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American Journal of Biochemistry and Molecular Biology
Year: 2016  |  Volume: 6  |  Issue: 1  |  Page No.: 25 - 32

Measurement of Cholesterol Sub-Fractions, High Density Lipoprotein 2 and High Density Lipoprotein 3 in Type 2 Diabetes Mellitus Patients in Burkina Faso (West Africa)

Alice TCR Kiba Koumare, Assana Bouda, Herve Tienon, Elie Kabre, Issaka Sonde, Talkmore Maruta, Jacques Simpore and Jean Sakande    

Abstract: Background: According to literature, the High Density Lipoprotein 2 (HDL2) cholesterol is a better predictor of cardiovascular disease than total HDL. Thus, this study was undertaken to evaluate the interest of HDL2 in the management of Type 2 Diabetes Mellitus (T2DM) patients recruited at University Hospital Yalgado Ouedraogo of Ouagadougou (Burkina Faso, West Africa). Methodology: The distribution of type 2 diabetes group according to cardiovascular complications reported 37.9% with microvascular complications and 36.4% with macrovascular complications. Results: The total cholesterol, triglyceride, HDL cholesterol and HDL3 cholesterol were significantly higher in type 2 diabetes population compared to control group (p<0.001). On the contrary, a significant decrease of HDL2 cholesterol and LDL cholesterol were observed in T2DM group compared to control group (p<0.05). The decrease of HDL2 cholesterol according to the cardiovascular risk factors was significant in obesity, diabetes duration up to 10 years and hypercholesterolemia. The HDL2 cholesterol variations according to diabetes complications showed significant decrease in metabolic syndrome and hypertension (p<0.001). The HDL2 cholesterol measurement was useful for evaluating cardiovascular risk in diabetics, because in this study only its level was significantly decreased, while total cholesterol and HDL3 cholesterol levels increased and LDL cholesterol level was within normal limits. Conclusion: Therefore, the HDL2 might be including in T2DM management. Indeed, the reagents are available from local providers and the quality control has validated this affordable method for resource limited laboratories.

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