中国药理学与毒理学杂志Issue(6)：870-877,8.DOI:10.3867/j.issn.1000-3002.2014.06.009
细胞色素P450CYP3A65斑马鱼模型建立及对环境污染物的生物响应
Generation of cytochrome P-450 CYP3A65 labeled fluorescence transgenic zebrafish and its biological response to environmental pollutants
摘要
Abstract
OBJECTlVE To establish Tg(-6.3CYP3A65∶EGFP) transgenic zebrafish for quick, intuitive detection of heavy metals ( copper, cadmium and zinc) , dioxin-like PCBs ( PCB126) and other environmental pollutants. METHODS Tol2 transposon system was used to generate transgenic zebrafish lines Tg(-6.3CYP3A65∶EGFP) in which CYP3A65 promoter regualated labeled fluorescence. The effect of heavy mentals ( copper, cadmium and zinc ) and PCB126 on the relative amounts of CYP3A65 gene expression was determined by observing the change in fluorescence intensity. RESULTS The relative gene expression of CYP3A65 was significantly increased after 96 h exposure to copper 0.1 and 0.2μmol·L-1 , cadmium 0.35 and 0.7μmol·L-1 , zinc 1.5 and 3μmol·L-1 , and PCB126 2-32μmol·L-1 , respectively ( P<0.01) , but decreased after 96 h exposure to copper 0. 9 μmol·L-1 , cadmium 2. 7 and 5.4 μmol·L-1 , and zinc 24μmol·L-1 , respectively( P<0.01) . CYP3A65 gene expression was significantly increased after 168 h exposure to copper 0.1 and 0.2 μmol·L-1 , cadmium 0.35 and 0.7 μmol·L-1 , zinc 1.5 and 3 μmol·L-1, and PCB126 2-32 μmol·L-1, respectively(P<0.01), but decreased after 168 h exposure to copper 0.9 μmol·L-1, cadmium 2.7 and 5.4 μmol·L-1, and zinc 12 and 24 μmol·L-1( P<0.05) , in a concentration-dependent manner. CONCLUSlON The results suggest that zebrafish CYP3A65 gene expression and the CYP3A65 labeled fluorescence lines can be another candidate biomarker for detecting environmental pollutants.关键词
细胞色素P450 CYP3A65/斑马鱼,转基因/铜/镉/锌/多氯联苯化合物Key words
cytochrome P-450 CYP3A65/zebrafish, transgenic/copper/cadmium/zinc/polychlorinated biphenyls分类
医药卫生引用本文复制引用
李春杰,刘艳琴,钟玉绪,李前,丁日高,付爱玲,赵宝全,赵建,张世勇,潘微彤,蒲韵竹,贾启燕,查晓丹,尚艳楠,黄春倩..细胞色素P450CYP3A65斑马鱼模型建立及对环境污染物的生物响应[J].中国药理学与毒理学杂志,2014,(6):870-877,8.基金项目
全军医学科技“十二五”科研项目重点课题(BWS11R021)；国家科技重大专项(2013ZX09402103) （BWS11R021）
