College of Pharmacy, Beihua University, Jilin, China.
Food Funct. 2020 Apr 30;11(4):3032-3042. doi: 10.1039/d0fo00087f.
The aim of this paper was to investigate the active components of Schisandra chinensis in the treatment of asthma and the related mechanisms by a network pharmacology approach. The active components of Schisandra chinensis and the corresponding targets were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). Eight active components in Schisandra chinensis and 56 related targets were screened out according to two indicators, oral bioavailability (OB) and drug-likeness (DL). A total of 132 targets related to asthma were screened out through Therapeutic Target Database (TTD) data. The String database and Cytoscape software were used to build the "drug-active compound-target" network and protein-protein interaction (PPI) network. The key targets were further predicted by the analysis of related biological processes and the pathway-enrichment. A total of 10 intersection targets between Schisandra chinensis and asthma were obtained by building Venn diagrams, and lignans in Schisandra chinensis were found to be associated with asthma. The key targets Ptgs2 and Nos2 were further screened out, and schisandrol B (SCB) was predicted as the most related key component to asthma. A mouse asthma model was established with ovalbumin and aluminum hydroxide for verifying the effect of SCB and related mechanisms. The results showed that SCB could inhibit the gene expression of proinflammatory factors to play a therapeutic role in asthma by reducing the expression of Nos2 and Ptgs2 and regulating the NF-κB signaling pathway to intervene in the process of cell metabolism in mice. These results suggest that SCB can alleviate the severity of asthma through the mechanisms predicted by network pharmacology, and provide a basis for further understanding of the application of Schisandra chinensis in the treatment of asthma.
本文采用网络药理学方法研究五味子治疗哮喘的活性成分及相关机制。五味子的活性成分及相应靶点从中药系统药理学数据库与分析平台(TCMSP)中获得。根据口服生物利用度(OB)和类药性(DL)两个指标,筛选出五味子中的 8 种活性成分和 56 个相关靶点。通过治疗靶点数据库(TTD)数据筛选出与哮喘相关的 132 个靶点。使用 String 数据库和 Cytoscape 软件构建“药物-活性化合物-靶点”网络和蛋白质-蛋白质相互作用(PPI)网络。通过对相关生物过程和通路富集的分析,进一步预测关键靶点。通过构建 Venn 图获得五味子与哮喘的 10 个交集靶点,发现五味子中的木脂素与哮喘有关。进一步筛选出关键靶点 Ptgs2 和 Nos2,并预测五味子醇 B(SCB)是与哮喘最相关的关键成分。用卵清蛋白和氢氧化铝建立哮喘小鼠模型,验证 SCB 的作用及相关机制。结果表明,SCB 可通过降低 Nos2 和 Ptgs2 的表达,调节 NF-κB 信号通路,干预小鼠细胞代谢过程,抑制促炎因子的基因表达,发挥治疗哮喘的作用。这些结果提示,SCB 可通过网络药理学预测的机制缓解哮喘的严重程度,为进一步了解五味子在哮喘治疗中的应用提供依据。