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

蛋白质数据库 传统医学 铅化合物 计算生物学 药理学 糖尿病 医学 生物信息学 化学 生物 生物化学 体外 内分泌学
作者
Niannian Wang,Feifei Zhu,Mingxiang Shen,Lipeng Qiu,Min Tang,Hengchuan Xia,Liang Chen,Yi Yuan,Shangshang Ma,Keping Chen
出处
期刊:Journal of Ethnopharmacology [Elsevier BV]
卷期号:241: 111905-111905 被引量:47
标识
DOI:10.1016/j.jep.2019.111905
摘要

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.

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