Aiyuan Cai1,
Siting Xu1,
Jie He2,
Meiping Shi1,
Lanlin You1,
Zhongbin Pan1,
Yanxia Zheng3
For correspondence:- Yanxia Zheng Email: zhengyanxiamed@outlook.com
Received: 9 May 2023 Accepted: 7 December 2024 Published: 30 December 2024
Citation: Cai A, Xu S, He J, Shi M, You L, Pan Z, et al. Utilizing network pharmacology to investigate the probable mechanism of Danshen chuanxiong drug pair in Kawasaki disease. Trop J Pharm Res 2024; 23(12):2001-2015 doi: 10.4314/tjpr.v23i12.5
© 2024 The authors.
This is an Open Access article that uses a funding model which does not charge readers or their institutions for access and distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) and the Budapest Open Access Initiative (http://www.budapestopenaccessinitiative.org/read), which permit unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited..
Purpose: To investigate the primary components and effect of Danshen-Chuanxiong (DS-CX) in the treatment of Kawasaki disease. Methods: Active ingredients of DS-CX and targets of action were screened via the Traditional Chinese Medicine Systematic Pharmacology (TCMSP) and SwissTargetPrediction databases. Targets of Kawasaki disease were queried in OMIM, GeneCards, DRUGBANK, and Disgenet databases, and intersected with drug targets. Protein-protein interaction maps (PPIs) were constructed using STRING database and Cytoscape software, and core genes of Kawasaki disease were screened. Pathway enrichment analyses (DAVID database, Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG)) were conducted for DS-CX targeting Kawasaki disease crossover targets. Results: A total of 64 active ingredients and corresponding potential target genes of DS-CX were obtained. Also, 928 human genes related to Kawasaki disease were obtained from OMIM, DRUGBANK, GeneCards and Disgenet databases. Potential target genes of DS-CX was intersected with 928 human Kawasaki disease-related genes, and a total of 55 genes were screened. The PPI network was built using STRING database and Cyotoscape software, and overlapping genes were further screened. A total of 61 active ingredients were screened for their effects on Kawasaki disease-related targets. GOfunction analysis revealed that DS-CX affected Kawasaki disease by positively regulating gene ex
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