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Influence of b2 adrenergic receptor polymorphism (rs1042713 and rs1042714) on anthropometric, hormonal and lipid profiles in polycystic ovarian syndrome

Journal of Medical Biochemistry, ISSN: 1452-8266, Vol: 40, Issue: 1, Page: 74-85
2021
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Article Description

Background: Polycystic ovarian syndrome (PCOS) is a frequently encountered disorder. This study aimed to identify polymorphisms in ADRB2 in Saudi PCOS development and to study its influence on lipids, hormones, and anthropometric parameters. Methods: Saudi females (100) suffering from PCOS and healthy controls (100) were investigated. The estimation of cholesterol, triglycerides, high-density lipoprotein (HDL-C), low-density lipoprotein (LDL-C), plasma glucose, leptin Insulin, and ghrelin were carried out. The DNA was extracted, and ADRB2 fragment carrying the exon 1 was amplified and sequenced. Results: The waist, W/H ratio, lipids, glucose, and insulin were significantly higher in the obese PCOS compared to the normal weight group. The leptin and ghrelin were not different. Two single nucleotide polymorphisms (SNPs): Rs1042713 (Arg16Gly; A>G) and rs1042714 (Gln27Glu; C>G) were identified. The genotype and allele frequency of rs1042713 did not differ in the total PCOS and normal weight, and obese PCOS compare to the controls. How - ever, rs1042714 was significantly associated with PCOS development, where the minor G allele was protective against PCOS development. Conclusions: The rs1042714 polymorphism of the ADRB associates with PCOS development in Saudis, while rs1042713 does not. However, the GG genotype of rs1042713 associates significantly with elevated BMI, waist, hip, W/H, and leptin, and decreased ghrelin. On the other hand, rs1042714 genotypes do not associate with any abnormality except the homozygous GG have higher triglycerides and lower HDL-C. Interestingly, glucose showed different correlation patterns in individuals carrying different genotypes of the two studied SNP, indicating clearly that the metabolic responses to a normal nutrient are significantly influenced by the genotypes of the SNPs in ADRB2.

Bibliographic Details

Daghestani, Maha H; Omair, Maha; Daghestani, Mazin; Abdel-Razeq, Sonya S; Kaya, Namik; Warsy, Arjumand

Centre for Evaluation in Education and Science (CEON/CEES)

Biochemistry, Genetics and Molecular Biology; Medicine

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