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多靶点调控的整合医学模式探索治疗百草枯中毒的新途径

The Holistic Integrated Medicine Model of Multi-target Regulation Explores a New Way to Treat Paraquat Poisoning
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摘要 目的基于网络毒理学方法研究百草枯作用靶点,构建百草枯-多靶点网络,探究百草枯毒性作用的分子机制,为整合医学模式研究提供新思路。方法通过比较毒理基因组学数据库(CTD)获得百草枯靶基因,通过DAVID数据库综合比较分析百草枯靶点基因的基因本体(GO)功能和京都基因与基因组百科全书(KEGG)代谢通路。结果百草枯的靶基因主要包括TNF、NFE2L2、TGFB1、CAT、CASP3等2 364个基因;GO分析结果显示,百草枯涉及氧化应激反应、无机物质反应、凋亡、程序性死亡等生物学过程;KEGG分析结果显示,百草枯涉及凋亡通路、Toll样受体信号通路、NOD样受体通路等。结论本方法为药物-中毒网络的预测提供了有效的策略,而且为抗百草枯中毒药物研发提供了新思路,从而为整合医学模式的研究提供了重要的依据。 Objective To study paraquat targets,construct a paraquat-target network,explore the molecular mechanism of paraquat toxic effect,and provide a new way for the holistic integrated medicine model,based on the network toxicology method.Methods We used the Comparative Toxicogenomics Database(CTD)to obtain target genes of paraquat,and comprehensively compared and analyzed the function and biological pathway of Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)of paraquat target genes through the DAVID database.Results The target genes of paraquat mainly included 2 364 genes,such as TNF,NFE2L2,TGFB1,CAT,and CASP3.The results of GO analysis showed that paraquat was involved in biological processes such as oxidative stress reaction,inorganic substance reaction,apoptosis,and programmed death.The results of KEGG analysis showed that paraquat was involved in the apoptosis pathway,Toll-like receptor signaling pathway,NOD-like receptor pathway,and so on.Conclusion This method provides an effective strategy for drug poisoning in the network prediction,provides a new method for the research and development of anti-paraquat poisoning drugs,and provides an important basis for the integrate medical model.
作者 刘莹 张彧 李润玖 LIU Ying;ZHANG Yu;LI Runjiu(Department of Emergency,The First Affiliated Hospital of Dalian Medical University,Dalian 116011,China)
出处 《中国医科大学学报》 CAS CSCD 北大核心 2018年第11期980-984,共5页 Journal of China Medical University
基金 西藏自治区自然科学基金(援藏项目xz2017ZR-ZY031) 辽宁省科技厅项目(2012225020)
关键词 整合医学 百草枯 网络毒理学 holistic integrated medicine paraquat network toxicology
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