Introduction
Multiple sclerosis (MS) is a chronic inflammatory disease of the brain and spinal cord leading to demyelination and neurodegeneration. The clinical disease course usually starts with reversible episodes of neurological disability (relapsing–remitting MS; RRMS), which later goes into a progressive stage with irreversible neurological decline (secondary progressive MS; SPMS; Dendrou
et al,
2015). Demyelinated lesions, a hallmark of multiple sclerosis, are caused by immune cell infiltration across the blood–brain barrier (BBB) that promotes inflammation, demyelination, gliosis, and neuroaxonal degeneration (Dendrou
et al,
2015; Lassmann & Bradl,
2017). Axonal loss occurs in both the acute and chronic phases of MS and its animal model experimental autoimmune encephalomyelitis (EAE), and the loss of compensatory central nervous system (CNS) mechanisms contributes to the transition from RRMS to SPMS (Ransohoff,
2012; Dendrou
et al,
2015). Activated microglia and macrophages are thought to contribute to neurodegeneration as their number correlates with the extent of axonal damage in MS lesions (Bitsch
et al,
2000; Rasmussen
et al,
2007; Fischer
et al,
2013; Vogel
et al,
2013). The activation of microglia/macrophages may represent one of the initial steps in EAE pathogenesis, preceding and possibly triggering T‐cell development and infiltration of blood‐derived cells (Heppner
et al,
2005; Ajami
et al,
2011; Goldmann
et al,
2013; Yamasaki
et al,
2014; Yoshida
et al,
2014). However, other studies indicate that microglia/macrophage activation counteracts pathological processes by providing neurotrophic and immunosuppressive factors and by promoting recovery (Kotter
et al,
2006; Miron & Franklin,
2014; Lampron
et al,
2015).
Microglia/macrophages are highly heterogeneous immune cells with a continuous spectrum of activation states (Xue
et al,
2014). The so‐called classically activated or pro‐inflammatory and the alternatively activated or anti‐inflammatory microglia/macrophages are at the opposite ends of this spectrum (Mosser & Edwards,
2008; Murray
et al,
2014; but see also Ransohoff,
2016). Although such a classification underestimates the complexity of macrophage/microglia plasticity, the distinction nevertheless provides a useful framework for exploring the diverse functions of the innate immune system in disease pathogenesis. Anti‐inflammatory macrophages have been shown to play central roles in mediating Th2 immunity, wound healing, and the suppression of effector T‐cell function (Mosser & Edwards,
2008). In MS, pro‐inflammatory microglia exist in all types of lesions and correlate with axonal damage, whereas anti‐inflammatory microglia are increased in acute active lesions and in the rim of chronic active lesions where efficient remyelination occurs (Miron
et al,
2013). Anti‐inflammatory microglia secrete anti‐inflammatory cytokines and growth factors that promote oligodendrocyte progenitor differentiation and that protect neurons from damage (Butovsky
et al,
2006; Mikita
et al,
2011; Starossom
et al,
2012; Miron
et al,
2013; Yu
et al,
2015). Finally, a block in the pro‐inflammatory‐to‐anti‐inflammatory switch has been hypothesized to contribute to remyelination failure in chronic inactive MS lesions (Miron
et al,
2013; Sun
et al,
2017).
As key immune effector cells of the CNS, surveillant microglia act as sensor of infection and pathologic damage of the brain, leading to a rapid plastic process of activation that culminates in the endocytosis and phagocytosis of damaged tissue. Multiple signals converge on microglial cells to actively maintain or alter their functional state and orchestrate the specific repertoire of microglial functions. In the absence of pathogens, microglia sense the injury by recognizing the release of molecules that are normally located inside the cell, known as damage‐associated molecular patterns (DAMPs) or “endogenous danger signals” (Di Virgilio,
2007). Recently, ATP has been characterized as a danger signal implicated in innate and adaptive immunity (Junger,
2011), leading to a plethora of responses in microglia through its interaction with their purinergic P2 receptors (Domercq
et al,
2013). On the basis of their signaling properties, P2 receptors can be further subdivided into metabotropic P2Y receptors (P2YRs) that are G‐protein‐coupled, and ionotropic P2X receptors (P2XRs) that are nucleotide‐gated ion channels (Domercq
et al,
2013). We have previously observed that purinergic P2X4R is highly expressed in activated microglia in EAE and in human MS optic nerve samples (Vázquez‐Villoldo
et al,
2014). Here, we identified P2X4R as a significant regulator of microglia inflammatory cascade and the resultant repair response after demyelination.
Discussion
Brain injury induces an upregulation of P2X4R and shifts microglia toward a P2X4R‐expressing reactive state through an IRF8–IRF5 transcriptional axis (Beggs
et al,
2012). In the present study, we showed that IRF8–IRF5–P2X4R is upregulated in the peak and recovery phases of EAE. Moreover, we demonstrated that blockade of P2X4R exacerbates EAE, whereas potentiation with IVM ameliorates this experimental disease. Mechanistically, P2X4 receptor signaling potentiation in microglia/macrophages favors a switch to an anti‐inflammatory phenotype that, by secreting factors such as BDNF and increasing myelin phagocytosis, leads to higher remyelination. Altogether, data here suggest that P2X4R upregulation could be a marker of the neuroinflammatory response in MS and that potentiation of signaling by P2X4R has therapeutic potential to treat demyelinating disorders.
Microglial P2X4R upregulation through IRF8–IRF5 transcription factors, the P2X4R
+ state of microglia, seems to be common in most acute and chronic neurodegenerative diseases associated with inflammation (reviewed in Domercq
et al,
2013). IRF5 drives
de novo expression of P2X4R by directly binding to the promoter region (Masuda
et al,
2014). Here, we showed that
Irf5,
Irf8, and
P2x4r mRNA expression is increased and is correlated at the peak as well as in the recovery phase of the EAE. Recent genome‐wide SNP analysis has identified IRF8 as a susceptibility factor for multiple sclerosis (De Jager
et al,
2009). In addition, genetic polymorphisms in human IRF5 that lead to the expression of various unique isoforms or higher expression of
Irf5 mRNA have been linked to autoimmune diseases, including MS (Kristjansdottir
et al,
2008). IRF5 and IRF8 play a key role in the induction of pro‐inflammatory cytokines, contributing to the plasticity and polarization of macrophages to a pro‐inflammatory phenotype and initiation of a potent T(H)1‐T(H)17 response that boost EAE disease progression (Krausgruber
et al,
2011; Yoshida
et al,
2014). In accordance,
in vitro polarization of microglia toward a pro‐inflammatory phenotype, not to an anti‐inflammatory phenotype, upregulated P2X4R expression and function (
Appendix Fig S3). However, the risk factor for MS of IRF5 and IRF8 contrasts with the protective role described here of P2X4R. Thus, although this receptor is activated during pro‐inflammatory polarization, it is conceivable that P2X4R overexpression may help to resolve or counterbalance the inflammatory reaction by priming a subsequent anti‐inflammatory response. Indeed, the presence of pro‐inflammatory macrophages is a prerequisite for the successive emergence of anti‐inflammatory macrophages and tissue homeostasis during wound healing and
Listeria monocytogenes infections (Chazaud,
2014; Bleriot
et al,
2015).
Antigen‐presenting cells, including CNS microglia and perivascular macrophages, play pivotal roles in initiating Th17‐cell development and transmigration through the BBB leading to EAE (Bartholomäus
et al,
2009; Goldmann
et al,
2013; Xiao
et al,
2013; Yoshida
et al,
2014). However, our results did not substantiate a direct (T‐cell‐mediated) or indirect (APC‐dependent) role of P2X4R for the development of T‐cell response and recruitment to the CNS, excluding any role of P2X4R on the onset of EAE disease. A role of P2X4R in recovery is also supported by the beneficial/detrimental effect of P2X4R manipulation in remyelination in LPC‐treated slices, a model lacking adaptive immune activation.
The role of inflammation in promoting neural repair is gaining increasing recognition. Products of macrophages as well as of microglia, their CNS counterparts, facilitate the regeneration of axons (David
et al,
1990; Yin
et al,
2006) and promote remyelination in animal models of demyelination as their deficiency retards the process of remyelination (Kotter
et al,
2005; Kondo
et al,
2011; Miron
et al,
2013; Sun
et al,
2017; Cantuti‐Castelvetri
et al,
2018). However, the innate immune system capacity to restore myelination in the context of MS depends on microglia/macrophage polarization state. Thus, pro‐inflammatory microglia/macrophage deactivation suppresses EAE acute phase (Starossom
et al,
2012), whereas microglia/macrophage polarization to an anti‐inflammatory phenotype is essential for efficient remyelination later on (Butovsky
et al,
2006; Miron
et al,
2013; Sun
et al,
2017). Thus, a switch from a pro‐inflammatory to an anti‐inflammatory dominant polarization of microglia/macrophage is critical in the repair process, and therefore, manipulating polarization phenotypes of microglia/macrophage might be a promising therapeutic strategy for treating MS. We here demonstrate that blocking P2X4R exacerbated a switch to a pro‐inflammatory phenotype and increased neurological deterioration in the recovery phase, whereas its potentiation with IVM increased anti‐inflammatory polarization and ameliorated clinical signs. Resident microglia and monocytes contribute differentially to EAE induction (Ajami
et al,
2011; Yamasaki
et al,
2014), whereas few studies have addressed their specific contribution to remyelination (Lampron
et al,
2015). The experiments described in this paper do not allow us to discriminate between microglia and monocyte‐derived macrophages, and further experiments are necessary to define the role played by P2X4R in the two cell populations.
The benefits of microglia/macrophage may be attributed to being required in clearing myelin debris after a demyelinating episode (Kotter
et al,
2006; Neumann
et al,
2009; Lampron
et al,
2015; Cantuti‐Castelvetri
et al,
2018), as well as their release of a variety of growth factors into the injured CNS that favor oligodendrocyte differentiation (Miron
et al,
2013). Phagocytosis of myelin is more robust in anti‐inflammatory microglia than in pro‐inflammatory microglia (Durafourt
et al,
2012; Healy
et al,
2016). We also detected an increase in myelin endocytosis as well as in the subsequent myelin degradation in anti‐inflammatory microglia, and a decrease in pro‐inflammatory microglia. Moreover, we demonstrated here that P2X4R blockade or potentiation modulates the effect of polarization on phagocytosis. However, the opposite interpretation is also possible. Thus, phagocytosis of myelin controls microglia/macrophage inflammatory response (Kroner
et al,
2014). Recently, it has been described that phagocytosis of myelin in aged microglia/macrophages after demyelination results in cholesterol accumulation in these cells, leading to a maladaptive inflammatory response with inflammasome activation that impairs remyelination (Cantuti‐Castelvetri
et al,
2018).
Our data showed that IVM also potentiates myelin engulfment and degradation in control microglia. Previous studies have described that P2X4R‐mediated endolysosomal Ca
2+ release is involved in vacuolation and endolysosomal membrane fusion with lysosomes (Cao
et al,
2015) which could control phagocytosis. In accordance, we observed that P2X4R induces endosome–lysosome fusion and lysosome pH acidification, a pivotal step for enzymatic degradation of material delivered by phagocytic pathways. Thus, it is possible that these strategically located P2X4Rs could directly modulate myelin phagocytosis. Whether IVM potentiation of phagocytosis is the mechanism controlling microglia polarization or the opposite requires further studies.
On the other hand, previous data on literature demonstrated that OPC differentiation and myelination in the CNS are controlled by highly regulated sequences of molecular interactions with neurotransmitters released by axons, growth factors, neuregulins, integrins, and cell adhesion molecules. Among all, it is well known that BDNF enhances oligodendrocyte differentiation and myelination (Wong
et al,
2013). A source of BDNF promoting oligodendrogenesis after white matter ischemic insults is astrocytes (Miyamoto
et al,
2015). However, microglia are also another important source of BDNF in physiological conditions and after injury (Dougherty
et al,
2000; Parkhurst
et al,
2013), and microglia P2X4R activation has been linked to BDNF release, causing tactile allodynia (Ferrini
et al,
2013). We showed here that BDNF production by microglia was increased in anti‐inflammatory microglia, an effect significantly reduced by TNP‐ATP treatment. In addition,
Mbp levels after EAE strongly correlated with
Bdnf levels and were dramatically reduced in the recovery phase of EAE after TNP‐ATP treatment. These data are only correlative, so we not exclude the role of other factors secreted by microglia after P2X4R activation to EAE remyelination.
Manipulating innate immune system to promote repair might be a promising therapeutic strategy for treating MS. The results of our study identify P2X4R as a key modulator of microglia/macrophage polarization and support the use of IVM to potentiate a microglia/macrophage switch that favors remyelination in MS. It is important to note that anti‐helminthic host responses are based on anti‐inflammatory macrophage polarization (Satoh
et al,
2010), and thus, it is conceivable that the mechanism described here could be added to the IVM therapeutic effects against helminths. The fact that IVM is already used as an anti‐parasitic agent in humans will facilitate challenging this drug in clinical trials in that demyelinating disease.
Materials and Methods
Animals
All experiments were performed according to the procedures approved by the Ethics Committee of the University of the Basque Country (UPV/EHU). Animals were handled in accordance with the European Communities Council Directive. Mice were kept under conventional housing conditions (22 ± 2°C, 55 ± 10% humidity, and 12‐h day/night cycle) at the University of the Basque Country animal facilities. All possible efforts were made to minimize animal suffering and the number of animals used. Generation of P2X4
−/− mice was described previously (Sim
et al,
2006).
Cell cultures
Microglia and OPC culture
Primary mixed glial cultures were prepared from the cerebral cortex of neonatal rats and mice (P0–P2) as previously described (Domercq
et al,
2007). After 10–15 days in culture, microglia were isolated by mechanical shaking (400 rpm, 1 h) as previously described (Domercq
et al,
2007). The remaining oligodendrocyte progenitor cells (OPCs) present on the top of the confluent monolayer of astrocytes in the flasks were dislodged by shaking flasks overnight at 400 rpm. The final cell suspension was collected, centrifuged, and resuspended in a chemically defined high‐glucose Dulbecco's modified Eagle's medium supplemented with 100 μg/ml transferrin, 60 ng/ml progesterone, 40 ng/ml sodium selenite, 5 μg/ml insulin, 16 μg/ml putrescine, and 100 μg/ml BSA.
Microglial cells were polarized according to previous protocols (Durafourt
et al,
2012) with minor modifications. To generate pro‐inflammatory microglia, cells were treated with GM‐CSF (5 ng/ml; Peprotech) for 5 days followed by 24‐h treatment with LPS (10 ng/ml) and IFNγ (20 ng/ml; Peprotech). To generate anti‐inflammatory microglia, cells were treated with M‐CSF (20 ng/ml; Peprotech) for 5 days followed by 24‐h treatment with IL‐4 (20 ng/ml; Peprotech) and IL‐13 (50 ng/ml; Peprotech). Microglia‐conditioned medium was collected and centrifuged (270
g, 5 min). OPCs were treated with microglia‐conditioned medium for 3 days at 37°C. Polarizing factors alone were directly applied to OPCs as a control. Calcium measurements were performed at 37°C using Fluo‐4 calcium indicator in a Leica LCS SP2 AOBS confocal microscope.
T cells
Mouse splenocytes were obtained by mashing the disintegrated organs through cell strainers into PBS. Cell suspension was freed from erythrocytes by incubation with ACK lysing buffer (155 mM NH
4Cl, 10 mM KHCO
3, 100 μM EDTA, pH ~7.2). Cytokine measurement and cell proliferation assay are described in
Appendix.
Cerebellar organotypic cultures
Cultures were prepared from cerebellar sections of P5–P7 Sprague Dawley rat pups according to previously described procedures (Cavaliere
et al,
2010). Slices (350 μm) were maintained in medium consisting in 50% basal medium with Earle's salt, 25% HBSS, 25% inactivated horse serum, 5 mg/ml glucose (Panreac), 0.25 mM
l‐glutamine (Sigma‐Aldrich) at 37°C in an atmosphere of humidified 5% CO
2. Demyelination was induced at 14 days
in vitro by lysolecithin (0.5 mg/ml; 17 h). Slices were allowed to remyelinate during 1 week, and remyelination was analyzed by Western blot using antibodies to MBP (#SMI‐99P; Covance).
EAE induction
EAE was induced in 8‐ to 10‐week‐old female P2X4
−/− (backcrossed for > 15 generations onto C57Bl/6 background; Sim
et al,
2006) and their wild‐type littermate C57Bl/6 mice by subcutaneous immunization with 300 μl of myelin oligodendrocyte glycoprotein 35–55 (MOG; 200 μg; Sigma) in incomplete Freund's adjuvant supplemented with 8 mg/ml
Mycobacterium tuberculosis H37Ra. Pertussis toxin (500 ng; Sigma) was injected on the day of immunization and again 2 days later. Motor function was recorded daily and scored from 0 to 8 following standard scales (Matute
et al,
2007). Mice were daily treated with TNP‐ATP (10 mg/kg, i.p.; Tocris), ivermectin (1 mg/kg, i.p.; Sigma), or vehicle from EAE onset to the end of the experiment except for the experiments designed to check the effect of TNP‐ATP on immune priming, where TNP‐ATP was administered daily from day 0 to EAE peak. All mice were randomized before the immunization and before the appearance of EAE symptoms. Conduction velocity of the corticospinal tract was assessed at the end of the experiment in anesthetized mice with tribromoethanol (240 mg/kg, i.p.; Sigma) using stimulatory and recording electrodes placed in the primary motor cortex and in the vertebral canal at the L2 level, respectively (Matute
et al,
2007). Neurological score and latency recording were undertaken by readers blinded to the study. Disease phases were assigned according to days after onset as follows: peak, 6–10 days after onset; and recovery, score stabilized and 18–30 days after onset.
Pain assessment
Mechanical allodynia was assessed by an e‐VF Electronic von Frey aesthesiometer (Ugo Basile SRL) at different stages of EAE: before immunization, EAE preonset (5 dpi), onset (10–11 dpi), and before peak (15 dpi). Mice, placed upon an elevated wire mesh surrounded by a Perspex box, were exposed to increasing mechanical pressure to the plantar hind paw through a metal filament. Withdrawal threshold was measured automatically from the initiation of mechanical stimulus to withdrawal of the paw three times in both left and right hind paws separated by at least 10 min between each stimulus. Mean results for each animal were calculated.
Immunochemistry
Cells were fixed in 4% PFA in PBS for 20 min and processed for conventional immunocytochemistry. For tissue, adult mice were deeply anesthetized with chloral hydrate (500 mg/kg, i.p.) and transcardially perfused with 0.1 M sodium phosphate buffer, pH 7.4, followed by 4% PFA in the same buffer. Antibodies used are described in
Appendix.
Images were acquired using a Leica TCS STED SP8 confocal microscope or a Zeiss AxioVision microscope with the same settings for all samples within one experimental group. Olig2+ cells in corpus callosum and in longitudinal sections of spinal cord and Iba1+ cells in longitudinal sections of spinal cord were counted blindly using a 40× objective in an AxioVision microscopy (Zeiss). At least four different fields from three slices per animal were counted from each mouse. To quantify microglia polarization, immunoreactivity of iNOS and MRC1 was calculated with the ImageJ software (NIH) and normalized to the number of cells (eight fields per coverslip from at least four different experiments performed in triplicate). To analyze the effect on OPC differentiation, MBP+ cells were counted and the results were expressed in percentage versus total cells (15 fields per coverslip were analyzed by two observers from n = 3 different experiments performed in triplicate). To quantify microglia and oligodendrocyte expression of P2X receptors, regions of interest (ROIs) were generated with ImageJ software (NIH) in IB4+ and Olig2+ cells (12–15 cells per culture from three independent experiments).
Western blot
Total protein was extracted from microglia by scraping the cells in SDS/sample buffer. Tissue from cerebellar organotypic slices was directly heated at 100°C in sample buffer (7 min). Samples were loaded and size‐separated by electrophoresis using Criterion TGX Precast 12% gels and transferred to Trans‐Blot Turbo Midi PVDF Transfer Packs (Bio‐Rad, Hercules, USA). Membranes were blocked in 5% skimmed milk and 5% serum in Tris‐buffered saline/0.05% Tween‐20 (TBS‐T) and proteins detected by specific primary antibodies to BDNF (#sc‐547, 1:200; Santa Cruz), to MBP (#SMI‐99P, 1:2,000, Covance), to GAPDH (#MAB374, 1:2,000; Millipore), and to β‐actin (#A2066, 1:1,000; Sigma), followed by secondary peroxidase‐coupled goat anti‐rabbit antibodies (#A6154, 1:2,000; Sigma) or sheep anti‐mouse antibodies (#A6782, 1:2,000; Sigma). After washing, blots were developed using an enhanced chemiluminescence detection kit according to the manufacturer's instructions (SuperSignal West Dura or Femto, Pierce). Images were acquired with a ChemiDoc MP system (Bio‐Rad) and quantified using ImageJ software. Values of BDNF and MBP were normalized to corresponding β‐actin and GAPDH signal, respectively.
Myelin phagocytosis and lysosomal pH measurement
Rat and mouse myelin was isolated as previously described (Norton & Poduslo,
1973). Briefly, brain was mechanically homogenized in 0.32 M sucrose and subjected to repeated sucrose gradient centrifugation and osmotic shocks to separate myelin from other cellular components. Myelin was incubated with Alexa 488‐NHS dye (A2000 Life Technologies) for 1 h 45 min at RT in PBS (pH 8). Dyed myelin was dialyzed for removing dye excess, resuspended in PBS (pH 7.4), vortexed for 60 s for fragmentation in homogeneous size aggregates, and added to microglia culture medium (1:100 dilution).
To evaluate myelin endocytosis, microglia were incubated with Alexa 488‐NHS‐labeled myelin for 1 h at 37°C, rinsed, and fixed. To evaluate myelin degradation, cells were subsequently chased at 3 and 6 days for rat microglia and at 3 days for mouse microglia. Cells were fixed with 4% PFA and stained using antibodies to Iba1 (#019‐19741, 1:500; Wako) and Hoechst 33258. Myelin was quantified on Iba1+ cells using ImageJ on individual microglial cells outlined with the Iba1 immunostaining as the defining parameter for the ROIs (at least 50 cells were analyzed in each experiment). Identical acquisition parameters were used for image capture of individual experiments.
The measurement of lysosomal/endosomal pH by confocal microscopy is based on the use of the ratio of the pH‐sensitive fluorescein fluorescence to pH‐insensitive rhodamine fluorescence as previously described (Majumdar
et al,
2007). The same dye was used to measure lysosome area. Briefly, cells were incubated for 16 h with 5 mg/ml dextran conjugated to both fluorescein and rhodamine (70,000 mol. wt.; ThermoFisher), washed thoroughly, and then further incubated for 2 h to chase dextran into lysosomes. Cells were then examined by confocal imaging at 37°C. Lysosome fluorescence and lysosome area were quantified in defined ROIs corresponding to individual lysosomes using Fiji software. For pH measurements, the ratio of fluorescein to rhodamine fluorescence was determined. For all experimental sets, cross‐talk of the fluorophores was negligible. Calibration curves were generated after fixing and equilibrating the fluorescein–rhodamine–dextran‐loaded cells to a range of buffer pH values. We quantified about 40 ROIs per field (63× photographs) from at least 10 fields per condition in two independent experiments performed in duplicate.
Electrophysiology
Cortical slices (300 μm thick) were prepared from the brain of P15–P20 PLP‐DsRed and CXCR3‐GFP mice to record oligodendrocytes and microglia, respectively. Slices were obtained in ice‐cold solution containing (in mM): 215 sucrose, 2.5 KCl, 26 NaHCO3, 1.6 NaH2PO4, 1 CaCl2, 4 MgCl2, 4 MgSO4, 20 glucose, and 1.3 ascorbic acid bubbled with 95% O2/5% CO2, pH 7.4. Slices were then stored for at least 1 h at 32°C in artificial cerebrospinal fluid (aCSF) that contained (in mM) 124 NaCl, 2.5 KCl, 25 NaHCO3, 1.2 NaH2PO4, 1.25 CaCl2, 2.6 MgCl2, and 10 glucose. Standard whole‐cell recordings of microglia and oligodendrocytes (Vh = −70 mV) were performed at 37°C on a Leica microscope (Leica DM LFSA) using the MultiClamp 700B amplifier (Axon). Recordings were low‐pass‐filtered at 2 kHz, digitized at 5 kHz, and stored as data files on a computer using the pClamp 8.2 program (Axon Instruments, CA) for later analysis. The extracellular bath solution contained (in mM) 124 NaCl, 26 NaHCO3, 1 NaH2PO4, 2.5 KCl, 2 MgCl2, 2.5 CaCl2, and 10 glucose, bubbled with 95% O2/5% CO2, pH 7.4. ATP was applied through a 5242 microinjector (Eppendorf) in divalent cation‐free extracellular solutions to maximize purinergic currents. Patch clamp pipettes (3–5 MΩ) were filled with a solution containing (in mM) 135 KCl, 4 NaCl, 0.7 CaCl2, 4 MgATP, 10 HEPES, 10 BAPTA, and 0.5 Na2‐GTP, pH 7.3.
FACS
For flow cytometric analyses, cells were stained in FACS buffer containing 0.1% BSA and 1 mM EDTA with fluorochrome‐conjugated monoclonal antibodies. Details about antibodies used are described in
Appendix. Stained cells were washed and resuspended in 300 μl FACS buffer. Cells were measured using a BD LSRFortessa, and data were analyzed with FlowJo software (Tree Star).
For microglia sorting, samples were sorted using CD11b (#101205, 1:100; Biolegend), CD45 (#103134, 1:100; Biolegend), Ly6C (#128012, 1:100; Biolegend), Ly6G (#127622, 1:100; Biolegend), and CCR2 (#FAB5538, 1:100; R&D Systems) to distinguish between resident microglia (CD11b
+/CD45
low) and invading macrophages (CD11b
+/CD45
high; Szulzewsky
et al,
2015). Cells were sorted using a FACSAria IIIu (BD Bioscience).
qPCR and gene expression profiling
Total RNA from control and EAE lumbar spinal cords and from microglia cultures was isolated using TRIzol (Invitrogen) according to the manufacturer's instructions. RNA from sorted microglia was isolated using RNeasy Plus Micro Kit (Qiagen). Subsequently, cDNA synthesis was conducted using SuperScript III retrotranscriptase (200 U/μl; Invitrogen) or AffinityScript Multiple Temperature cDNA Synthesis Kit (Agilent Technologies Inc.) and random hexamers as primers (Promega). cDNA from EAE experiments was processed via Fluidigm real‐time PCR analysis and GenEx software, and the results were depicted as relative gene expression according to the ΔΔ
Cq method (
) and expressed in base 2 logarithmic scale. For
in vitro experiments, real‐time quantitative PCRs were performed with SYBR Green using a Bio‐Rad CFX96 Real‐Time PCR Detection System as described previously (Domercq
et al,
2016).
PET imaging
[
18F]BR‐351, the matrix metalloproteinase inhibitor used for PET imaging (
18F‐MMPi), was prepared from its tosylate precursor according to a previously reported procedure (Wagner
et al,
2011) using a TRACERlab FX
FN synthesis module (GE Healthcare). Radiochemical yields (non‐decay‐corrected) were in the range 12–16%, and radiochemical purity was always > 95% at the time of injection. Naïve control mice and EAE mice ± TNP‐ATP (treatment from day 0 to day 17 postimmunization) at the peak of the EAE were subjected to μPET imaging using the radiotracer [
18F]BR‐351 for assessment of MMP activity. Thirty‐minute static μPET scans were acquired for 100 min after intravenous injection of 10 MBq. CT acquisitions were performed to provide anatomical information and the attenuation map for reconstruction using 2DOSEM. PET images were co‐registered to the anatomical data of the CT of the same mouse, and volumes of interest (VOIs) were manually drawn in the inner part of the brain and spinal cord. The PET signal was expressed as percentage of injected dose per gram of tissue (%ID/g).
Statistical analysis
Data are presented as mean ± s.e.m. with sample size and number of repeats indicated in the figure legends. Comparisons between two groups were analyzed using paired Student's two‐tailed t‐test for data coming from in vitro experiments and unpaired Student's two‐tailed t‐test for data coming from in vivo experiments, except in MOG‐EAE experiments where statistical significance in neurological score was determined by Mann–Whitney U‐test. Comparisons among multiple groups were analyzed by one‐way analysis of variance (ANOVA) followed by Bonferroni's multiple comparison tests for post hoc analysis. Statistical significance was considered at P < 0.05.
Study approval
Organotypic cultures, primary cultures, electrophysiology protocols, and EAE experiments in wild‐type or P2X4−/− mice were approved by the Comité de Ética y Bienestar Animal (Animals Ethics and Welfare Committee) of the University of the Basque Country. All the experiments were conducted in accordance with the Directives of the European Union on animal ethics and welfare.