Action mechanism of Ephedra in treating allergic rhinitis based on network pharmacology

• 作者: Jing-Jing Yuan Li-Li Liu Lu-Lu Jiao Peng-Peng Hao Qiao-Ping Liu Si-Ming Liu Xin Wang Ya-Jing Zhu Zhan-Feng Yan
• 来源期刊: 海南医科大学学报（英文版）
• 年，卷（期）: 2020,（19）
• 所属期刊栏目: Original article
• 页码范围: 47-51
• 页数: 5页
• 语种: 英文

摘要

Objective: To study the mechanism of ephedra in treating allergic rhinitis by network pharmacology. Methods: the chemical components and corresponding targets of ephedra were searched and screened by TCMSP database. With "allergic rhinitis "as the key word, disease-related genes were searched in GeneCards and OMIM database. Using Venny2.1.0 mapping, Venn diagram and drug - disease common targets, network visualization software Cytoscape 3.6.1 track production elements - targets - disease network diagram, String database build their proteins interact with each other (PPI), and using R language to do gene ontology (GO) functional enrichment and pathway analysis and kyoto encyclopedia of genes and genome (KEGG) pathway enrichment analysis. Results: ephedrine was screened for 136 efficacy components and 88 common targets, and was predicted to intervene and regulate allergic rhinitis through AGE-RAGE signaling pathway in diabetic complications, Fluid shear stress and atherosclerosis, IL-17 signaling pathway, TNF signaling pathway and other signaling pathways in diabetic complications. Conclusion: preliminary prediction of the target and pathway of ephedra in the treatment of allergic rhinitis through network pharmacology can provide direction and evidence for the next experiment and clinic.

作者信息

序号	姓名	单位	发文数	被引次数	H指数	G指数
1	Xin Wang		1	0	0.0	0.0
2	Zhan-Feng Yan		1	0	0.0	0.0
3	Jing-Jing Yuan		1	0	0.0	0.0
4	Lu-Lu Jiao		1	0	0.0	0.0
5	Si-Ming Liu		1	0	0.0	0.0
6	Peng-Peng Hao		1	0	0.0	0.0
7	Li-Li Liu		1	0	0.0	0.0
8	Qiao-Ping Liu		1	0	0.0	0.0
9	Ya-Jing Zhu		1	0	0.0	0.0