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Updated: Aug 3, 2026

Imaging Approaches to Assessments of Toxicological Oxidative Stress Using Genetically-encoded Fluorogenic Sensors
Published on: February 7, 2018
Identification and validation of oxidative stress-related genes in biliary atresia
Liying Rong1, Mengxin Zhang1, Junni Ma1
1Department of Pediatric Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Purpose:
Increasing evidence has indicated a role of oxidative stress in the pathogenesis of biliary atresia (BA). This study aimed to identify key oxidative stress-related biomarkers in BA and explore their therapeutic potential.
Methods:
BA datasets were obtained from the GEO database. Differentially expressed genes (DEGs) were identified using the GSE46960 dataset. These DEGs were intersected with oxidative stress-related genes from GeneCards to obtain the oxidative stress-related DEGs (ORDEGs). Functional enrichment (GO, KEGG) and gene set enrichment analyses were performed. Hub genes were identified using machine learning and protein-protein interaction (PPI) network analysis. Their expression was validated via qRT-PCR in BA patient liver samples and rhesus rotavirus (RRV)-induced mouse models. Potential transcription factors (TFs), microRNAs, and drugs targeting hub ORDEGs were predicted using TRRUST, TarBase, and DSigDB, respectively.
Results:
Six hub ORDEGs (CCL2, CXCL8, SPP1, EDN1, TGFB3, and F3) were ultimately identified. Their mRNA levels were significantly upregulated in both BA patients and mice. A total of 52 TFs and 13 microRNAs were identified. Among the predicted drugs, simvastatin may hold therapeutic potential.
Conclusion:
This study identified six key ORDEGs (CCL2, CXCL8, SPP1, EDN1, TGFB3, and F3) to be important pathogenic factors and potential therapeutic targets in BA.
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