Abstract
Background
Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system (CNS) for which several new treatment options were recently introduced. Among them is the monoclonal anti-CD52 antibody alemtuzumab that depletes mainly B cells and T cells in the immune periphery. Considering the ongoing controversy about the involvement of B cells and in particular the formation of B cell aggregates in the brains of progressive MS patients, an in-depth understanding of the effects of anti-CD52 antibody treatment on the B cell compartment in the CNS itself is desirable.
Methods
We used myelin basic protein (MBP)-proteolipid protein (PLP)-induced experimental autoimmune encephalomyelitis (EAE) in C57BL/6 (B6) mice as B cell-dependent model of MS. Mice were treated intraperitoneally either at the peak of EAE or at 60 days after onset with 200 μg murine anti-CD52 vs. IgG2a isotype control antibody for five consecutive days. Disease was subsequently monitored for 10 days. The antigen-specific B cell/antibody response was measured by ELISPOT and ELISA. Effects on CNS infiltration and B cell aggregation were determined by immunohistochemistry. Neurodegeneration was evaluated by Luxol Fast Blue, SMI-32, and Olig2/APC staining as well as by electron microscopy and phosphorylated heavy neurofilament serum ELISA.
Results
Treatment with anti-CD52 antibody attenuated EAE only when administered at the peak of disease. While there was no effect on the production of MP4-specific IgG, the treatment almost completely depleted CNS infiltrates and B cell aggregates even when given as late as 60 days after onset. On the ultrastructural level, we observed significantly less axonal damage in the spinal cord and cerebellum in chronic EAE after anti-CD52 treatment.
Conclusion
Anti-CD52 treatment abrogated B cell infiltration and disrupted existing B cell aggregates in the CNS.
Electronic supplementary material
The online version of this article (10.1186/s12974-018-1263-9) contains supplementary material, which is available to authorized users.
Keywords: Alemtuzumab, B cells, CD52, CNS, EAE, MS
Background
Multiple sclerosis (MS) is one of the most prevalent autoimmune disorders of the central nervous system (CNS) [1]. The disease is characterized by inflammation, demyelination, and axonal degeneration [2], eventually leading to severe and irreversible neurological deficits. The typical age of MS onset is between 20 and 40 years with a ratio of 2:1 female to male patients and a higher prevalence in the northern hemisphere. While the etiology of MS is not fully understood, a combination of genetic, environmental, and infectiological factors is assumed to be responsible for disease initiation and progression [1].
Traditionally, the autoimmune pathology of MS has been considered to be mainly T cell-driven [3], while more recent clinical observations as well as experimental data suggest a close interaction of T cells and B cells. Along these lines, depositions of immunoglobulins and of complement components have been found in active demyelinating brain lesions of MS patients [4], and oligoclonal bands (OCB) in the cerebrospinal fluid (CSF) of the majority of patients demonstrate local antibody production. Apart from antibody production, B cells function as highly potent antigen-presenting cells [5] particularly in the brain and are furthermore able to regulate ongoing inflammatory processes, e.g., by secreting pro- and/or anti-inflammatory cytokines. In addition, the overall clinical efficacy of B cell-depleting anti-CD20 antibody treatment and the therapeutic success of plasma exchange in a subset of MS patients with severe corticosteroid-resistant relapses further underlines the involvement of B cells in the immunopathology of MS [6, 7].
Alemtuzumab (Campath-1H) is a humanized anti-CD52 antibody [8], which was first approved for the treatment of patients with chronic lymphocytic leukemia. Alemtuzumab was later shown to be highly effective in patients with relapsing-remitting MS (RR-MS), lowering both the annual relapse rate and the sustained accumulation of disabilities in multiple clinical studies [9]. Improvement of pre-existing disabilities has also been reported. Cells of the acquired immune system, such as T cells and B cells, show high expression of CD52 molecules [10], hence being reduced drastically in numbers in the course of treatment, while cells of the innate system, such as natural killer cells and monocytes, are depleted to a lower extent due to lower CD52 expression. Plasma cells and hematopoietic stem cells lack CD52 and therefore remain unaffected. The absence of CD52 on hematological precursor cells enables maturation and repopulation after treatment, which appears to have a long-lasting tolerance-inducing effect in patients with MS, with more than 50% not requiring disease-modifying therapy 3 years after treatment [11]. This may be due to the slow repopulation of T cells with a relative expansion of CD4+CD25+CD127low regulatory T cells [12–14] as well as a rapid repopulation of mostly immature B cells transiently exceeding baseline levels [15, 16]. While there is no doubt about the value of alemtuzumab for the treatment of RR-MS, further studies are needed to determine if it is equally effective in the case of progressive MS and also to determine whether there are patient subgroups for which individualized treatment would be appropriate.
To further study the immunological mechanisms of action of alemtuzumab, a human CD52 transgenic mouse strain was established [17]. In this mouse strain, both the distribution of CD52 molecules on leukocytes and the depletory capacity of alemtuzumab are comparable to that in humans [18]. However, for the ease of experimentation, a murine anti-CD52 antibody was subsequently established and used in experimental autoimmune encephalomyelitis (EAE) [19], which is the most common animal model of MS. Studies of anti-CD52 treatment in EAE have so far involved the myelin oligodendrocyte glycoprotein (MOG) peptide 35-55 [19–21] and the rMOG:1-121 model in C57BL/6 (B6) mice, as well as the relapsing-remitting proteolipid protein (PLP) peptide 13-151 model in SJL mice [19]. In all of these models, mice were treated on five consecutive days in an early disease stage, which resulted in the depletion of T cells and B cells comparable to MS patients treated with alemtuzumab. Anti-CD52-mediated lymphocyte depletion significantly attenuated clinical EAE, altered peripheral cytokine production, and reduced CNS inflammation, demyelination, and axonal damage. In addition, elevated levels of CD39+ regulatory T cells were observed in the gut-associated lymphatic tissue [20]. Since none of the aforementioned studies has used a B cell- and antibody-dependent model, the impact of anti-CD52 treatment on the peripheral vs. central B cell compartment in EAE still remains to be investigated. In addition, the antibody was previously given already with the onset of EAE when scores had not yet reached their maximal severity. Thus, it is unclear whether anti-CD52 antibody treatment is equally effective in more severe forms of EAE and in the chronic stage of the disease. To address these questions, we have employed the MP4-induced EAE model, in which mice are immunized with a fusion protein of myelin basic protein (MBP) and proteolipid protein (PLP) [22–24], and in which both pathogenic B cells and antibodies are induced. Our data demonstrate differential clinical effects of anti-CD52 treatment in acute and chronic EAE. In addition, this study is the first to show that treatment was highly effective in targeting both peripheral and central B cells, including those B cells that had already formed aggregates in the CNS. The disruption of these B cell aggregates was accompanied by a significant decrease in axonal pathology, even in late stages of the disease.
Methods
Mice
Six-week-old female B6 were purchased from Envigo (The Netherlands) and maintained under specific pathogen-free conditions at the animal facility of the Zentrum für Mund- und Kiefergesundheit at the University of Würzburg. The mice had free access to a standard rodent diet (Altromin Spezialfutter GmbH & Co. KG, Lage, Germany) and autoclaved water. Food was softened and kept at ground level for mice that displayed paralytic symptoms to ensure a sufficient diet. All animal experiments were performed according to protocols that were approved by the Regierung von Unterfranken (approval number 91/14) and complied with the German Law on the Protection of Animals and the “Principles of laboratory animal care” (NIH publication no. 86–23, revised 1985).
EAE induction and clinical score
For EAE induction, incomplete Freund’s adjuvants was prepared by mixing paraffin oil (EM Science, Gibbstown, NJ, USA) and mannid monooleate (Sigma-Aldrich, St. Louis, USA) at a 9:1 ratio. To obtain complete Freund’s adjuvants (CFA), 5 mg/ml Mycobacterium tuberculosis H37 Ra (Difco Laboratories, Franklin Lakes, NJ, USA) was added. Each mouse was immunized subcutaneously into both sides of the flank with a total dose of 200 μg MP4 (Alexion Pharmaceuticals, Cheshire, CT, USA), emulsified in a total volume of 200 μl CFA. In addition, mice received 200 ng pertussis toxin (List Biological Laboratories, Hornby, ONT, Canada) by intraperitoneal injection at the day of immunization and 48 h later. Mice were evaluated daily to record onset and progression of clinical symptoms based on the standard EAE scoring system: (0) no disease, (1) floppy tail, (2) hind limb weakness, (3) full hind limb paralysis, (4) quadriplegia, and (5) death. Increments of 0.5 were used to account for clinical deficits in between the defined hallmarks.
Treatment
Mice were treated either with a 200 μg (10 mg/kg body weight) anti-mCD52 antibody, obtained from Sanofi Genzyme (Cambridge, MA, USA), or with a murine IgG2a isotype control antibody (InVivo, Henningdorf, Germany) for five consecutive days. Treatment was given by intraperitoneal injection, and mice were subsequently monitored daily for at least 10 days to determine the treatment effect. Mice were treated either at the peak of EAE (“acute EAE”) or at ~ 60 days after EAE onset (“chronic EAE”). For randomization purposes, each mouse in each cohort was assigned to one of the two treatment groups in an alternating fashion once the mouse had developed EAE. Yet, the extent of CNS inflammation was almost exclusively dependent on the EAE score, rather than on the disease duration after onset. Hence, slight variations of the initial randomization strategy occurred since the two groups were score-matched at the beginning of the treatment (Table 1).
Table 1.
EAE onset (days after immunization) | Score at treatment onset | Disease duration before treatment | Final score | Score difference | |
---|---|---|---|---|---|
Treatment at the peak of EAE | |||||
Isotype | |||||
n = 5 | 15.40 ± 1.40 | 2.75 ± 0.08 | 5.20 ± 1.83 | 2.15 ± 0.22 | 0.60 ± 0.15 |
Anti-mCD52 | |||||
n = 4 | 20.25 ± 1.11 | 2.94 ± 0.36 | 2.75 ± 1.11 | 1.50 ± 0.54 | 1.44 ± 0.21 |
p value | 0.02 | 0.83 | 0.37 | 0.32 | 0.02 |
Treatment after ~ 60 days of EAE | |||||
Isotype | |||||
n = 14 | 16.29 ± 0.85 | 2.61 ± 0.09 | 61.57 ± 1.27 | 2.43 ± 0.15 | 0.18 ± 0.10 |
Anti-mCD52 | |||||
n = 18 | 15.28 ± 0.85 | 2.57 ± 0.11 | 61.72 ± 1.20 | 2.47 ± 0.13 | 0.10 ± 0.07 |
p value | 0.29 | 0.59 | 0.95 | 0.85 | 0.47 |
All data are shown as mean values ± SEM. Mann-Whitney test was used to determine statistical significance
Tissue sampling and preparation
Blood samples for flow cytometry were taken from the tail vein 1 day before sacrifice. Mice were sacrificed with CO2 before a non-perfused draining inguinal lymph node was collected for ELISPOT and blood was drawn from the inferior vena cava for ELISA analysis. Mice were then perfused with 4% paraformaldehyde (PFA) (Roth, Karlsruhe, Germany) in 0.01 M phosphate-buffered saline (PBS) (pH 7.4) for immunohistochemistry (IHC) or with 4% PFA/4% glutaraldehyde (GA) (Roth, Karlsruhe, Germany) in 0.01 M PBS (pH 7.4) for electron microscopy. The cerebellum, lumbar spinal cord, and the other draining inguinal lymph nodes were carefully dissected and post-fixed overnight at 4 °C under slight agitation. While samples for IHC were embedded in paraffin, samples for electron microscopy were embedded in Epon.
Flow cytometry
Blood was collected from the tail vein into heparinized tubes (Liquemin N25000, Roche, Basel, Switzerland). The blood was diluted 1:9 with PBS (total volume 1 ml), and red blood cells were lysed using an ammonium chloride-based lysis buffer. All samples were washed in PBS, transferred to cell culture plates (Greiner bio-one, Kremsmünster, Austria), and stained for 30 min with Fixable Viability Stain 450 (BD Biosciences, San Jose, CA, USA). Staining of T and B cells was performed with rat anti-mouse PerCP-Cy5.5-labeled CD4 (BD Biosciences) and APC-labeled rat anti-mouse CD19 antibody (BioLegend, San Diego, CA, USA) at 4 °C for 30 min. Samples were measured using a BD FACSCanto II (BD Biosciences) with BD FACS Diva software (version 6.1.3) at a flowrate of 1000–2000 events/min until at least 15,000 events were recorded. Further analysis was performed with FlowJo® (version 10.0.6, Tree Star Inc., Ashland, USA). Only viable single cells were included in the analysis. A lymphocyte gate on the FSC-H (forward scatter height)/FSC-A (forward scatter area) profile was set. B cells were characterized as CD19+CD4− and T cells as CD19−CD4+ applying a CD4/CD19 bivariate gate. Gates were first set identically for all samples and adjusted individually according to unstained samples. The overall gating strategy is demonstrated in Additional file 1.
ELISPOT analysis
MultiScreen HTS 96-well 0.45-μm ELISPOT plates (Merck-Millipore, Darmstadt, Germany) were coated overnight at 4 °C with 100 μl per well of either 10 μg/ml MP4 (Alexion Pharmaceuticals) or 15 μg/ml anti-mouse IgG (MabTech, Nacka Strand, Sweden) in sterile PBS (Sigma-Aldrich) or with sterile PBS only for negative controls. Plates were blocked with 10% fetal bovine serum (FBS; Gibco, Thermo Fisher Scientific, Waltham, MA, USA) in sterile PBS at room temperature for 2 h. Non-perfused inguinal lymph nodes were dissected, and the suspension was passed through a 70-μm cell strainer (Falcon, Corning, NY, USA). Cells were washed in RPMI-1640 medium before counting them with 0.2% trypan blue (Roth). Samples were resuspended in HL-1 (Lonza, Basel, Switzerland) containing 1% l-glutamine (Sigma-Aldrich) and 1% penicillin/streptomycin (Sigma-Aldrich) and plated at a concentration of 106 cells/well. Plates were incubated at 37 °C and 7% CO2 for 24 h. Goat anti-mouse IgG served as secondary antibody (Dako, Glostrop, Denmark) diluted 1:2000 in 0.5% FBS/PBS and was incubated overnight at 4 °C. Afterwards, streptavidin-alkaline phosphatase (1:800) in 0.5% FBS/PBS was incubated at room temperature for 2 h before Vector Blue substrate kit (Vector Laboratories, Burlingame, CA, USA) was applied according to the manufacturer’s instructions. Scanning and image analysis of the plates was performed using an ImmunoSpot Series 6 UV Analyzer (CTL-Europe, Bonn, Germany).
MP4-specific antibody ELISA
ELISA plates (Nunclon™ Delta Surface™ 96 MicroWell, Nalge Nunc International, Rochester, NY, USA) were coated overnight at 4 °C with 100 μl of 3 μg/ml MP4 in PBS. The plates were blocked with 1% milk powder (MP; Herler Bio Magermilchpulver, Heirler-Cenovis GmBH) in PBS/0.05% Tween (Biochemica, Billingham, UK) at room temperature for 2 h. The serum samples were diluted 1:1000 in 1% MP/0.05% Tween in PBS and incubated at 4 °C overnight. Negative control wells contained 1%MP/0.05% Tween in PBS. Biotinylated anti-mouse IgG (eBioscience, Waltham, MA, USA) was diluted 1:800 in 0.1% MP/PBS and incubated overnight at 4 °C. Strepavidin-horseradish peroxidase (BD Biosciences) was diluted 1:1000 in 0.1% MP/PBS and added for 2 h before 100 μl tetrametyhylbenzidin substrate (eBioscience) was used for development. The reaction was stopped with 0.16 M sulfuric acid and analyzed at 450 nm using a Perkin Elmer (Waltham, MA, USA) Victor3 1420 Multilabel Counter with Wallac 1420 software version 3.00 revision 5.
IHC for CD3+ T cells and B220+ B cells
In MP4-induced EAE, a focus of B cell infiltration is observed in the cerebellum [25]. To this end, paraffin-embedded cerebella were cut into 4–5-μm-thick serial sections covering the entire tissue. Every seventh (acute treatment group) or ninth (chronic treatment group) section was stained with hematoxylin/eosin in order to screen for the presence of inflammatory infiltrates. To this end, n = 12 sections were analyzed per mouse. In case of infiltration, the adjacent section was stained for CD3+ T cells and B220+ B cells by IHC. The diaminobenzidine (DAB)/Vector Blue staining protocol consisted of the following steps: paraffin-embedded sections were rehydrated and endogenous peroxidase was blocked. After citrate buffer-mediated epitope retrieval and protein blocking, the primary antibodies rabbit anti-mouse CD3 (1:200; Abcam, Cambridge, UK) and rat anti-mouse B220 (1:500; eBioscience) were incubated in 1% normal goat serum (NGS; Sigma-Aldrich)/PBS at 4 °C overnight. Inguinal lymph node sections (5 μm thick) served as positive controls. Biotinylated anti-rabbit and anti-rat antibodies (both Vector Laboratories; diluted 1:250 in PBS) were used as secondary antibodies and incubated at room temperature for 1 h. For CD3 detection, the sections were incubated with rabbit-peroxidase-anti-peroxidase complex (diluted 1:250 in PBS) for 30 min in the dark. The sections were developed with a horseradish peroxidase-based VECTASTAIN ABC kit (Vector Laboratories) and monitored under microscopic control in a solution containing nickel sulfate, glucose, ammonium chloride, DAB, and glucose oxidase. For B220 staining, alkaline phosphatase-conjugated streptavidin and Vector Blue substrate kit (Vector Laboratories) were used. The sections were examined with a Leica DM 2000 LED microscope equipped with a Leica MC150HD digital camera and Leica Application Suite 4.40 Build 454 software (Leica, Wetzlar, Germany). Hematoxylin/eosin-stained sections were used to determine the parenchymal area of the cerebella by ImageJ 2.0.0.-rc-54/1.51b software (National Institutes of Health, USA). All infiltrates were further categorized into non-B cell infiltrates, diffuse B cell infiltrates, and B cell aggregates. Since anti-CD52 treatment completely abrogated the formation of B cell aggregates or disrupted these structures during chronic EAE, staining for lymphoid neogenesis was not performed.
Assessment of demyelination and axonal damage by Luxol Fast Blue (LFB) and SMI-32 IHC staining
The spinal cords and cerebella of the chronic EAE cohort were cut into serial sections of 4 μm. Tissue was stained with LFB to detect demyelination (n = 12 sections per mouse) and with anti-SMI-32 antibody to detect axonal damage (n = 4 sections per mouse). The DAB staining protocol for SMI-32 consisted of the following steps: paraffin-embedded sections were rehydrated and endogenous peroxidase was blocked. After citrate buffer-mediated epitope retrieval and protein blocking, staining was performed with the M.O.M kit according to the manufacturer’s instructions (Vector Laboratories). The primary antibody was used at 1:500 dilution (Covance, Princton, NJ, USA). The sections were developed with a horseradish peroxidase-based VECTASTAIN ABC kit (Vector Laboratories) and monitored under microscopic control in a solution containing nickel sulfate, glucose, ammonium chloride, DAB, and glucose oxidase. For LFB staining, slides were also deparaffinized and subsequently stained with a 0.2% solution of Solvent Blue 38 (Sigma-Aldrich) in 96% ethanol at 60 °C overnight. The process was stopped in 50% ethanol, followed by distilled water. To distinguish between myelinated and non-myelinated areas, the slides were stored in 0.05% lithium carbonate solution for 30 s before removing the dye for 30 s in 75% ethanol and stopping the reaction in distilled water. Differentiation was repeated until gray and white matter were clearly distinguishable. All sections were examined with a Leica DM 2000 LED microscope. Analysis and quantification were done with ImageJ 2.0.0.-rc-54/1.51b (National Institutes of Health). Total white matter area and the demyelinated regions within the white matter were measured, and SMI-32+ axons were counted.
Olig2+APC+ IHC
In the chronic EAE cohort, 4-μm-thick paraffin-embedded sections of n = 3 lumbar spinal cords and cerebella were deparaffinized and rehydrated before citrate buffer-based antigen retrieval was performed. Sections were permeabilized for 10 min in 0.25 Triton X/PBS before blocking in 5% NGS/PBS at room temperature for 1 h. Rabbit anti-mouse Olig2 antibody (1:500; Merck Milipore) was incubated at 4 °C overnight. The following day, sections were incubated with biotinylated goat anti-rabbit antibody (1:250; Vector Laboratories) in PBS and with DAPI (1:5000; Roche) at room temperature for 30 min. To perform double staining, the sections were again blocked in 5% NGS/PBS at room temperature for 1 h before incubation with APC primary antibody (Calbiochem, USA) diluted 1:100 in 1% NGS/PBS at room temperature for 2 h. Biotinylated goat anti-mouse IgG (Vector Laboratories) was subsequently applied at a dilution of 1:250 in 1% NGS/PBS at room temperature for 30 min before incubation with NeutrAvidin DyLight 550 (Thermo Scientific). Sections were coverslipped with Mowiol 4-88 (Roth). For analysis, six to eight images of each segment were acquired using a Keyence BZ-9000 fluorescence microscope (Osaka, Japan). Olig2+APC+ cells were counted and white matter area measurements were performed using ImageJ 2.0.0.-rc-54/1.51b software (National Institutes of Health).
Phosphorylated neurofilament heavy (pNF-H) ELISA
pNF-H ELISA was performed with the sera of the same mice that were used for histological analysis. We used a commercially available ELISA kit from Merck according to the manufacturer’s instructions.
Electron microscopy
For EM analysis, we obtained a standardized tissue block from the lumbar spinal cord of each mouse. We carefully prepared the whole spine and isolated the part that contained the spinal cord between thorax and the beginning of the cauda equina. Ultra-thin sections were then obtained from the top of each tissue block. For EM analysis of the cerebellum, the tissue of each mouse was cut into six similar blocks. These blocks corresponded to those areas that most likely contained B cell aggregates and thus neurodegeneration according to our previous experience. All six blocks were screened, and images were acquired from those blocks that were affected by neuroinflammation.
For embedding, samples were first washed with PBS and subsequently with 0.1 M cacodylate buffer (CACO, sodium dimethyl arsenate in aqua dest) (EMS, München, Germany) (pH 7.35) three times for 10 min each. Afterwards, samples were stored in 0.1 M CACO buffer at 4 °C under slight agitation. For epon embedding, samples were washed again with 0.1 M CACO buffer three times on a rotating wheel for 10 min each. Then, they were placed into 0.1 M CACO buffer containing 1% osmium tetroxide (OsO4) (EMS, München, Germany) at room temperature for 4 h. During that time, the tissue was protected from light and deposited on a rotator. The tissue was then washed with aqua bidest twice for 15 min and then for 15 min each in 30%, 50%, 70%, 80%, 90%, and 96% ethanol. After washing twice in 100% ethanol for 15 min each, the tissue was incubated in propylene oxide (EMS, München, Germany) twice for 30 min. The samples were then transferred into a 1:1 mixture of propylene oxide and epon at room temperature overnight and afterwards incubated with pure fresh epon for 2 h. Epon was changed again, and embedded tissue samples were polymerized at 60 °C for 48 h. Epon was prepared by mixing 26 g glycid ether (Serva, Heidelberg, Germany), 11 g dodecenyl succinic-acid anhydride (DDSA) (Serva, Heidelberg, Germany), 15 g methylacid anhydride (MNA) (Serva, Heidelberg, Germany), and 0.25 g 2-,4-,6-tris(dimethylaminomethyl)phenole (DMP) (Serva, Heidelberg, Germany). Embedded tissue was cut transversely at 1 μm on an ultra-microtome (Leica, Wetzlar, Germany, serial number 365952) for semi-thin analysis. Sections were dried at 60 °C for at least 20 min and rinsed in methylene blue (Merck, Darmstadt, Germany) for approximately 45 s. After sections had been washed and dried on a heating plate, they were covered in DEPEX (Serva, Heidelberg, Germany). Digital images were acquired using a Leica DM LB2 microscope, equipped with a Zeiss camera (AxioCam MRc) and Zeiss software (AxioVision 40 4.7). For EM analysis, tissue was cut into 65–85-nm-thick sections. Sections were stretched with chloroform (Roth, Karlsruhe, Germany) while floating in the water tub of the diamond knife (EMS, München, Germany). Afterwards they were carefully put on 100 mesh formvar-coated nickel grids (EMS, München, Germany). For contrast enhancement, the sections were stained with 2% uranyl acetate (Serva, Heidelberg, Germany) in 70% ethanol for 20 min and Reynold’s lead citrate solution (Plano, Wetzlar, Germany) for 7 min. The tissue was analyzed using a Zeiss AB912 LEO transmission electron microscope at 80-kV acceleration voltage. Digital images were acquired with an EM digital camera system (Tröndle sharp eye camera, Moorenweis, Germany) equipped with Zeiss software (Image SP × 64) at × 6300 magnification. At least 10 images per mouse and tissue were analyzed, which covered the areas of the spinal cord and cerebellar lesions.
Statistical analysis
Mann-Whitney and one-way ANOVA tests were used for statistical analysis and computed using GraphPad Prism 6 (La Jolla, CA, USA). Statistical significance was set at p ≤ 0.05. Mean values and standard errors of the mean (SEM) are shown in the graphs.
Results
Anti-mCD52 antibody treatment attenuates acute but not chronic MP4-induced EAE
MP4-immunized B6 mice received 200 μg of anti-mCD52 antibody or IgG2a isotype control by intraperitoneal injection on five consecutive days either at the peak of acute EAE or at ~ 60 days after EAE onset. The mean EAE onset of all treated mice was 16.12 ± 0.55 days after immunization. There was no significant difference in disease severity in anti-mCD52- and isotype control-treated mice at the beginning of treatment in both acute (p = 0.83) and chronic (p = 0.59) EAE (Fig. 1a–d, Additional file 2, Table 1). In acute EAE, anti-mCD52-treated mice displayed a significant decrease in disease severity 11.56 ± 0.18 days post-treatment, while the scores of isotype control-treated mice remained unaffected (Fig. 1a, Table 1; p = 0.02). In chronic EAE, anti-mCD52 treatment did not have any effect on the difference between pre- and post-treatment scores (Fig. 1b; Table 1; p = 0.47). In order to determine the extent of depletion of circulating lymphocytes after anti-mCD52 treatment, we performed flow cytometry on tail vein blood obtained 10.37 ± 0.18 days post-treatment and we determined the percentages of viable CD4+ T cells and CD19+ B cells. In the chronic cohort, CD4+ T cells showed a significant reduction from 24.02 ± 1.71% to 3.39 ± 0.52% (p < 0.001; Fig. 1e). The percentage of CD19+ B cells was significantly reduced to 6.70 ± 1.23% in anti-mCD52-treated mice compared to 38.28 ± 2.82% in the isotype control group (p < 0.001; Fig. 1f). In the acute EAE cohort, comparable results were observed for both T cells (compare 33.82 ± 3.68% to 0.92 ± 0.19%; p = 0.016) and B cells (compare 21.51 ± 4.41% to 3.22 ± 1.34%; p = 0.016).
Anti-mCD52 treatment does not affect MP4-specific B cells and autoantibodies
In order to determine the effect of anti-mCD52 treatment on peripheral MP4-specific B cells, we performed ELISPOT on draining lymph node cells (Fig. 2a, b) of both anti-mCD52- and isotype control-treated mice in the acute and chronic EAE cohort. Samples were collected 11.37 ± 0.18 days after treatment onset. As shown in Fig. 2, there was no difference between the numbers of MP4-specific antibody secreting B cells expressed as anti-MP4 IgG/total IgG ratio in anti-mCD52- vs. isotype control-treated animals (pacute = 0.51; pchronic = 0.81). There was also no difference between anti-MP4-specific IgG titers in the sera of both groups (pacute = 0.73; pchronic = 0.75) (Fig. 2c, d).
Anti-mCD52 treatment significantly decreases immune cell infiltration in the cerebella of acute and chronic MP4-immunized mice
Since our results showed a reduction in blood lymphocyte counts in FACS analysis, we set out to further determine the impact of this lymphocyte depletion on immune infiltration in the CNS. To this end, we screened the cerebella of mice treated at the peak of EAE and ~ 60 days after EAE onset for CD3+ T cell and B220+ B cell infiltration by IHC. The tissue was collected 11.37 ± 0.18 days after treatment. To further differentiate infiltrate categories in the CNS, we defined three different types of lymphocyte infiltration (Fig. 3a–c). Loose perivascular infiltrates of CD3+ T cells in the absence of B220+ B cells were defined as non-B cell infiltrates, while the simultaneous presence of individual CD3+ T cells and B220+ B cells was characteristic of diffuse B cell infiltrates. B cell aggregates were defined as highly compact perivascular aggregation of stained lymphocytes containing at least one-third B220+ B cells. The percentage of perivascular infiltration per parenchymal area was determined for each category in acute and chronic EAE. As shown in Fig. 3, there was a significant overall reduction in immune cell infiltration in the cerebella of anti-mCD52-treated animals in the acute (p = 0.03) (Fig. 3d–f) and chronic EAE cohort (p = 0.002) (Fig. 3g–i). Strikingly, B cell aggregates were entirely absent in all of the n = 14 anti-mCD52-treated animals, while only n = 4 of 15 isotype control-treated mice were aggregate-free. Because of this complete depletion of B cell aggregates in the anti-CD52-treated group, we did not perform any further analysis on potential lymphoid neogenesis resulting from B cell aggregation in this study.
Anti-mCD52 therapy does not have neuroprotective effects in MP4-induced EAE
We have demonstrated that anti-mCD52 treatment significantly reduced both peripheral lymphocyte counts and CNS infiltration in MP4-induced EAE. Yet, there was no impact on clinical disease severity in the chronic stage of the disease. This lack of effect on late-stage EAE may be explained by the absence of primarily neuroprotective properties of the drug. We stained sections of the lumbar spinal cord of anti-mCD52- and isotype control-treated B6 mice of the chronic treatment cohort for demyelination using LFB (Fig. 4a) and for SMI-32+ damaged axons (Fig. 4b). Both the demyelinated area and the number of SMI-32+ axons were set in relation to the total white matter (WM) spinal cord area that was analyzed. We also determined the cell densities of Olig2+APC+ oligodendrocytes (Fig. 4c). The data show that the extent of demyelination (p = 0.74) and axonal damage (p = 0.97) as well as the cell densities of Olig2+APC+ oligodendrocytes (p = 0.07) were comparable between anti-mCD52- and isotype control-treated mice. Similar results were obtained when the cerebellum was analyzed (Additional file 3). To further corroborate these results, we performed pNF-H ELISA on serum samples from the same mice that were used for histology (Fig. 5). It has previously been proposed that the detection of pNF-H in CSF and blood of patients with neurodegenerative diseases provides information about the degree of axonal injury [26]. Indeed, pNF-H has been reported to be present in large amounts in CSF and blood following experimental spinal cord and brain injury in rats [27]. In addition, the detection of pNF-H has been associated with amyotrophic lateral sclerosis [28, 29], optic neuritis [30], and also with MS [31]. In our study, elevated levels of pNF-H were detectable in the sera of MP4-immunized compared to non-immunized control mice. However, there was no difference between anti-CD52- and isotype control-treated mice (Fig. 5).
While light microscopic and serum analyses provide a first impression on neurodegeneration, ultrastructural analysis is needed for detailed quantification. To this end, we used electron microscopy to assess myelin pathology as well as beginning and irreversible axonal damage in both anti-mCD52- and isotype control-treated mice in the spinal cord (Fig. 6) and cerebellum (Fig. 7). In order to distinguish between de- and remyelinating nerve fibers, the g-ratio was used. This ratio describes the relationship of the myelin sheath to its respective nerve fiber. Analysis of n = 8 naïve mice allowed us to determine the physiological range of the g-ratio in both the spinal cord (0.40–0.86) and cerebellum (0.48–0.82). While beginning axonal damage can be assessed by the so-called nearest neighbor neurofilament distance (NNND) with a decreased NNND indicating pathology, irreversible axonal damage is reflected by axolysis and axonal loss. Figures 6 and 7 demonstrate that both anti-mCD52- and isotype control-treated mice displayed a significantly increased number of pathological nerve fibers both in terms of demyelination and axonal damage, which pertained both to the spinal cord and the cerebellum. Along these lines, the number of axons was significantly reduced in both EAE groups. While there was no difference in the extent of de- and remyelination comparing anti-mCD52- and isotype control-treated mice (Figs. 6b and 7b), anti-mCD52-treated displayed significantly decreased axonal pathology and axonal loss (Figs. 6c and 7c).
Discussion
Alemtuzumab, a humanized anti-CD52 antibody, is a relatively new approved treatment option for MS with promising results in multiple clinical trials [32–35]. Yet, the mechanistic effects of the drug on different aspects of MS pathogenesis have remained subject to further research, including the impact of alemtuzumab on the B cell component of the disease. The most recent reports of treatment failure in individual patients with subsequent severe and possibly B cell-mediated relapses underline the importance of further research along these lines [36]. While longitudinal studies on the impact of alemtuzumab on peripheral and CNS B cells are difficult to perform in MS patients themselves, the EAE model offers the possibility of investigating long-term effects of anti-CD52 antibody treatment on both the autoimmune response and also on neurodegeneration and nueroregeneration.
In our model, anti-CD52 antibody treatment drastically reduced the numbers of circulating CD4+ T cells and B220+ B cells, while the titers of MP4-specific serum antibodies and the numbers of the corresponding plasmablast population in the blood remained unaffected. This was expected and well in line with previous studies in EAE [19–21] and in humans [12, 13, 15, 37] and could be explained by differences in the expression of CD52 on different lymphocyte subsets. In particular, low levels of CD52 on plasmablasts have been noted before [37].
Unlike previous studies that all relied on T cell-dependent EAE, we immunized mice with the MP4 molecule that induces both encephalitogenic T cells and B cells/antibodies. Using this model, we were able to show that anti-CD52 treatment did not only deplete circulating B cells, but also B cells that had formed aggregates in the CNS. Interestingly, treatment not only prevented the formation of aggregates, but also disrupted already existing aggregates in MP4-induced EAE. The clinical relevance of B cell aggregates in the brains of MS patients is still subject to debate, but an association with an earlier disease onset, progression, and death and with more severe cortical pathology is assumed [38, 39]. These results may support recently published data that found alemtuzumab to reduce the relapse rate in MS patients more efficiently than fingolimod, while being comparable to natalizumab [40]. Mechanistically, it is unclear whether the disruption of B cell aggregates in the brain after anti-CD52 antibody treatment is the result of direct B cell depletion or rather due to a lack of replenishment from circulating peripheral B cells. Natalizumab is a potent anti-VLA4-antibody that blocks the migration of lymphocytes through the blood-brain barrier (BBB) by inhibiting their binding to the cell adhesion molecules VCAM-1 and MAdCAM-1 on the endothelium. The resulting complete or partial disappearance of OCBs in the CSF of a group of RRMS patients treated with natalizumab [41, 42] indicates that constant supply from the periphery is necessary to maintain B cell aggregates if they are considered at least partially responsible for OCB development. We have previously shown that treatment with the S1P1 receptor agonist fingolimod, which inhibits lymphocyte egress from secondary lymphoid organs, prevented the development of B cell aggregates in the CNS in acute MP4-induced EAE, while it did not affect existing infiltrates in the chronic stage of the disease [43]. This rather suggests the independence of B cell aggregates, at least partially, from peripheral support. Yet, our data have also shown that the effect of fingolimod on B cells was much less pronounced than on T cells. Therefore, it is conceivable that there is still ongoing migration of autoreactive B cells into the CNS in the setting of fingolimod treatment, while natalizumab blocks B cell migration more effectively and alemtuzumab depletes the majority of migrating lymphocytes.
Any efficient depletion of lymphocytes in the CNS relies on the penetration of the antibody through the BBB, on sufficient binding to the target cell, and on the activation of antibody-dependent cellular and/or complement-dependent cytotoxicity (ADCC/CDC) in case of the currently available type I antibodies. This has been confirmed for alemtuzumab in vitro [44] and in vivo [17]. While in gadolinium-enhanced magnetic resonance imaging (MRI) studies of lesions in RR-MS patients the BBB has been described to be permeable for antibodies, and complement levels have been reported to be elevated in the CNS, the BBB in secondary progressive (SP-MS) and primary progressive (PP-MS) patients exhibits lower permeability. Indeed, a clinical trial comparing a combination of intrathecal and intravenous application of the anti-CD20 antibody rituximab to placebo in patients with low-inflammatory SP-MS was terminated early since it failed to reach the expected efficiency in the depletion of intrathecal B cells and axonal damage markers in the CSF [45]. Decreased CDC, lack of natural killer cells, and lower CSF flow were made responsible for the failure of the trial. These arguments may also apply to alemtuzumab treatment.
In order to prevent further or even reverse pre-existing neurological disabilities, the search for new treatment options for MS patients focuses not only on immune modulation, but also on neuroprotection [46, 47]. A post hoc subgroup analysis of patients in the CAMMS223 cohort with no clinical evidence of immunological disease activity before treatment and no clinical and radiological disease activity on-trial displayed an overall reduction of clinical disabilities [48]. This could not be explained by the suppression of inflammation due to the depletion of lymphocytes since ongoing neuroinflammation was not detectable in this subgroup. These findings raised hope that alemtuzumab may create an environment of “neuroprotective autoimmunity,” with reported higher levels of neurotrophins and oligotrophins resulting in disability reduction. Along these lines, Turner et al. [19] described the reversal of EAE scores in the MOG35–55, MOG1–121, and PLP139–151 model early after disease onset after anti-CD52 antibody treatment. Furthermore, they demonstrated neuroprotective effects of the drug in the spinal cord of MOG35–55-immunized mice during acute EAE, reporting a significant reduction in demyelinated white matter, axonal damage, as well as the preservation of axonal conductance. When we applied the anti-CD52 antibody at the peak of MP4-induced EAE, we observed a similar attenuation of clinical EAE. However, there was no effect on EAE scores when treatment was initiated in the chronic stage of the disease ~ 60 days after EAE onset, which had not been evaluated in the other EAE models before [19–21]. Further analysis revealed differential effects of the treatment on CNS degeneration in chronic MP4-immunized mice. In contrast to the results of Turner et al., we did not observe any difference between isotype- and anti-CD52 antibody-treated mice in the light microscopic analysis of demyelination and SMI-32+ axons, indicating axonal damage in the lumbar spinal cord and cerebellum of MP4-immunized mice. These results were underlined by similar levels of pNF-H in the sera obtained from the two mouse groups. Furthermore, we did not observe ongoing remyelination when staining for Olig2+APC+ oligodendrocytes or when performing ultrastructural electron microscopic analysis. Yet, on the ultrastructural level, the numbers of damaged axons were significantly decreased after anti-CD52 treatment. Indeed, electron microscopy allows the precise evaluation of CNS pathology on the level of individual nerve fibers and is therefore much more sensitive than the light microscopic techniques. These beneficial effects on CNS histopathology are likely to the result of reduced CNS inflammation and potentially the disruption of B cell aggregates, which have been described to secrete soluble toxic molecules into the adjacent tissue inducing CNS pathology [39]. This assumption is supported by a 6-year follow-up clinical trial that displayed sustained reduction of the relapse rate, however without improvement of clinical disabilities in a more selective group of alemtuzumab-treated patients with poor prognostic indicators such as high relapse rate, active disease on cMRI scans, and rapidly accumulating disability [34].
Conclusion
This study underlines the potency of anti-CD52 antibody treatment to deplete T cells and B cells in the context of EAE. The novel aspect of this study is the demonstration of a treatment effect on B cell aggregates in the CNS. It will be subject to future studies to determine whether alemtuzumab is equally effective in depleting B cell aggregates in MS patients and whether such depletion is actually associated with clinical benefit. On the one hand, suitable imaging tools to detect B cell aggregate formation in the brains of MS patients would help to address this question. Until such tools may eventually be available, the development of blood- and/or CSF-based biomarkers to measure autoantigen-specific B cell activity may be useful to predict and monitor the effect of alemtuzumab on the B cell compartment in patients and to correlate such an effect with clinical outcomes. On the other hand, while B cell aggregate formation is a characteristic feature of the MP4 model, the actual existence and relevance of these structures in the MS brain is still heavily debated.
Eventually, the permeability of alemtuzumab through the BBB and its mode of action in the CNS itself needs to be further investigated. It may also be worthwhile to consider a type II anti-CD52 antibody, which is supposed to be less dependent on CDC and ADCC by inducing apoptosis directly.
Additional files
Acknowledgements
We would like to thank Alla Ganscher, Brigitte Treffny, Karin Reinfurt, and Sieglinde Schenk for the excellent technical support and Michael Christof for the graphical procession of the figures.
Funding
This study was funded by a research grant from Sanofi Genzyme.
Availability of data and materials
Please contact the author for data requests.
Abbreviations
- ADCC
Antibody-dependent cellular cytotoxicity
- B6
C57BL/6
- BBB
Blood-brain barrier
- CACO
Cacodylate
- CDC
Complement-dependent cytotoxicity
- CFA
Complete Freund’s adjuvant
- CNS
Central nervous system
- CSF
Cerebrospinal fluid
- DAB
Diaminobenzidine
- EAE
Experimental autoimmune encephalomyelitis
- GA
Glutaraldehyde
- IHC
Immunohistochemistry
- IL-4
Interleukin-4
- LFB
Luxol Fast Blue
- MBP
Myelin basic protein
- MOG
Myelin oligodendrocyte glycoprotein
- MP
Milk powder
- MP4
MBP-PLP fusion protein
- MRI
Magnetic resonance imaging
- MS
Multiple sclerosis
- NGS
Normal goat serum
- NNND
Nearest neighbor neurofilament distance
- OCB
Oligoclonal bands
- PBS
Phosphate-buffered saline
- PFA
Paraformaldehyde
- PLP
Proteolipid protein
- pNF-H
Phosphorylated neurofilament heavy
- PP-MS
Primary progressive MS
- RR-MS
Relapsing-remitting MS
- SEM
Standard error of the mean
- SP-MS
Secondary progressive MS
- WM
White matter
Authors’ contributions
MS and RI conducted ELISA experiments and statistical analyses. MS conducted the ELISPOT experiments, immunohistochemistry, and drafted the manuscript. RI was responsible for electron microscopy. DRM, MS, and RI conducted the flow cytometry experiments. AS scored the mice. CK, GH, and SK were responsible for the design of the study. SK immunized and treated the mice, conducted ELISA experiments, supervised the study, interpreted the data, and drafted the manuscript. All authors read and approved the final manuscript.
The study was approved by the Regierung von Unterfranken (file 91/14).
Not applicable.
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Micha Simon, Email: simon_micha@hotmail.com.
Rojda Ipek, Email: rojda_i@outlook.com.
György A. Homola, Email: homola@neuroradiologie.uni-wuerzburg.de
Damiano M. Rovituso, Email: damianorovituso@yahoo.de
Andrea Schampel, Email: schampel@anat.uni-luebeck.de.
Christoph Kleinschnitz, Email: christoph.kleinschnitz@uk-essen.de.
Stefanie Kuerten, Phone: +49-9131-85-22264, Email: stefanie.kuerten@fau.de.
References
- 1.Compston A, Coles A. Multiple sclerosis. Lancet. 2008;372:1502–1517. doi: 10.1016/S0140-6736(08)61620-7. [DOI] [PubMed] [Google Scholar]
- 2.Popescu BF, Pirko I, Lucchinetti CF. Pathology of multiple sclerosis: where do we stand? Continuum (Minneap Minn) 2013;19:901–921. doi: 10.1212/01.CON.0000433291.23091.65. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Disanto G, Morahan JM, Barnett MH, Giovannoni G, Ramagopalan SV. The evidence for a role of B cells in multiple sclerosis. Neurology. 2012;78:823–832. doi: 10.1212/WNL.0b013e318249f6f0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Lucchinetti C, Bruck W, Parisi J, Scheithauer B, Rodriguez M, Lassmann H. Heterogeneity of multiple sclerosis lesions: implications for the pathogenesis of demyelination. Ann Neurol. 2000;47:707–717. doi: 10.1002/1531-8249(200006)47:6<707::AID-ANA3>3.0.CO;2-Q. [DOI] [PubMed] [Google Scholar]
- 5.Meinl E, Krumbholz M, Hohlfeld R. B lineage cells in the inflammatory central nervous system environment: migration, maintenance, local antibody production, and therapeutic modulation. Ann Neurol. 2006;59:880–892. doi: 10.1002/ana.20890. [DOI] [PubMed] [Google Scholar]
- 6.Hauser SL, Bar-Or A, Comi G, Giovannoni G, Hartung HP, Hemmer B, Lublin F, Montalban X, Rammohan KW, Selmaj K, Traboulsee A, Wolinsky JS, Arnold DL, Klingelschmitt G, Masterman D, Fontoura P, Belachew S, Chin P, Mairon N, Garren H, Kappos L, OPERA I, OPERA II Clinical Investigators Ocrelizumab versus inteferon Beta-1a in relapsing multiple sclerosis. N Engl J Med. 2017;376:221–234. doi: 10.1056/NEJMoa1601277. [DOI] [PubMed] [Google Scholar]
- 7.Cortese I, Chaudhry V, So YT, Cantor F, Cornblath DR, Rae-Grant A. Evidence-based guideline update: Plasmapheresis in neurologic disorders: report of the Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology. Neurology. 2011;3:294–300. doi: 10.1212/WNL.0b013e318207b1f6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Hale G, Xia MQ, Tighe HP, Dyer MJ, Waldmann H. The CAMPATH-1 antigen (CDw52) Tissue Antigens. 1990;35:118–127. doi: 10.1111/j.1399-0039.1990.tb01767.x. [DOI] [PubMed] [Google Scholar]
- 9.Willis MD, Robertson NP. Alemtuzumab for multiple sclerosis. Curr Neurol Neurosci Rep. 2016;16:84. doi: 10.1007/s11910-016-0685-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Rao SP, Sancho J, Campos-Rivera J, et al. Human peripheral blood mononuclear cells exhibit heterogeneous CD52 expression levels and show differential sensitivity to alemtuzumab mediated cytolysis. PLoS One. 2012;7:e39416. doi: 10.1371/journal.pone.0039416. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Wiendl H, Bourdette D, Ciccarelli O. Can immune reprogramming with alemtuzumab induce permanent remission in multiple sclerosis? Neurology. 2017;89:1098–1100. doi: 10.1212/WNL.0000000000004381. [DOI] [PubMed] [Google Scholar]
- 12.Cox AL, Thompson SA, Jones JL, et al. Lymphocyte homeostasis following therapeutic lymphocyte depletion in multiple sclerosis. Eur J Immunol. 2005;35:3332–3342. doi: 10.1002/eji.200535075. [DOI] [PubMed] [Google Scholar]
- 13.Zhang X, Tao Y, Chopra M, et al. Differential reconstitution of T cell subsets following immunodepleting treatment with alemtuzumab (anti-CD52 monoclonal antibody) in patients with relapsing-remitting multiple sclerosis. J Immunol. 2013;191:5867–5874. doi: 10.4049/jimmunol.1301926. [DOI] [PubMed] [Google Scholar]
- 14.Havari E, Turner MJ, Campos-Rivera J, et al. Impact of alemtuzumab treatment on the survival and function of human regulatory T cells in vitro. Immunology. 2014;141:123–131. doi: 10.1111/imm.12178. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Thompson SA, Jones JL, Cox AL, Compston DA, Coles AJ. B-cell reconstitution and BAFF after alemtuzumab (Campath-1H) treatment of multiple sclerosis. J Clin Immunol. 2010;30:99–105. doi: 10.1007/s10875-009-9327-3. [DOI] [PubMed] [Google Scholar]
- 16.Heidt S, Hester J, Shankar S, Friend PJ, Wood KJ. B cell repopulation after alemtuzumab induction-transient increase in transitional B cells and long-term dominance of naive B cells. Am J Transplant. 2012;12:1784–1792. doi: 10.1111/j.1600-6143.2012.04012.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Hu Y, Turner MJ, Shields J, et al. Investigation of the mechanism of action of alemtuzumab in a human CD52 transgenic mouse model. Immunology. 2009;128:260–270. doi: 10.1111/j.1365-2567.2009.03115.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Turner MJ, Lamorte MJ, Chretien N, et al. Immune status following alemtuzumab treatment in human CD52 transgenic mice. J Neuroimmunol. 2013;261:29–36. doi: 10.1016/j.jneuroim.2013.04.018. [DOI] [PubMed] [Google Scholar]
- 19.Turner MJ, Pang PT, Chretien N, et al. Reduction of inflammation and preservation of neurological function by anti-CD52 therapy in murine experimental autoimmune encephalomyelitis. J Neuroimmunol. 2015;285:4–12. doi: 10.1016/j.jneuroim.2015.05.018. [DOI] [PubMed] [Google Scholar]
- 20.Pant AB, Wang Y, Mielcarz DW, Kasper EJ, Telesford KM, Mishra M, Haque A, Channon JY, Kasper LH, Begum-Haque S. Alteration of CD39+Foxp3+ CD4 T cell and cytokine levels in EAE/MS following anti-CD52 treatment. J Neuroimmunol. 2017;303:22–30. doi: 10.1016/j.jneuroim.2016.12.010. [DOI] [PubMed] [Google Scholar]
- 21.Barbour M, Wood R, Hridi SU, Wilson C, McKay G, Bushell TJ, Jiang HR. The therapeutic effect of anti-CD52 treatment in murine experimental autoimmune encephalomyelitis is associated with altered IL-33 and ST2 expression levels. J Neuroimmunol. 2018;318:87–96. doi: 10.1016/j.jneuroim.2018.02.012. [DOI] [PubMed] [Google Scholar]
- 22.Kuerten S, Lichtenegger FS, Faas S, Angelov DN, Tary-Lehmann M, Lehmann PV. MBP-PLP fusion protein-induced EAE in C57BL/6 mice. J Neuroimmunol. 2006;177:99–111. doi: 10.1016/j.jneuroim.2006.03.021. [DOI] [PubMed] [Google Scholar]
- 23.Kuerten S, Schickel A, Kerkloh C, et al. Tertiary lymphoid organ development coincides with determinant spreading of the myelin-specific T cell response. Acta Neuropathol. 2012;124:861–873. doi: 10.1007/s00401-012-1023-3. [DOI] [PubMed] [Google Scholar]
- 24.Kuerten S, Gruppe TL, Laurentius LM, et al. Differential patterns of spinal cord pathology induced by MP4, MOG peptide 35-55, and PLP peptide 178-191 in C57BL/6 mice. APMIS. 2011;119:336–346. doi: 10.1111/j.1600-0463.2011.02744.x. [DOI] [PubMed] [Google Scholar]
- 25.Kuerten S, Kostova-Bales DA, Frenzel LP, Tigno JT, Tary-Lehmann M, Angelov DN, Lehmann PV. MP4- and MOG:35-55-induced EAE in C57BL/6 mice differentially targets brain, spinal cord and cerebellum. J Neuroimmunol. 2007;189:31–40. doi: 10.1016/j.jneuroim.2007.06.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Shaw G. Brain neurotrauma: molecular, neuropsychological, and rehabilitation aspects. In: Kobeissy FH, editor. Chapter 21. Frontiers in Neuroengineering. Boca Raton: CRC Press/Taylor & Francis; 2015. [PubMed]
- 27.Shaw G, Yang C, Ellis R, et al. Hyperphosphorylated neurofilament NF-H is a serum biomarker of axonal injury. Biochem Biophys Res Commun. 2005;336:1268–1277. doi: 10.1016/j.bbrc.2005.08.252. [DOI] [PubMed] [Google Scholar]
- 28.Lu CH, Macdonald-Wallis C, Gray E, et al. Neurofilament light chain: a prognostic biomarker in amyotrophic lateral sclerosis. Neurology. 2015;84:2247–2257. doi: 10.1212/WNL.0000000000001642. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Li Y, Zhang L, Kallakuri S, Cohen A, Cavanaugh JM. Correlation of mechanical impact responses and biomarker levels: a new model for biomarker evaluation in TBI. J Neurol Sci. 2015;359:280–286. doi: 10.1016/j.jns.2015.08.035. [DOI] [PubMed] [Google Scholar]
- 30.Petzold A, Rejdak K, Plant GT. Axonal degeneration and inflammation in acute optic neuritis. J Neurol Neurosurg Psychiatry. 2004;75:1178–1180. doi: 10.1136/jnnp.2003.017236. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Gresle MM, Liu Y, Dagley LF, et al. Serum phosphorylated neurofilament-heavy chain levels in multiple sclerosis patients. J Neurol Neurosurg Psychiatry. 2014;85:1209–1213. doi: 10.1136/jnnp-2013-306789. [DOI] [PubMed] [Google Scholar]
- 32.Cohen JA, Coles AJ, Arnold DL, et al. Alemtuzumab versus interferon beta 1a as first-line treatment for patients with relapsing-remitting multiple sclerosis: a randomised controlled phase 3 trial. Lancet. 2012;380:1819–1828. doi: 10.1016/S0140-6736(12)61769-3. [DOI] [PubMed] [Google Scholar]
- 33.Investigators CT, Coles AJ, Compston DA, et al. Alemtuzumab vs. interferon beta-1a in early multiple sclerosis. N Engl J Med. 2008;359:1786–1801. doi: 10.1056/NEJMoa0802670. [DOI] [PubMed] [Google Scholar]
- 34.Willis MD, Harding KE, Pickersgill TP, et al. Alemtuzumab for multiple sclerosis: long term follow-up in a multi-centre cohort. Mult Scler. 2016;22:1215–1223. doi: 10.1177/1352458515614092. [DOI] [PubMed] [Google Scholar]
- 35.Havrdova E, Arnold DL, Cohen JA, et al. Alemtuzumab CARE-MS I 5-year follow-up: durable efficacy in the absence of continuous MS therapy. Neurology. 2017;89:1107–1116. doi: 10.1212/WNL.0000000000004313. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Haghikia A, Dendrou CA, Schneider R, et al. Severe B-cell-mediated CNS disease secondary to alemtuzumab therapy. Lancet Neurol. 2017;16:104–106. doi: 10.1016/S1474-4422(16)30382-9. [DOI] [PubMed] [Google Scholar]
- 37.Ellebedy AH, Jackson KJ, Kissick HT, Nakaya HI, Davis CW, Roskin KM, McElroy AK, Oshansky CM, Elbein R, Thomas S, Lyon GM, Spiropoulou CF, Mehta AK, Thomas PG, Boyd SD, Ahmed R. Defining antigen-specific plasmablast and memory B cell subsets in human blood after viral infection or vaccination. Nat Immunol. 2016;17:1226–1234. doi: 10.1038/ni.3533. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Serafini B, Rosicarelli B, Magliozzi R, Stigliano E, Aloisi F. Detection of ectopic B-cell follicles with germinal centers in the meninges of patients with secondary progressive multiple sclerosis. Brain Pathol. 2004;14:164–174. doi: 10.1111/j.1750-3639.2004.tb00049.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Magliozzi R, Howell O, Vora A, et al. Meningeal B-cell follicles in secondary progressive multiple sclerosis associate with early onset of disease and severe cortical pathology. Brain. 2007;130:1089–1104. doi: 10.1093/brain/awm038. [DOI] [PubMed] [Google Scholar]
- 40.Kalincik T, Brown JWL, Robertson N, et al. Treatment effectiveness of alemtuzumab compared with natalizumab, fingolimod, and interferon beta in relapsing-remitting multiple sclerosis: a cohort study. Lancet Neurol. 2017;16:271–281. doi: 10.1016/S1474-4422(17)30007-8. [DOI] [PubMed] [Google Scholar]
- 41.Harrer A, Tumani H, Niendorf S, et al. Cerebrospinal fluid parameters of B cell-related activity in patients with active disease during natalizumab therapy. Mult Scler. 2013;19:1209–1212. doi: 10.1177/1352458512463483. [DOI] [PubMed] [Google Scholar]
- 42.von Glehn F, Farias AS, de Oliveira AC, et al. Disappearance of cerebrospinal fluid oligoclonal bands after natalizumab treatment of multiple sclerosis patients. Mult Scler. 2012;18:1038–1041. doi: 10.1177/1352458511428465. [DOI] [PubMed] [Google Scholar]
- 43.Bail K, Notz Q, Rovituso DM, et al. Differential effects of FTY720 on the B cell compartment in a mouse model of multiple sclerosis. J Neuroinflammation. 2017;14:148. doi: 10.1186/s12974-017-0924-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Lowenstein H, Shah A, Chant A, Khan A. Different mechanisms of Campath-1H-mediated depletion for CD4 and CD8 T cells in peripheral blood. Transpl Int. 2006;19:927–936. doi: 10.1111/j.1432-2277.2006.00382.x. [DOI] [PubMed] [Google Scholar]
- 45.Komori M, Lin YC, Cortese I, et al. Insufficient disease inhibition by intrathecal rituximab in progressive multiple sclerosis. Ann Clin Transl Neurol. 2016;3:166–179. doi: 10.1002/acn3.293. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Stys PK, Zamponi GW, van Minnen J, Geurts JJ. Will the real multiple sclerosis please stand up? Nat Rev Neurosci. 2012;13:507–514. doi: 10.1038/nrn3275. [DOI] [PubMed] [Google Scholar]
- 47.Ransohoff RM, Hafler DA, Lucchinetti CF. Multiple sclerosis—a quiet revolution. Nat Rev Neurol. 2015;11:134–142. doi: 10.1038/nrneurol.2015.14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Jones JL, Anderson JM, Phuah CL, et al. Improvement in disability after alemtuzumab treatment of multiple sclerosis is associated with neuroprotective autoimmunity. Brain. 2010;133:2232–2247. doi: 10.1093/brain/awq176. [DOI] [PubMed] [Google Scholar]
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