The frequency of TLR2 (rs3804099, rs3804100, and rs5743708) and TLR4 (rs4986790 and rs4986791) polymorphisms in women with polycystic ovary syndrome - preliminary study

INTRODUCTION

Low-grade chronic inflammation may participate in PCOS etiology. Toll-like receptors (TLRs) may play a pivotal role in the initiation and progression of inflammatory process. We examined TLR2 and TLR4 gene polymorphisms in women with PCOS and their associations with metabolic/hormonal parameters.

MATERIAL AND METHODS

Sixty-eight women qualified for the study. PCOS was diagnosed in 40 women. The control group consisted of 28 women. All patients underwent anamnesis, physical examination, anthropometric measurements, and biochemical/hormonal assessments. The TLRs gene polymorphism was tested using PCR and the minisequencing method.

RESULTS

The frequency of TLR2 gene polymorphisms genotypes (rs3804099, rs3804100, and rs5743708) did not differ significantly between the groups. The difference in frequency of genotypes of TLR4 gene polymorphisms (rs4986790 and rs4986791) was close to the statistical significance level. No significant correlations between TLR2/TLR4 polymorphisms and anthropometric/metabolic parameters in PCOS group were observed. However, the relationship between HDL concentration and TLR2 S450S (rs3804100) polymorphism was close to the statistical significance level. Positive correlations between the two TLR4 polymorphisms (rs4986790 and rs4986791) were found, as well as between the TLR2 S450S (rs3804100) gene polymorphism and FSH concentration.

CONCLUSIONS

The TLR4 gene polymorphism may play a role in the PCOS etiopathogenesis but this observation needs further investigation.

Construction of a ceRNA-based lncRNA-mRNA network to identify functional lncRNAs in polycystic ovarian syndrome

Polycystic ovary syndrome (PCOS) is a prevalent endocrine and metabolic disorder in women of childbearing age. Recent studies suggest important roles for lncRNAs in PCOS development. Based on the hypothesis that lncRNAs are able to regulate mRNA functions by competitive binding to shared miRNAs, the present work sought to construct a PCOS-related lncRNA-mRNA network (PCLMN) to identify key lncRNAs with dysregulated expression and potential prognostic and therapeutic relevance. A global background network was constructed after retrieving lncRNA-miRNA and miRNA-mRNA pairs from the lncRNASNP2, miRTarBase and StarBase databases. Based on gene expression profiles from ovarian granulosa cells from PCOS patients and controls in the GEO’s GSE95728 dataset, the PCLMN was then constructed by applying hypergeometric testing. Using topological analysis, we identified 3 lncRNAs (LINC00667, AC073172.1 and H19) ranking within the top-ten gene lists for all three centrality measures. We then explored their subcellular localization, performed functional module analyses, and identified 4 sex hormone-related transcription factors as potential regulators of their expression. Significant associations with inflammation, oxidative stress, and apoptosis-related processes and pathways were revealed for the key lncRNAs in our PCMLN. Further studies verifying the mRNA/lncRNA relationships identified herein are needed to clarify their clinical significance.