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Weighted gene coexpression network reveals downregulation of genes in bronchopulmonary dysplasia

Wangkai Liu1, Yihua Su2, Sitao Li3

  • 1Department of Pediatrics, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

Pediatric Pulmonology
|October 29, 2020
PubMed

Insights

This study identified key genes (FOS, BTG2, JUN, EGR1) downregulated in premature infants with bronchopulmonary dysplasia (BPD). Their decreased expression may serve as early diagnostic biomarkers for BPD.

Area of Science:

  • Genomics
  • Neonatal Medicine
  • Pulmonology

Background:

  • Bronchopulmonary dysplasia (BPD) is a significant cause of morbidity and mortality in premature infants.
  • Genetic factors play a complex role in BPD pathogenesis.
  • Identifying key genetic contributors is crucial for understanding and managing BPD.

Purpose of the Study:

  • To identify key genetic factors involved in the pathogenesis of bronchopulmonary dysplasia (BPD).
  • To explore gene coexpression networks associated with BPD.
  • To determine potential diagnostic biomarkers for early BPD detection.

Main Methods:

  • Weighted gene coexpression network analysis (WGCNA) was employed to construct a scale-free gene coexpression network.
  • Analysis utilized the GSE8586 dataset, including gene expression profiles from neonates with and without BPD.
  • Hub gene expression was validated in clinical samples.

Main Results:

  • A significant coexpression module downregulated in BPD was identified.
  • This module was enriched for genes involved in human T-cell leukemia virus infection and the MAPK pathway.
  • Four hub genes—FOS, BTG2, JUN, and EGR1—showed significantly decreased expression in BPD infants and were validated in clinical samples.

Conclusions:

  • Decreased expression of FOS, BTG2, JUN, and EGR1 is associated with BPD.
  • These genes represent potential biomarkers for the early diagnosis of BPD.
  • Understanding the role of these genes may lead to improved BPD management strategies.
Abstract

Keywords:
bronchopulmonary dysplasiaprediction biomarkerspreterm infantsweighted gene coexpression network analysis

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