Microglia Morphological Categorization in a Rat Model of Neuroinflammation by Hierarchical Cluster and Principal Components Analysis.
Microglia Morphological Categorization in a Rat Model of Neuroinflammation by Hierarchical Cluster and Principal Components Analysis.
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DOI：
10.3389/fncel.2017.00235
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发表时间：
2017
影响因子：
5.3
通讯作者：
López-Ávalos MD
中科院分区：
文献类型：
--
作者：
Fernández-Arjona MDM;Grondona JM;Granados-Durán P;Fernández-Llebrez P;López-Ávalos MD
众所周知，小胶质细胞的形态和功能密切相关，但很少有研究客观地描述不同的形态亚型。为了解决这个问题，在无菌性神经炎的大鼠模型中分析了小胶质细胞的形态参数。在侧脑室(LV)内注射单剂神经氨酸酶(NA)后，会发生急性炎症过程。注射NA的动物和假对照组的切片被免疫标记了小胶质细胞标记物IBA1，它突出了细胞形状的分支和特征。分别于注射后不同时间(2、4、12h)取不同脑区(隔海马核、海马区和下丘脑)的小胶质细胞。通过图像分析软件，每个细胞产生一组15个形态参数。注射NA的大鼠细胞的5个初始参数(包括分形度)与对照组(无一例IL-1β阳性，即监控状态)相比，差异有统计学意义(大部分为IL-1β阳性，即M1状态)。然而，更多的多峰参数被发现更适合于系统聚类分析(HCA)。这种方法指出了小胶质细胞种群在四个簇中的分类。此外，线性判别分析(LDA)提出了三个特定的参数来客观地通过决策树对任何小胶质细胞进行分类。此外，主成分分析(PCA)揭示了两个额外的有价值的变量，允许进一步将小胶质细胞分类为总共八个亚群或类型。在我们的大鼠炎症模型中，这些不同形态类型的时空分布允许将特定的形态类型与小胶质细胞的激活状态和脑位置联系起来。提出了一种基于形态参数的小胶质细胞客观分类方法。在神经氨酸酶诱导的炎症中，小胶质细胞经历了可量化的形态变化。系统聚类和主成分分析允许对小胶质细胞进行形态分类。脑内小胶质细胞的定位是一个相关因素。要点
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. Main points
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影响因子：
5.3
作者：
Karperien A;Ahammer H;Jelinek HF
通讯作者：
Jelinek HF
DOI：
10.1177/1073858414530512
发表时间：
2015-04
期刊：
The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry
影响因子：
--
作者：
Gomez-Nicola D;Perry VH
通讯作者：
Perry VH
影响因子：
7.8
作者：
Hefendehl JK;Neher JJ;Sühs RB;Kohsaka S;Skodras A;Jucker M
通讯作者：
Jucker M
影响因子：
3.3
作者：
Kapoor, Komal;Bhandare, Amol M.;Pilowsky, Paul M.
通讯作者：
Pilowsky, Paul M.
影响因子：
2.9
作者：
Diniz, Daniel G.;Silva, Geane O.;Picanco Diniz, Cristovam W.
通讯作者：
Picanco Diniz, Cristovam W.