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  修订日期:2020-03-17   点此下载全文
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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
Hunan academy of Chinese Medicine&
amp
amp
Hunan University of Chinese Medicin
1464856783@qq.com 
黄建华 Huang Jian-hua 湖南省中医药研究院&
湖南中医药大学
Hunan academy of Chinese Medicine&
Hunan University of Chinese Medicin
huangjianhua1985@163.com 
曾宏亮 Zeng Hong-liang 湖南省中医药研究院&
湖南中医药大学
Hunan academy of Chinese Medicine&
Hunan University of Chinese Medicin
zenghl155@163.com 
黄小龙 Huang Xiao-long 湖南省中医药研究院&
湖南中医药大学
Hunan academy of Chinese Medicine&
Hunan University of Chinese Medicin
945019769@qq.com 
舒骏 Shu Jun 湖南省中医药研究院&
湖南中医药大学
Hunan academy of Chinese Medicine&
Hunan University of Chinese Medicin
2437948582@qq.com 
邹笃准 Du-zhun Zou 湖南省中医药研究院&
湖南中医药大学
Hunan academy of Chinese Medicine&
Hunan University of Chinese Medicin
442138391@qq.com 
赵河 Zhao He 湖南省中医药研究院&
湖南中医药大学
Hunan academy of Chinese Medicine&
Hunan University of Chinese Medicin
zh355014223@163.com 
张水寒* Shui-han Zhang 湖南省中医药研究院&
湖南中医药大学
Hunan academy of Chinese Medicine&
Hunan University of Chinese Medicin
zhangshuihan0220@126.com 
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TCMIP、BATMAN等在线数据库结合文献调研构建百合成分数据库,Swiss Target Prediction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,发现百合治疗靶点;Cytoscape构建百合抗抑郁的“成分-靶点-通路”网络,最后进行KEGG通路富集分析。 结果 通过网络药理学方法成功地鉴定了百合中的16种生物活性成分,这些成分可作用于88个抑郁相关的靶标。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(包括:STAT3,AKT1,JUN,VEGFA,TNF,APP,MAPK14,ESR1,AR和HSP90AA1)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AGE-RAGE信号通路、PI3K-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 本研究成功预测了百合抗抑郁的活性成分和潜在靶点,为百合及百合类方抗抑郁机制研究提供了科学依据。
中文关键词:百合  抑郁  网络药理学  通路分析
 
Network Pharmacology Analysis for Predicting Potential Mechanism of Lilium in Treating Dpression
Abstract:Methods Through the online database of TCMIP, BATMAN, etc. combined with the synthetic Lilium database reported in the literature, the Swiss target prediction platform predicts the target targets of each component and forms a "target" network. With depression as the background, it is obtained from the GeneCards, OMIM, and DrugBank databases. For disease targets, find Lilium treatment targets; Cytoscape synthesizes the "component target-pathway" network of Lilium"s antidepressant, and finally conducts KEGG pathway enrichment analysis. Results: Network Pharmacology methods successfully identified 16 biologically active ingredients in Lilium, which acted on 88 depression-related targets. Among them, Lilium saponin may be its main antidepressant component. Lilium 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 Lilium, which provided a scientific basis for the study of antidepressant mechanism of Lilium and Lilium.
keywords:Lilium  depression  network pharmacology  pathway analysis
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