Abstract
Human blood brain barrier (BBB) models derived from induced pluripotent stem cells (iPSCs) have become an important tool for the discovery and preclinical evaluation of central nervous system (CNS) targeting cell and gene-based therapies. Chimeric antigen receptor (CAR)-T cell therapy is a revolutionary form of gene-modified cell-based immunotherapy with potential for targeting solid tumors, such as glioblastomas. Crossing the BBB is an important step in the systemic application of CAR-T therapy for the treatment of glioblastomas and other CNS malignancies. In addition, even CAR-T therapies targeting non-CNS antigens, such as the well-known CD19-CAR-T therapies, are known to trigger CNS side-effects including brain swelling due to BBB disruption. In this study, we used iPSC-derived brain endothelial-like cell (iBEC) transwell co-culture model to assess BBB extravasation of CAR-T based immunotherapies targeting U87MG human glioblastoma (GBM) cells overexpressing the tumor-specific mutated protein EGFRvIII (U87vIII). Two types of anti-EGFRvIII targeting CAR-T cells, with varying tonic signaling profiles (CAR-F263 and CAR-F269), and control Mock T cells were applied on the luminal side of BBB model in vitro. CAR-F263 and CAR-F269 T cells triggered a decrease in transendothelial electrical resistance (TEER) and an increase in BBB permeability. CAR-T cell extravasation and U87vIII cytotoxicity were assessed from the abluminal compartment using flow cytometry and Incucyte real-time viability imaging, respectively. A significant decrease in U87vIII cell viability was observed over 48 h, with the most robust cytotoxicity response observed for the constitutively activated CAR-F263. CAR-F269 T cells showed a similar cytotoxic profile but were approximately four fold less efficient at killing the U87vIII cells compared to CAR-F263, despite similar transmigration rates. Visualization of CAR-T cell extravasation across the BBB was further confirmed using BBTB-on-CHIP models. The described BBB assay was able to discriminate the cytotoxic efficacies of different EGFRvIII-CARs and provide a measure of potential alterations to BBB integrity. Collectively, we illustrate how BBB models in vitro can be a valuable tool in deciphering the mechanisms of CAR-T–induced BBB disruption, accompanying toxicity and effector function on post-barrier target cells.
Supplementary Information
The online version contains supplementary material available at 10.1186/s12987-022-00342-y.
Introduction
The recent success of chimeric antigen receptor (CAR)-T cell based immunotherapies for hematological malignancies has prompted interest in exploiting this cell based therapy for central nervous system (CNS) solid tumors [1]. CAR-T cells are T cells which are genetically engineered with an artificial receptor to target tumor specific-associated antigens, composed minimally of an antigen binding domain, a transmembrane domain, and one or more intracellular signaling domains. Most commonly, CAR-T cells are administered in autologous format, wherein T cells are collected from patients’ peripheral blood, expanded in vitro and genetically engineered to express CAR constructs. These modified CAR-T cells are then re-administered to the patient, where they target and lyse cells that carry the relevant tumor antigens [2].
Glioblastoma multiforme (GBM) is a highly aggressive and malignant brain cancer accounting for over 30% of primary CNS tumors with mean survival rates of 16–20 months [3, 4]. Due to the poor prognosis of patients treated with conventional therapies for GBM, attention has recently shifted to other emerging treatments, such as CAR-T based immunotherapies [1, 5–10]. The CNS, however, is an immune‐specialized organ presenting unique and specific challenges to the application of immunotherapy [6]. In contrast to blood cancers, the efficacy of immunotherapy for CNS tumors relies specifically upon the ability of the therapeutic immune cells to cross the blood brain barrier (BBB) to induce an anti-tumor response in the brain [6]. The BBB, formed by highly specialized brain endothelial cells, restricts the entry of substances larger than 600 Da [11] and naïve immune cells from the peripheral blood into the brain parenchyma. Under physiological conditions, immune cell trafficking into the CNS is tightly regulated by the BBB which selectively only allows entry of immune cell subsets required for immune surveillance [12]. The presence of neuroinflammatory conditions, which result in endothelial activation and upregulation of leukocyte adhesion molecules (such as ICAM and VCAM), facilitate naïve immune cells recruitment and trafficking across the BBB through a multistep cascade [13].
Another challenge that has impeded the development of CAR-T therapies for GBM is the limited availability of targetable tumor-specific antigens, which do not confer any risk of toxicity toward normal tissues. The mutant epidermal growth factor receptor variant III (EGFRvIII), is the most commonly observed EGFR variant in GBMs (30% of all GBMs), which is not expressed in healthy tissues, making it an ideal tumor specific antigen [14–16]. EGFRvIII arises from the deletion of exon 2–7 that leads to the generation of a novel glycine residue at the junction of exon 1 and 8 that creates a tumor-specific oncogenic and immunogenic moiety [14]. As a result, EGFRvIII targeting is of great therapeutic potential for antibody- and cell-based therapies. However, early phase clinical trials using systemically administered autologous EGFRvIII-CAR-T cells in patients with GBM have been met with limited success. Despite evidence of CAR-T cell trafficking into the brain parenchyma and infiltration at the tumor site with evidence of antigen decrease [17], clinical efficacy of EGFRvIII-CAR-T for GBM remains limited due low CAR-T life span, expansion and persistence as well as antigen loss, heterogeneity and adaptive changes in the tumor microenvironment [17–19]. There are currently several ongoing EGFRvIII-CAR-T clinical trials including combination therapies (reviewed in [20]).
To add to the complexity, CAR-T based therapies have also been shown to cause severe neurotoxicity. A subset of the patients undergoing CD19 CAR-T clinical trials for hematological malignancies, developed cytokine release syndrome (CRS) or immune effector cell-associated neurotoxicity syndrome (ICANS) [21–24]. The mechanisms of CAR-T induced neurotoxicity are not well understood, nor can they be reliably predicted. However, there is emerging evidence that the high levels of systemic inflammatory cytokines (IL6, TNFγ and TNFβ) lead to endothelial cell activation and BBB disruption resulting in increased BBB-permeability and peripheral cytokine and immune cell infiltration into the CNS [21–27]. This subsequently initiates a feedback loop of continued endothelial activation perpetuating neurotoxicity events. Some data has suggested that CD19 expression in the brain might also drive neurotoxicity [28], but recent observation of ICANS in a prostate-specific membrane antigen (PSMA)-targeted CAR-T clinical trial may be suggestive that neurotoxicity is antigen-independent [29]. This has highlighted the importance of optimization of CAR constructs, as well as the need for early preclinical modeling of BBB disruption and neurotoxicity, for systemically administered CAR-T therapies [30]. Since crossing the BBB is an important step to the success of systemic applications of CNS targeting CAR-T based therapies, we sought to evaluate the BBB extravasation, disruption and cytotoxic effector function post-BBB of two EGFRvIII-targeting CAR-T candidates in an iPSC-derived BBB model.
Methods
U87vIII cell culture
U87MG cells expressing EGFRvIII (U87vIII) via retroviral transduction and sorting were kindly provided by Professor Cavnee, from the Ludwig Institute for Cancer Research, University of California, San Diego (San Diego, CA, USA) [31, 32]. To more easily visualize target U87vIII cells in cytotoxicity assays, stable lines expressing nuclear-localized mKate2 (U87vIII-mKate2) were generated using commercially obtained lentivirus (Lenti Nuclight-Red, Incucyte, Sartorius). U87vIII and U87vIII-mKate2 cells were cultured in poly-L-lysine coated T-75 flasks containing Dulbecco’s modified Eagle’s (DMEM) medium supplemented with 10% (vol/vol) heat-inactivated fetal bovine serum (FBS) (Hyclone), 50 U/ml penicillin, 50 U/ml streptomycin, 2 mM L-glutamine, and 0.2 mg/ml G-418 (all from Life Technologies) at 37 °C with 5% CO2. Complete media was changed every 3 day.
CAR-T transduction
Primary human T cells were isolated from whole blood obtained from healthy human volunteers under informed consent and approval through the National Research Council of Canada Research Ethics Board. In brief, T cells were isolated from peripheral blood mononuclear cells (PBMCs) freshly isolated from healthy blood donors via negative magnetic selection. The T cells were activated with MACS GMP TransAct CD3/CD28 beads (Miltenyi) cultured in ImmunoCult XF media (Stem Cell Technologies) supplemented with 20 U/ml IL-2 (Proleukin, Novartis). Activated T cells were typically transduced with CAR-GFP lentiviral vector (F263-28z and F269-28z, as described in [33]), 24 h post-stimulation and expanded in IL2-supplemented expansion media (20 IU/ml) with strict maintenance of cell concentrations below 5 × 105 cells/ml. All cell counting was performed using an automated cell counter (Cellometer; Nexcelcom) to assess live/dead counts using acridine orange/propidium iodide (PI) staining. Efficiency of transduction was assessed at day 7 by flow cytometry and at day 10 the CAR-F263 and CAR-F269 T cells were used for assays. Mock T cells underwent the same treatment as CAR-transduced T cells but without virus infection. Cell acquisition was performed using a BD- Fortessa (BD Biosciences). Post-acquisition analysis was performed using FlowJo software.
Differentiation of iPSCs into brain endothelial-like cells (iBECs)
All experimental protocols using human amniotic fluid derived induced pluripotent stem cells (AF-iPSCs) were performed following the guidelines established and approved by the National Research Council Canada Research Ethics Board and the in accordance with relevant guidelines and regulations as approved by the Ottawa Hospital Research Ethics Board. AF-iPSC were generated from human amniotic fluid (AF) cells and differentiated into iBECs, as previously described [34, 35]. In brief, AF-iPSC were seeded at a density 8 × 103 cells/cm2 in DMEM/F12 medium (Life Technologies) supplemented with 20% KnockOut Serum Replacement, 1 × Glutamax, 1 × Non-Essential Amino Acids, and 0.1 mM β-mercaptoethanol (all from Life Technologies) for 6 days. The medium was changed to EM medium (human Endothelial Serum-Free medium, Life Technologies) supplemented with 20 ng/ml basic fibroblast growth factor (bFGF, Life Technologies), 10 μM retinoic acid (RA, Sigma) and 1% fetal bovine serum (FBS, Hyclone) for an additional 2 days. To establish the in vitro transwell BBB model, iBECs were dissociated with Accutase (Stem Cell Technologies) and seeded at density of 2.5 × 105 cells per 24 well transwell insert (3 µm pore size, 0.33 cm2 surface area; BD Falcon) pre-coated with collagen type-IV (80 µg/ml, Sigma) and fibronectin (20 µg/ml, Sigma) in complete EM medium with 10 µM Y27362 (ROCK Inhibitor, Stem Cell Technologies), as previously described [34]. iBECs transwells were incubated overnight at 37 °C in 5% CO2 and the next day the medium was changed to EM medium without bFGF and RA for an additional 24 h in the luminal chamber.
Trans-endothelial electrical resistance (TEER) measurements
After 2 days post-seeding on the transwell inserts, transendothelial electrical resistance (TEER) was assessed prior to performing BBB extravasation, sodium fluorescein (NaFl) permeability and U87vIII pre-conditioning assays. A CellZscope apparatus (NanoAnalytics) was used to conduct the TEER measurement. The values are normalized by subtracting the background (TEER of the empty inserts) and reported in Ω·cm2, as previous described [35].
BBB extravasation and cytotoxicity assay
A day prior to the BBB extravasation assays, 5 × 104 U87vIII-mKate2 cells were plated onto a poly-L-lysine coated 24-well companion plates (BD Falcon). Approximately 24 h post-plating, the 24-well transwell iBECs inserts were pre-incubated with U87vIII-mKate2 cells in EM media for 2 h prior to the addition of the CAR-T/T cells into the luminal chamber. Following iBEC-U87vIII-mKate2 cell preconditioning, 250 µl of EM medium was removed from the luminal side of the inserts and 250 µl containing 2.5 × 105 Mock, CAR-F263 or CAR-F269 T cells in EM medium were added to the inserts and placed into the Incucyte S3 Live Cell Analysis System (Sartorius). Continuous live-cell imaging was used to assess U87vIII-mKate 2 cytotoxicity in the abluminal chamber over 48 h post addition of the CAR-T/T cells. After proper image calibration, the Incucyte software package allows phase and red object counts and area assessments, enabling determination of U87vIII-mKate2 positive target cell confluency in the visual field as a functional measure of CAR-T/T cell mediated cytotoxicity post-BBB extravasation. Images in the abluminal companion plate were acquired every 2 h using phase contrast as well as red (ex., 565–605 nm; em., 625–705 nm) fluorescent channels for up to 48 h. Sixteen images were taken from each well and the confluency percentage data and red objectives count were recorded at the same time. The value reported, per treatment condition, was the mean of 16 images per well.
Flow cytometry
Flow cytometry was used to quantify the number of CAR-T/T cell extravasation across the BBB at 3, 6 and 24 h time points. At each time point, 100 µl of EM medium was removed from the bottom chamber of the companion plate for analysis. Following each collection, 100 µl pre-warmed EM medium were added back to the wells. The CAR-T/T cells were incubated with anti-CD45 (BD Biosciences) and anti-CD25 (BD Biosciences) diluted in staining solution (1:1 mixture of Brilliant Stain Buffer Plus (BD Biosciences) and PBS with 1% FBS, 10 mM HEPES, and 2 mM EDTA) for 30 min at room temperature, centrifuged, re-suspended in fixation solution (1% formaldehyde in PBS) and immediately analyzed using the BD Fortessa flow cytometer. Forward- and side-scatter and CD45 positive signal, based on unstained controls, were used to gate on T cells, respectively. Forward-scatter height vs. forward-scatter area was used to gate on single cells. Analysis was performed using FlowJo software.
BBB permeability assays
To evaluate whether CAR-T/T cells had an effect on the permeability of the iBEC monolayer, NaFl permeability (Pe) (luminal to abluminal) was performed after 24 h. Briefly, the iBEC transwell inserts were washed with 1 ml 1 × Hank’s buffered saline solution (HBSS) (Wisent) to remove residual T cells and medium. The inserts were then placed into plates with 1 ml of transport buffer (5 mM MgCl2 and 10 mM HEPES in HBSS, pH 7.4) and incubated at 37 °C for 10 min and then 250 µl of the transport buffer was removed from the luminal chamber of each insert and replaced with 250 µl of NaFl (50 µg/ml) in transport buffer. The plates were then incubated at 37 °C with gentle rotation (20 rpm/min) and 100 µl of transport buffer was collected from the bottom of the wells at 15, 30, 45 and 60 min intervals for permeability analysis; 100 µl transport buffer were added back to the wells and the plates were returned to the incubator. Inserts without iBEC were used for the background controls. The quantitation of NaFl was performed using a fluorescent plate reader (ex., 485 nm and em., 530 nm) and plotted against a standard curve (0–50 ng NaFl solution in transport buffer), as previous described [35].
iBEC activation assay
iBECs were seeded at density of 1 × 106 cells/cm2 on a 24 well plate that were pre-coated with collagen type-IV (80 µg/ml, Sigma) and fibronectin (20 µg/mL, Sigma) in complete EM medium with 10 µM Y27362 (ROCK Inhibitor, Stem Cell Technologies). iBECs were stimulated with 300 ng/ml of recombinant human TNF-α (R&D Systems) and 200 IU/ml recombinant human IFN-γ (R&D systems) for 24 h. For GBM co-culture experiments, 5 × 104 U87vIII cells were plated on a 24-well plate and 2.5 × 105 iBECs were seeded on 24 well transwell inserts and co-cultured for 12–24 h. Stimulated (GBM co-culture vs cytokine) and non-stimulated control cells were gently detached with Accutase (Stem Cell Technologies) and washed with 1% bovine serum albumin (BSA, Sigma)/ PBS (Wisent Bioproducts). Cells were blocked with anti-CD16/CD32 monoclonal antibody (1:100, Thermo Fisher Scientific) for 10 min. Cells were stained with conjugated antibodies (Additional file 4: Table S1) for 30 min at room temperature and then washed with 1% BSA/PBS. Cells were acquired with the BD Accuri C6 Plus flow cytometer (BD Biosciences). Forward- and side-scatter on unstained control were used to gate on cells, respectively. Forward-scatter height vs. forward-scatter area was used to gate on single cells. Analysis was performed using FlowJo software.
SynVivo BBB-on-CHIP (SynBBB)
The SynBBB device is comprised of a 200 µm wide outer channel separated by a central chamber of 500 µm width in communication across utilizing microfabricated pores of 3 μm similar in size to the transwell membranes. All the chambers are 100 μm height. All channels were first coated with collagen/fibronectin solution with a concentration of 200 µg/ml fibronectin (Sigma Aldrich) and 800 µg/ml collagen type-IV (Sigma Aldrich) at room temperature. The chip was primed for 20 min using a pneumatic primer (SynVivo) purging nitrogen gas at 7 psi and placed in the incubator at 37 °C for at least 1 h until use. Before seeding the chips with iBECs, all the channels were flushed with EM medium.
iBECs were seeded in EM medium with 10 µM Y27362 (ROCK Inhibitor, Stem Cell Technologies) into the endothelial channel at a concentration of 2.5 × 107 cells/ml via Tygon tubing. As the cell suspension was infused through the channels, optical microscopy was used to visualize cell distribution. Once the iBECs fully occupied the central channel, the chip was placed in the incubator overnight to allow the cells to settle and attach to the bottom surface. After the iBECs fully attached to the bottom surface, the channel was connected to a 1 ml syringe containing complete EM medium and a programmable syringe pump (PHD Ultra, Harvard Apparatus) was used to push media through the channel, removing unattached cells while changing media. The media flow rate was ramped from 0.01 µl/min to 1 µl/min over the next 24 h to exercise the cells to physiologically relevant shear stress. Thereafter, media flow rate was maintained at 1 µl/min until the iBECs form a 3D lumen structure.
On day 2, U87vIII were seeded to the side channels at 1 × 106 cells/ml, media was changed every 12 h at 0.5 µl/min for 10 min. On day 3, iBECs were confluent and formed a 3D barrier lumens. Prior to infusing the CAR-F263 cells, barrier integrity was assessed by perfusing NaFl (25 µg/ml) through the endothelial channel at 0.2 µl/min. The fluorescent images were acquired after 15 min perfusion (before and after CAR-T extravasation assay) to determine the ratio of fluorescence in the tissue vs. endothelial channel. The images were analyzed using ImageJ rectangle selection tool to select an area (> 200 µm × 200 µm) within the channel. Measurement parameter was set to analyze the mean gray value of the area and repeated measurements were performed on six random regions within each channel to obtain average intensity values. The intensity ratio between the tissue and endothelial channel were calculated and ratio values below 0.2 were used as a quality control cut-off value to indicated intact barrier formation. Once the iBEC barrier was formed, CAR-F263 cells were labeled with 0.33 µM Incucyte® Cytolight Rapid Green Dye (Sartorius) for 30 min and infused 0.5 µl/min for 10 min for CAR-F263 T cell accumulation followed by 0.1 µl/min for 24 h for constant flow condition. Phase contrast images and fluorescent images (red channel, ex., 565–605 nm; em., 625–705 nm) were acquired every 30 s and the movies were played at 4 frames per second.
RNASeq analysis
Total RNA was extracted from cell pellets using NucleoSpin RNA plus kit (Macherey–Nagel GmbH & Co. KG) according to manufacturer’s instructions. Genomic DNA contamination was removed by Turbo DNA-Free Kit (Life Technologies). RNA quality was assessed using Agilent Bioanalyzer 2100. RNASeq Libraries were generated using the TruSeq strand RNA kit (Illumina). The libraries were quantified by Qbit and qPCR according to the Illumina Sequencing Library qPCR Quantification Guide and the quality of the libraries was evaluated on Agilent Bioanalyzer 2100 using the Agilent DNA-100 chip. The RNASeq library sequencing was performed using Illumina Next-Seq500. STAR (v2.5.3a) [36] was used for alignment of the reads to the reference genome and to generate gene-level read counts. Human (Homo sapiens) reference genome (version GRCh38.p13) [37] and corresponding annotation were obtained from Gencode (https://www.gencodegenes.org/human/release_33.html) and used as reference for RNASeq data alignment process. DESeq2 [38] was used for data normalization. The expression value of each gene was expressed, as average read counts, of three replicates.
Results
Endothelial cell activation in iBECs
In this study, we used the well-established human iPSC-derived brain endothelial-like cell (iBEC) transwell model (previously described in [35]) to assess endothelial cell activation and CAR-T cell extravasation. Under physiological conditions, iBECs express low levels of immune cell adhesion genes, as assessed by RNASeq analysis, with the exception of ICAM-1 which shows robust basal expression (Fig. 1a). Retinoic acid (RA) treatment, during iBEC differentiation, induced expression of immune cell adhesion as well as BBB-related genes (Fig. 1a), as previously described [39]. Stimulation with a combination of pro-inflammatory cytokines (100 ng TNFα, 200 IU/ml INFγ and 200 ng/ml TNFα as well as 300 ng/ml of TNFα alone), induced the expression of VCAM-1, ICAM-1 and CD99; however, no significant upregulation for ICAM-2 or P- and S-selectins was observed (Fig. 1b, top panel; Additional file 1: Figure S1). This immune phenotype is consistent with previous reports for other human iPSC-derived iBECs [40–42]. When iBECs were co-cultured with human glioblastoma (GBM) overexpressing EGFRvIII (U87vIII) cells (Fig. 1c), a similar immune adhesion marker profile to cytokine stimulated iBECs was observed (Fig. 1b, bottom panel). In addition to inducing iBEC activation (Fig. 1b), U87vIII co-cultures also led to a significant decrease in TEER and changes in sodium fluorescein (NaFl) permeability (Fig. 1d). These findings align with previous reports of decreased TEER following exposure to immune cytokines and with clinical evidence of the disruption of BBB integrity in GBM tumors [43, 44]. Of note, as TEER values are influenced by the insert surface area and pore size [45], we routinely observe lower TEER values using 24 well inserts with 3 µm pore size (~ 150 Ω cm2) vs 12 well inserts with 1 µm pores (~ 300–500 Ω cm2)[35]. Since endothelial ICAM-1 and VCAM-1 expression preferentially promotes leukocyte adhesion and facilitates early steps in leukocyte extravasation across brain endothelial cells [46–48], we next used this model to assess CAR-T cell extravasation and post-BBB cytotoxicity on U87vIII cells in a blood–brain-tumor barrier (BBTB) transwell model.
CAR-T extravasation across the BBB
To assess CAR-T cell extravasation across the iBEC monolayers, anti-EGFRvIII CAR-T cells with two different single-chain variable fragments were used in this study: CAR-F263 and CAR-F269 (Fig. 2a), as previously described [33]. While both EGFRvIII-CAR-T molecules show strong on-target activity against EGFRvIII, CAR-F263 cells show a higher basal activation state (tonic signaling)[33]. As control cells, we also used unmodified Mock T cells handled in a mock transduction protocol in the absence of lentiviral vector (no CAR). To ensure that there was no off-target effects on the iBECs, the CAR-T and Mock T cells were first co-cultured with the iBECs for 24 h and no iBEC cell death was observed (Additional file 2: Figure S2). CAR-F263, CAR-F269 and Mock T cells were subsequently added to the luminal (top) compartment of the iBEC transwells (Fig. 2b) either in the presence or absence of U87vIII cells in the abluminal (bottom) compartment of the model. The CAR-T cells remained viable during the course of the experiment and adhered and interacted with the iBEC monolayer in the insert (Fig. 2b, phase contrast image). Barrier integrity was assessed, after 24 h co-culture, using NaFl permeability assay. In the presence of U87vIII cells, we observed an increase in permeability for Mock as well as CAR-F263 and CAR-F269 T cells (Fig. 2c, left). As this represents an additive effect on BBB disruption (U87vIII and CAR-T/T cells), we also examined permeability in the absence of U87vIII cells to discriminate CAR-specific disruption of the BBB. Compared to Mock T cells and iBECs alone, CAR- F263 and CAR-F269 significantly increased BBB permeability (Fig. 2c, right).
We subsequently quantified CAR-T cell extravasation after 24 h, in the presence of U87vIII cells in the abluminal chamber, by flow cytometry analysis based on CD45 expression. Approximately 5–10% of the input 2.5 × 105 cells were detected in the bottom chamber, with higher amounts of the constitutively active CAR-F263 (23 106 ± 4 788; 9%) compared to CAR-F269 (11 150 ± 2 758; 4.5%) and Mock T cells (14 422 ± 6 076; 5.7%) (Fig. 2d). We further assessed T cell activation by examining CD25 expression, as a percentage of CAR (GFP+) expressing T cells (or total T cells for mock), in the luminal and abluminal compartments (Fig. 2e). The tonic signaling CAR-F263 showed higher activation compared to CAR-F269 in the abluminal chamber, with both CAR-F263 and CAR-F269 activation being significantly higher than Mock T cells. Interestingly, activation profiles in the luminal compartment were similar for both CAR-F263 and CAR-F269 and higher compared to Mock T cells. This activation state of both CAR-F263 and CAR-F269 may be due to interaction with iBEC cells and could explain the observed disruption in the BBB integrity. Overall, these data indicate that tonic signaling CAR-T cells show elevated BBB extravasation in this model.
CAR-T mediated cytotoxicity of U87vIII cells
To examine the CAR-T cell effector functions within the abluminal chamber, we used automated live cell imaging of co-cultures of U87vIII cells stably expressing nuclear-localizes mKate2 (U87vIII-mKate2, red) in the companion plates (Fig. 3a). A significant decrease in U87vIII cell viability was observed, over the 48 h time course, with a faster and more robust U87vIII killing response observed for CAR-F263 (Fig. 3a, c). CAR-F269 and Mock T cells showed a similar killing profile but approximately four fold less efficient at eliminating the U87vIII cells than CAR-F263. These response profiles support observations described in Blomberg et al.[33], wherein CAR-F263 showed a faster and more robust U87vIII killing compared to CAR-F269 and Mock T cells. This fast and robust killing activity of CAR-F263 is consistent with the auto- and non-specific activation characteristics reported for CAR-F263 [33]. A similar effector function trend, but with an earlier onset of U87vIII killing activity, was observed when adding the CAR-T/T cells to empty (no iBEC) inserts (Fig. 3b, d). The cytotoxicity kinetics are proportional to the number of CAR-T/T cells detected in the abluminal chamber over time (Fig. 3e–g). Taken together, these results suggest that the presence of the iBECs may delay the crossing of the CAR-T/T cells to the abluminal compartment (Fig. 3e), reflecting the earlier onset of U87vIII killing in the empty insert conditions (Fig. 3a vs Fig. 3b). Real-time images, acquired using Incucyte, of U87vIII cytotoxicity in the companion plates is shown in Additional file 3: Movie S1.
Visualization of CAR-T extravasation
Immune cell trafficking across the BBB is a multistep process regulated by the sequential interaction between endothelial and immune cells which is influenced by shear stress [49–51]—a key parameter lacking in conventional transwell BBTB models. Shear stress has been shown to further induce higher TEER, upregulate tight junction proteins and BBB transporters, as well as increase expression of cell adhesion molecules [49–55]. To better visualize immune cell trafficking across the BBB, we used the SynBBB microfluidic chips [56–58] to establish a 3D microfluidic based BBTB model [59, 60]. The SynBBB chips are composed of parallel vascular and tissue channels (200:500:200 µm configuration) separated by 3 µm microfabricated pores (Fig. 4a). We seeded iBEC into the center channel of the SynBBB chip with U87vIII co-cultures seeded in the adjacent channels (Fig. 4b). The iBECs formed perfusable hollow 3D lumens within the inner channel and expressed key tight junction proteins OCCLUDIN, CLAUDIN 5, ZO-1 as well as GLUT1 (Fig. 4c). For these experiments, we focused on the more tonically active CAR-F263 cells. Thus, we perfused CAR-F263 cells using flow conditions and then recorded real-time movies to examine immune cell adhesion and transmigration into the adjacent U87vIII channels (Fig. 4b, Additional file 3: Movie S2). We were able to visualize clear examples of the arrest and formation of adhesive interactions between CAR-F263/T cells and iBECs (Additional file 3: Movie S3a and 4) as well as transendothelial migration through the channel pores (Fig. 5a–d, Additional file 3: Movie S3a–b). We observed changes in T cell morphology, toward a pro-migratory phenotype, within the pores of the microfluidic device (Fig. 5b, Additional file 3: Movie S3a, b) and identified CAR-F263 cells in the adjacent U87vIII channel (Fig. 5c, d). Robust CAR-F263 mediated cytotoxicity of U87vIII was observed in the adjacent channels over the 48 h culture period, recapitulating the killing profile and kinetics observed in the transwell assays (Fig. 5e, Fig. 3a). In order to assess BBB integrity, we perfused the iBEC lumen channel with NaFl before (Fig. 5f, top) and after perfusion with CAR-F263 cells (Fig. 5f, bottom) and observed an increase in NaFl permeability after 24 h perfusion of CAR-F263 cells (Fig. 5g). These findings are in agreement with the observations in the transwell cultures (Fig. 2c) substantiating how examining alterations in BBB permeability can be a predictor of iBEC off-target toxicity or auto-activation profiles of certain CAR-T cells.
Discussion
Systemic administration of GBM-targeting CAR-T immunotherapies are faced with unique challenges. Their access to the brain tumor is impeded by the BBB and BBTB. Furthermore, undesired crossing of B-cell targeted CAR-T cells into the brain is a driver of ICANS [6], which may also be present in systemically-administered CAR-Ts for solid tumors. Therefore, in vitro models to study the interaction of CAR-T cells with the BBB are critically needed. In this study, we leveraged human iPSC-derived brain endothelial like cells (iBECs) transwell and microfluidic BBB-on-CHIP (SynBBB) models to assess EGFRvIII-targeted CAR-T extravasation across the BBB, to validate post-BBB effector function on target cancer cells (U87vIII) and to assess accompanying neurotoxicity related to the disruption of the BBB.
iPSC-derived iBECs have been an important model for advancing human BBB permeability and drug delivery studies (ranging from small molecules to biologics), for elucidating BBB dysfunction in neurological disorders and for understanding brain susceptibility to neurotropic viruses (reviewed in [61]). Based on an extensive transcriptomic analyses [62], the iBECs phenotype has been described recently as more epithelial-like. Nevertheless, in vitro models using these cells typically exhibit strong functional barrier properties and also express multiple BBB specific receptors, transporters and efflux pumps; important criteria for studying barrier regulation and drug delivery applications in the CNS.
In this study, we used iBECs to assess cytokine-induced endothelial cell activation and concomitant expression of immune cell adhesion molecules under inflammatory conditions. Stimulation of iBECs with pro-inflammatory cytokines and U87vIII co-cultures, induced expression of ICAM-1 and VCAM-1, but not other immune adhesion molecules such as VCAM-2, S- and P-Selectin; similar to what was previously reported for other iPSC-derived BECs [40, 42, 63]. Recent efforts to improve differentiation strategies to generate iBECs with a more robust endothelial and adhesion molecule phenotype have been described [42, 64]; however, these models lacked high TEER barrier properties characteristic of the BBB. Since inflammatory induced expression of VCAM-1 and ICAM-1 and sufficient barrier properties are a prerequisite for evaluating CAR-T/T cell mediated mechanisms involved in T cell diapedesis across the BBB [65], we used this model to assess CAR-T extravasation across the iBEC monolayer. Immune cell extravasation across the BBB is a multistep process that is regulated by the sequential interaction of different signaling and adhesion molecules on the endothelial and immune cells [66]. To re-create flow-based in vivo conditions, where these interactions occur under shear stress, we used a microfluidic based BBTB-on-CHIP model. Flow-derived shear forces generate mechanical stimuli that work in concert with biochemical signals to modulate leukocyte–endothelial cell interactions, increasing the probability of leukocyte engagement of their chemokine receptors, facilitating integrin activation and consequent arrest [51]. Furthermore, these BBTB models also facilitate recapitulating the complexity of the GBM tumor microenvironment that is recognized as highly immunosuppressive [67]. As such, the immune microenvironment poses a major hurdle for CAR-T trafficking, infiltration, persistence and proliferation limiting anti-tumor activity. Leveraging these BBTB-on-CHIP models to recapitulate the heterogeneity and immunosuppressive microenvironment of GBM will further advance the development of novel immunotherapeutic strategies [67–70].
Systemically administered CAR-T therapies targeting CNS tumors will need to cross the BBTB in order to reach the tumor site, although the possibility of extravasation and migration via the choroid plexus cannot be excluded [71]. In this study, we used both the transwell and BBB-on-CHIP systems to examine CAR-T extravasation across the BBB in U87vIII co-culture systems. Brain tumors are known to compromise the integrity of the BBB, resulting in a vasculature known as the BBTB, which is highly heterogeneous and characterized by numerous distinct features, including non-uniform permeability and active efflux of molecules [72]. iBEC and U87vIII co-cultures resulted in an upregulation of ICAM-1 and VCAM-1, recapitulating neuroinflammatory conditions characterized by endothelial activation, as well as increased BBB permeability. This, in turn, facilitated CAR-T cell extravasation across the BBB; the observed extravasation was at similar levels observed for immune cells in other transwell BBB models [65, 73–76]. However, both CAR-F263 and CAR-F269 caused an increase in NaFl permeability compared to Mock T cells and iBEC controls. The tonically active CAR-F263 showed the highest percentage of extravasation in the abluminal compartment, the highest level of activation and subsequently the most robust killing of the U87vIII cells. Consistent with the delayed activation of CAR-F269, these cells showed similar extravasation rates as well as killing of U87vIII cells as unmodified Mock T cells [33].
Curiously, both CAR-F263 and CAR-F269 activation, higher than that of Mock T cells, was also observed in the upper luminal chamber, which may contribute to the increased BBB permeability for CAR-Ts. The mechanisms of this CAR activation are not clear. However, it could be the consequence of endothelial-produced secreted mediators or even those secreted by U87vIII co-cultured cells passing from the abluminal chamber. This ‘basal’ CAR-T activation in the presence of iBEC –U87vIII co-cultures could explain the observed disruption in barrier tightness. Since BECs have been shown to express MHC II and the co-stimulatory molecules CD40 and ICOSL following cytokine/inflammatory stimulation [77–79], iBECs could hypothetically act as antigen presenting cells to allogeneic T cells resulting in the activation of the T cells. To confirm this hypothesis, HLA matched cultures will be needed in future studies.
Post-BBB extravasation, CAR-F263 showed a robust effector function resulting in high cytotoxicity towards target U87vIII cells, compared to Mock T cells. This ‘positive control’ then facilitated the identification of high and low responder CAR constructs [33] against CNS targets. These data indicate that CAR-F263 may be more likely to have clinical activity if administered intravenously than the non-auto activating CAR-F269. Collectively, we were able to validate CAR-T cell extravasation across the BBB, cytotoxicity on target cells and examine changes in barrier disruption for different CAR-T constructs as potential predictors of the neurotoxicity-related events.
The two serious toxicities associated with CAR-T cell therapy include CRS and ICANS. Vascular endothelial activation, resulting from the high levels of inflammatory cytokines (IL6, TNFγ and TNFβ), has been suggested to contribute to the development of CRS and ICANS after CAR-T therapy. The accompanying BBB disruption, increased permeably and influx of inflammatory cytokines and immune cells into the CNS could initiate a feedback loop of continued endothelial activation resulting in encephalopathy syndrome. Although the pivotal role of endothelial cells in CAR-T therapy-associated CRS and ICANS has been recognized, the mechanisms of CAR-T therapy-induced endothelial dysfunction as well as potential therapeutic strategies have not yet been well studied. This study demonstrates how iPSC-derived human BBB models in vitro could be of significant value as preclinical models for understanding CAR-T related neurotoxicity, as well as enabling preclinical screening and/or clinical titrations of CAR-T candidates based on BEC-induced toxicity. Collectively, these models become key in supporting the development of systemically-delivered CAR-T designs that target brain tumors [6]. Leveraging human iPSC-derived isogeneic culture of the neurovascular unit (astrocytes, pericytes and neurons) could further advance our understanding of CAR-T mediated neurotoxicity.
While these initial studies are meant as a technical proof of concept primarily, we have observed that tonic-signaling CARs exhibit a higher level of BBB transmigration, perhaps suggesting that CAR molecules developed for peripheral cancers, with lower tonic activity, might also show lower neurotoxicity. Furthermore, these models can also be useful in evaluating vasculo- and neuroprotective management and treatment strategies to minimize the neurotoxic effects of CAR-T therapies. The mitigation of on-target, off-tumor effects, neurotoxicity, and the potential of CRS/ICANS remain essential considerations in the development of novel CAR-T cell therapies [80, 81].
Supplementary Information
Acknowledgements
We would like to thank Dongling Zhang and Dr. Robert Monette for providing technical support on setting up the confocal imaging and Yonghong Guan for helping with the TEER measurements. Ashley Helser from CFD Research for providing experimental and technical support related to setting up the SynBBB CHIPS as well as the SynVivo technical team for generously supplying us with SynBBB chips and aiding us in setting up the microfluidic platform.
Author contributions
JH and YBL—designed and performed the experiment, performed analysis of data and writing of manuscript; CC—performed the iBEC differentiations; TN—cultured U87vIII and CAR-T cells; ZL—RNASeq analysis; DB—generated and supplied CAR-T/Mock T cells for experimentation; AZ—performed flow cytometry experiments; SL—performed the RNASeq experiments; EB—provided technical support for designing and optimizing of T cell transwell extravasation experiments; CS—performed immunocytochemistry and prepared figures and drawings; GF– generously provided the SynBBB chips and provided technical support in CHIP setup and experimentation; QL—performed RNASeq analysis; BP—microfluidic experimental design and assay development/analytics; SM—experimental design and analysis of CAR-T extravasation and cytotoxicity data; DS—conceptualization, experimental design; AJ—conceptualization, experimental design, data analysis and writing of manuscript. All authors read and approved the final manuscript.
Funding
This study was funded by the National Research Council of Canada.
Data availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author upon request.
Declarations
Ethics approval and consent to participate
All studies with human cells and tissues have been approved by the Ottawa Hospital and the National Research Council of Canada’s Research Ethics Boards. Informed written consent was obtained to use the amniotic fluid for research purposes and all the methods were carried out in accordance with the relevant guidelines and regulations as approved by the Ottawa Hospital Research Ethics Board. Primary human T cells were isolated from whole blood obtained from healthy human volunteers under informed consent and approval through the National Research Council of Canada Research Ethics Board.
Consent for publication
Not applicable.
Competing interests
GF is an employee of SynVivo Inc—commercial supplier of SynBBB chips.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Jez Huang and Ying Li contributed equally to this work
References
- 1.Li L, Zhu X, Qian Y, Yuan X, Ding Y, Hu D, et al. Chimeric antigen receptor T-cell therapy in glioblastoma: current and future. Front Immunol. 2020 doi: 10.3389/fimmu.2020.594271. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Hong M, Clubb JD, Chen YY. Engineering CAR-T cells for next-generation cancer therapy. Cancer cell. 2020. 473–88. https://pubmed.ncbi.nlm.nih.gov/32735779/. Accessed 3 Mar 2022. [DOI] [PubMed]
- 3.Ostrom QT, Cioffi G, Gittleman H, Patil N, Waite K, Kruchko C, et al. CBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2012–2016. Neuro Oncol Neuro Oncol. 2019. V1–100. https://pubmed.ncbi.nlm.nih.gov/31675094/. Accessed 21 Oct 2021. [DOI] [PMC free article] [PubMed]
- 4.Thakkar JP, Dolecek TA, Horbinski C, Ostrom QT, Lightner DD, Barnholtz-Sloan JS, et al. Epidemiologic and molecular prognostic review of glioblastoma. Cancer epidemiol. Biomarkers Prev. 2014. 1985–96. https://pubmed.ncbi.nlm.nih.gov/25053711/. Accessed 21 Oct 2021. [DOI] [PMC free article] [PubMed]
- 5.Bagley SJ, Desai AS, Linette GP, June CH, O’Rourke DM. CAR T-cell therapy for glioblastoma: recent clinical advances and future challenges. Neuro Oncol. 2018;20:1429–38. doi: 10.1093/neuonc/noy032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Akhavan D, Alizadeh D, Wang D, Weist MR, Shepphird JK, Brown CE. CAR T cells for brain tumors: lessons learned and road ahead. Immunol Rev. 2019. 60–84. https://pubmed.ncbi.nlm.nih.gov/31355493/. Accessed 20 Oct 2021. [DOI] [PMC free article] [PubMed]
- 7.Chuntova P, Downey KM, Hegde B, Almeida ND, Okada H. Genetically engineered T-cells for malignant glioma: overcoming the barriers to effective immunotherapy. Front Immunol. 2019 doi: 10.3389/fimmu.2018.03062. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Ren PP, Li M, Li TF, Han SY. Anti-EGFRvIII chimeric antigen receptor-modified T cells for adoptive cell therapy of glioblastoma. Curr Pharm Des. 2017;23(14):2113–6. 10.2174/1381612823666170316125402. [DOI] [PMC free article] [PubMed]
- 9.Feldman L, Brown C, Badie B. Chimeric antigen receptor T-cell therapy: updates in glioblastoma treatment. Neurosurgery. 2021. p. 1056–64. https://pubmed.ncbi.nlm.nih.gov/33575786/. Accessed 21 Oct 2021. [DOI] [PMC free article] [PubMed]
- 10.Kosti P, Maher J, Arnold JN. Perspectives on chimeric antigen receptor T-cell immunotherapy for solid tumors. Front Immunol. 2018;9:1104. doi: 10.3389/fimmu.2018.01104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Banks WA. Characteristics of compounds that cross the blood-brain barrier. BMC Neurol. BioMed Central. 2009. 1–5. https://bmcneurol.biomedcentral.com/articles/10.1186/1471-2377-9-S1-S3. Accessed 25 Apr 2022. [DOI] [PMC free article] [PubMed]
- 12.Marchetti L, Engelhardt B. Immune cell trafficking across the blood-brain barrier in the absence and presence of neuroinflammation. Vasc Biol. Bioscientifica Ltd. 2020;2:H1. https://www.pmc/articles/PMC7439848/. Accessed 21 Oct 2021. [DOI] [PMC free article] [PubMed]
- 13.Engelhardt B, Ransohoff RM. Capture, crawl, cross: The T cell code to breach the blood-brain barriers. Trends Immunol. 2012. 579–89. https://pubmed.ncbi.nlm.nih.gov/22926201/. Accessed 21 Oct 2021. [DOI] [PubMed]
- 14.Gupta P, Han S-Y, Holgado-Madruga M, Mitra SS, Li G, Nitta RT, et al. Development of an EGFRvIII specific recombinant antibody. BMC Biotechnol. BioMed Central. 2010;10: 72. https://www.pmc/articles/PMC2959087/. Accessed 21 Oct 2021. [DOI] [PMC free article] [PubMed]
- 15.Brennan CW, Verhaak RGW, McKenna A, Campos B, Noushmehr H, Salama SR, et al. The somatic genomic landscape of glioblastoma. Cell. 2013;155:462–77. doi: 10.1016/j.cell.2013.09.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Wikstrand CJ, Hale LP, Batra SK, Hill ML, Humphrey PA, Kurpad SN, et al. Monoclonal antibodies against EGFRvIII are tumor specific and react with breast and lung carcinomas and malignant gliomas. Cancer Res. 1995;55(14):3140–8. [PubMed] [Google Scholar]
- 17.O’Rourke DM, Nasrallah MP, Desai A, Melenhorst JJ, Mansfield K, Morrissette JJD, et al. A single dose of peripherally infused EGFRvIII-directed CAR T cells mediates antigen loss and induces adaptive resistance in patients with recurrent glioblastoma. Sci Transl Med. NIH Public Access. 2017;9: 984. https://www.pmc/articles/PMC5762203/. Accessed 21 Oct 2021. [DOI] [PMC free article] [PubMed]
- 18.Sampson JH, Choi BD, Sanchez-Perez L, Suryadevara CM, Snyder DJ, Flores CT, et al. EGFRvIII mCAR-modified T-cell therapy cures mice with established intracerebral glioma and generates host immunity against tumor-antigen loss. Clin Cancer Res. 2014;20:972–84. https://pubmed.ncbi.nlm.nih.gov/24352643/. Accessed 25 Apr 2022. [DOI] [PMC free article] [PubMed]
- 19.Goff SL, Morgan RA, Yang JC, Sherry RM, Robbins PF, Restifo NP, et al. Pilot trial of adoptive transfer of chimeric antigen receptor-transduced T cells targeting EGFRvIII in patients with glioblastoma. J Immunother. 2019;42:126–35. https://pubmed.ncbi.nlm.nih.gov/30882547/. Accessed 25 Apr 2022. [DOI] [PMC free article] [PubMed]
- 20.Land CA, Musich PR, Haydar D, Krenciute G, Xie Q. Chimeric antigen receptor T-cell therapy in glioblastoma: charging the T cells to fight. J Transl Med. BioMed Central. 2020; 18:1–13. https://translational-medicine.biomedcentral.com/articles/10.1186/s12967-020-02598-0. Accessed 21 Oct 2021. [DOI] [PMC free article] [PubMed]
- 21.Santomasso BD, Park JH, Salloum D, Riviere I, Flynn J, Mead E, et al. Clinical and biological correlates of neurotoxicity associated with car t-cell therapy in patients with B-cell acute lymphoblastic leukemia. Cancer Discov. 2018;8:958–71. doi: 10.1158/2159-8290.CD-17-1319. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Gust J, Hay KA, Hanafi L-A, Li D, Myerson D, Gonzalez-Cuyar LF, et al. Endothelial activation and blood-brain barrier disruption in neurotoxicity after adoptive immunotherapy with CD19 CAR-T cells. Cancer Discov. American Association for Cancer Research. 2017;7:1404–19 http://www.ncbi.nlm.nih.gov/pubmed/29025771. Accessed 8 Apr 2019. [DOI] [PMC free article] [PubMed]
- 23.Gust J, Taraseviciute A, Turtle CJ. Neurotoxicity Associated with CD19-Targeted CAR-T cell therapies. CNS drugs. NIH Public Access. 2018;32: 1091. https://www.pmc/articles/PMC7295115/. Accessed 27 Apr 2022. [DOI] [PMC free article] [PubMed]
- 24.Turtle CJ, Hay KA, Hanafi L-A, Gust J, Liles WC, López JA, et al. Endothelial activation and blood-brain barrier disruption in neurotoxicity after CD19 CAR-T cell immunotherapy. Blood Content Repos Only! 2017;130:805. doi: 10.1158/2159-8290.CD-17-0698. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Siegler EL, Kenderian SS. Neurotoxicity and cytokine release syndrome after chimeric antigen receptor T cell therapy: insights into mechanisms and novel therapies. Front Immunol. 2020;11:1973. doi: 10.3389/fimmu.2020.01973. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Mackall CL, Miklos DB. CNS endothelial cell activation emerges as a driver of CAR T cell—associated neurotoxicity. Cancer Discov. 2017;7:1371–3. doi: 10.1158/2159-8290.CD-17-1084. [DOI] [PubMed] [Google Scholar]
- 27.Morris EC, Neelapu SS, Giavridis T, Sadelain M. Cytokine release syndrome and associated neurotoxicity in cancer immunotherapy. Nat Rev Immunol 2022;22(2):85–96. 10.1038/s41577-021-00547-6. [DOI] [PMC free article] [PubMed]
- 28.Parker KR, Migliorini D, Perkey E, Yost KE, Bhaduri A, Bagga P, et al. Single-cell analyses identify brain mural cells expressing CD19 as potential off-tumor targets for CAR-T immunotherapies. Cell. 2020;183:126–142.e17. doi: 10.1016/j.cell.2020.08.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Tmunity stops solid tumor CAR-T trial after 2 patients die|Fierce Biotech. https://www.fiercebiotech.com/biotech/tmunity-stops-solid-tumor-car-t-trial-after-2-patients-die. Accessed 7 Mar 2022.
- 30.Stanimirovic D, Jezierski A. Blood-brain barrier models in pre-clinical assessment of CNS-targeting cell and gene therapies targeted contrast agents view project Nitric oxide synthases view project. 2019. https://www.researchgate.net/publication/334663121. Accessed 21 Oct 2021.
- 31.Nishikawa R, Ji XD, Harmon RC, Lazar CS, Gill GN, Cavenee WK, et al. A mutant epidermal growth factor receptor common in human glioma confers enhanced tumorigenicity. Proc Natl Acad Sci. National Academy of Sciences. 1994;91: 7727–31. https://www.pnas.org/content/91/16/7727. Accessed 11 Jan 2022. [DOI] [PMC free article] [PubMed]
- 32.Abulrob A, Giuseppin S, Andrade MF, McDermid A, Moreno M, Stanimirovic D. Interactions of EGFR and caveolin-1 in human glioblastoma cells: evidence that tyrosine phosphorylation regulates EGFR association with caveolae. Oncogene 2004 2341. Nature Publishing Group. 2004;23: 6967–79. https://www.nature.com/articles/1207911. Accessed 11 Jan 2022. [DOI] [PubMed]
- 33.Bloemberg D, Nguyen T, MacLean S, Zafer A, Gadoury C, Gurnani K, et al. A high-throughput method for characterizing novel chimeric antigen receptors in Jurkat cells. Mol Ther Method Clin Dev. 2020;16:238–54. doi: 10.1016/j.omtm.2020.01.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Charlebois C, Huang J, Sodja C, Ribecco-Lutkiewicz M, Baumann E, Stanimirovic DB, et al. Development of a blood-brain barrier permeability assay using human induced pluripotent stem cell derived brain endothelial cells. Methods Mol Biol. 2021. https://pubmed.ncbi.nlm.nih.gov/33881753/. Accessed 7 Nov 2021. [DOI] [PubMed]
- 35.Ribecco-Lutkiewicz M, Sodja C, Haukenfrers J, Haqqani AS, Ly D, Zachar P, et al. A novel human induced pluripotent stem cell blood-brain barrier model: applicability to study antibody-triggered receptor-mediated transcytosis. Sci Rep. Nature Publishing Group. 2018;8: 1873. http://www.nature.com/articles/s41598-018-19522-8. Accessed 9 Apr 2019. [DOI] [PMC free article] [PubMed]
- 36.Dobin A, Davis CA, Schlesinger F, Drenkow J, Zaleski C, Jha S, et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics. Oxford Academic. 2013;29: 15–21. https://academic.oup.com/bioinformatics/article/29/1/15/272537. Accessed 15 Nov 2021. [DOI] [PMC free article] [PubMed]
- 37.Zerbino DR, Achuthan P, Akanni W, Amode MR, Barrell D, Bhai J, et al. Ensembl 2018. Nucleic Acids Res. Oxford Academic. 2018;46: D754–61. https://academic.oup.com/nar/article/46/D1/D754/4634002. Accessed 15 Nov 2021. [DOI] [PMC free article] [PubMed]
- 38.Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. BioMed Central Ltd. 2014;15: 1–21. https://genomebiology.biomedcentral.com/articles/10.1186/s13059-014-0550-8. Accessed 15 Nov 2021. [DOI] [PMC free article] [PubMed]
- 39.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. Nature Publishing Group. 2014;4:1–10. https://www.nature.com/articles/srep04160. Accessed 25 Apr 2022. [DOI] [PMC free article] [PubMed]
- 40.Qian T, Maguire SE, Canfield SG, Bao X, Olson WR, Shusta EV, et al. Directed differentiation of human pluripotent stem cells to blood-brain barrier endothelial cells. Sci Adv. 2017;3(11):e1701679. doi: 10.1126/sciadv.1701679. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Linville RM, DeStefano JG, Sklar MB, Xu Z, Farrell AM, Bogorad MI, et al. Human iPSC-derived blood-brain barrier microvessels: validation of barrier function and endothelial cell behavior. Biomaterials. NIH Public Access. 2019;190–191:24. https://www.pmc/articles/PMC6289621/. Accessed 21 Oct 2021. [DOI] [PMC free article] [PubMed]
- 42.Nishihara H, Gastfriend BD, Soldati S, Perriot S, Mathias A, Sano Y, et al. Advancing human induced pluripotent stem cell-derived blood-brain barrier models for studying immune cell interactions. FASEB J. John Wiley and Sons Inc. 2020;34: 16693–715. https://faseb.onlinelibrary.wiley.com/doi/full/10.1096/fj.202001507RR. Accessed 8 Jun 2021. [DOI] [PMC free article] [PubMed]
- 43.Schneider SW, Ludwig T, Tatenhorst L, Braune S, Oberleithner H, Senner V, et al. Glioblastoma cells release factors that disrupt blood-brain barrier features. Acta Neuropathol. 2004;107: 272–6. http://www.ncbi.nlm.nih.gov/pubmed/14730455. Accessed 7 Feb 2020. [DOI] [PubMed]
- 44.Sarkaria JN, Hu LS, Parney IF, Pafundi DH, Brinkmann DH, Laack NN, et al. Is the blood–brain barrier really disrupted in all glioblastomas? A critical assessment of existing clinical data. Neuro Oncol. 2018;20:184–91. http://academic.oup.com/neuro-oncology/article/20/2/184/4107399. Accessed 5 Feb 2020. [DOI] [PMC free article] [PubMed]
- 45.Vigh JP, Kincses A, Ozgür B, Walter FR, Santa-Maria AR, Valkai S, et al. Transendothelial electrical resistance measurement across the blood–brain barrier: a critical review of methods. Micromachines. 2021. https://pubmed.ncbi.nlm.nih.gov/34208338/. Accessed 25 Apr 2022. [DOI] [PMC free article] [PubMed]
- 46.Banks WA, Erickson MA. The blood-brain barrier and immune function and dysfunction. Neurobiol Dis. 2010. 26–32. https://pubmed.ncbi.nlm.nih.gov/19664708/. Accessed 25 Oct 2021. [DOI] [PubMed]
- 47.Owens T, Bechmann I, Engelhardt B. Perivascular spaces and the two steps to neuroinflammation. J Neuropathol Exp Neurol J. 2008. 1113–21. https://pubmed.ncbi.nlm.nih.gov/19018243/. Accessed 25 Oct 2021. [DOI] [PubMed]
- 48.Takeshita Y, Ransohoff RM. Inflammatory cell trafficking across the blood-brain barrier (BBB): chemokine regulation and in vitro models. Immunol Rev. NIH Public Access; 2012; 248:228. https://www.pmc/articles/PMC3383666/. Accessed 25 Oct 2021. [DOI] [PMC free article] [PubMed]
- 49.Elbakary B, Badhan RKS. A dynamic perfusion based blood-brain barrier model for cytotoxicity testing and drug permeation. Sci Reports 2020 101. Nature Publishing Group. 2020; 10: 1–12. https://www.nature.com/articles/s41598-020-60689-w. Accessed 20 Oct 2021. [DOI] [PMC free article] [PubMed]
- 50.Nagel T, Resnick N, Atkinson WJ, Dewey CF, Gimbrone MA. Shear stress selectively upregulates intercellular adhesion molecule-1 expression in cultured human vascular endothelial cells. J Clin Invest. 1994;94:885–91. doi: 10.1172/JCI117410. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Bianchi E, Molteni R, Pardi R, Dubini G. Microfluidics for in vitro biomimetic shear stress-dependent leukocyte adhesion assays. J Biomech. 2013; 46:276–83. https://pubmed.ncbi.nlm.nih.gov/23200903/. Accessed 20 Oct 2021. [DOI] [PubMed]
- 52.Abadier M, Haghayegh Jahromi N, Cardoso Alves L, Boscacci R, Vestweber D, Barnum S, et al. Cell surface levels of endothelial ICAM-1 influence the transcellular or paracellular T-cell diapedesis across the blood-brain barrier. Eur J Immunol. 2015;45:1043–58. doi: 10.1002/eji.201445125. [DOI] [PubMed] [Google Scholar]
- 53.Cucullo L, Hossain M, Puvenna V, Marchi N, Janigro D. The role of shear stress in blood-brain barrier endothelial physiology. BMC Neurosci. 2011;12(1):1–5. doi: 10.1186/1471-2202-12-40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Mondadori C, Crippa M, Moretti M, Candrian C, Lopa S, Arrigoni C. Advanced microfluidic models of cancer and immune cell extravasation: a systematic review of the literature. Front Bioeng Biotechnol. 2020 doi: 10.3389/fbioe.2020.00907. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Piechocka IK, Keary S, Sosa-Costa A, Lau L, Mohan N, Stanisavljevic J, et al. Shear forces induce ICAM-1 nanoclustering on endothelial cells that impact on T-cell migration. Biophys J. Cell Press. 2021;120:2644–56. doi: 10.1016/j.bpj.2021.05.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Deosarkar SP, Prabhakarpandian B, Wang B, Sheffield JB, Krynska B, Kiani MF. A novel dynamic neonatal blood-brain barrier on a chip. PLoS ONE. Public Library of Science. 2015;10: e0142725. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0142725. Accessed 16 Mar 2022. [DOI] [PMC free article] [PubMed]
- 57.Brown TD, Nowak M, Bayles A V., Prabhakarpandian B, Karande P, Lahann J, et al. A microfluidic model of human brain (μHuB) for assessment of blood brain barrier. Bioeng Transl Med. Wiley. 2019; 4:e10126. https://onlinelibrary.wiley.com/doi/full/10.1002/btm2.10126. Accessed 16 Mar 2022. [DOI] [PMC free article] [PubMed]
- 58.Prabhakarpandian B, Shen MC, Nichols JB, Mills IR, Sidoryk-Wegrzynowicz M, Aschner M, et al. SyM-BBB: a microfluidic blood brain barrier model. Lab chip. The Royal Society of Chemistry. 2013; 13:1093–101. https://pubs.rsc.org/en/content/articlehtml/2013/lc/c2lc41208j. Accessed 16 Mar 2022. [DOI] [PMC free article] [PubMed]
- 59.Terrell-Hall TB, Ammer AG, Griffith JIG, Lockman PR. Permeability across a novel microfluidic blood-tumor barrier model. Fluids Barriers CNS. 2017;14:3. doi: 10.1186/s12987-017-0050-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Terrell-Hall TB, Nounou MI, El-Amrawy F, Griffith JIG, Lockman PR, Terrell-Hall TB, et al. Trastuzumab distribution in an in-vivo and in-vitro model of brain metastases of breast cancer. Oncotarget. Impact Journals. 2017; 8:83734–44. https://www.oncotarget.com/article/19634/text/. Accessed 16 Mar 2022. [DOI] [PMC free article] [PubMed]
- 61.Workman MJ, Svendsen CN. Recent advances in human iPSC-derived models of the blood–brain barrier. Fluids barriers CNS 2020 171. BioMed central. 2020; 17:1–10. https://fluidsbarrierscns.biomedcentral.com/articles/10.1186/s12987-020-00191-7. Accessed 27 Oct 2021. [DOI] [PMC free article] [PubMed]
- 62.Lu TM, Houghton S, Magdeldin T, Durán JGB, Minotti AP, Snead A, et al. Pluripotent stem cell-derived epithelium misidentified as brain microvascular endothelium requires ETS factors to acquire vascular fate. Proc Natl Acad Sci. National academy of sciences. 2021; 118. https://www.pnas.org/content/118/8/e2016950118. Accessed 22 Oct 2021. [DOI] [PMC free article] [PubMed]
- 63.Linville RM, DeStefano JG, Sklar MB, Xu Z, Farrell AM, Bogorad MI, et al. Human iPSC-derived blood-brain barrier microvessels: validation of barrier function and endothelial cell behavior. Biomaterials. 2019;190–191:24. doi: 10.1016/j.biomaterials.2018.10.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Lu TM, Houghton S, Magdeldin T, Durán JGB, Minotti AP, Snead A, et al. Pluripotent stem cell-derived epithelium misidentified as brain microvascular endothelium requires ETS factors to acquire vascular fate. Proc Natl Acad Sci. 2021 doi: 10.1073/pnas.2016950118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Lyck R, Lécuyer MA, Abadier M, Wyss CB, Matti C, Rosito M, et al. ALCAM (CD166) is involved in extravasation of monocytes rather than T cells across the blood–brain barrier. J Cereb Blood Flow Metab. 2017;37:2894–909. doi: 10.1177/0271678X16678639. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Engelhardt B, Ransohoff RM. Capture, crawl, cross: The T cell code to breach the blood-brain barriers. Trends Immunol. 2012;33(12):579–89. doi: 10.1016/j.it.2012.07.004. [DOI] [PubMed] [Google Scholar]
- 67.Antunes ARP, Scheyltjens I, Duerinck J, Neyns B, Movahedi K, Van Ginderachter JA. Understanding the glioblastoma immune microenvironment as basis for the development of new immunotherapeutic strategies. Elife. eLife sciences publications, Ltd. 2020; 9. https://www.pmc/articles/PMC7000215/. Accessed 21 Apr 2022. [DOI] [PMC free article] [PubMed]
- 68.Cribaro GP, Saavedra-López E, Romarate L, Mitxitorena I, Díaz LR, Casanova P V., et al. Three-dimensional vascular microenvironment landscape in human glioblastoma. Acta Neuropathol Commun. BioMed Central Ltd. 2021; 9:1–20. https://actaneurocomms.biomedcentral.com/articles/10.1186/s40478-020-01115-0. Accessed 22 Apr 2022. [DOI] [PMC free article] [PubMed]
- 69.Fanelli GN, Grassini D, Ortenzi V, Pasqualetti F, Montemurro N, Perrini P, et al. Decipher the glioblastoma microenvironment: the first milestone for new groundbreaking therapeutic strategies. Genes (Basel). 2021; 12. https://pubmed.ncbi.nlm.nih.gov/33804731/. Accessed 22 Apr 2022. [DOI] [PMC free article] [PubMed]
- 70.DeCordova S, Shastri A, Tsolaki AG, Yasmin H, Klein L, Singh SK, et al. Molecular heterogeneity and immunosuppressive microenvironment in glioblastoma. Front Immunol. 2020;11:1402. doi: 10.3389/fimmu.2020.01402. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Nishihara H, Soldati S, Mossu A, Rosito M, Rudolph H, Muller WA, et al. Human CD4+ T cell subsets differ in their abilities to cross endothelial and epithelial brain barriers in vitro. Fluids barriers CNS. BioMed Central Ltd. 2020; 17:1–18. https://fluidsbarrierscns.biomedcentral.com/articles/10.1186/s12987-019-0165-2. Accessed 28 Apr 2022. [DOI] [PMC free article] [PubMed]
- 72.Arvanitis CD, Ferraro GB, Jain RK. The blood–brain barrier and blood–tumour barrier in brain tumours and metastases. Nat Rev Cancer 2019 201. Nature publishing group. 2019; 20:26–41. https://www.nature.com/articles/s41568-019-0205-x. Accessed 25 Oct 2021. [DOI] [PMC free article] [PubMed]
- 73.Sonar SA, Lal G. Differentiation and transmigration of CD4 T cells in neuroinflammation and autoimmunity. Front Immunol. 2017;8:1695. doi: 10.3389/fimmu.2017.01695. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Steiner O, Coisne C, Cecchelli R, Boscacci R, Deutsch U, Engelhardt B, et al. Differential roles for endothelial ICAM-1, ICAM-2, and VCAM-1 in shear-resistant T cell arrest, polarization, and directed crawling on blood-brain barrier endothelium. J Immunol. 2010;185:4846–55. doi: 10.4049/jimmunol.0903732. [DOI] [PubMed] [Google Scholar]
- 75.Veenstra M, Williams DW, Calderon TM, Anastos K, Morgello S, Berman JW. Frontline science: CXCR7 mediates CD14 + CD16 + monocyte transmigration across the blood brain barrier: a potential therapeutic target for NeuroAIDS. J Leukoc Biol. 2017;102:1173–85. doi: 10.1189/jlb.3HI0517-167R. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Wimmer I, Tietz S, Nishihara H, Deutsch U, Sallusto F, Gosselet F, et al. PECAM-1 stabilizes blood-brain barrier integrity and favors paracellular T-cell diapedesis across the blood-brain barrier during neuroinflammation. Front Immunol. 2019;10:711. doi: 10.3389/fimmu.2019.00711. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Murray AG, Libby P, Pober JS. Human vascular smooth muscle cells poorly co-stimulate and actively inhibit allogeneic CD4 + T cell proliferation in vitro. J Immunol. 1995;154(1):151–61. [PubMed] [Google Scholar]
- 78.Wheway J, Obeid S, Couraud P-O, Combes V, Grau GER. The brain microvascular endothelium supports T cell proliferation and has potential for alloantigen presentation. PLoS ONE. Public Library of Science. 2013; 8:e52586. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0052586. Accessed 27 Oct 2021. [DOI] [PMC free article] [PubMed]
- 79.Dengler TJ, Pober JS. Human vascular endothelial cells stimulate memory but not naive CD8 + T cells to differentiate into ctl retaining an early activation phenotype. J Immunol. 2000;164:5146–55. doi: 10.4049/jimmunol.164.10.5146. [DOI] [PubMed] [Google Scholar]
- 80.Rivera AM, May S, Lei M, Qualls S, Bushey K, Rubin DB, et al. CAR T-cell-associated neurotoxicity: current management and emerging treatment strategies. Crit Care Nurs Q. 2020. 191–204. https://pubmed.ncbi.nlm.nih.gov/32084062/. Accessed 22 Oct 2021. [DOI] [PubMed]
- 81.Chou CK, Turtle CJ. Assessment and management of cytokine release syndrome and neurotoxicity following CD19 CAR-T cell therapy. Expert Opin Biol Ther. 2020;20:653–64. doi: 10.1080/14712598.2020.1729735. [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 generated during and/or analyzed during the current study are available from the corresponding author upon request.