Published online Oct 26, 2024. doi: 10.12998/wjcc.v12.i30.6391
Revised: July 3, 2024
Accepted: August 22, 2024
Published online: October 26, 2024
Processing time: 119 Days and 13 Hours
The identification of specific gene expression patterns is crucial for understanding the mechanisms underlying primary biliary cholangitis (PBC) and finding rele
To determine PBC-associated hub genes and assess their clinical utility for disease prediction.
PBC expression data were obtained from the Gene Expression Omnibus database. Overlapping genes from differential expression analysis and weighted gene co-expression network analysis (WGCNA) were identified as key genes for PBC. Kyoto Encyclopedia of Genes and Genomes and Gene Ontology analyses were performed to explore the potential roles of key genes. Hub genes were identified in protein-protein interaction (PPI) networks using the Degree algorithm in Cytoscape software. The relationship between hub genes and immune cells was investigated. Finally, a Mendelian randomization study was conducted to deter
We identified 71 overlapping key genes using differential expression analysis and WGCNA. These genes were primarily enriched in pathways related to cytokine-cytokine receptor interaction, and Th1, Th2, and Th17 cell differentiation. We utilized Cytoscape software and identified five hub genes (CD247, IL10, CCL5, CCL3, and STAT3) in PPI networks. These hub genes showed a strong correlation with immune cell infiltration in PBC. However, inverse variance weighting analysis did not indicate the causal effects of hub genes on PBC risk.
Hub genes can potentially serve as valuable biomarkers for PBC prediction and treatment, thereby offering significant clinical utility.
Core Tip: This study identified five hub genes (CD247, IL10, CCL5, CCL3, and STAT3) associated with primary biliary cholangitis (PBC) through comprehensive bioinformatics analysis. These hub genes were enriched in immune-related pathways and strongly correlated with immune cell infiltration in PBC. Although hub genes did not have a causal effect on PBC risk, they provided valuable insights into the molecular mechanisms of PBC and showed potential as biomarkers for PBC prediction and treatment.
