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2020 年第 7 期 第 15 卷

基于网络药理学的土茯苓治疗痛风性肾病的作用机制研究

Study on the mechanism of smilacis glabrae rhizoma treating gouty nephropathy based on network pharmacology

作者:黄意婷1赵艺蔓2庾雪鹰2岑霞2黄国东3

英文作者:Huang Yiting1 Zhao Yiman2 Yu Xueying2 Cen Xia2 Huang Guodong3 an>

单位:1广西中医药大学附属国际壮医医院肾内科(在读研究生),南宁530201;2广西中医药大学2018级硕士研究生,南宁530001;3广西国际壮医医院肾内科,南宁530201

英文单位:1Postgraduate of Department of Nephrology International Zhuang Medical Hospital Affiliated to Guangxi University of Chinese Medicine Nanning 530201 China; 2Postgraduate Grade 2018 Guangxi University of Chinese Medicine Nanning 530001 China; 3Department of Nephrology Guangxi International Zhuang Medical Hospital Nanning 530201 China

关键词:痛风性肾病;土茯苓;网络药理;生物信息;靶点

英文关键词:Goutynephropathy;Smilacisglabraerhizoma;Networkpharmacology;Biologicalinformation;Targets 

  • 摘要:
  • 目的运用网络药理学筛选土茯苓的主要活性成分及其靶点,探究土茯苓治疗痛风性肾病(GN)的潜在作用机制。方法经中药系统药理学数据库与分析平台分析并结合相关文献筛选出土茯苓的主要活性成分及其潜在靶点,建立靶点数据;并通过在线人类孟德尔遗传数据库、人类基因数据库筛选出GN相关靶点;用Cytoscape 3.7.1软件构建“GN-基因-靶点-土茯苓”相关性网络可视化关系图;以蛋白互作网络分析数据库确立土茯苓与GN的蛋白互作网络;利用生物学信息注释数据库对相关靶点进行基因本体富集分析并以Cluster Profiler R包完成京都基因与基因组百科全书通路分析,了解土茯苓治疗GN可能的生物过程及其通路。结果从土茯苓中筛选15种活性成分,与GN有关的靶点19个,基因本体富集分析表明,这些靶点参与炎症反应、免疫反应、对过氧化氢的反应、调节细胞增殖、胶原分解代谢过程、血压调节等生物过程。京都基因与基因组百科全书路径结果表明,土茯苓作用于GN的关键靶点通过白细胞介素17信号通路、核因子κB信号通路、肿瘤坏死因子信号通路等83个通路实现。结论本研究初步推测并验证了土茯苓治疗GN的主要靶基因和通路,为后续进一步探讨土茯苓治疗GN提供新思路。

  • ObjectiveTo screen the main active components and the targets of smilacis glabrae rhizoma by using network pharmacology and to explore the potential mechanism of smilacis glabrae rhizoma in treatment of gouty nephropathy(GN). Methods The main active components and potential targets of smilacis glabrae rhizoma were screened by Traditional Chinese Medicine Systems Pharmacology Database, Analysis Platform and pertinent literature,and the target data were established. The target of GN was screened by Online Mendelian Inheritance in Man and Gene Cards database. Cytoscape 3.7.1 software was used to construct a network visualization map of "GN-gene-target-smilacis glabrae rhizoma". The protein interaction network of the smilacis glabrae rhizoma and GN was established based on the protein interaction network analysis database. Gene ontology enrichment was used to analyze related targets by biological information annotation database. Kyoto Gene and Genome Encyclopedia (KEGG) pathway was analyzed with Cluster Profiler R package to understand the possible biological processes and pathways of smilacis glabrae rhizoma to treat GN. Results  Totally 15 active components and 19 targets related to GN were screened from the smilacis glabrae rhizoma. Gene ontology enrichment analysis indicated that these targets were involved in the inflammatory response, immune response, reaction to hydrogen peroxide, regulation of cell proliferation, collagen metabolism, blood pressure regulation and so on. The KEGG pathway results indicated that the key target of smilacis glabrae rhizoma on GN was achieved through 83 pathways including interleukin-17 signal pathway, nuclue factor-κB signal pathway and tumor necrosis factor signaling pathway. Conclusions  This study preliminarily speculates and validates the main target genes and pathways of smilacis glabrae rhizoma in treatment of GN. It will provide new ideas for further discussion on the treatment of GN with smilacis glabrae rhizoma.

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