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
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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