Network pharmacology approach and molecular docking to explore the potential mechanism of Wu-Wei-Wen-Tong Chubi capsules in rheumatoid arthritis

被引:9
|
作者
Cui, Xiaoya [1 ,2 ]
Liu, Jian [1 ,3 ,4 ]
Zhang, Lili [1 ,2 ]
Wang, Xiaoli [2 ]
Liu, Xiaochuang [1 ]
Jiang, Hui [1 ,2 ,3 ,4 ]
机构
[1] Anhui Univ Chinese Med, Clin Res Expt Ctr, Affiliated Hosp 1, 117 Meishan Rd, Hefei 230031, Anhui, Peoples R China
[2] Anhui Univ Chinese Med, Coll Pharm, Hefei, Anhui, Peoples R China
[3] Applicat Fdn Res & Dev, Anhui Prov Key Lab Modern Chinese Med, Dept Internal Med, Hefei, Anhui, Peoples R China
[4] Anhui Univ Chinese Med, Key Lab Xinan Med, Minist Educ, Hefei, Anhui, Peoples R China
基金
中国国家自然科学基金;
关键词
network pharmacology; molecular docking; Wu-Wei-Wen-Tong Chubi capsule; rheumatoid arthritis; METHOTREXATE; ANGIOGENESIS; CARTILAGE; IL-6; RATS;
D O I
10.1007/s00210-022-02260-0
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Network pharmacology, a holistic approach based on the theory of biological network technology, integrates information from biological systems, drugs, and diseases. Here, this theory was used to predict the targets of Wu-Wei-Wen-Tong Chubi capsule (WWWT) to explore the mechanism in the treatment of rheumatoid arthritis (RA). The ingredients of each herbal medicine in WWWT were collected from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), and the active ingredients were screened through bioavailability (OB) >= 30% and drug-likeness (DL) >= 0.18. SwissTargetPrection and TCMSP were utilized to calculate and predict the targets of active ingredients. RA-related targets were obtained by searching the Genecards and OMIM databases. The common targets of RA and WWWT were used for gene ontology (GO), KEGG pathway enrichment, protein-protein interaction (PPI) analysis, and molecular docking. And then, four key genes were screened for subsequent verification experiments. In total, 90 active compounds and 330 potential targets of WWWT, 1310 targets of RA, and 135 intersection targets were found. Additionally, GO and pathway analysis identified 4610 significant GO terms and 147 significant KEGG pathways. Based on the PPI network, 11 key genes including IL-6, MMP-9, and TNF-alpha were screened out for molecular docking. Molecular docking showed that these key genes have good binding activities to active compounds of WWWT such as oroxylin a, kaempferol, and luteolin. Simultaneously, Western blot experimental validation demonstrated that the protein expressions of IL-6, MMP-9, TNF-alpha, and VEGFA significantly decreased after WWWT treatment. The mechanism of WWWT in treating RA involves multiple active compounds acting on multiple targets, and multiple pathways, which provides an important reference for further elucidation the mechanism and clinical applications of WWWT in the treatment of RA.
引用
收藏
页码:1061 / 1073
页数:13
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