Introduction
Multiple sclerosis (MS) is an autoimmune and degenerative disorder of the central nervous system (CNS) causing a progressive loss of motor and cognitive performances in affected people. The disease represents a big challenge because, from the earlier phases, axonal loss as well as neuronal degeneration and a failure of oligodendrocytes to promote myelin repair has been demonstrated [1, 2, 3, 4, 5, 6].
The disease course is characterized by phenotypic heterogeneity, most patients experiencing a relapsing remitting disease course from the onset, while a smaller proportion of people present a progressive disease from the beginning of symptoms [7]. It is not yet fully explained whether inflammation alone is responsible for the whole cascade of events leading to neurodegeneration or whether neurodegeneration in MS is an independent/parallel mechanism, even if correlated with inflammation. In all MS patients, the contribution of glial cells has been clearly shown since the early studies [8, 9, 10, 11]. The complex nature of this disorder is challenging, not only in the diagnostic phase but also for monitoring disease activity, progression, and treatment efficacy.
Interestingly, it has also been found that the prevalence of MS tends to increase with increasing latitude, but the underlying causes of such distribution still remains elusive, although it has been recently hypothesized that the disruption of circadian rhythms might be involved [12].
At the cellular level, it is still unclear whether other cells, in addition to neurons and oligodendrocytes, are involved and through which mechanisms.
Previously it has been shown, however, that in inflammatory processes, the functional disturbance of astrocytes is one of the crucial mechanisms in the earliest phases. These phenomena, occurring at the perivascular glia limitans, are also associated with expansion of the inflammatory response (mainly innate immunity), and with active immune-mediated myelin and axonal damage [13].
Extracellular vesicles (EVs) are membrane-bound structures that can either directly bud from the plasma membrane (ectosomes, or microvesicles – MVs), or originate from exocytosis of multivesicular bodies (MVBs), components of the endosomal compartment (exosomes) [14]. EVs contain many different molecules (proteins, lipids, and nucleic acids), some of which are specifically sorted to them by a variety of mechanisms [15, 16, 17, 18]. Once released from a given cell, EVs may be recognized and bound by specific receptors present on the surrounding cells, or may fuse with the latter; alternatively, they can break, releasing their content into the extracellular matrix. Thus, EVs can be used to discard waste molecules but also have the potential to deeply affect the phenotype of the surrounding cells [19, 20, 21, 22, 23, 24, 25, 26].
In the central nervous system (CNS) of mammals, EVs are involved in a variety of physiological processes, such as establishment of synapses, neuronal plasticity, metabolic exchanges, and so on [27, 28, 29]. However, under pathological conditions, EVs can also be involved in spreading pathological proteins [30, 31, 32]. Moreover, EVs can be found in biological fluids such as serum, saliva, amniotic fluid and synovial fluid, breast milk and urine [33, 34, 35, 36], and, most important, they are able to cross the blood-brain barrier (BBB) [37, 38]. Therefore, it has been proposed that they and their contents can be used as biomarkers of specific brain pathologies [39, 40, 41, 42, 43].
We previously found that the serum from patients with secondary progressive multiple sclerosis (SPMS) has a damaging effect on isolated neurons, thus suggesting that neuronal damage in MS could be a primary event and not only secondary to myelin damage, as generally assumed. Moreover, SPMS affected the permeability of an in vitro BBB model [44]. To shed more light on the possible involvement of astrocytes, we exposed rat primary cultures of astrocytes to EVs isolated from cerebral spinal fluid (CSF) of MS patients, in order to study the potential ability of these EVs to induce, in the recipient cells, morphological and functional changes, such as modifications of the proliferation rate, and cell death. Our study also aimed at exploring whether EVs present in CSF might be used as early biomarkers of MS
pathology.
Material and methods
Patient selection
Recruited patients were screened at the Department of Medicine, Neurosciences and Advanced Diagnostics (Bi.N.D.), University Hospital of Palermo. The study included 16 consecutive individuals who, as part of the diagnostic process, underwent lumbar puncture. After screening they were separated into two different groups: MS patients and controls. Diagnoses of MS were confirmed according to McDonald criteria as revised in 2010 by trained neurologists [45]. Recruited controls were individuals affected by other neurological disorders who underwent the spinal tap because of a non-inflammatory condition such as idiopathic intracranial hypertension or normal pressure hydrocephalus. Lumbar puncture was performed as part of the diagnostic work-up in fasting conditions and according to the AAN guidelines [46].
Ethics approval and consent to participate
Permission to conduct the study was obtained from the Ethical Committee of the University of Palermo (CE Palermo 1), which approved the research project. All the recruited patients gave signed informed consent to participate in a molecular study on multiple sclerosis.
Concerning primary cultures of astrocytes, no special permission was necessary because we did not use animals for this study; instead, aliquots of astrocytes purified in previous years and frozen were thawed and used for these experiments.
Isolation of microvesicles from CSF
Extracellular vesicles were prepared from CSF through a method already described, based on differential centrifugation [47]. Briefly, the various samples of CSF were first centrifuged at 2,000 × g for 10 min and then at 4,000 × g for 15 min, in order to eliminate major debris.
The 4,000 × g supernatant was centrifuged at 10,000 × g for 30 min. At the end, pellets containing larger vesicles (presumably MVs) were resuspended in 50 µl of PBS (Dulbecco’s phosphate buffered saline without Ca2+ and Mg2+) and frozen. The 10,000 × g supernatant was filtered through a 0.2-µm filter and ultracentrifuged (Beckman; rotorTi60) at 105,000 × g
for 90 min, at 4°C. The final supernatant was eliminated, while the pellet containing smaller vesicles (presumably exosomes, Es) was suspended in 50 µl of PBS and frozen.
Protein concentration from both larger and smaller vesicles was determined using a Qubit Protein assay kit (Q33211, Invitrogen, OR, USA).
Cell culture, immunofluorescence and acridine orange (AO)/ethidium bromide (EB) assay
As mentioned above, in the present study we did not purify astrocytes ex novo, but, instead, used aliquots of astrocytes purified in previous years and frozen, which can be stored in liquid nitrogen almost indefinitely. In detail, these astrocytes (primary astrocytes) had been isolated from the brain cortices of 2-day old Wistar newborn rats (Harlan, Udine, Italy), and frozen in a solution containing 93% heat-inactivated fetal calf serum (FCS) and 7% dimethyl-sulfoxide (both from Sigma-Aldrich; Merck KGaA), as previously described [48]. For the present study, astrocytes were thawed and cultured in NIH (DMEM/Ham’s F-12 (2/1), supplemented with 10% heat inactivated FCS (Sigma-Aldrich; Merck KGaA), and 100,000 units of penicillin,
100 mg of streptomycin, and 250 µg of amphotericin B (Sigma-Aldrich; Merck KGaA) per liter. The cells were then maintained in humidified
5% CO2/95% air, at 37°C.
In order to analyze the effects on cells of the EVs isolated from CSF, primary astrocytes were counted in a Thoma counting chamber and plated in 24-well plates containing glass coverslips, at an initial concentration of 50,000/well. Before treating them, cells were cultured for 24 h. Moreover, after 24 h, a couple of coverslips were used for ascertaining that astrocytes were morphologically intact. With this aim, cells were fixed with 96% ethanol on ice for 10 min and permeabilized for 5 min with 0.1% Triton X-100 in PBS. Finally they were incubated with a polyclonal rabbit anti glial fibrillary acidic protein (GFAP) antibody (Sigma Aldrich; Merck KGaA; cat. no. G9269), used at 1:200 dilution. The secondary antibody was rhodamine-isothiocyanate-conjugated anti-rabbit-IgG (Sigma-Aldrich; Merck KGaA; cat. no. T6778; used at a 1:100 dilution). Nuclei were stained with 4ʹ,6-diamidino-2-phenylindole dihydrochloride (H1200; Vector Laboratories, Inc.). Cells were finally observed using an Olympus BX-50 fluorescent microscope (Olympus Italia SRL, Segrate, Italy).
After confirming their good starting shape, astrocytes were treated with 15 µg of exosomes or 5 µg of MVs from patients or from the control group. After additional 24 h, cell death levels were evaluated by staining astrocytes with an acridine orange/ethidium bromide (AO/EB) mixture (100 µg/ml in PBS) [44]. Cells were finally observed with an Olympus BX-50 fluorescent microscope as above. Counting of viable cells was performed after dividing each picture into quarters. Cells in each quarter were counted by two different operators. Finally, the values were used to calculate a mean value.
Statistical analysis
The results were expressed as mean ± standard error (SE) of the mean. Differences were considered significant at p ≤ 0.05.
Results
In order to be sure that primary astrocytes had the expected morphology after thawing and culturing for 24 h, some samples were immune-stained with an anti-GFAP antibody. As shown in Fig. 1, astrocytes showed the expected shape for astrocytes cultured in two dimensions [49].
The same morphology can be also observed in Fig. 2A
(not treated, control astrocytes).
Notably, astrocytes exposed to MVs or exosomes (Es) purified from control CSF (Fig. 2B, D, respectively), or to MVs purified from MS patients (Fig. 2C) do not show significant vitality differences with respect to the untreated astrocytes. On the other hand, astrocytes treated with Es from MS patients (Fig. 2E) show a dramatic increase of cell death.
As described under “Materials and methods” viable cells were counted by two different operators, after dividing each picture into quarters. The counting results for each condition were used to calculate mean values. As reported in Table I, the vitality of untreated astrocytes was around 99%, similar to that of astrocytes exposed to MV or Es purified from control CSF. Moreover, although MVs from MS patients tended to induce a higher degree of cell death with respect to those prepared from the control CSF (89.3 ±18.0 vs. 99.3 ±1.8 of dead cells), the difference was not statistically significant (p value = 0.142). On the other hand, a clear toxic effect was highlighted when the astrocytes were treated with the exosome fraction from MS patients (Es): a significantly higher degree of cell death was indeed observed in comparison with the effects induced by Es from controls (71.2 ±28.2 vs. 94.3 ±14.6; p value = 0.0001). Notably, since some of the CFS samples had been frozen, while other samples were used fresh, we could also note that MVs and Es prepared from fresh MS CSF had a stronger effect on astrocytes’ vitality than those from frozen CSF (51.9 ±28.9 vs. 70 ±21.21).
Discussion
Normally, all the cells of the central nervous system can produce EVs, probably involved in a special form of cell-to-cell communication, aimed at coordinating the responses of the entire brain to both external and internal signals and stresses [27, 28, 29]. Under pathological conditions, however, it is known that the same mechanism is used by altered proteins and aggregates to spread among the cells, thus horizontally transferring the pathology itself [30, 31, 32].
These observations have been fostering the idea that EVs can be part of the pathological processes. In a previous paper, we reported that the serum from patients with SPMS could damage isolated primary neurons in culture, thus suggesting that neuronal damage in MS could be a primary event and not only secondary to myelin damage [44]. We thus asked whether the toxic effects might be due to molecules carried by extracellular vesicles, and decided to start our analysis by purifying EVs from CSF. Moreover, in consideration of the fact that astrocytes form with neurons a metabolic and functional unit of the most importance for the CNS activities, and are probably involved in all neuronal functions and dysfunctions [50, 51, 52, 53, 54], we chose these cells for our
analyses.
This pilot study suggests that EVs released into the CSF of patients affected by MS do contain molecules with effects toxic to astrocytes. We found that EVs (and, in particular, the smallest vesicles, probably exosomes) coming from the CSF of MS patients are significantly more toxic than those purified from CSF of patients with other, less critical disorders. Interestingly, toxicity was demonstrated after adding EVs to astrocytes, thus confirming that these cells, and not only oligodendrocytes and neurons, are sensitive to the damaging factors produced in MS patients.
As a pilot study, our analysis has a few limitations: first, two separate fractions of EVs were isolated through standard centrifugation methods, but we did not confirm their composition by biochemical analyses or by nanoparticle tracking analysis (NTA). In addition, although the existence of larger and smaller vesicles, as well as the different cellular origins of different EV classes, is widely accepted, there is still an open controversy on the methods that can accurately allow one to distinguish among them, and on their nomenclature [55, 56]. For these reasons we tentatively identified our fractions as larger vesicles (putative MVs) and smaller vesicles (putative exosomes).
A second limitation comes from the small sample of patients enrolled.
On the other hand, it is worth noting that the CSF samples used in this study derived from individuals under the diagnostic process and, hence, not yet under any kind of disease-modifying therapy. Moreover, the patients underwent the lumbar puncture even before starting steroid therapy if they were potentially in a relapse phase to avoid the possibility that steroid treatments could impact the results of the diagnostic examination. Thus the present study not only confirmed that EVs have a pathogenic role in MS disease and act directly on cell survival, but suggested that this can happen even before a clear diagnosis of MS.
The observed effects on cell survival are particularly evident for the smallest vesicles (probably exosomes), and suggested that a correlation might exist between their concentration in the CSF and the severity of the pathology. Notably, EVs prepared from fresh MS CSF had a stronger effect on astrocytes’ vitality than those from frozen samples.
On the basis of these results, we thus hypothesize that astrocyte damage is a further aspect of the sustained degenerative process found in MS, and that cultures of astrocytes could be used as in vitro models of EV toxicity and hence of MS degree. In addition, astrocyte cultures could be of help as further diagnostic criteria to distinguish MS from other autoimmune, inflammatory diseases of the central nervous system, such as neuromyelitis optica (NMO). This latter disorder is a demyelinating disease that affects the optic nerve and the spinal cord, and is distinct from MS, although the clinical manifestations of MS and NMO partly overlap [13, 57, 58]. In 2004, it was found that the serum from patients with NMO contains autoantibodies directed against the astrocytic protein aquaporin 4 (AQP4) [59]. More recently, it was suggested that these antibodies can interfere with the systemic and intra-cerebral synthesis of transforming growth factor β1 (TGF-β1), thus abolishing an important anti-inflammatory response [60].
Thus astrocytic cultures might also be used to study the specific molecular pathways triggered by serum/CSF as well as of EVs from patients affected by similar but different disorders.
Of course, first of all, further studies are necessary to confirm the present results, and to identify the toxic molecules present in EVs.
As a final comment, the ability of EVs to cross the blood-brain-barrier suggests that they and their cargoes might be used as biomarkers of MS (and of its severity) even before a clear diagnosis has been established.
The authors declare no conflict of interest.
1. Chamberlain KA, Nanescu SE, Psachoulia K, Huang JK. Oligodendrocyte regeneration: Its significance in myelin replacement and neuroprotection in multiple sclerosis. Neuropharmacology 2016; 110: 633-643.
2.
Gibson EM, Geraghty AC, Monje M. Bad wrap: Myelin and myelin plasticity in health and disease. Dev Neurobiol 2018; 78: 123-135.
3.
Lemus H, Warrington AE, Rodriguez M. Multiple sclerosis: mechanisms of disease and strategies for myelin and axonal repair. Neurol Clin 2018, 36: 1-11.
4.
Lubetzki C. 150 years since Charcot’s lectures on multiple sclerosis. Lancet Neurol 2018; 17: 1041.
5.
Trapp BD, Vignos M, Dudman J, et al. Cortical neuronal densities and cerebral white matter demyelination in multiple sclerosis: a retrospective study. Lancet Neurol 2018; 17: 870-884.
6.
Charalambous T, Tur C, Prados F, et al. Structural network disruption markers explain disability in multiple sclerosis. J Neurol Neurosurg Psychiatry 2019; 90: 219-226.
7.
Klineova S, Lublin FD. Clinical Course of Multiple Sclerosis. Cold Spring Harb Perspect Med 2018; 8: pii: a028928.
8.
Mayo L, Trauger SA, Blain M, et al. Regulation of astrocyte activation by glycolipids drives chronic CNS inflmmation. Nat Med 2014; 20: 1147-1156.
9.
De Keyser J, Wilczak N, Leta R, et al. Astrocytes in multiple sclerosis lack beta-2 adrenergic receptors. Neurology 1999; 53: 1628-1633.
10.
Cambron M, D’Haeseleer M, Laureys G, et al. White-matter astrocytes, axonal energy metabolism, and axonal degeneration in multiple sclerosis. J Cereb Blood Flow Metab 2012; 32: 413-424.
11.
Brosnan CF, Raine CS. The astrocyte in multiple sclerosis revisited. Glia 2013; 61: 453-465.
12.
Gasperoni F, Turini P, Agostinelli E. A novel comprehensive paradigm for the etiopathogenesis of multiple sclerosis: therapeutic approaches and future perspectives on its treatment. Amino Acids 2019; 51: 745-759.
13.
Lassmann H. Pathology of inflammatory diseases of the nervous system: Human disease versus animal models. Glia 2020; 68: 830-844.
14.
Cocucci E, Meldolesi J. Ectosomes and exosomes: shedding the confusion between extracellular vesicles. Trends Cell Biol 2015; 25: 364-372.
15.
van Niel G, D’Angelo G, Raposo G. Shedding light on the cell biology of extracellular vesicles. Nat Rev Mol Cell Biol 2018; 19: 213-228.
16.
Mateescu B, Kowal EJ, van Balkom BW, et al. Obstacles and opportunities in the functional analysis of extracellular vesicle RNA – an ISEV position paper. J Extracell Vesicles 2017; 6: 1286095.
17.
Shen B, Wu N, Yang M Jr, Gould SJ. Protein targeting to exosomes/microvesicles by plasmamembrane anchors. J Biol Chem 2011; 286: 14383-14395.
18.
Yang JM, Gould SJ. The cis-acting signals that target proteins to exosomes and microvesicles. Biochem Soc Trans 2013; 41: 277-282.
19.
Simons M, Raposo G. Exosomes-vesicular carriers for intercellular communication. Curr Opin Cell Biol 2009; 21: 575-581.
20.
Meldolesi J. Exosomes and Ectosomes in Intercellular Communication. Curr Biol 2018; 28: R435-R444.
21.
Stahl PD, Raposo G. Extracellular vesicles: exosomes and microvesicles, integrators of homeostasis. Physiology (Bethesda) 2019; 34: 169-177.
22.
Woith E, Fuhrmann G, Melzig MF. Extracellular vesicles-connecting kingdoms. Int J Mol Sci 2019; 20: pii: E5695.
23.
Camussi G, Deregibus MC, Bruno S, et al. Exosomes/microvesicles as a mechanism of cell-to-cell communication. Kidney Int 2010; 78: 838-848.
24.
Di Liegro CM, Schiera G, Di Liegro I. Extracellular vesicle-associated RNA as a carrier of epigenetic information. Genes (Basel) 2017; 8: pii: E240.
25.
Schiera G, Di Liegro CM, Puleo V, et al. Extracellular vesicles shed by melanoma cells contain a modified form of H1.0 linker histone and H1.0 mRNA-binding proteins. Int J Oncol 2016; 49: 1807-1814.
26.
Schiera G, Contrò V, Sacco A, et al. From epigenetics to anti-doping application: a new tool of detection. Hum Mov 2017; 18: 3-10.
27.
Schiera G, Di Liegro CM, Di Liegro I. Extracellular membrane vesicles as vehicles for brain cell-to-cell interactions in physiological as well as pathological conditions. Biomed Res Int 2015; 2015: 152926.
28.
Fowler CD. NeuroEVs: Characterizing extracellular vesicles generated in the neural domain. J Neurosci 2019; 39: 9262-9268.
29.
Schiera G, Di Liegro CM, Di Liegro I. Cell-to-cell communication in learning and memory: from neuro- and glio-transmission to information exchange mediated by extracellular vesicles. Int J Mol Sci 2019, 21: pii: E266.
30.
Vella LJ, Sharples RA, Nisbet RM, et al. The role of exosomes in the processing of proteins associated with neurodegenerative diseases. Eur Biophys J 2008; 37: 323-332.
31.
Rajendran L, Honsho M, Zahn TR, et al. Alzheimer’s disease beta-amyloid peptides are released in association with exosomes. Proc Natl Acad Sci USA 2006; 103: 11172-11177.
32.
Saman S, Kim W, Raya M, et al. Exosome-associated tau is secreted in tauopathy models and is selectively phosphorylated in cerebrospinal fluid in early Alzheimer disease. J Biol Chem 2012; 287: 3842-3849.
33.
Aqrawi LA, Galtung HK, Vestad B, et al. Identification of potential saliva and tear biomarkers in primary Sjögren’s syndrome, utilising the extraction of extracellular vesicles and proteomics analysis. Arthritis Res Ther 2017; 19: 14.
34.
Markowska A, Pendergrast RS, Pendergrast JS, et al. A novel method for the isolation of extracellular vesicles and RNA from urine. J Circ Biomark 2017' 6: 1849454417712666.
35.
Cheng Y, Pereira M, Raukar N, et al. Potential biomarkers to detect traumatic brain injury by the profiling of salivary extracellular vesicles. J Cell. Physiol 2019; 234: 14377-14388.
36.
Clayton A, Boilard E, Buzas EI, et al. Considerations towards a roadmap for collection, handling and storage of blood extracellular vesicles. J Extracell Vesicles 2019; 8: 1647027.
37.
Chen CC, Liu L, Ma F, et al. Elucidation of exosome migration across the blood-brain barrier model in vitro. Cell Mol Bioeng 2016, 9: 509-529.
38.
38, Matsumoto J, Stewart T, Banks WA, Zhang J. The transport mechanism of extracellular vesicles at the blood-brain barrier. Curr Pharm Des 2017; 23: 6206-6214.
39.
Rennert RC, Hochberg FH, Carter BS. ExRNA in biofluids as biomarkers for brain tumors. Cell Mol Neurobiol 2016; 36: 353-360.
40.
Cheng Y, Pereira M, Raukar N, et al. Potential biomarkers to detect traumatic brain injury by the profiling of salivary extracellular vesicles. J Cell Physiol 2019; 234: 14377-14388.
41.
Lee S, Mankhong S, Kang JH. Extracellular vesicle as a source of Alzheimer’s biomarkers: opportunities and challenges. Int J Mol Sci 2019; 20: pii: E1728.
42.
Wang H, Jiang D, Li W, et al. Evaluation of serum extracellular vesicles as noninvasive diagnostic markers of glioma. Theranostics 2019; 9: 5347-5358.
43.
Badhwar A, Haqqani AS. Biomarker potential of brain-secreted extracellular vesicles in blood in Alzheimer’s disease. Alzheimers Dement (Amst) 2020; 12: e12001.
44.
Proia P, Schiera G, Salemi G, et al. Neuronal and BBB damage induced by sera from patients with secondary progressive multiple sclerosis. Int J Mol Med 2009; 24: 743-747.
45.
Polman CH, Reingold SC, Banwell B, et al. Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 2011; 69: 292-302.
46.
Teunissen CE, Petzold A, Bennett JL, et al. A consensus protocol for the standardization of cerebrospinal fluid collection and biobanking. Neurology 2009; 73: 1914-1922.
47.
Schiera G, Di Liegro CM, Puleo V, et al. Extracellular vesicles shed by melanoma cells contain a modified form of H1.0 linker histone and H1.0 mRNA-binding proteins. Int J Oncol 2016; 49: 1807-1814.
48.
Schiera G, Bono E, Raffa MP, et al. Synergistic effects of neurons and astrocytes on the differentiation of brain capillary endothelial cells in culture. J Cell Mol Med 2003; 7: 165-170.
49.
Carfì Pavia F, Di Bella MA, Brucato V, et al. A 3D scaffold of PLLA induces the morphological differentiation and migration of primary astrocytes and promotes the production of extracellular vesicles. Mol Med Rep 2019; 20: 1288-1296.
50.
Aschner M. Neuron-astrocyte interactions: implications for cellular energetics and antioxidant levels. Neurotoxicology 2000; 21: 1101-1107.
51.
Gordleeva SY, Ermolaeva AV, Kastalskiy IA, Kazantsev VB. Astrocyte as spatiotemporal integrating detector of neuronal activity. Front Physiol 2019; 10: 294.
52.
Valori CF, Guidotti G, Brambilla L, Rossi D. Astrocytes in motor neuron diseases. Adv Exp Med Biol 2019; 1175: 227-272.
53.
Zhou B, Zuo YX, Jiang RT. Astrocyte morphology: Diversity, plasticity, and role in neurological diseases. CNS Neurosci Ther 2019; 25: 665-673.
54.
Schiera G, Di Liegro CM, Di Liegro I. Cell-to-cell communication in learning and memory: from neuro- and glio-transmission to information exchange mediated by extracellular vesicles. Int J Mol Sci 2019; 21: pii: E266.
55.
Théry C, Witwer KW, Aikawa E, et al. Minimal information for studies of extracellular vesicles 2018 (MISEV2018): A position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines. J Extracell Vesicles 2018; 7: 1535750.
56.
Witwer KW, Théry C. Extracellular vesicles or exosomes? On primacy, precision, and popularity influencing a choice of nomenclature. J Extracell Vesicles 2019; 8: 1648167.
57.
Lalan SL, Khan M, Schlakman B, et al. Differentiation of neuromyelitis optica from multiple sclerosis on spinal magnetic resonance imaging. Int J MS Care 2012; 14: 209-214.
58.
McCreary M, Mealy MA, Wingerchuk DM, et al. Updated diagnostic criteria for neuromyelitis optica spectrum disorder: Similar outcomes of previously separate cohorts. Mult Scler J Exp Transl Clin 2018, 4: 2055217318815925.
59.
Lennon V, Wingerchuk D, Kryzer T, et al. A serum autoantibody marker of neuromyelitis optica: Distinction from multiple sclerosis. Lancet 2004, 364: 2106-2112.
60.
Nataf S. The Demonstration of an Aqp4/Tgf-beta 1 pathway in murine astrocytes holds implications for both neuromyelitis optica and progressive multiple sclerosis. Int J Mol Sci 2020; 21: pii: E1035.