Affiliation:
1. Guangzhou University of Chinese Medicine, Guangzhou, China
2. Department of Cardiothoracic Surgery, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine. No.111, Dade Road, Yuexiu District, Guangzhou 510120, China
Abstract
Objective:
Shufeng Jiedu capsule (SFJDC) is a well-known Chinese patent drug that is recommended as a basic
prescription and applied widely in the clinical treatment of COVID-19. However, the exact molecular mechanism of SFJDC
remains unclear. The present study aims to determine the potential pharmacological mechanisms of SFJDC in the treatment
of COVID-19 based on network pharmacology.
Methods:
The network pharmacology-based strategy includes collection and analysis of active compounds and target genes,
network construction, identification of key compounds and hub target genes, KEGG and GO enrichment, recognition and
analysis of main modules, as well as molecule docking.
Results:
A total of 214 active chemical compounds and 339 target genes of SFJDC were
collected. Of note, 5 key compounds (β -sitosterol, luteolin, kaempferol, quercetin, and
stigmasterol) and 10 hub target genes (TP53, AKT1, NCOA1, EGFR, PRKCA, ANXA1,
CTNNB1, NCOA2, RELA and FOS) were identified based on network analysis. The hub target
genes mainly enriched in pathways including MAPK signaling pathway, PI3K-Akt signaling
pathway and cAMP signaling pathway, which could be the underlying pharmacological
mechanisms of SFJDC for treating COVID-19. Moreover, the key compounds had high binding
activity with three typical target proteins including ACE2, 2OFZ, and 1SSK.
Conclusions:
By network pharmacology analysis, SFJDC was found to effectively improve
immune function and reduce inflammatory responses based on its key compounds, hub target
genes, and the relevant pathways. These findings may provide valuable evidence for explaining
how SFJDC exerting the therapeutic effects on COVID-19, providing a holistic view for further
clinical application.
Funder
First Clinical Medical College of Guangzhou University of Chinese Medicine
Publisher
Bentham Science Publishers Ltd.
Subject
Organic Chemistry,Computer Science Applications,Drug Discovery,General Medicine