首页> 中文期刊>中国药理学通报 >昆明小鼠焦虑与抑郁动物模型相关性研究:明暗箱实验与悬尾实验

昆明小鼠焦虑与抑郁动物模型相关性研究:明暗箱实验与悬尾实验

     

摘要

目的 探讨明暗箱实验(light/dark box,LDB)和悬尾实验(tail suspension test,TST)作为动物模型评价昆明小鼠焦虑与抑郁情绪的相关性.方法 成年♂昆明小鼠先后放入明暗穿梭箱和悬尾箱,摄像系统分别记录5 min和6 min内的行为变化,实验间隔1周,实验参数如下:LDB首次由明区进入暗区潜伏期(LDB_Latence)、明区停留时间百分率(LDB_Ltime%)、明区水平运动百分率(LDB_Lcross%)、明区垂直运动百分率(LDB_Lrear%),TST首次出现不动状态潜伏期(TST_Latence)、不动状态百分率(TST_Immobility%);采用因子分析、聚类分析、相关分析、一致性检验和生存分析等多种统计方法进行数据处理.结果 ①因子分析和聚类分析提示,LDB参数反映焦虑情绪,TST参数反映抑郁情绪.②相关分析提示,LDB与TST参数组内具有较好相关性,而组间相关性较差;ICC和Kappa统计参数提示,LDB与TST评价焦虑与抑郁情绪一致性较差.③生存分析提示,LDB与TST半数生存期差异无统计学意义.结论 LDB与TST相关参数各自独立反映了焦虑与抑郁情绪,但两者评价结果的相关性和一致性较差;在解决"特质焦虑与状态焦虑动物模型相关性"及"焦虑与抑郁动物模型相关性"科学问题时,可以考虑建立新型动物模型及综合评价方法或者筛选特质种属实验动物;而在进行药物效应评价时,可以考虑将多种动物模型联合组成"行为组学",根据不同结构维度进行"模式识别"评价.%Aim To explore the correlation of light/dark box ( LDB ) and tail suspension test( TST), as animal models of anxiety and depression in Kunming mice. Methods The behavior of adult, male, Kunming mice in LDB and TST was recorded by sequence, for five or six minutes, with a one-week inter-trial interval. The following parameters were evaluated: percentage of time exploring in the LDB light area( LDB_Ltime% ); percentage of squares crossing in the LDB light area( LDB_Lcross% ); and percentage of rears in the LDB light area( LDB_Lrear% ). Subsequently, factor analysis, cluster analysis, correlation analysis , consistency check and survival analysis were calculated for these parameters. Results ① Factor analysis and cluster analysis revealed that variances of LDB had contribution to anxiety, and variances of TST had loading on depression. ② Correlation analysis displayed a good intercorrelation between variances of either LDB or TST, but a poor intracorrelation between these of LDB and TST. Both ICC and kappa reflected a poor consistency on evaluation of LDB and TST. ③ No significant difference be-tween LDB-and TST-median survival of the latence parameter was found. Conclusions LDB parameters load mainly on anxiety factor, and TST parameters have large loading on depression factor; however, there are poor correlation and consistency on LDB and TST. To answer the question, "correlation of animal models between trait anxiety and state anxiety" and " correlation of animal models between anxiety and depression , novel animal models and synthetic evaluation methods should be founded, and new strains should be selected. Furthermore, emphasis should be placed on combination as a "behavionomics" and on "pattern recognition of constructs of multiple animal models when drugs were evaluated.

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