by Lei Feng, Jiao He, YanLing Mu, Jie Liu, Yong Yao Background Individuals with liver cirrhosis (LC) have an exceptionally high mortality rate. We aim to discover new biomarkers or new therapeutic targets for LC early diagnosis and treatment.
Methods The human LC microarray datasets were obtained from the NCBI-GEO database. Firstly, differentially expressed analysis and WGCNA were performed to detect LC key genes.
Protein-protein interaction (PPI) hubs revealed new regulatory mechanisms for LC-related genes. Functional enrichment and immune infiltration analyses were employed to reveal underlying mechanisms of LC progression.
Then, key genes were further screened for constructing diagnostic nomogram for LC and predicting the prognosis of LC. CB-Dock-2 was employed to explore potential therapeutic agents for LC based on the identified key genes.Finally, immunohistochemistry was performed to detect the expression levels of the key genes in liver tissues from patients with liver cirrhosis and healthy controls.
Results The integrated LC dataset identified 749 LC key genes by intersecting WGCNA and differential expression analyses.
PLOS ONE (Medicine) published a clinical update in Research Highlights on 03 Jun 2026.
The item focuses on Exploring the roles of genes associated with leukocyte transendothelial migration in liver cirrhosis development.
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