This manuscript describes the methods for induction and scoring of the experimental autoimmune encephalomyelitis (EAE) model, together with the assessment of immune cell distribution and mRNA cytokine levels in lymph nodes, spleen, blood and spinal cord using flow cytometry and quantitative PCR, respectively, at various disease phases.
Multiple sclerosis is presumed to be an inflammatory autoimmune disease, which is characterized by lesion formation in the central nervous system (CNS) resulting in cognitive and motor impairment. Experimental autoimmune encephalomyelitis (EAE) is a useful animal model of MS, because it is also characterized by lesion formation in the CNS, motor impairment and is also driven by autoimmune and inflammatory reactions. One of the EAE models is induced with a peptide derived from the myelin oligodendrocyte protein (MOG)35-55 in mice. The EAE mice develop a progressive disease course. This course is divided into three phases: the preclinical phase (day 0 – 9), the disease onset (day 10 – 11) and the acute phase (day 12 – 14). MS and EAE are induced by autoreactive T cells that infiltrate the CNS. These T cells secrete chemokines and cytokines which lead to the recruitment of further immune cells. Therefore, the immune cell distribution in the spinal cord during the three disease phases was investigated. To highlight the time point of the disease at which the activation/proliferation/accumulation of T cells, B cells and monocytes starts, the immune cell distribution in lymph nodes, spleen and blood was also assessed. Furthermore, the levels of several cytokines (IL-1β, IL-6, IL-23, TNFα, IFNγ) in the three disease phases were determined, to gain insight into the inflammatory processes of the disease. In conclusion, the data provide an overview of the functional profile of immune cells during EAE pathology.
Multiple sclerosis (MS) and its corresponding animal model, experimental autoimmune encephalomyelitis (EAE), show autoimmune neuroinflammation changes in the central nervous system (CNS). Early active MS and EAE lesions are characterized by the presence of infiltrated immune cells. The etiology of MS remains unknown, but is widely considered to involve the destruction of myelin mediated by autoreactive T cells. These autoreactive T cells secrete pro-inflammatory cytokines and chemokines which attract other immune cells such as B cells, monocytes and neutrophils from the circulation. Monocytes differentiate into macrophages. Interferon gamma (IFNγ) secreted by autoreactive T cell polarizes the macrophages into pro-inflammatory macrophages. The pro-inflammatory macrophages release cytokines and reactive oxygen species that promote apoptosis in oligodendrocytes. The death of the oligodendrocytes leads to demyelination. Furthermore, B cells differentiate into plasma cells and release autoantibodies against the myelin sheath, ultimately resulting in degradation of myelin. The loss of myelin leads to degradation of axons and neurons and thereby to the formation of lesion sites in the CNS which represent the main characteristic of MS1. In the periphery, T cells and B cells are activated in the lymph nodes, they proliferate in the spleen and migrate through the circulation into the central nervous system. Monocytes and neutrophils proliferate in the bone marrow and also migrate through the circulation into the central nervous system.
Leukocyte extravasation from bone marrow, spleen and lymph nodes into the blood or from the bloodstream into the CNS is a multistep process that depends on several factors, including molecular interactions between leukocytes and endothelium mediated by chemokines and chemokine receptors. The production of chemokines by various cell types can be induced during the immune reaction by cytokines like tumor necrosis factor-α (TNFα), IFNγ and interleukin-6 (IL-6), which subsequently recruits immune cells to the site of inflammation2,3. Immune cells present a subset of chemokine receptors on their surface, depending on cell type and migration pathway to the inflammatory site. Thus, CXCR2, CCR1 and CXCR1 are expressed on mature neutrophils in bone marrow and blood4, and binding of its ligands, CXCL2, CCL5 or CXCL6, respectively, activates neutrophils and promotes their adhesion to the endothelium and subsequently, the migration of the cells into tissues5-9. CCL2 and CCL20 attract monocytes and Th1/Th17 cells10, which express CCR211 and CCR612, respectively. CCR1 and CCR5, expressed by different cell types, including T cells, monocytes and macrophages13, bind CCL3, CCL5 and CCL7 and are upregulated during MS14. CXCR3 is expressed on T cells and binds CCL9, CCL10 and CCL1115.
One main strategy in MS treatment is the depletion of immune cells or the prevention of immune cell infiltration into the CNS. Therefore, the blockade of specific chemokine receptors has been investigated in EAE. Antagonism or genetic deletion of CCR116, CCR217, CCR718 or CXCR219 reduces EAE pathology, whereas antagonism or genetic deletion of CCR120, CCR520 or CXCR321 did not reduce the pathology. Hence, the expression of specific chemokine receptors on leukocytes is crucial for the infiltration of the latter into the CNS and dictates the course of EAE.
The depletion of immune cells is an effective treatment strategy for MS patients, because infiltrated immune cells release cytokines, such as TNFα, IL-6 and IL-1β, which, in turn, promote the inflammatory process or the degradation of neurons22. Furthermore, auto-reactive Th1 cells release IFNγ, which in turn stimulates macrophages to release TNFα, IL-1β and IL-23.
This manuscript describes the induction of EAE, the determination of the immune cell distribution and the cytokine levels (mRNA) in various tissues in EAE mice. Cells were isolated at different time points during the disease course to provide a time-dependent overview of the inflammatory processes which finally lead to lesion formation in the CNS.
ETHICS STATEMENT: Our experimental procedures are approved by the Ethics Committee of the Regierungspräsidium Darmstadt (Germany) and confirm to National and European regulations. All efforts were made to minimize animal suffering and reduce the number of animals used.
1. EAE Model
2. Preparation of Single Cells for Flow Cytometry Analysis
Note: The antibody mixture consists of 1 µl CD45-Vioblue, 2 µl CD8-eFluor650, 0.5 µl CD11b-eFluor605, 0.5 µl F4/80-PE-Cy7, 1 µl CD3-PE-CF594, CD4-V500, 0.5 µl CD11c-AlexaFluor700, 1 µl CD19-APC-H7 and 1 µl Ly6G-APC-Cy7.
Note: If you take blood, lymph node, spleen and spinal cord then the procedure is as follows: Mice are deeply anaesthetized with a combination of isoflurane (2% in carbogen per minute) and ketamine (100 mg/kg body weight). Next open the thorax, remove the blood with an intracardial stick and perfuse the mice intracardially with cold PBS. Then remove the lymph nodes followed by spleen and finally the spinal cord. If you do not need to perfuse the mice intracardially then euthanize the mice under deep anesthesia by luxation of the neck.
3. Flow Cytometric Analysis
4. Quantitative PCR Analysis
Figure 1 gives a schematic overview of the different methods described in this article. 1) Mice receive an injection of MOG35-55 antigen and develop initial clinical symptoms after 10.7 ± 0.3 days28. A representative disease course of EAE mice is shown in Figure 1. 2) Various tissues (spleen, lymph nodes, lumbar spinal cord) and blood are extracted from control and EAE mice at different time points during the preclinical phase (day 2, day 4, day 6), during the onset of the disease (day 10) and during the acute phase of the disease (day 12, day 14). 3) The mRNA expression profile of cytokines, which regulate EAE development, is determined in the various tissues extracted at different time points during the disease course, using quantitative PCR. 4) Single cells are isolated from various tissues extracted at different time points during the disease course and the immune cell distribution determined using flow cytometry.
In spleen and lymph nodes, T cells and B cells are observed as the most prominent cell type. In contrast to lymph nodes, in the spleen, additionally, a high number of monocytes and neutrophils are present. All immune cells show a transient increase in the lymph nodes during the acute phase, whereas only macrophages, B cells, T cells and neutrophils increase in the spleen. In blood, all immune cells increase transiently during the preclinical phase. In the lumbar spinal cord, a disease-dependent increase in all immune cells is observed, apart from monocytes, which presumably differentiate to macrophages after their entrance into the spinal cord (Figure 2). CD4+ and CD8+ T cells show comparable changes in spleen, lymph node and blood during the different disease courses. Among cells infiltrating the spinal cord, the increase in CD4+ T cells was most pronounced (Figure 3). In Figure 4, the gating-strategy for the determination of the different cell populations is shown. In detail, cell populations described in this manuscript were identified as follows: monocytes (CD45hi, CD3-, Ly6G-, CD19-, CD11c-, CD11b+), macrophages (CD45hi, CD3-, Ly6G-, CD11c-, CD11b+, F4/80hi), neutrophils (CD45hi, CD3-, CD11b+, Ly6G+), dendritic cells (CD45hi, CD3-, Ly6G-, CD19-, CD11c+), B cells (CD45hi, CD3-, CD19+), T cells (CD45hi, CD3+), CD4+ T cells (CD45hi, CD3+, CD4+) and CD8+ T cells (CD45hi, CD3+, CD8+). The numbers of cells are related to the amount of tissue (weight of spleen, lymph nodes, lumbar spinal cord) or the blood volume, thus reflecting the absolute cell count. It is, however, possible to express the cell types as percentages of total cells measured.
In lymph nodes, the expression of IL-23 mRNA is transiently increased during the preclinical phase, whereas the expression of IL-6 mRNA is increased in a disease-dependent manner. In the spleen, IL-6 and IL-23 mRNA expression increases transiently in the preclinical phase, while at the onset of the disease, IL-1β mRNA expression is raised. In blood, the expression of TNFα mRNA is increased in a disease-dependent manner. In the lumbar spinal cord, TNFα, IL-1β and IFNγ increase during the acute phase, whereas IL-6 is upregulated during the onset phase (Figure 5).
Figure 1: Scheme of the Work Flow for Induction and Immunological Assessment of EAE. 1) EAE is induced in mice leading to the development of clinical symptoms. Clinical symptoms are classified by clinical scores, as follows: 0) no signs, 0.5) distal paralysis of the tail, 1) complete paralysis of the tail, 1.5) limp tail and mild weakness of hind legs, 2) limp tail and severe weakness of hind legs, 2.5) limp tail and paralysis of one hind leg, 3) limp tail and paralysis of both hind legs. The number of mice used in the figure shown was 7. The figure has been modified from Barthelmes et al. 28. 2) The mice are sacrificed at different time points during the disease course, spleen, inguinal lymph nodes, blood and lumbar spinal cord extracted and single cells isolated from these tissues. 3) Immune cell distribution in various tissues, as determined by flow cytometry. 4) mRNA expression for various cytokines in the different tissues, as determined by quantitative PCR. Please click here to view a larger version of this figure.
Figure 2: Immune Cell Distribution, Determined by FACS (Fluorescence-Activated Cell Sorting) Analysis in Spleen, Lymph node, Blood and Spinal Cord Samples from EAE Mice at Different Disease Stages. In the experiment shown, the number of mice per group was 2 – 10. The distribution of neutrophils/monocytes in blood and neutrophils/macrophages in the spinal cord are adapted and modified from Barthelmes et al.28. Please click here to view a larger version of this figure.
Figure 3: CD4+ T cell and CD8+ T cell Distribution in Samples from EAE Mice at Different Disease Stages, Determined by FACS Analysis. A) lymph node, B) spleen, C) blood and D) spinal cord. In the experiment shown, the number of mice per group was 2 – 10. Results are presented as means ± standard errors (SEM). Please click here to view a larger version of this figure.
Figure 4: Gating Strategy for Flow Cytometric Analysis of T Cells, B Cells, Neutrophils, Monocytes, Dendritic Cells and Macrophages from Spinal Cord of EAE Mice on Day 12. A) A plot of SSC/CD45 from all cells. Gate: CD45+ cells. B) A plot of FSC-H/FSC-W from CD45+ cells. Gate: single cells. C) A plot of SSC-A/FSC-A from single cells. Gate: viable cells. D) A plot of FSC-H/CD3 from viable cells. Gate: CD3+ and CD3– cells. E) A plot of CD4/CD8 from CD3+ cells. Gate: CD4+CD8– (CD4+ T cells) and CD4–CD8+ (CD8+ T cells). F) A plot of CD19 and Ly6G/CD11b from CD3– cells. Gate: CD19+CD11b– cells (B cells), Ly6G+CD11b+ cells (neutrophils) and CD19–Ly6G– cells. G) A plot of CD11c/CD11b cells from CD19–Ly6G– cells: Gate CD11c+ cells (dendritic cells) and CD11c– cells. H) A plot of SSC/F4/80 from CD11c– cells. Gate: F4/80– cells (monocytes) and F4/80+ cells (macrophages). One representative plot of 9 is shown. Please click here to view a larger version of this figure.
Figure 5: Cytokine Profile (IL-1β, IL-6, IL-23, TNFα, IFNγ) in Samples from EAE Mice at Different Disease Stages. A) lymph node, B) spleen, C) blood and D) spinal cord. The mRNA expression levels were normalized to peptidyl propyl isomerase A (PPIA) and were calculated using the mRNA level of untreated mice of the same age. Measurements were done in triplicate. The number of mice per group was 2 – 3. Results are presented as means ± standard errors (SEM). Please click here to view a larger version of this figure.
Gene | forward | reverse | fragement size (Bp) | ||||
IL-1β | CTGGTGTGTGACGTTCCCATTA | CCGACAGCACGAGGCTTT | 76 | ||||
IL-6 | TAGTCCTTCCTACCCCAATTTCC | TTGGTCCTTAGCCACTCCTTC | 76 | ||||
IL-23 | GAGCAGCAACTCTGACTGAGCC | GAACAGCACAAGTCCTAATGGGTTA | 127 | ||||
IFNγ | CACGGCACAGTCATTGAAAGC | CACCATCCTTTTGCCAGTTCC | 118 | ||||
TNFα | TGACAAGCCTGTAGCCCACG | GCCTTGTCCCTTGAAGAGAACC | 178 | ||||
PPIA | GCTGGACCAAACACAAACGG | GCCATTCCTGGACCCAAAAC | 144 |
Table 1: Primer pairs.
The EAE model described here has received the most attention as a model of MS and is routinely used in testing therapeutic strategies for MS32. The mouse disease exhibits many clinical and histological features of MS and is caused by the induction of autoimmunity to neuronal antigens. The sensitization to myelin antigens is associated with blood brain barrier dysfunction and thereby, immune cell infiltration into the CNS. Our findings show that immune cells increase transiently in the lymph nodes in the acute phase. Splenic T cells and B cells decrease in the preclinical phase of the disease. In circulating blood, T cells, B cells, dendritic cells and monocytes increase transiently in the preclinical phase, whereas neutrophils increase disease-dependently. Finally, in the spinal cord, an increase in immune cells is detectable (Figure 2). These data indicate that T cells and B cells migrate from the spleen, which acts a reservoir for these cells, to the lymph nodes where they are activated and proliferate. Subsequently, they migrate via the circulation into the spinal cord. Neutrophils, monocytes and dendritic cells, on the other hand, migrate from the bone marrow through the circulation into the CNS.
Our data reveal that in the spinal cord, IFNγ, TNFα and IL-1β are regulated in a disease-dependent manner, whereas IL-6 is transiently upregulated at the onset of disease. These data support the hypothesis that EAE pathology is driven by Th1 and Th17 cells. Th1 cells release IFNγ, which in turn activates macrophages to release TNFα and IL-1β33. Moreover, IL-6 is known to drive differentiation of Th1 and Th17 cells and thereby promote the development of EAE34.
The day of onset of clinical symptoms and the severity of the disease is variable in EAE mice. Based on our experience, there are several reasons for this. Mice exposed to stress during the preclinical phase show a reduced severity of disease and a delay in disease onset. The housing of the mice also influences the severity of EAE and also the day of onset. Recently, it was shown that the commensal microbiota of mice influence the development of EAE35 and different housing situations may influence the microbiome and thereby, the EAE pathology. Furthermore, it is very important always to use freshly prepared pertussis toxin. Pertussis toxin damages the blood brain barrier which is a prerequisite for the development of EAE. Do not use emulsified MOG35-55 peptide after the expiry date. The age of the mice also influences EAE pathology. Thus, there are some rules which should be fulfilled in order to generate a reproducible EAE model. Use mice aged between 10 and 13 weeks and mice from the same supplier, if possible. If the mice are ordered from an external supplier, allow the mice to acclimatize for two weeks in the animal house. Handle the mice gently before EAE induction so that they get used to the handling. Avoid unnecessary handling after EAE induction. Provide the mice with food and water which they can easily reach as soon as they show clinical symptoms. If the mice are to be treated with a drug, it is best to mix it into the food or drinking water, to avoid confounding stress effects. If gavage or an injection is essential for drug administration, it is important to use the same route for the vehicle.
In addition to the primary progressive EAE model described here, relapsing-remitting EAE models also exist. The different disease course is induced by the administration of different antigens in various mouse strains. Thus, the application of MOG35 – 55 in mouse strains, such as C57BL/6, Sv129, B10, NOD and Biozzi mice, leads to a primary progressive disease form. Interestingly, the day of onset differs in the various mouse strains. Whereas C57BL/6, SV129 and B10 mice develop first clinical symptoms from about day 11 to 12, Biozzi mice show first clinical symptoms after 21 days36. In a previous study, it was shown that 129S4/SvJae×C57BL/6 hybrids first exhibit clinical symptoms from about day 1128. The injection of proteolipid protein (PLP)131-151 leads in SJL mice to the induction of a relapsing-remitting disease course37. The best EAE model to use will depend on the focus of the research. Thus, if the relapse phase is of interest, the relapse-remitting model should be employed whereas if disease onset is the main focus, the progressive model should be used. If the role of a specific protein is to be investigated in the EAE model, using knock-out mice, it is important to bear in mind that not all strains can be used to induce EAE and possibly backcrossing of the knock-out strain onto a sensitive strain is necessary.
The three most widely used types of animal models of MS are (1) autoantigen -induced EAE; (2) virally induced spontaneous, chronic demyelinating disease, and (3) toxin-induced demyelination38. EAE models are characterized by the induction of inflammation and autoimmune responses by the application of an autoantigenic peptide such as myelin oligodendrocyte protein or proteolipid protein38. Spontaneous EAE develops in transgenic mice which overexpress a T cell receptor against a peptide of the myelin oligodendrocyte protein39. To induce virally-induced chronic inflammation, a neurotrophic infection of the central nervous system can be induced, for example, with Theiler`s murine encephalomyelitis virus. Cells infected with the virus are attacked by both T cells and a humoral response and lead thereby to chronic demyelination40,41. Toxin-induced demyelination can be induced for example with the copper chelator cuprizone42. This model leads specifically to demyelination because cuprizone attacks the oligodendrocytes and leads, thereby, to activation of astroglia and microglia, whereas inflammatory processes only play a minor role. After clearance of the toxin, new oligodendrocytes are generated and a new myelin sheath is formed. The use of these three models, in a complementary way, allows evaluation of drug effects on different aspects of the pathogenesis of MS, because the models differ with regard to inflammatory, and immune and demyelinating processes. In EAE and the virus-induced model, inflammation and autoimmune processes primarily drive the disease, whereas in the toxin-induced model, demyelinating and remyelinating processes are predominant. For preclinical testing of potential drugs for MS treatment, at least three models, a toxin-induced model, a relapse-remitting EAE and a primary progressive EAE or a virally-induced model should be used to verify the effectiveness of the drug.
The EAE model described here can be used to gain further insight into the mechanism of the development of the MS-like disease process, identifying key cellular drivers of the disease, such as Th1, Th17 and B cells43,44. The better the understanding of the inflammatory and immune processes involved in the development of MS and of the processes which promote and resolve the lesions, the more likely it is that new treatment strategies can be developed.
Nevertheless, the EAE model described here merely has some characteristics in common with MS, and features a few clear differences from the human disease. The most prominent difference is that MS patients vary widely in disease presentation, which is not reproduced in the EAE model. This may be due to different lesion patterns in MS patients and EAE mice and to the fact that mice are inbred strains. In EAE mice, homogeneous lesions are most prominent in the spinal cord, whereas in MS patients, primarily heterogeneous lesions are found in the brain45,46. Furthermore, MS and the EAE share the crucial contribution of Th1 cells and Th17 cells for their development, but in contrast to MS, CD8+ T cells play a minor role in EAE pathology33. In conclusion, the EAE model focuses mainly on the combined effects of autoimmunity, inflammatory processes and neurodegeneration whereas demyelinating processes are less amenable to selective assessment. Therefore, other animal models such as the cuprizone model can be used for the distinct study of demyelinating processes47. The EAE model is imperfect, but nevertheless, a useful model of MS33.
The authors have nothing to disclose.
This work was supported by the Else Kröner-Fresenius Foundation (EKFS) Research Training Group Translational Research Innovation – Pharma (TRIP) and by the “Landesoffensive zur Entwicklung wissenschaftlich-ökonomischer Exzellenz (LOEWE), Schwerpunkt: Anwendungsorientierte Arzneimittelforschung” of the State of Hesse.
ABI Prism 7500 Sequence Detection System | Applied Biosystems, Austin, USA | quantitative PCR system | |
Accutase | Sigma Aldrich Munich, Germany | A6964 | cell detachment solution |
CD3-PE-CF594 | BD, Heidelberg, Germany | 562286 | |
CD4-V500 | BD, Heidelberg, Germany | 560782 | |
CD8-eFluor650 | eBioscience, Frankfurt, Germany | 95-0081-42 | |
CD11b-eFluor605 | eBioscience, Frankfurt, Germany | 93-0112-42 | |
CD11c-AlexaFluor700 | BD, Heidelberg, Germany | 560583 | |
CD19-APC-H7 | BD, Heidelberg, Germany | 560143 | |
CD45-Vioblue | Miltenyi Biotec, Bergisch Gladbach, Germany | 130-092-910 | |
CompBeads | BD, Heidelberg, Germany | 552843 | compensation beads |
Collagenase A | Sigma Aldrich Munich, Germany | C0130 | |
Cytometric absolute count standard | Polyscience, Eppelheim, Germany | BLI-580-10 | |
Cytometer Setup and Tracking beads | BD, Heidelberg, Germany | 642412 | |
DNase I | Sigma Aldrich Munich, Germany | D5025 | |
EAE Kit | Hooke Laboratories, Lawrence, USA | EK2110 | |
F4/80-PE-Cy7 | BioLegend, Fell, Germany | 123114 | |
First Strand cDNA-Synthesis kit | Thermo Scientific, Schwerte, Germany | K1612 | |
Fc receptor-1 blocking buffer | Miltenyi Biotec, Bergisch Gladbach, Germany | 130-092-575 | |
Flow cytometric absolute count standard | Polyscience, Eppelheim, Germany | 580 | |
FlowJo software v10 | Treestar, Ashland, USA | flow cytometry software | |
LSRII/Fortessa | BD, Heidelberg, Germany | flow cytometer | |
Ly6G-APC-Cy7 | BD, Heidelberg, Germany | 560600 | |
Lysing solution | BD, Heidelberg, Germany | 349202 | |
Maxima SYBR Green | Thermo Scientific, Schwerte, Germany | K0221 | fluorescent DNA binding dye |
RNeasy Mini Kit | Qiagen, Hilden, Germany | 74104 | RNA extraction kit |