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

小桶 系统药理学 计算生物学 对接(动物) 机制(生物学) 药理学 生物 木犀草素 基因 基因本体论 生物化学 医学 药品 基因表达 槲皮素 哲学 护理部 认识论 抗氧化剂
作者
Xiaoya Cui,Jian Liu,Lili Zhang,Xiaoli Wang,Xiaochuang Liu,Hui Jiang
出处
期刊:Naunyn-schmiedebergs Archives of Pharmacology [Springer Science+Business Media]
卷期号:395 (9): 1061-1073 被引量:6
标识
DOI:10.1007/s00210-022-02260-0
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-α 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-α, 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.
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