- Open Access
NFκB signaling drives pro-granulocytic astroglial responses to neuromyelitis optica patient IgG
Journal of Neuroinflammation volume 12, Article number: 185 (2015)
Astrocytes expressing the aquaporin-4 water channel are a primary target of pathogenic, disease-specific immunoglobulins (IgG) found in patients with neuromyelitis optica (NMO). Immunopathological analyses of active NMO lesions highlight a unique inflammatory phenotype marked by infiltration of granulocytes. Previous studies characterized this granulocytic infiltrate as a response to vasculocentric complement activation and localized tissue destruction. In contrast, we observe that granulocytic infiltration in NMO lesions occurs independently of complement-mediated tissue destruction or active demyelination. These immunopathological findings led to the hypothesis that NMO IgG stimulates astrocyte signaling that is responsible for granulocytic recruitment in NMO.
Histopathology was performed on archival formalin-fixed paraffin-embedded autopsy-derived CNS tissue from 23 patients clinically and pathologically diagnosed with NMO or NMO spectrum disorder. Primary murine astroglial cultures were stimulated with IgG isolated from NMO patients or control IgG from healthy donors. Transcriptional responses were assessed by microarray, and translational responses were measured by ELISA. Signaling through the NFκB pathway was measured by western blotting and immunostaining.
Stimulation of primary murine astroglial cultures with NMO IgG elicited a reactive and inflammatory transcriptional response that involved signaling through the canonical NFκB pathway. This signaling resulted in the release of pro-granulocytic chemokines and was inhibited by the clinically relevant proteasome inhibitors bortezomib and PR-957.
We propose that the astrocytic NFκB-dependent inflammatory response to stimulation by NMO IgG represents one of the earliest events in NMO pathogenesis, providing a target for therapeutic intervention upstream of irreversible cell death and tissue damage.
Neuromyelitis optica (NMO) is a severe, generally relapsing disease of the central nervous system (CNS) characterized by optic neuritis and transverse myelitis with longitudinally extensive spinal cord lesions [1, 2]. The identification of an NMO-specific autoantibody (NMO IgG) and aquaporin 4 (AQP4) as an antigenic target of this antibody defined NMO as a distinct disease with unique pathogenic and pathological characteristics . AQP4, the principle water channel in the CNS, is densely expressed on perivascular astrocytic endfeet and is crucial for bidirectional water transport and normal CNS homeostasis [4, 5]. The AQP4 expression pattern and distribution of NMO-specific lesions  suggest that astrocytes are a cellular target of NMO IgG and that NMO is a primary astrocytopathy .
Immunopathological analyses of active NMO lesions define a unique vasculocentric pattern of complement activation and granulocytic infiltration involving both eosinophils and neutrophils [8, 9]. Characteristic IgG deposition and complement activation on the adluminal surface of the vasculature corresponds to the location of the astrocyte endfeet that envelop the blood vessels . Evidence from ex vivo and in vitro studies is currently interpreted in support of a model for NMO pathogenesis wherein NMO IgG gains entry into the CNS, binds to AQP4 on astrocytic foot processes, and induces complement activation and deposition of the terminal membrane attack complex, resulting in astrocyte injury and death that leads to recruitment of eosinophils and neutrophils into the lesions [4, 10]. In this model, complement-mediated astrocyte death is the key driver of chemokine, cytokine, and toxic effector production in lesions that results in the recruitment of macrophages that then induce demyelination and the death of oligodendrocytes and neurons . This model defines granulocytic recruitment as a consequence of complement-mediated astrocyte death. However, recent evidence from human tissue indicates that many NMO lesions are non-destructive but highly inflammatory, with prominent activation of parenchymal microglia and perivascular macrophages, infiltration of neutrophils, and degranulation of infiltrated eosinophils in the absence of astrocyte death, terminal complement deposition, or overt tissue destruction [9, 12]. This suggests that alternative mechanisms may be responsible for granulocytic recruitment in early NMO lesions.
Astrocytes are central mediators of general CNS homeostasis, participating in and controlling key metabolic cascades that are vital for normal neuronal function. Astrocytes are also active participants in the pathogenesis of numerous CNS diseases, modulating local inflammatory responses, controlling blood–brain barrier function, and serving as a source of chemokines and cytokines [13, 14]. Such astrocyte-initiated inflammatory responses set the stage for leukocyte-mediated feedback loops that elicit profound neuropathology during infection, inflammation, autoimmunity, and trauma. Recently, we observed that stimulation of primary rat astrocyte cultures with serum or IgG isolated from NMO patients resulted in the release of the potent pro-granulocytic chemokine CCL5, with essentially no release stimulated by serum from MS or systemic lupus erythematosus (SLE) patients . These data suggest that astrocytes respond directly to NMO patient-derived IgG, and that the stimulated chemokine response is disease-specific and pro-granulocytic. Based on these observations, we hypothesize that the astrocytic inflammatory response to stimulation by NMO IgG represents one of the earliest pathogenic events in NMO, preceding severe and irreversible cell death and tissue damage.
Histopathology was performed on archival formalin-fixed paraffin-embedded autopsy-derived CNS tissue from 23 patients clinically and pathologically diagnosed with NMO or NMO spectrum disorder. Five-micrometer-thick sections were stained with hematoxylin and eosin (H&E), luxol fast blue, and periodic acid–Schiff or Bielschowsky silver impregnation. Immunohistochemistry was performed using primary antibodies against proteolipid protein (PLP) (1:500, Serotec), glial fibrillary acidic protein (GFAP) (1:100, Dako), and AQP4 (1:250, Sigma). C9neo was detected using monoclonal clone B7 (1:200) or polyclonal anti-C9neo (1:200), both a gift of Prof. Paul Morgan, Cardiff, UK.
A topographical map was made in order to define regions of interest based on the following: (1) stage of demyelinating activity (active demyelination, inactive demyelination, remyelination, periplaque white matter, or normal appearing white matter); (2) the extent of tissue damage, graded as none, mild (tissue vacuolation with mild microglial reaction), moderate (damaged and disorganized parenchymal cell components with obvious macrophage infiltration), or marked (prominent parenchymal cell loss or cystic lesions); (3) the nature of the astrocytic reaction based on GFAP staining and hypertrophy of astrocytic processes or the presence of dystrophic astrocytes ; (4) the presence or absence of complement deposition; and (5) the loss of AQP4 expression.
Eosinophils and neutrophils were identified based on morphological characteristics using H&E-stained sections. Eosinophil infiltration was measured semi-quantitatively in regions of interest and categorized as follows: mild = 1–3 cells per high power field (HPF) (40× objective lens); moderate = 4–10 cells/HPF; or marked >10 cells/HPF. Neutrophil infiltration was categorized as follows: mild = 1–3 cells/HPF; moderate = 4–20 cells/HPF; or marked >20/HPF.
All features of interest were captured as categorical data. Each feature was summarized in a contingency table and cross-classified according to the semi-quantitative assessment of granulocyte infiltration. To test for associations, the contingency tables were analyzed using log-linear regression models in the framework of generalized estimating equations that employed an “exchangeable” correlation structure in order to account for repeated observations among patients . Each contingency table summarized region-level data such that an individual patient could contribute multiple regions to the data set. Intra-patient regional correlations were controlled for in the generalized estimating equations. All analyses were performed using R statistical software package version 3.0.2.
Patient serum processing and IgG purification
Blood was drawn from patients or healthy volunteers and IgG was isolated from sterile-filtered, heat-inactivated serum samples as previously described . For the present study, results were generated using purified IgG from five different pools prepared since 2011 (Additional file 1: Table S1). Representative results were generated from NMO patient sera pooled from 5 males and 36 females ranging in age from 14 to 79, with a median age of 48 (Additional file 2: Table S2). Control sera were pooled from age- and sex-matched donors (Additional file 3: Table S3). All treatments with human IgG were at 100 μg/mL .
Mouse primary mixed glial cultures
Mixed glial cultures were prepared from P1-P3 Balb/c mouse pups, as described . Cells were plated at 1.3 × 105 cells/cm2 on poly-L-lysine hydrobromide. After 4 days in vitro, flasks were shaken to remove microglia and oligodendroglia. The astrocyte-enriched cultures were incubated for an additional 22 days and were then replated at 5.2 × 104 cells/cm2 on poly-D-lysine. For all biochemical measurements, cells were stimulated starting at 31 days in vitro.
Immunostaining and imaging
Cells were immunostained with mouse anti-GFAP antibody (Millipore, MAB360) at 1:200 and anti-NFκB p65 antibody (Cell signaling, 8242) at 1:400, as described . Images were acquired using an LSM780 inverted confocal microscope (Carl Zeiss) and Zen software. Z-stacks were rendered into maximum intensity projections in ImageJ. All images were collected under identical conditions within a given experiment.
RNA samples were assessed by Agilent for integrity, purity, and concentration. Samples passing quality control were analyzed on Illumina mouse WG-6 v 2.0 expression BeadChips in the Mayo Clinic Medical Genome Facility Gene Expression Core. Expression data were analyzed using Excel and MatLab . Heatmaps and hierarchical clusters were derived using Gitools v2.2.2 and pathway identification was performed using Ingenuity Pathway Analysis.
Cells were serum-starved overnight prior to stimulation with NMO IgG or control IgG then lysed in RIPA buffer containing protease/phosphatase inhibitors. Cell lysates (10–30 μg) were run on 4–15 % Criterion Tris–HCl gels (Biorad). After transfer, blots were probed using anti-IκB-α (Cell Signaling 9242), anti-phosphorylated IκB-α (Cell Signaling 2895), anti-p65 (Cell Signaling 8242), anti-NUP98 (Cell Signaling 2598), or anti-tubulin (Sigma T9026) antibodies.
Following stimulation of cells, supernatants were collected, clarified, and stored as aliquots at −80 °C until analysis. Mouse CCL5, CCL2, CXCL1, and CXCL2 were detected in the supernatants using ELISA construction kits (Antigenix America).
α = 0.05 and β = 0.2 were established a priori. Post hoc power analysis was performed for all experiments and significance was only considered when power ≥0.8. Statistical analysis was performed using SigmaStat (Systat Software). Normality was determined by the Shapiro–Wilk test and normally distributed data were checked for equal variance. Parametric tests were only applied to data that were both normally distributed and of equal variance. The Student–Newman–Keuls pairwise comparison test was used for all post hoc sequential comparisons. The figures show representative results from at least two separate experiments performed in triplicate using independent cell cultures and purified IgG. Over the course of this study, five different NMO patient pools were utilized for the preparation of purified IgG (Additional file 1: Table S1). As shown in Additional file 4: Figure S1, similar results were attained using different patient serum pools.
All cell culture-based experiments were performed using materials approved by the Mayo Clinic institutional animal care and use committee. All studies were conducted in accordance with the United States Public Health Service’s Policy on Humane Care and Use of Laboratory Animals. The Mayo Clinic institutional review board approved the use of human materials. All subjects provided written informed voluntary consent after the nature and possible consequences of the study were explained.
Granulocytic infiltration in NMO pathology is not dependent on terminal complement complex formation, active demyelination, or tissue destruction
To determine whether granulocytic infiltration in NMO is dependent on formation of the terminal complement complex, demyelination, or tissue destruction, as the conventional model of NMO pathogenesis suggests, we semi-quantitatively assessed the extent of eosinophil and neutrophil infiltration in 1048 regions in 337 blocks from 23 NMO patients. In a subset of lesions, we observed granulocyte infiltration (Fig. 1a, b, e) in the absence of terminal complement complex formation, demyelinating activity, and tissue destruction (Fig. 1). C9neo served as a marker for terminal complement deposition, and although granulocyte infiltration was statistically associated with the presence of complement deposition (p = 0.012), 31 % of regions with mild infiltration, 20 % of regions with moderate infiltration, and 4 % of regions with marked infiltration were negative for C9neo (Fig. 1h). With regard to demyelinating activity, we found a statistically significant association between active demyelination and granulocytic infiltration (p < 0.001). However, the presence of granulocytes was not entirely dependent on demyelinating activity, as we observed mild, moderate, or marked infiltration in 9 % of NMO lesions devoid of demyelination (Fig. 1d, g). Finally, in regions with mild, moderate, or marked granulocyte infiltration, there was no statistically significant association between the extent of tissue damage and infiltration (p = 0.99) (Fig. 1), suggesting that granulocytic trafficking is not strictly in response to the presence or extent of tissue damage in NMO. These observations support the hypothesis that recruitment of neutrophils and eosinophils into the CNS may be one of the earliest consequences of NMO IgG binding to the surface of astrocytes. Furthermore, we observed profound astrocyte reactivity in proximity to infiltrating neutrophils and eosinophils (Fig. 1c, f), supporting our hypothesis that early astrocytic responses to NMO IgG may drive granulocytic recruitment and infiltration that precedes irreversible astrocytic death, demyelination, and tissue damage.
Stimulation with NMO IgG elicits an inflammatory and pro-granulocytic transcriptional response in astroglial cultures
Considering our observations of early granulocyte recruitment in NMO (Fig. 1), we specifically asked what constitutes the glial response to stimulation with NMO IgG and whether this response is associated with granulocytic recruitment. Previously, we reported the robust induction of an immunological response in rat astrocyte cultures to stimulation with both NMO patient serum and isolated IgG . Here, we utilized a mouse glial culture system to expand our understanding of the cellular responses to NMO IgG and to provide a platform for the identification of potentially targetable inflammatory signaling pathways that drive such responses.
The transcriptional response to astroglial stimulation with NMO IgG (NMO) for 24 h was measured using an Illumina mouse WG-6 v2.0 Beadchip (Fig. 2). Compared to cells stimulated with IgG isolated from healthy controls (CON), 3628 genes of the 22,640 genes detected on the array were significantly altered by NMO IgG (Fig. 2a), suggesting a strong transcriptional response to stimulation. A key response included the upregulation of numerous C-C and C-X-C motif chemokine genes, including CCL2, 3, 4, 5, 6, 7, and 9 and CXCL1, 2, 4, 8, 10, 12, and 16 (Fig. 2b). Consistent with our previous findings , CCL5 was upregulated 60-fold in astrocytes stimulated with NMO IgG relative to CON IgG. Other significantly upregulated genes of interest were cytokines such as IL-1α, IL-1β, IL-6, and TNFα, suggesting the induction of a broad inflammatory program in astrocytes stimulated with NMO IgG. Genes for several B cell factors, such as B cell activating factor (BAFF), a proliferation inducting ligand (APRIL), and glucocorticoid-induced tumor necrosis factor receptor-related ligand (GITRL) were also upregulated following stimulation with NMO IgG, suggesting a potential interaction between IgG-stimulated astrocytes and localized support for B cell function within the CNS. A large number of canonical NFκB-dependent and NFκB-associated transcription factors (Fig. 2c) and stress response genes (Fig. 2d) were also upregulated in astrocytes stimulated with NMO IgG. Interestingly, the transcript for RELB, the chief transcription factor associated with the alternative NFκB signaling pathway, was strongly upregulated, suggesting that multiple NFκB pathways may be involved in the glial response to NMO IgG over time. Of the stress genes induced by NMO IgG, lipocalin 2 (Lcn2) and ceruloplasmin (Cp) are canonical reactive astrocyte response factors that were strongly upregulated. Indeed, Lcn2 was increased 40-fold in astrocytes stimulated with NMO IgG relative to CON IgG. The induction of a reactive program is further supported by comparison of the NMO IgG-induced response to previously published microarray data from Barres and colleagues  characterizing the astrocyte reactome (Fig. 2e). Of note, NMO IgG stimulation induced only a subset of the reactive genes induced by lipopolysaccharide (LPS), suggesting that the NMO-specific response shares some downstream signaling events with LPS-induced reactivity, but does not utilize the same upstream initiators. This conclusion is further supported by comparison of the entire transcriptional response pattern elicited in our system by NMO IgG or CON IgG to the published response induced by LPS, middle cerebral artery occlusion (MCAO), or a phosphate-buffered saline (PBS) control (Fig. 2f) . While NMO IgG stimulation clearly induced a subset of the genes that are also induced by LPS or MCAO, a unique pattern of activation exists in response to the autoantibody. Hierarchical cluster analysis confirmed that LPS and MCAO induced reactive responses that are more closely related to each other than to the NMO IgG-induced response, but that the NMO IgG-induced response is unique from the controls (CON and PBS) (Fig. 2f). Finally, Ingenuity Pathway Analysis  revealed that NFκB signaling was a top canonical pathway engaged by stimulation with NMO IgG (Fig. 2g), highlighting the role of this pathway in the observed inflammatory and stress response. We conclude that stimulation of astroglial cultures with NMO IgG induces a distinctive reactive, inflammatory, pro-granulocytic response.
Stimulation with NMO IgG activates the canonical NFκB signaling pathway in astroglial cultures
To characterize astrocytic NFκB signaling in response to stimulation with NMO IgG, we assessed the accumulation of phosphorylated IκB-α by Western blot. Under steady-state conditions, IκB-α is complexed with the p50:p65 (RELA) heterodimer, preventing nuclear translocation and subsequent target gene transcription. Upon exposure to inflammatory signals, IκB-α is phosphorylated by IκB-α kinases (IKK), resulting in IκB-α ubiquitination and consequent targeting to the proteasome. Disassociation of phosphorylated IκB-α (pIκB-α) from the p50:p65 heterodimer exposes a nuclear localization sequence (NLS) that facilitates translocation into the nucleus and concomitant NFκB binding to the promoter region of target genes. We assessed the accumulation of pIκB-α after 20 min of TNFα stimulation as a positive control and after stimulation with NMO IgG for 30, 60, and 120 min (Fig. 3a). pIκB-α accumulation was evident in both TNFα- and NMO IgG-stimulated cells along with a corresponding decrease of total cellular IκB-α, consistent with stimulation-induced degradation. The accumulation of pIκB-α over time was observed as early as 5–15 min after stimulation with NMO IgG and continued to increase over 120 min (Fig. 3b). Critically, exposure to healthy control IgG (CON) under identical conditions did not lead to an increase in IκB-α phosphorylation at any time point (Fig. 3b). Nuclear translocation of NFκB in astrocytes (red) was determined by immunofluorescence, revealing that p65 (green) accumulated in the nucleus (blue) following TNFα stimulation for 20 min and after stimulation with NMO IgG for 60 min (Fig. 3c). NFκB nuclear translocation in response to stimulation with NMO IgG was confirmed by immunoblotting for p65 following fractionation of the cells into nuclear and cytoplasmic constituents (Fig. 3d). The nuclear marker NUP98 and the cytoplasmic marker α-tubulin were used to confirm isolation of a relatively pure nuclear fraction. An increase in nuclear p65 protein was observed following stimulation with either TNFα or NMO IgG, confirming the engagement of NFκB signaling by the autoantibody.
Given the activation of NFκB signaling in astroglial cultures stimulated with NMO IgG, we sought to identify pharmacological inhibitors that would block such signaling and provide insight into the underlying mechanisms of activation. MG132 (MG) is a peptide aldehyde that effectively blocks the proteolytic activity of the 26S proteasome complex, preventing degradation of phosphorylated IκB-α and blocking exposure of the NFκB NLS. BAY 11–7082 (BAY) is an anti-inflammatory compound that inhibits the activity of IKK to prevent phosphorylation of IκB-α. SN50 is an inhibitory peptide that contains the NLS of p50 and blocks nuclear translocation of the active NFκB complex. NFκB essential modulator (NEMO) binding peptide (NBP) is a cell-permeable synthetic peptide corresponding to the NEMO amino-terminal alpha-helical region which blocks the interactions of NEMO with IKK that are critical for activation of the IKK complex. Of note, all inhibitors were tested at a range of concentrations and time points in a standard MTT (3-(4, 5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) assay to identify non-toxic concentrations appropriate for treatment (Additional file 5: Figure S2).
Cells were pretreated for 2 h with each inhibitor and then stimulated with NMO IgG for 60 min. As expected, MG132 did not block phosphorylation of IκB-α (Fig. 3e) but did prevent the nuclear translocation of p65 in astrocytes in response to stimulation with NMO IgG (Fig. 3c). The other inhibitors prevented both IκB-α phosphorylation and p65 nuclear translocation (Fig. 3c, e), although NBP was less effective than the other inhibitors at blocking p65 nuclear translocation. The robust inhibition of IκB-α phosphorylation in NBP-treated cells coupled to some evidence of persistent p65 nuclear translocation suggests the parallel activation of an alternative NFκB pathway that is not dependent upon NEMO activation of the IKK complex. In contrast to NBP, the other three inhibitors block elements of both the canonical and alternative NFκB pathways.
Stimulation with NMO IgG induces NFκB-dependent production and release of pro-granulocytic chemokines
We tested whether astroglial cultures release pro-granulocytic chemokines in response to stimulation with NMO IgG and whether this could be blocked with NFκB inhibitors. We focused on four chemokines: CCL5, a potent chemotactic factor for eosinophils, T cells, and basophils; CCL2, an attractant for monocytes and polymorphonuclear cells; and the neutrophil chemoattractants CXCL1 and CXCL2. Using ELISAs to quantitate chemokine release into supernatants, we found that levels of all four chemokines were significantly higher following 6 or 24 h of stimulation with NMO IgG (NMO) as compared to stimulation with control IgG (CON) or in the absence of stimulation (UNT) (Fig. 4a). Levels of induction after 24 h of stimulation ranged from tens of nanograms per milliliter for CCL5, CXCL1, and CXCL2, to over 2 μg/mL for CCL2. We then measured chemokine release following 6 or 24 h of stimulation with NMO IgG after 2 h of pretreatment with the panel of NFκB inhibitors used above (Fig. 4b). These data are expressed as fold inhibition relative to cells stimulated with NMO IgG in the absence of inhibitor (a larger bar represents greater inhibition). The proteasome inhibitor MG132 blocked more than 95 % of the CCL5 response induced by stimulation with NMO IgG for 24 h and effectively reduced CCL2 and CXCL1 production at levels exceeding tenfold inhibition. The IKK inhibitor BAY 11–7082 was more effective than MG132 at blocking the production of CCL2 and CXCL1, while SN50 and NBP only weakly inhibited production of any of the four factors. Little inhibition of CXCL2 was observed with any of the inhibitors. While SN50 pretreatment induced about 80 % inhibition of CXCL2 production in the 6-h stimulation condition, this effect was overcome by 24 h. The overall lack of inhibition for CXCL2 production mediated by MG132 and BAY 11–7082 suggests that this chemokine is induced by NMO IgG via signaling pathways that largely do not involve NFκB. In contrast, NFκB signaling selectively drives the production of CCL2, CCL5, and CXCL1 following stimulation of astroglia with NMO IgG.
Bortezomib and PR-957 inhibit NFκB signaling and pro-granulocytic chemokine release in response to stimulation with NMO IgG
Although MG132, a constitutive proteasome inhibitor, was the least specific NFκB inhibitor that we examined, it showed effective suppression of NMO IgG-induced NFκB signaling and concomitant chemokine release. Considering the successful use of proteasome inhibitors in other diseases, we examined the possible therapeutic relevance of proteasome inhibition in NMO. We tested bortezomib, a dipeptide boronate, approved for treatment of multiple myeloma , and the highly selective immunoproteasome inhibitor PR-957, a tripeptide epoxyketone, shown to be efficacious in mouse models of rheumatoid arthritis  and SLE . As with MG132, treatment with either bortezomib or PR-957 before stimulation with NMO IgG resulted in the cellular accumulation of pIκB-α (Fig. 5a) due to inhibition of proteasome-mediated degradation. Critically, however, treatment with bortezomib or PR-957 suppressed the NMO IgG-induced nuclear accumulation of NFκB (Fig. 5b) and robustly inhibited the release of CCL2, CCL5, and CXCL1 (Fig. 5c). Indeed, the suppression of CCL5 release by PR-957 approached 99 % inhibition. As with the other NFκB inhibitors, neither bortezomib nor PR-957 inhibited CXCL2 production. These data suggest that inhibition of either the proteasome or immunoproteasome has profound effects on astroglial responses to NMO IgG, leading us to conclude that such inhibition may serve as a therapeutically relevant strategy for suppressing early pathogenic events in NMO.
It is clear that NMO is associated with a unique granulocytic “footprint.” NMO patients often have CSF pleocytosis that includes the presence of polymorphonuclear leukocytes [23–25], an increase in pro-granulocytic chemokines in the CSF [25–28], and notable accumulation of granulocytes in lesions [8, 29, 30] (Fig. 1). In the current conventional model of NMO pathogenesis, terminal complement deposition following binding of NMO IgG to astrocyte endfeet precipitates damage and concomitant granulocyte recruitment into the CNS. This model considers granulocyte recruitment as a downstream effect of terminal complement complex formation and tissue injury. However, terminal complement deposition is not a universal feature of all NMO lesions, and therapeutics targeting complement inhibition are efficacious in only some patients , suggesting that complement-mediated tissue destruction in NMO lesions may represent only one possible pathogenic mechanism. We contend that there are also early, sub-lytic, and highly inflammatory astrocytic responses to NMO IgG that contribute to early granulocytic recruitment. In our model, granulocyte recruitment is an upstream cause of injury and is triggered by astrocyte signaling, rather than astrocyte death. We observed clear granulocytic accumulation in NMO patient tissue that was not dependent on complement deposition, active demyelination, or tissue destruction, along with evidence of reactive astrocytes in these regions (Fig. 1). Building on these observations, we utilized an astroglial culture system to examine the rapid cellular and molecular events induced by stimulation with NMO IgG in the absence of exogenous complement. We found that such stimulation engaged a highly inflammatory and reactive astrocyte transcriptional program that included the upregulation of numerous genes encoding pro-granulocytic chemokines (Fig. 2). Further analysis of the transcriptional program initiated by stimulation with NMO IgG revealed that the NFκB signaling pathway was significantly upregulated. Confirming engagement of the NFκB signaling pathway, we observed phosphorylation of IκB-α and nuclear translocation of the NFκB transcription factor p65 in astrocytes following stimulation with NMO IgG. Treatment with a spectrum of NFκB inhibitors effectively blocked these responses (Fig. 3). Finally, we found that the potent pro-granulocytic chemokines CCL5, CCL2, CXCL1, and CXCL2 were released by cells following stimulation with NMO IgG, and that the release of all except CXCL2 was effectively blocked by inhibition of NFκB (Fig. 4), including inhibition using clinically relevant proteasome inhibitors (Fig. 5).
NFκB is a well-studied master regulator of autoimmunity that is crucial for both inflammation and immune tolerance. While NFκB activation occurs transiently in the course of a normal immune response, chronic activation of this signaling pathway in target tissues is associated with pathogenesis in many autoimmune diseases . Importantly, therapeutic targeting of the NFκB signaling pathway is clinically feasible and may provide a strategy for controlling the transition from normal immunity to autoimmunity. In our model, proteasome inhibition by MG132, bortezomib, and PR-957 effectively blocked the release of several pro-granulocytic chemokines (Figs. 3, 4, and 5). The efficacy of bortezomib is of interest due to its current therapeutic use in multiple animal models and in patients. Bortezomib treatment results in decreased inflammation in animal models of contact hypersensitivity , allograft rejection , and SLE . Bortezomib is an approved therapy for multiple myeloma patients where treatment inhibits NFκB and induces myeloma cell apoptosis . Bortezomib was also recently shown to halt autoantibody production and kill plasma cells in a murine model of myasthenia gravis . Of note, long-lived plasma cells, due to the metabolic demand required by a high rate of IgG production, are particularly sensitive to proteasome inhibition  but are generally resistant to immunosuppressive drugs, including anti-CD20 antibodies such as rituximab that are currently used to functionally inhibit or deplete B cell populations . Considering the upregulation of B cell-related factors and other inflammatory drivers in astrocytes stimulated with NMO IgG (Fig. 2) and the published evidence for intrathecal production of IgG in NMO patients [39, 40], therapeutic proteasome inhibition may provide the dual advantage of simultaneously targeting both the inflammatory astrocytic response and plasma cell survival—essentially blocking both the stimulator and the concomitant stimulation. Furthermore, the clinical efficacy of bortezomib coupled with immunomodulators such as lenalidomide or methylprednisolone in transplant and multiple myeloma patients suggests that combined drug strategies may confer significant therapeutic advantage in complex inflammatory diseases such as NMO.
One complication with bortezomib is the potential for peripheral neuropathy at therapeutic doses. Therefore, we expanded our study to include testing of PR-957 (ONX-914), an immunoproteasome inhibitor that has shown efficacy in an animal model of rheumatoid arthritis (RA) at far lower doses than are employed for the proteasome inhibitor carfilzomib . Similar results were found in mouse models of colitis, MS , and SLE , where PR-957 treatment significantly inhibited the production of pro-inflammatory cytokines and reduced the severity of disease symptoms. The immunoproteasome is mostly found in cells of the immune system but can be expressed in other cells, including astrocytes, upon exposure to various stressors . In a pro-inflammatory environment, virtually all newly synthesized 20S proteasomes incorporate inducible subunits associated with the immunoproteasome rather than constitutive subunits . Treatment with PR-957 in our system resulted in efficient blockade of NFκB p65 translocation in astrocytes and inhibited the release of CCL5, CCL2, and CXCL1 (Fig. 5). These results suggest that astrocytic inflammatory responses in patients with NMO may be targeted by specific inhibition of the immunoproteasome. Finally, evidence that immunoproteasome inhibition also suppresses the production of autoantibodies  and selectively targets plasma cell survival  further suggests that such a strategy may confer significant disease-modifying effects in patients with NMO. We propose that the use of drugs such as PR-957 in NMO patients may reduce or block disease pathogenesis via parallel pathways that reduce astrocyte reactivity, suppress CNS inflammation, block granulocyte recruitment, reduce production of NMO IgG, and deplete autoantibody-producing plasma cells that are resistant to current therapies such as rituximab .
One limitation of our study is the absence of a suitable animal model in which to test our hypothesis. Existing mouse models of NMO rely on the concurrent initiation of active (via immunization) or passive (via transfer of myelin-specific T cells) EAE [44–46], co-injection of NMO IgG and human complement factors into the CNS [47–49], or injection of the proinflammatory cytokine IL-1β directly into the brain to drive granulocyte recruitment and complement factor production . The “success” of these models is due to inflammatory modulation of the blood–brain barrier and direct induction of complement-mediated pathology. Unfortunately, the use of any of these models would compromise the analysis of early astrocytic responses to NMO IgG and are therefore not suitable to test our hypothesis. Another area in which a suitable animal model is necessary but currently unavailable is the analysis of antibody-induced granulocytic recruitment in the absence of overt tissue destruction or complement deposition. A pathogenic role for neutrophils in CNS autoimmune disease was suggested by the occurrence of severe exacerbations in some MS and NMO patients given recombinant granulocyte-colony stimulating factor (G-CSF) which stimulates the function and proliferation of granulocytes . Although the presence of neutrophils in typical MS lesions is rare, studies in the EAE model indicate that neutrophils are found at high frequency in the CNS parenchyma during the preclinical phase, increase dramatically in the meninges both preclinically and at relapse, and may potentiate the formation of lesions by mediating the breakdown of the blood–brain or blood-cerebrospinal fluid barriers or by stimulating the maturation of local antigen-presenting cells . With regard to eosinophils, degranulated cells are found in both NMO meninges and early lesions . While historically recognized as endstage effectors in parasitic immunity and allergic diseases, it is quite likely that eosinophils directly contribute to tissue injury in NMO via release of cytokines, chemokines, lipid mediators, oxygen burst components, and cytotoxic granule cationic proteins . Elucidating and targeting the mechanisms that recruit granulocytes to early NMO lesions and discovering strategies to inhibit the initial damage triggered by these cells will require the creation of animal models that do not involve the tautological induction of complement-dependent injury or the initiation of inflammation that does not build from a reactive astrocyte response.
The current study provides evidence for an expanded model of NMO pathogenesis and supports the possible therapeutic use of proteasome and immunoproteasome inhibitors in patients with NMO. Although terminal complement deposition-driven granulocyte recruitment and lytic tissue destruction are definite components of NMO pathogenesis, considerable clinical and histopathological evidence indicates that NMO lesions are potentially reversible [8, 54]. Our findings suggest that early events in disease pathogenesis may involve NMO IgG-induced NFκB-dependent signaling in astrocytes that results in the creation of a pro-granulocytic inflammatory milieu, leading to lesion development that is multimodal and amenable to therapeutic intervention at several points. While complement inhibition will prevent the most tissue destructive aspects of NMO lesion development, upstream interventions that impact the reactive and inflammatory astrocyte response, reduce granulocyte infiltration, and short-circuit the functionally disruptive genesis of acute lesions are needed to reverse symptoms and prevent irreversible damage in NMO patients.
Pereira WL, Reiche EM, Kallaur AP, Kaimen-Maciel DR. Epidemiological, clinical, and immunological characteristics of neuromyelitis optica: A review. J Neurol Sci. 2015;355(1–2):7–17. doi:10.1016/j.jns.2015.05.034.
Jarius S, Wildemann B, Paul F. Neuromyelitis optica: clinical features, immunopathogenesis and treatment. Clin Exp Immunol. 2014;176(2):149–64. doi:10.1111/cei.12271.
Lennon VA, Kryzer TJ, Pittock SJ, Verkman AS, Hinson SR. IgG marker of optic-spinal multiple sclerosis binds to the aquaporin-4 water channel. J Exp Med. 2005;202(4):473–7. doi:10.1084/jem.20050304.
Verkman AS, Phuan PW, Asavapanumas N, Tradtrantip L. Biology of AQP4 and anti-AQP4 antibody: therapeutic implications for NMO. Brain Pathol. 2013;23(6):684–95. doi:10.1111/bpa.12085.
Papadopoulos MC, Verkman AS. Aquaporin water channels in the nervous system. Nat Rev Neurosci. 2013;14(4):265–77. doi:10.1038/nrn3468.
Pittock SJ, Weinshenker BG, Lucchinetti CF, Wingerchuk DM, Corboy JR, Lennon VA. Neuromyelitis optica brain lesions localized at sites of high aquaporin 4 expression. Arch Neurol. 2006;63(7):964–8. doi:10.1001/archneur.63.7.964.
Howe CL, Kaptzan T, Magana SM, Ayers-Ringler JR, LaFrance-Corey RG, Lucchinetti CF. Neuromyelitis optica IgG stimulates an immunological response in rat astrocyte cultures. Glia. 2014;62(5):692–708. doi:10.1002/glia.22635.
Lucchinetti CF, Guo Y, Popescu BF, Fujihara K, Itoyama Y, Misu T. The pathology of an autoimmune astrocytopathy: lessons learned from neuromyelitis optica. Brain Pathol. 2014;24(1):83–97. doi:10.1111/bpa.12099.
Popescu BF, Lennon VA, Parisi JE, Howe CL, Weigand SD, Cabrera-Gomez JA, et al. Neuromyelitis optica unique area postrema lesions: nausea, vomiting, and pathogenic implications. Neurology. 2011;76(14):1229–37. doi:10.1212/WNL.0b013e318214332c. WNL.0b013e318214332c [pii].
Nytrova P, Potlukova E, Kemlink D, Woodhall M, Horakova D, Waters P, et al. Complement activation in patients with neuromyelitis optica. J Neuroimmunol. 2014;274(1–2):185–91. doi:10.1016/j.jneuroim.2014.07.001.
Papadopoulos MC, Bennett JL, Verkman AS. Treatment of neuromyelitis optica: state-of-the-art and emerging therapies. Nat Rev Neurol. 2014;10(9):493–506. doi:10.1038/nrneurol.2014.141.
Popescu BF, Lucchinetti CF. Pathology of demyelinating diseases. Annu Rev Pathol. 2012;7:185–217. doi:10.1146/annurev-pathol-011811-132443.
Burda JE, Sofroniew MV. Reactive gliosis and the multicellular response to CNS damage and disease. Neuron. 2014;81(2):229–48. doi:10.1016/j.neuron.2013.12.034.
Sofroniew MV. Astrocyte barriers to neurotoxic inflammation. Nat Rev Neurosci. 2015;16(5):249–63. doi:10.1038/nrn3898.
Pekny M, Wilhelmsson U, Pekna M. The dual role of astrocyte activation and reactive gliosis. Neurosci Lett. 2014;565:30–8. doi:10.1016/j.neulet.2013.12.071.
Zeger SL, Liang KY. Longitudinal data analysis for discrete and continuous outcomes. Biometrics. 1986;42(1):121–30.
Wang F, Smith NA, Xu Q, Fujita T, Baba A, Matsuda T, et al. Astrocytes modulate neural network activity by Ca(2)+−dependent uptake of extracellular K+. Sci Signal. 2012;5(218):ra26. doi:10.1126/scisignal.2002334.
Zamanian JL, Xu L, Foo LC, Nouri N, Zhou L, Giffard RG, et al. Genomic analysis of reactive astrogliosis. J Neurosci. 2012;32(18):6391–410. doi:10.1523/JNEUROSCI.6221-11.2012.
Kramer A, Green J, Pollard Jr J, Tugendreich S. Causal analysis approaches in Ingenuity Pathway Analysis. Bioinformatics. 2014;30(4):523–30. doi:10.1093/bioinformatics/btt703.
Richardson PG, Barlogie B, Berenson J, Singhal S, Jagannath S, Irwin D, et al. A phase 2 study of bortezomib in relapsed, refractory myeloma. N Engl J Med. 2003;348(26):2609–17. doi:10.1056/NEJMoa030288.
Muchamuel T, Basler M, Aujay MA, Suzuki E, Kalim KW, Lauer C, et al. A selective inhibitor of the immunoproteasome subunit LMP7 blocks cytokine production and attenuates progression of experimental arthritis. Nat Med. 2009;15(7):781–7. doi:10.1038/nm.1978.
Ichikawa HT, Conley T, Muchamuel T, Jiang J, Lee S, Owen T, et al. Beneficial effect of novel proteasome inhibitors in murine lupus via dual inhibition of type I interferon and autoantibody-secreting cells. Arthritis Rheum. 2012;64(2):493–503. doi:10.1002/art.33333.
Jarius S, Paul F, Franciotta D, Ruprecht K, Ringelstein M, Bergamaschi R, et al. Cerebrospinal fluid findings in aquaporin-4 antibody positive neuromyelitis optica: results from 211 lumbar punctures. J Neurol Sci. 2011;306(1–2):82–90. doi:10.1016/j.jns.2011.03.038.
Milano E, Di Sapio A, Malucchi S, Capobianco M, Bottero R, Sala A, et al. Neuromyelitis optica: importance of cerebrospinal fluid examination during relapse. Neurol Sci. 2003;24(3):130–3. doi:10.1007/s10072-003-0098-y.
Matsushita T, Tateishi T, Isobe N, Yonekawa T, Yamasaki R, Matsuse D, et al. Characteristic cerebrospinal fluid cytokine/chemokine profiles in neuromyelitis optica, relapsing remitting or primary progressive multiple sclerosis. PLoS ONE. 2013;8(4), e61835. doi:10.1371/journal.pone.0061835.
Michael BD, Elsone L, Griffiths MJ, Faragher B, Borrow R, Solomon T, et al. Post-acute serum eosinophil and neutrophil-associated cytokine/chemokine profile can distinguish between patients with neuromyelitis optica and multiple sclerosis; and identifies potential pathophysiological mechanisms - a pilot study. Cytokine. 2013;64(1):90–6. doi:10.1016/j.cyto.2013.07.019.
Uzawa A, Mori M, Arai K, Sato Y, Hayakawa S, Masuda S, et al. Cytokine and chemokine profiles in neuromyelitis optica: significance of interleukin-6. Mult Scler. 2010;16(12):1443–52. doi:10.1177/1352458510379247.
Uzawa A, Mori M, Kuwabara S. Cytokines and chemokines in neuromyelitis optica: pathogenetic and therapeutic implications. Brain Pathol. 2014;24(1):67–73. doi:10.1111/bpa.12097.
Correale J, Fiol M. Activation of humoral immunity and eosinophils in neuromyelitis optica. Neurology. 2004;63(12):2363–70.
Lucchinetti CF, Mandler RN, McGavern D, Bruck W, Gleich G, Ransohoff RM, et al. A role for humoral mechanisms in the pathogenesis of Devic’s neuromyelitis optica. Brain. 2002;125(Pt 7):1450–61.
Pittock SJ, Lennon VA, McKeon A, Mandrekar J, Weinshenker BG, Lucchinetti CF, et al. Eculizumab in AQP4-IgG-positive relapsing neuromyelitis optica spectrum disorders: an open-label pilot study. Lancet Neurol. 2013;12(6):554–62. doi:10.1016/S1474-4422(13)70076-0.
Sun SC, Chang JH, Jin J. Regulation of nuclear factor-kappaB in autoimmunity. Trends Immunol. 2013;34(6):282–9. doi:10.1016/j.it.2013.01.004.
Yanaba K, Yoshizaki A, Muroi E, Hara T, Ogawa F, Shimizu K, et al. The proteasome inhibitor bortezomib inhibits T cell-dependent inflammatory responses. J Leukoc Biol. 2010;88(1):117–22. doi:10.1189/jlb.1009666.
Sun K, Welniak LA, Panoskaltsis-Mortari A, O'Shaughnessy MJ, Liu H, Barao I, et al. Inhibition of acute graft-versus-host disease with retention of graft-versus-tumor effects by the proteasome inhibitor bortezomib. Proc Natl Acad Sci U S A. 2004;101(21):8120–5. doi:10.1073/pnas.0401563101.
Neubert K, Meister S, Moser K, Weisel F, Maseda D, Amann K, et al. The proteasome inhibitor bortezomib depletes plasma cells and protects mice with lupus-like disease from nephritis. Nat Med. 2008;14(7):748–55. doi:10.1038/nm1763.
Merin NM, Kelly KR. Clinical use of proteasome inhibitors in the treatment of multiple myeloma. Pharm. 2014;8(1):1–20. doi:10.3390/ph8010001.
Gomez AM, Willcox N, Vrolix K, Hummel J, Nogales-Gadea G, Saxena A, et al. Proteasome inhibition with bortezomib depletes plasma cells and specific autoantibody production in primary thymic cell cultures from early-onset myasthenia gravis patients. J Immunol. 2014;193(3):1055–63. doi:10.4049/jimmunol.1301555.
DiLillo DJ, Hamaguchi Y, Ueda Y, Yang K, Uchida J, Haas KM, et al. Maintenance of long-lived plasma cells and serological memory despite mature and memory B cell depletion during CD20 immunotherapy in mice. J Immunol. 2008;180(1):361–71.
Bennett JL, Lam C, Kalluri SR, Saikali P, Bautista K, Dupree C, et al. Intrathecal pathogenic anti-aquaporin-4 antibodies in early neuromyelitis optica. Ann Neurol. 2009;66(5):617–29. doi:10.1002/ana.21802.
Kowarik MC, Dzieciatkowska M, Wemlinger S, Ritchie AM, Hemmer B, Owens GP, et al. The cerebrospinal fluid immunoglobulin transcriptome and proteome in neuromyelitis optica reveals central nervous system-specific B cell populations. J Neuroinflammation. 2015;12:19. doi:10.1186/s12974-015-0240-9.
Basler M, Mundt S, Muchamuel T, Moll C, Jiang J, Groettrup M, et al. Inhibition of the immunoproteasome ameliorates experimental autoimmune encephalomyelitis. EMBO Mol Med. 2014;6(2):226–38. doi:10.1002/emmm.201303543.
Jansen AH, Reits EA, Hol EM. The ubiquitin proteasome system in glia and its role in neurodegenerative diseases. Front Mol Neurosci. 2014;7:73. doi:10.3389/fnmol.2014.00073.
Kisselev AF, Groettrup M. Subunit specific inhibitors of proteasomes and their potential for immunomodulation. Curr Opin Chem Biol. 2014;23:16–22. doi:10.1016/j.cbpa.2014.08.012.
Bradl M, Misu T, Takahashi T, Watanabe M, Mader S, Reindl M, et al. Neuromyelitis optica: pathogenicity of patient immunoglobulin in vivo. Ann Neurol. 2009;66(5):630–43. doi:10.1002/ana.21837.
Herges K, de Jong BA, Kolkowitz I, Dunn C, Mandelbaum G, Ko RM, et al. Protective effect of an elastase inhibitor in a neuromyelitis optica-like disease driven by a peptide of myelin oligodendroglial glycoprotein. Mult Scler. 2012;18(4):398–408. doi:10.1177/1352458512440060.
Jones MV, Huang H, Calabresi PA, Levy M. Pathogenic aquaporin-4 reactive T cells are sufficient to induce mouse model of neuromyelitis optica. Acta Neuropathol Commun. 2015;3:28. doi:10.1186/s40478-015-0207-1.
Saadoun S, Waters P, MacDonald C, Bell BA, Vincent A, Verkman AS, et al. Neutrophil protease inhibition reduces neuromyelitis optica-immunoglobulin G-induced damage in mouse brain. Ann Neurol. 2012;71(3):323–33. doi:10.1002/ana.22686.
Asavapanumas N, Ratelade J, Papadopoulos MC, Bennett JL, Levin MH, Verkman AS. Experimental mouse model of optic neuritis with inflammatory demyelination produced by passive transfer of neuromyelitis optica-immunoglobulin G. J Neuroinflammation. 2014;11:16. doi:10.1186/1742-2094-11-16.
Zhang H, Verkman AS. Longitudinally extensive NMO spinal cord pathology produced by passive transfer of NMO-IgG in mice lacking complement inhibitor CD59. J Autoimmun. 2014;53:67–77. doi:10.1016/j.jaut.2014.02.011.
Kitic M, Hochmeister S, Wimmer I, Bauer J, Misu T, Mader S, et al. Intrastriatal injection of interleukin-1 beta triggers the formation of neuromyelitis optica-like lesions in NMO-IgG seropositive rats. Acta Neuropathol Commun. 2013;1(1):5. doi:10.1186/2051-5960-1-5.
Jacob A, Saadoun S, Kitley J, Leite M, Palace J, Schon F, et al. Detrimental role of granulocyte-colony stimulating factor in neuromyelitis optica: clinical case and histological evidence. Mult Scler. 2012;18(12):1801–3. doi:10.1177/1352458512443994.
Walker-Caulfield ME, Hatfield JK, Brown MA. Dynamic changes in meningeal inflammation correspond to clinical exacerbations in a murine model of relapsing-remitting multiple sclerosis. J Neuroimmunol. 2015;278:112–22. doi:10.1016/j.jneuroim.2014.12.009.
Rosenberg HF, Dyer KD, Foster PS. Eosinophils: changing perspectives in health and disease. Nat Rev Immunol. 2013;13(1):9–22. doi:10.1038/nri3341.
Magana SM, Matiello M, Pittock SJ, McKeon A, Lennon VA, Rabinstein AA, et al. Posterior reversible encephalopathy syndrome in neuromyelitis optica spectrum disorders. Neurology. 2009;72(8):712–7. doi:10.1212/01.wnl.0000343001.36493.ae.
The authors thank Vanda Lennon, Sean Pittock, and John Schmeling for providing invaluable reagents and technical assistance with the collection and preparation of patient samples. They also thank the Mayo Medical Facility Gene Expression Core and the Biospecimens Accessioning and Processing Core for assistance with the microarray analysis and access to healthy human control samples, respectively. This research was supported by funding from the Guthy-Jackson Charitable Foundation and the Mayo Clinic Center for Multiple Sclerosis and Demyelinating Diseases to C.F. Lucchinetti and C.L. Howe. M. Caulfield is supported by an NIH training grant (T32 AI07047) through the Mayo Clinic Department of Immunology.
Dr. Lucchinetti may accrue revenue for a patent regarding AQP4-associated antibodies for the diagnosis of neuromyelitis optica; she receives royalties from the publication of Blue Books of Neurology: MS 3 (Saunders Elsevier, 2010); she has received personal compensation for consultation services from Biogen-Idec; and she receives research support from Novartis, Alexion, and Biogen (principal investigator). Dr. Howe receives research support from Alexion and Sanofi (principal investigator). The other authors report no conflicting financial or non-financial interests. The funders of the present work had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
MEW-C performed the experiments, analyzed the data, prepared the figures, and wrote the manuscript. YG performed the experiments, analyzed the data, and prepared the figures. RKJ and CBM provided technical support for the experiments. PDF-G provided statistical support and analyzed the data. CFL designed the experiments, analyzed the data, and wrote the manuscript. CLH designed the experiments, analyzed the data, prepared the figures, and wrote the manuscript. All authors read and approved the final manuscript.
Table S1. NMO serum pools used in this study. (PDF 28.4 kb)
Representative NMO serum pool. NMO patient sera were pooled from 5 males and 36 females ranging in age from 14 to 79, with a median age of 48. (PDF 37.4 kb)
Control sera were pooled from age- and sex-matched donors. (PDF 37.9 kb)
Astrocyte responses are independent of NMO serum pool provenence. Historical results generated using multiple different pools of NMO patient serum indicate that the NFκB response and chemokine production triggered by NMO IgG stimulation are not restricted to a specific NMO patient pool. Astrocytes were stimulated for 60 min with 100 µg/mL purified CON IgG (A) or NMO IgG (B) from serum pools prepared in 2012 (see Table S1). Only the NMO IgG induced nuclear localization of NFκB. Green = NFκB; red = GFAP. (C) Comparison of CCL5 release from astrocytes, as assessed by ELISA, following stimulation with pooled serum prepared in 2013 (see Table S1) or IgG purified from these pools. Only NMO serum and purified NMO IgG induced CCL5 production above untreated (UNT) levels. (D) The impact of proteasome inhibition (MG-132) and NFκB inhibition (BAY 11-7082) on CCL2 production in response to stimulation with NMO IgG purified from a 2014 NMO serum pool (see Table S1). (E) Evidence of IκB phosphorylation at 45 and 60 min after treatment with NMO IgG purified from a 2012 NMO patient serum pool (see Table S1). Control IgG (CON) has no impact on IκB phosphorylation. By way of comparison, the majority of figures shown in the main manuscript are representative of treatments with serum pools prepared in 2014 and 2015. (PDF 276 kb)
Assessment of cell viability during NFκB and proteasome inhibitor treatment. A standard colorimetric MTT assay was used to assess cell viability following treatment with different concentrations of the NFκB inhibitors employed in our study. (A) Cells were exposed to high concentrations (10, 50, 100 µM) of MG132, BAY 11-7082, NBP, and SN50 for 24 hours. (B) Cell viability was determined using an extended concentration curve (shown in µM) and multiple time points (2, 6, 24 hours) for BAY 11-7082, NBP, SN50, bortezomib and PR-957. Data are representative of 1-2 separate experiments performed in duplicate or triplicate. Each dot represents an individual well. Percent viability was calculated as (sample absorbance/untreated absorbance)*100. (PDF 116 kb)
About this article
Cite this article
Walker-Caulfield, M.E., Guo, Y., Johnson, R.K. et al. NFκB signaling drives pro-granulocytic astroglial responses to neuromyelitis optica patient IgG. J Neuroinflammation 12, 185 (2015). https://doi.org/10.1186/s12974-015-0403-8
- Reactive astrocyte