Lung fibrosis model made by repeated low - dose of paraquat administered intraperitoneally in mice
10.3760/cma.j.issn.1671-0282.2011.12.016
- VernacularTitle:百草枯反复小剂量腹腔给药诱导小鼠肺纤维化模型
- Author:
Li CHEN
;
Jie QIAN
;
Yan YE
;
Xiaoye LU
;
Changqing ZHU
;
Shuang YE
- Publication Type:Journal Article
- Keywords:
Paraquat;
Bleomycin;
Lung injury;
Pulmonary interstitial fibrosis
- From:
Chinese Journal of Emergency Medicine
2011;20(12):1285-1289
- CountryChina
- Language:Chinese
-
Abstract:
Objective To study the differences between the animal model of pulmonary injury/ fibrosis induced by using paraquat and that induced by using bleomycin in mice in order to establish an ideal mouse pulmonary fibrosis model.Methods Thirty healthy and 8 ～ 10 weeks old male C57BL/6J (C57) mice were randomly (random number) divided into paraquat group (n =10),bleomycin group (n =10),and control group (n =10).Paraquat ( 10 mg/kg) was given to mice intraperitoneally once every three days for 5 times in paraquat group.Bleomycin was injected into trachea of mice in a dose of 3 mg /kg in bleomycin group.The mice were sacrificed 7 days,14 days and 21 days after administration of drug.The general physical condition,body weight and pulmonary pathological changes were observed.Data were analyzed with SPSS13.0 statistical package.The comparison was made between two groups with mann -whitney U- test.Results Both agents could induce pulmonary injury and fibrosis.After comparison of survival rate,body weight,pulmonary histopathological change and rate of successful modelling,the repeated low - dose of paraquat injected intraperitoneally was proved to be a method of more simple and effective with high success rate of modeling in comparison with the conventional technique of intratracheal injection of bleomycin.Conclusions By the comparison between two methods of establishing pulmonary injury and fibrosis models in mice,the method of repeated low - dose intraperitoneal injection of paraquat is superior over the bleomycin - induced method in respect of higher rate of successful modelling.
