Identification of hub genes in placental dysfunction and recurrent pregnancy loss through transcriptome data mining: A meta-analysis.

Recurrent pregnancy loss (RPL) is a condition characterized by the loss of two or more pregnancies before 20 weeks of gestation. The causes of RPL are complex and can be due to a variety of factors, including genetic, immunological, hormonal, and environmental factors. This transcriptome data mining study was done to explore the differentially expressed genes (DEGs) and related pathways responsible for pathogenesis of RPL using an Insilco approach. RNAseq datasets from the Gene Expression Omnibus (GEO) database was used to extract RNAseq datasets of RPL. Meta-analysis was done by ExpressAnalyst. The functional and pathway enrichment analysis of DEGs were performed using KEGG and BINGO plugin of Cytoscape software. Protein-protein interaction was done using STRING and hub genes were identified. A total of 91 DEGs were identified, out of which 10 were downregulated and 81 were upregulated. Pathway analysis indicated that majority of DEGs were enriched in immunological pathways (IL-17 signalling pathway, TLR-signalling pathway, autoimmune thyroid disease), angiogenic VEGF-signalling pathway and cell-cycle signalling pathways. Of these, 10 hub genes with high connectivity were selected (CXCL8, CCND1, FOS, PTGS2, CTLA4, THBS1, MMP2, KDR, and CD80). Most of these genes are involved in maintenance of immune response at maternal-fetal interface. Further, in functional enrichment analyses revealed the highest node size in regulation of biological processes followed by cellular processes, their regulation and regulation of multicellular organismal process. This in-silico transcriptomics meta-analysis findings could potentially contribute in identifying novel biomarkers and therapeutic targets for RPL, which could lead to the development of new diagnostic and therapeutic strategies for this condition.

Estrogen Receptor 1 Gene Polymorphism and its Association with Idiopathic Short Stature in North Indian Population.

Background: In the hypothalamic-pituitary-gonadotrophin (HPG) axis, estrogen plays a key role in the bone maturation regulation and growth plates closure. This study was designed to explore the link between single nucleotide polymorphisms (SNPs) in estrogen receptor 1 (ESR1) gene with idiopathic short stature (ISS) susceptibility in the North Indian population. Methods: Four SNPs of the ESR1 gene (rs543650, rs6557177, rs2234693 and rs9340799) were genotyped by Sanger sequencing in 52 ISS patients and 68 controls. Linkage disequilibrium (LD) and haplotyping were done by SNPstat and SHESISplus softwares. Extent of LD was determined by calculating D' and r2 values in SNPs paired combinations. Results: A significant positive association was found between rs6557177 and rs543650 genotype and ISS susceptibility as compared to controls. The frequencies of the rs6557177 CC genotype (p=0.030; OR=0.13; 95% CI:0.01-1.10) and rs543650 genotype TT (p =0.043; OR=0.29; 95% CI: 0.09-0.92) were observed to be increased in ISS group as compared with the control group. However, no significant correlation was observed between clinical parameters of patients and these SNPs. rs543650 shown strong LD with rs2234693 and rs9340799, similarly rs2234693 and rs9340799. Conclusion: Our study showed that CC genotype at rs6557177 and TT genotype of rs543650 of ESR1 constitutes risk factor for developing ISS in North Indian children. In the future, these findings may lead to a better understanding of the SNPs associated with ISS susceptibility.