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作 者:王妍[1] 代书景 佟雷[2] 张景阳 石学魁[1] WANG-Yan(Department of Pathogenic Biology, Mudanjiang Medical University, Mudanjiang 157011, China)
机构地区:[1]牡丹江医学院病原生物学教研室 [2]牡丹江医学院药剂学教研室 [3]牡丹江市第二人民医院肝胆外科,黑龙江牡丹江157011 [4]新郑市人民医院检验科,河南新郑451100
出 处:《牡丹江医学院学报》2022年第3期49-52,共4页Journal of Mudanjiang Medical University
基 金:牡丹江市科学技术计划项目(Z2018s028)。
摘 要:目的 通过网络药理学方法探讨熊去氧胆酸(Ursodeoxycholic Acid,UDCA)抗肝纤维化的作用机制。方法 通过PubChem数据库查找UDCA的分子结构并下载SDF格式文件,经PharmMapper服务器筛选UDCA所对应的靶标基因。通过GeneCards、OMIM数据库筛选肝纤维化的靶标基因。采用Cytoscape 3.7.2软件构建“药物-靶点-疾病”网络图,利用STRING数据库绘制蛋白相互作用网络(PPI),对相关靶点进行GO富集分析以及KEGG通路富集分析。结果 经筛选后获得UDCA作用于肝纤维化的靶点有35个,GO和KEGG富集分析结果表明,UDCA主要涉及GTP结合、嘌呤核糖核苷结合、嘌呤核苷结合、核糖核苷结合、鸟苷酸结合、泛素蛋白连接酶结合等生物学功能,通过调节流体剪应力与动脉粥样硬化通路发挥抗肝纤维化作用。结论 UDCA抗肝纤维化可能是多靶点、多层次的,为进一步研究提供思路与依据。Objective To study the mechaism of Ursodeoxycholic Acid(UDCA) on anti-liver fibrosis through network pharmacology. Methods The molecule structure file of UDCA was downloaded from PubChem database. The target genes of UDCA were selected by PharmMapper database. The target genes for liver fibrosis were screened by GeneCards and OMIM database. Cytoscape 3.7.2 software was used to construct the drug-target-disease network diagram. STRING database was used to draw protein interaction network(PPI). GO enrichment analysis and KEGG pathway enrichment analysis were performed on related targets. Results 35 targets of UDCA on liver fibrosis were screened. GO and KEGG analysis showed that targets were mainly involved in biological functions including GTP binding, purine ribonucleoside binding, ribonucleoside binding, guanyl nucleotide binding, ubiquitin protein ligase binding, by adjusting fluid shear stress and atherosclerosis. Conclusion The anti-liver fibrosis by UDCA may be multi-target and multi-level. This consequence may provide ideas and basis for further research.
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