Identification of Key Molecules in Recurrent Miscarriage Based on Bioinformatics Analysis

Area of Science:

• Reproductive Biology
• Genomics
• Molecular Medicine

Background:

• Recurrent miscarriage (RM) affects 1-5% of couples, with unclear underlying mechanisms.
• Understanding the molecular basis of RM is crucial for developing effective treatments.

Purpose of the Study:

• To explore the molecular mechanisms of RM.
• To identify potential molecular biomarkers for RM.
• To construct a miRNA-mRNA regulatory network in RM.

Main Methods:

• Utilized microarray datasets (GSE73025, GSE22490) from the GEO database for mRNA and miRNA profiling.
• Identified differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs) using specified statistical thresholds.
• Performed functional enrichment analysis (GO, KEGG) and constructed a miRNA-mRNA regulatory network.

Main Results:

• Identified 373 DEGs and 206 DEMs.
• Enrichment analysis revealed pathways involved in Fc-gamma receptor signaling and the neurotrophin signaling pathway.
• Screened 6 hub genes (FPR1, C5AR1, CCR1, ADCY7, CXCR2, NPY) and constructed a miRNA-mRNA network, including specific miRNA-mRNA pairs.

Conclusions:

• Novel differentially expressed molecules were identified in RM.
• These findings provide new perspectives on RM pathogenesis.
• Potential biomarkers and therapeutic targets for RM diagnosis and treatment were proposed.