Abstract
The blood-brain barrier (BBB) has a major role in maintaining brain homeostasis through the specialized function of brain endothelial cells (BECs). Inflammation of the BECs and loss of their neuroprotective properties is associated with several neurological disorders, including the chronic neuro-inflammatory disorder multiple sclerosis (MS). Yet, the underlying mechanisms of a defective BBB in MS remain largely unknown. Endothelial to mesenchymal transition (EndoMT) is a pathophysiological process in which endothelial cells lose their specialized function and de-differentiate into mesenchymal cells. This transition is characterized by an increase in EndoMT-related transcription factors (TFs), a downregulation of brain endothelial markers, and an upregulation of mesenchymal markers accompanied by morphological changes associated with cytoskeleton reorganization. Here, we postulate that EndoMT drives BEC de-differentiation, mediates inflammation-induced human BECs dysfunction, and may play a role in MS pathophysiology. We provide evidence that stimulation of human BECs with transforming growth factor (TGF)-β1 and interleukin (IL)-1β promotes EndoMT, a process in which the TF SNAI1, a master regulator of EndoMT, plays a crucial role. We demonstrate the involvement of TGF-β activated kinase 1 (TAK1) in EndoMT induction in BECs. Finally, immunohistochemical analysis revealed EndoMT-associated alterations in the brain vasculature of human post-mortem MS brain tissues. Taken together, our novel findings provide a better understanding of the molecular mechanisms underlying BECs dysfunction during MS pathology and can be used to develop new potential therapeutic strategies to restore BBB function.
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Introduction
The blood-brain barrier (BBB) is a selective and dynamic barrier that has a major role in maintaining brain homeostasis1. It is composed by specialized brain endothelial cells (BECs) which are tightly connected via adherent and tight junctions (AJs and TJs, respectively)2,3. Inflammation of the BECs and loss of their neuroprotective function is associated with several neurological disorders, including multiple sclerosis (MS). MS is a chronic autoimmune demyelinating disorder of the central nervous system (CNS), affecting more than 2 million people worldwide. Histopathological characteristics of MS include immune cell infiltration into the CNS, demyelination, glial cell activation and neurodegeneration4,5. We and others have shown that BBB dysfunction is an early key event in the pathogenesis of MS and may be considered as an attractive therapeutic target to fight neurological diseases6,7,8,9. The BBB gains its protective properties early in development, in a process called “barrierogenesis” where BECs become phenotypically and functionally specialized to fulfill the needs of the CNS tissue10,11. Particularly, endothelial junctions are important to create a tight barrier that restricts entry of unwanted and neurotoxic substances into the CNS. During adulthood, several signaling pathways are essential for the maintenance of the endothelium properties, including brain endothelium features12,13. Loss of these critical signaling events can result in endothelial cell death and dysfunction or it might results in a de-differentiation of the endothelial cells into mesenchymal cells in a process called endothelial to mesenchymal transition (EndoMT)14,15,16, a phenomenon similar to the better understood epithelial to mesenchymal transition17. EndoMT was first thought to be a purely developmental process, particularly during cardiac ontogeny18. However, recent reports indicated that EndoMT may also occur in adult tissues during different pathological disorders including brain diseases such as cerebral cavernous malformation, bacterial meningitis and brain tumors19,20,21. On a molecular level, EndoMT is characterized by the degradation of the endothelial vascular basement membrane, cell-to-cell junction rearrangements and reduced expression of functional endothelial markers. ECs undergoing EndoMT acquire mesenchymal and stem cells-like properties, including gain of migratory capacity, and increased expression of fibroblast and mesenchymal-specific markers, like fibroblast specific protein 1 (FSP1), fibronectin (FN1), and N-cadherin (CDH2)14. These phenotypic and functional changes require the interplay of different signaling pathways that activate transcription factors (TFs) from the SNAI, ZEB, and TWIST families22. Inflammatory mediators are known to activate different signaling pathways involved in EndoMT, including the NF-κB23,24,25 and the transforming growth factor (TGF)-β16,17,26. However, in contrast to its role in other tissues and diseases, the role of EndoMT in human BECs upon neuro-inflammation, as seen in MS, remains poorly understood. Here, we questioned whether human BECs undergo EndoMT upon inflammatory insult, thereby causing BECs dysfunction. Furthermore, analyzing human post-mortem brain tissue, we investigate whether EndoMT occurs during MS pathophysiology. We provide evidence that TGF-β1 and IL-1β drive EndoMT in human BECs and we highlight TAK1 as a central regulator of SNAI1, EndoMT and BBB dysfunction. Moreover, we observed vascular alterations associated with EndoMT in MS brain lesions, suggesting that EndoMT may represents a novel pathological mechanism underlying BBB dysfunction during MS pathophysiology.
Materials and methods
Cell cultures and treatment
The human BEC line hCMEC/D3 was kindly provided by Dr. Couraud27 (Institute Cochin, Université Paris Descartes, Paris, France). BECs were grown in EGM-2 Endothelial Cell Growth Medium-2 BulletKit, including basal medium and supplement components according to the manufacturer’s instructions (Lonza, Basel, Switzerland). Human embryonic kidney (HEK) 293T cells were cultured in Dulbecco’s modified Eagle’s medium supplemented with 10% fetal calf serum, 1% penicillin/streptomycin. Cell lines were grown in a 37 °C humidified atmosphere containing 5% CO2. To investigate inflammation-induced EndoMT, BECs were stimulated for 24 h with human recombinant TGF-β1 (10 ng/ml, R&D Systems, Minneapolis, MN, USA), human recombinant IL-1β (10 ng/ml, PeproTech, Rocky Hill, NJ, USA) or with a combination thereof, 1β in human endothelium serum-free medium (Invitrogen, Bleiswijk, The Netherlands). To analyze the nuclear protein content of NF-kB (p65 subunit) and SNAI1, BECs were treated for 4 h with the combination of TGF-β1 and IL-1β in human endothelium serum-free medium. To study the effect of 5Z-7-oxozeaenol (OZ), a potent and selective TGF-β activated kinase 1 (TAK1) inhibitor28, BECs were treated with OZ (1 µM) or with DMSO, as vehicle control, for 1 h prior to TGF-β1 and IL-1β treatment. To study the phosphorylation of TAK1, BECs were treated for 10 min with TGF-β1 and IL-1β together with the phosphatase inhibitor Calyculin A (20 nM, Cell Signaling Technology, Boston, MA, USA) in serum-free medium in the presence or absence of OZ. Primary human BECs were isolated, as previously described, from non-epileptic surgical human CNS material that was obtained from patients who underwent surgical treatment for intractable temporal lobe epilepsy29,30,31,32. Informed consent and ethic approval were given prior to surgery (ethical approval number BH07.001-BSP).
Lentivirus-mediated overexpression (OE) of SNAI1
For the OE of SNAI1, we used the human SNAI1 lentiviral vector pLenti-GIII-CMV-GFP-2A-Puro (Applied Biological Materials, Viking Way Richmond, BC, Canada). Lentiviral particles were produced by co transfection of sub-confluent HEK293T cells with the SNAI1 plasmid or the pLenti-GIII-CMV-GFP-2A-Puro empty vector as a transfer vector with packaging plasmids (pMDLg/pRRE, pRSV Rev, pMD2.G)33 using calcium phosphate as transfection reagent. Infection-competent lentiviral particles were collected 48 h after transfection and the supernatant was centrifuged to remove cell debris. BECs were transduced with the SNAI1-expressing lentivirus. Forty-eight hours after transduction, SNAI1-expressing cells were selected by puromycin treatment (2 µg/ml).
Lentivirus-mediated delivery of short-hairpin (sh)RNA
For knock-down (KD) of SNAI1, we used a vector-based shRNA delivery system. Plasmids from the TRC library (https://www.broadinstitute.org/rnai/trc/lib) targeting human SNAI1 were used to produce SNAI1 shRNA-expressing recombinant lentiviruses. Lentivirus was produced with SNAI1 shRNA plasmids as transfer vector as described above. BECs were transduced with shRNA-expressing lentivirus and selected as described above. The KD efficiency of all 5 constructs was tested, and the most effective construct used in subsequent experiments was TRC454083, encoding sequence GCAAATACTGCAACAAGGAAT that targets nucleotides 551–571 of the NM_005985.3 RefSeq. The TRC SHC002 vector containing an shRNA sequence that does not target any human genes (NTC) was used as a negative control.
Electric cell-substrate impedance sensing (ECIS)
Primary human or cell line BECs (1 × 105) were seeded on calf skin-derived collagen-coated 8W10+ECIS arrays (Ibidi, München, Germany) (collagen from Sigma-Aldrich, Saint Louis, MO, USA). Trans-endothelial electric resistance (TEER) of BECs was measured at multiple frequencies in real-time using an ECISTM Model 1600R (Applied BioPhysics, New York, USA). When maximum barrier resistance was reached, BECs were treated with OZ, TGF-β1 and IL-1β (either separately or in combination). The TEER of confluent, SNAI1-overexpressing BECs was monitored during barrier formation and compared to empty vector-transduced cells. All ECIS measurements were analyzed and subjected to mathematical modeling to calculate the barrier resistance (Rb) at each time point measured34.
Permeability assay
BECs were cultured on calf skin-derived collagen-coated 0.4 µm pore size Transwell filters (Corning, Amsterdam, The Netherlands) (collagen from Sigma-Aldrich, Saint Louis, MO, USA). Paracellular permeability to FITC-dextran (70 kDa, Sigma Aldrich, Zwijndrecht, The Netherlands) in the luminal to abluminal direction was assessed in the presence or absence of OZ, TGF-β1, and IL-1β. FITC-dextran passing to the lower chamber was measured using a FLUOstar Galaxy microplate reader (BMG labtechnologies, Ortenberg, Germany).
Quantitative reverse transcriptase PCR
RNA was isolated using the TRIzol® method (Life Technologies, Bleiswijk, The Netherlands) and cDNA was synthesized with the Reverse Transcription System kit (Promega, Leiden, the Netherlands). Sequences of all primers used are listed in Supplementary table 1. Oligonucleotides were synthesized by Invitrogen (Bleiswijk, The Netherlands). Quantitative Reverse Transcriptase PCR (qRT-PCR) reactions were performed using Fast SYBR Green Master Mix (Applied Biosystems, New York, NY, USA) on a ViiA 7 Real-Time PCR System Expression (Applied Biosystems, New York, NY, USA). Individual gene expression levels were normalized to GAPDH expression levels.
Western blot and nuclear fractionation
BECs were washed with ice-cold phosphate-buffered saline (PBS) and lysed on ice with cell lysis buffer (Cell Signaling Technology, Boston, MA, USA) containing a protease and phosphatase inhibitor cocktail (Roche, Almere, The Netherlands, and Cell Signaling Technology, Boston, MA, USA, respectively), following the manufacturer’s instructions. Nuclear fractions were isolated using the NE-PER extraction kit (Thermo Fisher Scientific, Rockford, IL, USA), following the manufacturer’s guidelines. All samples were diluted in sample buffer (100 mM Tris-HCl pH 6.8, 4% SDS, 20% glycerol, 5% 2-mercaptoethanol and 2% bromophenol blue) and heated to 90 °C for 5 min. Lysates were separated on SDS-PAGE followed by transfer to nitrocellulose for immune-blot analysis. Blots were blocked for 1 h at room temperature with blocking buffer (LI-COR, Lincoln, NE, USA) or 5% milk in 0.1% Tween-20 solution. Subsequently, blots were incubated in blocking buffer containing 0.1% Tween-20 with antibodies against claudin-5 (CLDN5) (Thermo Fisher Scientific, Rockford, IL, USA), VE-cadherin (CDH5) (BD Biosciences, Franklin Lakes, NJ, USA), CDH2 (Sigma-Aldrich, Saint Louis, MO, USA), SNAI1 (Thermo Fisher Scientific, Rockford, IL, USA), β-actin (Santa Cruz, Dallas, TX, USA), α-tubulin (Clone DM1A, Cedarlane Laboratories, Burlington, Canada) and Lamin B (Santa Cruz, Dallas, TX, USA). Primary antibodies were detected and quantified by incubation with IRDye secondary antibodies (LI-COR) and use of the Odyssey infrared imaging system (LI-COR).
Cell viability measurement
Confluent BECs monolayers were left untreated or treated with TGF-β1 and IL-1β for 48 h. Cell viability was determined using exclusion of trypan blue. The number of viable cells was divided by the total number of cells and plotted as % of live cells.
Scratch assay
BECs were plated on a calf skin-derived collagen-coated 12-well plate and grown to confluency (collagen from Sigma-Aldrich, Saint Louis, MO, USA). Subsequently, a scratch was made with a p200 pipet tip. Debris was removed by washing the cells twice with serum-free medium and cells were treated with TGF-β1 and IL-1β or left untreated (control). After 24 h, cell migration was recorded using a Leica DM IL microscope (Leica, Mannheim, Germany). The migration rate was determined by measuring the cell-free area in captured images, using the ImageJ public domain software. Mathematical calculations were as previously described35. The migration rate was expressed as percentage of the scratched area covered by cells over time.
Immunofluorescence microscopy
BECs were seeded in 8-well µ-slides (Ibidi, München, Germany). To investigate the occurrence of EndoMT upon pro-inflammatory stimulation and the nuclear accumulation of NF-kB (p65), cells were treated for 24 h and 4 h, respectively, with TGF-β1 and IL-1β. Where indicated, cells were pre-treated for 1 h with OZ (1 μM) or DMSO, as vehicle control. Cells were fixed with 4% formaldehyde or 75% ice-cold ethanol (Sigma-Aldrich, Saint Louis, MO, USA) and then permeabilized for 15 min using 0.1% Triton-X100 (Sigma-Aldrich, Saint Louis, MO, USA). Non-specific binding was blocked with 10% normal goat serum. Subsequently, cells were incubated with rabbit anti-CLDN5 (Thermo Fisher Scientific, Rockford, IL, USA), mouse anti-CDH5 (BD Bioscience, New Jersey, USA), mouse anti-occludin (OCLN) (Thermo Fisher Scientific, Rockford, IL, USA), mouse anti-CDH2 (Sigma-Aldrich, Saint Louis, MO, USA), rabbit anti-FSP1 (Abcam, Cambridge, UK) or mouse anti-NF-kB (p65 subunit) (Cell Signaling Technology, Boston, MA, USA). Primary antibodies were visualized using goat anti-mouse or goat anti-rabbit Alexa 488 (Molecular Probes, Eugene, OR, USA). To visualize F-actin, rhodamine-labeled Phalloidin (Thermo Fisher Scientific, Rockford, IL, USA) was used. Nuclei were visualized using DAPI (Molecular Probes). Stainings were recorded using the Nikon A1R+ confocal resonant scanning laser microscope (Nikon, Amsterdam, The Netherlands) or the Leica DMI 6000 SP8 microscope (Leica, Mannheim, Germany). NF-kB (p65 subunit) nuclear staining intensity was quantified using NIN ImageJ software analysis in three random fields in each well and data are presented as the average staining intensity of each treatment condition.
Post-mortem human brain tissues
Brain tissue from 12 patients with clinically diagnosed and neuropathologically confirmed MS and from three control cases without neurological diseases was obtained after rapid autopsy and immediately frozen in liquid nitrogen (in collaboration with the Netherlands Brain Bank, Amsterdam). The Netherlands Brain Bank received permission to perform autopsies, for the use and for access to medical records for research purposes from the ethical committee of the VU university medical center Amsterdam, the Netherlands. White matter samples were selected on the basis of post-mortem magnetic resonance imaging. All patients and controls, or there next of kin, had given informed consent for autopsy and use of their brain tissue for research purposes. Clinical data are presented in Table 1.
Immunohistochemistry
For immunohistochemical analysis, 5 µm cryosections of frozen brain tissues were fixed in ice-cold acetone for 10 min. After washing with PBS, sections were incubated overnight at 4 °C with primary antibodies against Myelin proteolipid protein (PLP) (Bio-Rad, Hercules, CA, USA), Human leukocyte antigen–antigen D related (LN3) (Thermo Fisher Scientific, Rockford, IL, USA), SNAI1 (Abcam, Cambridge, UK) or FSP1 (Abcam, Cambridge, UK). Subsequently, sections were washed with PBS and incubated with Envision Dual Link (DAKO, Glostrup, Denmark) for 30 min at room temperature, followed by visualization with the peroxidase substrate 3,3′-diaminobenzidine (DAKO, Glostrup, Denmark). Sections were incubated with hematoxylin for 1 min and extensively washed with tap water for 10 min. Finally, sections were dehydrated with ethanol followed by xylol and mounted with Entellan (Merck, Darmstadt, Germany). Protein expression was quantified using NIN ImageJ software analysis in three random fields in each slice, and data are presented as the average staining intensity of different groups.
Immunofluorescent double labeling was as following: after fixation in ice-cold acetone sections were permeabilized with 0.1% Triton X-100 (Sigma-Aldrich, Saint Louis, MO, USA), incubated for 30 min with 10% normal goat serum and finally incubated overnight at 4 °C with antibodies against SNAI1 (Abcam, Cambridge, UK) or FPS1 (Abcam, Cambridge, UK). The primary antibodies were visualized by incubation with goat anti-rabbit Alexa 488 (Molecular Probes) for 1 h at RT. Next, to visualize endothelial cells, sections were first incubated with anti-CD31 primary antibody (DAKO, Glostrup, Denmark) overnight at 4 °C which was visualized by incubation with goat anti-mouse Alexa-555 (Molecular Probes) for 1 h at RT. After washing, DAPI was used for nuclear staining and slides were mounted in Mowiol (Sigma-Aldrich, Saint Louis, MO, USA). Staining was recorded using a Nikon A1R+ confocal resonant scanning laser microscope (Nikon Amsterdam, The Netherlands).
Statistical analysis
Results are shown as mean values with standard error of the mean (SEM). Statistical analysis was performed using GraphPad Prism software (v7 GraphPad Software, La Jolla, CA, USA). Comparisons between 2 experimental groups were made by unpaired Student t-test and between >2 groups by one-way ANOVA followed by post-hoc Bonferroni correction. Differences were considered significant at p < 0.05. All statistical tests are described in the figure legends.
Results
TGF-β1 and IL-1β induce human BECs dysfunction
To determine the effect of TGF-β1 and IL-1β on BECs function, we first analyzed barrier properties of the BECs upon stimulation with TGF-β1 and IL-1β as single stimuli. Next, because both TGF-β1 and IL-1β are secreted by reactive CNS-resident cells during MS pathogenesis36,37,38,39, we investigated the effect of the combined pro-inflammatory stimuli by measuring the TEER and the permeability to FITC-dextran. TGF-β1 and IL-1β stimulation resulted in a significant decrease in TEER (Fig. 1a) (18.7% and 35.2% reduction to control, respectively) and a profound increase in macromolecular permeability of the barrier (36.8% and 58.5% increase to control, respectively) (Fig. 1b). The combination of TGF-β1 and IL-1β was able to induce BECs dysfunction to a higher extent compared to the single treatments (51.3% TEER reduction and 119% permeability increase to control, respectively), suggesting an additive effect of IL-1β on TGF-β1 stimulation. Importantly, TGF-β1 and IL-1β did not appear to affect cell viability (Supplementary fig. 1). Taken together these data show a specific detrimental role for TGF-β1 and IL-1β on BECs barrier properties.
Inflammation induces endothelial to mesenchymal transition of BECs
TGF-β1 is a major inflammatory stimulus that promotes EndoMT40 and it has been reported that IL-1β amplifies its effect41. We hypothesized that TGF-β1-induced and IL-1β-induced BECs dysfunction might be due to BECs de-differentiation through EndoMT. To investigate this, we first tested whether TGF-β1 and IL-1β could activate SNAI1, a master regulator of EndoMT22. Interestingly, SNAI1 mRNA levels were significantly induced only by TGF-β1, but could be further enhanced by IL-1β (Supplementary fig. 2A). We next assessed the capacity of TGF-β1 and IL-1β to induce EndoMT in BECs, by determining mRNA and protein levels of key molecules involved in this process. Our results indicated a significant upregulation of TFs associated with EndoMT, among which SNAI1 showed the highest increase. Next to that, mRNA levels of several junctional markers, like claudin-1 and claudin-5 (CLDN1, CLND5), OCLN, ATP binding cassette subfamily B member 1 (ABCB1) and ATP-binding cassette sub-family G member 2 (ABCG2) were significantly reduced upon TGF-β1/IL-1β treatment. Finally, mRNA levels of key mesenchymal markers like FN1, CDH2, vimentin (VIM), transgelin (TAGLN) and FSP1 were significantly upregulated upon TGF-β1/IL-1β stimulation (Fig. 2a). Treatment with TGF-β1 and IL-1β significantly upregulated nuclear and total SNAI1 (Fig. 2b, c). Moreover, a significant decrease in the AJ and TJ proteins like CLDN5 and CDH5, and an upregulation of mesenchymal markers CDH2 and FSP1 was observed upon TGF-β1/IL-1β stimulation at protein level, as shown by western blot and immunocytochemistry analysis (Fig. 2d–p). Furthermore, TGF-β1/IL-1β-treated BECs adopted a typical EndoMT spindle-like shape (Supplementary fig. 2B, C), revealed increased formation of actin stress fibers (Supplementary fig. 2D, E) and showed increased migration capacity compared to control BECs (Supplementary fig. 2F–J). Taken together, these data indicate that human BECs undergo EndoMT upon TGF-β1 and IL-1β stimulation. This transition is characterized by an increase in EndoMT-related TFs, a downregulation of brain endothelial markers, and an upregulation of mesenchymal markers accompanied by morphological changes associated with cytoskeleton reorganization.
SNAI1 promotes EndoMT in BECs
To further characterize the role of SNAI1 during EndoMT in BECs, we generated a specific SNAI1-overexpressing cell line (Supplementary fig. 3). Resting SNAI1-overexpressing BECs displayed a phenotype closely resembling BECs treated with TGF-β1/IL-1β (Fig. 3a), indicating that SNAI overexpression was sufficient to induce an EndoMT phenotype in BECs. Moreover, SNAI1-overexpressing BECs displayed significantly reduced TEER (11.9% reduction) and increased permeability (24.6% increase) to fluorescent-labeled dextran in comparison to control/empty vector-transduced BECs (Fig. 3b, c). Finally, to corroborate the importance of SNAI1 in promoting TGF-β1/IL-1β-induced EndoMT, we reduced its expression by shRNA (Fig. 3d). Upon TGF-β1 and IL-1β stimulation, SNAI1-deficient BECs displayed significantly reduced SNAI1 mRNA induction, a complete recovery of CLDN5 mRNA expression and impaired induction of EndoMT, as marked by FN1 mRNA expression levels (Fig. 3c) compared to NTC-transduced BECs. Taken together, these results suggest that SNAI1 expression is essential and sufficient to induce BEC de-differentiation, and promotes BECs dysfunction.
TAK1 as central mediator of EndoMT
TAK1 is a serine/threonine protein kinase that has long been considered as a key mediator of inflammation and the non-canonical TGF-β and IL-1β signaling pathway42,43. TAK1 has recently been shown to play a role in the induction of EndoMT44. However, data are lacking on its role in EndoMT in BECs. We hypothesized that TAK1 might play a central role in TGF-β1- and IL-1β-induced EndoMT. In line with this hypothesis, our data showed a strong induction of TAK1 (Thr184/187) phosphorylation, a necessary step for its activation45,46, upon stimulation of BECs with TGF-β1 and IL-1β (Fig. 4a). Furthermore, we pharmacologically inhibited TAK1 activation using the selectively inhibitor OZ28. Pre-treatment of BECs with OZ resulted in an inhibition of TGF-β1 and IL-1β-induced TAK1 activation (Fig. 4a). Furthermore, to test the downstream effect of TAK1 inhibition, we analyzed the prototypical pro-inflammatory and pro-EndoMT transcription factor25,47 NF-kB (p65 subunit) nuclear content in BECs treated with OZ prior to TGF-β1 and IL-1β stimulation. We observed that TGF-β1 and IL-1β stimulation were able to increase the nuclear content of p65 (Fig. 4b–f). Next, our data showed that blocking TAK1 activation results in inhibition of the NF-kB signaling pathway, as marked by a significant reduction of the p65 nuclear content (Fig. 4d–f). Importantly, TAK1 inhibition partially reversed the EndoMT gene signature induced by TGF-β1 and IL-1β stimulation (Fig. 4g, h). Moreover, we studied the functional properties of the barrier endothelium upon TAK1 inhibition by pre-treating a BEC monolayer with OZ 1 h prior TGF-β1 and IL-1β stimulation. Inhibition of TAK1 resulted in a significant increase in TEER (Fig. 4i) (31.4% increase) and a decrease in macromolecular permeability (23.7% decrease) of the barrier compared to TGF-β1- and IL-1β-treated cells (Fig. 4J). Finally, we validated data obtained with the BEC cell line using primary human BECs. We first measured the TEER of primary human BECs in response to TGF-β1/IL-1β stimulation and to OZ pre-treatment. Our data indicate that primary human BECs respond to TGF-β1 and IL-1β, and that OZ pre-treatment restored the detrimental effect of TGF-β1/IL-1β stimulation, similar to the BEC cell line (Supplementary fig. 4A). Also, SNAI1 level regulation showed the same pattern as compared to BECs cell line (Supplementary fig. 4B). Collectively, our data demonstrate a central role for TAK1 in promoting SNAI1 transcription and, consequently, inducing EndoMT in BECs. Importantly, pharmacological inhibition of TAK1 activation by TGF-β1 and IL-1β prevents EndoMT and restores barrier properties.
EndoMT occurs in the vasculature of MS patients
Importantly, TGF-β1 and IL-1β immune-positive astrocytes and macrophages/microglia were found to be present during active and chronic active lesions, highlighting their role during the disease development48. Therefore, to determine whether EndoMT features are present in the brain vasculature of human MS patients, we first assessed the expression levels and cellular localization of SNAI1 and FSP1, as markers of EndoMT, in well-characterized WM MS lesions and healthy controls (Table 1). Immunohistochemical analysis of WM from non-neurological controls showed weak vascular SNAI1 and FSP1 protein expression (Fig. 5a, b), whereas both proteins were strongly expressed in MS patients (Fig. 5c–n), with significantly increased expression levels in chronic active lesions (Fig. 5o, p). Particularly, SNAI1 and FSP1 vessel expression is shown in Fig. 5q, r. Taken together, we observe and describe for the first time the presence of EndoMT-related feature in MS patient brain vasculature, suggesting that EndoMT might play an important role during MS pathology.
Discussion
Here we show that EndoMT drives BEC de-differentiation upon neuro-inflammation and mediates inflammation-induced BECs dysfunction. This transition is characterized by an increase in EndoMT-related TFs, a downregulation of brain endothelial markers, and an upregulation of mesenchymal markers accompanied by morphological changes associated with cytoskeleton reorganization, ultimately leading to BBB dysfunction. EndoMT is the result of a concerted action of multiple TFs22, which complicates the study of the downstream effects of each individual one. To investigate the specific role of the most upregulated TF, SNAI1, we generated a BEC cell line overexpressing SNAI1. Using this model system, we show that SNAI1 in itself is sufficient to induce BEC de-differentiation and promote BBB dysfunction. Notably, the higher BBB impairment observed upon TGF-β1 and IL-1β might be the result of the action of the other EndoMT-associated TFs, which were not altered in the specific SNAI1 overexpressing BECs. Furthermore, we provide data supporting the role of TAK1 as master kinase and hub in a network of different pro-inflammatory and EndoMT-inducing signaling pathways and TFs, that include TGF-β1, IL-1β, NF-kB, and SNAI1. Importantly, TAK1 inhibition resulted in reduced transcriptional activity of NF-kB, and in reduced nuclear expression of SNAI1, consequently inhibiting EndoMT induction upon TGF-β1 and IL-1β stimulation, thereby restoring barrier function. Finally, we show increased expression of SNAI1 and FSP1, two well-known EndoMT markers14,40,49, in the brain vasculature of MS patients compared to healthy control subjects. Increased SNAI1 and FSP1 expression was observed mostly in chronic active lesions compared to active and chronic inactive lesions50,51,52. Interestingly, EndoMT has been shown to be responsible for endothelial cell de-differentiation in endothelial cells from different vascular beds16,49,50,53,54,55 and has recently raised significant interest in the fields of BECs dysfunction and brain pathologies19,20,21,49,56. However, to date, a putative link between EndoMT and inflammation-induced BBB dysfunction, as seen in MS, remained unknown. Our results, together with previous studies showing tight junctions abnormalities and BBB dysfunction in MS lesions57,58,59,60,61, support our hypothesis regarding the occurrence of EndoMT in MS pathology. Importantly, astrocyte and microglia activation is a key process during MS as these glial cells contribute to brain endothelial inflammation and dysfunction via secretion of pro-inflammatory mediators, including TGF-β1 and IL-1β36,37,38,39,62. Notably, TGF-β1 and IL-1β immune-positive astrocytes and macrophages/microglia were found to be present in active and chronic active lesions, highlighting their role during disease development48. Inflammation is one of the major inducers of EndoMT, with TGF-β playing a dominant role in the process17,40,63 and IL-1β being able to further enhance its effect41,64. Interestingly, both TGF-β and IL-1β downstream signaling cascades have been shown to converge at the level of TAK1, a central regulator of the transcription factors NF-kB as well as AP-143,65. TAK1 belongs to the mitogen-activated protein kinase 3 (MAP3K) kinase family and is involved in the control of TFs like SNAI1, thereby influencing the process of EndoMT66,67. Our in vitro data pointing towards a central role of TAK1 signaling in the induction of EndoMT are in line with previous studies reporting that NF-kB activation in BECs is associated with increased BBB permeability36,68,69,70 and that NF-kB inhibition through suppression of TAK1 inhibits epithelial and endothelial de-differentiation44,71,72,73. Nevertheless, other groups proposed a protective role for TAK1 and NF-kB signaling in BBB function, showing that NF-kB activation stabilized the TJ protein occludin and that blocking TAK1 resulted in BBB disruption and BECs death64. This apparent contrast might be due to the fact that TAK1 and NF-kB signaling was studied in mice under basal conditions, whereas we demonstrate EndoMT alterations in human BECs upon inflammatory insults. Our data, supporting a role of SNAI1 and EndoMT as underlying mechanism of BBB dysfunction, are in accordance with a previous report where increased SNAI1 expression was found to mediate BBB disruption and bacterial penetration upon meningeal bacterial infection19. To date, different downstream pathways involved in CNS EndoMT have been described, including the MEK1/2-ERK1/2 pathway19, the MEK5‐ERK5 cascade that in turn upregulates Kruppel-like factor 4 (KLF4)74, and the Smad-dependent TGF-β signaling pathway20,21,74. Due to the different conditions used in these studies, and due to the multiple signaling pathways and downstream molecules involved in EndoMT, it is challenging to dissect the specific disease-associated signals leading to EndoMT. Our current data do not exclude possible contributions of TAK-1 independent signaling pathways to the observed induction of SNAI1 mRNA expression and subsequent EndoMT induction. Nevertheless, the inhibition of TAK1 resulted in a significant prevention of features of EndoMT and reinstatement of the BBB function, thus highlighting the key role of TAK1 in the regulation of SNAI1 and EndoMT, in the specific context of BEC neuro-inflammation during MS. Importantly, the therapeutic potential of TAK1 inhibition has been recently explored and it has been shown that blocking TAK1 confers neuroprotection against early brain injury75, cerebral ischemia76 and experimental autoimmune encephalomyelitis77. Although our data show EndoMT-feature during MS pathophysiology, it still remains challenging to determine the exact frequency and location of these events in vivo. Further research will aid in better understanding and characterizing the role of EndoMT during MS pathogenesis and progression, and may provide new leads in the development of specific disease-modifying therapies that directly target the BBB. In conclusion, our data describe a novel mechanism underlying BEC de-differentiation upon neuro-inflammation, pointing to a protective role of OZ (as a TAK1 inhibitor), highlighting its therapeutic potential to attenuate inflammatory events affecting BECs function. Furthermore, with the present study we have broadened the current framework by identifying for the first time EndoMT-associated features in MS.
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Acknowledgements
The authors wish to thank Dr. Couraud (Institute Cochin, Université Paris Descartes, Paris, France) for providing the human BEC line hCMEC/D3, and the Advanced Optical Microscopy core facility in O|2 (AO|2M) for their expertise of and help with the microscopy applications (http://www.ao2m.amsterdam). This work was supported by the European Union’s Seventh Framework Program FP7 under Grant agreement 607962 (nEUROinflammation).
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C.D.T., R.D.F., and H.E.V. conceived and designed research studies; C.D.T. conducted experiments, acquired and analyzed data; M.C. and E.G. performed experiments with primary endothelial cells; B.V.H. prepared overexpression and knock-down cell lines and helped performing the experiments; I.D. and S.V.D.P. helped in performing experiments; D.G. provided constructs for the generation of the SNAI1 knock-down brain endothelial cells; E.H.V. provided reagents; R.D.F., J.V.H., G.K., and H.E.V. provided scientific suggestions; C.D.T. wrote the manuscript; R.D.F., D.G., A.P., J.V.H., G.K., and H.E.V. revised the manuscript.
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Derada Troletti, C., Fontijn, R.D., Gowing, E. et al. Inflammation-induced endothelial to mesenchymal transition promotes brain endothelial cell dysfunction and occurs during multiple sclerosis pathophysiology. Cell Death Dis 10, 45 (2019). https://doi.org/10.1038/s41419-018-1294-2
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DOI: https://doi.org/10.1038/s41419-018-1294-2
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