Literature DB >> 31022565

Network pharmacology-based analysis on bioactive anti-diabetic compounds in Potentilla discolor bunge.

Niannian Wang1, Feifei Zhu2, Mingxiang Shen3, Lipeng Qiu4, Min Tang5, Hengchuan Xia6, Liang Chen7, Yi Yuan8, Shangshang Ma9, Keping Chen10.   

Abstract

ETHNOPHARMACOLOGICAL RELEVANCE: Potentilla discolor Bunge (PDB) is a commonly used herbal for alleviating diabetes mellitus and its complications. Although accumulating evidences show the anti-diabetic efficacy of PDB, the vital anti-diabetic compounds and their functional targets remain elusive. AIM OF THE STUDY: To investigate the anti-diabetic ingredients and their functional mechanisms in PDB, gas chromatograph-mass spectrometry analysis was performed on PDB extract and 21 were testified as anti-diabetic compounds.
MATERIALS AND METHODS: Subsequently their potential protein targets were also identified. The bioinformatics analysis was implemented by network pharmacology-based approaches. STRING analysis was performed to reveal enrichment of these target proteins, protein-protein interactions, pathways and related diseases. Cytoscape was used to determine the potential protein targets for these components in PDB, indicating that 21 anti-diabetic compounds in PDB regulate 33 diabetes-related proteins in 28 signal pathways and involve 21 kinds of diabetes-related diseases. Among the 21 potential anti-diabetic components predicted by network analysis, tricetin was firstly experimentally validated at the molecular and cellular level.
RESULTS: Results indicated that this active small-molecule compound may have beneficial effects on improving glucose uptake.
CONCLUSIONS: We envisage that network analysis will be useful in screening bioactive compounds of medicinal plants.
Copyright © 2019. Published by Elsevier B.V.

Entities:  

Keywords:  Ingredients; Network analysis; Potentilla discolor bunge; Protein targets

Mesh:

Substances:

Year:  2019        PMID: 31022565     DOI: 10.1016/j.jep.2019.111905

Source DB:  PubMed          Journal:  J Ethnopharmacol        ISSN: 0378-8741            Impact factor:   4.360


  12 in total

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