Skip to main content

The impact of regional astrocyte interferon-γ signaling during chronic autoimmunity: a novel role for the immunoproteasome

Abstract

Background

In early autoimmune neuroinflammation, interferon (IFN)γ and its upregulation of the immunoproteasome (iP) is pathologic. However, during chronic multiple sclerosis (MS), IFNγ has protective properties. Although dysregulation of the iP has been implicated in neurodegeneration, its function remains to be fully elucidated. Here, we demonstrate that IFNγ signaling in regional astrocytes induces the iP and promotes protection of the CNS during chronic autoimmunity.

Methods

In a multiple sclerosis (MS) brain, we evaluated mRNA expression and labeled postmortem MS brainstem and spinal cord for iP subunits and indicators of oxidative stress. Primary regional human astrocytes were analyzed for iP regulation and function by quantitative reverse transcription-polymerase chain reaction (qRT-PCR), Western blot, OxyBlot, and reactive oxygen species and caspase activity detection assays. Following immunization with myelin oligodendrocyte glycoprotein (MOG)35-55, the role of IFNγ signaling and the iP during chronic experimental autoimmune encephalomyelitis (EAE) were assessed using pharmacologic inhibition of the iP and genetic interruption of IFNγ signaling specifically in astrocytes. Central nervous system (CNS) tissues were analyzed by immunohistochemistry (IHC) and immunofluorescence, and cell-specific colocalization was quantified.

Results

In MS tissue, iP expression was enhanced in the spinal cord compared to brainstem lesions, which correlated with a decrease in oxidative stress. In vitro, IFNγ stimulation enhanced iP expression, reduced reactive oxygen species burden, and decreased oxidatively damaged and poly-ubiquitinated protein accumulation preferentially in human spinal cord astrocytes, which was abrogated with the use of the iP inhibitor, ONX 0914. During the chronic phase of an MS animal model, EAE, ONX 0914 treatment exacerbated the disease and led to increased oxidative stress and poly-ubiquitinated protein buildup. Finally, mice with astrocyte-specific loss of the IFNγ receptor exhibited worsened chronic EAE associated with reduced iP expression, enhanced lesion size and oxidative stress, and poly-ubiquitinated protein accumulation in astrocytes.

Conclusions

Taken together, our data reveal a protective role for IFNγ in chronic neuroinflammation and identify a novel function of the iP in astrocytes during CNS autoimmunity.

Introduction

Multiple sclerosis (MS) is the most common chronic inflammatory and neurodegenerative disease of the central nervous system (CNS) [1]. During the pathogenesis of MS, there is immune cell infiltration, demyelination, and reactive gliosis within CNS lesions in multiple regions [2]. Relapsing-remitting MS (RRMS) is a subtype that affects approximately 85% of patients and is characterized by episodic periods of neurological dysfunction, often associated with inflammation, followed by partial or complete recovery. A significant proportion of these patients go on to develop secondary progressive MS (SPMS), during which they have fewer remissions and increasing atrophy, correlating with progressive disability [3, 4]. Primary progressive MS (PPMS), a third subtype of MS, affects approximately 15% of patients and is associated with continuous, progressive loss of neurological function after initial diagnosis, without periods of remission [5, 6]. Of note, it is thought that the pathology associated with RRMS has a significant inflammatory component, while in SPMS and PPMS, inflammation is relatively limited [6]. Thus, it is not surprising that the 12 immunomodulatory, FDA-approved therapies for RRMS [7] have limited effectiveness in SPMS and PPMS patients [8,9,10] and in some cases have resulted in patient worsening [11, 12]. Indeed, neutralizing specific inflammatory cytokines in MS patients resulted in exacerbated neurological deficits [13] without reducing lesion load [14], suggesting a complex and potentially protective role for inflammatory cytokines during chronic MS that is not fully understood.

Astrocytes are the most numerous cell type in the CNS and are found in and around MS lesions. Although they have long been considered bystanders of MS pathology, their role in the initiation and resolution of disease is becoming more appreciated [15, 16]. During MS and experimental autoimmune encephalomyelitis (EAE), an animal model of MS, astrocytes are known to exhibit regional heterogeneity in gene expression and response to inflammation [17,18,19]. Indeed, ablation of astrocytes following several types of CNS injury leads to sustained inflammation, impaired repair, and increased neurodegeneration [20,21,22,23,24,25,26,27,28,29], suggesting that a diverse astrocytic response is critical in healthy tissue preservation and support, minimizing CNS bystander damage during neuroinflammation. However, during chronic MS, inflammation is largely overlooked as it is thought to have a lesser role, especially in SPMS and PPMS patients. Thus, relatively little is known about how regionally distinct astrocytes respond to chronic inflammation to facilitate damage control and recovery.

The role of the cytokine interferon (IFN)γ in MS and EAE has been a paradox for more than 3 decades. Many early studies describe a solely pro-inflammatory and pathologic function in the disease [30, 31]. However, more recent evidence supports additional protective roles, particularly in chronic stages, suggesting IFNγ has complex, stage-dependent pleiotropic effects in MS and EAE [32,33,34,35,36,37,38,39]. In EAE, systemic or intraventricular administration of IFNγ in mice and marmosets during chronic phases reduced disease severity, demyelination, and mortality [40,41,42] and significantly delayed relapses in a murine model of chronic-relapsing EAE [43]. These studies were corroborated by eliminating IFNγ signaling using genetic deletion of Ifng or Ifngr1, which resulted in higher susceptibility to EAE, increased incidence, more extensive inflammation, encompassing both the spinal cord and hindbrain, and exacerbated disease compared to wild-type (WT) animals [44,45,46,47,48,49,50,51,52]. Using a signaling deficient dominant-negative Ifngr1 driven by the Gfap promoter, the protective effects of IFNγ signaling during chronic EAE was linked to astrocytes [53]. While follow-up studies indicate these effects may be due to altered cytokine release influencing microglia [54], the astrocyte-specific mechanisms of IFNγ-mediated protection are not defined.

Our study demonstrates that IFNγ signaling in astrocytes mediates protection during chronic autoimmune neuroinflammation preferentially in the spinal cord through induction of the immunoproteasome (iP). Given that the role of the iP in the CNS is largely unexplored and may have a neuroprotective function in astrocytes, further understanding of the iP may have therapeutic benefit for chronic MS patients for which treatment options are severely limited. In established MS, the prevalence of spinal cord abnormalities is 75–90% [55, 56]. Spinal cord lesions and atrophy are considered primary hallmarks of disability accumulation [57,58,59], and since lesions in the spinal cord are more likely to result in disabling symptoms compared to those in the brain [60], a spinal cord-specific treatment modality would be particularly beneficial. Our study suggests that the iP is a potential mediator of protection during chronic CNS autoimmunity following astrocyte IFNγ signaling, and identification of an endogenous inhibitor of the iP might represent a novel therapeutic target that would benefit chronic MS patients with specific patterns of neuroinflammation. In summary, these findings advance our understanding of the astrocyte adaptive immune response during chronic CNS autoimmunity, identify a regionally distinct protective role for astrocytes, and suggest that defining upstream targets that modulate iP expression would facilitate the identification of new targets for the treatment of SPMS and PPMS patients.

Materials and methods

Human tissue immunohistochemistry (IHC)

Brainstem and spinal cord tissue from MS patients were collected according to the established rapid autopsy protocol approved by the Cleveland Clinic Institutional Review Board [61]. Patient information for microarray data is as previously published [62]. Patient tissue (Table 1) was removed, fixed in 4% paraformaldehyde, and sectioned for IHC analysis. Demyelinated lesions were identified by immunostaining with proteolipid protein (PLP) as described previously [63, 64] and followed by collection of subsequent sections for immunoproteasome and astrocyte labeling. Antigen retrieval was performed using 10 μM citrate buffer and boiling briefly. Sections were blocked with 3% goat serum and 0.01% Triton X-100 (Sigma-Aldrich) for 1 h at room temperature and then exposed to antibodies specific for human LMP7 (ThermoFisher Scientific; MA5-15890) or PRDX6 (Abcam; ab59543) and GFAP (Invitrogen; 13-0300) for 4 days at 4 °C. Sections were then washed with PBS-Tween 20, and secondary antibodies conjugated to Alexa Fluor 488 or 555 (ThermoFisher Scientific) were applied for 1 h at room temperature. Sections were then treated with 0.3% sudan black in 70% ethanol for 3 min, imaged using the 20 × objective of a confocal microscope LSM 800 (Carl Zeiss), and analyzed using ImageJ (NIH).

Table 1 MS patient demographics

Human astrocytes

Primary adult human brainstem and spinal cord astrocytes were obtained from ScienCell Laboratories and grown according to provided protocols in complete ScienCell Astrocyte Medium. Briefly, primary human astrocytes were isolated from the normal brainstem or spinal cord tissue and at P0 were tested for morphology by phase contrast and relief contrast microscopy and GFAP positivity by immunofluorescence. Cell number, viability (≥ 70%), and proliferative potential (≥ 15 pd) were also assessed, and negative screening for potential biological contaminants was confirmed prior to cryopreservation and receipt of frozen cells at P1. Purity was determined by quantitative reverse transcriptase-polymerase chain reaction qRT-PCR (Fig. S1).

EAE induction

Animals of mixed sex were induced for EAE at 8–10 weeks of age. C57Bl/6, Gfap-Cre+ line 77.6, Tie2-Cre+, and Ifngr1fl/fl mice were obtained commercially from The Jackson Laboratory and housed under specific pathogen-free conditions. Mice were crossed according to standard breeding schemes to generate Ifngr1fl/fl, Gfap-Cre+, and Ifngr1fl/flTie2-Cre+ mice, and Ifngr1fl/fl littermate controls were used in all experiments. Mice were immunized s.c. with 100 μl of a standard emulsion (Hooke Laboratories) containing complete Freund’s adjuvant and MOG35-55 on the upper back and base of the tail. Pertussis toxin (80 ng) (Hooke Laboratories) was injected i.p. on the day of immunization and 2 days later. Mice were monitored daily for clinical signs of disease as follows: 0, no observable signs; 1, limp tail; 2, limp tail and ataxia; 2.5, limp tail and knuckling of at least one limb; 3, paralysis of one limb; 3.5; partial paralysis of one limb and complete paralysis of the other; 4, complete hindlimb paralysis; 4.5, moribund; 5, death.

qRT-PCR analysis

Total RNA was collected from human brainstem and spinal cord astrocytes (ScienCell) using a RNeasy Kit (QIAGEN) according to manufacturer’s instructions. Reverse transcription and SYBR Green qRT-PCR were performed as previously described [65, 66] for constitutive and immunoproteasome subunits using established primers [67]. Transcript levels were normalized to copies of GAPDH.

Western blotting

Protein lysates were collected from regional human astrocytes in radioimmunoprecipitation assay (RIPA) buffer (Sigma-Aldrich) supplemented with a protease and phosphatase-3 inhibitor cocktail (Sigma-Aldrich), then 20 μg of protein was resolved on a 4-12% Tris gel and transferred to a polyvinylidene difluoride (PVDF) membrane using the Trans-Blot Turbo system (Bio-Rad) according to standard protocols. Membranes were incubated overnight at 4 °C in Tris-buffered saline (TBS), 0.1% Tween® 20 (TBST) plus 5% powdered milk and anti-LMP2 (Abcam; ab184172) or anti-Lys48 (Millipore; 05-1307) and anti-β-actin (ThermoFisher Scientific; MA5-15739) antibodies, washed with TBST 3 times, and then incubated with Alexa Fluor 488, 647, or HRP-conjugated secondary antibodies (ThermoFisher Scientific) for 1 h at room temperature. Membranes were washed with TBST 3 times and imaged using the ChemiDoc MP imaging system (Bio-Rad).

In vitro reactive oxygen species (ROS) and caspase detection assays

Human brainstem and spinal cord astrocytes (ScienCell) were seeded in 96-well plates until 70–80% confluent and treated with media alone or 10 ng/ml IFNγ with or without ONX 0914 for 48 h. ROS were quantified using the DCFDA Cellular ROS Detection Assay Kit (Abcam), caspase activity was quantified using the Caspase-Glo 3/7 Assay Kit (Promega). Cell viability was detected using the CytoPainter Live Cell Labeling Kit (Abcam) and used to normalize ROS and caspase activity. Plates were read on a Victor 3 Multilabel Counter (Perkin Elmer).

OxyBlot

Human brainstem and spinal cord astrocytes (ScienCell) were seeded in 6-well plates until 70–80% confluent and treated with media alone or 10 ng/ml IFNγ for 48 h. Protein lysate was isolated in RIPA buffer supplemented with a protease and phosphatase-3 inhibitor cocktail (Sigma-Aldrich). Lysate (20 μg) was then subjected to derivatization according to manufacturer’s instructions (Millipore) and resolved on a 4–12% Tris gel and transferred onto a PVDF transfer membrane (Bio-Rad) using the Trans-Blot Turbo system (Bio-Rad) according to standard protocols. Membranes were incubated overnight at 4 °C in TBST plus 5% powdered milk and probed with either anti-DNP (Millipore; S7150) or anti-β-actin (ThermoFisher Scientific; MA5-15739) primary antibodies, washed with TBST 3 times, and then incubated with HRP-conjugated secondary antibodies (Millipore) for 1 h at room temperature. Membranes were washed with TBST 3 times, imaged using the ChemiDoc MP imaging system (Bio-Rad), and analyzed as previously described [68].

Immunoproteasome inhibition

For in vitro experiments, the selective immunoproteasome inhibitor ONX 0914 (Cayman Chemical) was dissolved in 0.25% ethanol and used at a working concentration of 50 μM. For in vivo immunoproteasome inhibition, ONX 0914 was formulated in an aqueous solution of 14% ethanol in PBS, which was used as a vehicle control, and administered to mice as an i.p. bolus dose of 10 mg/kg after a stabilization or reduction in EAE clinical score for two consecutive days was observed. Seven days after vehicle or ONX 0914 treatment, mice were perfused and CNS tissue was prepared for IHC analysis.

Murine tissue IHC

Mice were intracardially perfused with PBS followed by 4% paraformaldehyde (PFA), and CNS tissue was removed and fixed in 4% PFA at 4°C for 24 h. Tissue was then cryopreserved in 30% sucrose and frozen in O.C.T. Compound (Fisher HealthCare). Frozen, sequential transverse sections (12 μm) were slide mounted and stored at − 80 °C. Tissue sections were blocked with 10% goat serum and 0.1% Triton X-100 (Southern Biotech) for 1 h at room temperature and then incubated with anti-myelin basic protein (MBP) (Abcam; ab7349), anti-LMP2 (Abcam; ab184172), anti-PRDX6 (Abcam; ab59543), anti-Lys48 (Millipore; 05-1307), anti-GFAP (Invitrogen; 13-0300), anti-IFNGR1 (ThermoFisher Scientific; 13-1191-82), or anti-Iba1 (Wako Chemicals; 019-19741) primary antibodies overnight at 4 °C. Secondary antibodies conjugated to Alexa Fluor 488 or Alexa Fluor 555 (ThermoFisher Scientific) were applied for 1 h at room temperature. Nuclei were counterstained with DAPI (ThermoFisher Scientific) diluted in PBS. Sections were analyzed using the 20 × objective of a confocal microscope LSM 800 (Carl Zeiss). Images shown are representative of 4–8 images taken across two tissue sections at least 100 μm apart per individual mouse. The mean positive area, intensity, and Mander’s coefficient of colocalization were determined by setting thresholds using appropriate isotype control antibodies and quantified using ImageJ software (NIH).

Statistics

EAE data were analyzed using the nonparametric Mann-Whitney U test. Other data were analyzed with parametric tests (2-tailed Student’s t test or 2-way analysis of variance (ANOVA), with correction for multiple comparisons where appropriate. All statistical analyses were performed using GraphPad Prism Version 7 software (GraphPad Software). A P value of less than 0.05 was considered statistically significant.

Results

The iP is expressed in regional astrocytes within MS lesions and is associated with reduced oxidative stress

In several neurodegenerative diseases, the iP is known to clear ROS and degrade poly-ubiquitinated proteins [69,70,71], and there is evidence that the iP may be dysregulated during MS and experimental autoimmune encephalomyelitis (EAE), an animal model of MS [71,72,73]. Additionally, astrocytes have been implicated in modulating neuroinflammation and neurodegeneration [15, 16, 74]; however, the role of the astrocyte iP during MS and EAE has not yet been fully elucidated. To determine the role of the iP in the MS brain, we evaluated the mRNA expression of genes associated with the classical proteasome (PSMB7) and the iP (PSMB8) in previously published MS patient tissue microarray data [62]. Strikingly, we found PSMB7 to be significantly downregulated while PSMB8 was significantly increased in white matter lesions (WML) compared to controls and normal-appearing white matter (NAWM; Fig. 1a,b). Although lesions in the brainstem and spinal cord are common and result in pronounced disability during MS [75, 76] and EAE [77], relatively little is known about lesion pathology in these regions. Thus, we examined NAWM and areas of demyelination in the brainstem (Fig. 1c) and spinal cord (Fig. 1d) of MS patients (Table 1), labeling an iP subunit (LMP7) and an indicator of oxidative stress (PRDX6) within astrocytes by IHC. In WMLs, there was an inverse relationship between LMP7 and PRDX6 specifically in the spinal cord (Fig. 1e), suggesting that the iP may play a role in reducing oxidative stress in MS lesions and that there may be a difference in iP expression and/or function in regional astrocytes.

Fig. 1
figure 1

Regional astrocyte oxidative stress and iP expression in chronic MS WMLs. a and b RNA was extracted from the cortical WM of control and MS (n = 7–12) patients and analyzed via microarray and the relative expression of (a) PSMB7 and (b) PSMB8 were assessed as described [62]. c and d MS demyelinating lesions (black outline) and NAWM (white square) were identified by PLP labeling of the (c) brainstem and (d) spinal cord in MS patients. e GFAP+ astrocytes (red) were co-labeled with either LMP7 or PRDX6 (green) in NAWM or in WML of the brainstem or spinal cord. Scale bar: 10 μM. *P < 0.05, **P < 0.01. Ctrl WM control white matter, NAWM normal-appearing white matter, WML white matter lesion

Regional astrocytes differentially regulate iP expression in response to IFNγ and during EAE

Astrocytes are regionally heterogeneous in morphology, gene expression, and function during physiological and pathological conditions [78, 79]. Since the iP is readily induced by IFNγ, which is present at all stages of MS [30, 34], and astrocytes are in and around MS lesions and respond to IFNγ, we further explored heterogenous regulation of the astrocyte iP between the brainstem and spinal cord driven by IFNγ. Using primary human astrocytes from the brainstem and spinal cord (Fig. S1), we analyzed iP transcript levels following IFNγ stimulation over the course of 48 h. Expression levels of the iP subunits PSMB8, PSMB9, and PSMB10 increased in spinal cord astrocytes compared to those in brainstem-derived astrocytes, with the most robust transcript upregulation occurring at 48 h (Fig. 2a). Of note, there was no appreciable change in constitutive proteasome subunit transcript in either region following IFNγ stimulation (Fig. S2). We confirmed regional differences in iP expression in astrocytes at the protein level by analyzing protein lysate from human brainstem and spinal cord astrocytes incubated with and without IFNγ (Fig. 2b,c). Although IFNγ expression is robust and perpetuates acute inflammation in both MS and EAE, it is still present during chronic disease, albeit at lower levels [80, 81]. To determine the regional sensitivity of astrocytes to IFNγ stimulation, we measured the transcript expression levels of iP subunits following an IFNγ dose titration over 24 or 48 h. Interestingly, compared to those from the brainstem, all of the iP subunits were upregulated specifically in astrocytes from the spinal cord following exposure to low concentrations of IFNγ after 48 h (Fig. 2d). To determine if regional differences in astrocyte iP expression were present in vivo during neuroinflammation, we induced EAE in Ifngr1fl/flTie2-Cre+ mice, in which the IFNγ receptor (IFNGR1) is deleted from endothelial cells of the blood–brain barrier [82, 83], conferring inflammation in both the brainstem and spinal cord and maintaining genetically WT astrocytes. Signs of both classical EAE, primarily affecting the spinal cord, and atypical EAE, which affects the hindbrain, were monitored (Fig. S3A) [44, 53]. To determine if iP expression is regionally distinct, we first confirmed that lesion size between the brainstem and spinal cord was consistent in Ifngr1fl/flTie2-Cre+ mice (Fig. S3B). While the average lesion size was similar between regions in Ifngr1fl/flTie2-Cre+ mice, iP expression in spinal cord astrocytes was significantly increased compared to those in the brainstem (Fig. S3B). These data demonstrate that both in human astrocytes and in an in vivo model of regional autoimmune neuroinflammation, astrocyte, iP expression is preferentially upregulated by IFNγ in spinal cord astrocytes compared to those in the brainstem. This suggests that in the spinal cord, the iP is potentially a primary astrocyte-mediated protection mechanism during neuroinflammation, and that brainstem astrocytes may engage alternate pathways.

Fig. 2
figure 2

IFNγ-regulated expression of the iP in regional human astrocytes. a Human brainstem and spinal cord astrocytes were stimulated with 10 ng/ml IFNγ for 0, 6, 12, 24, or 48 h, and RNA was collected and analyzed for transcript levels of PSMB8, PSMB9, and PSMB10.b Human brainstem and spinal cord astrocytes were stimulated with or without 10 ng/ml IFNγ for 24 or 48 h, and protein lysate was assessed for levels of LMP2, normalizing to β-actin. c Human brainstem and spinal cord astrocytes were stimulated with 0, 1, 10, or 100 ng/ml IFNγ for 24 or 48 h, and RNA was collected and analyzed for transcript levels of PSMB8, PSMB9, and PSMB10. Data represent the mean ± SEM from 3 independent experiments. *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001 by 2-way ANOVA. BS brainstem, SC spinal cord

ROS and poly-ubiquitinated protein accumulation are abrogated by the astrocyte iP

The best known function of the iP is its role in antigen processing; however, since astrocytes present little or no antigen [84,85,86], alternate functions of the iP were examined, namely clearance of ROS and oxidatively damaged and poly-ubiquitinated proteins [87]. To determine the role of the iP in astrocyte viability and ROS clearance, we treated regional human astrocytes with or without IFNγ and a specific inhibitor of the iP, ONX 0914 [88,89,90]. Following iP inhibition, an increase in caspase activity was observed only in spinal cord astrocytes compared to media treatment, which was significantly enhanced compared to those from the brainstem (Fig. 3a). Next, we observed an overall increase in cellular ROS in astrocytes treated with ONX 0914, with enhanced ROS in spinal cord astrocytes compared to brainstem astrocytes. Interestingly, in cells treated only with IFNγ, astrocytes from the spinal cord produced less ROS than brainstem-derived astrocytes (Fig. 3b). Assessment of oxidative protein damage revealed an increase in spinal cord versus brainstem astrocytes following iP inhibition. There was also a treatment effect in spinal cord astrocytes with a reduction in oxidatively damaged proteins following IFNγ treatment (Fig. 3c,d). Assessment of poly-ubiquitinated proteins revealed an increase in both spinal cord and brainstem astrocytes following iP inhibition in the presence of IFNγ (Fig. 3e,f). Taken together, these data suggest that IFNγ-mediated induction of the iP in spinal cord astrocytes reduces ROS and oxidatively damaged and poly-ubiquitinated proteins which may lead to preservation of proper astrocyte function.

Fig. 3
figure 3

The effect of iP inhibition on regional astrocyte death, ROS production, oxidatively damaged and poly-ubiquitinated protein load. ae Human brainstem and spinal cord astrocytes were stimulated with or without 10 ng/ml IFNγ and/or ONX 0914 for 48 h. a Caspase activity and b ROS were measured and normalized to live cells. c Protein lysate was collected and derivatized, and (d) oxidatively damaged protein accumulation was quantified and normalized to β-actin levels. e Protein lysate was probed for Lys48-labeled poly-ubiquitinated proteins, normalized to β-actin expression, and (f) quantified. Data represent the mean ± SEM from 3 independent experiments. *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001 by 2-way ANOVA. ROS reactive oxygen species, Ox-damaged oxidatively damaged

Inhibition of the iP exacerbates chronic EAE

Although iP inhibition during acute EAE resulted in ameliorated disease associated primarily with dampened peripheral immune responses [91], the role of the iP during the relatively less inflammatory chronic phase of EAE has not yet been explored. We induced EAE in WT C57Bl/6 mice, which develop spinal cord-associated inflammation, and two days after peak disease, we administered a single dose of ONX 0914 or vehicle, and the clinical course was monitored. Following treatment, EAE rapidly worsened in mice receiving ONX 0914 compared to vehicle-treated mice (Fig. 4a). Further, IHC labeling revealed an increase in lesion size and a loss of GFAP+ astrocyte labeling in ONX 0914-treated mice (Fig. 4b–e). To determine if this corresponded to a reduction in oxidative stress and poly-ubiquitinated protein accumulation, we performed IHC analysis on the tissue 7 days following treatment. Indeed, IHC labeling of PRDX6 indicated enhanced oxidative stress and oxidative stress within GFAP+ astrocytes in lesions of ONX 0914-treated compared to vehicle-treated mice (Fig. 4f,g). Similarly, Lys48 labeling revealed an increase in total poly-ubiquitination and poly-ubiquitination within GFAP+ astrocytes in lesions of ONX 0914-treated mice compared to those treated with vehicle (Fig. 4h,i). These data suggest that the iP has a role in reducing oxidative stress and poly-ubiquitinated protein build-up in astrocytes during chronic EAE, which may contribute to reduced lesion size and disease recovery.

Fig. 4
figure 4

iP inhibition exacerbates chronic EAE. Animals were randomly assigned to a treatment group, and EAE was induced in WT C57Bl/6 mice. After a stabilization or reduction in EAE, clinical score was observed for two consecutive days, 10 mg/kg ONX 0914 (n = 9) or vehicle (n = 7) was administered. a Following treatment, EAE clinical course was monitored in a blinded fashion, and data is presented relative to day post-treatment. Mice were perfused and CNS tissue was prepared for IHC analysis and ventral white matter tracts of the lumbar spinal cord were imaged using confocal microscopy at 20 × magnification. b Tissue sections were labeled for MBP (red), and nuclei were counterstained with DAPI (blue). c Lesion area and MBP+ area were quantified. d Tissue sections were labeled for GFAP (red), and nuclei were counterstained with DAPI (blue). e Mean intensity of GFAP staining within lesions (outlined) was quantified. f Tissue sections were labeled for PRDX6 (green) and GFAP (red), and nuclei were counterstained with DAPI (blue). g Total PRDX6 area and PRDX6 colocalized with GFAP were analyzed. h Tissue sections were labeled for Lys48 (green) and GFAP (red), and nuclei were counterstained with DAPI (blue). i Total Lys48 area and Lys48 colocalized with GFAP were analyzed. Data in (a) represent the mean ± SEM combined from 2 independent experiments and were analyzed by Mann–Whitney U test for nonparametric data. Data in (b-i) represent the mean ± SEM combined from 2 independent experiments and were analyzed by 2-tailed Student’s t test. *P < 0.05, **P < 0.01, ***P < 0.001

IFNγ-mediated iP upregulation in astrocytes is protective during chronic EAE

Diminished IFNγ signaling in astrocytes is known to exacerbate chronic EAE [53]. We demonstrated that the iP is regulated by IFNγ-signaling and observed an increase in oxidative stress and poly-ubiquitinated protein accumulation specifically in astrocytes during in vivo iP inhibition. However, of note, administration of ONX 0914 inhibits the iP globally, and since astrocytes can be influenced by other cell types including T cells and microglia during neuroinflammation [92, 93], we next utilized a more astrocyte-specific approach. To further examine the role of IFNγ-mediated iP induction in astrocytes during EAE, we immunized mice in which Gfap-expressing astrocytes are deficient in Ifngr1 (Fig. S4). Following EAE onset, Ifngr1fl/flGfap-Cre+ mice had a milder acute disease compared to littermate controls as previously described [92]. However, chronic disease was significantly exacerbated in Ifngr1fl/flGfap-Cre+ mice and weight loss was enhanced (Fig. 5a,b). Further, compared to Ifngr1fl/fl controls, Ifngr1fl/flGfap-Cre+ mice had increased lesion size and reduced myelin basic protein (MBP) expression by IHC (Fig. 5c,d). To determine if there was a corresponding reduction in astrocyte iP expression and function in Ifngr1fl/flGfap-Cre+ mice, we performed IHC analysis during chronic EAE. As expected, there was a decrease in both total iP expression and iP colocalization with GFAP+ astrocytes within the lesions of Ifngr1fl/flGfap-Cre+ compared to Ifngr1fl/fl mice (Fig. 5e,f). To confirm if there was an astrocyte-specific downregulation of iP expression, we analyzed LMP2 colocalization with Iba1+ microglia/monocytes and found no difference between genotypes (Fig. S5). Further IHC labeling revealed an increase in both total PRDX6 and Lys48 and PRDX6 and Lys48 colocalized with GFAP+ astrocytes within the lesions of Ifngr1fl/flGfap-Cre+ compared to Ifngr1fl/fl mice (Fig. 5g–j), suggesting enhanced oxidative stress and poly-ubiquitinated protein accumulation specifically in astrocytes of Ifngr1fl/flGfap-Cre+ mice. These data suggest that during chronic EAE, IFNγ signaling in astrocytes enhances iP expression, which leads to a reduction in CNS tissue damage, allowing recovery from clinical disease.

Fig. 5
figure 5

Astrocyte IFNγ signaling upregulates the iP during EAE. EAE was induced in Ifngr1fl/flGfap-Cre+ mice (n = 7) and Ifngr1fl/fl littermates (n = 12) and (a) EAE clinical course and (b) weight loss were blindly monitored. Following 25 days post-immunization, mice were perfused, and the CNS was removed and cryopreserved for IHC analysis. Ventral white matter tracts of the lumbar spinal cord were imaged using confocal microscopy at 20 a magnification. c Tissue sections were labeled for MBP (red), and nuclei were counterstained with DAPI (blue). d Lesion area and MBP+ area were quantified. e Tissue sections were labeled for LMP2 (green), GFAP (red), and nuclei were counterstained with DAPI (blue). Spinal cord sections from (i) Ifngr1fl/fl and (ii) Ifngr1fl/flGfap-Cre+ mice were imaged at 63 × magnification, and areas of LMP2/GFAP colocalization are indicated (white arrows). f Total LMP2 area and LMP2 colocalized with GFAP were analyzed. g Tissue sections were labeled for PRDX6 (green) and GFAP (red), and nuclei were counterstained with DAPI (blue). h Total PRDX6 area and PRDX6 colocalized with GFAP were analyzed. i Tissue sections were labeled for Lys48 (green) and GFAP (red), and nuclei were counterstained with DAPI (blue). j Total Lys48 area and Lys48 colocalized with GFAP were analyzed. Data in (a) represent the mean ± SEM combined from 2 independent experiments and were analyzed by Mann–Whitney U test for nonparametric data. Data in cj represent the mean ± SEM combined from 2 independent experiments and were analyzed by 2-tailed Student’s t test. *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001

Discussion

Interferonγ is primarily pro-inflammatory in acute stages of MS and EAE [81]; however, there is evidence to suggest that in chronic MS and EAE, IFNγ has protective functions [37, 38, 53]. In this study, we confirm these findings and demonstrate that IFNγ signaling in astrocytes leads to the upregulation of the iP, dampening chronic EAE severity. Our studies indicate that IFNγ-mediated upregulation of the iP leads to preservation of astrocyte integrity by reducing ROS and degrading oxidatively damaged and poly-ubiquitinated proteins. In vivo, IFNγR signaling was critical for iP upregulation in astrocytes, which was associated with a reduction in lesion size and disease severity during chronic EAE. Further, studies using postmortem MS tissue, in vitro astrocytes, and models of EAE showed enhanced iP expression in the spinal cord compared to the brainstem, suggesting that spinal cord astrocytes more readily upregulate the iP upon IFNγ stimulation, leading to enhanced region-specific protection during CNS autoimmunity. Previous findings suggest that enhanced IFNγ responsiveness of spinal cord astrocytes may be due to increased IFNGR1 expression at baseline relative to those from the brainstem [92].

These findings reveal the importance of IFNγ signaling and its role in astrocyte iP regulation during chronic stages of neurodegenerative disease, and they highlight the stage-specific roles of IFNγ during MS and EAE. Previous studies have shown that iP inhibition by ONX 0914 during acute disease leads to EAE amelioration by dampening peripheral immune responses [91, 94]. Importantly, it has recently been shown that IFNγ diverts OPCs from differentiating into mature oligodendrocytes to cells with antigen presenting capabilities via upregulation of the iP, a critical immune-priming process during acute EAE [95]. However, iP inhibition following the acute phase of EAE, using the same dose of ONX 0914, we found that disease severity was significantly exacerbated. Indeed, IFNγR signaling specifically in astrocytes was beneficial, resulting in smaller lesions, less demyelination, and a reduction in EAE severity in control mice compared to those with dampened IFNγR1 in astrocytes [53]. Here, we extend those findings by demonstrating that upregulation of the iP is a potential mechanism by which IFNγ signaling protects the CNS during chronic neuroinflammation. We demonstrate that the iP is expressed in astrocytes during chronic MS and that administration of a specific iP inhibitor during chronic EAE exacerbates clinical disease, likely as a result of inhibiting the alternate functions of the iP including clearance of ROS and poly-ubiquitinated proteins.

While IFNγ signaling is known to directly induce iP expression [96], other factors including aging, stress, and ROS also contribute to iP upregulation [97,98,99]. Due to normal metabolic processes and oxidative and age-related stress, there is a basal level of iP expression that supports cellular homeostasis [97]. Without a functioning iP, damaged proteins can rapidly accumulate under oxidative stress conditions, like EAE and MS, to an extent that exceeds the proteolytic capacity of the constitutive proteasome, which leads to the formation of harmful protein aggregates and cell apoptosis [68, 100, 101]. Importantly, oxidative and inflammatory genes are modified during EAE and primarily in astrocytes in MS lesions [101,102,103,104,105]. Gene modifications in astrocytes during inflammatory processes include those that would support an increase in ubiquitinated protein degradation, including increases in ubiquitin ligases necessary for proteasome recognition [106, 107]. Consistent with this, oxidized and poly-ubiquitinated proteins accumulated in chronic MS white matter with reduced iP peptidase activity [108] and in the brains of mice lacking the iP subunits LMP2 and LMP7 [68, 109]. Further, LMP7-deficient mice had more severe CNS oxidative damage and exacerbated EAE [68]. While the pathological consequences of impaired iP activity in chronic MS and EAE are unknown, the impact of accumulated, damaged protein aggregates and reduced degradation of various signaling and pro-apoptotic molecules likely contribute to neurodegeneration.

These findings broaden our understanding of astrocyte heterogeneity in the CNS. Although regional heterogeneity of astrocytes in neurophysiologic functions [18, 19, 66] and in many disease models [110, 111], including EAE [79, 112, 113], has been appreciated, there are no studies to date that have described a regional role for the iP in the CNS. However, a regional difference in Type I IFN signaling in astrocytes has been described [66]. Here, we expand on those findings, demonstrating a regional increase in iP expression preferentially in spinal cord astrocytes compared to those from the brainstem in response to IFNγ. We show that this increase in iP expression in spinal cord astrocytes is protective, as inhibition of the iP results in reduced astrocyte viability, increased ROS production, and accumulation of damaged proteins. This diverse astrocytic response is critical in healthy tissue preservation and support as it minimizes prolonged CNS exposure to cytotoxic inflammation. Indeed, ablation of astrocytes following several types of CNS injury leads to sustained inflammation, impaired blood–brain barrier repair, and increased neurodegeneration [20,21,22,23,24,25,26,27,28,29]. Additionally, IFNGR1 signaling induces several cellular pathways during neuroinflammation. Notably, IFNGR1 activation in astrocytes results in the secretion of interleukin (IL)-27, which regulates effector T cell functions during EAE via IL-10 induction [53]. Thus, the survival of astrocytes following damage is key in CNS recovery. Taken together, our data suggest that the astrocyte iP may be a key mechanism of protection in the spinal cord while other distinct CNS regions may rely on alternate pathways to facilitate damage control and recovery during chronic neurodegeneration and CNS inflammation.

Our study demonstrating a role for the astrocyte iP in promoting protection during chronic neuroinflammation has definite clinical implications. It has been proposed that inhibition of the iP can serve as an effective therapeutic modality for MS; however, given the data presented here, consideration of disease stage is of utmost importance [73, 114]. In progressive MS patients, improving symptoms correlated with high levels of serum IFNγ, while patients with clinical worsening had relatively low levels of serum IFNγ [37], suggesting IFNγ-induced iP expression may have a role in MS stabilization or even recovery. Since the iP is critical for maintenance of astrocytes and recovery from chronic autoimmunity, inhibition would likely greatly exacerbate patient symptoms if given during chronic stages of MS.

Conclusions

Our findings highlight the protective and stage-specific role of IFNγ during chronic MS and EAE via upregulation of the iP in regional astrocytes. Due to a role in reducing ROS, degrading oxidatively damaged and poly-ubiquitinated proteins, IFNγ-mediated upregulation of the iP represents a potential mechanism by which astrocytes protect the CNS during chronic neuroinflammation (Fig. 6). Further studies identifying an endogenous inhibitor of the iP in astrocytes [67] are needed to yield a potential therapeutic target for SPMS and PPMS patients.

Fig. 6
figure 6

Schematic representation of the proposed IFNγ-iP axis active in astrocytes during chronic EAE. During MS and EAE, oxidative stress occurs in astrocytes leading to rapid accumulation of oxidatively damaged proteins, which are tagged for degradation by the iP via poly-ubiquitin chains. IFNGR1 signaling in astrocytes leads to the conversion of the constitutive proteasome (cP) to the iP, which more efficiently reduces oxidative stress and removes poly-ubiquitinated proteins, leading to a reduction in lesion size and improved EAE clinical score

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

IFN:

Interferon

iP:

Immunoproteasome

MS:

Multiple sclerosis

MOG:

Myelin oligodendrocyte glycoprotein

EAE:

Experimental autoimmune encephalomyelitis

CNS:

Central nervous system

RRMS:

Relapsing-remitting MS

SPMS:

Secondary progressive MS

PPMS:

Primary progressive MS

IHC:

Immunohistochemistry

ROS:

Reactive oxygen species

PLP:

Proteolipid protein

TBST:

Tris-buffered saline, 0.1% Tween® 20

PFA:

Paraformaldehyde

WML:

White matter lesions

NAWM:

Normal-appearing white matter

IFNGR1:

Interferon-gamma receptor

MBP:

Myelin basic protein

IL:

Interleukin

References

  1. Berer K, Krishnamoorthy G. Microbial view of central nervous system autoimmunity. FEBS Lett. 2014;588:4207–13.

    Article  CAS  PubMed  Google Scholar 

  2. Trapp BD, Nave KA. Multiple sclerosis: an immune or neurodegenerative disorder? Annu Rev Neurosci. 2008;31:247–69.

    Article  CAS  PubMed  Google Scholar 

  3. Compston A, Coles A. Multiple sclerosis. Lancet. 2008;372:1502–17.

    Article  CAS  PubMed  Google Scholar 

  4. Hurwitz BJ. The diagnosis of multiple sclerosis and the clinical subtypes. Ann Indian Acad Neurol. 2009;12:226–30.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Thompson AJ, Kermode AG, Wicks D, MacManus DG, Kendall BE, Kingsley DP, McDonald WI. Major differences in the dynamics of primary and secondary progressive multiple sclerosis. Ann Neurol. 1991;29:53–62.

    Article  CAS  PubMed  Google Scholar 

  6. Confavreux C, Vukusic S, Moreau T, Adeleine P. Relapses and progression of disability in multiple sclerosis. N Engl J Med. 2000;343:1430–8.

    Article  CAS  PubMed  Google Scholar 

  7. Miller DH, Leary SM. Primary-progressive multiple sclerosis. Lancet Neurol. 2007;6:903–12.

    Article  PubMed  Google Scholar 

  8. Goodin DS, Frohman EM, Garmany GP Jr, Halper J, Likosky WH, Lublin FD, Silberberg DH, Stuart WH, van den Noort S, Therapeutics, et al. Disease modifying therapies in multiple sclerosis: report of the Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology and the MS Council for Clinical Practice Guidelines. Neurology. 2002;58:169–78.

    Article  CAS  PubMed  Google Scholar 

  9. Wingerchuk DM, Carter JL. Multiple sclerosis: current and emerging disease-modifying therapies and treatment strategies. Mayo Clin Proc. 2014;89:225–40.

    Article  PubMed  Google Scholar 

  10. Feinstein A, Freeman J, Lo AC. Treatment of progressive multiple sclerosis: what works, what does not, and what is needed. Lancet Neurol. 2015;14:194–207.

    Article  PubMed  Google Scholar 

  11. Leary SM, Thompson AJ. Interferon beta-1a in primary progressive multiple sclerosis. J Neurol Sci. 2003;206:215–6.

    Article  CAS  PubMed  Google Scholar 

  12. van Oosten BW, Lai M, Hodgkinson S, Barkhof F, Miller DH, Moseley IF, Thompson AJ, Rudge P, McDougall A, McLeod JG, et al. Treatment of multiple sclerosis with the monoclonal anti-CD4 antibody cM-T412: results of a randomized, double-blind, placebo-controlled, MR-monitored phase II trial. Neurology. 1997;49:351–7.

    Article  PubMed  Google Scholar 

  13. TNF neutralization in MS. Results of a randomized, placebo-controlled multicenter study. Neurology. 1999;53:457.

    Article  Google Scholar 

  14. Segal BM, Constantinescu CS, Raychaudhuri A, Kim L, Fidelus-Gort R, Kasper LH, Ustekinumab MSI. Repeated subcutaneous injections of IL12/23 p40 neutralising antibody, ustekinumab, in patients with relapsing-remitting multiple sclerosis: a phase II, double-blind, placebo-controlled, randomised, dose-ranging study. Lancet Neurol. 2008;7:796–804.

    Article  CAS  PubMed  Google Scholar 

  15. Brosnan CF, Raine CS. The astrocyte in multiple sclerosis revisited. Glia. 2013;61:453–65.

    Article  PubMed  Google Scholar 

  16. Ponath G, Lincoln MR, Levine-Ritterman M, Park C, Dahlawi S, Mubarak M, Sumida T, Airas L, Zhang S, Isitan C, et al. Enhanced astrocyte responses are driven by a genetic risk allele associated with multiple sclerosis. Nat Commun. 2018;9:5337.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Patel JR, Williams JL, Muccigrosso MM, Liu L, Sun T, Rubin JB, Klein RS. Astrocyte TNFR2 is required for CXCL12-mediated regulation of oligodendrocyte progenitor proliferation and differentiation within the adult CNS. Acta Neuropathol. 2012;124:847–60.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. John Lin CC, Yu K, Hatcher A, Huang TW, Lee HK, Carlson J, Weston MC, Chen F, Zhang Y, Zhu W, et al. Identification of diverse astrocyte populations and their malignant analogs. Nat Neurosci. 2017;20:396–405.

    Article  CAS  PubMed  Google Scholar 

  19. Zhang Y, Barres BA. Astrocyte heterogeneity: an underappreciated topic in neurobiology. Curr Opin Neurobiol. 2010;20:588–94.

    Article  CAS  PubMed  Google Scholar 

  20. Liddelow SA, Barres BA. Reactive astrocytes: production, function, and therapeutic potential. Immunity. 2017;46:957–67.

    Article  CAS  PubMed  Google Scholar 

  21. Bush TG, Puvanachandra N, Horner CH, Polito A, Ostenfeld T, Svendsen CN, Mucke L, Johnson MH, Sofroniew MV. Leukocyte infiltration, neuronal degeneration, and neurite outgrowth after ablation of scar-forming, reactive astrocytes in adult transgenic mice. Neuron. 1999;23:297–308.

    Article  CAS  PubMed  Google Scholar 

  22. Gao Q, Li Y, Chopp M. Bone marrow stromal cells increase astrocyte survival via upregulation of phosphoinositide 3-kinase/threonine protein kinase and mitogen-activated protein kinase kinase/extracellular signal-regulated kinase pathways and stimulate astrocyte trophic factor gene expression after anaerobic insult. Neuroscience. 2005;136:123–34.

    Article  CAS  PubMed  Google Scholar 

  23. Hayakawa K, Pham LD, Arai K, Lo EH. Reactive astrocytes promote adhesive interactions between brain endothelium and endothelial progenitor cells via HMGB1 and beta-2 integrin signaling. Stem Cell Res. 2014;12:531–8.

    Article  CAS  PubMed  Google Scholar 

  24. Anderson MA, Burda JE, Ren Y, Ao Y, O'Shea TM, Kawaguchi R, Coppola G, Khakh BS, Deming TJ, Sofroniew MV. Astrocyte scar formation aids central nervous system axon regeneration. Nature. 2016;532:195–200.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Arai K, Lo EH. Astrocytes protect oligodendrocyte precursor cells via MEK/ERK and PI3K/Akt signaling. J Neurosci Res. 2010;88:758–63.

    CAS  PubMed  PubMed Central  Google Scholar 

  26. Sofroniew MV. Reactive astrocytes in neural repair and protection. Neuroscientist. 2005;11:400–7.

    Article  CAS  PubMed  Google Scholar 

  27. Voskuhl RR, Peterson RS, Song B, Ao Y, Morales LB, Tiwari-Woodruff S, Sofroniew MV. Reactive astrocytes form scar-like perivascular barriers to leukocytes during adaptive immune inflammation of the CNS. J Neurosci. 2009;29:11511–22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Faulkner JR, Herrmann JE, Woo MJ, Tansey KE, Doan NB, Sofroniew MV. Reactive astrocytes protect tissue and preserve function after spinal cord injury. J Neurosci. 2004;24:2143–55.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Myer DJ, Gurkoff GG, Lee SM, Hovda DA, Sofroniew MV. Essential protective roles of reactive astrocytes in traumatic brain injury. Brain. 2006;129:2761–72.

    Article  CAS  PubMed  Google Scholar 

  30. Olsson T. Cytokines in neuroinflammatory disease: role of myelin autoreactive T cell production of interferon-gamma. J Neuroimmunol. 1992;40:211–8.

    Article  CAS  PubMed  Google Scholar 

  31. Fletcher JM, Lalor SJ, Sweeney CM, Tubridy N, Mills KH. T cells in multiple sclerosis and experimental autoimmune encephalomyelitis. Clin Exp Immunol. 2010;162:1–11.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Kelchtermans H, Billiau A, Matthys P. How interferon-gamma keeps autoimmune diseases in check. Trends Immunol. 2008;29:479–86.

    Article  CAS  PubMed  Google Scholar 

  33. Arellano G, Ottum PA, Reyes LI, Burgos PI, Naves R. Stage-specific role of interferon-gamma in experimental autoimmune encephalomyelitis and multiple sclerosis. Front Immunol. 2015;6:492.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  34. Ottum PA, Arellano G, Reyes LI, Iruretagoyena M, Naves R. Opposing roles of interferon-gamma on cells of the central nervous system in autoimmune neuroinflammation. Front Immunol. 2015;6:539.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  35. Sosa RA, Murphey C, Robinson RR, Forsthuber TG. IFN-gamma ameliorates autoimmune encephalomyelitis by limiting myelin lipid peroxidation. Proc Natl Acad Sci U S A. 2015;112:E5038–47.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Sun L, Li Y, Jia X, Wang Q, Li Y, Hu M, Tian L, Yang J, Xing W, Zhang W, et al. Neuroprotection by IFN-gamma via astrocyte-secreted IL-6 in acute neuroinflammation. Oncotarget. 2017;8:40065–78.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Bever CT Jr, Panitch HS, Levy HB, McFarlin DE, Johnson KP. Gamma-interferon induction in patients with chronic progressive MS. Neurology. 1991;41:1124–7.

    Article  PubMed  Google Scholar 

  38. Furlan R, Brambilla E, Ruffini F, Poliani PL, Bergami A, Marconi PC, Franciotta DM, Penna G, Comi G, Adorini L, Martino G. Intrathecal delivery of IFN-gamma protects C57BL/6 mice from chronic-progressive experimental autoimmune encephalomyelitis by increasing apoptosis of central nervous system-infiltrating lymphocytes. J Immunol. 2001;167:1821–9.

    Article  CAS  PubMed  Google Scholar 

  39. Miller NM, Wang J, Tan Y, Dittel BN. Anti-inflammatory mechanisms of IFN-gamma studied in experimental autoimmune encephalomyelitis reveal neutrophils as a potential target in multiple sclerosis. Front Neurosci. 2015;9:287.

    PubMed  PubMed Central  Google Scholar 

  40. Voorthuis JA, Uitdehaag BM, De Groot CJ, Goede PH, van der Meide PH, Dijkstra CD. Suppression of experimental allergic encephalomyelitis by intraventricular administration of interferon-gamma in Lewis rats. Clin Exp Immunol. 1990;81:183–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Billiau A, Heremans H, Vandekerckhove F, Dijkmans R, Sobis H, Meulepas E, Carton H. Enhancement of experimental allergic encephalomyelitis in mice by antibodies against IFN-gamma. J Immunol. 1988;140:1506–10.

    CAS  PubMed  Google Scholar 

  42. Jagessar SA, Gran B, Heijmans N, Bauer J, Laman JD, t Hart BA, Constantinescu CS. Discrepant effects of human interferon-gamma on clinical and immunological disease parameters in a novel marmoset model for multiple sclerosis. J NeuroImmune Pharmacol. 2012;7:253–65.

    Article  PubMed  Google Scholar 

  43. Heremans H, Dillen C, Groenen M, Martens E, Billiau A. Chronic relapsing experimental autoimmune encephalomyelitis (CREAE) in mice: enhancement by monoclonal antibodies against interferon-gamma. Eur J Immunol. 1996;26:2393–8.

    Article  CAS  PubMed  Google Scholar 

  44. Lees JR, Golumbek PT, Sim J, Dorsey D, Russell JH. Regional CNS responses to IFN-gamma determine lesion localization patterns during EAE pathogenesis. J Exp Med. 2008;205:2633–42.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Stromnes IM, Cerretti LM, Liggitt D, Harris RA, Goverman JM. Differential regulation of central nervous system autoimmunity by T(H)1 and T(H)17 cells. Nat Med. 2008;14:337–42.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Simmons SB, Liggitt D, Goverman JM. Cytokine-regulated neutrophil recruitment is required for brain but not spinal cord inflammation during experimental autoimmune encephalomyelitis. J Immunol. 2014;193:555–63.

    Article  CAS  PubMed  Google Scholar 

  47. Krakowski M, Owens T. Interferon-gamma confers resistance to experimental allergic encephalomyelitis. Eur J Immunol. 1996;26:1641–6.

    Article  CAS  PubMed  Google Scholar 

  48. Ferber IA, Brocke S, Taylor-Edwards C, Ridgway W, Dinisco C, Steinman L, Dalton D, Fathman CG. Mice with a disrupted IFN-gamma gene are susceptible to the induction of experimental autoimmune encephalomyelitis (EAE). J Immunol. 1996;156:5–7.

    CAS  PubMed  Google Scholar 

  49. Sabatino JJ Jr, Shires J, Altman JD, Ford ML, Evavold BD. Loss of IFN-gamma enables the expansion of autoreactive CD4+ T cells to induce experimental autoimmune encephalomyelitis by a nonencephalitogenic myelin variant antigen. J Immunol. 2008;180:4451–7.

    Article  CAS  PubMed  Google Scholar 

  50. Willenborg DO, Fordham S, Bernard CC, Cowden WB, Ramshaw IA. IFN-gamma plays a critical down-regulatory role in the induction and effector phase of myelin oligodendrocyte glycoprotein-induced autoimmune encephalomyelitis. J Immunol. 1996;157:3223–7.

    CAS  PubMed  Google Scholar 

  51. Naves R, Singh SP, Cashman KS, Rowse AL, Axtell RC, Steinman L, Mountz JD, Steele C, De Sarno P, Raman C. The interdependent, overlapping, and differential roles of type I and II IFNs in the pathogenesis of experimental autoimmune encephalomyelitis. J Immunol. 2013;191:2967–77.

    Article  CAS  PubMed  Google Scholar 

  52. Pierson ER, Goverman JM. GM-CSF is not essential for experimental autoimmune encephalomyelitis but promotes brain-targeted disease. JCI Insight. 2017;2:e92362.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Hindinger C, Bergmann CC, Hinton DR, Phares TW, Parra GI, Hussain S, Savarin C, Atkinson RD, Stohlman SA. IFN-gamma signaling to astrocytes protects from autoimmune mediated neurological disability. PLoS One. 2012;7:e42088.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Savarin C, Hinton DR, Valentin-Torres A, Chen Z, Trapp BD, Bergmann CC, Stohlman SA. Astrocyte response to IFN-gamma limits IL-6-mediated microglia activation and progressive autoimmune encephalomyelitis. J Neuroinflammation. 2015;12:79.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  55. Lycklama G, Thompson A, Filippi M, Miller D, Polman C, Fazekas F, Barkhof F. Spinal-cord MRI in multiple sclerosis. Lancet Neurol. 2003;2:555–62.

    Article  PubMed  Google Scholar 

  56. Nijeholt GJ, van Walderveen MA, Castelijns JA, van Waesberghe JH, Polman C, Scheltens P, Rosier PF, Jongen PJ, Barkhof F. Brain and spinal cord abnormalities in multiple sclerosis. Correlation between MRI parameters, clinical subtypes and symptoms. Brain. 1998;121(Pt 4):687–97.

    Article  PubMed  Google Scholar 

  57. Brownlee WJ, Altmann DR, Alves Da Mota P, Swanton JK, Miszkiel KA, Wheeler-Kingshott CG, Ciccarelli O, Miller DH. Association of asymptomatic spinal cord lesions and atrophy with disability 5 years after a clinically isolated syndrome. Mult Scler. 2017;23:665–74.

    Article  CAS  PubMed  Google Scholar 

  58. Kearney H, Schneider T, Yiannakas MC, Altmann DR, Wheeler-Kingshott CA, Ciccarelli O, Miller DH. Spinal cord grey matter abnormalities are associated with secondary progression and physical disability in multiple sclerosis. J Neurol Neurosurg Psychiatry. 2015;86:608–14.

    Article  CAS  PubMed  Google Scholar 

  59. Kearney H, Rocca MA, Valsasina P, Balk L, Sastre-Garriga J, Reinhardt J, Ruggieri S, Rovira A, Stippich C, Kappos L, et al. Magnetic resonance imaging correlates of physical disability in relapse onset multiple sclerosis of long disease duration. Mult Scler. 2014;20:72–80.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Goodin DS. Magnetic resonance imaging as a surrogate outcome measure of disability in multiple sclerosis: Have we been overly harsh in our assessment? Ann Neurol. 2006;59:597–605.

    Article  PubMed  Google Scholar 

  61. Chomyk AM, Volsko C, Tripathi A, Deckard SA, Trapp BD, Fox RJ, Dutta R. DNA methylation in demyelinated multiple sclerosis hippocampus. Sci Rep. 2017;7:8696.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  62. Huynh JL, Garg P, Thin TH, Yoo S, Dutta R, Trapp BD, Haroutunian V, Zhu J, Donovan MJ, Sharp AJ, Casaccia P. Epigenome-wide differences in pathology-free regions of multiple sclerosis-affected brains. Nat Neurosci. 2014;17:121–30.

    Article  CAS  PubMed  Google Scholar 

  63. Dutta R, Chang A, Doud MK, Kidd GJ, Ribaudo MV, Young EA, Fox RJ, Staugaitis SM, Trapp BD. Demyelination causes synaptic alterations in hippocampi from multiple sclerosis patients. Ann Neurol. 2011;69:445–54.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. Dutta R, Chomyk AM, Chang A, Ribaudo MV, Deckard SA, Doud MK, Edberg DD, Bai B, Li M, Baranzini SE, et al. Hippocampal demyelination and memory dysfunction are associated with increased levels of the neuronal microRNA miR-124 and reduced AMPA receptors. Ann Neurol. 2013;73:637–45.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  65. Williams JL, Patel JR, Daniels BP, Klein RS. Targeting CXCR7/ACKR3 as a therapeutic strategy to promote remyelination in the adult central nervous system. J Exp Med. 2014;211:791–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  66. Daniels BP, Jujjavarapu H, Durrant DM, Williams JL, Green RR, White JP, Lazear HM, Gale M, Jr., Diamond MS, Klein RS: Regional astrocyte IFN signaling restricts pathogenesis during neurotropic viral infection. J Clin Invest 2017.

  67. Anderson AM, Kalimutho M, Harten S, Nanayakkara DM, Khanna KK, Ragan MA. The metastasis suppressor RARRES3 as an endogenous inhibitor of the immunoproteasome expression in breast cancer cells. Sci Rep. 2017;7:39873.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  68. Seifert U, Bialy LP, Ebstein F, Bech-Otschir D, Voigt A, Schroter F, Prozorovski T, Lange N, Steffen J, Rieger M, et al. Immunoproteasomes preserve protein homeostasis upon interferon-induced oxidative stress. Cell. 2010;142:613–24.

    Article  CAS  PubMed  Google Scholar 

  69. Pickering A, Miller R: Immunoproteasome system in aging, lifespan, and age-associated disease. In; 2017.

  70. Orre M, Kamphuis W, Dooves S, Kooijman L, Chan ET, Kirk CJ, Dimayuga Smith V, Koot S, Mamber C, Jansen AH, et al. Reactive glia show increased immunoproteasome activity in Alzheimer’s disease. Brain. 2013;136:1415–31.

    Article  PubMed  Google Scholar 

  71. Limanaqi F, Biagioni F, Gaglione A, Busceti CL, Fornai F. A sentinel in the crosstalk between the nervous and immune system: the (immuno)-proteasome. Front Immunol. 2019;10.

  72. Pekny M, Pekna M, Messing A, Steinhauser C, Lee JM, Parpura V, Hol EM, Sofroniew MV, Verkhratsky A. Astrocytes: a central element in neurological diseases. Acta Neuropathol. 2016;131:323–45.

    Article  CAS  PubMed  Google Scholar 

  73. Mishto M, Bellavista E, Ligorio C, Textoris-Taube K, Santoro A, Giordano M, D'Alfonso S, Listi F, Nacmias B, Cellini E, et al. Immunoproteasome LMP2 60HH variant alters MBP epitope generation and reduces the risk to develop multiple sclerosis in Italian female population. PLoS One. 2010;5:e9287.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  74. Colombo E, Farina C. Astrocytes: key regulators of neuroinflammation. Trends Immunol. 2016;37:608–20.

    Article  CAS  PubMed  Google Scholar 

  75. Bjartmar C, Kidd G, Mörk S, Rudick R, Trapp BD. Neurological disability correlates with spinal cord axonal loss and reduced N-acetyl aspartate in chronic multiple sclerosis patients. Ann Neurol. 2000;48:893–901.

    Article  CAS  PubMed  Google Scholar 

  76. Scotti G, Scialfa G, Biondi A, Landoni L, Caputo D, Cazzullo CL. Magnetic resonance in multiple sclerosis. Neuroradiology. 1986;28:319–23.

    Article  CAS  PubMed  Google Scholar 

  77. Ransohoff RM. Animal models of multiple sclerosis: the good, the bad and the bottom line. Nat Neurosci. 2012;15:1074–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  78. Verkhratsky A, Nedergaard M. Physiology of astroglia. Physiol Rev. 2018;98:239–389.

    Article  CAS  PubMed  Google Scholar 

  79. Cunningham C, Dunne A, Lopez-Rodriguez AB. Astrocytes: heterogeneous and dynamic phenotypes in neurodegeneration and innate immunity. Neuroscientist. 2018;25:455–74.

    Article  PubMed  PubMed Central  Google Scholar 

  80. Panitch HS. Interferons in multiple sclerosis. Drugs. 1992;44:946–62.

    Article  CAS  PubMed  Google Scholar 

  81. Renno T, Taupin V, Bourbonnière L, Verge G, Tran E, De Simone R, Krakowski M, Rodriguez M, Peterson A, Owens T. Interferon-γ in progression to chronic demyelination and neurological deficit following acute EAE. Mol Cell Neurosci. 1998;12:376–89.

    Article  CAS  PubMed  Google Scholar 

  82. Payne S, Val SD, Neal A. Endothelial-specific Cre mouse models. Arterioscler Thromb Vasc Biol. 2018;38:2550–61.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  83. Wilson SJ, Lowe KL, Bokoch MP, Srinivasan Y, Wu RS, Coughlin SR. Abstract 437: endothelial cell gene expression in hypertensive mice. Arterioscler Thromb Vasc Biol. 2017;37:A437.

    Google Scholar 

  84. Bö L, Mörk S, Kong PA, Nyland H, Pardo CA, Trapp BD. Detection of MHC class II-antigens on macrophages and microglia, but not on astrocytes and endothelia in active multiple sclerosis lesions. J Neuroimmunol. 1994;51:135–46.

    Article  PubMed  Google Scholar 

  85. Matsumoto Y, Ohmori K, Fujiwara M. Immune regulation by brain cells in the central nervous system: microglia but not astrocytes present myelin basic protein to encephalitogenic T cells under in vivo-mimicking conditions. Immunology. 1992;76:209–16.

    CAS  PubMed  PubMed Central  Google Scholar 

  86. Kort JJ, Kawamura K, Fugger L, Weissert R, Forsthuber TG. Efficient presentation of myelin oligodendrocyte glycoprotein peptides but not protein by astrocytes from HLA-DR2 and HLA-DR4 transgenic mice. J Neuroimmunol. 2006;173:23–34.

    Article  CAS  PubMed  Google Scholar 

  87. Ebstein F, Kloetzel P-M, Krüger E, Seifert U. Emerging roles of immunoproteasomes beyond MHC class I antigen processing. Cell Mol Life Sci. 2012;69:2543–58.

    Article  CAS  PubMed  Google Scholar 

  88. von Brzezinski L, Saring P, Landgraf P, Cammann C, Seifert U, Dieterich DC. Low neurotoxicity of ONX-0914 supports the idea of specific immunoproteasome inhibition as a side-effect-limiting, therapeutic strategy. Eur J Microbiol Immunol (Bp). 2017;7:234–45.

    Article  CAS  Google Scholar 

  89. Zilberberg J, Matos J, Dziopa E, Dziopa L, Yang Z, Kirk CJ, Assefnia S, Korngold R. Inhibition of the immunoproteasome subunit LMP7 with ONX 0914 ameliorates graft-versus-host disease in an MHC-matched minor histocompatibility antigen–disparate murine model. Biology of Blood and Marrow Transplantation. 2015;21:1555–64.

    Article  CAS  PubMed  Google Scholar 

  90. Althof N, Goetzke CC, Kespohl M, Voss K, Heuser A, Pinkert S, Kaya Z, Klingel K, Beling A. The immunoproteasome-specific inhibitor ONX 0914 reverses susceptibility to acute viral myocarditis. EMBO Molecular Medicine. 2018;10:200–18.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  91. Basler M, Mundt S, Muchamuel T, Moll C, Jiang J, Groettrup M, Kirk CJ. Inhibition of the immunoproteasome ameliorates experimental autoimmune encephalomyelitis. EMBO Molecular Medicine. 2014;6:226–38.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  92. Williams JL, Manivasagam S, Smith BC, Sim J, Vollmer LL, Daniels BP, Russell JH, Klein RS: Astrocyte-T cell crosstalk regulates region-specific neuroinflammation. Glia 2020.

  93. Jha MK, Jo M, Kim JH, Suk K. Microglia-astrocyte crosstalk: an intimate molecular conversation. Neuroscientist. 2019;25:227–40.

    Article  CAS  PubMed  Google Scholar 

  94. Liu R-T, Zhang P, Yang C-L, Pang Y, Zhang M, Zhang N, Yue L-T, Li X-L, Li H, Duan R-S. ONX-0914, a selective inhibitor of immunoproteasome, ameliorates experimental autoimmune myasthenia gravis by modulating humoral response. J Neuroimmunol. 2017;311:71–8.

    Article  CAS  PubMed  Google Scholar 

  95. Kirby L, Jin J, Cardona JG, Smith MD, Martin KA, Wang J, Strasburger H, Herbst L, Alexis M, Karnell J, et al. Oligodendrocyte precursor cells present antigen and are cytotoxic targets in inflammatory demyelination. Nat Commun. 2019;10:3887.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  96. Grimm S, Ott C, Horlacher M, Weber D, Hohn A, Grune T. Advanced-glycation-end-product-induced formation of immunoproteasomes: involvement of RAGE and Jak2/STAT1. Biochem J. 2012;448:127–39.

    Article  CAS  PubMed  Google Scholar 

  97. Campello L, Esteve-Rudd J, Cuenca N, Martin-Nieto J. The ubiquitin-proteasome system in retinal health and disease. Mol Neurobiol. 2013;47:790–810.

    Article  CAS  PubMed  Google Scholar 

  98. Hussong SA, Kapphahn RJ, Phillips SL, Maldonado M, Ferrington DA. Immunoproteasome deficiency alters retinal proteasome's response to stress. J Neurochem. 2010;113:1481–90.

    CAS  PubMed  PubMed Central  Google Scholar 

  99. Forrester SJ, Kikuchi DS, Hernandes MS, Xu Q, Griendling KK. Reactive oxygen species in metabolic and inflammatory signaling. Circ Res. 2018;122:877–902.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  100. van Deventer S, Neefjes J. The immunoproteasome cleans up after inflammation. Cell. 2010;142:517–8.

    Article  PubMed  CAS  Google Scholar 

  101. Zheng J, Bizzozero OA. Reduced proteasomal activity contributes to the accumulation of carbonylated proteins in chronic experimental autoimmune encephalomyelitis. J Neurochem. 2010;115:1556–67.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  102. Smerjac SM, Bizzozero OA. Cytoskeletal protein carbonylation and degradation in experimental autoimmune encephalomyelitis. J Neurochem. 2008;105:763–72.

    Article  CAS  PubMed  Google Scholar 

  103. van Horssen J, Schreibelt G, Drexhage J, Hazes T, Dijkstra CD, van der Valk P, de Vries HE. Severe oxidative damage in multiple sclerosis lesions coincides with enhanced antioxidant enzyme expression. Free Radic Biol Med. 2008;45:1729–37.

    Article  PubMed  CAS  Google Scholar 

  104. Bizzozero OA, DeJesus G, Callahan K, Pastuszyn A. Elevated protein carbonylation in the brain white matter and gray matter of patients with multiple sclerosis. J Neurosci Res. 2005;81:687–95.

    Article  CAS  PubMed  Google Scholar 

  105. Wheeler MA, Clark IC, Tjon EC, Li Z, Zandee SEJ, Couturier CP, Watson BR, Scalisi G, Alkwai S, Rothhammer V, et al. MAFG-driven astrocytes promote CNS inflammation. Nature. 2020;578:593–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  106. Rothhammer V, Quintana FJ. Control of autoimmune CNS inflammation by astrocytes. Semin Immunopathol. 2015;37:625–38.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  107. Rothhammer V, Quintana FJ. The aryl hydrocarbon receptor: an environmental sensor integrating immune responses in health and disease. Nat Rev Immunol. 2019;19:184–97.

    Article  CAS  PubMed  Google Scholar 

  108. Zheng J, Bizzozero OA. Decreased activity of the 20S proteasome in the brain white matter and gray matter of patients with multiple sclerosis. J Neurochem. 2011;117:143–53.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  109. Ding Q, Martin S, Dimayuga E, Bruce-Keller AJ, Keller JN. LMP2 knock-out mice have reduced proteasome activities and increased levels of oxidatively damaged proteins. Antioxid Redox Signal. 2006;8:130–5.

    Article  CAS  PubMed  Google Scholar 

  110. White RE, McTigue DM, Jakeman LB. Regional heterogeneity in astrocyte responses following contusive spinal cord injury in mice. J Comp Neurol. 2010;518:1370–90.

    PubMed  PubMed Central  Google Scholar 

  111. Matias I, Morgado J, Gomes FCA. Astrocyte heterogeneity: impact to brain aging and disease. Front Aging Neurosci. 2019;11:59.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  112. Tassoni A, Farkhondeh V, Itoh Y, Itoh N, Sofroniew MV, Voskuhl RR. The astrocyte transcriptome in EAE optic neuritis shows complement activation and reveals a sex difference in astrocytic C3 expression. Sci Rep. 2019;9:10010.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  113. Itoh N, Itoh Y, Tassoni A, Ren E, Kaito M, Ohno A, Ao Y, Farkhondeh V, Johnsonbaugh H, Burda J, et al. Cell-specific and region-specific transcriptomics in the multiple sclerosis model: focus on astrocytes. Proc Natl Acad Sci. 2018;115:E302.

    Article  CAS  PubMed  Google Scholar 

  114. Basler M, Mundt S, Bitzer A, Schmidt C, Groettrup M. The immunoproteasome: a novel drug target for autoimmune diseases. Clin Exp Rheumatol. 2015;33:S74–9.

    PubMed  Google Scholar 

Download references

Acknowledgements

We thank Dr. Ranjan Dutta for the mRNA expression data, MS tissue, and insightful discussion and Dr. Melissa Varrecchia for technical and analytical assistance. We also thank Dr. Bruce Trapp for MS tissue collection, which is supported in part by NINDS R35 NS097303. This work was primarily supported by NIAID K22 AI125466 (JLW).

Funding

We thank Dr. Bruce Trapp for MS tissue collection, which is supported in part by NINDS R35 NS097303. This work was primarily supported by NIAID K22 AI125466 (JLW).

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization was done by BCS and JLW; designing research studies was done by BCS and JLW; BCS, MS, and JEJ were responsible for conducting experiments; BCS, MS, JEJ, and MWP were responsible for acquiring data; BCS, MS, and JLW were responsible for writing the manuscript; BCS, MS, MWP, and JLW were responsible for editing the manuscript; and supervision and funding acquisition was done by JLW. The authors read and approved the final manuscript.

Corresponding author

Correspondence to Jessica L. Williams.

Ethics declarations

Ethics approval and consent to participate

Unidentified postmortem brain specimens for microarray analysis were obtained from the UK Multiple Sclerosis Tissue Bank and the Human Brain and Spinal Fluid Resource Center at UCLA after obtaining approval of the Institutional Review Board at both institutions. All tissues used for IHC analysis were collected as part of the tissue procurement program approved by the Cleveland Clinic Institutional Review Board. Animals were housed in a specific pathogen-free barrier facility at the Cleveland Clinic Lerner Research Institute (Cleveland, OH, USA). All experiments were performed in compliance with and under the approval of the Cleveland Clinic Institutional Animal Care and Use Committee.

Consent for publication

Not applicable

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Additional file 1: Figure S1.

Confirmation of human astrocyte phenotype. Human brainstem and spinal cord astrocytes obtained from ScienCell Laboratories were plated in media alone until 80% confluent. RNA was then extracted and qRT-PCR was performed for the indicated transcripts.

Additional file 2: Figure S2.

IFNγ-regulated expression of the constitutive proteasome in regional human astrocytes. Human brainstem and spinal cord astrocytes were stimulated with 10 ng/ml IFNγ for 0, 6, 12, 24, or 48 h and RNA was collected and analyzed for transcript levels of PSMB5, PSMB6, and PSMB7 by qRT-PCR, normalized to copies of GAPDH. Data represent the mean ± SEM from 3 independent experiments. **P < 0.01, ***P < 0.001 between regions by 2-way ANOVA.

Additional file 3: Figure S3.

Regional inflammation and iP expression in Ifngr1fl/flTie2-Cre+ mice. EAE was induced in Ifngr1fl/flTie2-Cre+ mice (n = 5) and (A) EAE clinical course was monitored. Following 30 days post-immunization, mice were perfused and the CNS was removed and cryopreserved for IHC analysis. White matter tracts of the brain stem and lumbar spinal cord were imaged using confocal microscopy at 20x magnification. (B) Tissue sections were labeled for MBP (red) and nuclei were counterstained with DAPI (blue). (D) Lesion area was quantified using ImageJ software. (C) Tissue sections were labeled for LMP2 (green), GFAP (red), and nuclei were counterstained with DAPI (blue). (F) Total LMP2 area and LMP2 colocalized with GFAP were analyzed. *P < 0.05 between regions by 2-tailed Student’s t test.

Additional file 4: Figure S4.

IFNGR1 deletion in astrocytes of Ifngr1fl/flGfap-Cre+ mice. (A) IHC detection of astrocyte marker GFAP (red) or (B) Iba1 (red) and IFNGR1 (green) in the ventral spinal cords of Ifngr1fl/fl and Ifngr1fl/flGfap-Cre+ mice at day 25 post-EAE induction. Nuclei are shown in blue. Images are representative of at least 4-20x images for each of 7 independent mice per genotype. Colocalization is quantified by Mean Mander’s Coefficient using ImageJ software. Data points are representative of individual mice. **P < 0.01 between genotypes by 2-tailed Student’s t test.

Additional file 5: Figure S5.

LMP2 is not reduced in microglia/monocytes in Ifngr1fl/flGfap-Cre+ mice. IHC detection of Iba1 (red) and LMP2 (green) in the ventral spinal cords of Ifngr1fl/fl and Ifngr1fl/flGfap-Cre+ mice at day 25 post-EAE induction. Nuclei are shown in blue. Colocalization is quantified by Mander’s coefficient using ImageJ software. Data points are representative of individual mice. Data represent the mean ± SEM combined from 2 independent experiments and were analyzed by 2-tailed Student’s t test.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Smith, B.C., Sinyuk, M., Jenkins, J.E. et al. The impact of regional astrocyte interferon-γ signaling during chronic autoimmunity: a novel role for the immunoproteasome. J Neuroinflammation 17, 184 (2020). https://doi.org/10.1186/s12974-020-01861-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12974-020-01861-x

Keywords