Background & aims: Metabolic Syndrome (MetS) is a potential threatening factor for cardiovascular disorders and atherosclerosis which is accompanied by increase in plasma triglyceride, cholesterol, low density lipoproteins (LDL-c), fasting blood sugar (FBS) and low high density lipoproteins (HDL-c). Cholesteryl ester transfer protein (CETP) catalysis transfer of lipids and phospholipids between lipoproteins. CETP can have a significant role in balancing the quantity of plasma lipids and lipoproteins. The present survey attempted to show the association of Taq1B polymorphisms in CETP gene with metabolic syndrome parameters an Iranian population.

 Materials &Methods: In order to identify the association between the Taq1B polymorphisms of this gene and the lipid pattern of plasma and other parameters of MetS, the quantity of lipids in metabolic syndrome subjects (N=247) and healthy individuals (N=247) were measured. The abundance of alleles and genotypic distribution of the Taq1B polymorphisms were defined along with comparison between two control and patient groups. Blood samples were collected followed by routine biochemical analysis. DNA extraction was performed. Polymerase chain reaction-restriction fragment length polymorphism was applied to identify Taq1B polymorphism. Statistical analyses were applied using SPSS software.

 Results: Lipid pattern of plasma and other parameters of MetS showed significant differences between the patient and control groups. Also the abundance of alleles and genotypic distribution of polymorphism showed a significant difference between two groups. Taq1B polymorphism was accompanied with MetS.

 Conclusion: The results confirm that in MetS patients, this genetic mutation in CEPT gene is accompanied with change in lipid profile and other MetS parameters. Our study suggests the promoting effect of Taq1B polymorphism in process of MetS disorder. We indicated this polymorphism can increase occurrence of metabolic syndrome. Our results showed Taq1B polymorphism is associated with some MetS associated variables in our population.

 SOURCE: URMIA MED J 2015: 25(11): 1049 ISSN: 1027-3727