Integrative bioinformatics analysis and experimental validation of key biomarkers for risk stratification in primary biliary cholangitis
Authors' conclusion
In summary, combining bioinformatics analysis and experiment validation, we identified TXNIP, CD44, and ENTPD1 as promising biomarkers for risk stratification in PBC patients.
Study context
- Population
- Patients with primary biliary cholangitis (PBC)
- Outcome
- Identification of patients at risk of disease progression (risk stratification)
Methodological detailsGene Expression Omnibus (GEO) microarray datasets, validation in public datasets and PBC mouse model, validation in clinical serum samples
- GEO microarray datasets
- Validation in public datasets and PBC mouse model
- Validation in clinical serum samples
Performance
As reported in the abstract
Identification of patients at risk of disease progression
| Test or model | AUC | 95% CI |
|---|---|---|
| Three-gene panel | 0.777 | 0.657-0.870 |
Three-gene panel
AUC0.777
95% CI0.657-0.870
Further findings
Differentially expressed genes (DEGs) in the GSE79850 dataset
- DEGs identified
- 166
- Upregulated genes
- 95
- Downregulated genes
- 71
- DEGs significantly enriched in inflammatory or immune-related process
Risk-related genes
- Risk-related genes recognised and validated in GSE119600 cohort
- 15
- Candidate hub genes: TXNIP, CD44, ENTPD1, PDGFRB
- 4
Original publication
Integrative bioinformatics analysis and experimental validation of key biomarkers for risk stratification in primary biliary cholangitis. Arthritis Res Ther. Published 2 October 2023. doi:10.
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