摘要
目的利用网络药理学探讨藏红花治疗抑郁症的作用机制。方法通过中药系统药理学数据库(TCMSP)、Genecards、Uniprot数据库以及Cytoscape软件、ClueGo分析工具构建藏红花活性成分-抑郁症疾病靶点网络,并进行GO生物进程及KEGG通路富集分析,应用Autodock vina软件进行分子对接验证。结果藏红花中5个主要化学成分槲皮素、山奈酚、藏红花醛、藏红花酸、异鼠李素可能通过IL-17信号通路、HIF-1信号通路及TOLL样受体信号通路、PI3K-Akt信号通路、MAPK信号通路、松弛素信号通路、Th17细胞分化等通路发挥抗抑郁的作用。在PI3K-Akt信号通路和MAPK信号通路中,藏红花治疗抑郁症的靶点主要富集在BDNF、TNF、IL-1、IL-6、MAPK8、JUN、GSK3B、NOS3等多个靶点上。分子对接验证结果提示藏红花醛和藏红花酸与BDNF靶点对接效果良好。结论藏红花治疗抑郁症的作用机制主要体现在调节神经营养因子、抗炎、抗氧化应激等方面,为临床应用提供了药理依据。
Aim To explore the main pathways and possible mechanisms of saffron in treatment of depression using network pharmacology.Methods A network of active components of saffron-depression disease target was constructed through the TCM System Pharmacology Database(TCMSP),Genecards,Uniprot database,Cytoscape software,and ClueGo analysis tool,and GO biological process and KEGG pathway enrichment analysis were performed,and molecular docking verification was carried out using Autodock vina soft-ware.Results The five main chemical components quercetin,kaempferol,crocealdehyde,crocetin,and isorhamnetin may pass through the IL-17 signaling pathway,HIF-1 signaling pathway and Toll-like inflammatory pathways such as receptor signaling pathway,PI3K-Akt signaling pathway,MAPK signaling pathway,relaxin signaling pathway,Th17 cell differentiation and other pathways,playing an antidepressant effect.In the PI3K-Akt signaling pathway and MAPK signaling pathway,the targets of saffron for depression were mainly enriched in multiple targets such as BDNF,TNF,IL-1,IL-6,MAPK8,JUN,GSK3B,NOS3 and so on.The results of molecular docking verification indicated a good docking effect of saffron and crocetin with the BDNF target in the antidepressant pathway of saffron.Conclusions The mechanism of saffron treatment of depression is mainly reflected in the regulation of neurotrophic factors,anti-inflammatory,anti-oxidative stress,etc.,providing a theoretical basis for clinical application.
作者
任星
高蕊
杨静
张菀桐
杨巧宁
REN Xing;GAO Rui;YANG Jing;ZHANG Wan-tong;YANG Qiao-ning(Xiyuan Hospital,China Academy of Chinese Medical Sciences,Beijing 100091,China;Graduate School of Beijing University of Chinese Medicine,Beijing 100029,China)
出处
《中国药理学通报》
CSCD
北大核心
2021年第9期1318-1324,共7页
Chinese Pharmacological Bulletin
基金
国家科技重大专项项目(No 2017ZX09304003)。
关键词
网络药理学
分子对接
藏红花
抑郁症
神经营养因子
炎症
氧化应激
network pharmacology
molecular docking
saffron
depression
neurotrophic factor
inflammation
oxidative stress
