|
|
Prediction of Allopurinol-Induced Renal Injury Markers and Pharmacovigilance Based on ceRNA Network and Molecular Docking
GAO Fujun, ZHANG Xiaomeng, CHEN Lijuan, CAI Haili, LIU Xinlong, ZHANG Bing
2025, 22(11):
1211-1216.
DOI: 10.19803/j.1672-8629.20250575
Objective To predict the renal injury markers of allopurinol, study the effect of allopurinol combined with traditional Chinese medicine (TCM), and provide a new strategy for pharmacovigilance of allopurinol. Methods The transcriptome data on rat renal tubular cells from the normal group and from the allopurinol-treated group were obtained from the microarray (GSE214358) in the GEO database. R language was used to analyze the differentially expressed genes (DEGs). Enrichment analyses of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) as well as protein-protein interaction (PPI) network analysis were conducted to screen key DEGs. Databases including miRwalk, TargetScan, starBase and miRDB were searched to predict the target microRNA (microRNA, miRNA) of the key DEGs. Lncbase and starBase were used to predict the long non-coding RNA (Long non-coding RNA, lncRNA) targeted by these miRNA. Cytoscape was used to construct the mRNA-miRNA-lncRNA competing endogenous RNA (competing endogenouse RNA, ceRNA) regulatory network. Additionally, molecular docking was performed to verify the binding properties of allopurinol and its active metabolites to the key DEGs. Results The GSE214358 data chip had a total of 1649 DEGs, mainly involved in such metabolic pathways as valine, leucine and isoleucine degradation and β-alanine metabolism. Via PPI analysis and CytoHubba, 10 key DEGs were obtained. It was found that 7 of the key DEGs were involved in the ceRNA network, namely BCKDHB, ALDH6A1, ACADM, HWGCL, ACAT1, IVD, and OXCT1, targeting 128 miRNA, all of which corresponded to lncRNA OIP5-AS1. Molecular docking verification found that BCKDHB had the best binding characteristics with allopurinol and oxypurinol. The BCKDHB-miR-654-3p/miR-766-5p-OIP5-AS1 axis might be significantly activated in allopurinol-induced renal injury. Conclusion The BCKDHB-miR-654-3p/miR-766-5p-OIP5-AS1 axis may play an important role in allopurinol-induced renal injury. It can potentially serve as an early diagnostic biomarker that gives warnings before prescription or in the early stage of medication, so it offers a new strategy for the safe administration of allopurinol. The rational combination of allopurinol with traditional Chinese medicine can enhance therapeutic effects and reduce toxicity, providing a crucial approach to the rational use of allopurinol.
References |
Related Articles |
Metrics
|