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Exploring Mechanisms of Panax notoginseng Saponins in Treating Coronary Heart Disease by Integrating Gene Interaction Network and Functional Enrichment Analysis 被引量:10
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作者 虞桂 王阶 《Chinese Journal of Integrative Medicine》 SCIE CAS CSCD 2016年第8期589-596,共8页
Objective: To investigate the mechanisms of Panax notoginseng saponins(PNS) in treating coronary heart disease(CHD) by integrating gene interaction network and functional enrichment analysis. Methods: Text minin... Objective: To investigate the mechanisms of Panax notoginseng saponins(PNS) in treating coronary heart disease(CHD) by integrating gene interaction network and functional enrichment analysis. Methods: Text mining was used to get CHD and PNS associated genes. Gene–gene interaction networks of CHD and PNS were built by the Gene MANIA Cytoscape plugin. Advanced Network Merge Cytoscape plugin was used to analyze the two networks. Their functions were analyzed by gene functional enrichment analysis via DAVID Bioinformatics. Joint subnetwork of CHD network and PNS network was identified by network analysis. Results: The 11 genes of the joint subnetwork were the direct targets of PNS in CHD network and enriched in cytokine-cytokine receptor interaction pathway. PNS could affect other 85 genes by the gene–gene interaction of joint subnetwork and these genes were enriched in other 7 pathways. The direct mechanisms of PNS in treating CHD by targeting cytokines to relieve the inflammation and the indirect mechanisms of PNS in treating CHD by affecting other 7 pathways through the interaction of joint subnetwork of PNS and CHD network. The genes in the 7 pathways could be potential targets for the immunologic adjuvant, anticoagulant, hypolipidemic, anti-platelet and anti-hypertrophic activities of PNS. Conclusion: The key mechanisms of PNS in treating CHD could be anticoagulant and hypolipidemic which are indicated by analyzing biological functions of hubs in the merged network. 展开更多
关键词 Panax notoginseng saponins coronary heart disease network biology genegene interaction network
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