Original Research ARTICLE
MAdCAM-1-Mediated Intestinal Lymphocyte Homing Is Critical for the Development of Active Experimental Autoimmune Encephalomyelitis
- 1Department of Neurology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
- 2Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
- 3Department of Pediatrics, University Hospital RWTH Aachen, Aachen, Germany
- 4Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas, TX, United States
- 5Department of Pediatrics, Microbiology, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States
- 6Department of Neurology, University of Michigan School of Medicine, Ann Arbor, MI, United States
- 7Department of Neurology, University of Regensburg, Regensburg, Germany
- 8Neurology Section, VA North Texas Health Care System, Dallas, TX, United States
Lymphocyte homing into the intestine is mediated by binding of leukocytes to mucosal addressin cell adhesion molecule 1 (MAdCAM-1), expressed on endothelial cells. Currently, the immune system of the gut is considered a major modulator not only of inflammatory bowel disease, but also of extra-intestinal autoimmune disorders, including multiple sclerosis (MS). Despite intense research in this field, the exact role of the intestine in the pathogenesis of (neuro-)inflammatory disease conditions remains to be clarified. This prompted us to investigate the role of MAdCAM-1 in immunological processes in the intestine during T cell-mediated autoimmunity of the central nervous system (CNS). Using the experimental autoimmune encephalomyelitis model of MS, we show that MAdCAM-1-deficient (MAdCAM-1-KO) mice are less susceptible to actively MOG35−55-induced disease. Protection from disease was accompanied by decreased numbers of immune cells in the lamina propria and Peyer's patches as well as reduced immune cell infiltration into the spinal cord. MOG35−55-recall responses were intact in other secondary lymphoid organs of MAdCAM-1-KO mice. The composition of specific bacterial groups within the microbiome did not differ between MAdCAM-1-KO mice and controls, while MAdCAM-1-deficiency severely impaired migration of MOG35−55-activated lymphocytes to the gut. Our data indicate a critical role of MAdCAM-1 in the development of CNS inflammation by regulating lymphocyte homing to the intestine, and may suggest a role for the intestinal tract in educating lymphocytes to become encephalitogenic.
Lymphocyte circulation and migration is crucial for the maintenance of immunological surveillance and is regulated by the interaction of immune competent cells with high endothelial venules (1). Various adhesion molecules and homing receptors are involved in these processes. For example, recruitment of lymphocytes into the gut mucosa is mediated by binding of cellular α4β7-integrin to mucosal addressin cell adhesion molecule 1 (MAdCAM-1) (2). This molecule is constitutively expressed on high endothelial venules of Peyer's patches (PP) as well as mesenteric lymph nodes, post-capillary venules of the intestinal lamina propria, the lactating mammary gland and in sinus-lining cells in the spleen (3, 4). Furthermore, Schippers et al. reported a central role of MAdCAM-1 in the formation of lymphoid tissue in the intestine, particularly during postnatal development, and in migration of immune cells to the lamina propria (5, 6). Interestingly, MAdCAM-1 was also found to be upregulated on inflamed venules in chronic inflammatory diseases, for example in the intestine in colitis and in choroid plexus epithelium during experimental autoimmune encephalomyelitis (EAE), an animal model of multiple sclerosis (MS) (7–9). Blockade of MAdCAM-1 by anti-MAdCAM-1-antibody showed very modest beneficial effects in different models of experimental colitis as well as in some phases of progressive, non-remitting EAE (10–13).
Various inflammatory diseases, including Crohn's disease and ulcerative colitis are organ-specific and restricted to the gut, and are likely caused by dysregulation of the intestinal immune system. However, there is evidence that gut immunity is also involved in the pathogenesis of extra-intestinal autoimmune disorders such as rheumatoid arthritis or MS [reviewed by Kamada et al. (14)]. Despite extensive research in this field, many questions regarding lymphocyte migration, especially in pathogenic conditions, and its molecular basis remain to be clarified.
Therefore, in the present study, we focus on the role of MAdCAM-1 in the development of T cell-mediated autoimmunity by inducing active MOG35−55 –EAE in MAdCAM-1-KO mice.
We show that MAdCAM-1-deficiency ameliorated the disease course in active EAE accompanied by significantly reduced lymphocyte recruitment to the intestinal lamina propria and infiltration of immune cells in the central nervous system (CNS). In summary, our data suggest a MAdCAM-1-associated modulation of CNS autoimmunity within the intestinal tract and add new insight into a functional role of the intestine in neuroinflammation.
Materials and Methods
MAdCAM-1-KO mice were a kind gift from Dr. Schippers, University hospital Aachen, Aachen, Germany. MAdCAM-1-KO mice and control littermates were backcrossed on the C57BL/6 background and were obtained from an in-house-breed at the local animal care facility at the University Hospital Aachen. Mice were housed at the Franz-Penzoldt-Zentrum, the local animal care facility of the University of Erlangen-Nürnberg under a 12-h day-night cycle and standardized environment or purchased from Charles River (Sulzfeld, Germany). All experiments were performed in accordance with the German laws of animal protection and were approved by local ethics committees (Government of Unterfranken, Bavaria, Germany, ref. # 55.2-2532-2-451). For additional experiments, mice were bred and maintained in a pathogen free mouse colony at the University of Texas Southwestern Medical Center (UTSW) in accordance to the guidelines set forth by the National Institute of Health and our institution. All experiments pertaining to these animals were approved by the UTSW Institutional Animal Care and Use Committee (IACUC).
Induction of Active EAE
Induction of EAE in MAdCAM-1-KO mice and littermate controls was performed as previously described (15, 16). Briefly, 11–16 week old mice were anesthetized and subcutaneously injected with 200 μg MOG35−55 and 200 μg CFA. Pertussis toxin (200 ng/mouse) was applied intraperitoneally (i.p.) on days 0 and 2 post immunization (p.i.). Daily clinical evaluation was performed via a 5-point scale. For disease course, only mice showing clinical symptoms were included. EAE experiments with male and female MAdCAM-1-KO mice showed no sex differences regarding disease incidence and severity (data not shown).
For anti-MAdCAM-1-antibody experiments performed at UT Southwestern, individual animals were observed daily based on the EAE clinical scoring system as follows: 0 = no clinical disease, 1 = loss of tail tone, 2 = mild paraparesis, 3 = paraplegia, 4 = hind limb and forelimb paralysis, 5 = moribund or death.
Mice were treated with 200 μg/100 μl of anti-MAdCAM-1 monoclonal antibody (Biolegend, clone MECA-367) intravenously (i.v.) on day 5 post immunization, and intraperitoneally on days 7, 10, 12, and 15 post immunization. Control mice received an equal volume of phosphate-buffered saline (PBS) via the same route at the same time points. This anti-MAdCAM-1 mAb blocks MAdCAM-1 in vitro and in vivo, and was shown by other investigators to ameliorate gastrointestinal inflammation in animal models (17).
Transfer of e450—Labeled Splenocytes
EAE was induced in 11–13 week old donor mice as described before. After 8 days, splenocytes were isolated and labeled with eFluorⓇ450 proliferation dye (10 μM, eBioscience) according to the manufacturer's instructions. 15 × 106 labeled cells were injected i.v. in MAdCAM-1-KO and littermate recipient mice. Recipients were immunized with MOG35−55 peptide and pertussis toxin 4 days prior to splenocyte injection. 4 days after cell transfer, different organs of these mice were analyzed for the presence of e450+ cells by flow cytometry.
Isolation of Splenocytes
Spleens of mice were removed 10 days p.i. and disrupted with a 5 ml glass homogenizer. The tissue was then filtered through a 100 μm cell strainer followed by erythrocyte lysis. Subsequently, cells were processed for flow cytometric analysis (see section Flow Cytometry).
Isolation of CNS Infiltrating Cells
Spinal cord was removed at the maximum of disease and disrupted with a 5 ml glass homogenizer. Isolated cells were purified by a three-step density gradient using 30%, 45% and 70% isotonic Percoll™ (GE Healthcare). After centrifugation without brake (20 min, 800 g, 18°C), CNS infiltrating lymphocytes were harvested from the interphases, washed with cold PBS and processed for ex vivo flow cytometry analysis (see section Flow Cytometry).
Isolation of Cells From the Small Intestine
At different time points of EAE, single cell suspensions from lamina propria and the intestinal epithelium were obtained using the Lamina Propria Dissociation Kit (Miltenyi, Bergisch Gladbach, Germany). To obtain single cell suspensions of intestinal epithelium, gut pieces were de-epithelialized in a predigestion solution containing EDTA and DTT. Cell suspensions from the lamina propria were obtained by enzymatic and mechanic dissociation of the intestinal pieces. Working steps were done according to the manufacturer's protocol. After isolation, cells were extra- and intracellularly stained for ex vivo flow cytometry analysis (see section Flow Cytometry).
Ex vivo-obtained CNS and splenic lymphocytes as well as cells isolated from the small intestine, blood, PP and other lymphatic organs were analyzed by staining for extra- and intracellular markers. Dead cells were excluded using the fixable viability dye eFluorⓇ780 (0.2 μl/test, eBioscience). Non-specific Fc-mediated interactions were blocked by addition of 0.5 μl αCD16/32 (93, eBioscience). For surface staining, cells were treated with the following fluorochrome-conjugated antibodies for 30 min in PBS: αB220-BV510 (RA3-6 B2, Biolegend), αB220-APC (RA3-6 B2, Biolegend), αB220-FITC (RA3-6 B2, Biolegend), αCD3-BV421 (17A2, BD Biosciences), αCD4-FITC (RM4-5, eBioscience), αCD4-APC (RM4-5, Biolegend), αCD8a-BV510 (53-6.7, Biolegend), αCD8a-PerCP (53-6.7, Biolegend), αCD11b-APC (M1/70, Biolegend), αCD11b-PE (M1/70, Biolegend), αCD11c-PE/Cy7 (N418, Biolegend), αCD25-PECy5 (PC61, Biolegend), αCD45-FITC (30-F11, Biolegend).
For intracellular cytokine staining, cells were stimulated for 4 h with ionomycin (1 μM, Sigma-Aldrich) and PMA (50 ng/ml, Sigma-Aldrich) in the presence of monensin (2 μM, eBioscience). After fixation with either 1% paraformaldehyde (PFA) and permeabilization with saponin buffer or with Foxp3/Transcription Factor Staining Buffer Set (eBioscience), intracellular cytokines were stained with the following fluorochrome-conjugated antibodies for 30–45 min: αFoxp3-PE (FJK-16s, eBioscience), αIFNγ-PE/Cy7 (XMG1.2, BD Pharmingen), and αIL-17A-PE (eBio17B7, eBioscience), and αTNFα-APC (MP6-XT22, Biolegend). Cells were measured with a flow cytometer (FACSCantoII or FACSFortessa, BD Biosciences) and FACS data were analyzed using FlowJo software (BD Biosciences). At UT Southwestern, flow cytometry was performed with a FACSAria II flow cytometer (BD Biosciences), equipped with Diva acquisition software (BD Biosciences). FlowJo (BD Biosciences) software was also utilized for some data analyses.
In vitro MOG Restimulation Assay
Splenocytes from EAE mice were isolated on day 10 p.i., seeded at a density of 3 × 106 cells/ml and stimulated with MOG35−55 (20 μg/ml) or Concanavalin A (Con A) (1.25 μg/ml). After 48 h, supernatants were harvested and analyzed for cytokines (see section Enzyme-Linked Immunosorbent Assay).
Culture of Intraepithelial Intestinal Immune Cells, Lamina Propria Cells, and Splenocytes
Intraepithelial intestinal immune cells, lamina propria cells and splenocytes isolated as described above were seeded at a density of 1 × 106 cells/ml and cultured for 2 days with plate-bound αCD3 (2 μg/ml, 145-2C11, BD Pharmingen) and soluble αCD28 (2 μg/ml, 37.51, BD Pharmingen). After supernatant collection, cytokines were measured by enzyme-linked immunosorbent assay (ELISA) (see section Enzyme-Linked Immunosorbent Assay).
Enzyme-Linked Immunosorbent Assay (ELISA)
Concentrations of IL-17A and IFN-γ in cell culture supernatants were measured by ELISA (DuoSet ELISA kits, R&D) according to the manufacturer's instructions.
Immunohistochemistry and Tissue Staining
Spinal cords and spleens of EAE mice were removed following perfusion with 4% (wt/vol) PFA and post-fixed for 2–3 h. After embedding in paraffin, 4 μm thin sections were prepared by using a microtome. For immunohistochemistry, αCD3 (1:200, MCA1477, Bio-Rad) and αMac-3 (1:200, M3/84, BD Pharmingen) antibodies were used to detect immune cells. Luxol Fast Blue staining was performed for evaluation of demyelination and Bielschowksy silver impregnation for axonal integrity/damage. Quantification of axonal preservation, cellular infiltrates, and degree of demyelination was performed in a blinded fashion on 9 independent spinal cord sections per mouse. Cellular infiltrates were quantified per square millimeter of white matter by overlaying a stereological grid onto sections and demyelinated areas were determined semi-automatically by CellP Software (Olympus). Six visual fields of the cervical, thoracic, and lumbar spinal cord were used for quantification of axonal preservation counted on a 100 μm diameter grid.
MAdCAM-1 gene expression was analyzed by real-time PCR. Total RNA was isolated using the PEQgold HP total RNA kit (peqlab). RNA yield was quantified by absorbance measurements at 260 nm. Total RNA (500–1,000 ng per reaction) was used to reversely transcribe RNA into cDNA employing the QuantiTect Reverse Transcription Kit (Qiagen). PCR reactions were performed at a 5 μl scale with a qTower real-time PCR System (Analytik Jena). Relative quantification was performed by the ΔΔCT method, normalizing target gene expression on actb/β-Actin as housekeeping gene. The following TaqMan real-time PCR assays from Thermo Fisher Scientific were used: actb (β-Actin) Mm00607939_s1 and Madcam1 Mm00522088_m1.
For microbiota analysis, bacterial loads were quantified by qPCR analysis (SsoAdvanced SYBR Green Supermix, Bio-Rad) of microbial gDNA using universal 16S rRNA gene internal transcribed spacer (ITS1-2) primers. The abundance of specific bacterial groups was determined by qPCR using group-specific 16S rRNA gene primers. Bacterial abundance was determined using standard curves constructed with reference to cloned DNA corresponding to a short segment of the 16s rRNA that was amplified using the following conserved specific primers: Eubacteria (all bacteria) ACTCCTACGGGAGGCAGCAGT (forward primer)–TACCGCGGCTGCTGGC (reverse primer); Bacteroides GGTTCTGAGAGGAGGTCCC (forward primer)–GCTGCCTCCCGTAGGAGT (reverse primer); Mouse Intestinal Bacteroides (MIB) CCAGCAGCCGCGGTAATA (forward primer)–CGCATTCCGCATACTTCTC (reverse primer); Lactobacillus/Enterococcus Group (LACT) AGCAGTAGGGAATCTTCCA (forward primer)–CACCGCTACACATGGAG (reverse primer); Eubacterium rectale/Clostridium coccoides group (EREC) ACTCCTACGGGAGGCAGC (forward primer)–GCTTCTTAGTCAGGTACCGTCAT (reverse primer); Clostridium leptum group (CLEPT) GCACAAGCAGTGGAGT (forward primer)–CTTCCTCCGTTTTGTCAA (reverse primer); Enterobacteriaceae (ENTERO) GTGCCAGCMGCCGCGGTAA (forward primer)–GCCTCAAGGGCACAACCTCCAAG (reverse primer); Segmented filamentous bacteria (SFB) GACGCTGAGGCATGAGAGCAT (forward primer)–GACGGCACGGATTGTTATTCA(reverse primer).
Statistical testing was performed using GraphPad Prism (GraphPad Software Inc., San Diego, CA, USA). All in vitro and ex vivo data were analyzed by one-/two-way ANOVA followed by Tukey's posttest or unpaired t-test (unless otherwise indicated). EAE data were analyzed either by Mann–Whitney U-test, unpaired t-test (for testing of single time points) or logrank test (for disease incidence analysis). Data are presented as mean ± SEM; *p < 0.05, **p < 0.01, or ***p < 0.001 were considered to be statistically significant.
MAdCAM-1 Is Abundantly Expressed in the Intestinal Tract and Spleen of Wild Type Mice and Is Differentially Regulated in CNS During Active EAE
Gene expression analysis revealed that MAdCAM-1 is abundantly expressed in the small intestine, but also in spleen and CNS of C57BL/6 wild type (wt) mice at the maximum of EAE (Figure 1A). In accordance with previous studies showing upregulation of MAdCAM-1 in inflammatory diseases, we observed an increased MAdCAM-1 mRNA expression in the spinal cord and brain during active EAE induced by immunization with MOG35−55 peptide with a peak at maximum disease activity (data not shown).
Figure 1. MAdCAM-1-deficiency reduces incidence of active EAE in C57BL/6 mice and ameliorates clinical symptoms. (A) MAdCAM-1 gene expression relative to naive small intestine in spleen, spinal cord and brain at the maximum of EAE in C57BL/6 mice (n = 8–13 mice per tissue, ***p < 0.001). (B) Clinical course of MOG35−55-EAE in mice treated with anti-MAdCAM-1-antibody or PBS (ctrl) based on a 5-point score scale (one representative out of two experiments is shown, controls: n = 3, treated mice: n = 4, only mice exhibiting EAE symptoms are shown, arrows indicate days of treatment). (C) Ex vivo flow cytometry analysis of leukocytes in the spinal cord after treatment with anti-MAdCAM-1-antibody or PBS (ctrl) on day 16 of EAE (n = 4 per group, average scores at the day of euthanasia: ctrl: 2.0, anti-MAdCAM-1: 2.0). (D) Clinical course of MOG35−55-EAE in wildtype (wt) and MAdCAM-KO mice. Data are shown on a 5-point score scale (wt: n = 8, MAdCAM-KO: n = 3, only mice exhibiting EAE symptoms are shown, data pooled from two independent experiments, **p < 0.05). (E) Analysis of EAE incidence in wt and MAdCAM-KO mice (n = 9 per group, data pooled from two independent experiments, **p < 0.01).
Blockade of MAdCAM-1 Does Not Significantly Impact on the Disease Course in Active EAE
To closer study the role of MAdCAM-1 in neuroinflammation, we investigated the effect of the absence of this molecule in active EAE. In a first approach, we used a monoclonal anti-MAdCAM-1-antibody to specifically block the interaction of MAdCAM-1 with α4β7-integrins on lymphocytes. C57BL/6 wt mice were treated with anti-MAdCAM-1-antibody starting 5 days after immunization with MOG35−55 peptide. As compared to sham-treated controls, mice treated with anti-MAdCAM-1-antibody demonstrated no significant difference at any phase of the disease (Figure 1B). Finally, there was no difference in the frequency of CD3+, CD4+, and CD8+ T cells or CD19+ B cells in the brain (data not shown) and spinal cords of mice treated with anti-MAdCAM-1-antibody as compared to controls (Figure 1C).
MAdCAM-1-Deficiency Significantly Ameliorates Active EAE
Molecule-specific antagonism by therapeutic monoclonal antibodies has limitations due to inadequate pharmacokinetics and limited tissue distribution. Therefore, we extended our initial findings beyond the pharmacological approach by examining the effect of genetic MAdCAM-1-deficiency in neuroinflammation. Active EAE was induced in MAdCAM-1-KO mice and wt littermates with physiological MAdCAM-1 expression. In contrast to anti-MAdCAM-1 therapy, MAdCAM-1-deficiency substantially ameliorated the clinical disease course and significantly lowered disease incidence compared to the control group. After an observation period of 17 days, 89% of littermate controls developed EAE, while only 33% of MAdCAM-1-KO mice showed signs of disease (Figures 1D,E). The mortality rate did not differ between both groups.
MAdCAM-1-Deficiency Impedes Immune Cell Infiltration in the Spinal Cord After Active EAE Induction
To further examine the effect of MAdCAM-1 on cellular events that drive CNS autoimmunity, we analyzed CNS infiltrating immune cells at the maximum of active EAE by ex vivo flow cytometry. The actively-induced MOG35−55-EAE model localizes primarily to the distal spinal cord and is initiated by antigen-specific CD4+ T helper (Th) cells, and perpetuated by CD4+ T cells, CD8+ T cells, and pro-inflammatory myeloid cells. The infiltration of CD4+ and CD8+ T cells in the spinal cord of MAdCAM-1-KO mice was reduced compared to littermate controls (Figure 2A). Within the T cell compartment, the number of Th1 and Th17 cells as well as regulatory T cells (Treg) was significantly decreased (Figure 2B). Also, the number of CD11b+ tissue macrophages and CD11c+ dendritic cells in the spinal cord was diminished during EAE (Figure 2C). Immunohistological analysis confirmed these findings showing reduced numbers of CD3+ T cells and Mac-3+ mononuclear phagocytes in the spinal cord at the maximum of disease (Figures 2D,E). Additionally, the extent of demyelination, as assessed by Luxol fast blue staining, was significantly lower and axonal densities, determined by Bielschowsky silver impregnation, were higher in MAdCAM-1-KO mice (Figures 2F,G).
Figure 2. MAdCAM-1-deficiency hampers immune cell infiltration in the spinal cord after active EAE induction. (A–C) Ex vivo flow cytometry analysis of infiltrating immune cells in the spinal cord of wt and MAdCAM-KO mice at the maximum of disease (n = 9 mice per group, average score at the day of euthanasia: wt: 2.6, MAdCAM-KO: 1.1; *p < 0.05 **p < 0.01). (D–G) Histological analyses of T cell (D) and macrophage (E) infiltration, demyelination (F) in the spinal cord of wt and MAdCAM-KO mice, and axonal densities (G) in the spinal cord of naïve wt, wt, and MAdCAM-KO mice (n = 4 mice per group, **p < 0.01, ***p < 0.001). Perfusion and spinal cord removal for histology was done on day 23 p.i. of MOG35−55-EAE. Representative images from lumbar spinal cord cross sections are shown (arrows indicate CD3+ cells, Mac-3+ cells or demyelinated area, scale bar 100 μm for each image).
MAdCAM-1-Deficiency Does Not Affect Immune Cell Frequencies in the Spleen
The effect of MAdCAM-1-deficiency on cellular infiltration of the spinal cord during active EAE prompted us to study its effect on secondary lymphoid organs relevant for EAE pathogenesis. Specifically, we performed ex vivo immunophenotyping of splenocytes 10 days after EAE induction. The number of CD4+ T cells in the spleen of MAdCAM-1-KO mice was significantly higher and numbers of Th1, Th17 and Treg cells was slightly increased compared to controls, whereas the numbers of CD11b+ tissue macrophages, CD11c+ dendritic cells, and B220+ cells were not altered (Figures 3A–C). Similar results were obtained for splenocytes harvested at the maximum of disease (data not shown). Restimulation assays with isolated splenocytes on day 10 p.i. revealed no differences in the production of IFN-γ and IL-17A between MAdCAM-1-KO and control mice (Figures 3D,E), essentially ruling out a systemic defect in T helper cell responses.
Figure 3. MAdCAM-1-deficiency does not diminish immune cell numbers in the spleen. (A–C) Ex vivo flow cytometry analysis of immune cell numbers in the spleen of wt and MAdCAM-KO mice on day 10 of MOG35−55-EAE (n = 10 mice per group, ***p < 0.001). (D,E) Cytokine measurement in cultures after ex vivo restimulation with MOG35−55 or ConA (splenocytes harvested on day 10 p.i. of MOG35−55-EAE, n = 10 per group). MOG, myelin oligodendrocyte glycoprotein; ConA, Concanavalin A.
MAdCAM-1-KO Mice Display Reduced Numbers of Immune Cells in the Lamina Propria and Peyer's Patches After EAE Induction
As MAdCAM-1 is predominantly expressed in the small intestine and plays an essential role in immune cell infiltration in the gut, we studied the impact of MAdCAM-1-deficiency on immune cell frequencies in the small intestine during active EAE. Ex vivo flow cytometry analysis of the small intestine 3 days after EAE induction showed a significantly decreased absolute number of immune cells in the lamina propria of MAdCAM-1-KO mice. Besides a strong reduction in Th1, Th17 and Treg cells, CD11b+, CD11c+ and B220+ cells were also diminished in MAdCAM-1-KO mice compared to littermate controls (Figures 4A–C). However, there were no differences in immune cell numbers in the intestinal epithelium. Consistent with the findings from Schippers et al. (5), the number of PP in the small intestine was significantly reduced in MAdCAM-1-KO mice (2.7 vs. 6.2 in control mice, p < 0.0001, n = 12 mice per group, data not shown). Moreover, the number of CD3+, CD4+, and CD8+ T cells as well as CD11b+, CD11c+, and B220+ antigen-presenting cells were reduced in PP (Figures 4D,E). Additionally, we measured cytokine secretion after ex vivo stimulation in culture supernatants of immune cells isolated from the intestinal epithelium, the lamina propria or the spleen 3 days p.i. (Figures 4F–H). Production of IL-17A and IFN-γ by lamina propria immune cells from MAdCAM-1-KO mice was markedly reduced, whereas in supernatants of intraepithelial immune cell cultures only IL-17A production was decreased compared to controls (Figures 4F,G). In accordance with restimulation assay data obtained from splenocytes analyzed 10 days after EAE induction, there was no difference in cytokine secretion in splenocyte culture supernatants (Figure 4H).
Figure 4. MAdCAM-KO mice display reduced numbers of immune cells in the lamina propria and Peyer's patches after EAE induction. (A–E) Flow cytometry analysis of cells isolated from the lamina propria (A–C) or PP (D,E) of wt and MAdCAM-KO mice on day 3 after EAE induction (n = 8 mice per group, *p < 0.05, **p < 0.01, ***p < 0.001). (F–H) Cytokine measurement in cultures of IE cells (F), LP cells (G) or splenocytes (H) after ex vivo stimulation with αCD3 and αCD28 for 48 h (cells harvested on day 3 p.i. of MOG35−55-EAE, n = 4 per group, one representative out of two independent experiments is shown, *p < 0.05, **p < 0.01). IE, intestinal epithelium; LP, lamina propria; PP, Peyer's patches.
The Composition of Specific Bacterial Groups Within the Microbiome of MAdCAM-1-KO Mice Is Within Normal Limits
One possible explanation for observed immunological alterations in the gut may be a change in the composition of the microbiome. We thus performed microbiome analysis for common strains known to play a role in neuroinflammation, e.g., Bacteroides, Lactobacillus, Enterobacteriaceae and Segmented Filamentous Bacteria. No major differences in gene expression were observed between MAdCAM-1-KO and littermate controls (Figures 5A–H), suggesting that immunological effects of MAdCAM-1 in the gut are not governed by major changes in the microbiota.
Figure 5. MAdCAM-1-deficiency does not alter microbiome composition in naive mice. (A–H) Quantification of bacterial load by qPCR-analysis for different microbe strains associated with neuroinflammatory processes (n = 4 per group, displayed in copies/g feces). (I) Number of e450+ cells in IE and PP 4 days after injection of e450-labeled splenocytes in recipient mice on day 4 of EAE (splenocytes isolated from donors 7 days after EAE induction, n = 8–10 mice per group, *p < 0.05, **p < 0.01). SFB, segmented filamentous bacteria; IE, intestinal epithelium; PP, Peyer's patches.
MAdCAM-1-Deficiency Reduces Access of Myelin-Activated Lymphocytes to the Intestinal Tract
To determine the potential role of MAdCAM-1 in the trafficking of myelin-activated lymphocytes during actively-induced EAE, we adoptively transferred e450-labeled splenocytes from donors immunized with MOG35−55 peptide. MAdCAM-1-KO and littermate recipients were immunized 4 days prior to injection of cells. Eight days after EAE induction, the numbers of e450+ cells in spleen, blood, inguinal and axillary as well as mesenteric lymph nodes determined by flow cytometry did not significantly differ between MAdCAM-1-KO mice and littermate controls (data not shown). However, significantly fewer e450+ cells were detected in the intraepithelial compartment and the PP of MAdCAM-1-KO mice compared to littermate controls (Figure 5I). This observation underlines the role of MAdCAM-1 in the access of myelin-activated lymphocytes to the intestinal tract.
Our data indicate that MAdCAM-1 is critically involved in the regulation of lymphocyte migration into the intestine and gut-associated lymphoid tissue during CNS autoimmunity. MAdCAM-1-deficiency significantly ameliorated EAE disease course and lowered disease incidence after active immunization with MOG35−55 peptide. This was accompanied by a considerable decrease in immune cell infiltration into the small intestine as well as into the spinal cord, but no significant quantitative or qualitative effects in the spleen. We thus propose a role for MAdCAM-1 in the acquisition of encephalitogenicity by T helper cell subsets in the intestinal tract after active induction of EAE.
In general, the complex process of lymphocyte migration is controlled by lymphocyte-endothelial cell recognition and requires the interaction of homing receptors expressed on lymphocytes with endothelial adhesion molecules. The differential expression of these cell surface molecules in different tissues facilitates an organ-specific regulation of lymphocyte trafficking. For example, lymphocyte homing to the gut is specifically regulated by binding of cellular integrin α4β7 to MAdCAM-1 (2).
MAdCAM-1 is known to be constitutively expressed on high endothelial venules of the gut and gut-associated lymphoid tissue (3). In kinetic gene expression analysis, we showed that MAdCAM-1 is expressed in the CNS of mice immunized with MOG35−55 peptide. This finding is well in line with previous studies showing increased expression of adhesion molecules in an inflammatory environment. For example, expression of MAdCAM-1 is upregulated in different animal models of colitis (8, 18, 19) as well as in EAE (9, 20). However, its role in lymphocyte migration into the CNS remains ambiguous and the discussion about the presence of MAdCAM-1 in the human brain is still ongoing (21–24). Only recently Döring et al. showed that TET-inducible MAdCAM-1 expression at the blood-brain barrier (BBB) neither influenced the clinical course nor the infiltration of immune cells into the CNS during active EAE (25). This supports the common notion that the recruitment of pathogenic T cells across the BBB is rather mediated by the interaction of α4β1-integrin with vascular adhesion molecule-1 (VCAM-1) and intercellular adhesion molecule-1 (ICAM-1), which are adhesion molecules with structural homology to MAdCAM-1 (26–29).
Much more is known about the specific role of MAdCAM-1 in the intestine. Here, it constitutes the main adhesion molecule involved in the specific recruitment of leukocytes to the gut. This knowledge is mainly derived from animal experiments using antibodies directed against MAdCAM-1 or its associated homing receptor α4β7 in naïve mice or in colitis models (2, 12, 13). Blockade of MAdCAM-1 in disease models, and therefore inhibition of immune cell infiltration to inflammatory sites, resulted in attenuated colitis. Furthermore, mice lacking MAdCAM-1 display alterations in size and cell composition of PP, reduction in the number of IgA-secreting plasma cells and an impaired intestinal IgA response (5).
Currently, the intestinal immune system, which comprises about 70% of the entire human immune system, is subject of intense research (30). Obvious correlations between intestinal autoimmune diseases such as Crohn's disease or ulcerative colitis and non-intestinal autoimmune disorders like MS have prompted researchers to closer investigate the involvement of intestinal inflammation in the development of autoimmunity (31, 32). Considering these points and the fact, that MAdCAM-1 plays a central role in the development of the intestinal immune system, we investigated the effect of MAdCAM-1 blockade and deficiency on intestinal immune cell composition in the EAE model. Treatment with an anti-MAdCAM-1-antibody did not show any significant effect during acute EAE. These data are consistent with previous experiments showing no substantial effects of anti-MAdCAM-1-antibody treatment in a model of chronic progressive, non-remitting EAE in the later disease stage (10). In contrast, active induction of MOG35−55–EAE in MAdCAM-1-KO mice resulted in an attenuated disease course and a significantly lower disease incidence compared to controls. The differences in the EAE course and disease incidence between these two models of MAdCAM-1-deficiency may be due to limitations of the therapeutic approach regarding inadequate pharmacokinetics and tissue distribution or due to the experimental setting as antibody-treatment was started 5 days after EAE induction. Considering that the intestinal tract may be an important player in the development of EAE, this timepoint is likely too late and therefore observed effects are only marginal.
Reflecting the clinical phenotype in MAdCAM-1-KO mice, immune cell infiltration into the spinal cord was reduced at the peak of EAE. However, we observed no alterations in peripheral immune responses as immune cell frequencies in the spleen were similar between MAdCAM-1-KO and littermate controls. Additionally, in vitro assays with re-stimulated splenocytes displayed no functional differences with respect to cytokine production. Consistent with the already known function of MAdCAM-1 in immune cell trafficking to the intestine, MAdCAM-1-deficiency significantly reduced the number of immune cells in the lamina propria and PP during EAE. These results imply that MAdCAM-1-deficiency does not impair systemic immunological processes and therefore, the differences in disease course observed in the absence of MAdCAM-1 might be based on the lack of T cell migration into the intestine. Migration experiments revealed reduced numbers of labeled splenocytes in the intraepithelial compartment and PP of MAdCAM-1-KO mice underlining the importance of MAdCAM-1 in cell migration to intestinal sites under (neuro-)inflammatory conditions.
In order to gain encephalitogenic properties and being able to enter the CNS, T cells have to go through multiple steps of activation by migrating to different organs. Flügel et al. showed that in a rat EAE model myelin basic protein-specific CD4+ T cells first migrate from parathymic lymph nodes to the blood and the spleen (33). Moreover, they determined the lung as specific tissue involved in autoimmune T cell reactivation in the preclinical phase of EAE (34). More recent studies also identified the intestine as an important site for immune cell priming, allocating the gut a critical role in development of EAE. For example it was shown, that encountering of immune cells with nutritional metabolites or microbiota regulates shaping of anti-inflammatory Tregs, but also pro-inflammatory Th17 cells (15, 35, 36). With respect to the suggested association between microbiota and the immunological processes in EAE, we also compared microbe composition between MAdCAM-1-KO and littermate control mice. qPCR analysis did not reveal apparent changes in the composition of the microbiome, perhaps arguing against a functional role of the microbiome in the relative disease resistance of actively-induced EAE in these mice. However, the qPCR that was employed has limitations in that it only amplifies gene copies of common bacterial species or families of species. Shotgun sequencing would be required to provide a comprehensive comparative microbiome analysis between MAdCAM-1-KO mice and controls.
Our data reinforce the concept that the intestine is critically involved in the development of autoimmune reactions and is an important site for immune cell priming during EAE. We suggest that inhibition of immune cell trafficking into the intestine by MAdCAM-1 knock out prevents priming and activation of T cells which is crucial for the initiation of autoimmune responses in the CNS in this model of neuroinflammation.
This study was carried out in accordance with the recommendations of the German laws of animal protection, Government of Unterfranken, Bavaria, Germany and in accordance with the recommendations by the National Institute of Health, UTSW Institutional Animal Care and Use Committee (IAUAC).
KK, AnH, ET, SH, AlH, RH, WM-L, and JS planned and performed the experiments, RL, OS, and BS designed the study and planned and supervised the research project. AK performed microbiome analysis. KK and AnH wrote the manuscript. AS and NW provided genetically engineered MAdCAM-KO mice. RL and OS supervised the research and edited the manuscript. All authors read and approved the final manuscript.
OS was supported by a visting professorship from the IZKF Erlangen, Germany and parts of the study were funded by Roberta I. and Norman L. Pollock Fund (AK).
Conflict of Interest Statement
OS serves on the editorial boards of the Multiple Sclerosis Journal, and Therapeutic Advances in Neurological Disorders and has served on data monitoring committees for Pfizer and TG Therapeutics without monetary compensation. OS has advised EMD Serono and Genzyme and currently receives grant support from Sanofi Genzyme. OS received travel support from Shire. RL received compensation for activities with Bayer, Biogen, Genzyme, Merck, Novartis, Roche, and TEVA as well as research support from Biogen and Novartis.
The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
We are grateful to Silvia Seubert for expert technical assistance. KK and AlH are graduate students of the research training group 2162 Neurodevelopment and Vulnerability of the Central Nervous System of the Deutsche Forschungsgemeinschaft (DFG GRK2162). RL is a member of the research training group 2162 of the Deutsche Forschungsgemeinschaft (DFG GRK2162). AS and NW were funded by the Deutsche Forschungsgemeinschaft (SCHI 1170/2-1 and WA 1127/4-1). This work was supported by the Interdisciplinary Center for Clinical Research (IZKF Erlangen, TP E24). KK was a graduate student of the IZKF Erlangen.
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Keywords: MAdCAM-1, lymphocyte homing, intestine, EAE/MS, neuroinflammation
Citation: Kuhbandner K, Hammer A, Haase S, Terbrack E, Hoffmann A, Schippers A, Wagner N, Hussain RZ, Miller-Little WA, Koh AY, Stoolman JS, Segal BM, Linker RA and Stüve O (2019) MAdCAM-1-Mediated Intestinal Lymphocyte Homing Is Critical for the Development of Active Experimental Autoimmune Encephalomyelitis. Front. Immunol. 10:903. doi: 10.3389/fimmu.2019.00903
Received: 01 October 2018; Accepted: 08 April 2019;
Published: 26 April 2019.
Edited by:Scott S. Zamvil, University of California, San Francisco, United States
Reviewed by:Lawrence Steinman, Stanford University, United States
Martin S. Weber, University Medical Center Göttingen, Germany
Copyright © 2019 Kuhbandner, Hammer, Haase, Terbrack, Hoffmann, Schippers, Wagner, Hussain, Miller-Little, Koh, Stoolman, Segal, Linker and Stüve. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Olaf Stüve, firstname.lastname@example.org
†These authors have contributed equally to this work