基于网络药理学的百合抗抑郁作用机制研究
投稿时间:2020-03-05     点此下载全文
引用本文:何丹,黄建华,曾宏亮,黄小龙,舒骏,邹笃准,赵河,张水寒.基于网络药理学的百合抗抑郁作用机制研究[J].中国现代中药,2020,22(12):1996-2005
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作者中文名作者英文名单位中文名单位英文名E-Mail
何丹 HE Dan 湖南省中医药研究院,湖南中医药大学,湖南长沙410013 Hunan Academy of Chinese Medicine,Hunan University of Chinese Medicin,Changsha 410013,China  
黄建华 HUANG Jian-hua 湖南省中医药研究院,湖南中医药大学,湖南长沙410013 Hunan Academy of Chinese Medicine,Hunan University of Chinese Medicin,Changsha 410013,China  
曾宏亮 ZENG Hong-liang 湖南省中医药研究院,湖南中医药大学,湖南长沙410013 Hunan Academy of Chinese Medicine,Hunan University of Chinese Medicin,Changsha 410013,China  
黄小龙 HUANG Xiao-long 湖南省中医药研究院,湖南中医药大学,湖南长沙410013 Hunan Academy of Chinese Medicine,Hunan University of Chinese Medicin,Changsha 410013,China  
舒骏 SHU Jun 湖南省中医药研究院,湖南中医药大学,湖南长沙410013 Hunan Academy of Chinese Medicine,Hunan University of Chinese Medicin,Changsha 410013,China  
邹笃准 ZOU Du-zhun 湖南省中医药研究院,湖南中医药大学,湖南长沙410013 Hunan Academy of Chinese Medicine,Hunan University of Chinese Medicin,Changsha 410013,China  
赵河 ZHAO He 湖南省中医药研究院,湖南中医药大学,湖南长沙410013 Hunan Academy of Chinese Medicine,Hunan University of Chinese Medicin,Changsha 410013,China  
张水寒 ZHANG Shui-han 湖南省中医药研究院,湖南中医药大学,湖南长沙410013 Hunan Academy of Chinese Medicine,Hunan University of Chinese Medicin,Changsha 410013,China 张水寒,研究员,博士生导师,研究方向:中药资源开发和综合利用;E-mail:zhangshuihan0220@126.com 
基金项目:名贵中药资源可持续利用能力建设项目(2060302);全国中药资源普查项目(财社〔2017〕66号);国家中药标准化项目(ZYBZH-Y-HUN-21);湖南省高新技术产业科技创新引领计划项目(2020SK2029)
中文摘要:目的:采用网络药理学方法探究百合抗抑郁的作用机制。方法:通过检索中药系统药理学数据库与分析平台(TCMSP)、BATMAN等在线数据库并结合文献调研,构建百合成分数据库;通过SwissTargetPrediction平台预测各成分潜在作用靶点,构建“成分-靶点”网络;以抑郁症为背景从GeneCards、OMIM、DrugBank数据库获得疾病靶点;通过与百合各成分靶点比对获得百合及抑郁共有靶点;采用Cytoscape构建百合抗抑郁的“成分-靶点-通路”网络,并进行KEGG通路富集分析。结果:通过网络药理学方法筛选得到百合发挥抗抑郁作用的16个生物活性成分,这些成分可作用于88个抑郁症相关的靶标。其中百合皂苷可能是其抗抑郁主要活性成分。百合可通过多靶点(STAT3、AKT1、JUN、VEGFA、TNF、APP、MAPK14、ESR1、AR和HSP90AA1等)参与小胶质细胞激活或衰减及雌激素水平的调节发挥抗抑郁作用,其中晚期糖基化终末产物(AGE)/晚期糖基化终末产物受体(RAGE)信号通路、磷脂酰肌醇3-激酶(PI3K)/蛋白激酶B(Akt)信号通路、鞘脂信号通路、C型凝集素受体信号通路、雌激素信号通路可能是其抗抑郁关键途径。结论:预测了百合抗抑郁的活性成分和潜在靶点,为百合及其复方抗抑郁机制研究提供参考。
中文关键词:百合  抑郁  网络药理学  通路分析  百合皂苷
 
Study on Mechanism of Antidepression of Lilii Bulbus Based on Network Pharmacology
Abstract:Objective:To explore the antidepressant mechanism of Lilii Bulbus by using network pharmacology. Methods:The database of Lilii Bulbus ingredients was constructed a by searching online databases such as the traditional Chinese medicine system pharmacology database and analysis platform (TCMSP),BATMAN and combining literature research. The SwissTargetPrediction platform was used to predict the potential targets of each component and build a ″component-target″ network. The GeneCards,OMIM,and DrugBank databases were used to get the disease targets. The common targets of Lilii Bulbus and depression are obtained by comparing with component target of Lilii Bulbus. Cytoscape was used to construct the ″component-target-pathway″ network of antidepressant in lily,and conduct KEGG pathway enrichment analysis. Results:Network pharmacology methods successfully identified 16 biologically active ingredients in Lilii Bulbus,which acted on 88 depression-related targets. Among them,Lilium saponin may be its main antidepressant component. Lilii Bulbus can participate in microglial activation or attenuation through multiple targets (including STAT3,AKT1,JUN,VEGFA,TNF,APP,MAPK14,ESR1,AR and HSP90AA1),and The regulation of estrogen levels exerts antidepressant effects,among which the AGE/RAGE signaling pathway,PI3K/Akt signaling pathway,sphingolipid signaling pathway,C-type lectin receptor signaling pathway,and estrogen signaling may be the key antidepressant pathways. Conclusion:This study successfully predicted the antidepressant active ingredients and potential targets of Lilii Bulbus,which provided a scientific basis for the study of antidepressant mechanism of Lilii Bulbus.
keywords:Lilii Bulbus  depression  network pharmacology  pathway analysis  Lilium saponin
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