Objective: Study the mechanism of Mulberry Root Bark Decoction in the treatment of COPD based on network pharmacology. Methods: The active components and predictive targets of Mulberry Root Bark Decoction were screened by TCMSP database. The disease targets of COPD were collected by searching GeneCards, DisGeNET, PhamGKB and TTD databases. Using R language to draw Venn diagram, and get the key target of Mulberry Root Bark Decoction in the treatment of COPD. Cytoscape was used to construct the regulatory network of drug active ingredient disease target. The key targets were imported into string database to construct protein-protein interaction network, and the core targets were obtained by network topology analysis with Cytoscape software. Finally, the Bioconductor platform and R language were used for GO and KEGG enrichment analysis. Results: There were 142 active components and 255 drug targets in Mulberry Root Bark Decoction. 1941 COPD targets were retrieved. There were 129 common targets of Mulberry Root Bark Decoction and COPD; Eight core targets of PPI network were obtained. GO function analysis is involved in oxidative stress, cellular chemical stress and other biological processes. Cell components such as cell membrane raft and membrane region involve molecular functions such as ubiquitin like protein ligase and DNA binding transcription factor. KEGG mainly includes PI3K-Akt signal pathway, tumor necrosis factor signal pathway, IL-17 signal pathway, etc. Conclusion: Quercetin, luteolin, kaempferol, wogonin and other active components in Mulberry Root Bark Decoction act on PI3K / Akt, TNF, IL-17, TCR and other signal pathways through Jun, TP53, MAPK1, IL6 and other targets to play an anti-inflammatory and reduce oxidative stress response role. The results of this study can provide a reference for further study on the mechanism of Mulberry Root Bark Decoction in the treatment of chronic obstructive pulmonary disease.
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