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The functional components and mechanism of Linderae Radix in treating diabetic nephropathy based on the network pharmacology

机译:基于网络药理学治疗糖尿病肾病治疗糖尿病肾病的功能组分及机制

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This study applied the TCMSP, VBA, OMIM, DiGSeE, TDD, GEO, UniProt, DAVID, STRING a lot of online data and Cytoscape 3 . 2 . 1 analysis software to predict the drug’s active ingredient, and the target of diabetic nephropathy?(DN).?The “drug-target-disease network”?was constructed to analyze the components, targets and pathways of the herb and preliminarily reveal that the treatment of DN?by Wuyao ( Linderae Radix ) is the result of the combined action of multiple components, targets and links, providing a basic research direction for the treatment of DN?by Linderae Radix . O bjective : To analyze the components and mechanisms of?Wuyao ( Linderae Radix )?in treating diabetic nephropathy?(DN)?based on network pharmacology . Methods : Multiple online databases were used to search and screen out the active ingredients?from Linderae Radix , the related targets of active?components of Linderae Radix and the genes related to DN . Search the corresponding genes?name of target through UniProt database . Cytoscape 3 . 2 . 1 was used to construct the corresponding target gene network of Linderae Radix compounds . Venn diagram was used to screen the?intersection genes of the active components corresponding to the target and disease-related genes, and the intersection genes were constructed into the protein interaction relationship network . Finally, DAVID database was used to do GO function enrichment analysis and KEGG signaling pathway enrichment analysis for the intersection genes, and the results of GO and KEGG were visualized . Results : 1 . A total of 7 potential active ingredients and 100 target proteins were screened . 2 . There are a total of 34 intersection genes between the potential active ingredient target in Linderae Radix in DN . 3 . The top 10?of the interaction correlation between intersection proteins include:AR and NCOA2, NCOA2 and NR3C1, NCOA2 and PPARG, etc . 4 . There were 16 entries of molecular function, 9 entries of cell component, 47 entries of biological process and 18 entries of signaling pathway ( P 0.05) . Conclusion : DN was treated by Linderae Radix from multi-component, multi-target and multi-link synergies .
机译:本研究应用了TCMSP,VBA,OMIM,Digsee,TDD,Geo,Uniprot,David,String很多在线数据和Cytoscape 3。 2。 1分析软件预测药物的活性成分,以及糖尿病肾病的靶标?(DN)。?构建了“药物 - 疾病网络”(药物 - 毒性疾病网络),分析了草本植物的组分,靶向和途径,并初步揭示了DN治疗DN?通过武尧(Linderae adix)是多个组分,靶标和链接的组合作用的结果,为林德拉基雷克拉提供了用于治疗DN的基本研究方向。 o咬合:分析?武尧(林德拉岛)的组成和机制?治疗糖尿病肾病?(DN)?基于网络药理学。方法:使用多个在线数据库来搜索和筛选活性成分?来自林德拉基雷的活性成分,活性的有效靶标的液体的组分和与DN相关的基因。搜索相应的基因?通过UNIPROT数据库的目标名称。 Cytoscape 3。 2。 1用于构建Linderae Cadix化合物的相应靶基因网络。 VENN图用于筛选与靶和疾病相关基因对应的活性组分的α交叉基因,并且将交叉基因构成为蛋白质相互作用关系网络。最后,David数据库用于进行功能丰富分析,并且对交叉基因的浓缩分析,以及Go和Kegg的结果被可视化。结果:1。筛选总共7种潜在的活性成分和100种靶蛋白。 2。在DN的丙酰基潜在的活性成分靶标中总共存在34个交叉基因。 3.十端10?交叉蛋白之间的相互作用相关性包括:Ar和NCOA2,NCOA2和NR3C1,NCOA2和PPARG等。 4。有16个分子函数,9个细胞成分的条目,47个生物过程条目和18个信号通路条目(P <0.05)。结论:DN由Linderae Radix从多组分,多目标和多链路协同效应治疗。

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