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作 者:廖禹程 丁一 王文军 王超 王婧雯 文爱东 李锐莉 孙莲[1] LiaoYucheng;Ding Yi;Wang Wenjun;Wang Chao;Wang Jingwen;Wen Aidong;Li Ruili;Sun Lian(School of Pharmacy,Xinjiang Medical University,Urumqi 830011,China;Department of Pharmacy,the First Affiliated Hospital of Air Force Military Medical University)
机构地区:[1]新疆医科大学药学院,乌鲁木齐830011 [2]空军军医大学第一附属医院药剂科
出 处:《中国药师》2021年第1期1-6,共6页China Pharmacist
基 金:国家自然科学基金项目(编号:81603320);陕西省重点研发计划社会发展项目(编号:2017SF-322)。
摘 要:目的:通过网络药理学方法探讨独活镇痛的分子生物学机制。方法:独活的活性成分及其靶标基因通过TCMSP和CNKI数据库获取,疼痛相关靶标基因通过Gene Cards和Dis Ge NET数据库获取。利用Cytoscape创建独活中化合物-靶基因和疼痛相关基因靶网络,利用STRING数据库分析关键靶标,利用DAVID和Bioconductor数据库分析途径富集。结果:网络分析确定了独活中10种化合物以及45个靶标基因与疼痛高度关联,蛋白互作网络中的核心基因是MAPK1、MAPK8、IL6、TNF、MAPK3、MMP9、CASP3、IL1B、PTGS2和CASP8,并确定了与疼痛相关的Fox O、NF-κB、MAPK、HIF-1等核心信号通路。结论:本研究结果提示可为进一步开发疼痛相关新药提供理论依据。Objective: To explore the molecular biological mechanism of pain-alleviating effect of Angelicae Pubescentis Radix based on network pharmacology. Methods: The active components and target genes of Angelicae Pubescentis Radix were obtained through TCMSP and CNKI databases,and the pain-related target genes were obtained through Gene Cards and Dis Ge NET databases. Cytoscape was used to create a network of compound-target genes and pain-related genes of Angelicae Pubescentis Radix,STRING database was used to analyze the key targets,and DAVID and Bioconductor databases were used for enrichment analysis. Results: Network analysis determined that 10 compounds in Angelicae Pubescentis Radix and 45 target genes were highly correlated with pain. The core genes in the protein interaction network were MAPK1,MAPK8,IL6,TNF,MAPK3,MMP9,CASP3,IL1B,PTGS2 and CASP8. The core signaling pathways related to pain were Fox O,NF-κB,MAPK and HIF-1.Conclusion: The results of this study can provide theoretical basis for the further development of new pain-alleviating drugs.
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