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Differentially expressed miRNAs in premature infants with retinopathy-a bioinformatics analysis

Yang Yang1, Jing-Jing Pan2, Xiao-Guang Zhou1

  • 1Department of Neonatology, Children's Hospital Affiliated to Nanjing Medical University, Nanjing 210008, Jiangsu Province, China.

International Journal of Ophthalmology
|June 5, 2018
PubMed

Insights

This study used bioinformatics to analyze microRNAs (miRNAs) in retinopathy of prematurity (ROP). Key miRNAs, lncRNAs, circRNAs, and signaling pathways were identified, offering insights into ROP development.

Area of Science:

  • Ophthalmology
  • Genetics
  • Bioinformatics

Background:

  • Retinopathy of prematurity (ROP) is a significant cause of vision impairment in premature infants.
  • The molecular mechanisms underlying ROP, particularly the role of non-coding RNAs, require further elucidation.

Purpose of the Study:

  • To identify differentially expressed microRNAs (miRNAs) involved in retinopathy of prematurity (ROP) using bioinformatics analysis.
  • To predict and analyze related target genes, long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs).

Main Methods:

  • Utilized publicly available miRNA expression profile data from ROP and control groups.
  • Performed bioinformatics analysis to identify differentially expressed miRNAs, lncRNAs, circRNAs, and target genes.
  • Conducted functional enrichment analysis on target genes to explore associated signaling pathways.

Main Results:

  • Identified hsa-miRNA-128-3p and hsa-miRNA-9-5p as significantly differentially expressed in ROP.
  • Found differential expression of lncRNAs (POLDIP2, GAS5, NEFL, UHRF1), circRNAs (ZNF280C_hsa_circ_001211, SIAE_hsa_circ_002083), and target gene QKI in ROP.
  • Enrichment analysis implicated TGF-β, PI3K-Akt, and MAPK signaling pathways in ROP progression.

Conclusions:

  • This bioinformatics analysis provides a comprehensive overview of differentially expressed miRNAs potentially involved in ROP.
  • The identified molecular players and pathways offer potential targets for understanding and managing ROP.
Abstract

Keywords:
bioinformaticsmicroRNAretinopathy of prematurity

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