Comprehensive bioinformation analysis of differentially expressed genes in recurrent pregnancy loss

Abstract

Recurrent pregnancy loss (RPL) occurs frequently, and its causes are complex. The aetiology of nearly 50% of RPL cases is still unknown. This study aimed to ascertain differentially expressed genes (DEGs) and pathways by comprehensive bioinformatics analysis. We downloaded the gene expression microarray of GSE165004 from the Gene Expression Omnibus (GEO). Gene ontology (GO) analysis and Kyoto Encyclopaedia of Gene and Genome (KEGG) pathway enrichment analyses were performed on selected genes by using the R Programming Language. A protein–protein interaction (PPI) network was constructed with the Retrieval of Interacting Genes (STRING). Our analysis revealed that 1,869 genes were differentially expressed in RPL and control groups. GO analysis revealed that the interferon type 1 and the glycoprotein-related biological processes played irreplaceable roles, meanwhile KEGG enrichment analysis also revealed that the cAMP signalling pathway and the prolactin signalling pathway played important roles. In the following study, we found that there were many DEGs in the RPL group that were closely related to endometrial decidualization, such as IL17RD, IL16, SOX4, CREBBP, and POFUT1 as well as Notch1 and RBPJ in the Notch signalling pathway family were down-regulated in the RPL group. The results provided valuable information on the pathogenesis of RPL.

Keywords:

• Recurrent pregnancy failure
• decidualization
• bioinformatic
• differentially expressed genes

Disclosure statement

The authors report no conflict of interest.

Additional information

Funding

This work was supported by the Hebei Provincial postgraduate innovation funding project [grant number CXZZBS2021109].