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. 2020 Sep 24:13:15.
doi: 10.1186/s13040-020-00225-8. eCollection 2020.

Therapeutic mechanism of Toujie Quwen granules in COVID-19 based on network pharmacology

Affiliations

Therapeutic mechanism of Toujie Quwen granules in COVID-19 based on network pharmacology

Ying Huang et al. BioData Min. .

Abstract

Background: Chinese medicine Toujie Quwen granule (TJQW) has proven to be effective in the treatment of mild coronavirus disease 2019 (COVID-19) cases by relieving symptoms, slowing the progression of the disease, and boosting the recovery of patients. But the bioactive compounds and potential mechanisms of TJQW for COVID-19 prevention and treatment are unclear. This study aimed to explore the potential therapeutic mechanism of TJQW in coronavirus disease 2019 (COVID-19) based on an integrated network pharmacology approach.

Methods: TCMSP were used to search and screen the active ingredients in TJQW. The Swiss TargetPrediction was used to predict the potential targets of active ingredients. Genes co-expressed with ACE2 were considered potential therapeutic targets on COVID-19. Venn diagram was created to show correlative targets of TJQW against COVID-19. Cytoscape was used to construct a "drug-active ingredient-potential target" network, STRING were used to construct protein-protein interaction network, and cytoHubba performed network topology analysis. Enrichment of biological functions and signaling pathways of core targets was performed by using the clusterProfiler package in R software and ClueGO with CluePedia plugins in Cytoscape.

Results: A total of 156 active ingredients were obtained through oral bioavailability and drug-likeness screenings. Two hundred twenty-seven potential targets of TJQW were related to COVID-19. The top ten core targets are EGFR, CASP3, STAT3, ESR1, FPR2, F2, BCL2L1, BDKRB2, MPO, and ACE. Based on that, we obtained 19 key active ingredients: umbelliprenin, quercetin, kaempferol, luteolin, praeruptorin E, stigmasterol, and oroxylin A. And the enrichment analysis obtained multiple related gene ontology functions and signaling pathways. Lastly, we constructed a key network of "drug-component-target-biological process-signaling pathway". Our findings suggested that TJQW treatment for COVID-19 was associated with elevation of immunity and suppression of inflammatory stress, including regulation of inflammatory response, viral process, neutrophil mediated immunity, PI3K-Akt signaling pathway, MAPK signaling pathway, Jak-STAT signaling pathway, Complement and coagulation cascades, and HIF-1 signaling pathway.

Conclusions: Our study uncovered the pharmacological mechanism underlying TJQW treatment for COVID-19. These results should benefit efforts for people around the world to gain more knowledge about Chinese medicine TJQW in the treatment of this vicious epidemic COVID-19, and help to address this pressing problem currently facing the world.

Keywords: COVID-19; Network pharmacology; Potential therapeutic targets; Signaling pathways; Toujie Quwen granule.

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Conflict of interest statement

Competing interestsThe authors declare that they have no conflict of interests.

Figures

Fig. 1
Fig. 1
Overall workflow of this study
Fig. 2
Fig. 2
A total of 1033 and 3525 targets of TJQW and COVID-19, respectively, and they shared 227 targets
Fig. 3
Fig. 3
Drug-active ingredient-potential target network (purple color represents drugs, green color represents active ingredients, and red color represents potential targets, active ingredients are identified by molecular ID)
Fig. 4
Fig. 4
The PPI network of top 30 highest degree
Fig. 5
Fig. 5
The GO enrichment analysis (P < 0.05)
Fig. 6
Fig. 6
The KEGG pathways enrichment analysis (P < 0.05)
Fig. 7
Fig. 7
WikiPathways enrichment analysis (P < 0.05)
Fig. 8
Fig. 8
Key network of “drug-component-target-biological process- signaling pathway” (P < 0.05)

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