a standard breakfast high in saturated fat (• - SAT). The incremental area under the curve (AUC) was calculated by the formula based on the trapezoid rule with adjustment for baseline concentrations. Repeated measures ANOVA and Tukey's test. *p < 0.05; **p < 0.01.