中国比较医学杂志2016，Vol.26Issue(9)：25-29,5.DOI:10.3969/j.issn.1671-7856.2016.09.005
耐药白色念珠菌弥散性感染小鼠模型的建立
The establishment of the drug-resistant Candida albicans disseminated infected mice model
摘要
Abstract
Objective Establishing the drug⁃resistant Candida albicans disseminative infected mice model for new drug screening. Methods The disseminative infected mouse model was generated by intravenously injecting a clinical Drug⁃resistant Candida albicans strain ( CaR) to immunosuppressive ICR mice. The features of model was evaluated by clinical symptom, survival condition, fungal burden in tissue, histopathology, cytokines assay and medication. Results After infected with CaR (0 day), the death of mice started at the first day, though, compared to clinical drug sensitive strain ( CaS) infected group, the difference of mortality rate in 16⁃day observation period was not significant in two groups (CaR, 90�7%;CaS, 86�2%, P =0�158), mice in CaR group died faster than those in CaS group at the early stage;On the fourth day of infection, Candida albicans could be detected in the different tissues, and we found fungal burden in kidney and brain was a significant difference. The typical granuloma caused by fungal infection was the main histopathological feature observed in the kidney, brain and heart. Cytokines in renal tissue were detected by flow cytometry, The changes of IL⁃1α,IL⁃6,TNF⁃αand IFN⁃γin kidney were significant. Compared with CaS group, IL⁃1 and IFN⁃γ were significantly higher and TNF⁃αdecreased significantly in CaR group. The mice of groups CaR and CaS were treated with 10 mg/kg fluconazole, the mortality rates were 83�3% and 37�5%, which have a significant difference. Conclusions In this study, we successfully established a drug⁃resistant Candida albicans disseminative infected mice model which is potential tool for the development of new anti⁃infectious agent.关键词
耐药白色念珠菌/感染/模型Key words
Drug-resistant Candida albicans/Infected/Model分类
医药卫生引用本文复制引用
李航,张钰,龚宝勇,罗银珠,吴玉娥,陈梅玲,陈锐,刘晓霖,王晖,黄韧..耐药白色念珠菌弥散性感染小鼠模型的建立[J].中国比较医学杂志,2016,26(9):25-29,5.基金项目
广东省科技计划项目（2014A010107018）。 （）
