广州医药 ›› 2020, Vol. 51 ›› Issue (1): 32-38.DOI: 10.3969/j.issn.1000-8535.2020.01.008

• 论著 • 上一篇    下一篇

基于网络药理学预测银杏叶治疗心肌缺血的作用机制

谢巍, 杨妮, 肖萍   

  1. 柳州市妇幼保健院 (柳州 545001)
  • 收稿日期:2019-08-28 出版日期:2020-01-20 发布日期:2021-11-28
  • 通讯作者: 杨妮,E-mail: 642413556@qq.com
  • 基金资助:
    广西壮族自治区中医药管理局自筹经费科研课题(GZZC2019192);广西壮族自治区中医药管理局自筹经费科研课题(GZZC2019194)

Prediction of the mechanism of Ginkgo leaf in the treatment of myocardial ischemia based on network pharmacology

XIE Wei, YANG Ni, XIAO Ping   

  1. Women and Children's Health Care Hospital of Liuzhou City, Liuzhou 545001, China
  • Received:2019-08-28 Online:2020-01-20 Published:2021-11-28

摘要: 目的 基于网络药理学方法预测银杏叶治疗心肌缺血的潜在靶点及信号通路。方法 利用 TCMSP 平台筛选生物利用度(OB)≥ 30% 和类药性(DL)≥ 0.18 的活性成分及作用靶点。利用GeneCards和OMIM数据库检索心肌缺血疾病相关靶点,并提取药物成分和心肌缺血疾病的共有靶点作为关键靶点。通过在线TRING平台构建PPI网络,并采用Cytoscape 软件构建可视化的“化合物-靶点-通路”网络,进一步进行GO 功能富集分析和KEGG通路富集分析。结果 筛选得到 27种潜在的药效成分,2 164个化合物靶点,531个心肌缺血相关靶基因。两者取交集后获得疾病-类药活性成分40个共同靶点,PPI 蛋白互作网络自由度较高的节点依次为:IL6、VEGFA、CASP3、MAPK8、MYC、NOS3。GO 功能富集分析得到42个 GO 条目,KEGG 通路富集分析得到42条信号通路。结论 银杏叶治疗心肌缺血主要GO 能力富集在半胱氨酸肽链内切酶活性,内肽酶活力,激活转录因子结合,DNA结合转录激活剂活性,RNA聚合酶II特异性等功能,调控TNF信号通路,糖尿病并发症的年龄愤怒信号, 细胞凋亡,PI3K-Akt信号通路等信号,进一步达到对心肌缺血疾病的治疗。

关键词: 银杏叶, 网络药理学, 心肌缺血, 靶点, 信号通路

Abstract: Objective To predict the potential targets and signal pathways of ginkgo leaf in the treatment of myocardial ischemia based on network pharmacology. Methods The active components and targets of bioavailability (OB) ≥ 30% and drug-like (DL) ≥ 0.18 were screened by TCMSP platform.The related targets of myocardial ischemic diseases were searched by GeneCards and OMIM database, the components and the common targets of myocardial ischemic diseases were extracted as the key targets. To build the PPI network through the online STRING platform, a visual “compound-target-pathway” network was constructed to further analyze the functional enrichment of GO and the enrichment of KEGG pathway. Results 27 potential active components, 2 164 compound targets and 531 myocardial ischemia related target genes were screened. After the intersection of the two, 40 common targets of disease-class active components were obtained. The nodes with higher degree of freedom of PPI protein interaction network were IL6、VEGFA、CASP3、MAPK8、MYC and NOS3.42 entries were obtained by GO functional enrichment analysis and 42 signal pathways were obtained by KEGG pathway enrichment analysis. Conclusion Ginkgo leaf may be a target of cysteine-type endopeptidase activity,endopeptidase activity,activating transcription factor binding,DNA-binding transcription activator activity, RNA polymerase II-specific function. TNF signaling pathway, AGE-RAGE signaling pathway in diabetic complications, apoptosis, PI3K-Akt signaling pathway were regualted to achieve the treatment of myocardial ischemia disease.

Key words: Ginkgo leaf, Network pharmacology, Myocardial ischemia, Target, Signal pathway