文章摘要
刘震乾,陈 默,何 磊,宋加兴,高 红,荣良群.小鼠脑缺血再灌注模型稳定性研究[J].,2018,(8):1435-1440
小鼠脑缺血再灌注模型稳定性研究
Study on Stability of Cerebral Ischemia-reperfusion Model in Mice
投稿时间:2017-07-28  修订日期:2017-08-23
DOI:10.13241/j.cnki.pmb.2018.08.007
中文关键词: 脑缺血再灌注  模型稳定性  脑血流监测  TTC染色
英文关键词: Cerebral ischemia reperfusion  Model stability  Cerebral blood flow monitoring  TTC staining
基金项目:国家自然科学基金青年项目(81301120);江苏省高校自然科学基金面上项目(13KJB320027)
作者单位
刘震乾 徐州医科大学第二附属医院 江苏 徐州 221006 
陈 默 徐州医科大学第二附属医院 江苏 徐州 221006 
何 磊 徐州医科大学第二附属医院 江苏 徐州 221006 
宋加兴 徐州医科大学第二附属医院 江苏 徐州 221006 
高 红 徐州医科大学第二附属医院 江苏 徐州 221006 
荣良群 徐州医科大学第二附属医院 江苏 徐州 221006 
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中文摘要:
      摘要 目的:探讨影响小鼠脑缺血再灌注模型成功率,梗死体积以及行为学评分稳定性的因素。方法:采用昆明小鼠75只,体重为20-23 g,随机分为5组,比较在不同长度的线栓以及不同进栓深度的条件下对小鼠脑缺血再灌注模型成功率,梗死体积以及行为学评分的稳定性的影响。同时术中行脑血流监测,比较各组小鼠大脑中动脉脑血流下降的差异。结果:规格1组,模型成功率为40%,梗死体积为(16.7±9.3)%,神经功能缺损评分(NSS):7.2±2.4,大脑中动脉(MCA)血流下降百分比:(86.9±4.2)%;规格2组,模型成功率为46.7%,梗死体积百分比为(19.2±11.6)%,NSS:8.8±2.5,MCA血流下降百分比:(87.4±3.8)%;规格3组,模型成功率为33.3%,梗死体积百分比为(16.6±9.6)%,NSS:8.2±2.6,MCA血流下降百分比:(88.3±3.4)%;规格4组,模型成功率为86.7%,梗死体积百分比为(23.4±2.2)%,NSS:13.9±1.3,MCA血流下降百分比:(87.5±3.5)%。结论:1.小鼠脑缺血再灌注模型稳定性关键因素在于线栓能对后交通动脉(PComA)和大脑前动脉(ACA)起始段形成有效栓塞。2.小鼠大脑中动脉血流监测并不能作为评价小鼠脑缺血再管注模型成功与否的主要依据。
英文摘要:
      ABSTRACT Objective: To investigate the factors that affect the success rate, infarct volume and behavior score stability of cerebral ischemia-reperfusion model in mice. Methods: 75 Kunming mice, weighing 20-23 g, were randomly divided into 5 groups. The effects of different sizes of wire bolts and depth of insertion on the success rate, the volume of infarct and the stability of behavior score in the model of cerebral ischemia-reperfusion in mice were compared. At the same time, the intraoperative cerebral blood flow monitoring was performed to compare the differences of cerebral blood flow in the middle cerebral artery of each group. Results: Specifications 1 group, the success rate of the model was 40%, the infarct volume percentage was (16.7±9.3)%, the neurological deficit score (NSS): 7.2±2.4, the percentage of middle cerebral artery blood flow decreased (86.9±4.2)%; specifications 2 group, the success rate of the model was 46.7%, the percentage of infarct volume was (19.2±11.6)%, NSS:8.8±2.5, the percentage of MCA blood flow decreased: (87.4±3.8)%; specifications 3 group, the success rate of the model was 33.3%, the percentage of infarct volume was (16.6±9.6)%, NSS:8.2 + 2.6, the percentage of MCA blood flow decreased: (88.3 + 3.4)%; specifications 4 group, the success rate of the model was 86.7%, the percentage of infarct volume was (23.4±2.2)%, NSS:13.9±1.3, the percentage of MCA blood flow decreased: (87.5±3.5)%; specifications. Conclusion: 1. The key factor of the stability of the cerebral ischemia reperfusion model in mice is that the suture can effectively plug the posterior communicating arteryand the anterior segment of the anterior cerebral artery. 2. The monitoring of middle cerebral artery flow could not be used as the basis for evaluating the success of cerebral ischemia reperfusion model in mice.
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