连花清瘟治疗新型冠状病毒(2019-nCoV)肺炎网络药理学研究与初证

Study on the Network Pharmacology and Preliminary Evidence of Lianhua Qingwen in the Treatment of Novel Coronavirus(2019-nCoV) Pneumonia

目的:通过网络药理学探究连花清瘟治疗新型冠状病毒(2019-nCoV)肺炎的作用靶点及信号通路,阐述其作用机制。方法:利用TCMSP、TCMID数据库和相关文献筛选出连花清瘟的活性成分及靶标;通过NCBI、GenCards数据库筛选2019-nCoV的预测靶点;将两者靶点进行映射;利用STRING数据库构建蛋白互作网络图并筛选出核心靶点;再通过David进行GO、KEGG基因富集分析,最后利用Cytoscape 3.7.2软件构建化合物-关键靶点网络图。结果:筛选后共获得连花清瘟活性成分378个,潜在作用靶点282个;与2019-nCoV共同靶点55个,获得392条GO生物学过程和105条KEGG信号通路,主要富集病毒感染、炎症和免疫力。结论:连花清瘟治疗2019-nCoV肺炎其作用机制可能与广谱抗病毒、抑菌退热、止咳化痰、调节免疫等有关。

Objective:To explore the targets and signaling pathways of Lianhua Qingwen in treating novel coronavirus(2019-nCoV)pneumonia by network pharmacology and expound its mechanism.Methods:The TCMSP,TCMID databases and related literatures were used to screen out the active ingredients and targets of Lianhua Qingwen;NCBI,GenCards databases were used to screen the predicted targets of 2019-nCoV;Two targets were mapped;STRING database was used to construct the protein interaction network map and the core targets were screened out;GO,KEGG gene enrichment analysis were carried out by David,the compound-key target network was constructed using Cytoscape 3.7.2 software in the end.Results:After screening,378 active ingredients and 282 potential targets were obtained,55 common targets were obtained related with 2019-nCoV,392 GO biological processes and 105 KEGG signal pathways were obtained,mainly enriching virus infection,inflammation and immunity.Conclusion:The mechanism of Lianhua Qingwen in the treatment of 2019-nCoV pneumonia may be related to the broad spectrum antivirus,antibacterial antifebrile,cough and phlegm,immune regulation.