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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JCNR</journal-id><journal-title-group><journal-title>Journal of Clinical and Nursing Research</journal-title></journal-title-group><issn>2208-3685</issn><eissn>2208-3693</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jcnr.v9i5.10719</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on Predicting the Nephrotoxicity Mechanism of Lianqiao-4 Based on Network Pharmacology and Molecular Docking</title><url>https://artdesignp.com/journal/JCNR/9/5/10.26689/jcnr.v9i5.10719</url><author>BaiQingchun,BaiGala,WangHuan</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>9</volume><issue>5</issue><history><date date-type="pub"><published-time>2025-06-04</published-time></date></history><abstract>Objective: To predict the nephrotoxicity mechanism of Lianqiao-4 through network pharmacology and molecular docking methods. Methods: The main chemical components of Lianqiao (Forsythia suspensa), Bistortae rhizoma, Ophiopogonis radix, and Clematidis radix et rhizoma, as well as nephrotoxicity-related targets, were screened through databases such as TCMSP, Swiss Target Prediction, GeneCards, and ETCM. Venny 2.1.0 was used to identify the main components of Lianqiao-4 and nephrotoxicity targets. The STRING platform and David database were utilized to construct a protein-protein interaction (PPI) network diagram, while gene function (GO) enrichment analysis and KEGG pathway analysis were conducted. The “Lianqiao-4 active ingredients-nephrotoxicity targets-signaling pathways” network model was constructed using Cytoscape 3.9.1 software. Results: Network pharmacology and molecular docking analysis revealed that the core active ingredients responsible for the nephrotoxicity mechanism of Mongolian medicine Lianqiao-4 include steroidal saponins such as ophiopogonin A, flavonoids like kaempferol and quercetin, steroidal compounds such as β-sitosterol and sitosterol, and other key regulatory targets including STAT3, ABCG2, HSP90AA1, MMP9, PTGS2, and EGFR. Major pathways involved include lipid and atherosclerosis, chemical carcinogenesis - DNA adducts, and arachidonic acid metabolism. 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