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Figure 3 shows representative IHC and histochemical staining, with examples of both acute (left) and older EAE lesions (right). Representative CD45 staining with hematoxylin counterstaining is shown in Figure 3A,B. Figure 3C–F show examples of LFB staining with (Figure 3C,D) or without (Figure 3E,F) the H&E counterstain. Though hematoxylin is not specific to immune cells, the nuclei of the immune cells stain more darkly and can be distinguished from CNS resident cells. Figure 3G,H show representative staining of SMI-32+ axons, counterstained with hematoxylin. Notice the increased appearance of this stain in older EAE lesions.
Damage of myelinated tracks is most prevalent in the spinal cord in active murine EAE and this is the main driver of paralysis in this disease7,9. Thus, scoring for the presence of inflammation and tissue damage in the spinal cord is prioritized in histological analyses. EAE lesions occur sporadically at different regions (anterior, lateral or dorsal) (Figure 2A,B) and at different levels (sacral, lumbar, thoracic, cervical) of the spinal cord. The described embedding method ensures good sampling of lesions throughout the cord. More sections are embedded than analyzed, since some sections can become damaged in the processing or sectioning process. To ensure representative sampling, a minimum of 3 representative sections are analyzed at cervical, thoracic, and lumbar levels of the spinal cord for each mouse. The identity of each specimen is blinded in order that the person conducting the analysis is not biased when selecting representative sections for analysis.
To gain quick insights into differences in the histological severity of EAE, one can score for the presence of sub-meningeal demyelinating lesions in spinal cord quadrants in selected sections (Figure 2A,B). This is a rapid method that can be performed on scanned images or using a light microscope. This analysis is sensitive enough to detect differences in histological EAE severity between groups when EAE is severe in one group and mild in another. For example, in the experiment in Figure 4, EAE was induced in female wild type (WT) and mice with a deletion in OGR1 (OGR1 KO) using MOG p35-55/CFA plus PTX. Mice in the WT group developed severe EAE with complete paralysis, whereas the OGR1 knockout group developed mild disease. This difference in clinical score corresponded to a difference in the fraction of quadrants that had sub-meningeal lesions (Figure 4C).
It is important to complement the scoring of demyelinating lesions with percent area fraction of myelin staining to capture the extent of loss of myelin and/or myelinated axons during the autoimmune attack. In the example in Figure 4, the percent myelin fraction also differed signficiantly between the OGR1 and WT mice (Figure 4D). The percent myelin fraction also significantly correlates with the cumulative EAE score in mice with EAE (Figure 4E) and therefore serves as a good measure of overall tissue damage in this disease. Note that this protocol does not distinguish the intensity of myelin stain. If this is the desired outcome, one should conduct immunofluorescence staining for myelin proteins such as proteolipid protein or myelin basic protein and measure the intensity of this staining.
In the case where EAE is severe in both comparator groups, a higher fraction of spinal cord quadrants will contain inflammatory/demyelinating lesions. In this case, a more sensitive approach to score inflammation is to count the number of CD45+ leukocytes per mm2 white matter (see representative staining in Figure 3A). The CD45 antibody clone described here detects all infiltrating leukocytes, and only stains occasional microglia that upregulate CD45 expression in EAE (see open arrow in Figure 3B) and therefore is useful at capturing peripheral immune cell infiltration.
In longer-term EAE studies (>20 days), it is recommended that one also carry out an analysis of axon injury. SMI-32 staining in spinal cord sections is a sensitive method to detect damaged axons. Though inflammation in the spinal cord subsides with time and spared axons can re-myelinate, surviving axons exhibit a differential extent of residual injury9 (Figure 3G,H). For example, in the MOG p35-55-induced model of EAE in C57BL6/J mice, the extent of axonal injury and loss is a driver of clinical scores after the inflammatory process has subsided9. Figure 5 shows an example of this in an EAE experiment in male and female mice WT mice and mice that are deficient in a gene called peroxisome proliferator-activated receptor-delta (PPAR-delta) in the myeloid compartment (LysMCre: Ppardfl/fl). In the males, the WT mice regained hindlimb function, yet the clinical scores remained high in male LysMCre: Ppardfl/fl group. By contrast, in the experiment in the females, both experimental groups had high scores throughout. At first glance, this result suggested that PPAR-delta had a sex-specific effect in EAE; however, pathological scoring of the spinal cord revealed that mice of both sexes in the LysMCre: Ppardfl/fl group had increased axonal injury compared to WT counterparts (Figure 5B). A genotype effect on clinical scores was likely not observed in females because WT female mice tended to exhibit increased axonal injury, which manifested into chronic neurological deficits.
In this same experiment, female LysMCre: Ppardfl/fl female mice were found to have more extensive T cell infiltration in the cerebellum, providing an example of how scoring brain inflammation may be useful in EAE. In EAE, inflammation in the brain is predominantly found in the cerebellum and brain stem (Figure 6A,D,G), but can also be found in the meninges (seen under hippocampus in Figure 6C), near the ventricles (Figure 6F), and other white matter tracts including the optic nerve and corpus collosum (Figure 6B,E). Scoring brain inflammation is done in a specific brain region (e.g., cerebellar white matter) by counting the number of CD45 cells per mm2 tissue region using the same methodology as outlined for the spinal cord protocol. In the grossing method outlined here, a cut is in the middle of the cerebellum, which provides the perspective of the cerebellum and brain stem as shown in Figure 6A.
Measuring sNF-L using a SIMOA assay has become a useful biomarker for assessing ongoing axonal injury and responses to therapy in relapsing-remitting MS20,21,27,28. The same SIMOA assay kit used to measure of sNF-L humans can be applied to measure mouse sNFL22,23,24. To explore how well this assay performs is detecting axonal injury in EAE, sNF-L was measured in female C57BL6/J mice at the end-point of an EAE experiment and levels were compared to those in sex-matched healthy control mice that did not have EAE. It was found that mice with EAE had much higher levels of sNF-L than in healthy mice (Figure 7A) and these levels correlated with the density of SMI-32+ axons in the spinal cord (Figure 7B). Compared to histological scoring of axonal injury, the SIMOA assay is faster (from bleeding mice to results can be achieved in just over half a day) and therefore provides rapid feedback of how a treatment is working in living mice. This assay also has the advantage that it reflects axonal injury in both the spinal cord and the brain.

Figure 1: Representative paraffin block of brain and spinal cord sections. The 5 coronal brain sections and spinal cord cross sections (1.5–2 mm thick) are embedded in the same block in order that they can be cut in one section. At least 15 sections of spinal cord should be embedded, allowing for adequate selection of sections for analysis. Please click here to view a larger version of this figure.

Figure 2: Scoring meningeal inflammation and percent myelin area at the level of the thoracic spinal cord. (A,B) show images of the thoracic spinal cord from a female C57BL6/J mouse with MOG p35-55-induced EAE stained with LFB/H&E. Shown is the approach used to visualize quadrants and examples of demyelinating lesions (traced in dotted line). The mouse in A has 4 of 4 quadrants with confluent demyelinating lesions, while the mouse in B has 1 of 4 quadrants affected. The mouse in B does have some inflammation in other quadrants, but this has not manifested into a confluent lesion and therefore is not scored. (C–E) Example of LFB image, and the greyscale and thresholded image in imageJ. Please click here to view a larger version of this figure.

Figure 3: Spinal cord sections stained with CD45, LFB H&E, LFB and SMI-32. Examples of an early (A,C,E,G) and late (B,D,F,H) sub-meningeal lesion in the spinal cord stained for CD45 antibody (A,B), LFB/H&E (C,D), LFB alone (E,F), and SMI-32 antibody (G,H). Black arrows show examples of cells stained with each respective antibody. White arrows show putative microglia that have been stained as CD45+. Scale bar = 50 µm. This figure shows representative staining of lesions in the spinal cord of a female C57BL6/J mouse during EAE and highlights how pathology can be different across different spinal cord sections. Please click here to view a larger version of this figure.

Figure 4: Application of scoring for lesions and percent demyelination in EAE. Shown is an example of an EAE experiment where female mice deficient in Ovarian cancer G-protein coupled receptor 1 (OGR1) gene on the C57BL6/J background developed less severe clinical EAE than wildtype (WT) female C57BL6/J mice. EAE was induced by immunization with MOG p35-55/CFA plus PTX and mice were scored according to the following clinical scale: 1 = tail paralysis. 2 = hindlimb and foot weakness, 3 = hindlimb paralysis, 4 = forelimb weakness, 5 = moribund. (A) Mean + SEM clinical scores of mice over time. (B) Shown is an example of LFB/H&E staining in the ventral spinal cord. Scale bar = 50 µm. (C) Mean + SEM percent quadrants that contained demyelinating lesions. (D) Mean + SEM percent demyelination in each group. (E) shows result from another experiment in MOG p35-55-induced EAE in C57BL6/J mice where EAE scores of individual mice were summed over the 30 days of observation and were correlated with the percent demyelination in the spinal cord. Correlations were performed using a Spearman test. Panels in (A–D) are adapted from Souza C et al.29. Data in (E) are original data. *P<0.05, **P<0.01, ***P<0.001. Please click here to view a larger version of this figure.

Figure 5: Application of SMI-32 staining to understand the effect of a genotype on clinical EAE phenotype. This figure shows an example of an EAE experiment where male and female wildtype (carry floxed allele of Ppard) and myeloid specific Ppard mutant mice (LysMCre: Ppardfl/fl) on the C57BL6/J background were immunized with MOG p35-55/CFA and PTX and were followed for 45 days. (A) shows the mean + SEM clinical scores of mice. (B) shows mean + SEM results of histological scoring of the number of SMI-32+ axons in the spinal cord, %quadrants with submeningeal lesions, percent quadrants with perivascular cuffs, and #CD3 lesions in the cerebellum per mm2 tissue. This experiment showed a genotype effect on SMI-32 staining. This figure is adapted from Drohomyrecky. et al.15. Please click here to view a larger version of this figure.

Figure 6: Examples of CD45+/hematoxylin staining in brain coronal sections in MOG p35-55-induced EAE in female C57BL6/J mice. CD45+ lesions are shown in brown. (A) CD45+ lesions in the brain stem of coronal sections. Scale bar = 150 μm. (B–G) Examples of CD45+ lesions in the optic nerves (B), meningeal extensions under the hippocampus (C), the brain stem (D), the corpus collosum (E), the medial habenula near the ventricle (F), and the cerebellum (G). Scale bar: (B–G) = 50 µm. Please click here to view a larger version of this figure.

Figure 7: sNF-L levels in serum in MOG p35-55-induced EAE. (A) Serum NFL levels collected from female control and EAE mice at end-point of one experiment. Data was analysed using a two-tailed Mann Whitney test. (****p value < 0.0001). (B) Spinal cord sections were harvested at end-point and stained with SMI-32. The number of positive cells per white matter tissue area was determined and correlated with serum NF-L at endpoint using a Spearman test. Please click here to view a larger version of this figure.
Supplementary Table 1: Description of baths used in tissue processing. Cassettes are automatically moved through these series of baths using an automated processor. Please click here to download this File.
Supplementary Table 2: Steps in Luxol Fast Blue and Hematoxylin and Eosin staining. This table outlines the order of steps in the Luxol Fast Blue and Hematoxylin and Eosin staining protocol. Please click here to download this File.
Supplementary Table 3: Antibodies used for immunohistochemical staining. Described are the antibodies that are used in this protocol as well as those that can be used to further explore inflammation, microgliosis, and astrogliosis. Please click here to download this File.
Supplementary Table 4: How to convert .czi to TIFF files. Note that it is optimal to use a high-resolution image, but medium-resolution images can be saved instead if the working memory of the computer is limiting. It is imperative to use images of the same resolution across analyses. Also, note that the last image of the series is the slide label. Avoid reading the label to ensure that the analysis is blinded.30,31 Please click here to download this File.