Genome-wide profiling of miRNA expression patterns in tubal endometriosis

Reproduction. 2019 Jun;157(6):525-534. doi: 10.1530/REP-18-0631.

Abstract

MicroRNA (miRNA) expression profiles in tubal endometriosis (EM) are still poorly understood. In this study, we analyzed the differential expression of miRNAs and the related gene networks and signaling pathways in tubal EM. Four tubal epithelium samples from tubal EM patients and five normal tubal epithelium samples from uterine leiomyoma patients were collected for miRNA microarray. Bioinformatics analyses, including Ingenuity Pathway Analysis (IPA), Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, were performed. Quantitative real-time polymerase chain reaction (qRT-PCR) validation of five miRNAs was performed in six tubal epithelium samples from tubal EM and six from control. A total of 17 significantly differentially expressed miRNAs and 4343 potential miRNA-target genes involved in tubal EM were identified (fold change >1.5 and FDR-adjusted P value <0.05). IPA indicated connections between miRNAs, target genes and other gynecological diseases like endometrial carcinoma. GO and KEGG analysis revealed that most of the identified genes were involved in the mTOR signaling pathway, SNARE interactions in vesicular transport and endocytosis. We constructed an miRNA-gene-disease network using target gene prediction. Functional analysis showed that the mTOR pathway was connected closely to tubal EM. Our results demonstrate for the first time the differentially expressed miRNAs and the related signal pathways involved in the pathogenesis of tubal EM which contribute to elucidating the pathogenic mechanism of tubal EM-related infertility.

MeSH terms

  • Adult
  • Case-Control Studies
  • Computational Biology
  • Endometriosis / genetics*
  • Endometriosis / pathology
  • Fallopian Tubes / metabolism*
  • Fallopian Tubes / pathology
  • Female
  • Gene Expression Profiling*
  • Gene Regulatory Networks*
  • Genome, Human*
  • Humans
  • MicroRNAs / genetics*
  • Middle Aged
  • Signal Transduction

Substances

  • MicroRNAs