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. Author manuscript; available in PMC: 2019 Sep 27.
Published in final edited form as: Curr Top Membr. 2018 Sep 27;82:93–140. doi: 10.1016/bs.ctm.2018.08.006

Endothelial Protrusions in Junctional Integrity and Barrier Function

Natascha G Alves 1, Zeinab Y Motawe 1, Sarah Y Yuan 1, Jerome W Breslin 1
PMCID: PMC6442684  NIHMSID: NIHMS1018500  PMID: 30360784

Abstract

Endothelial cells of the microcirculation form a semi-permeable diffusion barrier between the blood and tissues. This permeability of the endothelium, particularly in the capillaries and postcapillary venules, is a normal physiological function needed for blood-tissue exchange in the microcirculation. During inflammation, microvascular permeability increases dramatically and can lead to tissue edema, which in turn can lead to dysfunction of tissues and organs. The molecular mechanisms that control the barrier function of endothelial cells have been under investigation for several decades, and remain an important topic due to the potential for discovery of novel therapeutic strategies to reduce edema. This review highlights current knowledge of the cellular and molecular mechanisms that lead to endothelial hyperpermeability during inflammatory conditions associated with injury and disease. This includes a discussion of recent findings demonstrating temporal protrusions by endothelial cells that may contribute to intercellular junction integrity between endothelial cells and affect the diffusion distance for solutes via the paracellular pathway.

1. INTRODUCTION

Microvascular permeability is a normal physiological function of the circulatory system required for delivery of fluids and nutrients to the tissues of the body. The microvascular wall is composed of endothelial cells, along with the endothelial glycocalyx, basement membrane, and some accessory cells, which collectively form a tight and selective barrier. Disruption of endothelial barrier function is a hallmark of vascular inflammation in several pathological and injury conditions such as trauma, ischemia-reperfusion injury, sepsis, diabetes, and cancer. During such pathological conditions, changes in the structural conformation of the endothelial cells can be caused by inflammatory mediators such as histamine, bradykinin, and platelet activating factor, cytokines such as vascular endothelial growth factor (VEGF), metabolic factors like ATP, and activated neutrophils, collectively leading to higher permeability of the microvascular wall (Durán et al., 2008). Elevated microvascular permeability results in increased leakage of fluids and plasma proteins to the extravascular space. In turn, their accumulation in the interstitium leads to tissue swelling, or edema. If edema formation becomes uncontrolled, the complications from the exacerbated inflammatory response can lead to additional tissue injury and organ failure (Yuan & Rigor, 2010).

Acute respiratory distress syndrome is an example of such an pathological, edematous state, with mortality rates ranging from 26 to 58% (Ranieri et al., 2012). The endothelial barrier dysfunction may result from infectious or sterile inflammatory stimulation, such as pneumonia or mechanical ventilators, respectively. It is generally thought that at the cellular and molecular level, the microvascular hyperpermeability is due to compromised endothelial cell-cell adhesion properties, as we will explore in this chapter.

In the following sections, we will review what is known about the control of microvascular permeability, focusing on cell-cell contact and junctional protein integrity. After a summary of the current available protocols to study endothelial barrier function, we will explore the responses of the endothelial barrier to injury and diseases. Finally, we will show evidence supporting that endothelial protrusions and local lamellipodia contribute to endothelial barrier function.

2. DETERMINANTS OF ENDOTHELIAL BARRIER FUNCTION

Under physiological conditions, passage of fluids and solutes across the endothelial barrier can occur via a combination of transcellular or paracellular pathways. In both cases, an active role for the endothelial cells is implied. Transcytotic pathways require energy for vesicle formation and passage. Paracellular junctions must be formed and continually maintained in an environment where there are constant stresses that could potentially cause intercellular adhesions to fail.

The transcellular pathway is thought to mediate the normal, physiological transport of macromolecules across the endothelium. Morphological data from several reports supports a process involving formation of endocytotic vesicles that can trap albumin and other plasma proteins at the luminal membrane, followed by transcytosis across the cell, and exocytosis at the basal membrane (Jennings & Florey, 1967; Bruns & Palade, 1968; Johansson, 1979; Clough & Michel, 1981; Simionescu & Simionescu, 1984; Yuan & Rigor, 2010). This process is likely mediated by caveolae, which are lipid raft microdomains that form invaginations in the plasma membrane, and by vesiculo-vacuolar organelles, which can fuse with trafficking vesicles and form transcellular pores, spanning the cell interior (Feng et al., 1996; Mehta & Malik, 2006).

The paracellular pathway is thought to mediate transport of water and solutes ranging from ions to macromolecules. Paracellular passage occurs through the junctional clefts between endothelial cells, which contain a fibrous matrix of proteins that act as a molecular sieve that can exclude solutes based on size or charge (Chambers & Zweifach, 1947; Curry & Michel, 1980). Increased microvascular permeability to plasma proteins under acute inflammatory or pathophysiological conditions is thought to be due in large part to opening of the paracellular pathway (Majno & Palade, 1961). This route also serves as a migration path for pathogens, leukocytes and even metastatic tumor cells (Shen et al., 2009). Interendothelial junctional proteins are responsible for cell-cell adhesion and barrier “tightness”, conferring the control of paracellular permeability. Two families of junctional proteins present in the microvascular endothelium corresponding to the classical adherens junctions (AJ) and tight junctions (TJ) are present. The AJ proteins are thought to be the major determinants of endothelial barrier, due to findings that selective disruption of the normal junctional organization of the AJ protein vascular-endothelial cadherin (VE-cadherin) results in systemic microvascular permeability (Corada et al., 1999; Corada et al., 2001). The extracellular domain of a VE-cadherin molecule expressed on one cell forms a homotypic bond with the extracellular domain of another VE-cadherin molecule expressed on the membrane of an adjacent endothelial cell, binding them together. VE-cadherin molecules connect intracellularly to the actin cytoskeleton using catenins as linkers, including β-catenin (Yuan & Rigor, 2010). TJ proteins include claudins, occludins and junction adhesion molecule (JAM), and these connect to the actin cytoskeleton via the zona occludin-1 (ZO-1). The TJ proteins are also present in the peripheral microvasculature but are thought to be more prominently expressed in the microvascular endothelium of the blood-brain and the blood-retinal barriers (Hawkins & Davis, 2005).

The basal side of the endothelium is connected to the extracellular matrix by protein complexes called focal adhesions that are composed of integrins. The focal adhesions also connect intracellularly to the cytoskeleton via the linker proteins including focal adhesion kinase, talin, paxillin, and vinculin (Wu, 2005). The focal adhesions are an important component of endothelial barrier as they help form a tight connection between endothelial cells and their substratum. Focal adhesions also help coordinate migration and crawling movements of endothelial cells in their basal plane while maintaining barrier integrity.

The elevation in microvascular permeability during inflammation is due to the specific binding of inflammatory mediators to their cognate receptors on endothelial cells, which activates a coordinated cellular response. Several of the initial molecular signaling mechanisms often termed “second messengers” include the cascades involving elevations in intracellular free calcium (He et al., 1990; Bates & Curry, 1997; Pocock et al., 2000; Sandoval et al., 2001a; Sandoval et al., 2001b; Glass et al., 2005) and activation of protein kinase C isoforms (Johnson et al., 1990; Lynch et al., 1990; Murray et al., 1991; Kobayashi et al., 1994; Huang & Yuan, 1997; Yuan et al., 2000; Aramoto et al., 2004; Pocock et al., 2004; Tinsley et al., 2004a; Tinsley et al., 2005; Gaudreault et al., 2008; Rigor et al., 2012). Downstream signals such as eNOS-mediated NO release, cGMP production by guanylate cyclase, and PKG activation have also been implicated (Yuan et al., 1992; Yuan et al., 1993b; Wu et al., 1996; Varma et al., 2002; Breslin et al., 2003; Sanchez et al., 2006; Durán et al., 2008; Sánchez et al., 2009; Duran et al., 2010; Sánchez et al., 2011). Other notable signaling pathways that contribute to microvascular hyperpermeability include activation of Src (Eliceiri et al., 1999; Kevil et al., 2001; Paul et al., 2001; Tinsley et al., 2002) and the MAP kinase cascades including ERK-1/2 and p38 MAP kinase (Kevil et al., 1998; Kevil et al., 2000; Verin et al., 2000; Becker et al., 2001; Lal et al., 2001; Garcia et al., 2002; Nwariaku et al., 2002; Varma et al., 2002; Breslin et al., 2003; Aramoto et al., 2004; Wu et al., 2005; Yu et al., 2005a; Adderley et al., 2015a; Adderley et al., 2015b). Additional signaling molecules that more directly impact the activity and conformation of the actin cytoskeleton have also been shown to have importance. These include myosin light chain (MLC) kinase (MLCK) and RhoA/ROCK signaling, which control myosin activity (Moy et al., 1993; Sheldon et al., 1993; Garcia et al., 1995; Verin et al., 1995; Yuan et al., 1997; Garcia et al., 1999; Tinsley et al., 2000; Yuan et al., 2002; Huang et al., 2003; Birukova et al., 2004; Breslin & Yuan, 2004; Tinsley et al., 2004b; Breslin et al., 2006; Reynoso et al., 2007; Kumar et al., 2009; Dudek et al., 2010; Beard et al., 2014). The balance of activities among members of the Rho family of small GTPases such as RhoA, Rac1, and Cdc42 have also been shown to be of importance for both disruption and stabilization of the endothelial barrier (Waschke et al., 2004a; Waschke et al., 2004b; Waschke et al., 2006; Baumer et al., 2008a; Schlegel et al., 2009; Schlegel & Waschke, 2009; Spindler et al., 2010; Breslin et al., 2015; Breslin et al., 2016; Zhang et al., 2016). In addition, there is increasing evidence that in addition to phosphorylation, other posttranslational modifications such as S-nitrosation of junctional proteins (Marin et al., 2012; Sánchez et al., 2013; Guequén et al., 2016), or specific palmitoylation of PKCβ by palmitoyl acyltransferase DHHC21 (Beard et al., 2016) can lead to elevated microvascular leakage.

Ultimately the molecular signals converge to determine the integrity of junctions between endothelial cells. This is dependent upon the strength of the adhesions between adjacent cells, and the tension developed by the individual cytoskeletal networks of each cell. An increase in endothelial cell tension has been recorded after the administration of inflammatory mediators that also produce MLC phosphorylation, actin stress fiber formation, and endothelial barrier function (Goeckeler & Wysolmerski, 1995; Moy et al., 1996; Moy et al., 2002; Breslin et al., 2006), which would be expected to put strain on intercellular junctions and open junctional clefts. In addition, a certain degree of basal tension within cells may cause cellular retraction if conformational changes in junctional proteins cause a decrease in adhesiveness, resulting in junctional cleft opening (Ingber, 2003; Kumar et al., 2006; Luo et al., 2008). In relation to this our laboratory has explored the temporal and fluid behavior of adhesions between endothelial cells as the push and pull against each other in a monolayer. One surprising finding, was temporary endothelial protrusions we have termed local lamellipodia as contributors to maintenance of endothelial barrier function (Breslin et al., 2015). By studying these dynamic structures, we have been able to delineate the dynamic interaction between the cellular membrane and the actin cytoskeleton and how these interactions lead to elevated permeability in response to inflammatory conditions. In the next sections we will provide an overview of the models used to study endothelial barrier function, followed by current knowledge of the cellular and molecular mechanisms leading to endothelial barrier dysfunction in different models of injury or disease, and finally how our most recent findings pertaining to endothelial junctional dynamics may help with development of new therapeutic strategies for reducing microvascular leakage.

3. METHODS TO STUDY ENDOTHELIAL BARRIER FUNCTION

A variety of methods to study endothelial barrier function have been formulated over the past century and refined in the past few decades. With to the continual expansion of studies endothelial permeability in new contexts, encompassing multiple disease models and organs, choice of the most appropriate and relevant way to determine permeability or other indices of barrier function will help avoid potential pitfalls or inaccuracies. In this section we will review several common methods to study endothelial barrier function, illustrating the advantages and disadvantages of each method.

3.1. Measurement of Protein Leakage: Evans Blue Assay

Evans blue dye (EBD) is a commonly used marker for measuring plasma volume and also for the study of microvascular leakage in animal models. EBD binds strongly to albumin, is not metabolically active, and its plasma concentration remains relatively constant within the first few hours following intravenous injection (Yen et al., 2013; Wang & Lai, 2014). It has long been used as a marker for albumin extravasation. In the brain, its leakage into the parenchyma is considered an indication of blood-brain barrier (BBB) disruption (Wang & Lai, 2014). EBD assays have proven reliable for determining gross microvascular leakage in many models and organs including the brain and lung (Yen et al., 2013; Beard et al., 2016). The classical methodology of this assay is that EBD is injected intravenously then tissue is collected, proteins are lysed and homogenized before checking the absorbance at 620 nm. Alternatively dye distribution in section tissues can be observed and measured under transmitted light or epifluorescence microscopy (Borlongan et al., 2004; Garbuzova-Davis et al., 2013). Additionally, in the Miles assay which tests extravasation in the skin, gross dye levels can be observed visually on the skin surface (Miles & Miles, 1952). Despite the popularity of EBD, drawbacks with its use include: 1) potential effects of unbound dye on the analysis; 2) EBD can also bind other proteins other than albumin; 3) the affinity of EBD differs also according to the tissue; and 4) concerns of toxicity in certain animals (Saunders et al., 2015). Lastly, the biggest general drawback to EBD assays is that the endpoint is typically only a crude measurement of extravasation, and finer endpoints such plasma filtration or solute permeability cannot be obtained (Durán et al., 2008).

3.2. Determination of the capillary filtration coefficient (Kf) in whole organs

This method, which is popular for estimating lung edema, is a gravimetric approach based on the Starling-Landis equation, in which the rate of change in interstitial fluid volume is related to the change in microvascular pressure (Dongaonkar et al., 2011). The increase in interstitial fluid volume can be determined from measurement of the tissue wet-to-dry ratio or the increase in organ weight to a steady state (Guyton & Lindsey, 1959; Drake et al., 1980). Some investigators favor continuous measurement of the weight gain over the steady state gravimetric technique in order to exclude the initial rapid filling of the vasculature from the calculations. The rate of fluid accumulation in the interstitial space is determined by dividing the change in interstitial fluid volume by the time needed to reach steady state or between time points, depending on which protocol is used. The Kf is estimated as the ratio of the rate of weight gain to the change in the microvascular pressure. These methods provide a fairly simple way to evaluate fluid imbalances. However, they do rely on the assumptions that interstitial fluid pressure is constant, and neglect interstitial compliance and the potential contribution of lymphatic resistance (Dongaonkar et al., 2011).

3.3. Intravital Microscopy

Intravital microscopy is widely used to view the microcirculation in vivo. Parameters such as changes in diameter, red blood cell velocity, and leukocyte rolling and adhesion along post-capillary venules can be recorded. The use of fluorescent tracers and epifluorescent illumination has enabled reliable measurement of microvascular leakage in a variety of tissues. An example from our recent work studying microvascular leakage in the rat mesentery is shown in Fig. 1. This procedure was performed in anesthetized rats that received intravenous administration of FITC-albumin, which is clearly visible inside the microvessels. Extravasation of this tracer was assessed by evaluating escape of the tracer into the surrounding tissues, which can be seen in Fig. 1B, where there are “hot spots” of FITC-albumin leakage. Methods to quantify the leakage include counting the number of “hot spots” or determining the integrated optical intensity (IOI) of extravascular regions near postcapillary venules. The IOI can be reliably used to estimate changes in permeability if there is no increase in local blood flow, which would increase capillary filtration. This can be evaluated by measuring local arteriolar diameter (Durán et al., 2008). The advantages of this technique are the ability to view microvascular leakage in an in vivo setting, and the ability to view changes in leakage over time or before and after a given stimulus. The main limitation with intravital microscopy, at least with conventional widefield and single photon excitation is that it can only be applied to semitransparent membranes that serve as natural windows, such as the rodent mesentery, cremaster muscle, and hamster cheek pouch (Yuan & Rigor, 2010). However, intravital microscopy using multiphoton excitation has proven useful for determining microvascular leakage in deeper tissues or through the skin (Egawa et al., 2013). As additional advances in deep tissue imaging become available, intravital microscopy will continue to be a very useful tool for studying microvascular leakage.

Fig. 1.

Fig. 1.

Example of the rat mesenteric microcirculation viewed by fluoresecence intravital microscopy. FITC-albumin served as the tracer, and is visible within the microvessels. Panels A and B show the microcirculation from a control rat (sham) and a rat that underwent a hemorrhagic shock and resuscitation procedure. The arrows in panel B show “hot spots” of leakage of FITC-albumin from the microvessels into the surrounding tissues. Adapted from (Doggett et al., 2017) with permission.

3.4. Single Microvessel and Isolated Microvessel Permeability Methods

While the aforementioned intravital microscopy methods are good for evaluating changes in microvascular leakage, there are protocols that allow for more precise determination of permeability in individual microvessels. One of these is the modified Landis technique to determine of hydraulic conductivity (Lp), essentially the microvascular wall’s permeability to water, which is reviewed in detail elsewhere (Michel, 1984). An additional method is to determine permeability coefficients of individual microvessels to fluorescently labeled solutes. A single microvessel must be cannulated to allow for infusion of the fluorescent tracer or a wash solution. The cannulation may be done on two upstream branches using two micropipettes, or with a single “theta” pipette that is loaded with both solutions (Huxley et al., 1987; Scallan & Huxley, 2010). This configuration allows for tracer wash-in and washout (Fig. 2). The initial step increase in fluorescence intensity (ΔIf0) in a measuring window that includes the microvessel and surrounding area, when taking into account vessel geometry based upon the radius r, corresponds to the concentration difference of the solute across the microvessel wall. Following this step increase, the slope of the gradual increase in intensity [(dIf/dt)0] reflects the flux of tracer across the microvessel wall into the surrounding space. These parameters can be used to determine permeability to the solute using Fick’s first law of diffusion (Fig. 2B).

Fig. 2.

Fig. 2.

Determination of permeability of a single-perfused microvessel. A. Schematic view of the cannulated microvessel, with an inflow pipette that allows perfusion with either a tracer solution or the wash solution, and a defined window for measuring fluorescence intensity in the microvessel and extravascular surrounding area. Note that this configuration can also work for isolated venules, although an outflow pipette is also needed. B. The fluorescence readings over time can be used to calculate permeability coefficients for the tracer molecules. When tracer is washed in, the step increase in fluorescence intensity (ΔIf) divided by the volume of the microvessel (V) represents the concentration of tracer in the vessel, and at this stage, the concentration difference across the microvessel wall. Following the step increase is a more gradual fluorescence intensity over time, and the slope of this increase, designated (dIf/dt)0, represents solute flux out of the microvessel. These parameters can be used to calculate the solute permeability coefficient (Ps) Fick’s first law of diffusion. Taking into account the vessel geometry, V divided by the surface area for diffusion becomes r/2, so that Ps = (1/ΔIf) × (dIf/dt)0 × (r/2). Adapted from (Yuan et al., 1993a; Durán et al., 2008) with permission.

Because some tissues are not amenable to intravital microscopy methods, such as cardiac venules, the single-perfused microvessel method was modified to an isolated, perfused model measuring in which the microvessel was mounted onto glass micropipettes (Yuan et al., 1992; Yuan et al., 1993a). Venules ranging from 20 to 70 μm diameter and ideally 1 mm long are manually dissected from the epicardium (or other tissues of interest), and mounted onto glass micropipettes containing an albumin physiological salt solution. Originally, a set of concentric pipettes was used to allow perfusion with either the tracer solution or wash solution (Yuan et al., 1992; Yuan et al., 1993a), although more recently a theta pipette was introduced (Scallan et al., 2013). The protocol for wash-in and washout of tracer is the same as for single-perfused microvessels, and Ps is calculated in the same way (Fig. 2). The advantage of this particular model is that the chemical composition of the bath, the transmural pressure, and the flow velocity can all be tightly controlled. A disadvantage of this method is that it requires direct manipulation of the microvessel, which can potentially affect its permeability (Durán et al., 2008).

3.5. Cultured Endothelial Cell Monolayer Diffusion Assays

Cultured endothelial cell monolayers are a popular model for determining endothelial permeability due to the fact that the contribution of these cells alone can be studied, and with advances in cell culture, the relative ease of the assays compared to the in vivo and isolated microvessel models. Many of the agents that have been used to produce hyperpermeability in vivo also enhance permeability of cultured endothelial cell monolayers (Durán et al., 2008; Duran et al., 2010). Protocols based upon Fick’s first law of diffusion utilize an endothelial cell monolayer grown on a porous membrane that is placed between two compartments. Ideally, the cells are grown for several days to allow for junctions to mature. Two basic configurations are used. There is a vertical configuration with an upper and lower chamber (Transwell assay), and a horizontal configuration (Ussing chamber and Snapwell membranes). The chamber that faces the apical side of the endothelial cells is termed the luminal chamber, and the other chamber as the abluminal chamber. A tracer such as FITC-dextran or FITC-albumin is added in the luminal chamber and its gradual accumulation in the abluminal chamber is measured over a certain amount of time to determine the solute flux (Yuan & Rigor, 2010). The main advantage of this system is that it can be used to study the intracellular signaling pathways in endothelial cells that lead to changes in permeability. On a related note, strategies to transfect endothelial cells with DNA, siRNA, peptides, and proteins significantly expand the menu of manipulations that can be used to test hypotheses. This potentially powerful tool also has potential drawbacks. Experimental conditions such as sudden changes in temperature or medium pH when tissue culture incubator doors are opened and closed may affect the outcome. Pore size in the membrane and type of matrix used for culturing must be consistent to minimize variability. Another major limitation is these assays generally are not conducted under flow conditions present in microvessels. Moreover, it has been well documented that endothelial cells in cultures may behave differently from those in vivo due to some phenotypic differences between cells in culture and in situ (Uhlig et al., 2014). For example, cells in culture have less caveolae and are 10 to 100 times more permeable to albumin than in vivo (Uhlig et al., 2014). Factors that are known to increase permeability in different types of endothelial cells in vitro play little role in the development of pulmonary edema (Uhlig et al., 2014). The phenotypic differences of cultured endothelial cells can be seen in the endothelial glycocalyx, which has been shown to be less thick in cultured cells compared to ex-vivo and in-vivo endothelium, as documented by chappell et al (Chappell et al., 2009). Therefore, the limitations of cultured endothelial cells should be kept in mind when investigating the mechanisms of pathophysiological edema.

3.6. Transendothelial Electrical Resistance and Impedance Measurements

An indirect method to study the barrier function has been to measure electrical resistance across the endothelium. This was performed in frog capillaries/postcapillary venules of the mesentery, muscle, and brain, which yielded electrical resistances of 0.95, 23, and 1870 Ω·cm2, respectively (Crone & Christensen, 1981; Crone & Olesen, 1982; Olesen & Crone, 1983). The findings suggested variability in endothelial barrier function between different tissues and reinforced the concept of a tight blood-brain barrier (BBB).

These in vivo measurements of electrical resistance supported the idea of performing these types of measurements on endothelial cell monolayers as an index of permeability.

Ussing chambers can be used to study epithelial or endothelial membrane properties by inserting electrodes into the luminal and abluminal chambers (Clarke, 2009). Similar assays are also available for vertical chamber systems. These systems allow for repeated measures of resistance over time, before and after stimuli. A drawback is that the transendothelial electrical resistance measurements may be lower than those observed in intact microvessels (Srinivasan et al., 2015). (Chappell et al., 2009)

An additional, popular method for determining endothelial barrier function is Electric Cell-substrate Impedance Sensing (ECIS) across endothelial cell monolayers as an index of barrier function. The cells are grown to confluence on gold microelectrodes, with a large counter electrode configuration. While the impedance measurements can serve as an index of endothelial barrier function, the cell monolayers have both resistive and capacitive properties which can be used to tease out the relative contributions of the resistance due to intercellular junctional tightness between cells (Rb) versus cell-matrix tightness (α) by applying different frequencies of alternating current (Giaever & Keese, 1991, 1993). Recently a competitor system, xCelligence, that uses the same technology as ECIS has also been introduced. Both systems have the advantage that they can provide high throughput, and rapid measures of transendothelial electrical resistance. The ability to utilize flow of media over the cells is also an advantage (Breslin & Kurtz, 2009), although most investigations do not take advantage of this feature. However, the impedance devices utilize cells grown on an impermeable surface, which is different from physiological conditions (Bischoff et al., 2016).

3.6. Microfluidic Membrane Chip Assays

The new microfluidic membrane chips are a modified form of the Transwell solute flux assays that take into account flow induced shear stress effects. Shear stress can modify endothelial barrier function (Yuan et al., 1992; Sill et al., 1995; Seebach et al., 2000; Breslin & Kurtz, 2009). For this reason, Young and colleagues developed a method to study permeability under flow conditions using a micro channel system separated by a porous membrane. Permeability was assessed by measuring leakage of FITC albumin under laser fluorescent microscopy (Young et al., 2010). Microfluidic membrane chip methodology has been applied by other studies targeting blood and lymphatic permeability (Srigunapalan et al., 2011; Sato et al., 2015; Thomas et al., 2017).

4. MICROVASCULAR HYPERPERMEABILITY IN INJURY OR DISEASE CONDITIONS

4.1. Hemorrhagic shock and Ischemia-reperfusion Injury

Hemorrhagic shock is a life-threatening condition related to traumatic injury, with estimated death rate of 55.9 in every 100,000 persons (Sawant et al., 2014). A major problem with the resuscitation of hemorrhagic shock patients is that the intravenous fluids administered to restore central fluid volume and blood pressure leak out of the microcirculation. The consequence of the resulting edema formation is hypoperfusion of the end organs and multiple organ failure. Traumatic injures that lead to multiple organ failure account for 51–60% of trauma-related deaths (Dewar et al., 2009).

Our lab has investigated the impact of hemorrhagic shock and resuscitation (HSR), acute alcohol intoxication, and their combination on the microvascular barrier function of the gut mesentery (Doggett & Breslin, 2014; Doggett et al., 2017), which has been demonstrated to be particularly susceptible to ischemic injury following hemorrhagic shock (Hollenberg, 2011). Using a conscious rat model of HSR, we found that alcohol intoxication exacerbated HSR-induced hypotension and microvascular hyperpermeability to albumin. The mechanism for hyperpermeability may be attributable in part to disorganization of VE-cadherin at the intercellular junctions between endothelial cells following injury or alcohol intoxication (Doggett & Breslin, 2014). Intravenous administration of the bioactive lipid sphingosine-1-phosphate (S1P) was tested as a pharmacological intervention during resuscitation to test whether it could be employed to attenuate the effects of combined alcohol intoxication and HSR (Doggett et al., 2017). S1P is an endogenous bioactive lipid produced in cell membranes, and previous reports showed that S1P enhances barrier function in cultured endothelial cells and isolated rat microvessels, and reduced microvascular hyperpermeability in vivo in murine lung (Singleton et al., 2005; Adamson et al., 2010; Sammani et al., 2010). We performed a dose-response study of S1P’s efficacy and found that S1P administered at 0.1 mg/kg during resuscitation significantly reduced the combined HSR and alcohol intoxication-induced microvascular hyperpermeability to albumin. This effect was reflected in the mean arterial pressure, which was significantly elevated after resuscitation in rats that received S1P compared to controls (Doggett et al., 2017).

Apoptotic signaling has also been suggested to contribute to HSR-induced endothelial cell barrier dysfunction through a series of studies by Childs and colleagues. Following HSR, an increase in BH3 pro-apoptotic protein BAK in the mesenteric microvasculature initiates the mitochondria-mediated intrinsic apoptotic signaling, with an increase in reactive oxygen species and the release of apoptogenic protein cytochrome-c. This leads to activation of the effector caspase-3, and subsequent cleavage and disruption of adherens proteins, resulting in an increase in paracellular endothelial cell permeability. In addition, transfection of BAK peptide in a rat model resulted in increased microvascular permeability through the activation of caspase-3 (Childs et al., 2007). In a subsequent study, they investigated which mitochondrial complex involved in the electron transport chain was responsible for ROS formation and hyperpermeability. Using cultured rat lung microvascular endothelial cells, they found that inhibition of the mitochondrial electron transport chain complex III resulted in a decrease in BAK-induced ROS formation and cytochrome-c release, as well as attenuation of microvascular permeability. Inhibition of other complexes and cytoplasmic enzymes did not show protection against BAK-induced ROS formation and endothelial hyperpermeability, confirming the role of mitochondrial-mediated intrinsic apoptotic signaling activation in endothelial barrier disruption by increasing ROS and releasing cytochrome-c. (Childs et al., 2008).

The ischemia/reperfusion (I/R) injury created during hemorrhagic shock induces pro-inflammatory signals in the endothelial cells of postcapillary venules. Data from studies using hypoxia and reoxygenation on endothelial cell monolayers as a model of I/R injury suggest that the exacerbated traffic of leukocytes in these microvessels results from an increased expression of different endothelial cell adhesion molecules on the surface of both leukocytes and endothelium (Ichikawa et al., 1997). Ischemia and reperfusion injury in an isolated rat lung model has been shown to increase lung permeability and weight, with upregulation of the adhesion molecule CD31 (Chiang et al., 2011). ROS production induced by depolarization of endothelial cell membranes is also involved in I/R inflammation and leukocyte extravasation. The decrease in blood flow is a mechanical stimuli sensed by a complex consisting of the adhesion molecule PECAM, VEGF receptors, and VE-cadherin that is located in the caveolae of endothelial cells (Chatterjee et al., 2014). Activation of this complex results in depolarization of the endothelial cell membrane and subsequent generation of ROS, which disrupts the integrity of endothelial cell-cell junction and compromises endothelial barrier, leading to hyperpermeability (Gilmont et al., 1998).

The endothelial glycocalyx is another important component of the vascular endothelium that is degraded during hemorrhagic shock and I/R injury. The glycocalyx is composed of proteoglycans, glycosaminoglycan molecules and glycoproteins, and is located in the luminal side of blood vessels, spanning the membrane of endothelial cells (Reitsma et al., 2007). Early studies established the endothelial glycocalyx as an important determinant of microvascular permeability (Henry & Duling, 1999; Vink & Duling, 2000). For example, enzymatic removal of the glycocalyx in rat myocardial capillaries causes myocardial edema (van den Berg et al., 2003). Some studies have shown degradation of the endothelial glycocalyx following ischemia-reperfusion injury as well as after a prolonged, fixed-pressure model of hemorrhagic shock and resuscitation (Mulivor & Lipowsky, 2002; Kozar et al., 2011). However, most studies evaluated glycocalyx based on post-mortem electron microscopy images. More recently, Torres Filho et. al. showed a reduction in the glycocalyx thickness of microvessels in vivo during hemorrhagic hypotension. Using a rat model of fixed-volume hemorrhage, they showed a significant hemorrhage-induced decrease of 59% in glycocalyx thickness in skeletal muscle venules compared to control rats, and that venules with the largest decreases in glycocalyx presented the greatest reduction in local blood flow (Torres Filho et al., 2013). In a more recent study, in which they tested the efficacy of seven different resuscitation fluids after fixed-volume hemorrhage, they found a negative correlation between microvascular permeability and glycocalyx thickness, and that plasma levels of glycocalyx components syndecan-1 and Heparan sulfate were positively correlated to microvascular permeability (Torres Filho et al., 2016), suggesting an important role for the glycocalyx in endothelial barrier function during hemorrhage and resuscitation.

The studies done by Dr. Torres Filho and others have shown that resuscitation with fresh frozen plasma (FFP) and fresh whole blood following hemorrhagic shock is correlated with endothelial restoration of the glycocalyx and its component syndecan-1 (Sdc-1) (Torres Filho et al., 2016). A different group showed the specific contribution of Sdc-1 to FFP-mediated protection in lung endothelium. Treatment with FFP enhanced the expression of Sdc-1 on pulmonary endothelial cell monolayers. When Sdc-1 expression was silenced, permeability was higher and stress fiber formation was evident with FFP treatment. In the same study, in a hemorrhagic shock (HS) model, lung microvascular permeability was significantly increased compared to sham controls. When comparing resuscitation with lactated ringers (LR) versus FFP, the FFP showed a reduction in the microvascular leakage (Peng et al., 2013). Sdc1−/− mice also presented enhanced lung permeability after HS, however FFP treatment showed no benefit over LR resuscitation. Loss of Sdc1 in vivo also led to no difference between LR and FFP in reducing pulmonary injury scores and markers of inflammation after hemorrhage. Furthermore, Sdc1−/− mice presented a significant increase in pulmonary syndecan-4 expression after HS and FFP resuscitation compared to animals resuscitated with LR, showing that other members of the syndecan family may be compensating for the loss in Sdc1 to maintain the integrity of the glycocalyx. These results support the role of glycocalyx components in modulating FFP-mediated protection of pulmonary endothelial barrier after hemorrhagic shock (Peng et al., 2013).

4.2. Burn-Induced Endothelial Barrier Dysfunction

Systemic microvascular hyperpermeability is an important manifestation of severe burn injury. In the early stages after burn, systemic leakage of plasma proteins and subsequent edema have been directly linked to the development of multiple organ dysfunction and hypovolemic shock (Kremer et al., 2008; Zhao et al., 2015). In later stages in those who have survived a severe burn injury, wound swelling and inflammation are also directly linked to local microvascular hyperpermeability (Demling, 2005). Many factors may contribute to interstitial accumulation of plasma fluid during burn including increased filtration pressure and fluid absorption, impaired lymphatic clearance and general cell membrane damage (Lund et al., 1992; Gibran & Heimbach, 1993; Demling, 2005). However, the cellular mechanisms that lead to a dysfunctional endothelial barrier are the major contributors to the initiation and development of burn edema. A variety of inflammatory mediators of endothelial permeability have been identified in the serum of burn patients, such as histamine, cytokines, and prostaglandins. Leukocyte adhesion, the release of free radicals, proteases and other factors also contribute the complexity of the burn-induced inflammatory response (Gibran & Heimbach, 1993; Arturson, 1996, 2000; Dudek & Garcia, 2001).

Yuan and colleagues have investigated the cellular and molecular processes triggered by inflammatory mediators that lead to endothelial barrier dysfunction during burn. In a rat model of burn injury, with 25% of total body surface area receiving a scalding burn, plasma was collected and used to treat rat lung microvascular endothelial cells to identify potential molecular mechanisms activated by the burn-plasma components. They observed that exposure to burn-plasma caused marked serine phosphorylation of β-catenin and VE-cadherin, and a shift of these AJ proteins from the cell membrane to the cytosol, plus formation of gaps between cells. PKC activity was also found to be required for these changes (Tinsley et al., 2004b; Tinsley et al., 2005). Treatment of endothelial cells with burn plasma also decreased barrier function, as measured by albumin extravasation and transendothelial electrical resistance (TER), which were also attenuated in a concentration-related manner by PKC inhibitors (Tinsley et al., 2005). Previous studies showed that phosphorylation of MLC by MLCK is required for burn-induced stress fiber formation and pulmonary endothelial hyperpermeability (Tinsley et al., 2004b). They further investigated the role of MLC-dependent endothelial barrier injury during burns, focusing on the long isoform MLCK-210, which was been identified as the predominant isoform expressed in vascular endothelial cells. Using a mouse model of third-degree scald burn, they found that in wild-type mice, the burn injury causes a 2-fold increase in albumin flux and a 4-fold increase in hydraulic conductivity in the mesenteric microcirculation, which was associated with high mortality within 24 hours. However, in MLCK-210-deficient mice hyperpermeability to albumin was attenuated survival was significantly improved and (Reynoso et al., 2007). The role of MLCK-210 in susceptibility to lung injury has been demonstrated by other studies in vivo through an MLCK-210 knockout mouse model that retains the production of the other MLCK isoforms. The MLCK-210 knockout mice were less susceptible to acute lung injury induced by endotoxin lipopolysaccharide and showed enhanced survival during mechanical ventilation (Wainwright et al., 2003). Taken together, these studies suggest that modifications in both adherens junctions and actomyosin complex by PKC and MLCK, respectively, may contribute to the progression of pulmonary edema following burn injury, and that these effector molecules may be effective therapeutic targets for fighting the complications of endothelial barrier dysfunction.

Toll-like receptors (TLR) also have been shown to play an important role in sensing tissue damage and mediating the response of the vascular endothelium to sterile inflammatory stimulation. TLR-4 knockout mice display much less microvascular leakage in response to burn injury compared to wild-type mice. The increase in leukocyte adhesion is also attenuated in the mesenteric venules of TLR-4 knockout mice following burn, compared to wide-type controls. Complementary results using rat lung endothelial cell monolayers showed a rapid reduction in TER induced by burn plasma treatment, which was blunted by reducing the expression of TLR-4 receptor with specific siRNA knockdown (Breslin et al., 2008). In a separate study, TLR-4 was shown to be required for the development of acute lung injury. Hemorrhage and endotoxemia caused the production of TNF-α, neutrophil accumulation, and extravasation of protein in the lungs of wide-type mice, while mice with a mutated, nonfunctional TLR-4 receptor showed a significant reduction in these parameters (Barsness et al., 2004).

Mitogen-activated protein kinases (MAPKs) are also an important family of proteins that, during burn injuries, are activated and mediate the signal transduction involved in endothelial permeability. One group showed that p38 MAPK regulates the interaction of endothelial cell actin and myosin, leading to stress fiber formation, cellular contraction and enhanced vessel permeability (Wang et al., 2010). Based on this previous work, they further investigated the role of other MAPKs, such as c-JUN N-terminal kinase (JNK) and extracellular signal-related kinase (ERK) that like p38 are activated by MAPK kinases but had an unknown role in thermal injury. They showed that exposure of endothelial cells to burn serum results in rapid membrane damage and relocation of the tight-junction protein ZO-1 from the membrane to the cytosol. This phenomenon is completely abolished through pharmacological inhibition of p38 MAPK, whereas inhibition of JNK and ERK had no effect. The expression of adhesion molecule ICAM-1 was shown to be specifically regulated by JNK, as only inhibition of this MAPK was able to blunt the overexpression of ICAM-1 following burn serum exposure. These results were confirmed in vivo, as the aortic endothelium of thermally injured mice expressed enhanced ICAM-1 amounts. Adenoviral transfection of dominant negative JNK mutants attenuated this expression, whereas dominant negative p38 MAPK mutants did not influence ICAM-1 expression. However, the adhesion molecule P-selectin was found to be specifically regulated by p38 MAPK during thermal injury both in vitro and in vivo (Wu et al., 2011). Putting these findings together, we conclude that MAPKs have a fine-tuned role on the regulation of endothelial permeability. Understanding the different signal transduction pathways that disrupt the endothelial barrier might help identify possible targets to prevent the pathophysiological responses induced by burn injury.

4.3. Endothelial Barrier Disruption in Stroke and Brain Injury

Stroke is defined by the world health organization as a clinical syndrome consisting of rapidly developing clinical signs of focal (or global in case of coma) disturbance of cerebral function lasting more than 24 hours or leading to death with no apparent cause other than a vascular origin. Stroke is the second most common cause of death worldwide and a leading cause of serious long-term disabilities (Katnik et al., 2014). The vascular origin of the complications induced by stroke refers to the disruption of the BBB, a semi-permeable endothelial and glial barrier that regulates passage of blood and molecules into the brain (Ballabh et al., 2004). Its integrity is significantly important for protection of the brain against passage of toxins or cells (van Sorge & Doran, 2012). The BBB is composed of three main cellular elements: endothelium of the blood vessel, astrocytic end-feet and pericytes (Persidsky et al., 2006). Basement membrane, vascular smooth muscle cells and some immune cells also help maintain the integrity of the BBB (Daneman & Prat, 2015). The brain endothelium shares similarities with other types of endothelial cells in the expression of common endothelial junctional proteins such as VE-cadherin (Katt et al., 2016). However, the endothelial junctions of the brain exhibit a higher expression of tight junctional proteins such as claudins, occludins and junctional adhesion molecules (Luissint et al., 2012). This makes the cellular barrier relatively tighter than other types of endothelium (Joo, 1996).

Most strokes are ischemic, in which blood supply to the brain is interrupted. Exposure of neuronal tissue to ischemia leads to a shift from aerobic to anaerobic metabolism that results in acidosis and ATP depletion (Kogure & Schwartzman, 1980), leading to loss of membrane channel protein functions including Na/K ATPase (Huang et al., 2015). The net result is calcium influx due to membrane depolarization and acid sensing ion channel activation (Cuevas et al., 2011). Accumulation of calcium leads to mitochondrial dysfunction and disruption of many intracellular signaling pathways and eventually apoptosis as well as glutamate release (Nishizawa, 2001; Broughton et al., 2009). The dead neurons release certain mediators that activate brain microglia to release inflammatory mediators such as IL1-β (Yenari et al., 2010). The inflammatory cytokines as well as high glutamate levels have major effects on endothelium and are known to disrupt the BBB (Campos et al., 2012; Galea & Brough, 2013). Disruption of the BBB leads to brain edema which is a hallmark of stroke pathology that aggravates neuronal tissue damage (Dostovic et al., 2016).

Similar to stroke, other types of brain injury are known to disrupt the BBB by various mechanisms. For example, traumatic brain injury (TBI) is well documented to negatively regulate BBB integrity by a 2-step process. The primary damage is characterized by the direct or indirect mechanical injury of the parenchyma and vascular wall. The secondary damage occurs after the BBB disruption and is marked by edema and inflammation (Price et al., 2016). After the injury, astrocytes and microglia release many inflammatory mediators such as MMPs, interleukins and TGF beta, which are well known to disrupt the BBB (Lu et al., 2005; Lakhan et al., 2013; Guilfoyle et al., 2015). Patients with stroke or TBI are commonly presented with some degree of brain edema and blood brain barrier disruption that can be assessed and quantified using dye extravasation methods and imaging techniques such as magnetic resonance imaging (MRI) (Tomkins et al., 2011; Kassner & Merali, 2015). Several studies have used animal models of brain injuries to assess microvascular leakage of the brain. Most of these studies use Evans Blue extravasation assays to assess endothelial hyperpermeability during brain injury (Wang & Lai, 2014).

Tissue ischemia and hypoxia is one of the known factors modulating microvascular permeability in brain injury (Wang & Lai, 2014; Vespa, 2016). Engelhardt and co-workers have demonstrated that hypoxia causes disruption of rat brain endothelial cells tight junction by activating Hypoxia-Inducible Factor-1 (HIF-1) (Engelhardt et al., 2014). Other studies have shown that HIF-1α is involved in activation of matrix metalloproteinases (MMPs) that also downregulate endothelial tight junctions, enhancing permeability in cerebrovascular diseases (Yang & Rosenberg, 2011).

It has been well documented that brain injury is usually accompanied by some degree of inflammation in the brain. Activated microglia in stroke and TBI are known to secrete numerous inflammatory mediators such as IL-1β and TGF-β, which has been linked to hypoxic conditions (Patel et al., 2013; Loane & Kumar, 2016). Engelhardt and co-workers have shown that the inflammation caused by hypoxia-activated astrocytes causes brain endothelial dysfunction that depends on IL-1β (Engelhardt et al., 2014). Others have shown that IL-1β released from activated microglia disrupts blood brain barrier by downregulating Sonic hedgehog protein in astrocytes that in turn transcriptionally decreases tight junction protein expression in endothelial cells thus promoting BBB disruption (Wang et al., 2014). Beard et al have further investigated the mechanisms of IL-1β-induced BBB disruption and have shown that the underlying mechanism involves β-catenin and FoxO1-dependent downregulation of the tight junction protein claudin-5 via non muscle myosin light chain kinase (Beard et al., 2014).

Endothelial cytoskeleton and actin fiber dynamics are of significant importance in regulating endothelial permeability (Adderley et al., 2015a; Zhang et al., 2016) and they have been studied in the context of brain injury. One study showed that actin filaments are important to maintain the BBB, as treatment with cytochalasin-B, which disrupts actin integrity, caused BBB hyperpermeability (Nag, 1995). Shi and coworkers have shown that cytoskeletal dynamics were associated with early BBB disruption as they demonstrated that oxygen and glucose deprivation rapidly induced actin stress fibers in brain endothelial cells, leading to hyperpermeability (Shi et al., 2016).

Another important factor regulating microvascular permeability during brain injury is the endothelial glycocalyx, which is present on cerebral endothelium and is of significant importance in maintaining BBB integrity (Yoon et al., 2017; Zhu et al., 2017). Stroke and some other brain injury conditions are manifested by focal or global brain ischemia or hypoxia, which has been linked to endothelial barrier disruption by affecting endothelial glycocalyx (Ward & Donnelly, 1993; Rehm et al., 2007). Glycocalyx degradation was reported associated with higher BBB permeability and aggravated brain edema in a rat model of cardiac arrest and cardiopulmonary resuscitation (Zhu et al., 2017). However, more studies using animal models of stroke and brain injury are needed to characterize the role of the endothelial glycocalyx in protecting the BBB.

Glutamate and matrix metalloproteinases (MPPs) are also important in regulating BBB permeability during brain injury. Glutamate is an excitatory neurotransmitter that is abundant in the brain following stroke (Davalos et al., 1997). The role of glutamate in BBB disruption is well documented (Hawkins, 2009; Xhima et al., 2016). For example, Mayhan et. al. have shown that glutamate disrupts the BBB via a nitric oxide-dependent mechanism. They investigated BBB function in the pial microcirculation of rats using intravital microscopy, and found that topical application of glutamate and the nitric oxide donor S-nitroso-acetyl-penicillamine (SNAP) produced an increase in the BBB permeability to FITC-dextran-10K, which was attenuated by treatment with NG-monomethyl-L-arginine (Mayhan & Didion, 1996). MPPs are a family of enzymes that cleave protein substrates. Their role in BBB disruption in ischemic stroke has been well documented. They act by breaking down the extracellular matrix and endothelial tight junctions to enhance BBB permeability (Lakhan et al., 2013).

As we have seen, multiple factors activated during stroke and brain injury are associated with BBB disruption. Those factors include but are not limited to inflammatory cytokines, HIF-1-α glutamate and MMPs. Structurally, brain injury causes changes in endothelial cytoskeleton, glycocalyx shedding and downregulation of endothelial tight junctions. Most of the studies that have addressed this issue focused on brain endothelium to investigate junctional protein expression under brain injury condition. However, there is still a need to investigate at the microvascular level the changes of junctional proteins in isolated microvessels from brain injury models to comprehensively evaluate the status of endothelial junctional protein expression and localization under these disease conditions.

4.4. Diabetes-induced Vascular Disease

Diabetes mellitus is a group of metabolic disorders characterized by impaired insulin production and utilization, leading to high levels of blood sugar over prolonged periods of time. The major cause of morbidity and mortality in diabetic patients is cardiovascular disease, which initiates with dysfunction of the microvascular barrier, leading to end organ diseases such as nephropathy, neuropathy, cardiomyopathy and foot disease (Yuan et al., 2007). The endothelial dysfunction in diabetes causes plasma leakage and deposition of proteins and lipid in the vessel wall, altering the basement membrane composition and forming microangiopathic lesions characterized by a thicker and weaker microvessel, which contribute for the development of hypertension. Early studies in the structural changes in the coronary microcirculation caused by diabetes showed that hyperglycemia induces the formation of paracellular gaps, consistent with increased permeability (Ward & al-Haboubi, 1997). Other studies of high glucose treatment and streptozotocin (STZ)-induced diabetes show stress fiber formation and other cytoskeleton and endothelial cell structural changes (Salameh et al., 1997; Yu et al., 2005b). To support these findings, reduced expression of membrane-bound VE-cadherin has been reported in cultured endothelial cells treated with advanced glycation end-products (Otero et al., 2001) as well as in the diabetic retina (Davidson et al., 2000). The expression of tight junction protein ZO-1 was also reduced in the cerebral microvessels of STZ-induced diabetic rats (Chehade et al., 2002).

The biochemical and molecular mechanisms involved in microvascular dysfunction during diabetes are directly related to disturbed glucose metabolism and inflammation. Three main pathways have been identified during hyperglycemia-induced microvascular hyperpermeability. The first pathway involves oxidative stress-induced alteration of endothelial barrier function. Excessive intracellular glucose and free fatty acids cause stimulation of mitochondrial respiration, modification of the redox states of various intracellular molecules, and changes in nitric oxide bioavailability in the microvascular endothelium (Yuan et al., 2007). The second pathway involves generation of advanced glycation end-products (AGEs), which have been identified in the blood and vasculature of diabetic patients (Goldin et al., 2006). These molecules, which are produced by auto-oxidation and nonenzymatic glycation of proteins or lipids (Yuan et al., 2007), have been associated with breakdown and decreased expression of VE-cadherin in the endothelium (as mentioned above) in earlier experiments. More recent studies show that AGEs cause phosphorylation of VE-cadherin, dissociation of adherens junction and endothelial hyperpermeability through binding to their receptor (RAGEs). The cellular responses to AGEs are mediated and exacerbated by mammalian diaphanous-related formin (mDia1), which regulates cell adhesion by binding to the cytoplasmic domain of RAGEs and acting as a potent actin and microtubule polymerization factor (Zhou et al., 2018). AGEs are also shown to cause endothelial dysfunction and hyperpermeability through activation of NF-kB, p38 MAPK and Rho/ROCK (Wang et al., 2017; Zhang et al., 2017). Finally, the third mechanism involves synthesis of dyacylglycerols (DAGs) due to increased levels of glucose metabolites. DAGs can bind and activate PKC, which is then translocated from the cytosol to the cell membrane, where it acts as a hyperpermeability factor (Yuan et al., 2007). The apparent hyperpermeability to albumin in isolated porcine coronary venules was prevented by blockage of PKC during treatment with D-glucose. More importantly, selective inhibition of PKC-β attenuated the elevated permeability to albumin in porcine coronary venules at the early onset of STZ-induced diabetes (Yuan et al., 2000). When investigating whether diabetes causes a change to PKC in transcriptional and translational levels, they found that PKC-β2 was significantly upregulated in the heart and aorta of STZ-induced diabetic pigs at both transcriptional and translational levels (Guo et al., 2003). These studies suggest that PKC-β2 is a potential target for diabetic injury in the cardiovascular system.

Clinical studies have shown a relationship between obesity and insulin resistance in the development of acute respiratory distress syndrome (ARDS) (Gong et al., 2010), a pathological condition that involves increased pulmonary vascular permeability and pulmonary edema (Clemmer et al., 2016). Besides that, alterations in the structure and function of the complex pulmonary microcirculatory network have been observed, as well as a positive relationship between lung permeability and pulmonary microangiopathy in diabetic patients (Kuziemski et al., 2015). A few molecular mechanisms of pulmonary microvascular permeability during diabetes have been elucidated. One hypothesis presented was whether pulmonary endothelial permeability was increased during chronic hyperglycemia due to superoxide activation of the transient receptor potential channel TRPM2, which is known to increase calcium entry and pulmonary permeability coefficient (Kf) (Townsley et al., 2006; Wu et al., 2009). The results showed that STZ-induced diabetes in Zucker rats increased vascular superoxide levels and Kf, and decreased lung vascular TRPM2 expression compared to control Zucker rats. The increase in superoxide and Kf was significantly reversed with apocynin treatment, a NOX inhibitor. TRPM2 channel inhibition also reversed the increase in Kf. Furthermore, they induced oxidative stress in the lungs of control rats, which increased Kf. This response was attenuated with TRPM2 inhibition, suggesting a TRPM2-mediated pulmonary hyperpermeability associated with increased superoxide levels during diabetes (Lu et al., 2014). These studies show that hyperglycemia-induced oxidative stress is a significant mediator of pulmonary permeability. However, there is a great need for further investigation on the effects of diabetes on ARDS. A few studies have identified diabetes mellitus as a risk modifier of acute lung injury (ALI) in patients with predisposition (Moss et al., 2000; Gong et al., 2005). A bigger study aimed to validate and refine a lung injury prediction score in at-risk patients found that diabetes mellitus decreased the risk to develop ALI by 1 point (Gajic et al., 2011). While these studies do not prove that diabetes has a protective effect against lung injury, they do show some disconnect between the animal models and human studies, and of the complexity of the interaction between multiple pathologies.

5. EVIDENCE OF A ROLE FOR LOCAL LAMELLIPODIA IN THE CONTROL OF ENDOTHELIAL BARRIER FUNCTION

As shown above, mechanisms such as actin-myosin-mediated contraction are thought to increase centripetal tension of endothelial cells, putting stress on the junctions and widening junctional clefts to increase permeability (Moy et al., 1996; Moy et al., 2002; Breslin et al., 2006). Many inflammatory stimuli that cause endothelial barrier dysfunction also elicit actin stress fibers in endothelial cells, which have been proposed as a possible source of this increased centripetal tension (Bogatcheva & Verin, 2008; Shen et al., 2010). MLCK-mediated phosphorylation of MLC on Thr-18/Ser-19 promotes actin-myosin-mediated contraction in endothelial cells. Pharmacologic inhibition of MLCK has been shown to decrease the baseline permeability to albumin in isolated coronary venules (Yuan et al., 1997). Inhibition of MLCK has also been shown to reduce neutrophil-induced microvascular hyperpermeability, and mice that lack the MLCK-210 isoform display reduced microvascular leakage in response to burn injury (Reynoso et al., 2007). The MLC phosphatase (MLCP) reduces phosphorylation of MLC on Thr-18/Ser-19. MLCP-mediated dephosphorylation of MLC is inhibited by the RhoA/ROCK pathway via phosphorylation of its myosin targeting subunit MYPT-1, resulting in accumulation of phosphorylated MLC (Bogatcheva & Verin, 2008; Shen et al., 2010). Inhibition of ROCK has been shown to attenuate actin stress fiber formation in conjunction with inhibition of endothelial barrier function normally elicited by activated neutrophils, thrombin, histamine, and VEGF (Carbajal et al., 2000; van Nieuw Amerongen et al., 2000; Wojciak-Stothard et al., 2001; Breslin & Yuan, 2004; Breslin et al., 2006; Sun et al., 2006).

While actin stress fibers were proposed as mediators of endothelial cell contraction, agents that protect the endothelial barrier such as S1P and cAMP analogs were found to promote cortical actin fibers, which were proposed to stabilize endothelial junctions (Waschke et al., 2004b; Waschke et al., 2004c; Adamson et al., 2008; Bogatcheva & Verin, 2008; Spindler et al., 2010). The small GTPase Rac1 is thought to promote cortical actin fibers, as cAMP analogs that promote Tiam1-mediated activation of Rac1 cause cortical actin network stabilization (Birukova et al., 2007; Adamson et al., 2008; Baumer et al., 2008b; Birukova et al., 2009; Birukova et al., 2010), while selective inhibition of Tiam1-mediated activation of Rac1 increases endothelial permeability (Baumer et al., 2009; Breslin & Kurtz, 2009).

In an effort to gain more detail in the understanding of how these actin structures contribute to the control of endothelial barrier function, we developed a protocol to express a green fluorescent protein-β-actin fusion protein (GFP-actin) in cultured endothelial cells in order to study dynamic changes in the actin cytoskeleton in response to stimuli that are known to increase or decrease endothelial permeability (Doggett & Breslin, 2011). We chose this model because GFP-actin was previously found to polymerize with native actin molecules and incorporate into normal actin structures, enabling study of cytoskeletal dynamics (Ballestrem et al., 1998; Choidas et al., 1998). We verified successful expression of GFP-actin in human umbilical vein endothelial cells (HUVEC), and that it was incorporated to the same structures as native actin molecules (Fig. 3). In addition, we confirmed that the typical changes in TER elicited to thrombin or S1P were similar between HUVEC expressing GFP-actin, and those that did not (Fig. 3).

Fig. 3.

Fig. 3.

Expression of GFP-actin in HUVEC does not affect agonist-induced changes in endothelial barrier function. Panel A shows the that expression efficiency can be as high as 95% in some areas (scale bar = 100 μm). B. Western blot analysis of β-actin (left) and GFP (right) in HUVEC lysates from cells expressing GFP-actin versus controls. The top arrow indicates the GFP-actin band, while the bottom arrow indicates native actin. Panels C, D, and E show GFP-actin (green) along with labeling of F-actin with Alexafluor-594-phalloidin (red) and nuclei with Hoechst 33342 (blue) in paraformaldehyde-fixed cells. Scale bar = 20 μm. Panels F and G show changes in TER elicited by thrombin (1 U/ml) and S1P (2 μM) in GFP-actin- and mock-transfected HUVEC. Reproduced with permission from (Breslin et al., 2015).

In our initial experiments, we observed the expected filamentous actin structures. However, an unexpected finding was that in a monolayer of confluent endothelial cells, a large number of local lamellipodia were observed at junctions. The local lamellipodia essentially were active extensions of one cell’s membrane containing GFP-actin that protruded over an adjacent cell, then retracted back toward the starting point. In addition, we observed actin stress fibers drifting from the cell edges toward the center of the cell, where they disassembled (Doggett & Breslin, 2011). These findings prompted us to form analysis procedures to study these structures so that we could determine their relative contributions to the control of endothelial barrier function. In addition to counting all the local lamellipodia events (protrusion frequency), we adopted kymograph analysis to characterize the protrusion and withdrawal distances, times, and velocities (Fig. 4). Kymograph analysis can also be used for studying the number of actin stress fibers crossing an imaginary vertical plane through the center of the cell, plus their lateral movements, as shown in Fig. 5.

Fig. 4.

Fig. 4.

Kymograph analysis of lamellipodia characteristics. A. To generate a kymograph in a particular area on the edge of a cell, a line perpendicular to the edge was drawn. In the resulting kymograph (line scan), the x-axis represents time and the y-axis represents distance. B. Membrane protrusions can identified in the kymograph and lines are drawn as shown in panel C from the starting point to the endpoint of each protrusion. The protrusion velocity, distance, and persistence are determined from these lines as shown in panel D. The same type of analysis is used as shown in panel E to determine the withdrawal distance, velocity, and time. Reproduced with permission from (Breslin et al., 2015).

Fig. 5.

Fig. 5.

Assessment of the lateral movement of actin stress fibers by kymograph analysis. A. In HUVEC expressing GFP-actin, a line is drawn across the center of a single cell in order to generate a kymograph, as shown in panel B. In this kymograph, the x-axis represents distance, and the y-axis represents time. The brighter areas that resemble lines horizontally represent where stress fibers were crossing the plane drawn by the line in panel B. In panel C, lines were superimposed over these brighter areas and the geometric data was determined using ImageJ. The data collected included the number of fibers present at regular time points, plus the lateral velocity of the stress fibers between each time point. Reproduced with permission from (Breslin et al., 2015).

Initial studies were aimed at determining how agents that modulate endothelial barrier function affect local lamellipodia and actin stress fibers. Data from a study performed with thrombin are shown in Fig. 6. HUVEC expressing GFP-actin were observed with time-lapse fluorescent microscopy (Breslin et al., 2015). During the baseline period, frequent local lamellipodia formation and withdrawal was observed, shown by the small arrows in the top left image in Fig. 6A. An additional transient structure we observed in the more central areas of cells was formation of cluster of GFP-actin that then expanded into a ring and dispersed away from its starting point, shown by the large arrow in the top left image of Fig 6A. These dynamic structures were previously been described and named “actin clouds” (Ballestrem et al., 1998). When near the edge of a cell, actin clouds typically gave rise to a local lamellipodia. When 1 U/ml thrombin was added to the cells, within a few minutes there was a brief increase in GFP-actin intensity was apparent near the edges of cells (medium arrows, bottom left image of Fig. 6A) and borders of vesicles (very small arrows, same image), followed by less lamellipodia and actin cloud activity. Quantification of this data showed that the lamellipodia protrusion frequency significantly declined from baseline in the first 20 minutes after thrombin (Fig. 6B), corresponding to the time frame when thrombin typically also causes endothelial barrier dysfunction (Fig. 3F). At later time points, specifically 30, 40, and 50 min, the quantity of actin stress fibers was significantly increased (Fig. 6C). Two types of actin stress fibers were apparent, and their increase in numbers could be accounted for by two apparent independent mechanisms. First, de novo assembly/bundling of new actin stress fibers and the extension of smaller, preexisting fibers in the central area of the cell was observed, and these best fit the description of the ventral stress fiber subset (Hotulainen & Lappalainen, 2006; Pellegrin & Mellor, 2007). Second, thrombin caused an increase in the movement of cortical actin fibers toward the cell center, in a similar fashion as the actin stress fiber subset known a transverse arcs. Of these two subtypes, transverse arcs appeared to be more stable than the ventral stress fibers, which began disassembling 30–40 min after the addition of thrombin. Notably, the thrombin-induced increase in actin stress fiber number was significantly increased compared to baseline at the 30, 30, and 50 min time points (Fig. 6C), corresponding to the time period when the endothelial barrier dysfunction is at its greatest and begins to recover (Fig. 3F). Based on these findings, it appeared that the decline in lamellipodia may be a cause of endothelial barrier dysfunction, while actin stress fiber formation may be associated with later events or possibly recovery (Breslin et al., 2015).

Fig. 6.

Fig. 6.

Timing of decreased protrusion frequency of lamellipodia and increased actin stress fiber formation in response to thrombin. A. The top left image shows HUVEC expressing GFP-actin. These cells displayed frequent local lamellipodia (small arrows) and actin “clouds” (large arrowhead) during baseline, prior to addition of thrombin. Shortly after thrombin (1 U/ml; 3 min image) was added, a coordinated increase in actin was observed on the edges of cells (thin arrowheads) and on the perimeters of vesicles (very small arrows), after which there was a marked decline in protrusions. Later in the time course (27.5 min image), there was de novo formation of ventral stress fibers (SF), and cortical actin fibers migrated centrally, becoming transverse arc (TA) stress fibers. Opening of a tricellular junction (*) was also apparent. B. The protrusion frequency was quantified by counting all local lamellipodia events throughout the time-lapse image set. Thrombin decreased the mean protrusion frequency of local lamellipodia during the first 20 min of the time course. C. The number of actin fibers was also quantified, and these were significantly increased at 30 min after 1 U/ml thrombin addition. *P<0.05 versus the zero-minute time point. The summarized data were collected from 9 different cells from multiple experiments. Reproduced with permission from (Breslin et al., 2015).

The hypothesis that there is a cause-effect relationship between local lamellipodia and the degree of endothelial barrier function was rigorously tested through a series of experiments examining how different agents that impact endothelial barrier function affect lamellipodia activity. Histamine, which causes brief endothelial barrier dysfunction, also caused a significant yet brief decrease in local lamellipodia protrusion frequency (Adderley et al., 2015a). S1P, which enhances endothelial barrier function, elicited an increase in lamellipodia protrusion frequency (Breslin et al., 2015). Overexpression of the atypical Rho GTPase Rnd3 decreased local lamellipodia protrusion frequency in association with its ability to attenuate increases in endothelial permeability (Breslin et al., 2016). In addition to this correlative data, the impact of (−)blebbistatin on endothelial barrier function was tested because it specifically inhibits local lamellipodia formation without affecting actin stress fibers. Application of (−)blebbistatin caused a decrease in HUVEC barrier function, and also significantly increased the permeability of isolated rat mesenteric venules compared to its inactive control, (+)blebbistatin (Breslin et al., 2015). Rac1, which has an important role in cellular protrusions (Machacek et al., 2009), was also tested. Pharmacologic inhibition of Rac1 decreased lamellipodia protrusion frequency and increased endothelial permeability, while overexpression of Rac1 had opposite effects (Breslin et al., 2015). Additional studies have reported that local lamellipodia strengthen cell-cell contacts (Abu Taha et al., 2014) and can selectively close pores produced by leukocytes migrating across the endothelium (Martinelli et al., 2013). Interestingly, it was previously reported that S1P can enhance endothelial barrier function independently of VE-cadherin (Xu et al., 2007), which might be due to the extension of local lamellipodia beyond VE-cadherin junctional complexes (Breslin et al., 2015). Collectively, these findings suggest that local lamellipodia contribute to overall endothelial barrier function, likely due to a combination of their aforementioned contribution to promoting the integrity of intercellular junctions (Abu Taha et al., 2014) and by increasing the net diffusion distance for solutes to cross via the paracellular pathway (Breslin et al., 2015).

The molecular mechanisms that control lamellipodia formation remain to be fully elucidated. Underneath the protruding cell membrane is a highly organized meshwork of actin filaments meshwork with that appears to polymerize and push the cell edge forward during protrusion and develop shallower angles during withdrawal (Koestler et al., 2008). This process likely involves the Arp2/3 complex in endothelial lamellipodia (Martinelli et al., 2013; Abu Taha et al., 2014). The protrusions also may involve localized, temporally alternating increases in the activities of RhoA and Rac1 (Danuser, 2005). Rac1 activity appears to correlate with lamellipodia protrusion frequency (Breslin et al., 2015). In addition, application of S1P, which transiently increases local lamellipodia formation (Breslin et al., 2015), also increases RhoA-mediated MLC phosphorylation and recruitment of vinculin near intercellular junctions between endothelial cells (Zhang et al., 2016). Other actin-myosin-independent mechanisms such as microtubule growth may also contribute to the overall mechanism (Ingber, 2003; Birukova et al., 2006).

6. CONCLUSIONS

As we have seen, dysregulation of the endothelial barrier occurs in a variety of disease and injury conditions. Independent of the pathological challenge, they all involve inflammation of the microvasculature, which is directly linked to disruption of the cell-cell adhesive properties and loss of membrane-bound junctional protein integrity. The disrupted control of permeability during such inflammatory challenges seems to be the root of complications that lead to organ dysfunction. The cellular and molecular mechanisms described in this review share a common ultimate target: integrity of the endothelial junctions. Although targeting specific hyperpermeability-mediators may confer some degree of effectiveness in certain pathological conditions, under more complicated situations where multiple organs are involved, this strategy only delivers partial success, and mortality rates due to multiple organ dysfunction are still high. Therefore, identifying an effector molecule that is common to all these pathological challenges might be a more effective strategy in treating the complications involved in endothelial barrier dysfunction, thus improving patient outcome. Our recent findings that endothelial local lamellipodia contribute to endothelial barrier function suggest that therapeutics should maintain or enhance these dynamic structures to successfully reduce microvascular hyperpermeability.

ACKNOWLEDGEMENTS

This work was supported by the National Institute of General Medicine and National Heart, Lung, and Blood Institute of the National Institutes of Health under award numbers R01GM120774 (JWB), R01GM097270 (SYY), R01HL070752 (SYY), and R01HL126646 (SYY). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

REFERENCES

  1. Abu Taha A, Taha M, Seebach J & Schnittler HJ. (2014). ARP2/3-mediated junction-associated lamellipodia control VE-cadherin-based cell junction dynamics and maintain monolayer integrity. Mol Biol Cell 25, 245–256. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Adamson RH, Ly JC, Sarai RK, Lenz JF, Altangerel A, Drenckhahn D & Curry FE. (2008). Epac/Rap1 pathway regulates microvascular hyperpermeability induced by PAF in rat mesentery. Am J Physiol Heart Circ Physiol 294, H1188–1196. [DOI] [PubMed] [Google Scholar]
  3. Adamson RH, Sarai RK, Altangerel A, Thirkill TL, Clark JF & Curry FR. (2010). Sphingosine-1-phosphate modulation of basal permeability and acute inflammatory responses in rat venular microvessels. Cardiovasc Res 88, 344–351. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Adderley SP, Lawrence C, Madonia E, Olubadewo JO & Breslin JW. (2015a). Histamine activates p38 MAP kinase and alters local lamellipodia dynamics, reducing endothelial barrier integrity and eliciting central movement of actin fibers. American journal of physiology Cell physiology 309, C51–59. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Adderley SP, Zhang XE & Breslin JW. (2015b). Involvement of the H1 Histamine Receptor, p38 MAP Kinase, Myosin Light Chains Kinase, and Rho/ROCK in Histamine-Induced Endothelial Barrier Dysfunction. Microcirculation 22, 237–248. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Aramoto H, Breslin JW, Pappas PJ, Hobson RW 2nd & Duran WN. (2004). Vascular endothelial growth factor stimulates differential signaling pathways in in vivo microcirculation. Am J Physiol Heart Circ Physiol 287, H1590–1598. [DOI] [PubMed] [Google Scholar]
  7. Arturson G (1996). Pathophysiology of the burn wound and pharmacological treatment. The Rudi Hermans Lecture, 1995. Burns : journal of the International Society for Burn Injuries 22, 255–274. [DOI] [PubMed] [Google Scholar]
  8. Arturson G (2000). Forty years in burns research - the postburn inflammatory response. Burns : journal of the International Society for Burn Injuries 26, 599–604. [DOI] [PubMed] [Google Scholar]
  9. Ballabh P, Braun A & Nedergaard M. (2004). The blood-brain barrier: an overview: structure, regulation, and clinical implications. Neurobiology of disease 16, 1–13. [DOI] [PubMed] [Google Scholar]
  10. Ballestrem C, Wehrle-Haller B & Imhof BA. (1998). Actin dynamics in living mammalian cells. J Cell Sci 111 (Pt 12), 1649–1658. [DOI] [PubMed] [Google Scholar]
  11. Barsness KA, Arcaroli J, Harken AH, Abraham E, Banerjee A, Reznikov L & McIntyre RC. (2004). Hemorrhage-induced acute lung injury is TLR-4 dependent. Am J Physiol Regul Integr Comp Physiol 287, R592–599. [DOI] [PubMed] [Google Scholar]
  12. Bates DO & Curry FE. (1997). Vascular endothelial growth factor increases microvascular permeability via a Ca(2+)-dependent pathway. Am J Physiol 273, H687–694. [DOI] [PubMed] [Google Scholar]
  13. Baumer Y, Burger S, Curry FE, Golenhofen N, Drenckhahn D & Waschke J. (2008a). Differential role of Rho GTPases in endothelial barrier regulation dependent on endothelial cell origin. Histochemistry and cell biology 129, 179–191. [DOI] [PubMed] [Google Scholar]
  14. Baumer Y, Drenckhahn D & Waschke J. (2008b). cAMP induced Rac 1-mediated cytoskeletal reorganization in microvascular endothelium. Histochem Cell Biol 129, 765–778. [DOI] [PubMed] [Google Scholar]
  15. Baumer Y, Spindler V, Werthmann RC, Bunemann M & Waschke J. (2009). Role of Rac 1 and cAMP in endothelial barrier stabilization and thrombin-induced barrier breakdown. J Cell Physiol 220, 716–726. [DOI] [PubMed] [Google Scholar]
  16. Beard RS Jr, Haines RJ, Wu KY, Reynolds JJ, Davis SM, Elliott JE, Malinin NL, Chatterjee V, Cha BJ, Wu MH & Yuan SY. (2014). Non-muscle Mlck is required for beta-catenin- and FoxO1-dependent downregulation of Cldn5 in IL-1beta-mediated barrier dysfunction in brain endothelial cells. J Cell Sci 127, 1840–1853. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Beard RS Jr, Yang X, Meegan JE, Overstreet JW, Yang CG, Elliott JA, Reynolds JJ, Cha BJ, Pivetti CD, Mitchell DA, Wu MH, Deschenes RJ & Yuan SY. (2016). Palmitoyl acyltransferase DHHC21 mediates endothelial dysfunction in systemic inflammatory response syndrome. Nature communications 7, 12823. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Becker PM, Verin AD, Booth MA, Liu F, Birukova A & Garcia JG. (2001). Differential regulation of diverse physiological responses to VEGF in pulmonary endothelial cells. Am J Physiol Lung Cell Mol Physiol 281, L1500–1511. [DOI] [PubMed] [Google Scholar]
  19. Birukova AA, Adyshev D, Gorshkov B, Bokoch GM, Birukov KG & Verin AD. (2006). GEF-H1 is involved in agonist-induced human pulmonary endothelial barrier dysfunction. Am J Physiol Lung Cell Mol Physiol 290, L540–548. [DOI] [PubMed] [Google Scholar]
  20. Birukova AA, Alekseeva E, Mikaelyan A & Birukov KG. (2007). HGF attenuates thrombin-induced endothelial permeability by Tiam1-mediated activation of the Rac pathway and by Tiam1/Rac-dependent inhibition of the Rho pathway. FASEB J 21, 2776–2786. [DOI] [PubMed] [Google Scholar]
  21. Birukova AA, Burdette D, Moldobaeva N, Xing J, Fu P & Birukov KG. (2010). Rac GTPase is a hub for protein kinase A and Epac signaling in endothelial barrier protection by cAMP. Microvasc Res 79, 128–138. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Birukova AA, Fu P, Xing J & Birukov KG. (2009). Rap1 mediates protective effects of iloprost against ventilator-induced lung injury. J Appl Physiol 107, 1900–1910. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Birukova AA, Smurova K, Birukov KG, Kaibuchi K, Garcia JG & Verin AD. (2004). Role of Rho GTPases in thrombin-induced lung vascular endothelial cells barrier dysfunction. Microvasc Res 67, 64–77. [DOI] [PubMed] [Google Scholar]
  24. Bischoff I, Hornburger MC, Mayer BA, Beyerle A, Wegener J & Furst R. (2016). Pitfalls in assessing microvascular endothelial barrier function: impedance-based devices versus the classic macromolecular tracer assay. Scientific reports 6, 23671. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Bogatcheva NV & Verin AD. (2008). The role of cytoskeleton in the regulation of vascular endothelial barrier function. Microvasc Res 76, 202–207. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Borlongan CV, Lind JG, Dillon-Carter O, Yu G, Hadman M, Cheng C, Carroll J & Hess DC. (2004). Bone marrow grafts restore cerebral blood flow and blood brain barrier in stroke rats. Brain research 1010, 108–116. [DOI] [PubMed] [Google Scholar]
  27. Breslin JW, Daines DA, Doggett TM, Kurtz KH, Souza-Smith FM, Zhang XE, Wu MH & Yuan SY. (2016). Rnd3 as a Novel Target to Ameliorate Microvascular Leakage. J Am Heart Assoc 5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Breslin JW & Kurtz KM. (2009). Lymphatic endothelial cells adapt their barrier function in response to changes in shear stress. Lymphatic research and biology 7, 229–237. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Breslin JW, Pappas PJ, Cerveira JJ, Hobson RW 2nd & Duran WN. (2003). VEGF increases endothelial permeability by separate signaling pathways involving ERK-1/2 and nitric oxide. Am J Physiol Heart Circ Physiol 284, H92–H100. [DOI] [PubMed] [Google Scholar]
  30. Breslin JW, Sun H, Xu W, Rodarte C, Moy AB, Wu MH & Yuan SY. (2006). Involvement of ROCK-mediated endothelial tension development in neutrophil-stimulated microvascular leakage. Am J Physiol Heart Circ Physiol 290, H741–750. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Breslin JW, Wu MH, Guo M, Reynoso R & Yuan SY. (2008). Toll-like receptor 4 contributes to microvascular inflammation and barrier dysfunction in thermal injury. Shock 29, 349–355. [DOI] [PubMed] [Google Scholar]
  32. Breslin JW & Yuan SY. (2004). Involvement of RhoA and Rho kinase in neutrophil-stimulated endothelial hyperpermeability. Am J Physiol Heart Circ Physiol 286, H1057–1062. [DOI] [PubMed] [Google Scholar]
  33. Breslin JW, Zhang XE, Worthylake RA & Souza-Smith FM. (2015). Involvement of local lamellipodia in endothelial barrier function. PLoS One 10, e0117970. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Broughton BR, Reutens DC & Sobey CG. (2009). Apoptotic mechanisms after cerebral ischemia. Stroke; a journal of cerebral circulation 40, e331–339. [DOI] [PubMed] [Google Scholar]
  35. Bruns RR & Palade GE. (1968). Studies on blood capillaries. II. Transport of ferritin molecules across the wall of muscle capillaries. J Cell Biol 37, 277–299. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Campos F, Perez-Mato M, Agulla J, Blanco M, Barral D, Almeida A, Brea D, Waeber C, Castillo J & Ramos-Cabrer P. (2012). Glutamate excitoxicity is the key molecular mechanism which is influenced by body temperature during the acute phase of brain stroke. PloS one 7, e44191. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Carbajal JM, Gratrix ML, Yu CH & Schaeffer RC Jr. (2000). ROCK mediates thrombin’s endothelial barrier dysfunction. Am J Physiol Cell Physiol 279, C195–204. [DOI] [PubMed] [Google Scholar]
  38. Chambers R & Zweifach BW. (1947). Intercellular cement and capillary permeability. Physiol Rev 27, 436–463. [DOI] [PubMed] [Google Scholar]
  39. Chappell D, Jacob M, Paul O, Rehm M, Welsch U, Stoeckelhuber M, Conzen P & Becker BF. (2009). The glycocalyx of the human umbilical vein endothelial cell: an impressive structure ex vivo but not in culture. Circulation research 104, 1313–1317. [DOI] [PubMed] [Google Scholar]
  40. Chatterjee S, Nieman GF, Christie JD & Fisher AB. (2014). Shear stress-related mechanosignaling with lung ischemia: lessons from basic research can inform lung transplantation. Am J Physiol Lung Cell Mol Physiol 307, L668–680. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Chehade JM, Haas MJ & Mooradian AD. (2002). Diabetes-related changes in rat cerebral occludin and zonula occludens-1 (ZO-1) expression. Neurochemical research 27, 249–252. [DOI] [PubMed] [Google Scholar]
  42. Chiang CH, Chuang CH & Liu SL. (2011). Apocynin attenuates ischemia-reperfusion lung injury in an isolated and perfused rat lung model. Transl Res 158, 17–29. [DOI] [PubMed] [Google Scholar]
  43. Childs EW, Tharakan B, Hunter FA, Isong M & Liggins ND. (2008). Mitochondrial complex III is involved in proapoptotic BAK-induced microvascular endothelial cell hyperpermeability. Shock 29, 636–641. [DOI] [PubMed] [Google Scholar]
  44. Childs EW, Tharakan B, Hunter FA, Tinsley JH & Cao X. (2007). Apoptotic signaling induces hyperpermeability following hemorrhagic shock. American journal of physiology Heart and circulatory physiology 292, H3179–3189. [DOI] [PubMed] [Google Scholar]
  45. Choidas A, Jungbluth A, Sechi A, Murphy J, Ullrich A & Marriott G. (1998). The suitability and application of a GFP-actin fusion protein for long-term imaging of the organization and dynamics of the cytoskeleton in mammalian cells. Eur J Cell Biol 77, 81–90. [DOI] [PubMed] [Google Scholar]
  46. Clarke LL. (2009). A guide to Ussing chamber studies of mouse intestine. American journal of physiology Gastrointestinal and liver physiology 296, G1151–1166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Clemmer JS, Xiang L, Lu S, Mittwede PN & Hester RL. (2016). Hyperglycemia-Mediated Oxidative Stress Increases Pulmonary Vascular Permeability. Microcirculation 23, 221–229. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Clough G & Michel CC. (1981). The role of vesicles in the transport of ferritin through frog endothelium. J Physiol 315, 127–142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Corada M, Liao F, Lindgren M, Lampugnani MG, Breviario F, Frank R, Muller WA, Hicklin DJ, Bohlen P & Dejana E. (2001). Monoclonal antibodies directed to different regions of vascular endothelial cadherin extracellular domain affect adhesion and clustering of the protein and modulate endothelial permeability. Blood 97, 1679–1684. [DOI] [PubMed] [Google Scholar]
  50. Corada M, Mariotti M, Thurston G, Smith K, Kunkel R, Brockhaus M, Lampugnani MG, Martin-Padura I, Stoppacciaro A, Ruco L, McDonald DM, Ward PA & Dejana E. (1999). Vascular endothelial-cadherin is an important determinant of microvascular integrity in vivo. Proc Natl Acad Sci U S A 96, 9815–9820. [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Crone C & Christensen O. (1981). Electrical resistance of a capillary endothelium. J Gen Physiol 77, 349–371. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Crone C & Olesen SP. (1982). Electrical resistance of brain microvascular endothelium. Brain Res 241, 49–55. [DOI] [PubMed] [Google Scholar]
  53. Cuevas J, Behensky A, Deng W & Katnik C. (2011). Afobazole modulates neuronal response to ischemia and acidosis via activation of sigma-1 receptors. J Pharmacol Exp Ther 339, 152–160. [DOI] [PubMed] [Google Scholar]
  54. Curry FE & Michel CC. (1980). A fiber matrix model of capillary permeability. Microvasc Res 20, 96–99. [DOI] [PubMed] [Google Scholar]
  55. Daneman R & Prat A. (2015). The blood-brain barrier. Cold Spring Harbor perspectives in biology 7, a020412. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Danuser G (2005). Coupling the dynamics of two actin networks--new views on the mechanics of cell protrusion. Biochem Soc Trans 33, 1250–1253. [DOI] [PubMed] [Google Scholar]
  57. Davalos A, Castillo J, Serena J & Noya M. (1997). Duration of glutamate release after acute ischemic stroke. Stroke 28, 708–710. [DOI] [PubMed] [Google Scholar]
  58. Davidson MK, Russ PK, Glick GG, Hoffman LH, Chang MS & Haselton FR. (2000). Reduced expression of the adherens junction protein cadherin-5 in a diabetic retina. American journal of ophthalmology 129, 267–269. [DOI] [PubMed] [Google Scholar]
  59. Demling RH. (2005). The burn edema process: current concepts. J Burn Care Rehabil 26, 207–227. [PubMed] [Google Scholar]
  60. Dewar D, Moore FA, Moore EE & Balogh Z. (2009). Postinjury multiple organ failure. Injury 40, 912–918. [DOI] [PubMed] [Google Scholar]
  61. Doggett TM, Alves NG, Yuan SY & Breslin JW. (2017). Sphingosine-1-Phosphate Treatment Can Ameliorate Microvascular Leakage Caused by Combined Alcohol Intoxication and Hemorrhagic Shock. Scientific reports 7, 4078. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Doggett TM & Breslin JW. (2011). Study of the Actin Cytoskeleton in Live Endothelial Cells Expressing GFP-Actin. J Vis Exp 57, 3187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Doggett TM & Breslin JW. (2014). Acute alcohol intoxication-induced microvascular leakage. Alcohol Clin Exp Res 38, 2414–2426. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Dongaonkar RM, Laine GA, Stewart RH & Quick CM. (2011). Evaluation of gravimetric techniques to estimate the microvascular filtration coefficient. Am J Physiol Regul Integr Comp Physiol 300, R1426–1436. [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Dostovic Z, Dostovic E, Smajlovic D, Ibrahimagic OC & Avdic L. (2016). Brain Edema After Ischaemic Stroke. Medical archives 70, 339–341. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Drake RE, Smith JH & Gabel JC. (1980). Estimation of the filtration coefficient in intact dog lungs. Am J Physiol 238, H430–438. [DOI] [PubMed] [Google Scholar]
  67. Dudek SM, Chiang ET, Camp SM, Guo Y, Zhao J, Brown ME, Singleton PA, Wang L, Desai A, Arce FT, Lal R, Van Eyk JE, Imam SZ & Garcia JG. (2010). Abl tyrosine kinase phosphorylates nonmuscle Myosin light chain kinase to regulate endothelial barrier function. Mol Biol Cell 21, 4042–4056. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Dudek SM & Garcia JG. (2001). Cytoskeletal regulation of pulmonary vascular permeability. J Appl Physiol 91, 1487–1500. [DOI] [PubMed] [Google Scholar]
  69. Duran WN, Breslin JW & Sanchez FA. (2010). The NO cascade, eNOS location, and microvascular permeability. Cardiovasc Res 87, 254–261. [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Durán WN, Sánchez FA & Breslin JW. (2008). Microcirculatory Exchange Function In Handbook of Physiology: Microcirculation, 2nd edn, ed. Tuma RF, Durán WN & Ley K, pp. 81–124. Academic Press - Elsevier, San Diego, CA. [Google Scholar]
  71. Egawa G, Nakamizo S, Natsuaki Y, Doi H, Miyachi Y & Kabashima K. (2013). Intravital analysis of vascular permeability in mice using two-photon microscopy. Scientific reports 3, 1932. [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Eliceiri BP, Paul R, Schwartzberg PL, Hood JD, Leng J & Cheresh DA. (1999). Selective requirement for Src kinases during VEGF-induced angiogenesis and vascular permeability. Mol Cell 4, 915–924. [DOI] [PubMed] [Google Scholar]
  73. Engelhardt S, Al-Ahmad AJ, Gassmann M & Ogunshola OO. (2014). Hypoxia selectively disrupts brain microvascular endothelial tight junction complexes through a hypoxia-inducible factor-1 (HIF-1) dependent mechanism. J Cell Physiol 229, 1096–1105. [DOI] [PubMed] [Google Scholar]
  74. Feng D, Nagy JA, Hipp J, Dvorak HF & Dvorak AM. (1996). Vesiculo-vacuolar organelles and the regulation of venule permeability to macromolecules by vascular permeability factor, histamine, and serotonin. The Journal of experimental medicine 183, 1981–1986. [DOI] [PMC free article] [PubMed] [Google Scholar]
  75. Gajic O, Dabbagh O, Park PK, Adesanya A, Chang SY, Hou P, Anderson H 3rd, Hoth JJ, Mikkelsen ME, Gentile NT, Gong MN, Talmor D, Bajwa E, Watkins TR, Festic E, Yilmaz M, Iscimen R, Kaufman DA, Esper AM, Sadikot R, Douglas I, Sevransky J & Malinchoc M. (2011). Early identification of patients at risk of acute lung injury: evaluation of lung injury prediction score in a multicenter cohort study. Am J Respir Crit Care Med 183, 462–470. [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Galea J & Brough D. (2013). The role of inflammation and interleukin-1 in acute cerebrovascular disease. Journal of inflammation research 6, 121–128. [DOI] [PMC free article] [PubMed] [Google Scholar]
  77. Garbuzova-Davis S, Rodrigues MC, Hernandez-Ontiveros DG, Tajiri N, Frisina-Deyo A, Boffeli SM, Abraham JV, Pabon M, Wagner A, Ishikawa H, Shinozuka K, Haller E, Sanberg PR, Kaneko Y & Borlongan CV. (2013). Blood-brain barrier alterations provide evidence of subacute diaschisis in an ischemic stroke rat model. PloS one 8, e63553. [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Garcia JG, Davis HW & Patterson CE. (1995). Regulation of endothelial cell gap formation and barrier dysfunction: role of myosin light chain phosphorylation. J Cell Physiol 163, 510–522. [DOI] [PubMed] [Google Scholar]
  79. Garcia JG, Verin AD, Schaphorst K, Siddiqui R, Patterson CE, Csortos C & Natarajan V. (1999). Regulation of endothelial cell myosin light chain kinase by Rho, cortactin, and p60(src). Am J Physiol 276, L989–998. [DOI] [PubMed] [Google Scholar]
  80. Garcia JG, Wang P, Schaphorst KL, Becker PM, Borbiev T, Liu F, Birukova A, Jacobs K, Bogatcheva N & Verin AD. (2002). Critical involvement of p38 MAP kinase in pertussis toxin-induced cytoskeletal reorganization and lung permeability. FASEB J 16, 1064–1076. [DOI] [PubMed] [Google Scholar]
  81. Gaudreault N, Perrin RM, Guo M, Clanton CP, Wu MH & Yuan SY. (2008). Counter regulatory effects of PKCbetaII and PKCdelta on coronary endothelial permeability. Arterioscler Thromb Vasc Biol 28, 1527–1533. [DOI] [PMC free article] [PubMed] [Google Scholar]
  82. Giaever I & Keese CR. (1991). Micromotion of mammalian cells measured electrically. Proc Natl Acad Sci U S A 88, 7896–7900. [DOI] [PMC free article] [PubMed] [Google Scholar]
  83. Giaever I & Keese CR. (1993). A morphological biosensor for mammalian cells. Nature 366, 591–592. [DOI] [PubMed] [Google Scholar]
  84. Gibran NS & Heimbach DM. (1993). Mediators in thermal injury. Seminars in nephrology 13, 344–358. [PubMed] [Google Scholar]
  85. Gilmont RR, Dardano A, Young M, Engle JS, Adamson BS, Smith DJ Jr. & Rees RS. (1998). Effects of glutathione depletion on oxidant-induced endothelial cell injury. J Surg Res 80, 62–68. [DOI] [PubMed] [Google Scholar]
  86. Glass CA, Pocock TM, Curry FE & Bates DO. (2005). Cytosolic Ca2+ concentration and rate of increase of the cytosolic Ca2+ concentration in the regulation of vascular permeability in Rana in vivo. J Physiol 564, 817–827. [DOI] [PMC free article] [PubMed] [Google Scholar]
  87. Goeckeler ZM & Wysolmerski RB. (1995). Myosin light chain kinase-regulated endothelial cell contraction: the relationship between isometric tension, actin polymerization, and myosin phosphorylation. J Cell Biol 130, 613–627. [DOI] [PMC free article] [PubMed] [Google Scholar]
  88. Goldin A, Beckman JA, Schmidt AM & Creager MA. (2006). Advanced glycation end products: sparking the development of diabetic vascular injury. Circulation 114, 597–605. [DOI] [PubMed] [Google Scholar]
  89. Gong MN, Bajwa EK, Thompson BT & Christiani DC. (2010). Body mass index is associated with the development of acute respiratory distress syndrome. Thorax 65, 44–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  90. Gong MN, Thompson BT, Williams P, Pothier L, Boyce PD & Christiani DC. (2005). Clinical predictors of and mortality in acute respiratory distress syndrome: potential role of red cell transfusion. Critical care medicine 33, 1191–1198. [DOI] [PubMed] [Google Scholar]
  91. Guequén A, Carrasco R, Zamorano P, Rebolledo L, Burboa P, Sarmiento J, Boric MP, Korayem A, Durán WN & Sánchez FA. (2016). S-nitrosylation regulates VE-cadherin phosphorylation and internalization in microvascular permeability. Am J Physiol Heart Circ Physiol 310, H1039–1044. [DOI] [PMC free article] [PubMed] [Google Scholar]
  92. Guilfoyle MR, Carpenter KL, Helmy A, Pickard JD, Menon DK & Hutchinson PJ. (2015). Matrix Metalloproteinase Expression in Contusional Traumatic Brain Injury: A Paired Microdialysis Study. Journal of neurotrauma 32, 1553–1559. [DOI] [PMC free article] [PubMed] [Google Scholar]
  93. Guo M, Wu MH, Korompai F & Yuan SY. (2003). Upregulation of PKC genes and isozymes in cardiovascular tissues during early stages of experimental diabetes. Physiological genomics 12, 139–146. [DOI] [PubMed] [Google Scholar]
  94. Guyton AC & Lindsey AW. (1959). Effect of elevated left atrial pressure and decreased plasma protein concentration on the development of pulmonary edema. Circ Res 7, 649–657. [DOI] [PubMed] [Google Scholar]
  95. Hawkins BT & Davis TP. (2005). The blood-brain barrier/neurovascular unit in health and disease. Pharmacol Rev 57, 173–185. [DOI] [PubMed] [Google Scholar]
  96. Hawkins RA. (2009). The blood-brain barrier and glutamate. The American journal of clinical nutrition 90, 867S–874S. [DOI] [PMC free article] [PubMed] [Google Scholar]
  97. He P, Pagakis SN & Curry FE. (1990). Measurement of cytoplasmic calcium in single microvessels with increased permeability. Am J Physiol 258, H1366–1374. [DOI] [PubMed] [Google Scholar]
  98. Henry CB & Duling BR. (1999). Permeation of the luminal capillary glycocalyx is determined by hyaluronan. Am J Physiol 277, H508–514. [DOI] [PubMed] [Google Scholar]
  99. Hollenberg SM. (2011). Vasoactive drugs in circulatory shock. American journal of respiratory and critical care medicine 183, 847–855. [DOI] [PubMed] [Google Scholar]
  100. Hotulainen P & Lappalainen P. (2006). Stress fibers are generated by two distinct actin assembly mechanisms in motile cells. J Cell Biol 173, 383–394. [DOI] [PMC free article] [PubMed] [Google Scholar]
  101. Huang H, Chen YM, Zhu F, Tang ST, Xiao JD, Li LL & Lin XJ. (2015). Down-regulated Na(+)/K(+)-ATPase activity in ischemic penumbra after focal cerebral ischemia/reperfusion in rats. International journal of clinical and experimental pathology 8, 12708–12717. [PMC free article] [PubMed] [Google Scholar]
  102. Huang Q, Xu W, Ustinova E, Wu M, Childs E, Hunter F & Yuan S. (2003). Myosin light chain kinase-dependent microvascular hyperpermeability in thermal injury. Shock 20, 363–368. [DOI] [PubMed] [Google Scholar]
  103. Huang Q & Yuan Y. (1997). Interaction of PKC and NOS in signal transduction of microvascular hyperpermeability. Am J Physiol 273, H2442–2451. [DOI] [PubMed] [Google Scholar]
  104. Huxley VH, Curry FE & Adamson RH. (1987). Quantitative fluorescence microscopy on single capillaries: alpha-lactalbumin transport. Am J Physiol 252, H188–197. [DOI] [PubMed] [Google Scholar]
  105. Ichikawa H, Flores S, Kvietys PR, Wolf RE, Yoshikawa T, Granger DN & Aw TY. (1997). Molecular mechanisms of anoxia/reoxygenation-induced neutrophil adherence to cultured endothelial cells. Circ Res 81, 922–931. [DOI] [PubMed] [Google Scholar]
  106. Ingber DE. (2003). Tensegrity I. Cell structure and hierarchical systems biology. J Cell Sci 116, 1157–1173. [DOI] [PubMed] [Google Scholar]
  107. Jennings MA & Florey L. (1967). An investigation of some properties of endothelium related to capillary permeability. Proc R Soc Lond B Biol Sci 167, 39–63. [DOI] [PubMed] [Google Scholar]
  108. Johansson BR. (1979). Size and distribution of endothelial plasmalemmal vesicles in consecutive segments of the microvasculature in cat skeletal muscle. Microvasc Res 17, 107–117. [DOI] [PubMed] [Google Scholar]
  109. Johnson A, Hocking DC & Ferro TJ. (1990). Mechanisms of pulmonary edema induced by a diacylglycerol second messenger. Am J Physiol 258, H85–91. [DOI] [PubMed] [Google Scholar]
  110. Joo F (1996). Endothelial cells of the brain and other organ systems: some similarities and differences. Progress in neurobiology 48, 255–273. [DOI] [PubMed] [Google Scholar]
  111. Kassner A & Merali Z. (2015). Assessment of Blood-Brain Barrier Disruption in Stroke. Stroke; a journal of cerebral circulation 46, 3310–3315. [DOI] [PubMed] [Google Scholar]
  112. Katnik C, Garcia A, Behensky AA, Yasny IE, Shuster AM, Seredenin SB, Petrov AV, Seifu S, McAleer J, Willing A & Cuevas J. (2014). Treatment with afobazole at delayed time points following ischemic stroke improves long-term functional and histological outcomes. Neurobiology of disease 62, 354–364. [DOI] [PubMed] [Google Scholar]
  113. Katt ME, Xu ZS, Gerecht S & Searson PC. (2016). Human Brain Microvascular Endothelial Cells Derived from the BC1 iPS Cell Line Exhibit a Blood-Brain Barrier Phenotype. PloS one 11, e0152105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  114. Kevil CG, Okayama N & Alexander JS. (2001). H(2)O(2)-mediated permeability II: importance of tyrosine phosphatase and kinase activity. Am J Physiol Cell Physiol 281, C1940–1947. [DOI] [PubMed] [Google Scholar]
  115. Kevil CG, Oshima T, Alexander B, Coe LL & Alexander JS. (2000). H(2)O(2)-mediated permeability: role of MAPK and occludin. Am J Physiol Cell Physiol 279, C21–30. [DOI] [PubMed] [Google Scholar]
  116. Kevil CG, Payne DK, Mire E & Alexander JS. (1998). Vascular permeability factor/vascular endothelial cell growth factor-mediated permeability occurs through disorganization of endothelial junctional proteins. J Biol Chem 273, 15099–15103. [DOI] [PubMed] [Google Scholar]
  117. Kobayashi I, Kim D, Hobson RW 2nd & Duran WN. (1994). Platelet-activating factor modulates microvascular transport by stimulation of protein kinase C. Am J Physiol 266, H1214–1220. [DOI] [PubMed] [Google Scholar]
  118. Koestler SA, Auinger S, Vinzenz M, Rottner K & Small JV. (2008). Differentially oriented populations of actin filaments generated in lamellipodia collaborate in pushing and pausing at the cell front. Nat Cell Biol 10, 306–313. [DOI] [PubMed] [Google Scholar]
  119. Kogure K & Schwartzman RJ. (1980). Seizure propagation and ATP depletion in the rat stroke model. Epilepsia 21, 63–72. [DOI] [PubMed] [Google Scholar]
  120. Kozar RA, Peng Z, Zhang R, Holcomb JB, Pati S, Park P, Ko TC & Paredes A. (2011). Plasma restoration of endothelial glycocalyx in a rodent model of hemorrhagic shock. Anesth Analg 112, 1289–1295. [DOI] [PMC free article] [PubMed] [Google Scholar]
  121. Kremer T, Abe D, Weihrauch M, Peters C, Gebhardt MM, Germann G, Heitmann C & Walther A. (2008). Burn plasma transfer induces burn edema in healthy rats. Shock 30, 394–400. [DOI] [PubMed] [Google Scholar]
  122. Kumar P, Shen Q, Pivetti CD, Lee ES, Wu MH & Yuan SY. (2009). Molecular mechanisms of endothelial hyperpermeability: implications in inflammation. Expert Rev Mol Med 11, e19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  123. Kumar S, Maxwell IZ, Heisterkamp A, Polte TR, Lele TP, Salanga M, Mazur E & Ingber DE. (2006). Viscoelastic retraction of single living stress fibers and its impact on cell shape, cytoskeletal organization, and extracellular matrix mechanics. Biophys J 90, 3762–3773. [DOI] [PMC free article] [PubMed] [Google Scholar]
  124. Kuziemski K, Pienkowska J, Slominski W, Jassem E & Studniarek M. (2015). Pulmonary capillary permeability and pulmonary microangiopathy in diabetes mellitus. Diabetes research and clinical practice 108, e56–59. [DOI] [PubMed] [Google Scholar]
  125. Lakhan SE, Kirchgessner A, Tepper D & Leonard A. (2013). Matrix metalloproteinases and blood-brain barrier disruption in acute ischemic stroke. Frontiers in neurology 4, 32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  126. Lal BK, Varma S, Pappas PJ, Hobson RW 2nd, & Duran WN. (2001). VEGF increases permeability of the endothelial cell monolayer by activation of PKB/akt, endothelial nitric-oxide synthase, and MAP kinase pathways. Microvasc Res 62, 252–262. [DOI] [PubMed] [Google Scholar]
  127. Loane DJ & Kumar A. (2016). Microglia in the TBI brain: The good, the bad, and the dysregulated. Experimental neurology 275 Pt 3, 316–327. [DOI] [PMC free article] [PubMed] [Google Scholar]
  128. Lu KT, Wang YW, Yang JT, Yang YL & Chen HI. (2005). Effect of interleukin-1 on traumatic brain injury-induced damage to hippocampal neurons. Journal of neurotrauma 22, 885–895. [DOI] [PubMed] [Google Scholar]
  129. Lu S, Xiang L, Clemmer JS, Mittwede PN & Hester RL. (2014). Oxidative stress increases pulmonary vascular permeability in diabetic rats through activation of transient receptor potential melastatin 2 channels. Microcirculation 21, 754–760. [DOI] [PMC free article] [PubMed] [Google Scholar]
  130. Luissint AC, Artus C, Glacial F, Ganeshamoorthy K & Couraud PO. (2012). Tight junctions at the blood brain barrier: physiological architecture and disease-associated dysregulation. Fluids and barriers of the CNS 9, 23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  131. Lund T, Onarheim H & Reed RK. (1992). Pathogenesis of edema formation in burn injuries. World J Surg 16, 2–9. [DOI] [PubMed] [Google Scholar]
  132. Luo Y, Xu X, Lele T, Kumar S & Ingber DE. (2008). A multi-modular tensegrity model of an actin stress fiber. J Biomech 41, 2379–2387. [DOI] [PMC free article] [PubMed] [Google Scholar]
  133. Lynch JJ, Ferro TJ, Blumenstock FA, Brockenauer AM & Malik AB. (1990). Increased endothelial albumin permeability mediated by protein kinase C activation. J Clin Invest 85, 1991–1998. [DOI] [PMC free article] [PubMed] [Google Scholar]
  134. Machacek M, Hodgson L, Welch C, Elliott H, Pertz O, Nalbant P, Abell A, Johnson GL, Hahn KM & Danuser G. (2009). Coordination of Rho GTPase activities during cell protrusion. Nature 461, 99–103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  135. Majno G & Palade G. (1961). Studies on inflammation I. The effect of histamine and serotonin on vascular permeability: an electron microscopic study. J Biophys Cytol 11, 597–605. [DOI] [PMC free article] [PubMed] [Google Scholar]
  136. Marin N, Zamorano P, Carrasco R, Mujica P, Gonzalez FG, Quezada C, Meininger CJ, Boric MP, Duran WN & Sanchez FA. (2012). S-Nitrosation of beta-catenin and p120 catenin: a novel regulatory mechanism in endothelial hyperpermeability. Circulation research 111, 553–563. [DOI] [PMC free article] [PubMed] [Google Scholar]
  137. Martinelli R, Kamei M, Sage PT, Massol R, Varghese L, Sciuto T, Toporsian M, Dvorak AM, Kirchhausen T, Springer TA & Carman CV. (2013). Release of cellular tension signals self-restorative ventral lamellipodia to heal barrier micro-wounds. J Cell Biol 201, 449–465. [DOI] [PMC free article] [PubMed] [Google Scholar]
  138. Mayhan WG & Didion SP. (1996). Glutamate-induced disruption of the blood-brain barrier in rats. Role of nitric oxide. Stroke; a journal of cerebral circulation 27, 965–969; discussion 970. [DOI] [PubMed] [Google Scholar]
  139. Mehta D & Malik AB. (2006). Signaling mechanisms regulating endothelial permeability. Physiol Rev 86, 279–367. [DOI] [PubMed] [Google Scholar]
  140. Michel CC. (1984). Fluid movements through capillary walls. In Handbook of Physiology: The Cardiovascular System Microcirculation, pp. 375–409. Am. Physiol. Soc, Bethesda, MD. [Google Scholar]
  141. Miles AA & Miles EM. (1952). Vascular reactions to histamine, histamine-liberator and leukotaxine in the skin of guinea-pigs. J Physiol 118, 228–257. [DOI] [PMC free article] [PubMed] [Google Scholar]
  142. Moss M, Guidot DM, Steinberg KP, Duhon GF, Treece P, Wolken R, Hudson LD & Parsons PE. (2000). Diabetic patients have a decreased incidence of acute respiratory distress syndrome. Critical care medicine 28, 2187–2192. [DOI] [PubMed] [Google Scholar]
  143. Moy AB, Blackwell K & Kamath A. (2002). Differential effects of histamine and thrombin on endothelial barrier function through actin-myosin tension. Am J Physiol Heart Circ Physiol 282, H21–29. [DOI] [PubMed] [Google Scholar]
  144. Moy AB, Shasby SS, Scott BD & Shasby DM. (1993). The effect of histamine and cyclic adenosine monophosphate on myosin light chain phosphorylation in human umbilical vein endothelial cells. J Clin Invest 92, 1198–1206. [DOI] [PMC free article] [PubMed] [Google Scholar]
  145. Moy AB, Van Engelenhoven J, Bodmer J, Kamath J, Keese C, Giaever I, Shasby S & Shasby DM. (1996). Histamine and thrombin modulate endothelial focal adhesion through centripetal and centrifugal forces. J Clin Invest 97, 1020–1027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  146. Mulivor AW & Lipowsky HH. (2002). Role of glycocalyx in leukocyte-endothelial cell adhesion. Am J Physiol Heart Circ Physiol 283, H1282–1291. [DOI] [PubMed] [Google Scholar]
  147. Murray MA, Heistad DD & Mayhan WG. (1991). Role of protein kinase C in bradykinin-induced increases in microvascular permeability. Circ Res 68, 1340–1348. [DOI] [PubMed] [Google Scholar]
  148. Nag S (1995). Role of the endothelial cytoskeleton in blood-brain-barrier permeability to protein. Acta neuropathologica 90, 454–460. [DOI] [PubMed] [Google Scholar]
  149. Nishizawa Y (2001). Glutamate release and neuronal damage in ischemia. Life Sci 69, 369–381. [DOI] [PubMed] [Google Scholar]
  150. Nwariaku FE, Chang J, Zhu X, Liu Z, Duffy SL, Halaihel NH, Terada L & Turnage RH. (2002). The role of p38 map kinase in tumor necrosis factor-induced redistribution of vascular endothelial cadherin and increased endothelial permeability. Shock 18, 82–85. [DOI] [PubMed] [Google Scholar]
  151. Olesen SP & Crone C. (1983). Electrical resistance of muscle capillary endothelium. Biophys J 42, 31–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  152. Otero K, Martinez F, Beltran A, Gonzalez D, Herrera B, Quintero G, Delgado R & Rojas A. (2001). Albumin-derived advanced glycation end-products trigger the disruption of the vascular endothelial cadherin complex in cultured human and murine endothelial cells. The Biochemical journal 359, 567–574. [DOI] [PMC free article] [PubMed] [Google Scholar]
  153. Patel AR, Ritzel R, McCullough LD & Liu F. (2013). Microglia and ischemic stroke: a double-edged sword. International journal of physiology, pathophysiology and pharmacology 5, 73–90. [PMC free article] [PubMed] [Google Scholar]
  154. Paul R, Zhang ZG, Eliceiri BP, Jiang Q, Boccia AD, Zhang RL, Chopp M & Cheresh DA. (2001). Src deficiency or blockade of Src activity in mice provides cerebral protection following stroke. Nat Med 7, 222–227. [DOI] [PubMed] [Google Scholar]
  155. Pellegrin S & Mellor H. (2007). Actin stress fibres. J Cell Sci 120, 3491–3499. [DOI] [PubMed] [Google Scholar]
  156. Peng Z, Pati S, Potter D, Brown R, Holcomb JB, Grill R, Wataha K, Park PW, Xue H & Kozar RA. (2013). Fresh frozen plasma lessens pulmonary endothelial inflammation and hyperpermeability after hemorrhagic shock and is associated with loss of syndecan 1. Shock 40, 195–202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  157. Persidsky Y, Ramirez SH, Haorah J & Kanmogne GD. (2006). Blood-brain barrier: structural components and function under physiologic and pathologic conditions. Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology 1, 223–236. [DOI] [PubMed] [Google Scholar]
  158. Pocock TM, Foster RR & Bates DO. (2004). Evidence of a role for TRPC channels in VEGF-mediated increased vascular permeability in vivo. Am J Physiol Heart Circ Physiol 286, H1015–1026. [DOI] [PubMed] [Google Scholar]
  159. Pocock TM, Williams B, Curry FE & Bates DO. (2000). VEGF and ATP act by different mechanisms to increase microvascular permeability and endothelial [Ca(2+)](i). Am J Physiol Heart Circ Physiol 279, H1625–1634. [DOI] [PubMed] [Google Scholar]
  160. Price L, Wilson C & Grant G. (2016). Blood-Brain Barrier Pathophysiology following Traumatic Brain Injury In Translational Research in Traumatic Brain Injury, ed. Laskowitz D & Grant G. Boca Raton (FL). [PubMed] [Google Scholar]
  161. Ranieri VM, Rubenfeld GD, Thompson BT, Ferguson ND, Caldwell E, Fan E, Camporota L & Slutsky AS. (2012). Acute respiratory distress syndrome: the Berlin Definition. JAMA : the journal of the American Medical Association 307, 2526–2533. [DOI] [PubMed] [Google Scholar]
  162. Rehm M, Bruegger D, Christ F, Conzen P, Thiel M, Jacob M, Chappell D, Stoeckelhuber M, Welsch U, Reichart B, Peter K & Becker BF. (2007). Shedding of the endothelial glycocalyx in patients undergoing major vascular surgery with global and regional ischemia. Circulation 116, 1896–1906. [DOI] [PubMed] [Google Scholar]
  163. Reitsma S, Slaaf DW, Vink H, van Zandvoort MA & oude Egbrink MG. (2007). The endothelial glycocalyx: composition, functions, and visualization. Pflugers Archiv : European journal of physiology 454, 345–359. [DOI] [PMC free article] [PubMed] [Google Scholar]
  164. Reynoso R, Perrin RM, Breslin JW, Daines DA, Watson KD, Watterson DM, Wu MH & Yuan S. (2007). A role for long chain myosin light chain kinase (MLCK-210) in microvascular hyperpermeability during severe burns. Shock 28, 589–595. [DOI] [PubMed] [Google Scholar]
  165. Rigor RR, Beard RS Jr, Litovka OP & Yuan SY. (2012). Interleukin-1beta-induced barrier dysfunction is signaled through PKC-theta in human brain microvascular endothelium. Am J Physiol Cell Physiol 302, C1513–1522. [DOI] [PMC free article] [PubMed] [Google Scholar]
  166. Salameh A, Zinn M & Dhein S. (1997). High D-glucose induces alterations of endothelial cell structure in a cell-culture model. J Cardiovasc Pharmacol 30, 182–190. [DOI] [PubMed] [Google Scholar]
  167. Sammani S, Moreno-Vinasco L, Mirzapoiazova T, Singleton PA, Chiang ET, Evenoski CL, Wang T, Mathew B, Husain A, Moitra J, Sun X, Nunez L, Jacobson JR, Dudek SM, Natarajan V & Garcia JG. (2010). Differential effects of sphingosine 1-phosphate receptors on airway and vascular barrier function in the murine lung. Am J Respir Cell Mol Biol 43, 394–402. [DOI] [PMC free article] [PubMed] [Google Scholar]
  168. Sánchez FA, Ehrenfeld IP & Durán WN. (2013). S-nitrosation of proteins: An emergent regulatory mechanism in microvascular permeability and vascular function. Tissue Barriers 1, e23896. [DOI] [PMC free article] [PubMed] [Google Scholar]
  169. Sánchez FA, Rana R, Gonzalez FG, Iwahashi T, Duran RG, Fulton DJ, Beuve AV, Kim DD & Durán WN. (2011). Functional significance of cytosolic endothelial nitric-oxide synthase (eNOS): regulation of hyperpermeability. J Biol Chem 286, 30409–30414. [DOI] [PMC free article] [PubMed] [Google Scholar]
  170. Sánchez FA, Rana R, Kim DD, Iwahashi T, Zheng R, Lal BK, Gordon DM, Meininger CJ & Durán WN. (2009). Internalization of eNOS and NO delivery to subcellular targets determine agonist-induced hyperpermeability. Proc Natl Acad Sci U S A 106, 6849–6853. [DOI] [PMC free article] [PubMed] [Google Scholar]
  171. Sanchez FA, Savalia NB, Duran RG, Lal BK, Boric MP & Duran WN. (2006). Functional significance of differential eNOS translocation. American journal of physiology Heart and circulatory physiology 291, H1058–1064. [DOI] [PMC free article] [PubMed] [Google Scholar]
  172. Sandoval R, Malik AB, Minshall RD, Kouklis P, Ellis CA & Tiruppathi C. (2001a). Ca(2+) signalling and PKCalpha activate increased endothelial permeability by disassembly of VE-cadherin junctions. J Physiol 533, 433–445. [DOI] [PMC free article] [PubMed] [Google Scholar]
  173. Sandoval R, Malik AB, Naqvi T, Mehta D & Tiruppathi C. (2001b). Requirement for Ca2+ signaling in the mechanism of thrombin-induced increase in endothelial permeability. Am J Physiol Lung Cell Mol Physiol 280, L239–247. [DOI] [PubMed] [Google Scholar]
  174. Sato M, Sasaki N, Ato M, Hirakawa S, Sato K & Sato K. (2015). Microcirculation-on-a-Chip: A Microfluidic Platform for Assaying Blood- and Lymphatic-Vessel Permeability. PloS one 10, e0137301. [DOI] [PMC free article] [PubMed] [Google Scholar]
  175. Saunders NR, Dziegielewska KM, Mollgard K & Habgood MD. (2015). Markers for blood-brain barrier integrity: how appropriate is Evans blue in the twenty-first century and what are the alternatives? Frontiers in neuroscience 9, 385. [DOI] [PMC free article] [PubMed] [Google Scholar]
  176. Sawant DA, Tharakan B, Hunter FA & Childs EW. (2014). The role of intrinsic apoptotic signaling in hemorrhagic shock-induced microvascular endothelial cell barrier dysfunction. Journal of cardiovascular translational research 7, 711–718. [DOI] [PubMed] [Google Scholar]
  177. Scallan JP, Davis MJ & Huxley VH. (2013). Permeability and contractile responses of collecting lymphatic vessels elicited by atrial and brain natriuretic peptides. J Physiol 591, 5071–5081. [DOI] [PMC free article] [PubMed] [Google Scholar]
  178. Scallan JP & Huxley VH. (2010). In vivo determination of collecting lymphatic vessel permeability to albumin: a role for lymphatics in exchange. J Physiol 588, 243–254. [DOI] [PMC free article] [PubMed] [Google Scholar]
  179. Schlegel N, Baumer Y, Drenckhahn D & Waschke J. (2009). Lipopolysaccharide-induced endothelial barrier breakdown is cyclic adenosine monophosphate dependent in vivo and in vitro. Crit Care Med 37, 1735–1743. [DOI] [PubMed] [Google Scholar]
  180. Schlegel N & Waschke J. (2009). Impaired cAMP and Rac 1 signaling contribute to TNF-alpha-induced endothelial barrier breakdown in microvascular endothelium. Microcirculation 16, 521–533. [DOI] [PubMed] [Google Scholar]
  181. Seebach J, Dieterich P, Luo F, Schillers H, Vestweber D, Oberleithner H, Galla HJ & Schnittler HJ. (2000). Endothelial barrier function under laminar fluid shear stress. Laboratory investigation; a journal of technical methods and pathology 80, 1819–1831. [DOI] [PubMed] [Google Scholar]
  182. Sheldon R, Moy A, Lindsley K, Shasby S & Shasby DM. (1993). Role of myosin light-chain phosphorylation in endothelial cell retraction. Am J Physiol 265, L606–612. [DOI] [PubMed] [Google Scholar]
  183. Shen Q, Rigor RR, Pivetti CD, Wu MH & Yuan SY. (2010). Myosin light chain kinase in microvascular endothelial barrier function. Cardiovasc Res 87, 272–280. [DOI] [PMC free article] [PubMed] [Google Scholar]
  184. Shen Q, Wu MH & Yuan SY. (2009). Endothelial contractile cytoskeleton and microvascular permeability. Cell health and cytoskeleton 2009, 43–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  185. Shi Y, Zhang L, Pu H, Mao L, Hu X, Jiang X, Xu N, Stetler RA, Zhang F, Liu X, Leak RK, Keep RF, Ji X & Chen J. (2016). Rapid endothelial cytoskeletal reorganization enables early blood-brain barrier disruption and long-term ischaemic reperfusion brain injury. Nature communications 7, 10523. [DOI] [PMC free article] [PubMed] [Google Scholar]
  186. Sill HW, Chang YS, Artman JR, Frangos JA, Hollis TM & Tarbell JM. (1995). Shear stress increases hydraulic conductivity of cultured endothelial monolayers. The American journal of physiology 268, H535–543. [DOI] [PubMed] [Google Scholar]
  187. Simionescu M & Simionescu N. (1984). Ultrastructure of the microvascular wall: functional correlations In Handbook of Physiology: The Cardiovascular System Microcirculation, 2nd Ed. edn, ed. Renkin EM & Michel CC, pp. 41–101. American Physiological Society, Bethesda, MD. [Google Scholar]
  188. Singleton PA, Dudek SM, Chiang ET & Garcia JG. (2005). Regulation of sphingosine 1-phosphate-induced endothelial cytoskeletal rearrangement and barrier enhancement by S1P1 receptor, PI3 kinase, Tiam1/Rac1, and alpha-actinin. FASEB J 19, 1646–1656. [DOI] [PubMed] [Google Scholar]
  189. Spindler V, Schlegel N & Waschke J. (2010). Role of GTPases in control of microvascular permeability. Cardiovasc Res 87, 243–253. [DOI] [PubMed] [Google Scholar]
  190. Srigunapalan S, Lam C, Wheeler AR & Simmons CA. (2011). A microfluidic membrane device to mimic critical components of the vascular microenvironment. Biomicrofluidics 5, 13409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  191. Srinivasan B, Kolli AR, Esch MB, Abaci HE, Shuler ML & Hickman JJ. (2015). TEER measurement techniques for in vitro barrier model systems. Journal of laboratory automation 20, 107–126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  192. Sun H, Breslin JW, Zhu J, Yuan SY & Wu MH. (2006). Rho and ROCK signaling in VEGF-induced microvascular endothelial hyperpermeability. Microcirculation 13, 237–247. [DOI] [PubMed] [Google Scholar]
  193. Thomas A, Wang S, Sohrabi S, Orr C, He R, Shi W & Liu Y. (2017). Characterization of vascular permeability using a biomimetic microfluidic blood vessel model. Biomicrofluidics 11, 024102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  194. Tinsley JH, Breslin JW, Teasdale NR & Yuan SY. (2005). PKC-dependent, burn-induced adherens junction reorganization and barrier dysfunction in pulmonary microvascular endothelial cells. Am J Physiol Lung Cell Mol Physiol 289, L217–L223. [DOI] [PubMed] [Google Scholar]
  195. Tinsley JH, De Lanerolle P, Wilson E, Ma W & Yuan SY. (2000). Myosin light chain kinase transference induces myosin light chain activation and endothelial hyperpermeability. Am J Physiol Cell Physiol 279, C1285–1289. [DOI] [PubMed] [Google Scholar]
  196. Tinsley JH, Teasdale NR & Yuan SY. (2004a). Involvement of PKCdelta and PKD in pulmonary microvascular endothelial cell hyperpermeability. Am J Physiol Cell Physiol 286, C105–111. [DOI] [PubMed] [Google Scholar]
  197. Tinsley JH, Teasdale NR & Yuan SY. (2004b). Myosin light chain phosphorylation and pulmonary endothelial cell hyperpermeability in burns. Am J Physiol Lung Cell Mol Physiol 286, L841–847. [DOI] [PubMed] [Google Scholar]
  198. Tinsley JH, Ustinova EE, Xu W & Yuan SY. (2002). Src-dependent, neutrophil-mediated vascular hyperpermeability and beta-catenin modification. Am J Physiol Cell Physiol 283, C1745–1751. [DOI] [PubMed] [Google Scholar]
  199. Tomkins O, Feintuch A, Benifla M, Cohen A, Friedman A & Shelef I. (2011). Blood-brain barrier breakdown following traumatic brain injury: a possible role in posttraumatic epilepsy. Cardiovascular psychiatry and neurology 2011, 765923. [DOI] [PMC free article] [PubMed] [Google Scholar]
  200. Torres Filho I, Torres LN, Sondeen JL, Polykratis IA & Dubick MA. (2013). In vivo evaluation of venular glycocalyx during hemorrhagic shock in rats using intravital microscopy. Microvasc Res 85, 128–133. [DOI] [PubMed] [Google Scholar]
  201. Torres Filho IP, Torres LN, Salgado C & Dubick MA. (2016). Plasma syndecan-1 and heparan sulfate correlate with microvascular glycocalyx degradation in hemorrhaged rats after different resuscitation fluids. Am J Physiol Heart Circ Physiol 310, H1468–1478. [DOI] [PubMed] [Google Scholar]
  202. Townsley MI, King JA & Alvarez DF. (2006). Ca2+ channels and pulmonary endothelial permeability: insights from study of intact lung and chronic pulmonary hypertension. Microcirculation 13, 725–739. [DOI] [PubMed] [Google Scholar]
  203. Uhlig S, Yang Y, Waade J, Wittenberg C, Babendreyer A & Kuebler WM. (2014). Differential regulation of lung endothelial permeability in vitro and in situ. Cellular physiology and biochemistry : international journal of experimental cellular physiology, biochemistry, and pharmacology 34, 1–19. [DOI] [PubMed] [Google Scholar]
  204. van den Berg BM, Vink H & Spaan JA. (2003). The endothelial glycocalyx protects against myocardial edema. Circ Res 92, 592–594. [DOI] [PubMed] [Google Scholar]
  205. van Nieuw Amerongen GP, van Delft S, Vermeer MA, Collard JG & van Hinsbergh VW. (2000). Activation of RhoA by thrombin in endothelial hyperpermeability: role of Rho kinase and protein tyrosine kinases. Circ Res 87, 335–340. [DOI] [PubMed] [Google Scholar]
  206. van Sorge NM & Doran KS. (2012). Defense at the border: the blood-brain barrier versus bacterial foreigners. Future microbiology 7, 383–394. [DOI] [PMC free article] [PubMed] [Google Scholar]
  207. Varma S, Breslin JW, Lal BK, Pappas PJ, Hobson RW 2nd & Duran WN. (2002). p42/44MAPK regulates baseline permeability and cGMP-induced hyperpermeability in endothelial cells. Microvasc Res 63, 172–178. [DOI] [PubMed] [Google Scholar]
  208. Verin AD, Liu F, Bogatcheva N, Borbiev T, Hershenson MB, Wang P & Garcia JG. (2000). Role of ras-dependent ERK activation in phorbol ester-induced endothelial cell barrier dysfunction. Am J Physiol Lung Cell Mol Physiol 279, L360–370. [DOI] [PubMed] [Google Scholar]
  209. Verin AD, Patterson CE, Day MA & Garcia JG. (1995). Regulation of endothelial cell gap formation and barrier function by myosin-associated phosphatase activities. Am J Physiol 269, L99–108. [DOI] [PubMed] [Google Scholar]
  210. Vespa PM. (2016). Brain Hypoxia and Ischemia After Traumatic Brain Injury: Is Oxygen the Right Metabolic Target? JAMA neurology 73, 504–505. [DOI] [PubMed] [Google Scholar]
  211. Vink H & Duling BR. (2000). Capillary endothelial surface layer selectively reduces plasma solute distribution volume. Am J Physiol Heart Circ Physiol 278, H285–289. [DOI] [PubMed] [Google Scholar]
  212. Wainwright MS, Rossi J, Schavocky J, Crawford S, Steinhorn D, Velentza AV, Zasadzki M, Shirinsky V, Jia Y, Haiech J, Van Eldik LJ & Watterson DM. (2003). Protein kinase involved in lung injury susceptibility: evidence from enzyme isoform genetic knockout and in vivo inhibitor treatment. Proc Natl Acad Sci U S A 100, 6233–6238. [DOI] [PMC free article] [PubMed] [Google Scholar]
  213. Wang HL & Lai TW. (2014). Optimization of Evans blue quantitation in limited rat tissue samples. Scientific reports 4, 6588. [DOI] [PMC free article] [PubMed] [Google Scholar]
  214. Wang L, Wu J, Guo X, Huang X & Huang Q. (2017). RAGE Plays a Role in LPS-Induced NF-kappaB Activation and Endothelial Hyperpermeability. Sensors (Basel) 17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  215. Wang S, Huang Q, Guo X, Brunk UT, Han J, Zhao K & Zhao M. (2010). The P38alpha and P38delta MAP kinases may be gene therapy targets in the future treatment of severe burns. Shock 34, 176–182. [DOI] [PubMed] [Google Scholar]
  216. Wang Y, Jin S, Sonobe Y, Cheng Y, Horiuchi H, Parajuli B, Kawanokuchi J, Mizuno T, Takeuchi H & Suzumura A. (2014). Interleukin-1beta induces blood-brain barrier disruption by downregulating Sonic hedgehog in astrocytes. PloS one 9, e110024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  217. Ward BJ & al-Haboubi HA. (1997). Structural changes in the cardiac microvasculature of the rat in response to acute high glucose levels: a comparison with diabetes. Microcirculation 4, 429–437. [DOI] [PubMed] [Google Scholar]
  218. Ward BJ & Donnelly JL. (1993). Hypoxia induced disruption of the cardiac endothelial glycocalyx: implications for capillary permeability. Cardiovasc Res 27, 384–389. [DOI] [PubMed] [Google Scholar]
  219. Waschke J, Baumgartner W, Adamson RH, Zeng M, Aktories K, Barth H, Wilde C, Curry FE & Drenckhahn D. (2004a). Requirement of Rac activity for maintenance of capillary endothelial barrier properties. Am J Physiol Heart Circ Physiol 286, H394–401. [DOI] [PubMed] [Google Scholar]
  220. Waschke J, Burger S, Curry FR, Drenckhahn D & Adamson RH. (2006). Activation of Rac-1 and Cdc42 stabilizes the microvascular endothelial barrier. Histochemistry and cell biology 125, 397–406. [DOI] [PubMed] [Google Scholar]
  221. Waschke J, Drenckhahn D, Adamson RH, Barth H & Curry FE. (2004b). cAMP protects endothelial barrier functions by preventing Rac-1 inhibition. Am J Physiol Heart Circ Physiol 287, H2427–2433. [DOI] [PubMed] [Google Scholar]
  222. Waschke J, Drenckhahn D, Adamson RH & Curry FE. (2004c). Role of adhesion and contraction in Rac 1-regulated endothelial barrier function in vivo and in vitro. Am J Physiol Heart Circ Physiol 287, H704–711. [DOI] [PubMed] [Google Scholar]
  223. Wojciak-Stothard B, Potempa S, Eichholtz T & Ridley AJ. (2001). Rho and Rac but not Cdc42 regulate endothelial cell permeability. J Cell Sci 114, 1343–1355. [DOI] [PubMed] [Google Scholar]
  224. Wu HM, Huang Q, Yuan Y & Granger HJ. (1996). VEGF induces NO-dependent hyperpermeability in coronary venules. Am J Physiol 271, H2735–2739. [DOI] [PubMed] [Google Scholar]
  225. Wu MH. (2005). Endothelial focal adhesions and barrier function. J Physiol 569, 359–366. [DOI] [PMC free article] [PubMed] [Google Scholar]
  226. Wu MH, Yuan SY & Granger HJ. (2005). The protein kinase MEK1/2 mediate vascular endothelial growth factor- and histamine-induced hyperpermeability in porcine coronary venules. J Physiol 563, 95–104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  227. Wu S, Jian MY, Xu YC, Zhou C, Al-Mehdi AB, Liedtke W, Shin HS & Townsley MI. (2009). Ca2+ entry via alpha1G and TRPV4 channels differentially regulates surface expression of P-selectin and barrier integrity in pulmonary capillary endothelium. Am J Physiol Lung Cell Mol Physiol 297, L650–657. [DOI] [PMC free article] [PubMed] [Google Scholar]
  228. Wu W, Huang Q, He F, Xiao M, Pang S, Guo X, Brunk UT, Zhao K & Zhao M. (2011). Roles of mitogen-activated protein kinases in the modulation of endothelial cell function following thermal injury. Shock 35, 618–625. [DOI] [PubMed] [Google Scholar]
  229. Xhima K, Weber-Adrian D & Silburt J. (2016). Glutamate Induces Blood-Brain Barrier Permeability through Activation of N-Methyl-D-Aspartate Receptors. The Journal of neuroscience : the official journal of the Society for Neuroscience 36, 12296–12298. [DOI] [PMC free article] [PubMed] [Google Scholar]
  230. Xu M, Waters CL, Hu C, Wysolmerski RB, Vincent PA & Minnear FL. (2007). Sphingosine 1-phosphate rapidly increases endothelial barrier function independently of VE-cadherin but requires cell spreading and Rho kinase. Am J Physiol Cell Physiol 293, C1309–1318. [DOI] [PubMed] [Google Scholar]
  231. Yang Y & Rosenberg GA. (2011). Blood-brain barrier breakdown in acute and chronic cerebrovascular disease. Stroke 42, 3323–3328. [DOI] [PMC free article] [PubMed] [Google Scholar]
  232. Yen LF, Wei VC, Kuo EY & Lai TW. (2013). Distinct patterns of cerebral extravasation by Evans blue and sodium fluorescein in rats. PLoS One 8, e68595. [DOI] [PMC free article] [PubMed] [Google Scholar]
  233. Yenari MA, Kauppinen TM & Swanson RA. (2010). Microglial activation in stroke: therapeutic targets. Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics 7, 378–391. [DOI] [PMC free article] [PubMed] [Google Scholar]
  234. Yoon JH, Lee ES & Jeong Y. (2017). In vivo Imaging of the Cerebral Endothelial Glycocalyx in Mice. Journal of vascular research 54, 59–67. [DOI] [PubMed] [Google Scholar]
  235. Young EW, Watson MW, Srigunapalan S, Wheeler AR & Simmons CA. (2010). Technique for real-time measurements of endothelial permeability in a microfluidic membrane chip using laser-induced fluorescence detection. Analytical chemistry 82, 808–816. [DOI] [PubMed] [Google Scholar]
  236. Yu P, Hatakeyama T, Aramoto H, Miyata T, Shigematsu H, Nagawa H, Hobson RW & Duran WN. (2005a). Mitogen-activated protein kinases regulate platelet-activating factor-induced hyperpermeability. Microcirculation 12, 637–643. [DOI] [PMC free article] [PubMed] [Google Scholar]
  237. Yu PK, Yu DY, Cringle SJ & Su EN. (2005b). Endothelial F-actin cytoskeleton in the retinal vasculature of normal and diabetic rats. Current eye research 30, 279–290. [DOI] [PubMed] [Google Scholar]
  238. Yuan SY, Breslin JW, Perrin R, Gaudreault N, Guo M, Kargozaran H & Wu MH. (2007). Microvascular permeability in diabetes and insulin resistance. Microcirculation 14, 363–373. [DOI] [PubMed] [Google Scholar]
  239. Yuan SY & Rigor RR. (2010). Regulation of Endothelial Barrier Function. Morgan & Claypool Life Sciences, San Rafael (CA). [PubMed] [Google Scholar]
  240. Yuan SY, Ustinova EE, Wu MH, Tinsley JH, Xu W, Korompai FL & Taulman AC. (2000). Protein kinase C activation contributes to microvascular barrier dysfunction in the heart at early stages of diabetes. Circ Res 87, 412–417. [DOI] [PubMed] [Google Scholar]
  241. Yuan SY, Wu MH, Ustinova EE, Guo M, Tinsley JH, De Lanerolle P & Xu W. (2002). Myosin light chain phosphorylation in neutrophil-stimulated coronary microvascular leakage. Circ Res 90, 1214–1221. [DOI] [PubMed] [Google Scholar]
  242. Yuan Y, Chilian WM, Granger HJ & Zawieja DC. (1993a). Permeability to albumin in isolated coronary venules. Am J Physiol 265, H543–552. [DOI] [PubMed] [Google Scholar]
  243. Yuan Y, Granger HJ, Zawieja DC & Chilian WM. (1992). Flow modulates coronary venular permeability by a nitric oxide-related mechanism. Am J Physiol 263, H641–646. [DOI] [PubMed] [Google Scholar]
  244. Yuan Y, Granger HJ, Zawieja DC, DeFily DV & Chilian WM. (1993b). Histamine increases venular permeability via a phospholipase C-NO synthase-guanylate cyclase cascade. Am J Physiol 264, H1734–1739. [DOI] [PubMed] [Google Scholar]
  245. Yuan Y, Huang Q & Wu HM. (1997). Myosin light chain phosphorylation: modulation of basal and agonist-stimulated venular permeability. Am J Physiol 272, H1437–1443. [DOI] [PubMed] [Google Scholar]
  246. Zhang WJ, Li PX, Guo XH & Huang QB. (2017). Role of moesin, Src and ROS in Advanced Glycation End Product-induced Vascular Endothelial Dysfunction. Microcirculation. [DOI] [PubMed] [Google Scholar]
  247. Zhang XE, Adderley SP & Breslin JW. (2016). Activation of RhoA, but Not Rac1, Mediates Early Stages of S1P-Induced Endothelial Barrier Enhancement. PloS one 11, e0155490. [DOI] [PMC free article] [PubMed] [Google Scholar]
  248. Zhao J, Chen L, Shu B, Tang J, Zhang L, Xie J, Liu X, Xu Y & Qi S. (2015). Granulocyte/macrophage colony-stimulating factor attenuates endothelial hyperpermeability after thermal injury. American journal of translational research 7, 474–488. [PMC free article] [PubMed] [Google Scholar]
  249. Zhou X, Weng J, Xu J, Xu Q, Wang W, Zhang W, Huang Q & Guo X. (2018). Mdia1 is Crucial for Advanced Glycation End Product-Induced Endothelial Hyperpermeability. Cellular physiology and biochemistry : international journal of experimental cellular physiology, biochemistry, and pharmacology 45, 1717–1730. [DOI] [PubMed] [Google Scholar]
  250. Zhu J, Li X, Yin J, Hu Y, Gu Y & Pan S. (2017). Glycocalyx degradation leads to blood-brain barrier dysfunction and brain edema after asphyxia cardiac arrest in rats. J Cereb Blood Flow Metab, 271678X17726062. [DOI] [PMC free article] [PubMed] [Google Scholar]

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