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1.中国中医科学院 广安门医院,北京 100053
2.北京中医药大学 研究生院,北京 100029
石晶晶,在读博士,从事中医药防治心血管病的研究,E-mail:sjj-work@163.com
胡元会,博士,主任医师,从事中医药防治心血管病的研究,E-mail:Huiyuhui55@sohu.com
网络出版日期:2020-06-28,
纸质出版日期:2020-09-05
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石晶晶,石树青,师帅等.生脉散防治心房纤颤的作用机制及网络药理学分析[J].中国实验方剂学杂志,2020,26(17):170-176.
SHI Jing-jing,SHI Shu-qing,SHI Shuai,et al.Mechanism of Shengmaisan in Atrial Fibrillation Based on Network Pharmacology[J].Chinese Journal of Experimental Traditional Medical Formulae,2020,26(17):170-176.
石晶晶,石树青,师帅等.生脉散防治心房纤颤的作用机制及网络药理学分析[J].中国实验方剂学杂志,2020,26(17):170-176. DOI: 10.13422/j.cnki.syfjx.20201815.
SHI Jing-jing,SHI Shu-qing,SHI Shuai,et al.Mechanism of Shengmaisan in Atrial Fibrillation Based on Network Pharmacology[J].Chinese Journal of Experimental Traditional Medical Formulae,2020,26(17):170-176. DOI: 10.13422/j.cnki.syfjx.20201815.
目的
2
基于网络药理学方法探讨生脉散治疗心房纤颤的作用靶点和相关信号通路并探讨其作用机制。
方法
2
运用中药系统药理学成分分析平台(bioinformatics analysis tool for molecular mechanism of TCM,BATMAN-TCM)数据库获取生脉散的化学成分及作用靶标基因,通过GeneCards,OMIM,DisGeNET数据库收集心房纤颤的靶标基因。将两者取交集后得到生脉散-心房纤颤靶基因交集,运用STRING构建蛋白质间相互作用网络,并将结果进行网络可视化展示。将药物-疾病交集基因导入DAVID6.8数据库,进行基因本体(gene ontology,GO)分析和基于京都基因与基因组百科全书(Kyoto Encyclopedia of Genes and Geomes,KEGG)通路富集分析。
结果
2
生脉散干预房颤的有效活性成分159个,药物靶点与疾病靶点交集后获得206个共有靶点,PPI蛋白互作网络分析发现AKT1,TP53,PRKACA,IL-1B,TNF,INS,PPAR,RXR,F2,CACAN1C,PKC等是生脉散治疗房颤的核心靶点。GO富集分析确定了175个条目(
P<
0.05),其中生物过程主要心脏传导调节心率、动作电位时膜去极化等;分子功能主要包括电压门控钙通道、类固醇激素受体活性、肾上腺素结合等,在细胞组成方面,主要包括钠、钾、钙通道复合物等。KEGG通路富集分析确定了100条相关信号通路,主要有cGMP/PKG信号通路,cAMP信号通路,血清素能突触,肾素分泌,钙信号通路等。
结论
2
生脉散治疗心房纤颤具有多途径、多靶点作用的特点。该研究初步探讨了其作用的关键靶点及涉及的生物学过程和信号通路,为生脉散治疗心房纤颤后续的实验研究提供一定的参考。
Objective
2
To study the mechanism of Shengmaisan in treating atrial fibrillation by regulating relative genes and signaling pathways based on network pharmacology.
Method
2
Target genes of Shengmaisan were obtained using Bioinformatics Analysis Tool for Molecular Mechanism of TCM(BATMAN-TCM) database,and target genes of atrial fibrillation were obtained through GeneCards,OMIM and DisGeNET databases. The target genes of Shengmaisan-atrial fibrillation intersection protein were obtained through the integration of the two groups of genes. STRING was used to build the protein-protein interaction network and visualize the results. The drug-disease intersection genes were introduced into the DAVID 6.8 database for gene ontology (GO) analysis and enrichment analysis based on the Kyoto Encyclopedia of Genes and Geomes (KEGG).
Result
2
A total of 159 active ingredients for Shengmai powder for atrial fibrillation were obtained. After the drug targets and the disease targets were intersected,206 common targets were obtained. PPI protein interaction network analysis showed that AKT1,TP53,PRKACA,IL-1B,TNF,INS,PPAR,RXR,F2,CACAN1C PKC might be the core targets of Shengmaisan in treating AF. GO enrichment analysis was used to identify 175 items (
P
<
0.05),among which biological processes mainly included regulation of heart rate by cardiac conduction,membrane depolarization during action potential;cell components mainly included voltage-gated sodium/ potassium/calcium channel complex;molecular functions mainly included high-voltage-gated calcium channel activity,steroid hormone receptor activity. Through KEGG pathway enrichment analysis,100 signaling pathways were identified,mainly including cGMP/PKG signaling pathway,cAMP signaling pathway,serotonergic synapse,renin secretion,calcium signaling pathway.
Conclusion
2
Based on the network pharmacology,Shengmaisan has multiple mechanisms in the prevention and treatment of atrial fibrillation. This study explores relevant signaling pathways,advantages and research directions of Shengmaisan in treatment of atrial fibrillation,so as to lay the foundation for further experimental verification.
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