- Research article
- Open Access
A new dynamic in vitro modular capillaries-venules modular system: Cerebrovascular physiology in a box
© Cucullo et al.; licensee BioMed Central Ltd. 2013
- Received: 5 June 2012
- Accepted: 25 January 2013
- Published: 6 February 2013
The study of the cerebrovascular physiology is crucial to understand the pathogenesis of neurological disease and the pharmacokinetic of drugs. Appropriate models in vitro often fail to represent in vivo physiology. To address these issues we propose the use of a novel artificial vascular system that closely mimics capillary and venous segments of human cerebrovasculature while also allowing for an extensive control of the experimental variables and their manipulation.
Using hollow fiber technology, we modified an existing dynamic artificial model of the blood–brain barrier (BBB) (DIV-capillary) to encompass the distal post-capillary (DIV-venules) segments of the brain circulatory system. This artificial brain vascular system is comprised of a BBB module serially connected to a venule segment. A pump generates a pulsatile flow with arterial pressure feeding the system. The perfusate of the capillary module achieves levels of shear stress, pressure, and flow rate comparable to what observed in situ. Endothelial cell exposure to flow and abluminal astrocytic stimuli allowed for the formation of a highly selective capillary BBB with a trans-endothelial electrical resistance (TEER; >700 ohm cm2) and sucrose permeability (< 1X10-u cm/sec) comparable to in vivo. The venule module, which attempted to reproduce features of the hemodynamic microenvironment of venules, was perfused by media resulting in shear stress and intraluminal pressure levels lower than those found in capillaries. Because of altered cellular and hemodynamic factors, venule segments present a less stringent vascular bed (TEER <250 Ohm cm2; Psucrose > 1X10-4 cm/sec) than that of the BBB. Abluminal human brain vascular smooth muscle cells were used to reproduce the venular abluminal cell composition.
The unique characteristics afforded by the DIV-BBB in combination with a venule segment will realistically expand our ability to dissect and study the physiological and functional behavior of distinct segments of the human cerebrovascular network.
- Neurological diseases
- Shear stress
- Transmural pressure
- Cerebral blood flow
- Drug delivery
The field of cerebrovascular research has created new and exciting opportunities for investigative and clinical studies. The challenge of reproducing the physiological characteristics and response of multiple brain vascular segments in vitro represents a critical biotechnological springboard for future mechanistic or preclinical studies. A realistic model of the brain circulation may significantly help understanding the mechanisms involved in the cerebrovascular response to a number of physiological and pathological stimuli. This, in turn will provide new strategies to accelerate the development on novel central nervous system (CNS) drug therapies and reduce the burden of major neurological disorders. As the research community recognize, mimicking the physiology of multiple vascular segments in vitro is a challenging task. An ideal cerebrovascular model should be able to reproduce the hemodynamic and cellular characteristics of each vascular segment. For example the vascular bed of brain microcapillaries selectively excludes most blood-borne substances from entering the brain and vice versa . The venule segment is more permissive and allows leukocyte extravasation .
The barrier property of the cerebral vasculature depends on inter-endothelial tight junctions between adjacent endothelial cells that limit paracellular diffusion. At the BBB level, the endothelial cells are also characterized by low pinocytotic activity, lack of fenestrations, and unique expression patterns of trans-membrane transport proteins to regulate traffic into and out of the brain parenchyma . Therefore, transit across the BBB involves translocation through the capillary endothelium by asymmetrically expressed carrier-mediated transport systems. These are responsible for passage of certain water soluble but biologically important substances such as glucose, mono-carboxylic acids, amino acids, etc. . Furthermore, in addition to a physical and a transport barrier the BBB endothelium acts as a metabolic barrier. This function is mediated by a BBB-specific cytochrome P450 enzymes that catalyze the biotransformation of lipids and steroidal hormones, as well as xenobiotics For example, the antiepileptic drug undergoes brain-specific metabolism in addition to its known conversion by liver P450 enzymes .
BBB endothelial cells are surrounded by astrocytic end feet processes sharing a basal lamina, and enveloping > 99% of the BBB endothelium [4–6]. Astrocyte interactions with the cerebral endothelium modulate BBB function, regulate protein expression, facilitate endothelial differentiation and play a major role in the expression and maintenance of functional inter-endothelial tight junctions as well as of other BBB properties .
Flow plays a crucial role in modulating BBB functions
The exposure to physiological shear stress (SS) also plays a critical role in modulating BBB functions and facilitating the differentiation of vascular endothelial cells into a BBB phenotype [8–10]. Flow across the apical surface of the vascular endothelium activates a number of mechanosensors (e.g., integrins, caveolae, G proteins, and ion channels) [11–13] which transduce physical stimuli into biochemical signals. Despite the variety of potential mechanosensors present on the luminal side of the endothelial cell membrane one of the major common downstream effect is the activation of extracellular-signal-regulated kinases 1/2 (ER  K1/2). These are pleiotropic modulators of the cell physiology and play an important role in the control of the expression of gene involved in the regulation of cell division, apoptosis, cell differentiation and cell migration [9, 10, 13, 15–18]. Interestingly, expression of these genes in endothelial cells is under the control of shear stress [10, 13].
Rheological and architectural characteristics of distal brain venules
The architecture and cellular milieu of these vessels are remarkably different from that of the BBB due to the existence of mural cells (where smooth muscle cells start gradually appearing in venules with a diameter > 30 μm up to ≅ 50 μm)  and perivascular spaces. This affects the organization of the inter-endothelial tight junctions , which leads to the formation of a significantly less selective vascular bed than BBB capillaries . There is general agreement that, venular endothelial cells are exposed to a significant lower level of SS (between 1.5 to 4.5 dynes/cm2) than those forming the capillary vascular bed. Direct measurements of shear stress values in BBB vessels and their venular counterparts are lacking, but given our previous work showing a direct effect of shear on the physiological and functional properties of the vascular endothelium it is reasonable to assume that capillary vs. venules differ in the properties in party owing to shear levels.
Modular dynamic capillary-venule in vitrosystem: Physiology in a box
Side-by-side, comparison between rheological parameters measured in vitro versus in vivo
70.1 ± 0.2
25.5 ± 0.1
11.8 ± 0.4
Shear stress(dyne/cm 2 )
3 ± 1.5
The capillary-venule in vitro system can mimic the rheological characteristics of the corresponding vascular segments in vivo
Vascular integrity and permeability characteristics of capillary and venules in vitro
A functional capillary/BBB model must be able to discriminate the permeability to molecules based on their oil/water partition coefficient. In addition, a capillary-venule model must be able to differentiate the permeability to the same compound between each segment. In fact, where the tightness of the vascular endothelium is a determining factor for the permeability the capillary vascular bed will impede the passage of polar molecule more effectively than that of the venules. To validate our model we performed permeability tests across each module using three different classes of compounds: 1) Sucrose (a well-established paracellular marker); 2) Phenytoin (an anti-epileptic drug and a moderate substrate for multidrug transport systems, e.g., P-glycoprotein); 3) Diazepam (a benzodiazepine that crosses the BBB by passive diffusion). Permeability of each compound was calculated for each segment (capillary and venules) by integrating the area under the ECS and lumen data points (AUC) between time 0 and time (t) = 20 minutes (min) according to the equation described in the methods section .
Figure 3D shows the results of the permeability measurements in the capillary and venule segments. Permeability to Diazepam (PDIAZEPAM; logP ≅ 3) measured in the capillary module was comparable to that observed in the venules (3.97 × 10-3 ± 1.70 cm/sec and 4.09 × 10-3 ± 2.72 cm/sec respectively). Phenytoin permeability (PPHENYTOIN; logP ≅ 2.5) measured in the capillary was 2.59 × 10-5 ± 1.22 cm/sec versus 7.20 × 10-5 ± 1.26 cm/sec in the venule. Sucrose (the least lipophilic compound tested; logP ≅ -3.7) permeability (PSUCROSE) was 4.39 × 10-7 ± 2.68cm/sec and 4.93 × 10-5 ± 1.80cm/sec in the capillary and venule segments respectively.
Vascular response to a hyperosmolar agent
Bioenergetic metabolism of capillary and venule cerebrovascular segments
Hemodynamic alterations as well as pro-inflammatory and exogenous stimuli can adversely affect vascular integrity and lead to the pathogenesis and/or progression of a number of major neurological disorders [5, 29–31]. In vitro studies are set to support and facilitate our understanding of the mechanisms involved in the physiological and pathological modulation of cerebrovascular functions. This is of critical importance for the development of novel strategies aimed at reducing the burden of CNS disease associated with brain vascular impairments. Other in vitro systems have attempted to reproduce the physiological and functional characteristics of capillary or venular segments of the cerebrovascular system (e.g., [32, 33]). However, these models lack the ability to reproduce the environmental cues (e.g., hemodynamic stimuli) to which these vascular beds are exposed in vivo.
The use of hollow fiber technology allowed us and others to establish the first quasi-physiological in vitro BBB models [34–39] which was then further humanized  to reproduce not only healthy BBB properties but also properties of multiple drug resistance and leukocyte extravasation [2, 24, 41]. This technology allows to develop the first artificial interlinked brain capillaries and venules segments, which retain their distinct vascular properties. As shown in Figure 1 the pumping mechanism generates arterial high velocity flow with a systolic blood pressure range (80 to 300 mmHg) comparable to in vivo. A dramatic drop of perfusion velocity and transmural pressure occurs when flow enters the capillary segment generating a vascular shear stress comparable to what has been reported for non-BBB vessels in vivo . After leaving the capillary module, the medium flow enters into the venule module were perivascular astrocytes were replaced by smooth muscle cells to more closely mimic the in situ cellular milieu of this vascular segment. At this level systolic transmural pressure is low (see Figure 2) and flow is characterized by low shear stress (≅ 3 dynes/cm2; see also Table 1). It is important to underscore again that direct measurements of shear levels in brain microvessels is lacking and that the values used in this manuscript are extrapolations from other vascular beds in vivo .
The DIV capillary-venule model not only mimics the rheological characteristics of the corresponding brain vascular segments but also their functional and physiological properties (e.g., Table 1). In agreement with previously published studies BBB capillaries In vivo are characterized by high TEER, lack of paracellular pathways, low permeability to polar molecules (e.g., paracellular markers) and a selective permeability that (in the absence of specific extrusion mechanisms) reflects the lipophilicity of the specific substance . Our results have clearly shown that, similar to in vivo, the artificial capillary vascular bed was characterized by a high TEER (see Figure 3A and 3D); low permeability to the paracellular marker sucrose, and was capable of selective permeability reproducing the in vivo rank order of the tested substances (see Figure 3C) . Overall, the relationship between lipophilicity and permeability found in the DIV-capillary module was similar to that reported by others in vivo .
Venules are characterized by a significantly more permissive vascular bed with a lower TEER and a reduced ability to provide a barrier to the passage of polar molecules than capillaries . In this respect, the DIV-venules showed lower TEER, and a reduced selective permeability (see Figure 3A, 3C and 3D). Our findings also suggest that abluminal astrocytes and high shear stress are both necessary to establish a tight vascular bed [4, 6, 10, 37, 38]. In fact, when the capillary modules were established under venular level of shear stress and vice versa, (venule modules established under capillary-like shear stress levels; see Figure 3B) no TEER increase suggesting the formation of stringent vascular bed was observed.
BBB opening following exposure to hyperosmotic mannitol is common clinical procedure used to enhance chemotherapeutic drug penetration into the CNS to treat patients with metastatic or primary brain tumors . Hyperosmotic opening of the BBB is mediated by vasodilatation and shrinkage of cerebrovascular endothelial cells (and perhaps glia), with widening of the inter-endothelial tight junctions to an estimated radius of 200 Ǻ. This provides paracellular pathways previously lacking that can facilitate the passage of substances across the brain capillary endothelium [21, 27, 28, 47]. Our results (see Figure 4) demonstrated that loss of vascular integrity of in the DIV capillary-venules model mimics the expected physiological vascular response to hyperosmotic agents (magnitude and duration) of the corresponding vascular segments in vivo. The tightness of brain capillary vascular beds is the most dependent upon the tight junctions’ (TJ) ability to seal the space between adjacent endothelial cells. The presence of tight junctions between endothelial cells in our capillary model was demonstrated by electron microscopy  and confirmed by functional assays that measured for example permeability to K ions  The mechanisms of osmotic blood–brain barrier disruption is believed to depend on endothelial cell shrinkage. This may be caused by the exposure to a hyperosmolar environment, efflux of water from the endothelial cell and subsequent cytoskeletal rearrangement. The latter may cause stretching of TJ and widening the interendothelial space. The temporary formation of paracellular routes of entry across the BBB as demonstrated by the monophasic TEER decrease.
The effect of mannitol was strikingly different in the venule compared to capillary modules. Recovery was delayed and overall disruption achieved was less notable at the venular level; the latter may be due to its more prominent paracellular pathway. There is no clear-cut explanation for the delayed recovery of venular TEER after osmotic challenge. However, we would like to underscore that when we performed experiments in vivo (rat, pig; intracarotid injections of mannitol) we found that at 30’-1 hr. intervals white matter venules retained blood–brain barrier disruption properties (measured by different tracer means) while gray matter small vessels (capillaries) were, at this time point, “intact”. The fact that we can reproduce this finding in vitro suggests that the persistence of disruption in larger vessels, and venules as seen in white matter, is due to intrinsic properties rather than vascular access issues, or parenchymal influences. It is also critical to address the issue of molecular mechanisms of osmotic disruption and recovery of TEER. For example, are TJ protein involved in a transcriptional vs. positional way? Are other mechanisms such as transcellular access relevant? We believe that our findings require additional studies, and that only a side-by-side comparison of our in vitro/in vivo will elucidate this. Finally, it is striking that a clinically relevant procedure such as osmotic BBBD has never been mechanistically explored to show what truly are the mechanisms underlying increased permeability after intrarterial mannitol.
Oxygen delivery to the CNS is another important function bestowed upon the brain vessels. Recent studies have shown that PO2 values increase from the post-capillary venules to the distal vessels of the cerebrovascular network and by contrast, measurements of the radial gradients are consistent with an increase oxygen loss . These data support the hypothesis that venules may indeed play a critical role in oxygen delivery. These findings are consistent with our data related to the metabolic behavior of capillary and venule segments. In fact, the highly oxygenated blood from the arterial circulation reaching the brain microcapillaries allows the BBB endothelium to make use of the highly efficient aerobic-driven metabolic respiration to meet the cellular bioenergetic demand and to use less glucose in the process thus maximizing that delivered into the brain (see Figure 5A). On the other hand, if oxygen delivery to the brain primarily occurs at the venular level as suggested by recent studies [48, 49] than a non-oxidative (anaerobic) metabolic behavior (see Figure 5B and 5C) would minimize vascular oxygen consumption leaving more oxygen available for brain delivery. Furthermore, recent studies have clearly shown that shear stress plays a key role in the modulation of bioenergetic metabolism of vascular endothelial cells favoring the utilization of the more energy rewarding aerobic pathway. This perhaps also suggests an additional link between shear stress/flow and vascular functions of the different cerebrovascular territories. However, additional and more specific studies will be necessary to validate this hypothesis and to understand the underlying mechanisms.
A limitation of our study concerns the lack of pericytes to the abluminal mixture of cells. Pericytes have been shown to control several aspects of BBB function in vivo [13, 50] including “barriergenesis” (via release of angiopoietin-1 ) and protection against hypoxia-induced BBB disruption . Although our preliminary experiments (data not shown) revealed no significant effects of pericytes on BBB tightness, these findings needs to be carefully reproduced under different combinatory approaches of cells (astrocytes/pericytes in different ratios). In addition, functional BBB modulatory effects specific for the endothelium or abluminal astrocytes (e.g., cell polarization) are still poorly understood and need to be further investigated. Another limitation of our study is that we did not attempt to isolate the differentiating effects of shear vs. abluminal cell type. Thus, how astrocytes or vascular smooth muscle influence endothelial cell differentiation under conditions of equal shear stress need to be further investigated. In particular.
In summary, we have successfully established an in vitro dynamic capillary-venule modular system capable of reproducing the physiology and the functional characteristics of multiple segments of the brain vascular network. This innovative model represents a refinement of the DIV-BBB, which has fostered many advances in our understanding of the mechanisms regulating BBB function under normal and disease conditions . The DIV capillary-venule system provides critical, yet unexploited, features to investigate the cerebrovascular response to pathophysiological stimuli. This may help the development and validation of novel CNS therapeutic strategies to reduce the burden of many neurological diseases characterized by poor CNS drug penetration or inflammatory cell interaction with the vascular wall.
Normal adult human brain microvascular endothelial cells (HBMEC, cat# 1000), human adult astrocytes (HA, cat# 1800) and human brain vascular smooth muscle cells (HBVSMC, cat# 1100) were purchased from ScienCell Research Laboratories (San Diego, CA 92121). HBMEC were expanded in 75 cm2 flasks pre-coated with fibronectin (3μg/cm2). Growth medium consisted of MCDB 105 (Sigma, Cat# M6395), 10% human AB serum (SIGMA, Cat# S-7148), 15 mg/100 ml of endothelial cell growth supplement (ECGS, Cat.# 1052), 800 units/ml of heparin (Sigma, cat# H3393), 100 units/ml penicillin G sodium and 100 mcg/ml streptomycin sulfate. HA were cultured in Poly-d-Lysine pre-coated flasks (3 μg/cm2) with Dulbecco’s modified essential medium (DMEM-F12) supplemented with 2mM glutamine, 5% fetal bovine serum (FBS), 100 units of penicillin G sodium per ml, and 100 μg of streptomycin sulfate per ml.
Smooth muscle cells medium (SMCM; cat# 1101) consists of 500 ml of basal medium, 10 ml of fetal bovine serum (FBS, Cat. No. 0010), 5 ml of smooth muscle cell growth supplement (SMCGS, Cat. No. 1152) and 5 ml of penicillin/streptomycin solution (P/S, Cat. No. 0503). Cell cultures were maintained at 37°C in a humidified atmosphere with 5% CO2. Cellular growth was monitored every day by inspection with phase contrast microscopy. To minimize the dedifferentiation process cell cultures were expanded for no more than two cycles.
Brain primary EC and astrocytes were initially cultured in the DIV-capillary modules, as previously described . However, this iteration of the DIV-BBB consists of 3 hollow polypropylene fibers inside a sealed chamber (the extraluminal space or ECS) accessible by ports. The system allows to reproducing the hemodynamic characteristics (shear stress and blood pressure) of the corresponding vascular segment in vivo. Flow was channeled through the bundle of artificial capillaries by gas permeable silicon tubing that allows for the exchange of O2 and CO2. A pump (CellMax® QUAD Artificial Capillary Cell Culture System, Spectrum Laboratories Inc. CA) feeding the system generates pulsatile high velocity flow and systolic blood pressure (which may range from 80 to 300mmHg) within the silicon tubing, thereby mimicking a pattern of intravascular perfusion comparable to that of physiological blood flow in vivo . The luminal surface of the hollow fiber was pre-coated with 3 μg/cm2 of fibronectin to facilitate endothelial cells adhesion. The abluminal surface was instead pre-coated with 3 μg/cm2 of poly-D-lysine to allow for astrocytes adhesion. The fibers used for capillary vs. venule modules were the same. TEER was measured by a set of electrodes connected to the TEER readout apparatus (Flocel, Inc.).
Endothelial cells were first inoculated into the luminal compartment and allowed to adhere under static conditions over a 24-hr period. In order to achieve higher levels of cell attachment, the flow path was temporarily canalized through the extra-capillary space. Astrocytes were seeded on the abluminal surface of the fibers 24 hours after the initial loading of the endothelial cells. Following astrocytes seeding, the intraluminal flow was re-established and the vascular endothelium was initially exposed to a low level shear stress (1 dyne/cm2) for 24 hours.
The venules module consisted of 19 hollow fibers (instead of 3). The higher number of artificial capillaries allowed us to mimic the intramural pressure and vascular shear stress found in the corresponding cerebrovascular segment  once the module was serially connected (downstream) to the capillary unit (see Figure 1A and B). The venular hollow fibers were pre-coated (lumen and ablumen) with fibronectin (3μg/cm2) to facilitate the adhesion of endothelial cell (in the lumen) and that of HVSM (ablumen). The DIV-venules was then separately exposed to an initial intraluminal shear stress of 1 dyne/cm2 for 24 hours prior attachment to the capillary module. Flow was then gradually adjusted to reach the physiological levels of shear stress and intramural pressure in vivo.
Capillary and venules vascular integrity was monitored in real time by a computer-controlled TEER measurement system (Flocel Inc., Cleveland, OH 44103). This device utilizes electronic multiplexing to reliably measure the TEER in multiple cartridges/modules in quick succession [54, 55]. The device interfaced directly to a PC computer via Universal Serial Bus (USB). As previously described, (see also vendor site) the system applies an excitation voltage (0.06 V) across the excitation electrodes inserted in each cartridge in the luminal and extraluminal compartments. A microcontroller computes the resistivity and capacitance per cm2 of the vascular bed from physical parameters. The values of capacitance are automatically calculated by comparison of the voltage and current waveforms. TEER was measured continuously from the initial setup throughout the course of each experiment. Previous work in our laboratory [40, 55, 56] showed a direct (inverse) relationship between TEER and vascular permeability.
Drug Permeability in capillary and venules modules: uptake of [14C]-phenytoin, [14C]-diazepam and [3H]-sucrose
Boluses (0.5 ml each) of the radioactive tracers [3H]-sucrose (Amersham, Piscataway – NJ, Cat# TRA-332), [14C]-phenytoin (PerkinElmer, Boston – MA, Cat# NEC-246), and [14C]-diazepam (Amersham, Piscataway – NJ, Cat# CFA-591) were injected upstream (before the flow enters the capillary module) into the lumen as described previously . The diffusion of the compounds through the vascular bed into the extracapillary space of each segment of the DIV capillary-venules system was monitored over time while maintaining 1 mL/min intraluminal perfusion rate. A total of 1 μCi per compound was used. Samples were simultaneously taken from the lumen and the ECS (100 μL each) of each module as previously described , at time zero (immediately after the injection) and at 1, 5, 10, 15, and 20 min post injection. The luminal samples were collected downstream of each module (where the media leave the cartridge to enter the silicon tubing). Samples were then introduced into vials with 4 mL of Ready Protein Beckman scintillation cocktail (Packard Ultima Gold, ECN, Costa Mesa, CA, USA). Radioactivity was counted with an LS 6500 scintillation counter (Beckman). Permeability across the vascular bed of each module was calculated by graphical integration of drug concentration in the corresponding lumen and ECS over 20 min. Permeability for a given compound in “single pass” experiments was calculated as described elsewhere . In brief, the permeability values were obtained by integrating the area under the ECS and lumen data points (AUC) according to the final equation described below.
In this equation (derived from Fick’s Law) C ECS (t) and C ECS (0) are the extraluminal space concentrations of the compound x, at time zero (0) and time (t) = 20 minutes. This time interval was chosen to minimize the contribution of drug reperfusion. V ECS is the volume of the abluminal space (1.33 and 1.15 cm3 in the capillary and venule modules respectively); A is the capillary surface area (= 2.1 and 13.5 cm2 in the capillary and venule modules respectively). To obtain the P value in cm/sec we have divided by 60.
Note that the integral of luminal and ECS values vary only as function of time since the driving force for drug transfer is not (in this equation) concentration dependent. Furthermore, the diffusion of the drug is independent from the dimension of the units of measurement and the same permeability values (in cm/sec) is obtained whether using molar concentration (M) or counts per minute (cpm) units. The permeability results for each compound were then compared to the octanol-water partition coefficient (XLogP)  reported for the specific substance (PubChem) to establish a comparative relation between permeability and lipophilicity.
Intramural pressure and waveform geometry of flow passing through each module (capillary and post-capillary) were assessed by four-channel BioTRans2 pressure amplifier (Flocel Inc., Cleveland, OH 44103) connected to 4 independent BioTrans2 pressure transducers. Each transducer was attached to the corresponding inlet and outlet intraluminal sampling ports (ILS port) of each module (see Figure 1A). After a fixed period of 2 minutes (necessary to stabilize the pressure fluctuation), the pulsatile flow patterns were measured and recorded for 60 seconds. The system was connected to an Axon Digitizer (Digidata1322A; Molecular Devices, Inc. Sunnyvale, CA 94089) that functioned as an active interface between the four-channel BioTRans2 pressure amplifier and the computer used for data acquisition.
Glucose and lactate measurement
Glucose consumption and lactate production were determined via a dual-channel immobilized oxidase enzyme analyzer (YSI 2700 SELECT; YSI Inc., Yellow Springs, OH) in medium samples collected from the capillary and venule modules. Daily assessment of the oxidase enzyme membrane integrity was made according to manufacturer recommendations. The sampling protocol was set to recalibrate the machine every six samples as multiple samples were analyzed in the same run. Samples were kept frozen after being collected and processed later simultaneously.
BBB “opening” by hyperosmolar mannitol
Infusion of 2 ml of growth medium containing mannitol (1.6M) was used to osmotically open the endothelial layer forming the vascular bed of the capillary and post-capillary segments respectively . The mannitol solution was prepared under sterile conditions and injected intraluminally at a perfusion rate of 1 ml/min (total perfusion time was 120 sec). TEER was monitored in real time in both capillary and venule modules for the duration of the experiment to assess for loss of vascular integrity (opening) and recovery. Osmotic opening via hyperosmolar mannitol injections is a clinical procedure used to facilitate the passage of chemotherapic drugs across the BBB into the CNS for the treatment of malignant brain tumors .
For parametric variables (e.g., TEER levels, glucose consumption, lactate production), differences between populations were analyzed by ANOVA. P values <0.05 were considered statistically significant. Repeated measure ANOVA was performed by JPM software of time-lapse experiments. No differences in significance were found compared to one way ANOVA. Bonferroni analysis was used to account for comparisons of multiple parameters among groups. Based upon previous experience each experiment was repeated in triplicate. This was sufficient to demonstrate statistical significance for positive findings.
DA029121 and Alternative Research Development Foundation (A.R.D.F.) to Dr. Luca Cucullo and 1UH2NS080701, NS43284, NS38195, HD057256, NS074621 to Dr. Damir Janigro supported this work
- Abbott NJ, Patabendige AA, Dolman DE, Yusof SR, Begley DJ: Structure and function of the blood–brain barrier. Neurobiol Dis. 2010, 37: 13-25. 10.1016/j.nbd.2009.07.030.View ArticlePubMedGoogle Scholar
- Cucullo L, Marchi N, Hossain M, Janigro D: A dynamic in vitro BBB model for the study of immune cell trafficking into the central nervous system. J Cereb Blood Flow Metab. 2011, 31: 767-777. 10.1038/jcbfm.2010.162.PubMed CentralView ArticlePubMedGoogle Scholar
- Ghosh C, Marchi N, Hossain M, Rasmussen P, Alexopoulos AV, Gonzalez-Martinez J: A pro-convulsive carbamazepine metabolite: quinolinic acid in drug resistant epileptic human brain. Neurobiol Dis. 2012, 46: 692-700. 10.1016/j.nbd.2012.03.010.PubMed CentralView ArticlePubMedGoogle Scholar
- Abbott NJ: Astrocyte-endothelial interactions and blood–brain barrier permeability. J Anat. 2002, 200: 629-638. 10.1046/j.1469-7580.2002.00064.x.PubMed CentralView ArticlePubMedGoogle Scholar
- Grant GA, Janigro D: The blood–brain barrier. In Youmans Neurological Surgery. Volume 1. Edited by: Winn HR. 2010, Philadelphia, PA: SaundersGoogle Scholar
- Abbott NJ, Ronnback L, Hansson E: Astrocyte-endothelial interactions at the blood–brain barrier. Nat Rev Neurosci. 2006, 7: 41-53. 10.1038/nrn1824.View ArticlePubMedGoogle Scholar
- Liberto CM, Albrecht PJ, Herx LM, Yong VW, Levison SW: Pro-regenerative properties of cytokine-activated astrocytes. J Neurochem. 2004, 89: 1092-1100. 10.1111/j.1471-4159.2004.02420.x.View ArticlePubMedGoogle Scholar
- Arisaka T, Mitsumata M, Kawasumi M, Tohjima T, Hirose S, Yoshida Y: Effects of shear stress on glycosaminoglycan synthesis in vascular endothelial cells. Ann N Y Acad Sci. 1995, 748: 543-554.View ArticlePubMedGoogle Scholar
- Ballermann BJ, Dardik A, Eng E, Liu A: Shear stress and the endothelium. Kidney Int Suppl. 1998, 67: S100-S108.View ArticlePubMedGoogle Scholar
- Desai SY, Marroni M, Cucullo L, Krizanac-Bengez L, Mayberg MR, Hossain MT: Mechanisms of endothelial survival under shear stress. Endothelium. 2002, 9: 89-102. 10.1080/10623320212004.View ArticlePubMedGoogle Scholar
- Ando J, Yamamoto K: Vascular mechanobiology: endothelial cell responses to fluid shear stress. Circ J. 2009, 73: 1983-1992. 10.1253/circj.CJ-09-0583.View ArticlePubMedGoogle Scholar
- Traub O, Berk BC: Laminar shear stress: mechanisms by which endothelial cells transduce an atheroprotective force. Arterioscler Thromb Vasc Biol. 1998, 18: 677-685. 10.1161/01.ATV.18.5.677.View ArticlePubMedGoogle Scholar
- 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: 40-10.1186/1471-2202-12-40.PubMed CentralView ArticlePubMedGoogle Scholar
- Chretien ML, Zhang M, Jackson MR, Kapus A, Langille BL: Mechanotransduction by endothelial cells is locally generated, direction-dependent, and ligand-specific. J Cell Physiol. 2010, 224: 352-361. 10.1002/jcp.22125.View ArticlePubMedGoogle Scholar
- Akimoto S, Mitsumata M, Sasaguri T, Yoshida Y: Laminar shear stress inhibits vascular endothelial cell proliferation by inducing cyclin-dependent kinase inhibitor p21(Sdi1/Cip1/Waf1). Circ Res. 2000, 86: 185-190. 10.1161/01.RES.86.2.185.View ArticlePubMedGoogle Scholar
- Krizanac-Bengez L, Mayberg MR, Cunningham E, Hossain M, Ponnampalam S, Parkinson FE: Loss of shear stress induces leukocyte-mediated cytokine release and blood–brain barrier failure in dynamic in vitro blood–brain barrier model. J Cell Physiol. 2006, 206: 68-77. 10.1002/jcp.20429.View ArticlePubMedGoogle Scholar
- Ando J, Kamiya A: Flow-dependent regulation of gene expression in vascular endothelial cells. Jpn Heart J. 1996, 37: 19-32. 10.1536/ihj.37.19.View ArticlePubMedGoogle Scholar
- Ballermann BJ, Ott MJ: Adhesion and differentiation of endothelial cells by exposure to chronic shear stress: a vascular graft model. Blood Purif. 1995, 13: 125-134. 10.1159/000170195.View ArticlePubMedGoogle Scholar
- Bishop JJ, Nance PR, Popel AS, Intaglietta M, Johnson PC: Diameter changes in skeletal muscle venules during arterial pressure reduction. Am J Physiol Heart Circ Physiol. 2000, 279: H47-H57.PubMedGoogle Scholar
- Ge S, Song L, Pachter JS: Where is the blood–brain barrier … really?. J Neurosci Res. 2005, 79: 421-427. 10.1002/jnr.20313.View ArticlePubMedGoogle Scholar
- Nagy Z, Peters H, Huttner I: Fracture faces of cell junctions in cerebral endothelium during normal and hyperosmotic conditions. Lab Invest. 1984, 50: 313-322.PubMedGoogle Scholar
- Kutcher ME, Herman IM: The pericyte: cellular regulator of microvascular blood flow. Microvasc Res. 2009, 77: 235-246. 10.1016/j.mvr.2009.01.007.PubMed CentralView ArticlePubMedGoogle Scholar
- Ganong WF: Circulation through special regions. Review of medical physiology. Edited by: Ganong WF. 1999, Stamford, Conn: Appleton & Lange, 596-9Google Scholar
- Marchi N, Betto G, Fazio V, Fan Q, Ghosh C, Machado A: Blood–brain barrier damage and brain penetration of antiepileptic drugs: Role of serum proteins and brain edema. Epilepsia. 2009, 50: 664-677. 10.1111/j.1528-1167.2008.01989.x.PubMed CentralView ArticlePubMedGoogle Scholar
- Cucullo L, Couraud PO, Weksler B, Romero IA, Hossain M, Rapp E: Immortalized human brain endothelial cells and flow-based vascular modeling: a marriage of convenience for rational neurovascular studies. J Cereb Blood Flow Metab. 2008, 28: 312-328. 10.1038/sj.jcbfm.9600525.View ArticlePubMedGoogle Scholar
- Marchi N, Teng Q, Nguyen MT, Franic L, Desai NK, Masaryk T: Multimodal investigations of trans-endothelial cell trafficking under condition of disrupted blood–brain barrier integrity. BMC Neurosci. 2010, 11: 34-10.1186/1471-2202-11-34.PubMed CentralView ArticlePubMedGoogle Scholar
- Rapoport SI: Advances in osmotic opening of the blood–brain barrier to enhance CNS chemotherapy. Expert Opin Investig Drugs. 2001, 10: 1809-1818. 10.1517/135437184.108.40.2069.View ArticlePubMedGoogle Scholar
- Rapoport SI: Osmotic opening of the blood–brain barrier: principles, mechanism, and therapeutic applications. Cell Mol Neurobiol. 2000, 20: 217-230. 10.1023/A:1007049806660.View ArticlePubMedGoogle Scholar
- Abbott NJ, Khan EU, Rollinson CM, Reichel A, Janigro D, Dombrowski SM: Drug resistance in epilepsy: the role of the blood–brain barrier. Novartis Found Symp. 2002, 243: 38-47.View ArticlePubMedGoogle Scholar
- Janigro D: Are you in or out? Leukocyte, ion, and neurotransmitter permeability across the epileptic blood–brain barrier. Epilepsia. 2012, 53: 26-34.PubMed CentralView ArticlePubMedGoogle Scholar
- Krizanac-Bengez L, Mayberg MR, Janigro D: The cerebral vasculature as a therapeutic target for neurological disorders and the role of shear stress in vascular homeostatis and pathophysiology. Neurol Res. 2004, 26: 846-853. 10.1179/016164104X3789.View ArticlePubMedGoogle Scholar
- Man S, Tucky B, Bagheri N, Li X, Kochar R, Ransohoff RM: alpha4 Integrin/FN-CS1 mediated leukocyte adhesion to brain microvascular endothelial cells under flow conditions. J Neuroimmunol. 2009, 210: 92-99. 10.1016/j.jneuroim.2009.03.008.PubMed CentralView ArticlePubMedGoogle Scholar
- Vajkoczy P, Laschinger M, Engelhardt B: Alpha4-integrin-VCAM-1 binding mediates G protein-independent capture of encephalitogenic T cell blasts to CNS white matter microvessels. J Clin Invest. 2001, 108: 557-565.PubMed CentralView ArticlePubMedGoogle Scholar
- Neuhaus W, Lauer R, Oelzant S, Fringeli UP, Ecker GF, Noe CR: A novel flow based hollow-fiber blood–brain barrier in vitro model with immortalised cell line PBMEC/C1-2. J Biotechnol. 2006, 125: 127-141. 10.1016/j.jbiotec.2006.02.019.View ArticlePubMedGoogle Scholar
- Redmond EM, Cahill PA, Sitzmann JV: Perfused transcapillary smooth muscle and endothelial cell co-culture–a novel in vitro model. In Vitro Cell Dev Biol Anim. 1995, 31: 601-609. 10.1007/BF02634313.View ArticlePubMedGoogle Scholar
- Sinclair CJ, Krizanac-Bengez L, Stanness KA, Janigro D, Parkinson FE: Adenosine permeation of a dynamic in vitro blood–brain barrier inhibited by dipyridamole. Brain Res. 2001, 898: 122-125. 10.1016/S0006-8993(01)02175-8.View ArticlePubMedGoogle Scholar
- Stanness KA, Guatteo E, Janigro D: A dynamic model of the blood–brain barrier "in vitro". Neurotoxicology. 1996, 17: 481-496.PubMedGoogle Scholar
- Stanness KA, Westrum LE, Fornaciari E, Mascagni P, Nelson JA, Stenglein SG: Morphological and functional characterization of an in vitro blood–brain barrier model. Brain Res. 1997, 771: 329-342. 10.1016/S0006-8993(97)00829-9.View ArticlePubMedGoogle Scholar
- Stanness KA, Neumaier JF, Sexton TJ, Grant GA, Emmi A, Maris DO: A new model of the blood–brain barrier: co-culture of neuronal, endothelial and glial cells under dynamic conditions. Neuroreport. 1999, 10: 3725-3731. 10.1097/00001756-199912160-00001.View ArticlePubMedGoogle Scholar
- Cucullo L, Hossain M, Rapp E, Manders T, Marchi N, Janigro D: Development of a humanized in vitro blood–brain barrier model to screen for brain penetration of antiepileptic drugs. Epilepsia. 2007, 48: 505-516. 10.1111/j.1528-1167.2006.00960.x.View ArticlePubMedGoogle Scholar
- Marroni M, Marchi N, Cucullo L, Abbott NJ, Signorelli K, Janigro D: Vascular and parenchymal mechanisms in multiple drug resistance: a lesson from human epilepsy. Curr Drug Targets. 2003, 4: 297-304. 10.2174/1389450033491109.View ArticlePubMedGoogle Scholar
- Koutsiaris AG, Tachmitzi SV, Batis N, Kotoula MG, Karabatsas CH, Tsironi E: Volume flow and wall shear stress quantification in the human conjunctival capillaries and post-capillary venules in vivo. Biorheology. 2007, 44: 375-386.PubMedGoogle Scholar
- Walker MC, Alavijeh MS, Shorvon SD, Patsalos PN: Microdialysis study of the neuropharmacokinetics of phenytoin in rat hippocampus and frontal cortex. Epilepsia. 1996, 37: 421-427. 10.1111/j.1528-1157.1996.tb00586.x.View ArticlePubMedGoogle Scholar
- Davson H, Segal MB: Blood–brain barrier. Physiology of the CSF and blood–brain barriers. Edited by: Davson H, Segal MB. 1996, Boca Raton, FL: CRC, 49-91.Google Scholar
- Man S, Ubogu EE, Ransohoff RM: Inflammatory cell migration into the central nervous system: a few new twists on an old tale. Brain Pathol. 2007, 17: 243-250. 10.1111/j.1750-3639.2007.00067.x.View ArticlePubMedGoogle Scholar
- Kroll RA, Neuwelt EA: Outwitting the blood–brain barrier for therapeutic purposes: Osmotic opening and other means. Neurosurgery. 1998, 42: 1083-1099. 10.1097/00006123-199805000-00082.View ArticlePubMedGoogle Scholar
- Siegal T, Rubinstein R, Bokstein F, Schwartz A, Lossos A, Shalom E: In vivo assessment of the window of barrier opening after osmotic blood–brain barrier disruption in humans. J Neurosurg. 2000, 92: 599-605. 10.3171/jns.2000.92.4.0599.View ArticlePubMedGoogle Scholar
- Tsai AG, Johnson PC, Intaglietta M: Oxygen gradients in the microcirculation. Physiol Rev. 2003, 83: 933-963.View ArticlePubMedGoogle Scholar
- Yaseen MA, Srinivasan VJ, Sakadzic S, Radhakrishnan H, Gorczynska I, Wu W: Microvascular oxygen tension and flow measurements in rodent cerebral cortex during baseline conditions and functional activation. J Cereb Blood Flow Metab. 2011, 31: 1051-1063. 10.1038/jcbfm.2010.227.PubMed CentralView ArticlePubMedGoogle Scholar
- Hamilton NB, Attwell D, Hall CN: Pericyte-mediated regulation of capillary diameter: a component of neurovascular coupling in health and disease. Front Neuroenergetics. 2010, 2.Google Scholar
- Hori S, Ohtsuki S, Hosoya K, Nakashima E, Terasaki T: A pericyte-derived angiopoietin-1 multimeric complex induces occludin gene expression in brain capillary endothelial cells through Tie-2 activation in vitro. J Neurochem. 2004, 89: 503-513. 10.1111/j.1471-4159.2004.02343.x.View ArticlePubMedGoogle Scholar
- Liu S, Agalliu D, Yu C, Fisher M: The role of pericytes in blood–brain barrier function and stroke. Curr Pharm Des. 2012, 18: 3653-3662. 10.2174/138161212802002706.View ArticlePubMedGoogle Scholar
- Janigro D, Leaman SM, Stanness KA: Dynamic modeling of the blood–brain barrier: a novel tool for studies of drug delivery to the brain. Pharm Sci Technol Today. 1999, 2: 7-12. 10.1016/S1461-5347(98)00110-2.View ArticlePubMedGoogle Scholar
- Cucullo L, McAllister MS, Kight K, Krizanac-Bengez L, Marroni M, Mayberg MR: A new dynamic in vitro model for the multidimensional study of astrocyte-endothelial cell interactions at the blood–brain barrier. Brain Res. 2002, 951: 243-254. 10.1016/S0006-8993(02)03167-0.View ArticlePubMedGoogle Scholar
- Santaguida S, Janigro D, Hossain M, Oby E, Rapp E, Cucullo L: Side by side comparison between dynamic versus static models of blood–brain barrier in vitro: a permeability study. Brain Res. 2006, 1109: 1-13. 10.1016/j.brainres.2006.06.027.View ArticlePubMedGoogle Scholar
- McAllister MS, Krizanac-Bengez L, Macchia F, Naftalin RJ, Pedley KC, Mayberg MR: Mechanisms of glucose transport at the blood–brain barrier: an in vitro study. Brain Res. 2001, 904: 20-30. 10.1016/S0006-8993(01)02418-0.View ArticlePubMedGoogle Scholar
- Cheng T, Zhao Y, Li X, Lin F, Xu Y, Zhang X: Computation of octanol-water partition coefficients by guiding an additive model with knowledge. J Chem Inf Model. 2007, 47: 2140-2148. 10.1021/ci700257y.View ArticlePubMedGoogle Scholar
- Brown RC, Egleton RD, Davis TP: Mannitol opening of the blood–brain barrier: regional variation in the permeability of sucrose, but not 86Rb+ or albumin. Brain Res. 2004, 1014: 221-227. 10.1016/j.brainres.2004.04.034.View ArticlePubMedGoogle Scholar
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