Fernández-Arjona María Del Mar, Grondona Jesús M, Granados-Durán Pablo, Fernández-Llebrez Pedro, López-Ávalos María D
Departamento de Biología Celular, Facultad de Ciencias, Genética y Fisiología, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de MálagaMálaga, Spain.
Front Cell Neurosci. 2017 Aug 8;11:235. doi: 10.3389/fncel.2017.00235. eCollection 2017.
It is known that microglia morphology and function are closely related, but only few studies have objectively described different morphological subtypes. To address this issue, morphological parameters of microglial cells were analyzed in a rat model of aseptic neuroinflammation. After the injection of a single dose of the enzyme neuraminidase (NA) within the lateral ventricle (LV) an acute inflammatory process occurs. Sections from NA-injected animals and sham controls were immunolabeled with the microglial marker IBA1, which highlights ramifications and features of the cell shape. Using images obtained by section scanning, individual microglial cells were sampled from various regions (septofimbrial nucleus, hippocampus and hypothalamus) at different times post-injection (2, 4 and 12 h). Each cell yielded a set of 15 morphological parameters by means of image analysis software. Five initial parameters (including fractal measures) were statistically different in cells from NA-injected rats (most of them IL-1β positive, i.e., M1-state) compared to those from control animals (none of them IL-1β positive, i.e., surveillant state). However, additional multimodal parameters were revealed more suitable for hierarchical cluster analysis (HCA). This method pointed out the classification of microglia population in four clusters. Furthermore, a linear discriminant analysis (LDA) suggested three specific parameters to objectively classify any microglia by a decision tree. In addition, a principal components analysis (PCA) revealed two extra valuable variables that allowed to further classifying microglia in a total of eight sub-clusters or types. The spatio-temporal distribution of these different morphotypes in our rat inflammation model allowed to relate specific morphotypes with microglial activation status and brain location. An objective method for microglia classification based on morphological parameters is proposed. Microglia undergo a quantifiable morphological change upon neuraminidase induced inflammation.Hierarchical cluster and principal components analysis allow morphological classification of microglia.Brain location of microglia is a relevant factor.
已知小胶质细胞的形态与功能密切相关,但仅有少数研究客观地描述了不同的形态亚型。为解决这一问题,在无菌性神经炎症大鼠模型中分析了小胶质细胞的形态学参数。在侧脑室内注射单剂量的神经氨酸酶(NA)后会发生急性炎症过程。对注射NA的动物和假手术对照组的切片用小胶质细胞标志物IBA1进行免疫标记,该标志物突出了细胞形状的分支和特征。利用切片扫描获得的图像,在注射后不同时间点(2、4和12小时)从各个区域(隔纤维核、海马体和下丘脑)采集单个小胶质细胞。通过图像分析软件,每个细胞产生一组15个形态学参数。与对照动物的细胞(均无白细胞介素-1β阳性,即监视状态)相比,注射NA的大鼠的细胞中有五个初始参数(包括分形测量)在统计学上存在差异(其中大多数为白细胞介素-1β阳性,即M1状态)。然而,发现额外的多峰参数更适合用于层次聚类分析(HCA)。该方法指出小胶质细胞群体可分为四类。此外,线性判别分析(LDA)提出了三个特定参数,可通过决策树客观地对任何小胶质细胞进行分类。此外,主成分分析(PCA)揭示了另外两个有价值的变量,可将小胶质细胞进一步分为总共八个亚类或类型。在我们的大鼠炎症模型中,这些不同形态类型的时空分布使特定的形态类型与小胶质细胞激活状态和脑区位置相关联。提出了一种基于形态学参数的小胶质细胞分类的客观方法。神经氨酸酶诱导的炎症会使小胶质细胞发生可量化的形态变化。层次聚类和主成分分析可对小胶质细胞进行形态学分类。小胶质细胞的脑区位置是一个相关因素。