The Effect of Leptin Receptor Gene Polymorphisms (R223Q and P1019P) in Susceptibility to Polycystic Ovarian Syndrome in Kurdish Women

Image Analysis of TVCDS in Infertile Patients with Polycystic Ovary Syndrome

In order to analyze and examine the TVCDS images of infertile patients, this paper conducted an in-depth study based on the symptoms of polycystic ovary syndrome. Through the sample size estimation method, mathematical analysis, and other methods, the image examination of the polycystic ovary in TVCDS was successfully analyzed. 86 cases of infertile patients with PCS were divided into a control group treated with clomiphene alone and an observation group treated with clomiphene combined with TCM periodic therapy, with 43 patients in each group. The therapeutic effects of the two groups were compared and analyzed. Results show that the treatment effective rate and pregnancy success rate of the observation group were 95.35% and 88.37%, respectively, and those of the control group were 83.72% and 76.74%, respectively. The difference between the two groups was statistically significant (P < 0.05). It was understood that the main pathogenesis of polycystic ovary syndrome is the abnormal balance of kidney, qi, and blood meridians. Thus, the balance of kidney-anemone-chong Ren-uprisal is broken and the result is infertility symptoms or irregular menstruation. After a study on TVCDS in infertile patients, it was observed that the levels of progesterone (P) and luteinizing hormone (LH) in patients with irregular menstruation were significantly increased. The increase was higher than that in the control group, with an overall negative rate of 4.00%, compared with 18.00% of the control group, showing a significant difference. It also indicates that TVCDS image examination has a very significant effect on improving menstrual irregularities and reducing the incidence of adverse reactions.

H6PD Gene Polymorphisms (R453Q and D151A) and Polycystic Ovary Syndrome: A Case-Control Study in A Population of Iranian Kurdish Women

BACKGROUND

Polycystic ovary syndrome (PCOS) is known as the most common endocrine and metabolic disorder in the reproductive-age women. Due to the effects of PCOS on the physical and mental health, the investigation of the factors affecting the development of PCOS is crucial. Hexose-6-phosphate dehydrogenase (H6PD) is a microsomal enzyme that catalyzes the first two reactions of the oxidative chain of the pentose phosphate pathway. The present study examined the polymorphisms of the H6PD gene (R453Q and D151A) in PCOS patients of Iranian Kurdish women.<br />Materials and Methods: In this case-control study, a total, of 200 female volunteers in two equal groups participated in our study. The PCOS patients were selected based on the Rotterdam diagnostic criteria. The association of H6PD gene polymorphisms, D151A and R453Q, with the development of PCOS were investigated. The polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method was used for genotyping. Statistical analysis was applied by the SPSS (version 16) software.<br />Results: Statistically significant lower frequencies of AA+AG genotype (37% vs. 55%, P=0.01) and A allele (22.5%<br />vs. 34%, P=0.01) of R453Q were observed in the patients compared to the controls. In the case of D151A, no significant<br />differences were observed in the frequency of genotypes and alleles between the two groups.

CONCLUSION

The findings of this study suggest that variants of H6PD R453Q affect the risk of PCOS.

Mutational Landscape Screening Through Comprehensive In Silico Analysis for Polycystic Ovarian Syndrome-Related Genes

Polycystic ovary syndrome (PCOS) is a multifactorial endocrinopathy of indistinguishable etiopathogenesis that is liable to entail genetic and environmental machinery synergistically interacting with its phenotypic expression. It has been hypothesized that the environment secondarily interacts with genes to define the quantifiable phenotype in a primary, genetically determined, hyper-androgenic ovarian defect. The severity and prevalence of the disease are escalating due to uncontrolled diet and lifestyle, the influence of multiple environmental factors as well as genetic disorders. Many candidate genes have been identified to be one of the causes of PCOS. Different studies have been carried out to find the genetic correlation of PCOS. The mutational landscape analysis scans the entire genes for SNPs which usually occurs more frequently in patients and not in healthy individuals. In this study, an extensive computational analysis of all reported nsSNPs of the 27 selected PCOS-related genes was performed to infer the most pathogenic forms associated with PCOS. As a result, 28 genetic variants from 11 genes were predicted to be most harmful. Results of the present study can be useful for building an integrative genotype-phenotype database for further studies.