To explore the material basis and mechanism of Lianhua Qingwen Prescription against COVID-19 based on network pharmacology

W. Peng, D. Han, Yong Xu, F. Feng, Zhichao Wang, C. Gu, Xianmei Zhou, Hailang He
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引用次数: 5

Abstract

Objective: In the treatment of COVID-19, the application of Lianhua Qingwen Prescription has become growingly widespread, however, the mechanism of action is still unclear. To explore the material basis and mechanism of Lianhua Qingwen Prescription against SARS-CoV-2, to provide a reference for the treatment of COVID-19.Methods: Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), SwissTargetPrediction, and Similarity Ensemble Approach (SEA) database were used to search the chemical constituents and targets of Lianhua Qingwen Prescription. The targets of COVID-19 were screened by GeneCards, Therapeutic Target Database (TTD), and Comparative Toxicogenomics Database (CTD). Cytoscape software was used to construct a “drug-component-target” network diagram and the mechanism of action was predicted by enrichment analysis.Results: Two hundred and twenty four active components, 246 drug therapeutic targets, and 16,611 potential targets of Lianhua Qingwen Prescription were mined out. Moreover, 163 common targets were obtained, including PTGS2, IL6, CASP3, mapk1, EGFR, ACE2, etc. Thirty seven items were obtained by Gene Ontology (GO) enrichment analysis, mainly involving T-cell activation, virus receptor, and inflammatory reaction, etc. One hundred and forty items were obtained by Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enriched analysis, including TNF signaling pathway, MAPK signaling pathway, and IL-17 signaling pathway.Conclusion: Compounds such as quercetin and kaempferol play an important role in anti-COVID-19 through the TNF signaling pathway and MAPK signaling pathway.
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基于网络药理学探讨莲花清瘟方抗新冠肺炎的物质基础及作用机制
目的:连花清瘟方在新型冠状病毒肺炎治疗中的应用日益广泛,但其作用机制尚不清楚。探讨莲花清瘟方抗SARS-CoV-2的物质基础和作用机制,为治疗COVID-19提供参考。方法:采用中药系统药理学数据库与分析平台(TCMSP)、SwissTargetPrediction数据库和相似集成方法(SEA)数据库对连花清温方的化学成分和靶点进行检索。通过GeneCards、治疗靶点数据库(TTD)和比较毒物基因组学数据库(CTD)筛选COVID-19靶点。利用Cytoscape软件构建“药物-组分-靶点”网络图,并通过富集分析预测其作用机制。结果:共发现莲花清温方有效成分224种,药物治疗靶点246个,潜在靶点16611个。共获得163个共同靶点,包括PTGS2、IL6、CASP3、mapk1、EGFR、ACE2等。通过基因本体(Gene Ontology, GO)富集分析得到37个项目,主要涉及t细胞活化、病毒受体、炎症反应等。通过京都基因与基因组百科全书(KEGG)通路富集分析获得140条,包括TNF信号通路、MAPK信号通路、IL-17信号通路。结论:槲皮素、山奈酚等化合物通过TNF信号通路和MAPK信号通路在抗covid -19中发挥重要作用。
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To explore the material basis and mechanism of Lianhua Qingwen Prescription against COVID-19 based on network pharmacology Advances in treatment of COVID-19 A new strategy for treatment of Anosmia and Ageusia in COVID-19 patients Launch of an Open Access peer-reviewed journal on the treatment of respiratory diseases with integrated traditional Chinese and Western medicine
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