Exosomal lncRNA and mRNA profiles in polycystic ovary syndrome: bioinformatic analysis reveals disease-related networks

Abstract

Research question: What is the role of exosomal lncRNAs and mRNAs profiles and their interaction networks in regulating the development of polycystic ovary syndrome (PCOS)?

Design: LncRNA microarray was used to analyse the expression profiles of lncRNA and mRNA in follicular fluid exosomes from three patients with polycystic ovary syndrome (PCOS) and three control women. Gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were applied to explore biological functions of exosomal mRNAs in PCOS. Six PCOS-related genes were selected, and coding-non-coding gene co-expression (CNC) networks and competing endogenous RNA (ceRNA) networks analysis were combined to reveal lncRNA-miRNA-mRNA interaction networks.

Results: A total of 5373 differentially expressed exosomal lncRNAs and 3381 differentially expressed exosomal mRNAs were identified (fold change ≥2 and P < 0.05). Gene ontology analysis indicated that 14 terms of biological process were related to reproductive development. KEGG pathway analysis revealed PCOS-related pathways, such as MAPK signalling pathway and some inflammation-related signalling pathways. Interaction networks of lncRNAs, miRNAs and six PCOS-related genes (IRS1, CYP11A1, BMP6, FSHR, WNT4 and CYP19A1) were constructed. The CNC networks and ceRNA networks analysis uncovered some novel PCOS-related exosomal lncRNA-miRNA-mRNA regulatory networks.

Conclusions: Differential expression profiles of exosomal lncRNAs and mRNAs were identified, and some PCOS-related biological processes and regulatory networks were indicated. LncRNAs and mRNAs in follicular fluid exosomes may play important roles in the follicular development of PCOS.

Keywords: Bioinformatics analysis; Exosome; Expression profiling; Follicular development; Long non-coding RNA; Polycystic ovary syndrome.