Astrocytes in the CNS change their functional and structural properties in response to harmful stimuli. This report presents a protocol for assessment of three-dimensional astrocyte morphology in diseased conditions or after therapeutic interventions.
As glial cells in the brain, astrocytes have diverse functional roles in the central nervous system. In the presence of harmful stimuli, astrocytes modify their functional and structural properties, a condition called reactive astrogliosis. Here, a protocol for assessment of the morphological properties of astrocytes is presented. This protocol includes quantification of 12 different parameters i.e. the surface area and volume of the tissue covered by an astrocyte (astrocyte territory), the entire astrocyte including branches, cell body, and nucleus, as well as total length and number of branches, the intensity of fluorescence immunoreactivity of antibodies used for astrocyte detection, and astrocyte density (number/1,000 µm2). For this purpose three-dimensional (3D) confocal microscopic images were created, and 3D image analysis software such as Volocity 6.3 was used for measurements. Rat brain tissue exposed to amyloid beta1-40 (Aβ1-40) with or without a therapeutic intervention was used to present the method. This protocol can also be used for 3D morphometric analysis of other cells from either in vivo or で vitro conditions.
In healthy central nervous system (CNS), astrocytes play an important role in the regulation of blood flow, energy metabolism, synaptic function and plasticity, and extracellular ion and neurotransmitter homeostasis1-3. In addition, astrocytes respond to different harmful stimuli and abnormal conditions such as trauma, infection, ischemia or neurodegeneration via reactive astrogliosis which is characterized by hypertrophy, proliferation and functional remodeling of astrocytes4,5.
Reactive astrogliosis can engineer the inflammatory response and repair process in the tissue and, therefore, can affect the clinical outcome of therapeutic interventions. Accordingly, astrocytes have received attention from neuroscientist during the last decades as potential targets for therapeutic interventions for a variety of diseases affecting the CNS.
Astrocytes normally have a stellate shape with well-defined branches that spread around the soma6. In a diseased condition in the brain, astrocyte branches become convoluted and show swollen ends7, for example in the presence of amyloid beta (Aβ).
This article presents a protocol for analyzing 3D images of astrocytes acquired by confocal microscopy. Twelve different quantitative parameters for each astrocyte were measured: the surface areas and volumes of the astrocyte territory (the tissue covered by an astrocyte), entire cell (including branches), cell body, and nucleus; the total length and number of branches; the fluorescence intensity of antibodies used for astrocyte detection; and the density of astrocytes (number/1,000 µm2). For this purpose, we used brain sections from rats exposed to intrahippocampal injection of Aβ1-40 with or without genistein treatment as an anti-inflammatory substance. The described protocol can be used for morphometric analysis of different cell types in vitro or in vivo in different conditions.
This study was carried out in accordance with the policies set forth in the Guide for the Care and Use of Laboratory Animals (NIH) approved by Ethic Committee of Iran University of Medical Sciences (Tehran, Iran).
1. Animals, Surgery and Specimen Preparations
NOTE: Prepare brain tissue for 3D confocal microscopic analysis.
2. Immunohistochemistry
3. Confocal Microscopy
NOTE: For quantitative evaluation (see below), select an astrocyte with a clearly visible DAPI-stained nucleus with a minimum of overlapping branches to reduce the risk of errors. Producing Z-Stack images is time consuming. Be patient and do not stop during processing. Upright confocal laser scanning microscope is used to create 3D images from astrocytes.
4. Astrocyte Density and GFAP+ Fluorescence Intensity
5. Astrocyte Branches
6. Volume and Surface Area
NOTE: Marking a structure manually in 3D image analysis software requires focus and training. Practice several times before starting an experiment.
This section presents some examples of the qualitative and quantitative observations produced by 3D morphometric analysis. For complete results of all 12 parameters mentioned earlier, please see our previous publication10.
Qualitative Observations
Astrocytes exhibited thin or thick branches that were usually long in Aβ1-40 injected rats (Figure 1). A few small stellate-shaped astrocytes with short branches were observed in the cerebral cortex, and a compact network of astrocytes occurred in the corpus callosum.
Astrocytes in the brain tissues of animals with Aβ1-40‒injection followed by genistein treatment exhibited a stellate form with short and thin branches (Figure 2)10. A few astrocytes showed an atrophic appearance.
Astrocyte Density and GFAP+ Fluorescence Intensity
The mean number of astrocytes/1,000 µm2 was significantly higher in rats with Aβ1-40‒injection in comparison with animals in Aβ1-40‒injection and genistein treatment group (P <0.0001). In addition, the GFAP+ fluorescence intensity was significantly lower in the brain section with genistein treatment compared with non-treated Aβ1-40 injected animals (Figure 3).
Morphometric Analysis of Astrocytes Volume
The volume of the astrocyte nucleus, cell body, entire astrocyte and astrocyte territory decreased significantly in the genistein treatment group compared with untreated animals. This result suggests that genistein ameliorated the astrogliosis caused by the presence of amyloid (Figure 4A–D).
Figure 1. Confocal image of an astrocyte. An individual astrocyte with thick and long branches (arrowhead) and DAPI-labeled nucleus (arrow) in a rat brain subjected to hippocampal injection of Aβ1-40. Please click here to view a larger version of this figure.
Figure 2. Confocal image of an astrocyte. An astrocyte with short branches (arrowhead). In a rat brain subjected to hippocampal Aβ1-40‒injection, and genistein pre-treatment administered by gavage. Please click here to view a larger version of this figure.
Figure 3. GFAP+ fluorescence intensity decreased significantly in animals with Aβ1-40‒injection that received genistein pre-treatment. Values are mean ± SEM. Fifty astrocytes per animal were evaluated. P <0.05 was regarded as significant, and T-test was used to compare the data between groups with or without treatment. Please click here to view a larger version of this figure.
Figure 4. The mean volume of nucleus (A), cell body (B), astrocyte (including branches; (C), and territory (D) in brain samples taken from rats subjected to Aβ1-40‒injection, with or without genistein pre-treatment. Genistein significantly ameliorated the enlargement of nucleus, cell body, the entire astrocyte, and astrocyte territory (see ref10). Values are mean ± SEM. Fifty astrocytes per animal were evaluated. P <0.05 was regarded as significant, and T-test was used to compare the data between groups before and after treatment. Please click here to view a larger version of this figure.
In the current protocol, we employed 3D confocal morphometry to evaluate 12 different parameters that were associated with astrocyte morphology. For this purpose, hippocampal tissue of rats with Aβ1-40‒induced astrogliosis, with or without genistein pretreatment as an anti-inflammatory agent were used. By using 3D images and morphometric software, we were able to show the effect of genistein on astrogliosis i.e. the morphology of astrocytes.
Changes in the intra- and extra cellular environment of the brain tissue can alter volume and/or size of cells/tissue. These alterations are considered pathological hallmarks in various brain injuries3,11. In order to quantify these alterations, a number of techniques are used. Most investigations are based on using 2D low resolution images captured by light- or electron microscopy (EM) that give information only about a small fraction of the cell. To overcome this limitation, 3D confocal morphometry on high resolution images was developed11. Another advantage of confocal microscopy is that the architecture of a cell can be studied since several consecutive 2D images are obtained while Z-Stack imaging is performed. In addition, 3D confocal microscopy raises the possibility to improve the quality of the images by filtering background noise11.
The method presented here is time-consuming; taking Z-Stack images with a confocal microscope takes several minutes for each single cell. In addition, manually marking a structure in software requires some practice, and the researcher may need to redo the drawing several times to be sure that the structure is correctly marked. It should be mentioned that the ‘Magic’ tab in 3D image analysis software such as Volocity, can be used to automatically mark all DAPI‒stained nuclei in a single image. This option can be used when astrocytes are cultured. The brain sections, however, contain not only astrocytes but also many other cells such as microglia and neurons. This means that many of the DAPI-stained nuclei do not belong to astrocytes. The nuclei associated with astrocytes should be manually marked using images having both DAPI-labeled nuclei and GFAP-immunoreactive astrocytes.
In this protocol, antibodies against GFAP were used to visualize astrocytes in paraffin sections. Astrocytes can also be visualized by using other antigens12,13, or transgenic mice. The investigators should be aware of limitations of the methods, and use the best possible experimental design based on their aims. The limitation of using antibodies against GFAP, for example, is that only 10-15% of the cytoskeleton can be detected. This limitation, however, can become an advantage when studying astrogliosis; the increase number of astrocytes and a dense network of astrocytes’ branches in astrogliosis can make it difficult to identify a single cell if a larger area of the cell is detected. Although this protocol describe the quantification of 12 different parameters but the investigator can choose the ones that suit their aim. According to our experience, the measurements of all parameters can give valuable information about the parameters that are significantly affected in a certain condition or by a treatment. The quantification method performed on 3D pictures captured in confocal microscope can also be performed on frozen sections. The issue is to treat the samples (fixation, dehydration, embedding and sectioning) in a similar way since these steps can lead to shrinkage or swelling of the tissue.
In conclusion, 3D confocal imaging, in combination with morphometric software, makes it possible to quantify several parameters associated with the morphology of a cell. The protocol we presented here can be used for evaluation of morphological changes that appear in a cell, in different pathological conditions, or as the effect of an intervention strategy.
The authors have nothing to disclose.
The authors have nothing to disclose.
Amyloid beta 1-40 | Sigma Aldrich | 79793 | Keep in -70 °C |
Genistein | Sigma Aldrich | 446-72-0 | keep in -20 °C |
polycolonal rabbit antibodies against glial fibrillary acidic protein | DAKO | Z0334 | |
alkaline phosphate-conjugated swine anti-rabbit IgG antibodies | DAKO | ||
Liquid Permanent Chromogen | DAKO | K0640 | |
Liquid permanent Red Substrate Buffer | DAKO | K0640 | |
Cremophor EL | Sigma Aldrich | 27963 | Polyethoxylated castor oil – Step 1.1 |
LSM 700 Confocal Laser Scanning Microscopy | Carl Zeiss | ||
Volocity 6.3 | Perkin Elmer Inc., | ||
Image Analysis 2000 | Tekno Optic | ||
Streotaxic apparatus | Stoelting | ||
Graph pad Prism 5 | Graph pad software Inc. |