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ABSTRACT: Objective
The traditional Chinese medicine Caulis Sargentodoxae is widely used in the treatment of ulcerative colitis(UC), but the mechanism remain unknown. This study aims to reveal its effective components, targets and pathways through network pharmacology and bioinformatics approachs.Materials and methods
TCMSP was used to identify effective components. The ligand-based targets prediction was achieved through SwissTargetPrediction and TargetNet. UC-related targets were identified using GEO data and DisGeNET. The common targets of disease and components were constructed and analyzed by PPI network. Lastly, GO and KEGG enrichment analysis are used to explain the functions of these common targets. Components-Targets-Pathways network was visualized and analyzed to further reveal the connection between the components and targets.Results
8 active components and 102 key targets were identified to play an important role in UC. These targets were related to regulation of protein serine/threonine kinase activity, positive regulation of cell motility, response to molecule of bacterial origin, response to toxic substance, ERK1 and ERK2 cascade, peptidyl-tyrosine modification, inositol lipid-mediated signaling, cellular response to drug, regulation of inflammatory response and leukocyte migration. Moreover, HIF-1 signaling pathway and PI3K-Akt signaling pathway were these key targets involvement in UC-related signaling pathways.Conclusion
The 8 active components of caulis sargentodoxae mainly play a therapeutic role for UC through synergistic regulation of HIF-1 signaling pathway and PI3K-Akt signaling pathway.
SUBMITTER: Liu B
PROVIDER: S-EPMC7846960 | biostudies-literature | 2021 Jan
REPOSITORIES: biostudies-literature
Liu Bin B Zheng Xin X Li Jiajun J Li Xiong X Wu Ruimei R Yang Jing J Liu Wei W Zhao Gaoping G
Bioscience reports 20210101 1
<h4>Objective</h4>The traditional Chinese medicine Caulis Sargentodoxae is widely used in the treatment of ulcerative colitis (UC), but the mechanism remains unknown. The present study aims to reveal its effective components, targets and pathways through network pharmacology and bioinformatics approaches.<h4>Materials and methods</h4>Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) was used to identify effective components. The ligand-based targets predict ...[more]