Abstract
Neuromyelitis optica (NMO) is a rare disease usually presenting with bilateral or unilateral optic neuritis with simultaneous or sequential transverse myelitis. Autoantibodies directed against aquaporin-4 (AQP4-IgG) are found in most patients. They are believed to cross the blood–brain barrier, target astrocytes, activate complement, and eventually lead to astrocyte destruction, demyelination, and axonal damage. However, it is still not clear what the primary pathological event is. We hypothesize that the interaction of AQP4-IgG and astrocytes leads to DNA damage and apoptosis. We studied the effect of sera from seropositive NMO patients and healthy controls (HCs) on astrocytes’ immune gene expression and viability. We found that sera from seropositive NMO patients led to higher expression of apoptosis-related genes, including BH3-interacting domain death agonist (BID), which is the most significant differentiating gene (p < 0.0001), and triggered more apoptosis in astrocytes compared to sera from HCs. Furthermore, NMO sera increased DNA damage and led to a higher expression of immunological genes that interact with BID (TLR4 and NOD-1). Our findings suggest that sera of seropositive NMO patients might cause astrocytic DNA damage and apoptosis. It may be one of the mechanisms implicated in the primary pathological event in NMO and provide new avenues for therapeutic intervention.
Keywords: NMO, astrocytes, apoptosis, BID, inflammation, neuroimmunology
1. Introduction
Acute optic neuritis (ON) is the most common optic neuropathy affecting young adults [1]. It is characterized by reduced visual acuity, color desaturation, scotoma, and may induce ocular pain [2]. ON is present at onset in more than 50% of patients with Neuromyelitis optica (NMO) [3,4], a rare autoimmune inflammatory demyelinating syndrome of the central nervous system (CNS) [3]. The detection of antibodies against the astrocytic water channel aquaporin-4 (AQP4-IgG) distinguished NMO from other demyelinating disorders and re-defined NMO as an antibody-mediated autoimmune disease [5,6,7,8].
In the brain, AQP4 is mainly concentrated in astrocyte end-feet at pial and ependymal surfaces in contact with the cerebrospinal fluid (CSF) and blood vessels [9]. Astrocytes are critically important in the formation and maintenance of the blood–brain barrier (BBB), in maintaining ion and water homeostasis, neurotransmitter recycling, formation and maintenance, as well as the regulation of neural synaptogenesis [10,11,12,13,14,15]. They are known for their roles in immune response as well, including: the expression of immune-related receptors [16], synthesis of the complement components, and production of both immunomodulatory and immunopathogenic cytokines and chemokines [17,18,19].
AQP4-IgG primarily targets astrocytes in the CNS, resulting in secondary demyelination [20,21,22], which frequently leads to severe neurological deficits, including blindness and paraplegia [23,24]. It is thought that AQP4-IgG enters the CNS through areas of increased BBB permeability and binds selectively to AQP4 on astrocytes. The binding of the autoantigen is followed by complement activation and astrocyte destruction, leading to massive infiltration of leukocytes, particularly T and B lymphocytes, eosinophils, and neutrophils [25,26,27]. Although the role of autoantibodies and B cells remains the key factor in NMO pathogenesis, the primary pathological event remains elusive [21,26,27,28].
Here, we examined the effect of sera from seropositive NMO patients and healthy controls (HCs) on astrocytes’ immune gene expression and viability. The ability to identify the pathological changes astrocytes undergo upon exposure to sera of NMO patients is of interest, as this may lead to the development of novel therapies in NMO patients.
2. Results
2.1. Immunological Gene Expression Profiling of Human Astrocytes Cultured with NMO Sera
In order to study the effect of sera of seropositive NMO patients on astrocytes, we performed a large-scale gene expression array of 580 immune-related genes using the NanoString nCounter code set panel. Human astrocytes were cultured with human sera (10% of media) of either seropositive NMO patients or HCs for 24 h (n = 4 for each group).
Out of 580 genes, we identified 73 genes that differentiate significantly (padj < 0.1) between the two groups (NMO vs. HCs, Figure 1a and Table S1). Functional and enrichment analyses of the differently expressed genes were performed using DAVID [29]. Top significant Gene Ontology (GO) terms related to the apoptotic process, Toll-like receptor (TLR) signaling pathway, regulation of Interleukin (IL)-6 production, and antigen processing and presentation (Figure 1b). In addition, among the 73 significantly differentiating genes are complement-related genes such as CR2 and C7, which are known to be involved in NMO pathogenesis [30].
2.2. BID Pathway in Neuromyelitis Optica
2.2.1. Increased BID Expression in Astrocytes Following Exposure to Sera of Seropositive NMO Patients
BH3-interacting domain death agonist (BID) is the most significant differentiating gene between the two groups as found in the nCounter analysis (NMO: 131.4 ± 9.3 nCounts, HCs: 73.7 ± 8.0 nCounts, p < 0.0001, Figure 2a). In a validation experiment performed on primary astrocytes of mice and a larger group of patients (NMO: n = 18, HCs: n = 15) using rt-QPCR analysis, we confirmed that the expression level of BID was significantly increased in astrocytes cultured with sera of seropositive NMO patients compared to HCs (1.02 ± 0.6 RQ and 0.54 ± 0.22 RQ, p = 0.0037, Figure 2b).
BID is an essential member of the apoptotic process [31]. Also, it is involved in the regulation of DNA damage [32], and the regulation of innate immunity and inflammation via TLR and nucleotide-binding oligomerization domain containing (NOD)-1 signaling and IL-6 production [33,34]. Thus, we next analyzed these pathways in astrocytes cultured with sera obtained from patients with NMO.
2.2.2. Sera of NMO Patients Increase DNA Damage Response in Astrocytes
Tumor protein P53 (tp53) is an essential regulator of DNA damage, cell-cycle arrest, and the apoptotic process. It is known to regulate important genes that may initiate the intrinsic apoptotic pathway, such as BID [35,36]. In the nCounter analysis, tp53 was significantly upregulated in NMO compared to HCs (2224.3 ± 139.3 nCounts and 1923.2 ± 150.9 nCounts, p = 0.026, Figure 3a). In a validation experiment performed using rt-QPCR, we found that the expression level of tp53 is significantly increased in astrocytes cultured with seropositive NMO sera compared to sera of HCs (1.6 ± 0.6 RQ and 0.64 ± 0.4 RQ, respectively, p < 0.0001, Figure 3b).
To address DNA damage response, we examined histone family member X (H2AX) expression in primary astrocytes of mice following exposure to sera of AQP4+ patients. Immunofluorescence staining was performed following exposure to human sera (20% of media) for 48 h (Figure 3c). Exposure of astrocytes to sera from seropositive NMO patients resulted in significantly higher percentages of H2AX-expressing cells compared with the exposure to sera of HCs and no sera (30.3 ± 2.2%, 10.6 ± 3.4%, and 1.7 ± 0.6%, p < 0.0001, Figure 3d,e).
2.2.3. Increased Apoptosis of Astrocytes Following Exposure to NMO Sera
In response to pro-apoptotic signaling, BID interacts with other Bcl-2 family proteins, such as BCL2 Associated X (BAX), to initiate the apoptotic process [31]. BAX was found to be significantly upregulated in astrocytes cultured with NMO sera compared to HCs in the nCounter analysis (7680.1 ± 449.7 nCounts and 6270.4 ± 712.7 nCounts, p = 0.038). This was established in a validation experiment as described above (NMO: 1.11 ± 0.62 RQ, HCs: 0.56 ± 0.24 RQ, p = 0.0059, Figure 4a).
In order to assess the apoptosis level, we performed annexin staining of mouse primary astrocytes following exposure to sera of AQP4+ NMO patients or HCs. Astrocytes were cultured with human sera (20% of media) for 72 h. Then, we evaluated the astrocytes’ apoptosis using flow cytometry (Figure 4b). Exposure of astrocytes to sera of NMO patients resulted in significantly higher annexin staining compared to the exposure to sera of HCs (13.34 ± 4.03% vs. 5.7 ± 3.3%, p = 0.0002, Figure 4c,d).
2.2.4. Volumetric Brain Loss Correlates with BID and Annexin Levels of Astrocytes Cultured with Sera of NMO Patient
We analyzed the volume of 14 different brain structures using the Volbrain platform. We assessed the correlation of each patient’s volumetric data and the effect of the same patient’s sera on mouse astrocytes, as measured by BID expression and annexin levels.
We found a significant negative correlation between BID expression levels of mouse astrocytes cultured with sera of NMO patient and total cerebrum (r = −0.62, p = 0.0412, Figure 5a) and cerebellum volume (r = −0.88, p = 0.0003, Figure 5b) of the same patient. Furthermore, we assessed the correlation between brain volume and annexin levels of mouse astrocytes cultured with sera of NMO patient. We found a significant negative correlation between annexin levels and cerebellum volume (r = −0.78, p = 0.0068, Figure 5c) and brainstem volume (r = −0.81, p = 0.0038, Figure 5d) of the same patient.
2.3. Increased Pro-Inflammatory Gene Expression upon Exposure of Astrocytes to Sera of NMO Patients
To better understand the immune effect of NMO sera on astrocytes, we validated two representative genes that were found to differ significantly between the groups.
One of the major signaling pathways was TLR signaling pathway (Figure 1b). TLR4 is known for its roles in pathogen recognition and activation of innate immunity [37], but also for its involvement in autoimmune disorders such as multiple sclerosis [38]. Additionally, TLR4 interacts with BID both in innate immune pathways [33] and the apoptotic pathway [39]. In nCounter analysis, the expression of TLR4 was significantly higher among astrocytes exposed to sera of seropositive NMO patients (1597.1 ± 146.7 nCounts) compared to sera of HCs (1218.9 ± 136.3 nCounts). These findings were further validated on mouse primary astrocytes and a larger group of patients using rt-QPCR analysis (NMO: 1.9 ± 0.6 RQ, HCs: 1.26 ± 0.4 RQ, p = 0.0003, Figure 6a).
NOD-1 plays a key role in innate immune [40] and activated TLR4 signaling [41] pathways. It is also regulated by BID, and their interactions may eventually lead to NF-kB activation [33]. BID is required to activate host defense mechanisms to control bacterial infections but may also exacerbate immune-mediated inflammatory disease [33]. In nCounter analysis, NOD-1 expression levels were significantly higher among astrocytes exposed to NMO sera compared to HCs (188.11 ± 17.01 nCounts, and 127.4 ± 28.0 nCounts, respectively, p = 0.009). These findings were further validated as described above (NMO: 1.8 ± 0.9 RQ, HCs: 0.66 ± 0.62 RQ, p = 0.002, Figure 6b).
2.4. Sera of NMO Patients Stimulates a Repair Process
Following our observation that sera of seropositive NMO patients increased the expression of both genes involved in apoptosis and the TLR signaling pathway, we explored two immunological genes involved in synaptogenesis and known to reduce neuronal damage.
IL-15 is known to be upregulated in the CNS after injury [42,43,44,45,46]. Its expression is known to be related to NMO progression: high expression is implicated in reduced lesion size, attenuation of BBB leakage and tight junctions lost, reduced brain infiltration of immune cell subsets, and promotion of astrocytes survival [47]. IL-15 induces the activation of JAK1. Studies suggested that this cytokine may increase the expression of apoptosis inhibitor BCL2L1/BCL-x(L) [48]. Both IL-15 and JAK-1 were significantly upregulated among astrocytes exposed to NMO sera compared to HCs (IL-15: 185.8 ± 13.4 nCounts vs. 137.6 ± 24.7 nCounts; JAK-1: 4356.9 ± 175.1 nCounts vs. 3818.1 ± 130.02 nCounts). In validation experiments as described above, we found that the expression levels of IL-15 and JAK-1 were significantly increased in astrocytes cultured with NMO sera compared to HCs (IL-15: 1.1 ± 0.5 RQ vs. 0.72 ± 0.3 RQ, p = 0.0008; and JAK-1: 1.1 ± 0.4 RQ vs. 0.86 ± 0.4 RQ, p = 0.029, Figure 7a,b).
Taken together, these data suggest that exposure of astrocytes to NMO sera triggers not only a damaging cascade but also a repair process, which may eventually serve as a therapeutic target.
3. Discussion
In the current study, we found that sera from NMO patients have a differential effect on astrocytes’ immune gene expression. Sera from NMO patients led to increased apoptosis of astrocytes compared to sera from HCs. In addition, it also led to higher expression of DNA damage marker, H2AX, and higher expression of immunological genes, such as TLR4 and NOD-1.
Although NMO has been studied extensively, it is still not entirely clear what the primary pathological event is [21,26,27,28]. One accepted theory is that complement activation is initiated upon binding to the autoantigen, leading to astrocyte destruction and secondary demyelination and axonal damage [25,26,27]. It is in line with our result of higher expression of complement-related genes such as CR2 and C7 in human astrocytes cultured with sera of NMO patients. Other studies suggested that astrocyte damage may produce a toxic bystander effect on oligodendrocytes which can lead eventually to demyelination [49,50,51]. An additional possible explanation may be that following the primary event of the interaction of AQP4-IgG and astrocytes, there is an increase in DNA damage, increased expression of BID, and a higher level of apoptosis. The increased expression of BID also leads to higher expression of TLR4 and NOD-1. Understanding the mechanisms leading to NMO pathology may promote the development of new therapeutic interventions.
Another question regarding NMO pathology is why NMO lesions localize to the optic nerve. Previous works suggested that the restricted diffusion of AQP4 and other pro-inflammatory factors in the optic nerve may increase their concentration [52,53]. Also, the unique anatomy of the optic nerve is exceptional in myelinated tracks, which may provide another explanation for ON as well [54]. Furthermore, the high expression of AQP4 on astrocytes in the optic nerve compared to the brain remains the main reason for the susceptibility of the optic nerve in NMO patients [55].
Initially, we chose to focus on the apoptotic process. BID, the most significant differentiating gene in the nCounter analysis, is a pro-apoptotic member of the Bcl-2 protein family [31]. We assessed apoptosis in astrocytes exposed to NMO and HCs sera using annexin staining. We found higher levels of apoptotic astrocytes (2.34 time-fold) among the NMO group compared to the HCs. These observations align with a previous work by Brill et al., which showed an increase in apoptosis and BID expression levels in peripheral blood mononuclear cells (PBMCs) of NMO patients compared to HCs [56]. Additionally, we found a significant negative correlation between annexin levels or BID expression of mouse astrocytes cultured with sera of NMO patients and their volumetric MRI data. Liu et al. observed lower brain volume in NMO patients compared to HCs [57]. Previous works suggested a correlation between brain atrophy and cognitive impairment in NMO patients [58,59]. Our data show that sera of seropositive NMO patients induce more apoptosis of astrocytes in vitro and suggest that a mechanism of programmed astrocytic death by apoptosis might be implicated in the pathology of NMO.
BID is a regulator of the apoptotic process. In response to apoptotic signaling, BID interacts with other Bcl-2 family proteins, such as BAX. We found higher expression of BAX in astrocytes cultured with sera of NMO patients compared to HCs. BAX has previously been implicated in mediating nitric oxide-induced apoptosis in astrocytes of the cerebral cortex and the optic nerve through a tp53-dependent pathway [60,61,62]. To initiate apoptosis and activate BAX, BID must be trunked into trunked(t)-BID [63]. It can be due to cues from the extrinsic pathway (such as FADD), the granzyme B pathway, or due to DNA damage response [64]. Our data showed a higher expression of tp53 in astrocytes cultured with sera of NMO patients compared to HCs. Using H2AX staining, we found that sera of NMO patients led to higher levels of DNA damage in astrocytes compared to sera of HCs. It is possible that one of the signals leading to higher apoptosis in astrocytes cultured with NMO sera is DNA damage (Figure 8). DNA damage leads to activation of cell-cycle regulator tp53, which might lead to BID activation and initiation of the intrinsic pathway.
BID also has a role in inflammation and innate immunity [33]. It is suggested that BID is important for the ability to respond to local or systemic exposure to infection [33]. To do so, BID interacts directly with NOD-1 and activates nuclear factor kappa B (NFκB) and ERK pathways [33]. NOD-1 acts as a pattern-recognition receptor that binds bacterial peptidoglycans and initiates inflammation [65,66]. Previous work has shown that activation of NOD-1 in PBMCs of NMO patients increased IL-6 levels [67]. We found that NOD-1 is upregulated in astrocytes cultured with NMO sera compared to HCs. Once activated, NOD-1 can interact with TLR4 and is involved in innate immune activation [33,40,41]. Interestingly, three of the leading pathways found in the nCounter analysis are TLR signaling pathway, IL-6 production, and apoptotic process.
Our data reveal that TLR4 is upregulated in astrocytes cultured with sera of NMO patients at the mRNA expression level. It was previously reported that using bacterial lipopolysaccharide (LPS), a typical TLR4 activator, astrocytes are activated and induce a complex set of molecular reactions mediated by NFκB, mitogen-activated protein kinase (MAPK), and Jak1/Stat1 signaling pathways [68]. This cascade may lead to both pro-inflammatory and anti-inflammatory signals. The use of TLR4 agonist has shown to lead to higher secretion of pro-inflammatory mediators (such as IL-6, IL-17, and IL-1b) and to impede secretion of anti-inflammatory IL-10 in PBMCs of NMO patients [69,70]. Haase et al. showed that macrophages deficient for TLR4 diminished Yersinia-induced apoptosis [39]. They also showed that the extended stimulation of overexpressed TLR4 elicited cellular death in epithelial cells. These suggest the implication of TLR4 not only in the immune response but also in the apoptotic process.
Demyelination and oligodendrocytes loss are two of the most important pathological processes leading to disability in NMO patients [30]. Both pathological events are considered secondary damage to astrocyte dysfunction or inflammatory bystander damage [71]. The crosstalk of astrocytes and oligodendrocytes in the CNS is complex and may lead to different outcomes [72]. Astrocytes can secrete detrimental factors (such as hyaluronan or fibronectin), which may halt remyelination and differentiation of oligodendrocyte progenitor cells into mature myelinating oligodendrocytes [73,74,75,76]. On the other hand, astrocytes play a major role in the homeostatic support of oligodendrocytes and secrete beneficial factors to promote remyelination (such as CXCL12 and IGF-1) [77,78]. We suggest that astrocytic apoptosis may lead to a breach of the homeostatic balance and support of oligodendrocytes, thus, eventually leading to loss of oligodendrocytes and failure of remyelination. Theoretically, it is plausible that following damage and apoptosis, astrocytes are secreting detrimental factors that lead to apoptosis of oligodendrocytes. Moreover, the same BID-mediated apoptosis pathway may occur not only in astrocytes but also in oligodendrocytes of NMO patients. This hypothesis is difficult to assess due to the lack of an animal model for NMO and the technical difficulties in co-culture experiments of both cells.
Upon injury, astrocytes may increase the expression of anti-inflammatory or pro-synaptogenesis genes. We found that IL-15 is highly expressed in NMO-cultured astrocytes compared to HCs. Its expression is known to be related to NMO progression: high expression is implicated in reduced lesion size, attenuation of BBB leakage and tight junctions lost, reduced brain infiltration of immune cell subsets, and promotion of astrocytes survival [47]. IL-15 induces the activation of JAK1. Studies suggested that this cytokine may increase the expression of apoptosis inhibitor BCL2L1/BCL-x(L) [48]. These data suggest that exposure of astrocytes to NMO sera prompts not only damage cascade, but also a repair process, which may eventually serve as a therapeutic target. Targeting astrocytes with treatments that may induce IL-15 expression may serve as a potential treatment for ON and NMO [79,80].
Further potential therapeutic intervention may be the inhibition of astrocytic apoptosis. Inhibition of cysteine cathepsin B and L in astrocytes was reported to contribute to neuroprotection against cerebral ischemia via blocking the t-BID-mitochondrial apoptotic pathway [81]. Other small molecules such as BI-6C9 or idebenone were previously suggested as inhibitors of BID or BAX-induced apoptosis [61,82]. However, there is a potential risk in inhibiting programmed apoptosis instead of targeting the reason that initiated the process.
The limitations of this study are the relatively small cohort and the use of mouse primary astrocytes. Although, we used both human and mouse cells for the immunological expression data.
In conclusion, we showed that following exposure to sera from seropositive NMO patients, there is an increased expression of both immunological and apoptosis-related genes in astrocytes. Astrocytes undergo more apoptosis and gain DNA damage upon exposure to NMO sera. Our data contribute to the current knowledge regarding astrocytic destruction in NMO pathology, suggesting apoptosis as one of the implicated mechanisms in the primary pathology in NMO. These findings may provide new avenues for therapeutic intervention and furnish a better understanding of disease pathogenesis.
4. Materials and Methods
4.1. Approvals
The Hadassah Medical Organization Ethics Committee approved this study. All subjects provided written informed consent (0589-08-HMO). The research reported in this study complied with all relevant ethical regulations for animal testing and research and was approved by the Hebrew University Institutional Animal Care and Use Committee (MD-20-16227-1).
4.2. Subjects
The patients cohort included 35 NMO patients (26 females, 9 males; mean age at diagnosis 41.9 ± 16.9 years; disease duration 9.4 ± 5.2 years; EDSS 4.47 ± 2.4) and 28 healthy individuals who served as controls (16 females, 10 males; mean age 40.5 ± 15.9 years). All patients were followed at the Neurology clinic in the Neurology Department of Hadassah Medical Center, Jerusalem, Israel. The participants’ characteristics were obtained from medical files from the Neurology clinic. All NMO patients were diagnosed according to 2015 diagnostic criteria [5], and were tested positive to anti-AQP4.
4.3. Gene Expression Array and Bioinformatics Analysis
A large-scale gene expression array was performed by utilizing NanoString nCounter technology (NanoString Technologies Inc., Seattle, WA, USA). Total RNA was extracted from human astrocytes (LONZA, Haifa, Israel) cultured with sera of NMO patients and HCs using Tri Reagent BD (Sigma–Aldrich, Rehovot, Israel). Samples were analyzed for 580 immunology genes with the nCounter code set panel (NanoString Technologies Inc., Seattle, WA, USA). The assay is based on direct digital detection of mRNA molecules of interest with the aid of target-specific, color-coded probe pairs, without the use of reverse transcription or amplification. Raw data (following control and reference gene normalization) is analyzed with nsolver analysis software. Following hierarchical clustering, GO pathway enrichment analysis is used to define pathways related to these genes [83]. The Database for Annotation, Visualization and Integrated Discovery (DAVID) [29] was used to study shared biological processes of significant differential genes (https://david.ncifcrf.gov, RRID:SCR_001881, Date: 31 May 2022).
4.4. Mouse Primary Astrocytes Culture
Mouse primary astrocytes were isolated from naïve P0 to P1 neonatal C57/BL6 mice cortices as previously described by Chen et al. [84], with minor modifications [85,86]. Briefly, a mixed glial culture isolated from neonatal mice was grown for 8 days in Dulbecco’s modified Eagle’s medium (DMEM) low glucose (Biological Industries, Kibbutz Beit-Haemek, Israel) supplemented with 5% fetal bovine serum (Biological Industries, Kibbutz Beit-Haemek, Israel), 1 mM sodium pyruvate (Biological Industries, Kibbutz Beit-Haemek, Israel), 1 mM L-glutamine (Sigma–Aldrich, Rehovot, Israel) and 0.6% Gentamycin Sulfate (Biological Industries, Kibbutz Beit-Haemek, Israel). Culture medium was replaced every 2 days. After 8 days, microglia were detached by 30 min shaking at 140 rpm using an orbital shaker. After medium was removal, a new fresh culture medium was added, and OPCs at the top of the astrocyte monolayer were detached by shaking for 18 h at 200 rpm. Media was replaced and astrocytes were grown for further 7 days. Cells were detached from flasks using TrypLE (Thermo Fisher Scientific, Waltham, MA, USA). All cultures expressed high level of GFAP (mean of 96.6% GFAP+ cells, Figure S1).
4.5. Apoptosis Assay
Cells were seeded in plates for 24 h. Then, media was replaced for DMEM low glucose (Biological Industries, Kibbutz Beit-Haemek, Israel) supplemented with 1 mM sodium pyruvate (Biological Industries, Kibbutz Beit-Haemek, Israel), 1 mM L-glutamine (Sigma–Aldrich, Rehovot, Israel) and 0.6% Gentamycin Sulfate (Biological Industries, Kibbutz Beit-Haemek, Israel). Human sera of either NMO patients or HCs (20% of media) were added into mouse primary astrocytes media for 72 h. Apoptosis was assessed by Annexin V detection kit (Cat# BG-62700, EMELCA Bioscience, Clinge, The Netherlands). All fluorescence-activated cell sorting (FACS) samples were analyzed in a Beckman coulter FC500 apparatus using the CXP software. Each assay was repeated independently at least three times.
4.6. DNA Damage Assay
Cells were seeded in plates for 24 h. Then, media was replaced for DMEM low glucose (Biological Industries, Kibbutz Beit-Haemekm Israel) supplemented with 1 mM sodium pyruvate (Biological Industries, Kibbutz Beit-Haemek, Israel), 1 mM L-glutamine (Sigma–Aldrich, Rehovot, Israel) and 0.6% Gentamycin Sulfate (Biological Industries, Kibbutz Beit-Haemek, Israel). Human sera of either NMO patients or HCs (20% of media) were added into mouse primary astrocytes media for 48 h. Then, DNA damage response was evaluated using anti-H2AX (Cat# sc-517348, Santa Cruz biotechnology Inc., Dallas, TX, USA, 1:100). Each assay was repeated independently at least three times.
4.7. RNA Isolation and Reverse Transcription
Mouse primary astrocytes were cultured with 10% human CSF for 24 h. RNA was extracted from cultured astrocytes using Tri-reagent (Sigma–Aldrich, Rehovot, Israel) as previously described [87,88]. The cDNA was synthesized from 250 ng total RNA using the qScript cDNA Synthesis Kit (Quanta Biosciences, Gaithersburg, MD, USA). Quantitative polymerase chain reaction (PCR) was performed using PerfeCTa SYBR Green FastMix Rox (Quanta Biosciences, Gaithersburg, MD, USA). Gene amplification was carried out using the StepOnePlus real-time PCR system (Applied Biosystems, Waltham, MA, USA). The threshold cycle value (2−ΔCT) was used for statistical analysis. All target mRNAs were normalized to the Hypoxanthine-guanine phosphoribosyltransferase (HPRT) reference gene. At least three independent experiments were performed; expression of each gene was evaluated in triplicate and is presented as mean mRNA relative quantification ± SD.
Primers used (Agentek, Yakum, Israel):
HPRT F: 5′ CATGGACTGATTATGGACGGAC R: 5′ ACAGAGGGCCACAATGTGATG
BH3-Interacting Domain Death Agonist (BID) F: 5′ GGCTCCTCAGTCCATCTGGTT R: 5′ GCCAGTCACGCACCATCT
Tp53 F: R: F: 5′ GAGGGAGCTCGAGGCTGATAT F: 5′ TTCTCCGAAGACTGGATGACTG
Nucleotide-Binding Oligomerization Domain Containing (NOD)-1 F: 5′ TGAGGAGCAACCTAGGACAAAG R: 5′ CAGCCATAACAGAGATTTGTCTC
Interleukin (IL-)15 F: 5′ AGCCTACAGGAGGCCAAGAA R: 5′ AATGCCCAGGTAAGAGCTTCAA
Janus Kinase 1 (JAK1) F: 5′ GCTCCACTACCGCATGAGGTT R: 5′ TGGAGAATGTCGCCATACAGAC
TLR-4: F: 5′ TGATGACATTCCTTCTTCAACCA R: 5′ TGGTTGAAGAAGGAATGTCATCA
BCL2 Associated X (BAX): F: 5′ AGTGCACAGGGCCTTGAG R: 5′ GCGTGGTTGCCCTCTICT
4.8. Immunostaining
For intra-cellular markers, staining was performed on living cells followed by fixation and permeabilization. Anti-Glial fibrillary acidic protein (GFAP; Cat# Z0334, RRID: AB_10013382, Agilent, Santa Clara, CA, USA, 1:50) was used to identify astrocytes, anti-H2AX (Cat# sc-517348, RRID:AB_2783871, Santa Cruz biotechnology Inc., Dallas, TX, USA, 1:100) was used for evaluation of DNA damage response. Goat anti-rabbit Alexa Fluor 488 (Cat# A-11034, RRID: AB_2576217, Invitrogen, Thermo Fisher Scientific, Waltham, MA, USA, 1:200) and goat anti-mouse Alexa Fluor 555 (Cat# A28180, RRID:AB_2536164, Invitrogen, Thermo Fisher Scientific, Waltham, MA, USA, 1:200) were used as secondary antibodies appropriately. Nuclei were counterstained with 4′,6-diamidino-2-phenylindole (DAPI; Cat# H-1200, RRID:AB_2336790, Vector Laboratories, Burlingame, CA, USA). Quantification was performed using ImageJ software (NIH, public domain software) by measuring positively stained cells relative to total DAPI. Quantifications are represented as mean percentages from total DAPI+ cells ± SD and are from at least 15 random fields captured in three or more independent experiments.
4.9. MRI Data Acquisition, Processing, and Analysis
Brain MRIs were acquired using demyelination protocol [89]. T1-weighted images were acquired using MRI scanners at Hadassah Ein Kerem medical center as described before [90]. Volumetric data were extracted using volBrain (http://volbrain.upv.es, Date: 1 December 2021) platform. VolBrain software contains advanced pipelines and automatically provides volumetric information of the brain MR images at different scales [91]. Volbrain provide volumes of total brain, total white matter, total gray matter, cerebrum, cerebellum, brainstem, lateral ventricles, caudate, putamen, thalamus, globus pallidus, hippocampus, amygdala, and nucleus accumbens.
4.10. Statistical Analyses
Unpaired two-tailed student’s t-test, one-way ANOVA with Tukey’s multiple comparisons post hoc test, Mann–Whitney, and Pearson correlation tests were performed. Specific tests are noted in figure legends with significance level annotations. Values are provided as mean ± SD, or as described for each figure. All error bars represent standard deviation.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms23137117/s1.
Author Contributions
Conceptualization, O.Z., L.B. and A.V.-D.; Methodology, O.Z., L.B. and A.V.-D.; Validation, O.Z.; Formal Analysis, O.Z., L.B., A.R., N.H., T.C. and I.L.; Investigation, O.Z., L.B., A.R., N.H., T.C. and I.L.; Data Curation, O.Z.; Writing—Original Draft Preparation, O.Z., I.A., L.B. and A.V.-D.; Writing—Review & Editing, O.Z., I.A., L.B. and A.V.-D.; Visualization, O.Z.; Supervision, L.B. and A.V.-D. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Institutional Ethics Committee of Hadassah Medical Organization (0589-08-HMO). The research reported in this study complied with all relevant ethical regulations for animal testing and research and was approved by the Hebrew University Institutional Animal Care and Use Committee (MD-20-16227-1).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
Funding Statement
This research received no external funding.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Toosy A.T., Mason D.F., Miller D.H. Optic neuritis. Lancet Neurol. 2014;13:83–99. doi: 10.1016/S1474-4422(13)70259-X. [DOI] [PubMed] [Google Scholar]
- 2.Beck R.W., Sellers B.J., Cleary P.A., Backlund J.Y.C., Becker D., Kenny D., Dunbar J., Optic Neuritis Study Group The Clinical Profile of Optic Neuritis. Arch. Ophthalmol. 1991;109:1673–1678. doi: 10.1001/archopht.1991.01080120057025. [DOI] [PubMed] [Google Scholar]
- 3.Jarius S., Ruprecht K., Kleiter I., Borisow N., Asgari N., Pitarokoili K., Pache F., Stich O., Beume L.A., Hümmert M.W., et al. MOG-IgG in NMO and related disorders: A multicenter study of 50 patients. Part 2: Epidemiology, clinical presentation, radiological and laboratory features, treatment responses, and long-term outcome. J. Neuroinflamm. 2016;13:280. doi: 10.1186/s12974-016-0718-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Jarius S., Ruprecht K., Wildemann B., Kuempfel T., Ringelstein M., Geis C., Kleiter I., Kleinschnitz C., Berthele A., Brettschneider J., et al. Contrasting disease patterns in seropositive and seronegative neuromyelitis optica: A multicentre study of 175 patients. J. Neuroinflamm. 2012;9:14. doi: 10.1186/1742-2094-9-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Wingerchuk D.M., Banwell B., Bennett J.L., Cabre P., Carroll W., Chitnis T., De Seze J., Fujihara K., Greenberg B., Jacob A., et al. International consensus diagnostic criteria for neuromyelitis optica spectrum disorders. Neurology. 2015;85:177–189. doi: 10.1212/WNL.0000000000001729. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Lennon P.V.A., Wingerchuk D.M., Kryzer T.J., Pittock S.J., Lucchinetti C.F., Fujihara K., Nakashima I., Weinshenker B.G. A serum autoantibody marker of neuromyelitis optica: Distinction from multiple sclerosis. Lancet. 2004;364:2106–2112. doi: 10.1016/S0140-6736(04)17551-X. [DOI] [PubMed] [Google Scholar]
- 7.Bradl M., Misu T., Takahashi T., Watanabe M., Mader S., Reindl M., Adzemovic M., Bauer J., Berger T., Fujihara K., et al. Neuromyelitis optica: Pathogenicity of patient immunoglobulin in vivo. Ann. Neurol. 2009;66:630–643. doi: 10.1002/ana.21837. [DOI] [PubMed] [Google Scholar]
- 8.Oh J., Levy M. Neuromyelitis Optica: An Antibody-Mediated Disorder of the Central Nervous System. Neurol. Res. Int. 2012;2012:460825. doi: 10.1155/2012/460825. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Nielsen S., Nagelhus E.A., Amiry-Moghaddam M., Bourque C., Agre P., Ottersen O.P. Specialized Membrane Domains for Water Transport in Glial Cells: High-Resolution Immunogold Cytochemistry of Aquaporin-4 in Rat Brain. J. Neurosci. 1997;17:171–180. doi: 10.1523/JNEUROSCI.17-01-00171.1997. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Psenicka M.W., Smith B.C., Tinkey R.A., Williams J.L. Connecting Neuroinflammation and Neurodegeneration in Multiple Sclerosis: Are Oligodendrocyte Precursor Cells a Nexus of Disease? Front. Cell. Neurosci. 2021;15:221. doi: 10.3389/fncel.2021.654284. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Allen N.J., Bennett M., Foo L.C., Wang G., Chakraborty C., Smith S.J., Barres B.A. Astrocyte glypicans 4 and 6 promote formation of excitatory synapses via GluA1 AMPA receptors. Nature. 2012;486:410–414. doi: 10.1038/nature11059. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Alvarez J.I., Dodelet-Devillers A., Kebir H., Ifergan I., Fabre P.J., Terouz S., Sabbagh M., Wosik K., Bourbonnière L., Bernard M., et al. The Hedgehog Pathway Promotes Blood-Brain Barrier Integrity and CNS Immune Quiescence. Science. 2011;334:1727–1731. doi: 10.1126/science.1206936. [DOI] [PubMed] [Google Scholar]
- 13.Chung W.-S., Clarke L.E., Wang G.X., Stafford B.K., Sher A., Chakraborty C., Joung J., Foo L.C., Thompson A., Chen C., et al. Astrocytes mediate synapse elimination through MEGF10 and MERTK pathways. Nature. 2013;504:394–400. doi: 10.1038/nature12776. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Molofsky A.V., Kelley K.W., Tsai H.-H., Redmond S.A., Chang S.M., Madireddy L., Chan J.R., Baranzini S.E., Ullian E.M., Rowitch D.H. Astrocyte-encoded positional cues maintain sensorimotor circuit integrity. Nature. 2014;509:189–194. doi: 10.1038/nature13161. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Tsai H.-H., Li H., Fuentealba L.C., Molofsky A.V., Taveira-Marques R., Zhuang H., Tenney A., Murnen A.T., Fancy S.P.J., Merkle F., et al. Regional Astrocyte Allocation Regulates CNS Synaptogenesis and Repair. Science. 2012;337:358–362. doi: 10.1126/science.1222381. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Farina C., Aloisi F., Meinl E. Astrocytes are active players in cerebral innate immunity. Trends Immunol. 2007;28:138–145. doi: 10.1016/j.it.2007.01.005. [DOI] [PubMed] [Google Scholar]
- 17.Chakraborty S., Kaushik D.K., Gupta M., Basu A. Inflammasome signaling at the heart of central nervous system pathology. J. Neurosci. Res. 2010;88:1615–1631. doi: 10.1002/jnr.22343. [DOI] [PubMed] [Google Scholar]
- 18.Carpentier P.A., Begolka W.S., Olson J.K., Elhofy A., Karpus W.J., Miller S.D. Differential activation of astrocytes by innate and adaptive immune stimuli. Glia. 2004;49:360–374. doi: 10.1002/glia.20117. [DOI] [PubMed] [Google Scholar]
- 19.Oh J.-W., Schwiebert L.M., Benveniste E.N. Cytokine regulation of CC and CXC chemokine expression by human astrocytes. J. Neurovirol. 1999;5:82–94. doi: 10.3109/13550289909029749. [DOI] [PubMed] [Google Scholar]
- 20.Paul S., Mondal G.P., Bhattacharyya R., Ghosh K.C., Bhat I.A. Neuromyelitis optica spectrum disorders. J. Neurol. Sci. 2021;420:117225. doi: 10.1016/j.jns.2020.117225. [DOI] [PubMed] [Google Scholar]
- 21.Jarius S., Wildemann B. AQP4 antibodies in neuromyelitis optica: Diagnostic and pathogenetic relevance. Nat. Rev. Neurol. 2010;6:383–392. doi: 10.1038/nrneurol.2010.72. [DOI] [PubMed] [Google Scholar]
- 22.Jarius S., Paul F., Franciotta D., Waters P., Zipp F., Hohlfeld R., Vincent A., Wildemann B. Mechanisms of Disease: Aquaporin-4 antibodies in neuromyelitis optica. Nat. Clin. Pract. Cardiovasc. Med. 2008;4:202–214. doi: 10.1038/ncpneuro0764. [DOI] [PubMed] [Google Scholar]
- 23.Hardy T.A., Reddel S.W., Barnett M.H., Palace J., Lucchinetti C.F., Weinshenker B.G. Atypical inflammatory demyelinating syndromes of the CNS. Lancet Neurol. 2016;15:967–981. doi: 10.1016/S1474-4422(16)30043-6. [DOI] [PubMed] [Google Scholar]
- 24.Asgari N., Lillevang S.T., Skejoe H.P.B., Falah M., Stenager E., Kyvik K.O. A population-based study of neuromyelitis optica in Caucasians. Neurology. 2011;76:1589–1595. doi: 10.1212/WNL.0b013e3182190f74. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Wingerchuk D.M., Lennon V.A., Lucchinetti C.F., Pittock S.J., Weinshenker B.G. The spectrum of neuromyelitis optica. Lancet Neurol. 2007;6:805–815. doi: 10.1016/S1474-4422(07)70216-8. [DOI] [PubMed] [Google Scholar]
- 26.Jasiak-Zatonska M., Kalinowska-Lyszczarz A., Michalak S., Kozubski W. The Immunology of Neuromyelitis Optica—Current Knowledge, Clinical Implications, Controversies and Future Perspectives. Int. J. Mol. Sci. 2016;17:273. doi: 10.3390/ijms17030273. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Levy M., Wildemann B., Jarius S., Orellano B., Sasidharan S., Weber M.S., Stuve O. Immunopathogenesis of Neuromyelitis Optica. Adv. Immunol. 2014;121:213–242. doi: 10.1016/b978-0-12-800100-4.00006-4. [DOI] [PubMed] [Google Scholar]
- 28.Lucchinetti C.F., Mandler R.N., McGavern D., Bruck W., Gleich G., Ransohoff R.M., Trebst C., Weinshenker B., Wingerchuk D., Parisi J.E., et al. A role for humoral mechanisms in the pathogenesis of Devic’s neuromyelitis optica. Brain. 2002;125:1450–1461. doi: 10.1093/brain/awf151. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Huang D.W., Sherman B.T., Lempicki R.A. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat. Protoc. 2009;4:44–57. doi: 10.1038/nprot.2008.211. [DOI] [PubMed] [Google Scholar]
- 30.Jarius S., Paul F., Weinshenker B.G., Levy M., Kim H.J., Wildemann B. Neuromyelitis Optica. Nat. Rev. Dis. Primers. 2020;6:85. doi: 10.1038/s41572-020-0214-9. [DOI] [PubMed] [Google Scholar]
- 31.Wang K., Yin X.M., Chao D.T., Milliman C.L., Korsmeyer S.J. BID: A novel BH3 domain-only death agonist. Genes Dev. 1996;10:2859–2869. doi: 10.1101/gad.10.22.2859. [DOI] [PubMed] [Google Scholar]
- 32.Zinkel S.S., Hurov K.E., Ong C., Abtahi F.M., Gross A., Korsmeyer S.J. A Role for Proapoptotic BID in the DNA-Damage Response. Cell. 2005;122:579–591. doi: 10.1016/j.cell.2005.06.022. [DOI] [PubMed] [Google Scholar]
- 33.Yeretssian G., Correa R., Doiron K., Fitzgerald P., Dillon C.P., Green D., Reed J.C., Saleh M. Non-apoptotic role of BID in inflammation and innate immunity. Nature. 2011;474:96–99. doi: 10.1038/nature09982. [DOI] [PubMed] [Google Scholar]
- 34.Nachbur U., Vince J.E., O’Reilly L.A., Strasser A., Silke J. Is BID required for NOD signalling? Nature. 2012;488:E4–E6. doi: 10.1038/nature11366. [DOI] [PubMed] [Google Scholar]
- 35.Schuler M., Green D.R. Mechanisms of p53-dependent apoptosis. Biochem. Soc. Trans. 2001;29:684–688. doi: 10.1042/bst0290684. [DOI] [PubMed] [Google Scholar]
- 36.Sax J.K., Fei P., Murphy M.E., Bernhard E., Korsmeyer S.J., El-Deiry W.S. BID regulation by p53 contributes to chemosensitivity. Nat. Curell Biol. 2002;4:842–849. doi: 10.1038/ncb866. [DOI] [PubMed] [Google Scholar]
- 37.Tatematsu M., Yoshida R., Morioka Y., Ishii N., Funami K., Watanabe A., Saeki K., Seya T., Matsumoto M. Raftlin Controls Lipopolysaccharide-Induced TLR4 Internalization and TICAM-1 Signaling in a Cell Type–Specific Manner. J. Immunol. 2016;196:3865–3876. doi: 10.4049/jimmunol.1501734. [DOI] [PubMed] [Google Scholar]
- 38.Marta M. Toll-like Receptors in Multiple Sclerosis Mouse Experimental Models. Ann. N. Y. Acad. Sci. 2009;1173:458–462. doi: 10.1111/j.1749-6632.2009.04849.x. [DOI] [PubMed] [Google Scholar]
- 39.Haase R., Kirschning C.J., Sing A., Schröttner P., Fukase K., Kusumoto S., Wagner H., Heesemann J., Ruckdeschel K. A Dominant Role of Toll-Like Receptor 4 in the Signaling of Apoptosis in Bacteria-Faced Macrophages. J. Immunol. 2003;171:4294–4303. doi: 10.4049/jimmunol.171.8.4294. [DOI] [PubMed] [Google Scholar]
- 40.Correa R.G., Milutinovic S., Reed J.C. Roles of NOD1 (NLRC1) and NOD2 (NLRC2) in innate immunity and inflammatory diseases. Biosci. Rep. 2012;32:597–608. doi: 10.1042/BSR20120055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Farzi A., Reichmann F., Meinitzer A., Mayerhofer R., Jain P., Hassan A., Fröhlich E.E., Wagner K., Painsipp E., Rinner B., et al. Synergistic effects of NOD1 or NOD2 and TLR4 activation on mouse sickness behavior in relation to immune and brain activity markers. Brain Behav. Immun. 2014;44:106–120. doi: 10.1016/j.bbi.2014.08.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Gomez-Nicola D., Valle-Argos B., Pita-Thomas D.W., Nieto-Sampedro M. Interleukin 15 expression in the CNS: Blockade of its activity prevents glial activation after an inflammatory injury. Glia. 2008;56:494–505. doi: 10.1002/glia.20628. [DOI] [PubMed] [Google Scholar]
- 43.Li H.-D., Li M., Shi E., Jin W.-N., Wood K., Gonzales R., Liu Q. A translocator protein 18 kDa agonist protects against cerebral ischemia/reperfusion injury. J. Neuroinflamm. 2017;14:151. doi: 10.1186/s12974-017-0921-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Li M., Li Z., Ren H., Jin W.-N., Wood K., Liu Q., Sheth K.N., Shi F.-D. Colony stimulating factor 1 receptor inhibition eliminates microglia and attenuates brain injury after intracerebral hemorrhage. J. Cereb. Blood Flow Metab. 2016;37:2383–2395. doi: 10.1177/0271678X16666551. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Li M., Li Z., Yao Y., Jin W.-N., Wood K., Liu Q., Shi F.-D., Hao J. Astrocyte-derived interleukin-15 exacerbates ischemic brain injury via propagation of cellular immunity. Proc. Natl. Acad. Sci. USA. 2017;114:E396–E405. doi: 10.1073/pnas.1612930114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Saikali P., Antel J.P., Pittet C.L., Newcombe J., Arbour N. Contribution of Astrocyte-Derived IL-15 to CD8 T Cell Effector Functions in Multiple Sclerosis. J. Immunol. 2010;185:5693–5703. doi: 10.4049/jimmunol.1002188. [DOI] [PubMed] [Google Scholar]
- 47.Li Z., Han J., Ren H., Ma C.-G., Shi F.-D., Liu Q., Li M. Astrocytic Interleukin-15 Reduces Pathology of Neuromyelitis Optica in Mice. Front. Immunol. 2018;9:523. doi: 10.3389/fimmu.2018.00523. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Zheng X., Wang Y., Wei H., Ling B., Sun R., Tian Z. Bcl-xL is associated with the anti-apoptotic effect of IL-15 on the survival of CD56dim natural killer cells. Mol. Immunol. 2008;45:2559–2569. doi: 10.1016/j.molimm.2008.01.001. [DOI] [PubMed] [Google Scholar]
- 49.Domercq M., Etxebarria E., Pérez-Samartín A., Matute C. Excitotoxic oligodendrocyte death and axonal damage induced by glutamate transporter inhibition. Glia. 2005;52:36–46. doi: 10.1002/glia.20221. [DOI] [PubMed] [Google Scholar]
- 50.Wilke S., Thomas R., Allcock N., Fern R. Mechanism of Acute Ischemic Injury of Oligodendroglia in Early Myelinating White Matter: The Importance of Astrocyte Injury and Glutamate Release. J. Neuropathol. Exp. Neurol. 2004;63:872–881. doi: 10.1093/jnen/63.8.872. [DOI] [PubMed] [Google Scholar]
- 51.Hinson S.R., Roemer S.F., Lucchinetti C.F., Fryer J.P., Kryzer T.J., Chamberlain J.L., Howe C., Pittock S.J., Lennon V.A. Aquaporin-4–binding autoantibodies in patients with neuromyelitis optica impair glutamate transport by down-regulating EAAT 2. J. Exp. Med. 2008;205:2473–2481. doi: 10.1084/jem.20081241. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Papadopoulos M.C., Kim J.K., Verkman A. Extracellular Space Diffusion in Central Nervous System: Anisotropic Diffusion Measured by Elliptical Surface Photobleaching. Biophys. J. 2005;89:3660–3668. doi: 10.1529/biophysj.105.068114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Hickman S.J., Toosy A.T., Jones S.J., Altmann D.R., Miszkiel K.A., MacManus D., Barker G., Plant G.T., Thompson A.J., Miller D.H. Serial magnetization transfer imaging in acute optic neuritis. Brain. 2003;127:692–700. doi: 10.1093/brain/awh076. [DOI] [PubMed] [Google Scholar]
- 54.Ludwin S.K. Phagocytosis in the rat optic nerve following Wallerian degeneration. Acta Neuropathol. 1990;80:266–273. doi: 10.1007/BF00294644. [DOI] [PubMed] [Google Scholar]
- 55.Saini H., Fernandez G., Kerr D., Levy M. Differential expression of aquaporin-4 isoforms localizes with neuromyelitis optica disease activity. J. Neuroimmunol. 2010;221:68–72. doi: 10.1016/j.jneuroim.2010.02.007. [DOI] [PubMed] [Google Scholar]
- 56.Brill L., Lavon I., Vaknin-Dembinsky A. Reduced expression of the IL7Ra signaling pathway in Neuromyelitis optica. J. Neuroimmunol. 2018;324:81–89. doi: 10.1016/j.jneuroim.2018.08.011. [DOI] [PubMed] [Google Scholar]
- 57.Liu Y., Fu Y., Schoonheim M.M., Zhang N., Fan M., Su L., Shen Y., Yan Y., Yang L., Wang Q., et al. Structural MRI substrates of cognitive impairment in neuromyelitis optica. Neurology. 2015;85:1491–1499. doi: 10.1212/WNL.0000000000002067. [DOI] [PubMed] [Google Scholar]
- 58.Cao G., Duan Y., Zhang N., Sun J., Li H., Li Y., Li Y., Zeng C., Han X., Zhou F., et al. Brain MRI characteristics in neuromyelitis optica spectrum disorders: A large multi-center retrospective study in China. Mult. Scler. Relat. Disord. 2020;46:102475. doi: 10.1016/j.msard.2020.102475. [DOI] [PubMed] [Google Scholar]
- 59.Hyun J.-W., Park G., Kwak K., Jo H.-J., Joung A., Kim J.-H., Lee S.H., Kim S.-H., Lee J.-M., Kim H.J. Deep gray matter atrophy in neuromyelitis optica spectrum disorder and multiple sclerosis. Eur. J. Neurol. 2016;24:437–445. doi: 10.1111/ene.13224. [DOI] [PubMed] [Google Scholar]
- 60.Yung H.W., Bal-Price A.K., Brown G.C., Tolkovsky A.M. Nitric oxide-induced cell death of cerebrocortical murine astrocytes is mediated through p53- and Bax-dependent pathways. J. Neurochem. 2004;89:812–821. doi: 10.1111/j.1471-4159.2004.02395.x. [DOI] [PubMed] [Google Scholar]
- 61.Kernt M., Arend N., Buerger A., Mann T., Haritoglou C., Ulbig M.W., Kampik A., Hirneiss C. Idebenone Prevents Human Optic Nerve Head Astrocytes From Oxidative Stress, Apoptosis, and Senescence by Stabilizing BAX/Bcl-2 Ratio. J. Glaucoma. 2013;22:404–412. doi: 10.1097/IJG.0b013e31824caf90. [DOI] [PubMed] [Google Scholar]
- 62.Giffard R.G., Swanson R.A. Ischemia-induced programmed cell death in astrocytes. Glia. 2005;50:299–306. doi: 10.1002/glia.20167. [DOI] [PubMed] [Google Scholar]
- 63.Zhai D., Luciano F., Zhu X., Guo B., Satterthwait A.C., Reed J.C. Humanin Binds and Nullifies Bid Activity by Blocking Its Activation of Bax and Bak. J. Biol. Chem. 2005;280:15815–15824. doi: 10.1074/jbc.M411902200. [DOI] [PubMed] [Google Scholar]
- 64.Renshaw S., Dempsey C.E., Barnes F.A., Bagstaff S.M., Dower S.K., Bingle C., Whyte M.K.B. Three Novel Bid Proteins Generated by Alternative Splicing of the Human Bid Gene. J. Biol. Chem. 2004;279:2846–2855. doi: 10.1074/jbc.M309769200. [DOI] [PubMed] [Google Scholar]
- 65.Strober W., Murray P.J., Kitani A., Watanabe T. Signalling pathways and molecular interactions of NOD1 and NOD2. Nat. Rev. Immunol. 2006;6:9–20. doi: 10.1038/nri1747. [DOI] [PubMed] [Google Scholar]
- 66.Chamaillard M., Hashimoto M., Horie Y., Masumoto J., Qiu S., Saab L., Ogura Y., Kawasaki A., Fukase K., Kusumoto S., et al. An essential role for NOD1 in host recognition of bacterial peptidoglycan containing diaminopimelic acid. Nat. Immunol. 2003;4:702–707. doi: 10.1038/ni945. [DOI] [PubMed] [Google Scholar]
- 67.Wang H., Wang K., Wang C., Xu F., Qiu W., Hu X. Increased Plasma Interleukin-32 Expression in Patients with Neuromyelitis Optica. J. Clin. Immunol. 2013;33:666–670. doi: 10.1007/s10875-012-9837-2. [DOI] [PubMed] [Google Scholar]
- 68.Gorina R., Font-Nieves M., Márquez-Kisinousky L., Santalucia T., Planas A.M. Astrocyte TLR4 activation induces a proinflammatory environment through the interplay between MyD88-dependent NFκB signaling, MAPK, and Jak1/Stat1 pathways. Glia. 2010;59:242–255. doi: 10.1002/glia.21094. [DOI] [PubMed] [Google Scholar]
- 69.Barros P.O., Linhares U.C., Teixeira B., Kasahara T.M., Ferreira T.B., Alvarenga R., Hygino J., Silva-Filho R.G., Bittencourt V.C.B., Andrade R.M., et al. High in vitro immune reactivity to Escherichia coli in neuromyelitis optica patients is correlated with both neurological disabilities and elevated plasma lipopolysaccharide levels. Hum. Immunol. 2013;74:1080–1087. doi: 10.1016/j.humimm.2013.06.016. [DOI] [PubMed] [Google Scholar]
- 70.Dias A.S., Sacramento P.M., Lopes L.M., Sales M.C., Castro C., Araújo A.C.R., Ornelas A.M., Aguiar R.S., Silva-Filho R.G., Alvarenga R., et al. TLR-2 and TLR-4 agonists favor expansion of CD4+ T cell subsets implicated in the severity of neuromyelitis optica spectrum disorders. Mult. Scler. Relat. Disord. 2019;34:66–76. doi: 10.1016/j.msard.2019.06.018. [DOI] [PubMed] [Google Scholar]
- 71.Tradtrantip L., Yao X., Su T., Smith A.J., Verkman A.S. Bystander mechanism for complement-initiated early oligodendrocyte injury in neuromyelitis optica. Acta Neuropathol. 2017;134:35–44. doi: 10.1007/s00401-017-1734-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Domingues H., Portugal C., Socodato R., Relvas J.B. Oligodendrocyte, Astrocyte, and Microglia Crosstalk in Myelin Development, Damage, and Repair. Front. Cell Dev. Biol. 2016;4:71. doi: 10.3389/fcell.2016.00071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Sloane J.A., Batt C., Ma Y., Harris Z.M., Trapp B., Vartanian T. Hyaluronan blocks oligodendrocyte progenitor maturation and remyelination through TLR2. Proc. Natl. Acad. Sci. USA. 2010;107:11555–11560. doi: 10.1073/pnas.1006496107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Back S.A., Tuohy T.M.F., Chen H., Wallingford N., Craig A., Struve J., Luo N.L., Banine F., Liu Y., Chang A., et al. Hyaluronan accumulates in demyelinated lesions and inhibits oligodendrocyte progenitor maturation. Nat. Med. 2005;11:966–972. doi: 10.1038/nm1279. [DOI] [PubMed] [Google Scholar]
- 75.Šišková Z., Yong V.W., Nomden A., van Strien M., Hoekstra D., Baron W. Fibronectin attenuates process outgrowth in oligodendrocytes by mislocalizing MMP-9 activity. Mol. Cell. Neurosci. 2009;42:234–242. doi: 10.1016/j.mcn.2009.07.005. [DOI] [PubMed] [Google Scholar]
- 76.Stoffels J.M.J., de Jonge J.C., Stancic M., Nomden A., van Strien M.E., Ma D., Šišková Z., Maier O., Ffrench-Constant C., Franklin R.J.M., et al. Fibronectin aggregation in multiple sclerosis lesions impairs remyelination. Brain. 2013;136:116–131. doi: 10.1093/brain/aws313. [DOI] [PubMed] [Google Scholar]
- 77.Patel J.R., Williams J.L., Muccigrosso M.M., Liu L., Sun T., Rubin J.B., Klein R.S. Astrocyte TNFR2 is required for CXCL12-mediated regulation of oligodendrocyte progenitor proliferation and differentiation within the adult CNS. Acta Neuropathol. 2012;124:847–860. doi: 10.1007/s00401-012-1034-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Zeger M., Popken G., Zhang J., Xuan S., Lu Q.R., Schwab M.H., Nave K.-A., Rowitch D., D’Ercole A.J., Ye P. Insulin-like growth factor type 1 receptor signaling in the cells of oligodendrocyte lineage is required for normalin vivo oligodendrocyte development and myelination. Glia. 2006;55:400–411. doi: 10.1002/glia.20469. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Colpitts S.L., Stoklasek T.A., Plumlee C.R., Obar J.J., Guo C., Lefrançois L. Cutting Edge: The Role of IFN-α Receptor and MyD88 Signaling in Induction of IL-15 Expression In Vivo. J. Immunol. 2012;188:2483–2487. doi: 10.4049/jimmunol.1103609. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.DePaolo R.W., Abadie V., Tang F., Fehlnerpeach H., Hall J.A., Wang W., Marietta E.V., Kasarda D.D., Waldmann T.A., Murray J.A., et al. Co-adjuvant effects of retinoic acid and IL-15 induce inflammatory immunity to dietary antigens. Nature. 2011;471:220–224. doi: 10.1038/nature09849. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Xu M., Yang L., Rong J.-G., Ni Y., Gu W.-W., Luo Y., Ishidoh K., Katunuma N., Li Z.-S., Zhang H.-L. Inhibition of cysteine cathepsin B and L activation in astrocytes contributes to neuroprotection against cerebral ischemia via blocking the tBid-mitochondrial apoptotic signaling pathway. Glia. 2014;62:855–880. doi: 10.1002/glia.22645. [DOI] [PubMed] [Google Scholar]
- 82.Becattini B., Sareth S., Zhai D., Crowell K.J., Leone M., Reed J.C., Pellecchia M. Targeting Apoptosis via Chemical Design: Inhibition of Bid-Induced Cell Death by Small Organic Molecules. Chem. Biol. 2004;11:1107–1117. doi: 10.1016/j.chembiol.2004.05.022. [DOI] [PubMed] [Google Scholar]
- 83.Tsang H.-F., Xue W., Koh S.-P., Chiu Y.-M., Ng L.P.-W., Wong S.-C.C. NanoString, a novel digital color-coded barcode technology: Current and future applications in molecular diagnostics. Expert Rev. Mol. Diagn. 2016;17:95–103. doi: 10.1080/14737159.2017.1268533. [DOI] [PubMed] [Google Scholar]
- 84.Chen Y., Balasubramaniyan V., Peng J., Hurlock E.C., Tallquist M., Li J., Lu Q.R. Isolation and culture of rat and mouse oligodendrocyte precursor cells. Nat. Protoc. 2007;2:1044–1051. doi: 10.1038/nprot.2007.149. [DOI] [PubMed] [Google Scholar]
- 85.Barateiro A., Fernandes A. Temporal oligodendrocyte lineage progression: In vitro models of proliferation, differentiation and myelination. Biochim. Biophys. Acta. 2014;1843:1917–1929. doi: 10.1016/j.bbamcr.2014.04.018. [DOI] [PubMed] [Google Scholar]
- 86.Zveik O., Fainstein N., Rechtman A., Haham N., Ganz T., Lavon I., Brill L., Vaknin-Dembinsky A. Cerebrospinal fluid of progressive multiple sclerosis patients reduces differentiation and immune functions of oligodendrocyte progenitor cells. Glia. 2022;70:1191–1290. doi: 10.1002/glia.24165. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Rio D.C., Ares M., Jr., Hannon G.J., Nilsen T.W. Purification of RNA Using TRIzol (TRI Reagent) Cold Spring Harb. Protoc. 2010;2010:pdb-prot5439. doi: 10.1101/pdb.prot5439. [DOI] [PubMed] [Google Scholar]
- 88.Ganz T., Fainstein N., Elad A., Lachish M., Goldfarb S., Einstein O., Ben-Hur T. Microbial pathogens induce neurodegeneration in Alzheimer’s disease mice: Protection by microglial regulation. J. Neuroinflamm. 2022;19:5. doi: 10.1186/s12974-021-02369-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Simon J.H., Li D., Traboulsee A., Coyle P.K., Arnold D.L., Barkhof F., Frank J.A., Grossman R., Paty D.W., Radue E.W., et al. STATEMENT Standardized MR Imaging Protocol for Multiple Sclerosis: Consortium of MS Centers Consensus. Am. J. Neuroradiol. 2006;27:455–461. [PMC free article] [PubMed] [Google Scholar]
- 90.Rechtman A., Brill L., Zveik O., Uliel B., Haham N., Bick A.S., Levin N., Vaknin-Dembinsky A. Volumetric Brain Loss Correlates With a Relapsing MOGAD Disease Course. Front. Neurol. 2022;13:867190. doi: 10.3389/fneur.2022.867190. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Manjón J.V., Coupé P. volBrain: An Online MRI Brain Volumetry System. Front. Neuroinform. 2016;10:30. doi: 10.3389/fninf.2016.00030. [DOI] [PMC free article] [PubMed] [Google Scholar]
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