Abstract
The blood-brain barrier (BBB) serves as a highly intricate and dynamic interface connecting the brain and the bloodstream, playing a vital role in maintaining brain homeostasis. BBB dysfunction has been associated with multiple neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS); however, the role of the BBB in neurodegeneration is understudied. We developed an ALS patient-derived model of the BBB by using cells derived from 5 patient donors carrying C9ORF72 mutations. Brain microvascular endothelial-like cells (BMEC-like cells) derived from C9ORF72-ALS patients showed altered gene expression, compromised barrier integrity, and increased P-glycoprotein transporter activity. In addition, mitochondrial metabolic tests demonstrated that C9ORF72-ALS BMECs display a significant decrease in basal glycolysis accompanied by increased basal and ATP-linked respiration. Moreover, our study reveals that C9-ALS derived astrocytes can further affect BMECs function and affect the expression of the glucose transporter Glut-1. Finally, C9ORF72 patient-derived BMECs form leaky barriers through a cell-autonomous mechanism and have neurotoxic properties towards motor neurons.
Graphical Abstract
Supplementary Information
The online version contains supplementary material available at 10.1186/s12987-024-00528-6.
Keywords: Stem cells, Blood brain barrier, Amyotrophic lateral sclerosis, C9ORF72, In vitro modelling, Neurodegeneration
Introduction
The blood-brain barrier (BBB) serves as a highly intricate and dynamic interface connecting the brain and the bloodstream, carrying out several specialised functions. It comprises endothelial cells lining the capillary wall, astrocyte end-feet enveloping the capillary, and pericytes embedded in the capillary basement membrane [1]. The BBB permits the passive passage of hydrophobic molecules such as O2, CO2, and hormones, as well as small polar molecules. It regulates the exchange of metabolic substrates, such as glucose, using specific transport proteins across the barrier. Whilst tight regulation of molecular exchange between the blood and the brain is crucial for central nervous system function, the endothelial interface limits the entry of neuro-therapeutic molecules, thus making manipulations of BBB permeability an interesting target [2]. Conversely, disruptions in the BBB commonly occur in neurodegenerative diseases like Alzheimer’s (AD) and amyotrophic lateral sclerosis (ALS). Despite growing evidence of BBB dysfunction in these conditions, further research is needed to understand its role in disease progression [3].
Brain microvascular endothelial cells (BMECs) are the major cellular element in the BBB [4]. These cells present unique characteristics that distinguish them from the vascular endothelium in the rest of the body. BMEC-like cells lack fenestrations, express tight junctions (TJs) and specialised transporters, and interact with other cell types comprising the neurovascular unit (NVU). These attributes allow them to regulate the movement of ions, molecules, and cells between the blood and the brain [5].
The other main component of the BBB is the astrocyte [6], which plays an essential role in establishing and maintaining it. Astrocytic end-feet form a coating network around the brain vasculature, the glia limitans, and, together with endothelial cells and pericytes [7], they form the BBB, separating the bloodstream from the brain parenchyma. All components interact with each other, contributing to BBB function, development, and maintenance [4]. It is well documented that astrocyte function dysregulation is associated with neurodegenerative diseases such as ALS [8], AD [9]; and paediatric neurological disorders like Rett syndrome [10]. ALS, also known as motor neuron disease (MND), is a fatal neurodegenerative disorder characterised by progressive loss of upper and lower motor neurons (MNs), causing progressive paralysis, muscle atrophy due to denervation and, consequently, death due to respiratory failure. To date, there is no effective drug treatment for ALS. At present, Riluzole, Edaravone and Relyvrio are the only drugs approved by the US Food and Drugs Administration (FDA), providing modest benefits only in some patients [11].
Although most cases of ALS are sporadic (sALS) in origin, meaning that there is no family history of the disease, about 10% of patients are familial (fALS). Even though more than 35 genes have been linked with fALS, the most common disease-causing mutations are hexanucleotide (GGGGCC) intronic repeat expansions in the C9ORF72 (C9) gene, followed by mutations in SOD1 [12]. Remarkably, familial and sporadic ALS are for the most part clinically indistinguishable. Importantly, C9ORF72 mutations are also known to cause frontotemporal dementia (FTD). Although the link between ALS pathology and BBB dysfunction is not clear, transgenic rodents expressing human SOD1 mutations develop a leaky BBB with higher permeability, enlarged astrocytic end-feet, and an interrupted basement membrane associated with a reduction of BMEC-like cells and astrocytes, thus leading to oedema and microbleeds. This pathological phenotype is also observed in ALS patients [13]. The early BBB breakdown might appear as cerebral microbleeds, which are frequently seen in vascular dementia [14] and AD patients [15], suggesting that BBB failure might precede neurodegeneration.
Although vascular pathology has not been frequently studied in C9 mutation carriers, a recent publication reported increased glucose transport, together with enhanced Glucose-1 transporter expression in the BBB of a C9-ALS mouse model. In contrast, other permeability processes, such as passive diffusion or efflux transport, remained unaffected [16]. Consistently, P-glycoprotein transport was not altered in C9-ALS mice, and only a mild increase in ZO-1 expression was reported [16]. In addition, Sweeney et al. 2019 [17] proposed that BBB disruption due to endothelial cell degeneration causes extravasation of erythrocytes and accumulation of plasma-derived proteins such as Immunoglobulin G (IgG).
Currently, there is limited information available on how BBB breakdown affects the progression of ALS. However, a cross-sectional study by Prell et al. [18], focussing on cerebrospinal fluid and blood samples taken from ALS patients, found that there is no correlation between higher disease aggressiveness and markers of BBB breakdown. Thus, indicating that this pathological phenotype might be secondary to neurodegeneration.
Considering the knowledge gap in this area of ALS/FTD pathology and the complexity of dissecting the contribution of different cell types to the neurodegenerative process, the present study sought to interrogate a human C9ORF72 patient-derived model of the BBB to test the leakiness of such a system and unravel the role of endothelial cells in BBB dysregulation. We demonstrated that C9ORF72 patient-derived endothelial cells form leaky barriers through a cell-autonomous mechanism and have neurotoxic properties towards healthy motor neurons.
Results
Hi-PSC-derived BMEC-like cells express a vascular/endothelial profile and show barrier functionality
One of the most challenging aspects of studying the role of the BBB in neurodegenerative diseases is the limited availability of human in vitro models. Hence, we first set off to differentiate brain microvascular endothelial-like cells (BMEC-like cells) from a total of 2 human induced pluripotent stem cell lines (hi-PSCs) derived from healthy donor’s fibroblasts, as previously described by others [19]. As reported, after 7 days of differentiation and subsequent subculture, hi-PSC-derived BMEC-like cells expressed various endothelial markers such as Claudin-5 and vascular endothelial growth factor A (VEGF-A) demonstrated by immunostaining (Fig. 1A). Indeed, upon differentiation, hi-PSCs derived BMEC-like cells showed a transcriptional reduction in the pluripotency marker POU5F1 (OCT4) and showed increased RNA expression of cell-specific genes encoding for tight junction molecules such as Cadherin-5 (CDH5 or Ve-Cadherin), Claudin-5 (CLDN5) and Occludin (OCLN), as well as the platelet endothelial cell adhesion molecule 1 (PECAM1 or CD31) and the Von Willebrand factor (VWF) (Fig. 1B), which are involved in both the establishment and the maintenance of BBB permeability [20].
We then assessed BMEC functionality by measuring transendothelial electrical resistance (TEER) [21]. TEER measurement has been widely used and is the gold standard to assess the functionality of the BBB, both in vivo and in vitro. The maximum TEER recorded in vivo was 5400 Ω x cm2, in adult rats [22]. In terms of in vitro modelling, Lippmann and colleagues successfully developed brain endothelial like-cells using human induced pluripotent stem cells, with a TEER of 4000 Ω x cm2 [19].
Using a similar approach, BMEC-like cells were seeded onto Transwell™ inserts (Fig. 1C) and monitored daily for 4 days (Fig. 1D). Control BMEC-like cells displayed a typical increase in TEER values over time from day 1 to 3, as tight junctions developed and matured to achieve TEER values above 4000 Ω x cm2 at day 3 of subculture across independent differentiations (N = 3). As previously reported by others, the resistance rapidly decreased on day 4 [19] (Fig. 1D).
C9-ALS BMEC-like cells monolayer displays functional abnormalities
Confident that the model developed from healthy hi-PSC recapitulated BMEC-like morphological and functional characteristics, we used the same differentiation protocol to interrogate the effects of the C9ORF72 carriers and two healthy donors of similar age were differentiated into BMEC-like cells (Supplementary Table 1) and were interrogated by RT-qPCR for the expression of several BMEC-related markers that have been previously associated with ALS or BBB dysfunction in other pathologies (Fig. 2A, Supplementary Fig. 1) and immunocytochemistry (Supplementary Fig. 2). Briefly, we quantified transcripts encoding tight junction and adhesion proteins (VE-Cadherin, Claudin-5, JAM-2, Occludin, ZO-1); transporters (ABCB1 and SLC1A1, 2, 3); key receptors (INSR, RAGE); cytokines (TGFB1) and clotting factors (VWF). Overall, excluding Occludin and TGFB1, the data revealed a widespread transcriptional upregulation of BBB-associated structural proteins, transporters and receptors in C9-ALS BMEC-like cells compared to controls (Fig. 2A, Supplementary Fig. 1).
To assess whether these transcriptional alterations were associated with functional dysregulation, the monolayer permeability was tested by TEER measurements. The C9-ALS BMEC-like monolayer appeared visibly intact and macroscopically indistinguishable from its healthy counterpart (Fig. 2B and Supplementary Fig. 3). On day 1 of the assessment, TEER values for control and C9-ALS cells were comparable (1000 and 800 Ω x cm2 respectively). However, on day 2, the TEER for C9-ALS BMEC-like cells failed to increase to the same level as the healthy control monolayer, with the C9-ALS BMEC-like TEER averaging approximately 2500 Ω x cm2; whereas the control monolayer reached a TEER of 4000 Ω x cm2. This significant difference was still present at day 3 with control BMEC-like cells sustaining a TEER measurement of 4000 Ω x cm2 and C9-ALS BMCs displaying a loss of membrane electrical resistance (900 Ω x cm2). Finally, on day 4, both control and C9-ALS monolayers displayed the typical collapse in TEER measurement [19], which declined below 1000 Ω x cm2 (Fig. 2C).
As we had identified a dysregulation in the P-glycoprotein (P-gp) transcript (ABCB1) (Fig. 2B), we next evaluated the efflux activity of this key transporter in BMEC-like cells. P-glycoprotein activity was tested by measuring the accumulation of its substrate, Rhodamine 123, via fluorescence, in the presence or absence of Cyclosporin A, a P-glycoprotein inhibitor (Fig. 2D). Both CTR and C9-ALS BMEC-like cells were incubated with Cyclosporin-A and showed a significant increase in fluorescence accumulation, indicating active P-glycoprotein function. However, patient P-glycoprotein efflux activity was significantly higher than control BMEC-like cells.
C9-ALS iAstrocytes conditioned medium is toxic to BMEC-like cells
Astrocytes are key players in BBB functionality, as they support BMECs through the secretion of trophic factors and maintain homeostasis. Research carried out by our group and others has shown that astrocytes are major players in ALS pathology [23, 24]. Above all, it has been reported that astrocytes derived from either post-mortem tissues or fibroblasts (iAstrocytes) from ALS patients are toxic towards motor neurons and this toxicity is also transferred through conditioned medium [25, 26]. Hence, we wanted to explore the effect of iAstrocytes on BMEC-like cells.
When C9-ALS BMEC-like cells were co-cultured either with healthy or with C9-ALS iAstrocytes, they displayed very poor TEER properties, comparable to the values obtained from the monocultures (Fig. 1D, Supplementary Fig. 4). Healthy astrocytes could not correct the cell-autonomous defects of the C9-ALS BMEC-like cells and C9-ALS iAstrocytes did not worsen their barrier phenotype (Supplementary Fig. 4).
We next interrogated the effect of C9-ALS iAstrocytes on BMEC-like cells from healthy individuals in a cell-to-cell contact as well as in a non-contact paradigm (Fig. 3A). For this experiment, BMEC-like cells were seeded on the apical chamber of the Transwell™ insert and iAstrocytes were placed either in the basal chamber (contact culture) or in the well underneath, with no physical contact but sharing the culture media (non-contact co-culture). Interestingly, the TEER of healthy BMEC-like cells co-cultured with C9-ALS iAstrocytes in the contact modality was unaffected (Fig. 3A) compared to BMEC-like cells in monoculture, while one would expect an increase in TEER when astrocytes and BMECs are cultured together. In contrast, a decrease in the TEER measurements of 36% (− 1400 Ω x cm2) was recorded among the healthy BMEC-like cells when in non-contact co-culture with C9-ALS iAstrocytes.
To further explore the astrocyte-endothelial cells interaction within the barrier features, iAstrocyte conditioned media was added to BMEC-like cells for 48 h. Interestingly, the Glut-1 transporter protein was found to be upregulated in both healthy and C9-ALS BMEC-like cells after adding C9-ALS iAstrocytes conditioned media, thus indicating an active metabolic cross-talk between the two cell types through secreted factors. In contrast, the tight junction Claudin-5 protein expression decreased in the presence of C9-ALS iAstrocyte conditioned media (Fig. 3B). In the most severe condition, C9-ALS BMECs treated with C9-ALS iAstrocyte media, Claudin-5 staining while still junctional, it presents as puncta (Fig. 3B).
Finally, we used the LDH colourimetric assay to determine whether the differences observed in the TEER measurements and protein quantification were due to cytotoxicity. BMEC-like cells from healthy donors were assessed in monoculture at baseline and after 48 h in iAstrocyte conditioned medium (Fig. 3C). Plain astrocyte media-treated BMEC-like cells were used as controls (non-cond iA media).
C9-ALS iAstrocyte conditioned medium had a detrimental effect on healthy BMEC-like cells, as shown by an increase in LDH activity of over 60% (Fig. 3C) in comparison to untreated and healthy astrocyte-conditioned medium-treated cells. These results provide evidence that C9-ALS astrocyte toxicity extends beyond motor neurons.
C9-ALS BMEC-like cells display metabolic defects
Since BMEC-like cells from C9-ALS donors displayed severe functional defects in a cell-autonomous fashion, we next decided to interrogate the expression and localisation of Claudin-5 and Glut-1, the major tight junction and main glucose transporter of the BBB respectively.
At the transcriptional level, C9-ALS BMEC-like cells displayed upregulation of CLDN5 (Claudin-5) (Fig. 1A), however, protein quantification and localisation were comparable to their healthy counterparts (Supplementary Fig. 2).
However, the expression of Glut-1 was significantly altered in C9-ALS BMEC-like cells, compared to controls, with an overall increase in protein immunofluorescence signal (Fig. 4A).
Due to the important metabolic role of BMECs at the BBB and the identified dysregulation in Glut-1, we decided to assess the metabolic function of healthy and C9-ALS BMEC-like cells using the Seahorse XF Real-Time ATP Rate Assay in the presence of mitochondria inhibitors (Fig. 4B). Consistent with the hypothesis that Glut-1 dysregulation would have downstream effects on metabolism; the data showed that C9-ALS BMEC-like cells display significantly higher basal respiration and ATP-linked respiration, while basal glycolysis is significantly downregulated (Fig. 4C).
C9-ALS BMEC-like cells conditioned medium reduce neurite length of healthy MNs
Once established that C9-ALS BMEC-like cells display cell-autonomous defects, such as impaired TEER and metabolism along with mild levels of cytotoxicity, we decided to explore the effect of BMEC-like cells on healthy control (CTR) motor neurons (MNs). To avoid confounding effects from contact cultures, we used the BMEC-like cells conditioned media, shown to be cytotoxic as per an increase in the lactate release, measured by the LDH test (Fig. 5A). MNs were derived from healthy hi-PSCs and treated with 30% BMEC-like cells conditioned medium for 3 days (Fig. 5B). No differences among MNs treated with CTR BMEC-like cells conditioned media or untreated were observed. Hence, contrary to what is reported for astrocytes [27], the BMEC-like cells conditioned media from healthy donors did not improve neurite length in healthy MNs (Fig. 5C, D). However, C9-ALS BMEC-like cells conditioned medium significantly decreased the total neurite length of treated CTR MNs by 93.8% (Fig. 5C and D), hence causing extensive cell death.
Discussion
The BBB is a multi-functional compartment that shields the brain from external agents to protect it from infections and toxic molecules. It facilitates gas and nutrient exchange through a complex network of endothelial cells, astrocyte end-feet, and pericytes along capillaries.
BBB dysfunction is implicated in several neurodegenerative disorders [3]. While a clearer link has been described in dementia [28], little is known about the role of endothelial cells in ALS pathogenesis [29].
Given that C9ORF72 (C9) repeat expansions are the most common genetic cause of ALS and frontotemporal dementia [12], we decided to investigate the characteristics and function of brain microvascular endothelial cells (BMEC-like cells) using 5 different C9-ALS patient-derived pluripotent stem cell lines (hi-PSCs).
First, we assessed the endothelial properties of BMEC-like cells. In contrast to the results reported in C9-ALS animal models, where most of the tight junctions seem to be downregulated at the protein level [16]; many of the transcripts were upregulated in C9-ALS BMEC-like cells. An example is Cadherin-5 (Ve-Cadherin), which is exclusively expressed in endothelial cells and is involved in adherens junction assembly and maintenance [30, 31]. The junctional adhesion molecule Jam-2 (Jam-b) is involved in the regulation of cell polarity, endothelium permeability and leukocyte migration. Jam-2 downregulation might have a positive effect on immune disorders, suggesting a role in disease pathophysiology [32]. The tight junction 1 or ZO-1 transcript level was also higher in C9-ALS BMEC-like cells compared to CTR-BMEC-like cells. ZO-1 is essential for BBB assembly, as this protein is responsible for the organization of various components of the tight junction and for linking them to cytoskeletal actin [33].
Gene expression alterations do not always correspond to alterations in protein levels [34] due to the several processing steps between RNA and protein synthesis, especially in disease cases, such as C9-ALS, where RNA nucleo-cytoplasmic transport, as well as protein synthesis and turnover, are impaired [35].
In our study, Claudin-5 and other tight junctions were significantly upregulated at the mRNA level in C9-ALS BMEC-like cell monocultures compared to healthy BMECs, while protein levels in the membrane appeared unchanged via immunostaining. These results are inconsistent with the significant barrier defects detected via TEER measurements. In this context, transcriptional upregulation might reflect a compensatory mechanism to counteract a functional defect and failure to detect protein expression alterations could be explained by the technical limitations of immunostaining, which is only semi-quantitative and might fail to detect small changes. In addition, staining quantification was performed on the whole cell, rather than in the membrane, where tight junctions fulfil their function, hence potentially accounting for the difference between protein expression and functionality.
Of note, BBB integrity is not only linked to Claudin-5, in fact, several Claudins contribute to BBB electrical resistance [36]. Hence, our assessment of specific causative tight junction changes responsible for membrane permeability defects is limited. Several factors, such as an overall dysregulation of tight junction expression and membrane composition, post-translational modifications and splicing variants could cause defects in C9-ALS BMEC barrier properties. Subtle changes in BBB permeability can also be detected via tracer permeability assays, such as fluorescein and Evans blue-albumin, which were not performed in this study.
Lactate dehydrogenase (LDH) cytotoxicity or release test, which measures the LDH in the cell culture supernatant showed that C9-ALS BMEC-like cells showed a cytotoxicity value of over 50% compared to the healthy control cells. Although functional TEER defects could also be explained by the reported increased levels of cytotoxicity detected in C9-ALS BMEC-like cells, we have not observed macroscopic levels of cell loss in the cultures, as indicated by the Eosin Y staining or differences in cell numbers assessed during staining. It cannot be excluded, however, that cell death might occur over the 4-day assay during which TEER was measured.
The defects we have highlighted in this study, however, cannot be solely linked to cell death. C9-ALS BMEC-like cells displayed a significant increase in the expression and function of the P-glycoprotein transporter (ABCB1), which is crucial for drug delivery. P-glycoprotein upregulation is a very common feature in many diseases, including ALS, epilepsy and cancer in in vivo models [37, 38]. It is of great relevance for the development of disease-specific drug-permeability in vitro assays that the BBB model described here recapitulates increased P-gp functionality, thus providing a unique tool for the advancement of such pharmacodynamic assays.
Another membrane protein crucial for endothelial cell function and its relationship with neurons is Glut-1, the main glucose transporter expressed in the BBB. Our data highlighted increased expression of this protein in C9-ALS BMEC-like cells, with a concomitant severe decrease in basal glycolysis and a potentially compensatory increase in mitochondrial respiration. Recently, Kim et al. reported that brain endothelial cells are preferentially glycolytic, and this is associated with the maintenance and permeability of the BBB [39]. Kim and colleagues showed an impaired endothelial barrier permeability to molecules utilizing the transcellular pathway upon glycolysis inhibition [39]. Glycolysis therefore has a vital role in BBB homeostasis, promoting vessel branching and modulating angiogenesis [40].
Interestingly, this is dissimilar to the metabolic defects reported in other models of C9ORF72 pathology, where neurons have mostly displayed defects in mitochondrial respiration [42]. Thus, while endothelial cells are preferentially glycolytic [41], motor neurons mostly use mitochondrial respiration to produce energy [42].
Our previous research on C9-ALS patient-derived astrocytes (iAstrocytes) demonstrated that C9ORF72 astrocytes affect neuronal networks through cell-to-cell contact [25], as well as through the secretion of toxic factors [27]. Consequently, we decided to explore the effect of iAstrocytes on BMEC-like cells, given the crucial role of astrocytes in BBB homeostasis.
Consistent with the toxic properties of astrocytes towards motor neurons, C9-ALS iAstrocytes caused severe impairment of the TEER properties of healthy BMEC-like cells both through contact and conditioned medium, thus indicating that secreted factors might be the culprit. In fact, C9-ALS iAstrocyte conditioned medium treatment caused an upregulation in the Glut-1 transporter in both control and C9-ALS BMEC-like cells; while it caused a decrease in Claudin-5 expression in ALS BMECs. Although C9-ALS astrocytes only induced a decrease in TEER in non-contact cultures, the lack of an increase in TEER in the contact cultures with BMECs and C9-ALS astrocytes compared to BMECs only is unexpected. In fact, the electrical resistance of combined BMECs and astrocytes should be higher than BMECs on their own, thus suggesting that C9-ALS astrocytes affect healthy BMECs in both paradigms tested. Interestingly, C9-ALS iAstrocytes only mildly increased the already existing defects in C9-ALS BMEC-like cells, indicating that these cells are affected by the presence of mutations in C9ORF72 in a cell-autonomous fashion.
Indeed, BMEC-like cells not only are intrinsically affected by the C9ORF72 mutation, but they also display highly toxic properties against healthy human motor neurons via secreted factors, similar to astrocytes. C9-ALS BMEC-like conditioned medium treatment significantly increased cell death and subsequently reduced motor neuron neurite length by more than 90% after only 3 days of exposure. As previously reported, neurotoxicity is not a property common to any cell type derived from ALS patients, in fact, fibroblasts do not display such characteristics [25].
Although genetic experiments in in vivo models of SOD1-ALS had led to the conclusion that endothelial cells played no role in disease pathogenesis [43], our data demonstrate that C9-ALS endothelial cells are intrinsically affected by the presence of the C9ORF72 mutation. These cells display hyperactivation of P-gP transporters, which can cause pharmaco-resistance; and alterations in tight junction expression together with associated membrane permeability [44]. In addition, C9-ALS BMECs also displayed a marked decrease in glycolysis alongside an increase in mitochondrial energy production, thus indicating a metabolic shift that can affect membrane permeability [45] and substrate exchange with neurons [46]. Most importantly, our data demonstrate that C9-ALS BMECs can play a significant role in non-cell autonomous motorneuronal death through secreted factors.
Materials and methods
Cell culture
Human umbilical vein endothelial cells (HUVECs)
Cells were purchased from ATCC (CRL-1730) and routinely seeded on uncoated flasks or 6-well plates. Following the manufacturer’s recommendations, Human Endothelial Serum Free Medium (hESFM, Gibco), supplemented with 10% Foetal Bovine Serum (FBS, Gibco) and 1% penicillin/streptomycin media was replaced every 24-48 h, when cells reached 70% confluence. Cells were split when they approached 85% confluence by removing the media and washing twice with HBSS with no calcium/magnesium. Then, cells were incubated with trypsin for up to 10 min at 37 °C until the cells became completely round. Afterwards, the cell suspension was collected and subsequently centrifuged for 7 min / 100 g. Finally, the cell pellet was homogenised in 1 ml of fresh media, cells were counted with an automatic haemocytometer by mixing 10 µl of cell suspension with 10 µl of trypan blue and seeded following the supplier recommendations (2.3 × 103 viable cells / cm2).
Human induced pluripotent stem cells derived brain endothelial-like cells
Brain endothelial-like cells (BMEC-like cells) were generated by culturing human induced pluripotent stem cells (hi-PSCs) in mTeSR plus media (STEMCELL Technologies) on Matrigel-coated (Corning) plates as previously described by Lippmann and Neal et al. protocols [19, 47, 48]. When hi-iPSCs reached more than 80% of confluence, they were detached by incubating the plate with accutase, for 5 min at 37 °C. Next, cells were collected and centrifuged for 4 min / 200 g and resuspended in TeSR™-E8™ media (STEMCELL Technologies). Subsequently, cells were counted with an automatic hemocytometer as described before and seeded at appropriate density (∼ 14 × 103 viable cells x cm2) in matrigel coated 6w- plates.
Day 1 of differentiation began two days after seeding, or when cells reached 60–70% confluency, by switching the media to serum-free media TeSR™-E6™ (STEMCELL Technologies), refreshing it daily for 4 days. On day 5, during the expansion phase, the media was changed to EM+ (hESFM supplemented with 10 µM Retinoic Acid (RA, Sigma), 20 ng/mL bFGF (STEMCELL Technologies), 0.5% B-27 (Gibco), and maintained for 48 h). At day 7 of differentiation, cells were subcultured. Firstly, the media was removed, and cells were washed with HBSS with no calcium/magnesium and 1 ml of accutase (STEMCELL Technologies) was added per well and incubated at 37 °C 20–45 min until a single cell suspension was formed. Then, cells were gently collected and centrifuged for 4 min/ 200 g. Optionally, cells can be stored in liquid nitrogen with 10% DMSO (Sigma). Finally, cells were reseeded or thawed in a mix of collagen IV and fibronectin pre-coated plates or cell culture inserts and maintained for one day in EM+ plus ROCK inhibitor (Tocris) at a final density of 1 million cells/ cm2. At day 8, media was switched to hESFM supplemented with 0.5% B-27 only until the end point. At day 9 BMEC-like cells are ready to be tested.
Cell lines’ relevant clinical information is described in Supplementary Table 1.
Hi-PSCs-derived motor neurons
Neural differentiation was performed using a modified version of the dual SMAD inhibition protocol [49]. Briefly, hi-PSCs in the presence of small molecules: ROCK inhibitor, SMAD inhibitors (SB431542 and DMH1) for 6 days, SB431542 (Tocris), DMH1 (Tocris), RA and Purmorphamine (Tocris) for another 6 days. At that point, all the hi-PSC lines generated more than 90% OLIG2 + Motor Neuron Progenitor Cells. Afterwards, the cells were expanded in the same media, supplemented with valproic acid (STEMCELL Technologies).
To induce MN differentiation, OLIG2 + MNPs were dissociated and cultured at a density of 1:6 in suspension in neural medium with RA and Purmorphamine. The medium was changed every other day for 6 days. Next, they were dissociated into single cells and plated on Matrigel-coated plates and cultured with RA, Purmorphamine and Compound E (γ-Secretase-IN-1, Sigma) for 10 days, after that, the media was replaced with neuronal media (neurobasal media supplemented with 1% of B27, BDNF 10ng/mL, CNTF 10ng/mL and IGF 10ng/mL). The cells were then fed on alternate days with neuronal medium until day 40 to mature into CHAT + MNs.
Cell lines relevant clinical information is described in Supplementary Table 1.
Hi-NPCs derived iAstrocytes
Fibroblasts were reprogrammed to human-induced neuronal progenitor stem cells (hi-NPCs) following the Meyer et al. 2014 protocol [25]. In brief, fibroblasts were seeded in a well of a six-well plate and treated with a mixture of retroviral vectors expressing Kruppel-like factor 4 (Klf4), POU transcription factor Oct-3/4 (Oct3/4), SRY-related HMG-Box Gene 2 (Sox2), and c-Myc for 12 h (System Biosciences). To promote neuroprogenitor cell conversion, the culture medium was switched 72 h after to a medium containing bFGF, epidermal growth factor (EGF, STEMCELL Technologies), and heparin (Sigma), and this was continued for 18 days.
To obtain iAstrocytes, hi-NPCs were seeded in 2.5 µg/ml fibronectin-coated 10 cm dishes onto Knockout DMEM-Ham’s F12 (Gibco), GlutaMAX supplement (STEMCELL Technologies); plus 10% FBS, 1.8% 100x diluted N2 (ThermoFisher) and 1% Penicillin/Streptomycin (Sigma); according to Meyer and Ferraiuolo’s protocol [25], for 7 days.
Cell lines relevant clinical information is described in Supplementary Tables 1 and 2.
BMEC-like cells and iAstrocytes conditioned media and co-culture
At day 7 of BMEC-like cell differentiation cells were subcultured and seeded on the upper part of cell trans-well inserts (0.4µM, PET, Corning) or in 96-well clear bottom black (Fisher) at a density of 1 million cells/cm2. At day 8, BMEC-like cells were co-cultured with mature iAstrocytes. If performing conditioned media experiments, iAstrocytes conditioned media was collected and fast-frozen using dry ice. For co-culture, the iAstrocytes in dishes were washed once with PBS and detached by adding accutase at 37 °C. Then, the iAstrocyte suspension was collected and centrifuged for 4 min/200 g. At that time, iAstrocytes were replated either at the bottom of the 2.5 µg/ml fibronectin-coated trans-well insert and incubated for 1 h at 37 °C (contact co-culture) or in the well below the Transwell™ insert (non- contact co-culture) at a density of 0.3 cells/cm2. Finally, conditioned media and cells were tested after 2 or 3 days.
Barrier tightness and transport
Transendothelial resistance (TEER) measurements
BMEC-like cells were seeded in fibronectin/collagen (Corning/Sigma) 0.4 μm PET trans-well inserts when subculturing, as previously described. TEER (transendothelial resistance) measurements were monitored daily after day 8 of differentiation (day 1 of subculture), with an EVOM2 stx2 electrode. Before the TEER measurements, the cell’s monolayer was visually checked, and only intact monolayers were used. Three measurements per insert were recorded at a standard time each day by placing the electrode chopsticks on the Transwell™ inserts containing the cells. One plate was recorded at a time to avoid artificially raising TEER because of having the plate a prolonged time outside the incubator as suggested by Stebbins et al. [50]. Finally, the plotted values were normalized by subtracting the blank (TEER from an empty insert) and then multiplied by the surface area (0.33 cm2) of the transwell filter and reported as Ω × cm2.
Efflux activity: P-glycoprotein transporter
Similarly, BMEC-like cells are tested on day 9 of the differentiation protocol. For this assay, cells were seeded in a 24-w plate at day 7. Later, at day 9, media was aspirated, and cells were washed with HBSS with no calcium/magnesium. Next, 3 wells per condition were incubated for 1 h at 37 °C with HBSS only and 3 wells with HBSS + 10µM Cyclosporin A (CyA, R&D Systems), a P-glycoprotein inhibitor to inhibit transport. Then, the solution was aspirated, and the cells were incubated for 1 h at 37 °C with HBSS + 10µM Rhodamine 123 (ThermoFisher), a P-glycoprotein substrate; or with HBSS + Rhodamine 123 + CyA respectively. Afterwards, BMEC-like cells were rinsed with PBS twice and fluorescence was measured at Ex 488/ Em 530 nm with a PHERAstar® high-throughput screening microplate reader.
Transcription quantification by qRT-PCR
Cells were collected and washed twice with PBS and centrifuged for 4 min / 200 g subsequently. RNA was extracted following the manufacturer’s instructions using the RNeasyPlus MiniKit (Qiagen). The RNA concentration was determined with a NanoDrop and the RNA to cDNA reverse transcription was performed following the manufacturer indications for the High-Capacity cDNA Reverse Transcription Kit (ThermoFisher). The RNA samples were standardised to 100 ng/µl. The qRT-PCR was finally completed by adding 50 ng of DNA per well in 384 well plates. The total volume per well was 10 µl, containing 50% SYBR Green, 5µM 2.5% forward Primer, 5µM 2.5% reverse Primer (Supplementary Table 3), 5% sterile ultra-pure water and 40% of cDNA. Transcripts were quantified by calculating the ratio between the expression of each transcript against the housekeeping gene and normalizing the expression to the reference control cell line, i.e., CTR hi-PSC in Fig. 1B or CTR BMEC-like cells in Fig. 2A.
Protein quantification by immunocytochemistry
Cells were washed twice with PBS and fixed either with 4% paraformaldehyde (ThermoFisher) for 20 min or 100% cold methanol for 10 min. Subsequently, the cells were incubated for 1 h at RT with a blocking solution of PBS, 5% animal serum and 0.3% Triton for non-membrane epitopes. Next, cells were rinsed 3 times with PBS. Then, they were incubated with the primary antibody at 4 °C overnight (Supplementary Table 3). The following day, cells were rinsed 3 times with PBS and incubated for 1 h at RT with the secondary antibody (Supplementary Table 3). Nuclei were stained with 1 µg/ml Hoechst 33342 for 5 min. Finally, the cells were washed 3 times with PBS and the images were normally acquired with a Nikon confocal microscope or with the Opera Phenix™ high-content screening system microscope.
Fluorescence image acquisition
Z-stack images were captured using an AX R confocal on a Ti2-E base with an LUA-S4 laser launch and a DUX-VB 4-channel GaAsP detector (Nikon Instruments). The images were captured as z-stacks in NIS-Elements AR software (Nikon Instruments) with a 0.5-µm step size in 2 K resonant mode using the 20x Plan Apochromat Lambda D objective (Nikon Instruments) and a 1AU pinhole for a final lateral resolution of 0.17 μm/pixel. For each experiment, at least a total of 5 images were acquired per condition, with a minimum of 3 technical replicates for each of the 3 biological replicates (N = 3, total images per condition = 45).
Fluorescence images analysis
NIS-Elements software (Nikon Instruments, v. 5.42) with the general analysis 3 (GA3) module was used to process and analyse images in 3D volume format. All images were pre-processed with Denoise.ai to remove confocal shot noise and facilitate segmentation. For each z-stack, an automatic threshold was calculated from the background signal intensity for each channel and was used to segment the volume that contained cells stained for the marker of interest. The total cell volume and the mean signal intensity in that volume were automatically measured, along with the mean signal intensity in the volume that did not contain cells (i.e., background intensity). The final reported mean signal intensity was corrected by subtracting the background intensity from the measured mean.
Cytotoxicity assay
To measure the cellular toxicity within the cells, a lactate dehydrogenase (LDH) assay was assessed following the manufacturer’s indications (CyQUANT™, ThermoFisher). BMEC-like cells were seeded at appropriate density in a 96-w plate at day 7 of the differentiation protocol. After 2 days, the LDH test was done, and the absorbance was measured at 490/680 nm with a PHERAstar® high-throughput screening microplate reader. To determine LDH activity, 682 nm absorbance was subtracted from the 490 nm signal. Lysed cells were considered the maximum LDH activity control and media without cells was used as a blank.
Mitochondrial kinetics test
To test the effect of cell types on each other’s function, BMEC-like cells were seeded at the desired density in a 96-w Agilent assay plate. The Agilent Seahorse XF Real-Time ATP Rate Assay evaluates key parameters of mitochondrial function by directly measuring the oxygen consumption rate (OCR) of cells on the Seahorse Analysers. It is a plate-based live cell assay that allows the monitoring of OCR in real-time. Non-mitochondrial respiration, which is the oxygen consumption that persists after the addition of rotenone and antimycin A (complex I and III electron transport chain inhibitors respectively) is used to obtain an accurate measure of true mitochondrial respiration. On the other hand, basal respiration which is being used to drive ATP production is measured upon injection of oligomycin (ATP synthase inhibitor) showing the ATP produced by the mitochondria.
Neurite length quantification
After 3 days of BMEC-like cells conditioned media treatment, motor neurons were fixed with 4% paraformaldehyde and brightfield images per were acquired with the Opera Phenix™ high-content screening system microscope. In addition, ImageJ software was used for complementary image processing and neurite length quantification [51].
Data Analysis
All statistical analyses were undertaken with GraphPad Prism software (v.10); details of the statistical analyses have been indicated in each figure legend. Immunocytochemistry images were processed with either Columbus™ Image Data Storage and Analysis system software or Nikon NIS-Elements software (v. 5.42).
Electronic supplementary material
Below is the link to the electronic supplementary material.
Acknowledgements
We thank the patients and healthy control participants who donated biosamples which supported this project. This project was funded by the 765704/European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement. The project was also supported by the NIHR Sheffield Biomedical Research Centre NIHR203321 and the Motor Neurone Disease Association AMBRoSIA 972-797. LF is also supported by the MRC (MR/W00416X/10).
Author contributions
L.F. and P.J.S. acquired the funding for the study as PIs within the EuroNeurotrophin Network, developed the original research idea and supervised the project. A.A-G. and L.F. developed the experimental design and prepared the manuscript. A.A-G. prepared the figures and performed the experiments. A.S. and S.G. cultured and prepared the iAstrocytes. J.K. and C.S. cultured and prepared the Motor Neurons. F.R. performed the mitochondrial assays. T.V. processed and assisted with acquiring and analysing the confocal images. S.B., Y.D. and K.M. reviewed and assisted in preparing the experiments. All authors reviewed the manuscript.
Data availability
The datasets used and/or analyzed are included in this manuscript and all materials are commercially available.
Declarations
Competing interests
The authors declare no competing interests.
Footnotes
The graphical abstract was created on Biorender.com
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Ana Aragón-González, Email: a.aragon@sheffield.ac.uk.
Laura Ferraiuolo, Email: l.ferraiuolo@sheffield.ac.uk.
References
- 1.Muoio V, Persson PB, Sendeski MM. The neurovascular unit - concept review. Acta Physiol (Oxf) 2014;210:790–8. doi: 10.1111/apha.12250. [DOI] [PubMed] [Google Scholar]
- 2.Villegas JC, Broadwell RD. Transcytosis of protein through the mammalian cerebral epithelium and endothelium. II. Adsorptive transcytosis of WGA-HRP and the blood-brain and brain-blood barriers. J Neurocytol. 1993;22:67–80. doi: 10.1007/BF01181571. [DOI] [PubMed] [Google Scholar]
- 3.Aragón-González A, Shaw PJ, Ferraiuolo L. Blood–brain barrier disruption and its involvement in neurodevelopmental and neurodegenerative disorders. Int J Mol Sci 23, (2022). [DOI] [PMC free article] [PubMed]
- 4.Zlokovic BV. The blood-brain barrier in health and chronic neurodegenerative disorders. Neuron. 2008;57:178–201. doi: 10.1016/j.neuron.2008.01.003. [DOI] [PubMed] [Google Scholar]
- 5.Obermeier B, Daneman R, Ransohoff RM. Development, maintenance and disruption of the blood-brain barrier. Nat Med. 2013;19:1584–96. doi: 10.1038/nm.3407. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Alvarez JI, Katayama T, Prat A. Glial influence on the blood brain barrier. Glia. 2013;61:1939–58. doi: 10.1002/glia.22575. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Benarroch E. What Are the Roles of Pericytes in the Neurovascular Unit and Its Disorders? Neurology 100, (2023). [DOI] [PMC free article] [PubMed]
- 8.Kushner PD, Stephenson DT, Wright S. Reactive astrogliosis is widespread in the subcortical white matter of amyotrophic lateral sclerosis brain. J Neuropathol Exp Neurol. 1991;50:263–77. doi: 10.1097/00005072-199105000-00008. [DOI] [PubMed] [Google Scholar]
- 9.Acosta C, Anderson HD, Anderson CM. Astrocyte dysfunction in Alzheimer disease. J Neurosci Res. 2017;95:2430–47. doi: 10.1002/jnr.24075. [DOI] [PubMed] [Google Scholar]
- 10.Molofsky AV, et al. Astrocytes and disease: a neurodevelopmental perspective. Genes Dev. 2012;26:891–907. doi: 10.1101/gad.188326.112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Petrov D, Mansfield C, Moussy A, Hermine OALS, Clinical Trials Review 20 years of failure. Are we any closer to registering a New Treatment? Front Aging Neurosci. 2017;9:68. doi: 10.3389/fnagi.2017.00068. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Abel O, Powell JF, Andersen PM, Al-Chalabi A. ALSoD: a user-friendly online bioinformatics tool for amyotrophic lateral sclerosis genetics. Hum Mutat. 2012;33:1345–51. doi: 10.1002/humu.22157. [DOI] [PubMed] [Google Scholar]
- 13.Garbuzova-Davis S, et al. Amyotrophic lateral sclerosis: a neurovascular disease. Brain Res. 2011;1398:113–25. doi: 10.1016/j.brainres.2011.04.049. [DOI] [PubMed] [Google Scholar]
- 14.Seo SW, et al. Clinical significance of microbleeds in subcortical vascular dementia. Stroke. 2007;38:1949–51. doi: 10.1161/STROKEAHA.106.477315. [DOI] [PubMed] [Google Scholar]
- 15.Brundel M, et al. High prevalence of cerebral microbleeds at 7Tesla MRI in patients with early Alzheimer’s disease. J Alzheimers Dis. 2012;31:259–63. doi: 10.3233/JAD-2012-120364. [DOI] [PubMed] [Google Scholar]
- 16.Pan Y et al. Altered Blood–Brain Barrier Dynamics in the C9orf72 Hexanucleotide Repeat Expansion Mouse Model of Amyotrophic Lateral Sclerosis. Pharmaceutics vol. 14 Preprint at 10.3390/pharmaceutics14122803 (2022). [DOI] [PMC free article] [PubMed]
- 17.Sweeney MD, Zhao Z, Montagne A, Nelson AR, Zlokovic BV. Blood-brain barrier: from physiology to Disease and back. Physiol Rev. 2019;99:21–78. doi: 10.1152/physrev.00050.2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Prell T, Vlad B, Gaur N, Stubendorff B, Grosskreutz J. Blood–brain barrier disruption is not Associated with Disease aggressiveness in amyotrophic lateral sclerosis. Front Neurosci 15, (2021). [DOI] [PMC free article] [PubMed]
- 19.Neal EH, et al. A simplified, fully defined differentiation Scheme for producing blood-brain barrier endothelial cells from human iPSCs. Stem Cell Rep. 2019;12:1380–8. doi: 10.1016/j.stemcr.2019.05.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Luissint AC, Artus C, Glacial F, Ganeshamoorthy K, Couraud PO. Tight junctions at the blood brain barrier: physiological architecture and disease-associated dysregulation. Fluids Barriers CNS. 2012;9:Preprintathttpsdoiorg1011862045–8118. doi: 10.1186/2045-8118-9-23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Srinivasan B, et al. TEER measurement techniques for in vitro barrier model systems. J Lab Autom. 2015;20:107–26. doi: 10.1177/2211068214561025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Butt AM, Jones HC, Abbott NJ. Electrical resistance across the blood-brain barrier in anaesthetized rats: a developmental study. J Physiol. 1990;429:47–62. doi: 10.1113/jphysiol.1990.sp018243. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Ferraiuolo L. The non-cell-autonomous component of ALS: New in vitro models and future challenges. Biochem Soc Trans 42, (2014). [DOI] [PubMed]
- 24.Chen H, Kankel MW, Su SC, Han SWS, Ofengeim D. Exploring the genetics and non-cell autonomous mechanisms underlying ALS/FTLD. Cell Death and Differentiation vol. 25 Preprint at 10.1038/s41418-018-0060-4 (2018). [DOI] [PMC free article] [PubMed]
- 25.Meyer K, et al. Direct conversion of patient fibroblasts demonstrates non-cell autonomous toxicity of astrocytes to motor neurons in familial and sporadic ALS. Proc Natl Acad Sci U S A. 2014;111:829–32. doi: 10.1073/pnas.1314085111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Re DB et al. Necroptosis drives motor neuron death in models of both sporadic and familial ALS. Neuron 81, (2014). [DOI] [PMC free article] [PubMed]
- 27.Varcianna A et al. Micro-RNAs secreted through astrocyte-derived extracellular vesicles cause neuronal network degeneration in C9orf72 ALS. EBioMedicine 40, (2019). [DOI] [PMC free article] [PubMed]
- 28.Hussain B, Fang C, Chang J. Blood–Brain Barrier Breakdown: An Emerging Biomarker of Cognitive Impairment in Normal Aging and Dementia. Frontiers in Neuroscience vol. 15 Preprint at 10.3389/fnins.2021.688090 (2021). [DOI] [PMC free article] [PubMed]
- 29.Kakaroubas N, Brennan S, Keon M, Saksena NK. Pathomechanisms of Blood-Brain Barrier Disruption in ALS. Neurosci J 2019, 2537698 (2019). [DOI] [PMC free article] [PubMed]
- 30.Giannotta M, Trani M, Dejana E. VE-cadherin and endothelial adherens junctions: Active guardians of vascular integrity. Developmental Cell vol. 26 Preprint at 10.1016/j.devcel.2013.08.020 (2013). [DOI] [PubMed]
- 31.Li W, Chen Z, Chin I, Chen Z, Dai H. The role of VE-cadherin in blood-brain Barrier Integrity under Central Nervous System pathological conditions. Curr Neuropharmacol 16, (2018). [DOI] [PMC free article] [PubMed]
- 32.Tietz S et al. Lack of junctional adhesion molecule (JAM)-B ameliorates experimental autoimmune encephalomyelitis. Brain Behav Immun 73, (2018). [DOI] [PubMed]
- 33.Fanning AS, Jameson BJ, Jesaitis LA, Anderson JM. The tight junction protein ZO-1 establishes a link between the transmembrane protein occludin and the actin cytoskeleton. J Biol Chem 273, (1998). [DOI] [PubMed]
- 34.Taylor RC et al. Changes in translational efficiency is a dominant regulatory mechanism in the environmental response of bacteria. Integr Biology (United Kingd) 5, (2013). [DOI] [PMC free article] [PubMed]
- 35.Lehmkuhl EM, Zarnescu DC. Lost in translation: evidence for protein synthesis deficits in ALS/FTD and related neurodegenerative diseases. in Adv Neurobiol 20 (2018). [DOI] [PMC free article] [PubMed]
- 36.Günzel D, Yu ASL. Claudins and the modulation of tight junction permeability. Physiol Rev 93, (2013). [DOI] [PMC free article] [PubMed]
- 37.Van Vliet EA, et al. Expression and Cellular distribution of P-Glycoprotein and breast Cancer resistance protein in amyotrophic lateral sclerosis patients. J Neuropathol Exp Neurol. 2020;79:266–76. doi: 10.1093/jnen/nlz142. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Ahmed Juvale II, Hamid A, Abd Halim AA. K. B. & Che Has, A. T. P-glycoprotein: new insights into structure, physiological function, regulation and alterations in disease. Heliyon vol. 8 Preprint at 10.1016/j.heliyon.2022.e09777 (2022). [DOI] [PMC free article] [PubMed]
- 39.Kim ES et al. Brain endothelial cells utilize glycolysis for the maintenance of the Transcellular permeability. Mol Neurobiol 59, (2022). [DOI] [PubMed]
- 40.De Bock K et al. Role of PFKFB3-driven glycolysis in vessel sprouting. Cell 154, (2013). [DOI] [PubMed]
- 41.Leung SWS, Shi Y. The glycolytic process in endothelial cells and its implications. Acta Pharmacologica Sinica vol. 43 Preprint at 10.1038/s41401-021-00647-y (2022). [DOI] [PMC free article] [PubMed]
- 42.Turner DA, Adamson DC. Neuronal-astrocyte metabolic interactions: Understanding the transition into abnormal astrocytoma metabolism. Journal of Neuropathology and Experimental Neurology vol. 70 Preprint at 10.1097/NEN.0b013e31820e1152 (2011). [DOI] [PMC free article] [PubMed]
- 43.Garbuzova-Davis S, et al. Ultrastructure of blood-brain barrier and blood-spinal cord barrier in SOD1 mice modeling ALS. Brain Res. 2007;1157:126–37. doi: 10.1016/j.brainres.2007.04.044. [DOI] [PubMed] [Google Scholar]
- 44.Mohamed LA, Markandaiah S, Bonanno S, Pasinelli P, Trotti D. Blood–Brain Barrier Driven Pharmacoresistance in Amyotrophic Lateral Sclerosis and Challenges for Effective Drug Therapies. AAPS Journal vol. 19 1600–1614 Preprint at 10.1208/s12248-017-0120-6 (2017). [DOI] [PMC free article] [PubMed]
- 45.Fitzgerald G, Soro-Arnaiz I, De Bock K. The Warburg effect in endothelial cells and its potential as an anti-angiogenic target in cancer. Frontiers in Cell and Developmental Biology vol. 6 Preprint at 10.3389/fcell.2018.00100 (2018). [DOI] [PMC free article] [PubMed]
- 46.Bell SM et al. Peripheral glycolysis in neurodegenerative diseases. International Journal of Molecular Sciences vol. 21 Preprint at 10.3390/ijms21238924 (2020). [DOI] [PMC free article] [PubMed]
- 47.Lippmann ES, et al. Derivation of blood-brain barrier endothelial cells from human pluripotent stem cells. Nat Biotechnol. 2012;30:783–91. doi: 10.1038/nbt.2247. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Lippmann ES, Al-Ahmad A, Azarin SM, Palecek SP, Shusta E. V. A retinoic acid-enhanced, multicellular human blood-brain barrier model derived from stem cell sources. Sci Rep. 2014;4:4160. doi: 10.1038/srep04160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Du Z-W, et al. Generation and expansion of highly pure motor neuron progenitors from human pluripotent stem cells. Nat Commun. 2015;6:6626. doi: 10.1038/ncomms7626. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Stebbins MJ, et al. Differentiation and characterization of human pluripotent stem cell-derived brain microvascular endothelial cells. Methods. 2016;101:93–102. doi: 10.1016/j.ymeth.2015.10.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Schneider CA, Rasband WS, Eliceiri K. W. NIH image to ImageJ: 25 years of image analysis. Nat Methods. 2012;9:671–5. doi: 10.1038/nmeth.2089. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets used and/or analyzed are included in this manuscript and all materials are commercially available.