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Research on the mechanism of berberine in the treatment of COVID-19 pneumonia pulmonary fibrosis using network pharmacology and molecular docking.

ABSTRACT: Purpose Pulmonary fibrosis caused by COVID-19 pneumonia is a serious complication of COVID-19 infection, there is a lack of effective treatment methods clinically. This article explored the mechanism of action of berberine in the treatment of COVID-19 (Corona Virus Disease 2019, COVID-19) pneumonia pulmonary fibrosis with the help of the network pharmacology and molecular docking. Methods We predicted the role of berberine protein targets with the Pharmmapper database and the 3D structure of berberine in the Pubchem database. And GeneCards database was used in order to search disease target genes and screen common target genes. Then we used STRING web to construct PPI interaction network of common target protein. The common target genes were analyzed by GO and KEGG by DAVID database. The disease-core target gene-drug network was established and molecular docking was used for prediction. We also analyzed the binding free energy and simulates molecular dynamics of complexes. Results Berberine had 250 gene targets, COVID-19 pneumonia pulmonary fibrosis had 191 gene targets, the intersection of which was 23 in common gene targets. Molecular docking showed that berberine was associated with CCl2, IL-6, STAT3 and TNF-α. GO and KEGG analysis reveals that berberine mainly plays a vital role by the signaling pathways of influenza, inflammation and immune response. Conclusion Berberine acts on TNF-α, STAT3, IL-6, CCL2 and other targets to inhibit inflammation and the activation of fibrocytes to achieve the purpose of treating COVID-19 pneumonia pulmonary fibrosis.

SUBMITTER: Cao J

PROVIDER: S-EPMC8895682 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature

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Research on the mechanism of berberine in the treatment of COVID-19 pneumonia pulmonary fibrosis using network pharmacology and molecular docking.

Cao Junfeng J Li Lianglei L Xiong Li L Wang Chaochao C Chen Yijun Y Zhang Xiao X

Phytomedicine plus : international journal of phytotherapy and phytopharmacology 20220304 2

<i>Purpose</i> Pulmonary fibrosis caused by COVID-19 pneumonia is a serious complication of COVID-19 infection, there is a lack of effective treatment methods clinically. This article explored the mechanism of action of berberine in the treatment of COVID-19 (Corona Virus Disease 2019, COVID-19) pneumonia pulmonary fibrosis with the help of the network pharmacology and molecular docking. <i>Methods</i> We predicted the role of berberine protein targets with the Pharmmapper database and the 3D st ...[more]

PMID: 35403089

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Project description:BackgroundTo explore the mechanism of compound Hongginshen decoction in improving pulmonary fibrosis based on network pharmacology.MethodsThe active components and targets of ginseng and Salvia miltiorrhiza were screened from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) database. The chemical components of Rhodiola, Ophiopogon japonicus, and Dendrobium were screened using the Traditional Chinese Medicine Integrated Database (TCMID), and the target compounds were predicted by the Swisstargets method. The related target genes of pulmonary fiber (PF) were screened by the Genecards database and the National Center of Biotechnology Information (NCBI) database. The protein-protein interaction network was drawn using the string database and Cytoscape software, and the network topology was analyzed. Then, using R3.6.3 software, biological processes, molecular function, cell component enrichment, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment were carried out on the common targets of drugs and diseases. The network diagram of the "traditional Chinese medicine composition disease target" of Compound Hongginshen Decoction was constructed and analyzed with the software of Cytoscape 3.6.1.ResultsWe identified 159 active components and 2820 targets in Compound Hongginshen Decoction, and 2680 targets in pulmonary fibrosis. A total of 343 common targets were obtained by the intersection of drug targets and disease targets. protein-protein interaction protein interaction network analysis showed that PIK3CA, PIK3R1, MAPK1, SRC, AKT1, and so on may be the core targets of the compound Hongjingshen recipe in the treatment of pulmonary fibrosis. Gene Ontology (GO) enrichment analysis identified 3463 items, and KEGG pathway enrichment analysis identified 181 related signaling pathways, including the PI3K-Akt signaling pathway, HCMV pathway, Hb pathway, PGs pathway, and KSHV signaling pathway.ConclusionCompound Hongginshen Decoction has the characteristics of a multichannel and multitargeted effect in the treatment of pulmonary fibrosis. Radix Ophiopogonis and Dendrobium officinale play a key role in the treatment of pulmonary fibrosis. The whole compound prescription may play a therapeutic role by affecting cell metabolism, being anti-inflammatory, regulating the immune system, promoting angiogenesis, and improving anaerobic metabolism.

Project description:ObjectiveThis study aimed to clarify the mechanism of Fei-Xian formula (FXF) in the treatment of pulmonary fibrosis based on network pharmacology analysis combined with molecular docking validation.MethodsFirstly, ingredients in FXF with pharmacological activities, together with specific targets, were identified based on the BATMA-TCM and TCMSP databases. Then, targets associated with pulmonary fibrosis, which included pathogenic targets as well as those known therapeutic targets, were screened against the CTD, TTD, GeneCards, and DisGeNet databases. Later, Cytoscape was employed to construct a candidate component-target network of FXF for treating pulmonary fibrosis. In addition, for nodes within the as-constructed network, topological parameters were calculated using CytoHubba plug-in, and the degree value (twice as high as the median degree value for all the nodes) was adopted to select core components as well as core targets of FXF for treating pulmonary fibrosis, which were subsequently utilized for constructing the core network. Furthermore, molecular docking study was carried out on those core active ingredients together with the core targets using AutoDock Vina for verifying results of network pharmacology analysis. At last, OmicShare was employed for enrichment analysis of the core targets.ResultsAltogether 12 active ingredients along with 13 core targets were identified from our constructed core component-target network of FXF for the treatment of pulmonary fibrosis. As revealed by enrichment analysis, the 13 core targets mostly concentrated in regulating biological functions, like response to external stimulus (from oxidative stress, radiation, UV, chemical substances, and virus infection), apoptosis, cell cycle, aging, immune process, and protein metabolism. In addition, several pathways, like IL-17, AGE-RAGE, TNF, HIF-1, PI3K-AKT, NOD-like receptor, T/B cell receptor, and virus infection-related pathways, exerted vital parts in FXF in the treatment of pulmonary fibrosis.ConclusionsFXF can treat pulmonary fibrosis through a "multicomponent, multitarget, and multipathway" mean. Findings in this work lay foundation for further exploration of the FXF mechanism in the treatment of pulmonary fibrosis.

Dataset Information

Research on the mechanism of berberine in the treatment of COVID-19 pneumonia pulmonary fibrosis using network pharmacology and molecular docking.

Publications

Research on the mechanism of berberine in the treatment of COVID-19 pneumonia pulmonary fibrosis using network pharmacology and molecular docking.

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