Mechanism of Verbena officinalis-Polygonum cuspidatum in intervention against pulmonary fibrosis due to coronavirus disease 2019:A bioinformatics analysis
Objective:To investigate the main components and targets of Verbena officinalis-Polygonum cuspidatum in intervention against pulmonary fibrosis(PF)due to coronavirus disease 2019(COVID-19)based on a bioinformatics analysis,as well as its mechanism of action.Methods:TCMSP and PharmMapper were used to obtain active components and targets,and GeneCards was used to collect disease genes.Cytoscape was used to construct a drug-component-target interaction network and obtain the key components.STRING and Metascape were used to construct a protein-protein interaction network and identify they key targets.Gene ontology(GO)functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment a-nalysis were performed for the targets,and molecular docking was performed between the key targets and the mole-cules of vascular endothelial growth factor receptor(VEGFR),fibroblast growth factor receptor(FGFR),and protein kinase Bl(AKT1).Results:The key components of Verbena officinalis-Polygonum cuspidatum in inter-vention against PF due to COVID-19 included resveratrol,physostigmine,catechinic acid,emodin,and artemise-tin.The core targets obtained included TP53,AKT1,IL-6,ESR1,and EGFR.The GO functional enrichment a-nalysis showed the involvement of cell proliferation regulation,hypoxia response,inflammatory response,and tran-scriptional regulation,and the KEGG pathway enrichment analysis showed the involvement of the TNF,IL-17,and PI3K/AKT signaling pathways.Artemisetin showed the lowest binding energy to VEGFR,and beta-sitosterol showed the lowest binding energy to FGFR and AKT1.Conclusion:By regulating the PI3K/AKT,inflammation,and antiviral signaling pathways,Verbena officinalis-Polygonum cuspidatum can reduce the production of extra-cellular matrix,alleviate collagen deposition,and inhibit the migration of fibroblasts,thereby exerting a therapeutic effect on PF due to COVID-19.
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