中国比较医学杂志2018，Vol.28Issue(6)：10-14,5.DOI:10.3969/j.issn.1671-7856.2018.06.003
单增李斯特菌感染TNF-α人源化小鼠模型的建立与应用
Establishment and application of a TNF-α humanized mouse model of Listeria monocytogenes infection
摘要
Abstract
Objective TNF-α monoclonal antibody drugs are widely used to treat conditions such as rheumatic arthritis and ankylosing spondylitis. On the other hand, it is also a wide concern that the application of these drugs may increase the susceptibility of patients to infections such as tuberculosis and listeriosis. The aim of this study was to establish a mouse model of Listeria monocytogenes infection and to evaluate the effect of TNF-α monoclonal antibody on the host susceptibility to this infection. Methods Six SPF 14-week old female C57BL/6 mice and 12 SPF 14-week old female TNF-α humanized mice were injected with saline or adalimumab intravenously, and challenged with intraperitoneal injection of 104 CFU Listeria monocytogenes 24 h later. After one day or 4 days, the mice were sacrificed to examine the pathological lesions and the bacterial load in the spleen and liver. Results Four days after infection, the area of microabscess in the liver tissues was significantly increased in the adalimumab-treated group. The bacterial load in the spleen and liver tissues of the adalimumab-treated group was significantly higher than that of the C57BL/6 mouse control group and TNF-α humanized mouse control group (P ＜ 0. 05). However, the distribution of macrophages in the liver tissues and B cells in the spleen tissues were similar among groups. Conclusions TNF-α plays an important role in the host immune responses to Listeria monocytogenes infection. After the intervention with TNF-α monoclonal antibody, the progress of host disease is significantly exacerbated.关键词
TNF-α单抗/单增李斯特菌/易感性/小鼠模型Key words
TNF-α monoclonal antibody/Listeria monocytogenes/susceptibility/mouse model分类
医药卫生引用本文复制引用
唐军,孙萌萌,徐艳峰,占玲俊..单增李斯特菌感染TNF-α人源化小鼠模型的建立与应用[J].中国比较医学杂志,2018,28(6):10-14,5.基金项目
国家自然科学基金青年科学基金项目(31600742) （31600742）
中国医学科学院医学与健康科技创新工程重大协同创新项目(2016-I2M-1-013). （2016-I2M-1-013）
