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

被引:16
|
作者
Li, Xianhai [1 ,2 ]
Xiang, Liu [1 ,2 ]
Lin, Yue [1 ,3 ]
Tang, Qiang [1 ]
Meng, Fanbo [1 ]
Chen, Wei [1 ,2 ,3 ,4 ]
机构
[1] Chengdu Univ Tradit Chinese Med, Innovat Inst Chinese Med & Pharm, Chengdu 611137, Peoples R China
[2] Chengdu Univ Tradit Chinese Med, Sch Pharm, Chengdu 611137, Peoples R China
[3] Chengdu Univ Tradit Chinese Med, Sch Basic Med Sci, Chengdu 611137, Peoples R China
[4] North China Univ Sci & Technol, Sch Life Sci, Tangshan 063210, Peoples R China
关键词
SARS-CoV-2; COVID-19; network pharmacology; protein-protein interaction; KEGG pathway; molecular docking; CORONAVIRUS DISEASE 2019; NETWORK PHARMACOLOGY; CYTOKINE STORM; PREDICTION; MOLECULES; ADHESION;
D O I
10.2174/1566523221666210907162005
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
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.comi) 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.
引用
收藏
页码:277 / 289
页数:13
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