脓毒症和胆碱能抗炎通路模型的建立  被引量:6

Establishment of Sepsis and Cholinergic Anti-Inflammatory Pathway Model

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作  者:周文海[1] 李建国[2] 

机构地区:[1]武汉科技大学城市学院医学部,湖北武汉430083 [2]武汉大学中南医院重症医学科,湖北武汉430071

出  处:《武汉大学学报(医学版)》2016年第5期748-751,771,共5页Medical Journal of Wuhan University

基  金:国家自然科学基金资助项目(编号:30972852)

摘  要:目的:建立巨噬细胞和BALB/c小鼠的脂多糖(LPS)脓毒症模型和GTS-21胆碱能抗炎通路模型。方法:RAW264.7和BALB/c小鼠用于观察不同剂量下LPS制作的脓毒症模型和GTS-21制作的胆碱能抗炎通路(CAP)模型。通过酶联免疫吸附试验(ELISA)检测,探索使细胞和小鼠存活时间大于24h,且肿瘤坏死因子(TNFα)和高迁移率族蛋白B1(HMGB1)达最高浓度时的LPS剂量。在此实验基础上寻找有效降低TNFα和HMGB1的最佳GTS-21剂量。结果:RAW264.7细胞模型构建时,脓毒症模型中TNFα和HMGB1表达最高的LPS剂量为50mg/ml,胆碱能抗炎通路模型中最佳GTS-21剂量6μg/ml。小鼠脓毒症模型中,LPS剂量为15mg/kg时,TNFα和HMGB1表达最高且小鼠存活>24h,小鼠CAP模型最佳GTS-21剂量4mg/kg。结论:得出LPS小鼠脓毒症模型和GTS-21胆碱能抗炎通路模型的最佳用药剂量,为探索脓毒症和胆碱能抗炎通路的实验研究奠定基础。Objective:To establish cell and mice sepsis model and cholinergic anti-inflammatory pathway (CAP) model by lipopolysaccharide (LPS) and GTS-21. Methods. RAW264. 7 and BALB/c mice were prepared respectively for cell and mice sepsis model and CAP model. By Enzyme-linked im- munosorbent assay (ELISA) test, the doses of lipopolysaccharide were determined to make cells and the mice surviving longer than 24 hours, with tumor necrosis factor (TNFα) and high mobili- ty group box 1 (HMGB1) up to the highest concentration. Based on the experiment, we go fur- ther for best GTS-21 dose of reducing TNFα and HMGB1 uttermost. Results. In RAW264.7 cell model,to get the maximum concentration of TNFα and HMGB1, the best LPS doses in sepsis model is 50 ng/ml, the best GTS-21 doses in CAP model is 6 μg/ml. In mice sepsis model, the best dose of LPS is 15 mg/kg, which make TNFα and HMGB1 expressed at the highest level and mice live longer than 24 hours, and the best dose of GTS-21 is 4 mg/kg in mice CAP model. Con- clusion. Cell and mice model of sepsis, and CAP models are successfully established by LPS and GTS-21. It provides effective experimental model for exploring the mechanism and drug treatment of sepsis and cholinergic anti-inflammatory pathway.

关 键 词:内毒素 脓毒症 胆碱能抗炎通路 动物模型 

分 类 号:R631[医药卫生—外科学]

 

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