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Related Experiment Video

Updated: Feb 12, 2026

A Novel Human Epithelial Enteroid Model of Necrotizing Enterocolitis
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Identification of candidate genes for necrotizing enterocolitis based on microarray data.

Guanglin Chen1, Yang Li1, Yang Su1

  • 1State Key Laboratory of Reproductive Medicine, Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Department of Pediatric Surgery, Children's Hospital of Nanjing Medical University, Nanjing 210008, China.

Gene
|April 2, 2018
PubMed
Summary

Necrotizing enterocolitis (NEC) is a severe neonatal disease with unclear mechanisms. This study identified key genes like AGT, IL8, KNG1, ACACB, and CAT, offering new insights into NEC pathogenesis and potential therapeutic targets.

Keywords:
Differentially-expressed genesModule analysisNecrotizing enterocolitisProtein-protein interaction networkSub-pathway analysis

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Area of Science:

  • Neonatal Medicine
  • Genomics
  • Bioinformatics

Background:

  • Necrotizing enterocolitis (NEC) is a life-threatening condition in neonates with ambiguous pathogenesis.
  • Current understanding of NEC prevention and treatment remains limited, necessitating further research into its underlying mechanisms.

Purpose of the Study:

  • To identify key genes associated with necrotizing enterocolitis (NEC).
  • To provide novel insights into the molecular mechanisms driving NEC development and progression.
  • To identify potential diagnostic or therapeutic targets for NEC.

Main Methods:

  • Utilized gene expression data (GSE46619) from NEC patients and surgical controls.
  • Screened differentially expressed genes (DEGs) using Limma package in R.
  • Performed Gene Ontology (GO) and pathway enrichment analyses via DAVID.
  • Constructed a protein-protein interaction (PPI) network using Cytoscape and identified hub genes.
  • Analyzed significantly enriched sub-pathways using iSubpathwayMiner.

Main Results:

  • Identified 2629 DEGs between NEC and control samples (367 up-regulated, 2262 down-regulated).
  • Discovered hub genes including AGT, IL8, and KNG1 through PPI network analysis.
  • Highlighted critical genes like ACACB and CAT within enriched sub-pathways (e.g., Tryptophan, Fatty acid, Arachidonic acid metabolism).
  • Validated expression of key genes (AGT, IL8, KNG1, ACACB, CAT) in NEC samples via QRT-PCR.

Conclusions:

  • Identified AGT, IL8, KNG1, ACACB, and CAT as crucial genes in NEC pathogenesis.
  • These findings provide a deeper understanding of NEC mechanisms.
  • The identified genes represent potential targets for future therapeutic strategies in NEC.