Liver fibrosis in biliary atresia: identification of the key gene EDIL3 via integrated bioinformatics.

ABSTRACT:

Background

Biliary atresia (BA) is one of the most destructive liver and biliary diseases in neonates and is characterized by progressive fibrous inflammatory obstruction of the intrahepatic and extrahepatic bile ducts, ultimately leading to liver fibrosis and liver failure. This study aimed to use integrated bioinformatics methods to identify differentially expressed genes (DEGs) in BA liver tissue, identify key genes, and explore their mechanisms in liver fibrosis.

Methods

We obtained data from the gene expression omnibus (GEO) dataset GSE122340 [171 BA patients and 7 normal controls (NCs)]. DEGs were screened via the limma package, followed by gene ontology (GO)/kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis. A protein-protein interaction (PPI) network

SUBMITTER: Kong M 

PROVIDER: S-EPMC12868289 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature