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Computational Analysis Illustrates the Mechanism of Qingfei Paidu Decoction in Blocking the Transition of COVID-19 Patients from Mild to Severe Stage

Author(s):

Xianhai Li, Liu Xiang, Yue Lin, Qiang Tang, Fanbo Meng and Wei Chen*  

Abstract:


Background: The epidemic of SARS-CoV-2 has made COVID-19 a serious threat to human health around the world. The severe infections of SARS-CoV-2 are usually accompanied by higher mortality. Although the Qingfei Paidu Decoction (QFPDD) has been proved to be effective in blocking the transition of COVID-19 patients from mild to severe stage, its mechanism remains unclear.

Objective: This study aims to explore the mechanism of QFPDD in blocking the transition of COVID-19 patients from mild to severe stage.

Materials and Methods: In the process of screening active ingredients, oral bioavailability (OB) and drug likeness (DL) are key indicators, which can help to screen out pivotal compounds. Therefore, with the criteria of OB≥30% and DL≥0.18 , we searched active ingredients of QFPDD in the Traditional Chinese Medicine Systems Pharmacology (TCMSP, https://tcmspw.com/) by using its 21 herbs as keywords.

Results: We filtered out 6 pivotal ingredients from QFPDD by using the bioinformatics method, namely quercetin, luteolin, berberine, hederagenin, shionone and kaempferol, which can inhibit the highly expressed genes (i.e. CXCR4, ICAM1, CXCL8, CXCL10, IL6, IL2, CCL2, IL1B, IL4, IFNG) in severe COVID-19 patients. By performing KEGG enrichment analysis, we found seven pathways, namely TNF signaling pathway, IL-17 signaling pathway, Toll-like receptor signaling pathway, NF-kappa B signaling pathway, HIF-1 signaling pathway, JAK-STAT signaling pathway, and Th17 cell differentiation, by which QFPDD could block the transition of COVID-19 patients from mild to severe stage.

Conclusion: QFPDD can prevent the deterioration of COVID-19 in the following mechanisms, i.e. inhibiting SARS-CoV-2 invasion and replication, anti-inflammatory and immune regulation, and repairing body damage. These results will be helpful for the prevention and treatment of COVID-19.

Keywords:

SARS-CoV-2; COVID-19; network pharmacology; protein-protein interaction; KEGG pathway; molecular docking

Affiliation:

Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137



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