昆明小鼠状态焦虑动物模型结构维度相关性研究
Correlation between two animal models of state anxiety in Kunming mice: evidence from open field test and light-dark box
摘要目的 探讨旷场实验(open field test,OFT)和明暗箱实验(light-dark box,LDB)作为昆明小鼠状态焦虑动物模型的相关性.方法 20只成年雄性昆明小鼠先后放入旷场敞箱和明暗穿梭箱,摄像系统记录5 min的行为变化,实验间隔1周,实验参数如下:OFT中央区停留时间百分率(OFT-Ctime%)、中央区水平运动百分率( OFT-Ccross%)、总水平运动得分(OFT-Cross)、总垂直运动得分(OFT-Rear)和粪便粒数得分(OFT-FB),LDB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%)、穿梭次数得分(LDB-Transition)、总水平运动得分(LDB-Cross)、总垂直运动得分(LDB-Rear)和粪便粒数得分(LDB-FB);采用因子分析、聚类分析和相关分析统计方法进行数据处理.结果 ①因子分析和聚类分析提示,OFT/LDB独立评价时具有相似3维结构:OFT/LDB焦虑因子、OFT/LDB活性因子和OFT/LDB情绪因子;OFT-LDB合并评价时则为五维结构:LDB焦虑因子、OFT焦虑因子、LDB活性因子、OFT-LDB情绪因子和OFT活性因子.②相关分析提示,OFT情绪因子与LDB情绪因子具有较好相关性(Pearson=0.383,P<0.05);LDB焦虑因子与LDB焦虑因子(Pearson=0.989,P<0.01),OFT焦虑因子与OFT焦虑因子(Pearson=0.934,P<0.01),LDB焦虑因子与LDB焦虑因子(Pearson=0.956,P<0.01),OFT/LDB情绪因子与OFT-LDB情绪因子(Pearson=0.835,P<0.01;Pearson =0.696,P<0.01),OFT活性因子与OFT活性因子(Pearson=0.926,P<0.01)具有较好相关性.结论 OFT/LDB独立评价时具有相似三维结构,而OFT-LDB合并评价时则为5维结构:仅OFT/LDB情绪因子可以合并.因此,在以“行为组学”联合评价时,各维度并非一一对应,应注意动物模型异质性问题.
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abstractsObjective To explore the correlation between open field test(OFT) and light-dark box (LDB),as two animal models of state anxiety in Kunming mice.Methods The behavior of adult,male,Kunming mice in OFT and LDB was recorded by sequence,for five minutes,with a one-week inter-trial interval.The following parameters were evaluated:percentage of time exploring in the OFT central area( OFT-Ctime% ) ; percentage of squares crossing in the OFT central area( OFT-Ccross% ) ; total number of squares crossing in OFT(OFT-Cross) ;total number of rears in the OFT(OFT-Rear) ; number of fecal boli in OFT(OFT-FB) ; 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% ) ; transitions between two areas in LDB( LDB-Transition) ; total number of squares crossing in LDB(LDB-Croas) ; total number of rears in LDB(LDB-Rear) ; number of fecal boli in LDB (LDB-FB).Subsequently,factor analysis,cluster analysis and correlation analysis were calculated for these parameters.Results Factor analysis and cluster analysis of variances from either OFT or LDB revealed a three behavioral dimensions:anxiety factor ( loaded by OFT-Ctime%,OFT-Ccross% or LDB-Ltime%,LDB-Lcross%,LDB-Lrear% ),activity factor ( loaded by OFT-Cross,OFT-Rear or LDB-Transition,LDB-Cross,LDB-Rear) and emotionality factor(loaded by OFT-FB or LDB-FB).While all the variances from both OFT and LDB in combination were analyzed,it could be seen as five components:' LDB-anxiety factor ( loaded by LDBLtime%,LDB-Lcross% and LDB-Lrear% ),' OFT-anxiety factor ( loaded by OFT-Ctime% and OFT-Ccross% ),'LDB-activity factor (loaded by LDB-Transition,LDB-Cross and LDB-Rear),'OFT-LDB-emotionality factor( loaded by OFT-FB and LDB-FB) and 'OFT-activity factor (loaded by OFT-Cross and OFT-Rear).Good correlation were found between OFT/LDB factors alone and in combination,such as OFT-emotionality factor and LDB-emotionality factor(Pearson =0.383,P<0.05),LDB-anxiety factor and 'LDB-anxiety factor( Pearson =0.989,P<0.01 ),OFT-anxiety factor and 'OFT-anxiety factor( Pearson =0.934,P < 0.01 ),LDB-activity factor and 'LDB-activity factor ( Pearson =0.956,P < 0.01 ),OFT/LDB-emotionality factor and ' OFT-LDB-emotionality factor ( Pearson =0.835,P<0.01 ;Pearson =0.696,P<0.01 ),OFT-activity factor and 'OFF-activity factor( Pearson =0.926,P<0.01 ).Conclusion Either OFT or LDB comprised three behavioral dimensions:anxiety factor,activity factor and emotionality factor; however,it was difficult to establish face validity as a point-to-point concordance between OFT and LDB.Attention should be paid to heterogeneity of animal models when OFT and LDB were in combination as a "behavionomics" to evaluate anxiolytics in Kunming mice.
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