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Published in: Arthritis Research & Therapy 1/2023

Open Access 01-12-2023 | Primary Biliary Cholangitis | Research

Integrative bioinformatics analysis and experimental validation of key biomarkers for risk stratification in primary biliary cholangitis

Authors: Siyuan Tian, Yinan Hu, Miao Zhang, Kemei Wang, Guanya Guo, Bo Li, Yulong Shang, Ying Han

Published in: Arthritis Research & Therapy | Issue 1/2023

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Abstract

Background

Primary biliary cholangitis (PBC) is an autoimmune liver disease, whose etiology is yet to be fully elucidated. Currently, ursodeoxycholic acid (UDCA) is the only first-line drug. However, 40% of PBC patients respond poorly to it and carry a potential risk of disease progression. So, in this study, we aimed to explore new biomarkers for risk stratification in PBC patients to enhance treatment.

Methods

We first downloaded the clinical characteristics and microarray datasets of PBC patients from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified and subjected to enrichment analysis. Hub genes were further validated in multiple public datasets and PBC mouse model. Furthermore, we also verified the expression of the hub genes and developed a predictive model in our clinical specimens.

Results

A total of 166 DEGs were identified in the GSE79850 dataset, including 95 upregulated and 71 downregulated genes. Enrichment analysis indicated that DEGs were significantly enriched in inflammatory or immune-related process. Among these DEGs, 15 risk-related genes were recognized and further validated in the GSE119600 cohort. Then, TXNIP, CD44, ENTPD1, and PDGFRB were identified as candidate hub genes. Finally, we proceeded to the next screening with these four genes in our serum samples and developed a three-gene panel. The gene panel could effectively identify those patients at risk of disease progression, yielding an AUC of 0.777 (95% CI, 0.657–0.870).

Conclusions

In summary, combining bioinformatics analysis and experiment validation, we identified TXNIP, CD44, and ENTPD1 as promising biomarkers for risk stratification in PBC patients.
Appendix
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Metadata
Title
Integrative bioinformatics analysis and experimental validation of key biomarkers for risk stratification in primary biliary cholangitis
Authors
Siyuan Tian
Yinan Hu
Miao Zhang
Kemei Wang
Guanya Guo
Bo Li
Yulong Shang
Ying Han
Publication date
01-12-2023
Publisher
BioMed Central
Published in
Arthritis Research & Therapy / Issue 1/2023
Electronic ISSN: 1478-6362
DOI
https://doi.org/10.1186/s13075-023-03163-y

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