目的：采用网络药理学研究小秦艽花抗炎作用的潜在作用机制。方法：通过文献检索,并结合 Swiss Target Prediction等数据库筛选小秦艽花中的化学成分及其作用靶点。通过TTD等数据库筛选炎症相关靶点,使用Cytoscape 3.7.2 软件构建“活性成分-靶点”网络和蛋白质相互作用网络,采用 DAVID 数据库对靶点进行GO分析及 KEGG 通路分析。结果：筛选出小秦艽花活性成分23个,预测出27个作用靶点。网络分析结果表明,小秦艽花主要涉及PTGS2(前列腺素内过氧化物合酶2)等关键蛋白以及response to oxidative stress(氧化应激反应)等生物过程,通过调节TNF-α signaling pathway(肿瘤坏死因子α信号通路)等通路来发挥抗炎作用。结论：小秦艽花的抗炎作用体现了其多成分、多靶点、多通路的作用特点,为深入阐释小秦艽花抗炎作用机制提供科学依据。

Objective This study aims at the potential mechanism of flowers of Gentianadahurica on anti-inflammatory through network pharmacology. Methods Through literature research, combined with Swiss Target Prediction and other databases, the active compounds of flowers of Gentianadahuricawere and their potential targets are filtered. Through TTD other databases, the Inflammation-related targets are screened out. The active ingredient-target network and PPI protein interaction network were established using Cytoscape 3.7.2 software.GO functional analysis and KEGG pathway enrichment analysis of targets were performed using DAVID database. Results 23 active components of flowers of Gentianadahurica were screened out, and 27 target targets were predicted. The results of network analysis indicate that flowers of Gentianadahurica is mainly involved in key proteins such as PTGS2 and biological processes such as response to oxidative stress, and exerts anti-inflammatory effects by regulating TNF-Α signaling pathway and other pathways.Conclusion The anti-inflammatory effect of flowers of Gentianadahurica. embodies its multi-component, multi-target, and multi-pathway features, which provides a scientific basis for the in-depth interpretation of the mechanism of the anti-inflammatory effect of flowers of Gentianadahurica.

R29

课题项目：内蒙古自治区科学技术厅2020年内蒙古自治区科技成果转化项目(2020),人才团队项目：内蒙古自治区党委组织部2012年内蒙古自治区草原英才创新团队项目(2012-2021)