| Issue |
Integrat Respir Med
Volume 1, 2020
Topical Issue - Integrative Respiratory Medicine for COVID-19
|
|
|---|---|---|
| Article Number | 3 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/irm/2020004 | |
| Published online | 18 December 2020 | |
Research Article
To explore the material basis and mechanism of Lianhua Qingwen Prescription against COVID-19 based on network pharmacology
1
Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, PR China
2
Department of Respiratory Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing 210029, PR China
* Corresponding authors: zhouxianmeijs@aliyun.com; lyghehailang@163.com
Received:
28
July
2020
Accepted:
29
September
2020
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.
Key words: Lianhua Qingwen / COVID-19 / Network Pharmacology / Functioning mechanism
© W. Peng et al., Published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.