Screening rs2241766 Polymorphism as a Susceptibility Index Parameter in Obese Patients with a High Level of Cholesterol

Obesity is a multifactorial disorder that has increased dramatically in recent years in developing countries. The disproportion of energy uptake and expenditure, which is the result of several factors such as diet, behavior, environment, as well as metabolic and genetic factors, could eventually lead to this disease. Mutations in genes that regulate appetite and metabolism could affect various aspects of obesity. Adiponectin protein, the product of the ADIPOQ gene, is an essential adipokine for controlling energy homeostasis and fat storage and is secreted in white adipose tissues. It is an insulin-sensitive hormone whose blood concentration declines in obesity. In this study, we examined the association of rs2241766 +45 T>G polymorphism of the ADIPOQ gene with obesity and blood levels of High-Density Lipoprotein (HDL), Low-Density Lipoprotein (LDL), Triglyceride (TG), and total cholesterol in the population of Borujen City. In this case-control study, blood samples were collected from people referred to Tamin Ejtemaee Laboratory of Borujen who suffered from obesity problems. Triglyceride, total cholesterol, LDL, and HDL levels were analyzed in the patient's blood using the alpha6 auto-analyzer. In the next step, total DNA was extracted from the blood samples and subjected to Restriction Fragment Length Polymorphism (RFLP) methods to investigate the rs2241766 polymorphism of the ADIPOQ gene. According to the results of this study, there is no significant correlation between any alleles and genotypes of this polymorphism with obesity (Chisquare p-value was 0.82 and 0.85 respectively for alleles and genotypes, oddsratio 1.155, 95% CI= 0.32-4.14). There is no significant correlation between the blood lipid characteristics of the patients and the genotypes of the studied polymorphism. According to our results, it seems that the alleles and genotypes of the ADIPOQ gene rs2241766 do not affect the etiology of obesity in our samples