Abstract
In severe traumatic brain injury (TBI), contusions often are worsened by contusion expansion or hemorrhagic progression of contusion (HPC), which may double the original contusion volume and worsen outcome. In humans and rodents with contusion-TBI, sulfonylurea receptor 1 (SUR1) is upregulated in microvessels and astrocytes, and in rodent models, blockade of SUR1 with glibenclamide reduces HPC. SUR1 does not function by itself, but must co-assemble with either KIR6.2 or transient receptor potential cation channel subfamily M member 4 (TRPM4) to form KATP (SUR1-KIR6.2) or SUR1-TRPM4 channels, with the two having opposite effects on membrane potential. Both KIR6.2 and TRPM4 are reportedly upregulated in TBI, especially in astrocytes, but the identity and function of SUR1-regulated channels post-TBI is unknown. Here, we analyzed human and rat brain tissues after contusion-TBI to characterize SUR1, TRPM4, and KIR6.2 expression, and in the rat model, to examine the effects on HPC of inhibiting expression of the three subunits using intravenous antisense oligodeoxynucleotides (AS-ODN). Glial fibrillary acidic protein (GFAP) immunoreactivity was used to operationally define core versus penumbral tissues. In humans and rats, GFAP-negative core tissues contained microvessels that expressed SUR1 and TRPM4, whereas GFAP-positive penumbral tissues contained astrocytes that expressed all three subunits. Förster resonance energy transfer imaging demonstrated SUR1-TRPM4 heteromers in endothelium, and SUR1-TRPM4 and SUR1-KIR6.2 heteromers in astrocytes. In rats, glibenclamide as well as AS-ODN targeting SUR1 and TRPM4, but not KIR6.2, reduced HPC at 24 h post-TBI. Our findings demonstrate upregulation of SUR1-TRPM4 and KATP after contusion-TBI, identify SUR1-TRPM4 as the primary molecular mechanism that accounts for HPC, and indicate that SUR1-TRPM4 is a crucial target of glibenclamide.
Keywords: brain contusion, brain swelling, glibenclamide, hemorrhagic progression of contusion, KATP, SUR1-TRPM4, traumatic brain injury
Introduction
The most common mass lesions associated with traumatic brain injury (TBI) are hemorrhagic brain contusions (BCs), also called traumatic intracerebral hematomas, which occur in 13–35% of patients following moderate-to-severe TBI.1–3 BCs remain a serious clinical problem because of their associated morbidity. Mechanical loading (i.e., applied mechanical forces) physically destroy brain tissues and trigger mechanosensitive processes that initiate secondary injury cascades in the surrounding penumbra, most importantly, contusion expansion, or “hemorrhagic progression of contusion” (HPC). HPC is not simply an intracerebral hematoma that expands from a point source, compressing normal brain, but instead is characterized by a progressive increase in the volume of brain undergoing hemorrhagic transformation.4,5
HPC occurs during the first few hours after trauma, and the pericontusional zone or “penumbra” is a key driver of this progression. An expanding hemorrhage post-TBI may be linked to coagulopathy or platelet dysfunction,6 but absent these causes, HPC is attributed to the catastrophic structural failure of microvessels.4,5 Dysfunction or death of microvascular endothelial cells in the penumbra results in the fragmentation of microvessels, leading to the formation of petechial hemorrhages.7 Experimental work has shown that, as microvascular fragmentation progresses outward from the initial site of contusion, petechial hemorrhages coalesce, eventually doubling the original contusion volume over the course of 12 h after trauma.4 In humans with BCs, HPC occurs in 50–75% of cases, hemorrhagic lesion volumes expand 50% or more with an average expansion rate of 0.7 mL per hour, and increased expansion rates are significantly associated with poor outcome or death.3,8,9
HPC is of vital clinical importance. HPC not only destroys brain tissue, but it also causes brain swelling, the strongest prognostic indicator of poor outcome in TBI.10,11 In TBI, brain swelling arises from the combined space-occupying effects of extracellular edema fluid, cellular swelling, extravasated blood, and other processes. Edema, which is recognized as a major contributor to brain swelling, can be treated using osmotherapeutic agents such as mannitol and hypertonic saline. By contrast, extravasated blood, which arises from both the initial contusion and from HPC, and which also is a major contributor to brain swelling, currently has no clinical treatment. Reducing HPC could significantly impact brain swelling in BC.
The ion channel regulatory subunit, sulfonylurea receptor 1 (SUR1), is strongly linked to TBI, especially BC. SUR1 protein and Abcc8 messenger RNA (mRNA), which encodes SUR1, are transcriptionally upregulated at the site of injury in animal models of TBI and in humans with TBI.4,12,13 SUR1 upregulation is found in microvascular endothelium, astrocytes, and neurons. SUR1 is held to be responsible for microvascular failure leading to edema and HPC, since edema, capillary fragmentation and HPC are reduced by blocking SUR1 with glibenclamide.4,14–17 In a recent study in humans, Jha and colleagues showed that the level of SUR1 in the ventricular cerebrospinal fluid was a good biomarker of brain swelling identified on the computed tomography (CT) scan.18 Also, the same group showed that ABCC8 genetic variability in patients with TBI and regionally clustered single nucleotide polymorphisms are associated with post-traumatic brain swelling.19,20 Recently, pharmacological inhibition of SUR1 was shown in human clinical trials to reduce brain swelling after ischemic stroke21 and to reduce HPC after TBI.22
The unique molecular biology of SUR1 has hindered a full understanding of its pathological role in TBI. SUR1 is a member of the adenosine triphosphate (ATP) binding cassette (ABC) transporter superfamily. SUR1 does not function by itself but instead modulates the properties of distinct pore-forming ion channels by participating in heterologous co-associations. In different cell types, SUR1 co-assembles either with the inwardly rectifying K+ (KIR) 6.2 channel to form KATP channels,23–25 or with transient receptor potential melastatin 4 (TRPM4) to form SUR1-TRPM4 channels.26 Notably, these two channels have opposite physiological effects—upon activation, KATP channels mediate K+ efflux and cell hyperpolarization, whereas SUR1-TRPM4 channels mediate Na+ influx and cell depolarization. In TBI, little is known about SUR1's potential pore-forming subunit partners. Two recent reports have shed important light on this question, but these reports yielded unexpected findings: Gorse and colleagues27 reported that TRPM4 was upregulated in a rodent model of TBI, especially in astrocytes, whereas Castro and colleagues28 reported that KIR6.2 was upregulated in humans with TBI, again especially in astrocytes. Given the opposite functional effects of the two channels, we thought it important to revisit this question of astrocyte expression of SUR1-regulated channels post-TBI. Also, given the critical role of SUR1 in HPC post-TBI, we thought it important to determine which of the SUR1-regulated channels was linked to HPC.
Here, we studied the expression and assembly of SUR1, TRPM4 and KIR6.2 in brain tissues from humans with TBI and from a rat model of TBI, with a particular focus on astrocyte expression of these channels. To address the function of the three subunits in HPC, we studied the effects of antisense-mediated gene knockdown of the three subunits in a rat model of contusion-TBI. Here, we report that, indeed, both TRPM4 and KIR6.2 are upregulated post-TBI in astrocytes of both species, where they co-assemble with SUR1 to form heteromers of SUR1-TRPM4 and SUR1-KIR6.2. Also, we report that inhibiting the expression of SUR1 and TRPM4, but not KIR6.2, reduces HPC post-TBI.
Methods
Human tissues
All cases were patients at the R. Adams Cowley Shock Trauma Center, Baltimore; the cases reported here are distinct from the cohort from Barcelona reported earlier.13,28 The tissue collection protocol was approved by the Institutional Review Board (IRB) of the University of Maryland School of Medicine. Under this IRB protocol, brain tissue biopsy specimens were obtained from 16 patients with non-ballistic, closed head injury, contusion-TBI who underwent decompressive craniectomy (by BA or JMS) for elevated intracranial pressure29 between January 12, 2013, and August 3, 2014. All had CT scans exhibiting hemorrhagic contusions with mass effect. Patients were (mean ± standard deviation) 48 ± 20 years of age, and 81% were male. The mechanism of injury was motor vehicle accident, pedestrian struck, or assault. Time to surgery was 58 ± 85 h (range, 2–280) after TBI.
In each case, one or two biopsy specimens, 0.5–1 cm3, were obtained from what appeared grossly to be non-necrotic brain at the interface between contused brain and normal-appearing brain. Following biopsy, specimens were placed immediately in 4% formaldehyde for immersion fixation. Tissues were cryoprotected with 30% sucrose, embedded in optimum cutting temperature (OCT) compound, frozen on dry ice, and cryosectioned (10 μm).
For control tissues, five postmortem specimens were obtained from three men and two women who died rapidly from non-neurological diseases, including pneumonia, status asthmaticus, and rupture of aortic aneurysm.30 The postmortem interval ranged from 18–74 h. The average age of control subjects was 51.3 ± 7.0 years.
Antibody validation
The custom anti-SUR1 and anti-TRPM4 antibodies used for immunolabeling and immunoFRET in this study were validated previously using lysates from appropriate SUR1 and TRPM4 expression systems, tissues from wild-type, Trpm4–/– and Abcc8–/– mice, and using mass spectrometry of immunoisolated proteins,26 in accordance with recommendations for antibody validation by Uhlen and colleagues.31 Here, we further validated the specificity of the custom anti-SUR1 antibody for immunohistochemistry of human tissues by comparing immunolabeling of adjacent sections using our custom polyclonal antibody, a monoclonal antibody (S289-16; Novus Biologicals, Littleton, CO) and a commercial polyclonal antibody (sc-5789; Santa Cruz Biotechnology, Dallas, TX).
We evaluated the suitability of three commercial anti-KIR6.2 antibodies using myc-tagged KIR6.x (myc-KIR6.2 or myc-KIR6.1) plasmids expressed in COS-7 cells. Myc-KIR6.2 and myc-KIR6.1 plasmids were constructed as follows. Complementary DNA clones encoding mouse Kcnj11 (KIR6.2) and Kcnj8 (KIR6.1) were obtained from Dr. Shyng (Oregon Health and Science University, Portland, OR) and DNASU Plasmid Repository (Tempe, AZ), respectively, and used as templates for polymerase chain reaction (PCR). The amplified PCR products were cloned into pCMV-Tag3C vector (Agilent Technologies, Santa Clara, CA) for expression of myc-KIR6.x. The myc-KIR6.x plasmids were verified by DNA sequencing prior to transfection.
Whole–cell lysates and myc-KIR6.2 immunoprecipitates were immunoblotted using anti-myc antibody (sc-40; Santa Cruz Biotechnology) or one of three anti-KIR6.2 antibodies: 1) GTX80493, an anti-human (N-terminus of KIR6.2), rabbit polyclonal antibody from GeneTex (Irvine, CA); 2) sc-11226, an anti-human (N-terminus of KIR6.2) goat polyclonal antibody from Santa Cruz Biotechnology; or 3) sc-11228, an anti-human (internal region of KIR6.2) goat polyclonal antibody from Santa Cruz Biotechnology.
Anti-myc immunoblot of whole–cell lysates and of myc-KIR6.2 immunoprecipitate from cells transfected with empty vector yielded no bands (Fig. 1A; lanes 1, 3). Anti-myc immunoblots of whole–cell lysates and myc-KIR6.2 immunoprecipitate from cells transfected with myc-KIR6.2 showed bands at ∼75 kDa, ∼110 kDa, and ∼150 kDa (Fig. 1A; lanes 2, 4). An additional band at ∼38 kDa was observed in the anti-myc immunoblot of myc-KIR6.2 immunoprecipiate (Fig. 1A; lane 4). These four bands correspond to the monomer and multimers of KIR6.2.32
The antibody from GeneTex yielded an immunoblot that was nearly identical to that obtained with anti-myc antibody (Fig. 1A; lanes 5–8). GTX80493 detected all multimers of KIR6.2 (Fig. 1A; lane 8). GTX80493 showed one faint nonspecific band ∼120 kDa in the absence of KIR6.2 expression (Fig. 1A; lane 5).
The antibodies from Santa Cruz Biotechnology were evaluated using only whole–cell lysates (Fig. 1B; lanes 1, 2). When used to immunoblot lysates that did not contain KIR6.2, the sc-11228 immunoblot showed many nonspecific bands (Fig. 1B; lane 3), and detected KIR6.2 only very poorly (Fig. 1B; lane 4). Similarly, sc-11226 showed many nonspecific bands (Fig. 1B; lane 5), although it did detect all KIR6.2 multimers (Fig. 1B; lane 6).
We also evaluated the ability of GTX80493 to distinguish between KIR6.2 and KIR6.1 (both of which can be expressed by astrocytes; see Discussion). COS7 cells were used to express myc-KIR6.2 or myc-KIR6.1, as above. Immunoblot using anti-myc antibody confirmed the expression of both (Fig. 1C). Immunoblot using GTX80493 again confirmed detection of KIR6.2 multimers, but KIR6.1 was not detected. As noted above, GTX80493 showed one faint nonspecific band ∼120 kDa in both the absence and presence of KIR6.x expression (Fig. 1C).
To further validate GTX80493 specifically for immunohistochemistry, we used it to co-localized expression of KIR6.2 protein and Kcnj11 mRNA in brain tissue sections from contusion-TBI patients. In situ hybridization was performed for Kcnj11 mRNA, and the same tissue section was double-immunolabeled for glial fibrillary acidic protein (GFAP) and for KIR6.2 using GTX80493 (see Methods). Immunolabeling showed GFAP-expressing stellate cells with prominent expression of KIR6.2, with the same cells also exhibiting Kcnj11 mRNA (Fig. 1D; asterisks). In the same field, other cells were present, as identified by nuclear staining with 4′,6-diamidino-2-phenylindole (DAPI); these cells showed no immunoreactivity with GTX80493, and no Kcnj11 mRNA (Fig. 1D; circles). Using a different anti-KIR6.2 antibody (APC-020; Alomone Labs) that was validated previously28 confirmed astrocyte-specific expression of KIR6.2 in the same tissue specimen (Fig. 1E). GTX80493 exhibited no immunoreactivity when used to label control (uninjured) GFAP+ tissues (Fig. 1F).
All immunohistochemistry for KIR6.2 reported in this manuscript was conducted using GTX80493.
Histology, immunolabeling, and immunoFRET of human tissues
Human sections were stained with hematoxylin and eosin using routine techniques, and were examined with light microscopy. For terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) assay, cryosections were processed according to kit instructions (C10617; Thermo Fisher Scientific Inc.).
For fluorescence immunohistochemistry, cryosections were blocked 1 h in 2% donkey serum (D9663; Sigma-Aldrich, St. Louis, MO) and 0.2% Triton X-100. After rinsing, sections were incubated overnight at 4°C with a primary antibody: goat ant-SUR1 (1:500; custom antibody,26 mouse monoclonal anti-SUR1 (1:100; S289-16; Novus Biologicals), goat anti-SUR1 (C-16; 1:200; sc-5789; Santa Cruz Biotechnology, Santa Cruz, CA), chicken anti-TRPM4 (1:500; custom antibody), goat anti-TRPM4 (G-20; 1:200; sc-27540; Santa Cruz Biotechnology), or KIR6.2 (1:100; GTX80493; GeneTex, Irvine, CA). After labeling for one of the channel subunits, double immunolabeling was performed using either: CY3-conjugated, monoclonal anti-GFAP (1:500; C9205; Sigma-Aldrich), or rabbit anti-collagen IV (1:200; ab6586; Abcam, Cambridge, MA), or mouse anti-CD68 (ED1; 1:100; MAB1435; Millipore Sigma, Burlington, MA), to analyze cell-specific expression. For visualization, we used fluorescent-labeled species-appropriate secondary antibodies (1:500, Alexa Fluor 488 [green] and Alexa Fluor 555 [red]; Invitrogen/Molecular Probes, Eugene, OR) at room temperature. Sections were cover-slipped using ProLong Gold antifade reagent containing the nuclear stain, DAPI (Invitrogen). Immunolabeled sections were visualized using epifluorescence microscopy (Nikon Eclipse 90i; Nikon Instruments Inc., Melville, NY). Specific labeling was defined as fluorescence intensity twice that of background. Controls included incubation with pre-immune serum, when available, omission of primary antibodies, and testing cell-specific antibodies (anti-GFAP, anti-CD68) to assure no cross-reactivity with SUR1, TRPM4, or KIR6.2.
To demonstrate formation of SUR1-TRPM4 and SUR1-KIR6.2 heteromers, we performed antibody-based Förster Resonance Energy Transfer (immunoFRET),33 using methods we described.26,34,35 To study SUR1-TRPM4 heteromers, we used rabbit anti-SUR1 (1:200; custom antibody) and goat anti-TRPM4 (G-20; 1:200; sc-27540; Santa Cruz Biotechnology) primary antibodies, along with donkey anti-rabbit CY5 (1:100) and mouse anti-goat CY3 (1:100) (the Jackson Laboratory) secondary antibodies. To study SUR1-KIR6.2 heteromers, we used goat anti-SUR1 (1:400; custom antibody) and rabbit anti-KIR6.2 (1:50: GTX80493; Genetex) primary antibodies, along with donkey anti-rabbit CY5 (1:100) and mouse anti-goat CY3 (1:100; the Jackson Laboratory) secondary antibodies. Sections were first immunolabeled using a mixture of the two primary antibodies, with incubation performed overnight at 4°C. After washing with phosphate-buffered saline (PBS), the sections were incubated with a mixture of the two secondary antibodies for 1 h, rinsed and cover-slipped. FRET fluorescence imaging was analyzed on a commercial laser scanning microscope combination system, LSM510 Meta (Zeiss, Jena, Germany) with an Axiovert inverted microscope and a 63 × oil immersion lens. The following settings were used throughout the experiments: for Cy3, excitation, 543 nm; detection, 565–615 nm; for Cy5, excitation, 633 nm; detection, 650–704 nm. The images were captured and processed with the LSM Image Examiner software (Zeiss), with an integration time of 5 msec/pixel. ROIs were three rectangles, 225 × 180 μm, positioned within GFAP+ tissues. Controls studied here included omission of primary antibodies and study of uninjured control brain tissues; additional controls for immunoFRET validation used a COS-7 cell expression system, as described.26
Immunohistochemistry analysis
Channel subunit expression was assessed in all cases, but was quantified only in cases with GFAP-positive specimens. Unbiased measurements of signal intensity within regions of interest (ROIs) were obtained using NIS-Elements AR software (Nikon Instruments, Melville, NY). Images were collected from sections double immunolabeled for GFAP and SUR1 or TRPM4 or KIR6.2. The GFAP channel was used to define ROIs (pixel intensity >2 × background). The GFAP-defined ROIs were used to quantify astrocyte-specific expression of SUR1, TRPM4, or KIR6.2, with the % ROI calculated by dividing the number of positive pixels (> 2 × background) for individual channel subunits by the total number of GFAP+ pixels in the ROI. For each case, three representative areas (410 × 325 μm ROI) were analyzed and averaged.
In situ hybridization
For in situ hybridization, cryosections were processed with digoxigenin-labeled probes against Abcc8 (antisense: 5′-TGCAGGGGTCAGGGTCAGGGCGCTGTCGGTCCACTTGGCCAGCCAGTA-3′), TRPM4 (antisense: 5′-CCGAGAGTGGAATTCCCGGATGAGGCGGTAACGCTGC-3′), or KIR6.2 (antisense: 5′-CCATGCGCCCCCCAAAGCCAATAGTCACTTGGACCTCAAT-3′), supplied by IDT (Skokie, IL). In situ hybridization was performed on 10-μm sections and controls using an IsHyb In Situ Hybridization (ISH) Kit (Biochain Institute, Inc., Newark, CA) according to the manufacturer's protocol. Sections were incubated in diethyl pyrocarbonate (DEPC)–treated PBS and fixed in 4% paraformaldehyde in PBS for 20 min. After being rinsed twice with DEPC-PBS, the slides were treated with 10 μg/mL proteinase K at 37°C for 10 min. Slides were then washed in DEPC-PBS, rinsed with DEPC-H2O, and prehybridized with ready-to-use prehybridization solution (BioChain Institute, Newark, CA) for 3 h at 50°C. The DIG-labeled probe was diluted in hybridization buffer (BioChain Institute, Newark, CA) and applied at 4 ng/μL. Sections then were incubated at 45°C for 16 h. Post-hybridization washing and immunological detection, using anti-DIG-alkaline phosphatase (AP) with NBT/BCIP as substrates were performed as recommended by the manufacturer. AP-conjugated anti-DIG antibodies (1:100 PBS diluted, BioChain Institute, Newark, CA), were incubated with slides for 2 h. Finally, slides were rinsed in distilled H2O and then were immunolabeled for the corresponding protein using a fluorescent secondary antibody, as above.
Rat experiments
Ethics statement
We certify that all applicable institutional and governmental regulations concerning the ethical use of animals were followed during the course of this research. Animal experiments were performed under a protocol approved by the Institutional Animal Care and Use Committee of the University of Maryland School of Medicine, and in accordance with the relevant guidelines and regulations as stipulated in the United States National Institutes of Health Guide for the Care and Use of Laboratory Animals. All efforts were made to minimize the number of animals used and their suffering.
Subjects and surgical procedure for contusion-TBI
Male Wistar rats, ages 12–16 weeks (325–400 g; Harlan, Indianapolis, IN), were anesthetized (60 mg/kg ketamine plus 7.5 mg/kg xylazine, intraperitoneally) and allowed to breathe room air spontaneously. Core temperature was maintained at 37°C with an isothermal pad (Deltaphase; Braintree Scientific, Braintree, MA). Oxygen saturation and heart rate were monitored using a pulse oximeter (Mouse Ox™; STARR Life Sciences Corp., Oakmont, PA). Surgical incision sites were prepared using iodine and alcohol, and a sterile environment was maintained throughout the procedure. Rats were mounted in a stereotactic apparatus (Stoelting Co., Wood Dale, IL). Lidocaine solution (2%) was injected prior to making an incision. A midline scalp incision was made to expose the skull. A circular bone incision positioned 2 mm anterior to lambda and 1 mm lateral to midline was made using a high-speed drill with a 1 mm diamond burr (Dremel, model 732), to create a 6-mm diameter craniotomy in the left parietal region. After removing the bone flap, contusion-TBI was induced using a controlled cortical impact device (Impact One impactor system; 39463920; Leica Biosystems, Buffalo Grove, IL) with the following parameter settings: 5 mm diameter impactor, angled 20° from vertical, 4.5 mm tissue displacement from the dural surface, 1 m/sec velocity, 200 msec dwell time. The bone flap was then repositioned and cemented in place using a cyanoacrylate adhesive (Loctite® 454 Prism Instant Adhesive Gel plus Insta-Set accelerator). For analgesia, we used buprenorphine (0.05 mg/kg) 15 min before surgery then every 12 h for 24 h.
Series
Four series of rats with contusion-TBI were studied. In series 1, five contusion-TBI rats were euthanized at each of four time-points: 6, 12, 24 and 72 h, with five uninjured rats serving as controls; these rats were used for immunohistochemistry. In series 2, five contusion-TBI rats received no treatment and were euthanized at 15 min to measure the hemorrhagic lesion area (primary hemorrhage before HPC) and hemispheric swelling. In series 3, 18 contusion-TBI rats were administered either glibenclamide (nine rats) or vehicle (nine rats). In series 4, 53 contusion-TBI rats were administered either antisense-oligodeoxynucleotide (AS-ODN) targeting a channel subunit, or scrambled ODN (Scr-ODN) or sense ODN (SE-ODN) as control, including AS-ODN targeting SUR1 (12 rats, with 10 Scr-ODN controls), TRPM4 (seven rats, with eight SE-ODN controls) or KIR6.2 (eight rats, with eight SE-ODN controls). Rats in series 3 and series 4, were euthanized at 24 h to measure the hemorrhagic lesion area (primary hemorrhage plus secondary hemorrhage after HPC) and hemispheric swelling.
Treatments
The drug formulation for glibenclamide (#G2539; Sigma) in dimethyl sulfoxide was as described.36 Treatment consisted of administering a single loading dose of glibenclamide (10 μg/kg) or an equivalent volume of vehicle intraperitoneally within 10 min of trauma, as well as continuous infusion via mini-osmotic pump (Alzet 2001, 1.0 μL/h; Alzet Corp, Cupertino, CA) beginning at the end of surgery, resulting in delivery of 400 ng/h or an equivalent volume of vehicle subcutaneously until euthanasia. The dose of glibenclamide used here has been shown to not result in hypoglycemia.
Anti-SUR1 (5′-GGCCGAGTGGTTCTCGGT-3′) and anti-TRPM4 (5'-TTGTGGTAACACTCTCCAAA-3′) AS-ODNs were described and validated previously in rats in vivo.37–39 These AS-ODNs were shown to result in >60% suppression of protein expression as well as highly significant reductions in progressive hemorrhagic necrosis in a contusion spinal cord injury model. Anti-KIR6.2 (5′-CCTTTCGGGACAGCATGGCT-3′) AS-ODN was described and validated previously in rats in vivo.40 This AS-ODN was shown to result in 80% suppression of Kcnj11 mRNA expression in the basal ganglia. ODNs, which were phosphorothioated at 4 distal bonds at both the 5′ and 3′ ends to protect against endogenous nucleases,41 were obtained commercially (Sigma-Aldrich). Prior to surgery, mini-osmotic pumps (Alzet 2001D, 8 μL/h; Durect Corp.) fitted with jugular vein catheters were loaded with ODN and primed. ODN solutions were prepared in sterile normal saline (NS; 4 mg/mL). Immediately after trauma, the jugular vein was catheterized, a loading dose of ODN (400 μg in 100 μL) was administered intravenously, and the pump catheter was inserted into the vein with the pump implanted subcutaneously in the dorsal thorax, to obtain intravenous delivery of ODN at a rate of 32 μg /h until euthanasia, yielding a total dose delivered of ∼1.2 mg/24 h.
Exclusions
In all series, there was no unplanned mortality, and no animal was excluded for any reason.
Hemorrhagic lesion area and hemispheric swelling
At the designated time after trauma, rats were euthanized by an intraperitoneal injection of pentobarbital (> 100 mg/kg), then underwent transcardial perfusion with NS (60 mL) followed by 10% neutral buffered formalin (50 mL; Sigma-Aldrich). Immediately after perfusion-fixation, brains were harvested and bisected coronally at the contusion epicenter using a pre-chilled (-20°C) rat brain coronal matrix (Ted Pella Inc., Redding, CA). The exposed coronal faces were imaged on a flatbed scanner to obtain high resolution digital images (red-green-blue [RGB]; 600 dpi).
To obtain unbiased measurements of hemorrhagic lesion area, we used an algorithm-based segmentation protocol similar to what we used previously for TTC-stained sections after ischemia,42 taking into account that the colors red and white have opposite biological meaning in the two scenarios. NIS-Elements AR software (Nikon Instruments, Melville, NY) was used to process the RGB images. The quadrant that included cortex, corpus callosum and hippocampus with normal-appearing brain surrounding the contusion was outlined manually. The hemorrhagic lesion area within this quadrant was determined, based on pixel intensities identified by a histogram of the green channel (dark pixels depict blood; brighter pixels depict normal brain). The percent hemorrhagic lesion was calculated based on the hemorrhagic lesion area and the area of the manually traced ipsilateral hemisphere. The percent hemispheric swelling was calculated based on the areas of the manually traced ipsilateral and contralateral hemispheres. This unbiased method of segmentation for determining the hemorrhagic lesion area was validated in a subset of images by two investigators (ZI, JAS), blinded to treatment group, who independently traced the hemorrhagic area manually on full color RGB images. HPC is defined as the increase in hemorrhagic lesion area at 24 h compared with 15 min after trauma.
Immunolabeling and TUNEL staining of rat tissues
For rat tissues, cryosections were immunolabeled as above using the following primary antibodies: goat ant-SUR1 (1:500; custom antibody),26 chicken anti-TRPM4 (1:500; custom antibody), goat anti-TRPM4 (G-20; 1:200; sc-27540; Santa Cruz Biotechnology), or KIR6.2 (1:100; GTX80493; GeneTex, Irvine, CA). After labeling for one of the channel subunits, double immunolabeling was performed using either: CY3-conjugated, monoclonal anti-GFAP (1:500; C9205; Sigma-Aldrich), or monoclonal anti-RECA (MA1-81510; 1:100; HIS52; Invitrogen, ThermoFisher Scientific, Waltham, MA), or mouse anti-CD68 (ED1; 1:100; MAB1435; Millipore Sigma), to analyze cell specific expression. Secondary antibodies and subsequent image processing, as well as TUNEL labeling were performed as above.
Statistical analysis
Data are presented as mean ± SEM, unless otherwise noted. The treatment effect (percent reduction in hemorrhagic lesion area or percent reduction in hemispheric swelling) was calculated as: (AV–AD)/(AV-AB)*100, where AB is area at baseline, AV is area at 24 h with vehicle/control treatment, and AD is area at 24 h with drug treatment. Statistical analyses were performed using Origin Pro (V8; OriginLab Corp, Northampton, MA). Student's t-test and one-way analysis of variance with Tukey's honestly significant difference post hoc comparisons were used as appropriate.
Results
Brain tissue specimens from 16 patients with non-ballistic contusion-TBI who required decompressive craniectomy were first immunolabeled for GFAP. Since GFAP expression is reduced or absent in the core of ischemic and contusion injuries,43–45 whereas it is upregulated in surrounding penumbral regions, we used GFAP immunoreactivity to operationally classify our specimens as being GFAP-negative, likely from core regions, or GFAP-positive, likely from penumbral regions. In eight cases, GFAP labeling was absent or near-absent in all specimens, and in most of these, there was widespread TUNEL labeling indicative of severe cellular damage, consistent with these specimens originating from potentially non-viable core regions. In the other eight cases, GFAP immunolabeling was prominent in most of the specimens, with modest or no TUNEL labeling, consistent with these specimens originating from or containing viable penumbral tissues. In one of the GFAP-positive cases, two specimens were obtained, with one specimen showing robust GFAP immunoreactivity and the other specimen from the same patient being GFAP-negative (Fig. 2), illustrating the dichotomous nature of GFAP immunoreactivity in contusion specimens.
GFAP-negative human specimens
GFAP-negative specimens were immunolabeled for SUR1. Half of the GFAP-negative specimens also were negative for SUR1. The other GFAP-negative specimens showed prominent SUR1 expression, which was markedly greater compared with control tissues (Fig. 3A). Structures that were immunopositive for SUR1 consisted of elongated structures, likely microvessels, as well as small round cells (Fig. 3A).
Double immunolabeling for collagen IV, which identifies the basal lamina of microvessels, and for SUR1 or TRPM4 or KIR6.2, showed expression of SUR1 and TRPM4 in microvessels (Fig. 3B, 3C). Immunolabeling for CD68 showed that most of the small round cells were microglia/macrophages. Double immunolabeling for CD68 and SUR1 or TRPM4 or KIR6.2 showed expression of the three channel subunits in microglia/macrophages (Fig. 3D-F).28 Double immunolabeling showed that SUR1 and TRPM4 were co-localized in both microvessels and small round cells (Fig. 3G), and FRET imaging showed that SUR1 and TRPM4 co-assembled to form SUR1-TRPM4 heteromers in microvessels (Fig. 3H).
GFAP-positive human specimens
GFAP-positive specimens were immunolabeled for SUR1. All of the GFAP-positive specimens also were positive for SUR1, which was markedly greater compared with control tissues (Fig. 4A), as reported.13 The most prominent structures that were immunopositive for SUR1 were stellate-shaped cells (Fig. 4A). Double immunolabeling for SUR1 and GFAP or CD68 or collagen IV showed that SUR1 expression was by far more prominent in astrocytes and minimal or absent in microvessels or microglia/macrophages (Fig. 4B). SUR1 expression in occasional non-GFAP-positive cells, some of which may have been neurons or microglia/macrophages,13 was not studied in these specimens.
GFAP-positive cells that expressed SUR1 protein also expressed ABCC8 mRNA (Fig. 4B). Immunolabeling with two other anti-SUR1 antibodies, a monoclonal (S289-16; Novus Biologicals) and a commercial polyclonal (sc-5789; Santa Cruz Biotechnology), yielded images similar to those obtained with the custom anti-SUR1 antibody (Fig. 4C). Quantification using GFAP as the region of interest confirmed that SUR1 was significantly upregulated in penumbral astrocytes post-TBI (Fig. 4D).
Like SUR1, TRPM4 was minimally expressed in control cortical tissues, but was upregulated in GFAP-positive penumbral specimens (Fig. 5A), similar to that reported in diffuse TBI.27 Double immunolabeling with GFAP showed that TRPM4 expression was prominent in astrocytes, and could also be observed in small round cells (Fig. 5B). GFAP-positive cells that expressed TRPM4 protein also expressed TRPM4 mRNA, as did some small round cells (Fig. 5B). Co-immunolabeling showed that astrocytes that labeled positive for TRPM4 also labeled positive for SUR1 (Fig. 5C), and FRET experiments showed that TRPM4 and SUR1 formed heteromers of SUR1-TRPM4 (Fig. 5D). Quantification using GFAP as the region of interest confirmed that TRPM4 was significantly upregulated in cortical astrocytes post-TBI (Fig. 4D).
Like SUR1 and TRPM4, KIR6.2 was minimally expressed in control cortical tissues, except in occasional neurons, but was upregulated in GFAP-positive penumbral specimens (Fig. 6A), as reported.28 Double immunolabeling with GFAP showed that KIR6.2 expression was prominent in astrocytes (Fig. 6B). KIR6.2 expression in non-GFAP-positive cells, presumably neurons, was sparse and did not differ appreciably from controls.28 GFAP-positive cells that expressed KIR6.2 protein also expressed KCNJ11 mRNA (Fig. 6B). Co-immunolabeling showed that cells that labeled positive for KIR6.2 also labeled positive for SUR1 (Fig. 6C), and FRET experiments showed that KIR6.2 and SUR1 formed heteromers of SUR1-KIR6.2 (Fig. 6D). Quantification using GFAP as the region of interest confirmed that KIR6.2 was significantly upregulated in cortical astrocytes post-TBI (Fig. 4D).
Double immunolabeling showed that TRPM4 and KIR6.2 were expressed in the same cells whose stellate morphology was consistent with astrocytes (Fig. 6E). Overall, qualitative assessment of the eight GFAP-positive specimens revealed that the three subunits, SUR1, TRPM4, and KIR6.2, tended to be upregulated in parallel in astrocytes, that expression during the first 24 h after injury tended to be variable, and that later, essentially all astrocytes upregulated all three subunits.
Channel subunit expression in rat contusion-TBI
In the rat contusion model, the lesion core identified by the hemorrhagic area in unstained sections showed markedly reduced GFAP immunoreactivity45 along with markedly elevated TUNEL labeling (Fig. 7A, 7B), consistent with previous findings,43–45 and consistent with our rational for dichotomizing the human specimens.
We studied SUR1 expression in the core and penumbra as a function of time. In the core, SUR1 expression was significantly increased over controls, it peaked at 6 h, remained elevated at 12 h, declined at 24 h, then rose again at 72 h (Fig. 7C).4,12 During the first 24 h, the primary structures within the core that labeled for SUR1 were elongated structures, consistent with microvessels (Fig. 7D). However, at 72 h, labeling of microvessels was no longer evident and instead, labeling was most prominent in small round cells (Fig. 7D). SUR1 immunolabeling of the GFAP-negative core did not show any stellate-shaped cells. By contrast, SUR1 immunolabeling of the GFAP-positive penumbra showed numerous stellate-shaped cells, with these cells being the predominant cell-type (Fig. 7D).
In core tissues, double immunolabeling with RECA and SUR1 or TRPM4 or KIR6.2 showed microvascular expression of SUR1 and TRPM4, but no convincing evidence of KIR6.2 (Fig. 8A-C). Double immunolabeling of core tissues showed that SUR1 and TRPM4 were co-localized in microvessels (Fig. 8D).
In core tissues, double immunolabeling with CD68 and SUR1 or TRPM4 or KIR6.2 showed that microglia/macrophages accounted for most of the small round cells, and that these cells expressed all three channel subunits (Fig. 8E-G).
In the penumbra, double immunolabeling with GFAP and SUR1 or TRPM4 or KIR6.2 showed that astrocytes expressed all three channel subunits (Fig. 9A-C). Quantification using GFAP as the region of interest confirmed that SUR1, TRPM4 and KIR6.2 were significantly upregulated in penumbral astrocytes post-TBI (Fig. 9G). Double immunolabeling showed that SUR1 and TRPM4, SUR1 and KIR6.2, as well as TRPM4 and KIR6.2 all co-localized in astrocytes (Fig. 9D-F).
Glibenclamide and HPC
In the rat model, quantification of the hemorrhagic lesion area at baseline (15 min) versus 24 h was used to gauge HPC. At baseline, the hemorrhagic lesion area, reflecting the primary hemorrhage, was small, whereas by 24 h, the hemorrhagic lesion area had grown significantly (Fig. 10), reflecting the fact that the primary hemorrhage had undergone HPC.4 Images of the hemorrhages at 24 h confirmed that the increase in blood was not due to an increase in bleeding from a point source, but was dispersed throughout the tissues, consistent with hemorrhagic transformation of brain (Fig. 10B). Measurements of hemispheric volume showed that hemispheric swelling was commensurate with hemorrhagic lesion area (Fig. 10D). Glibenclamide treatment initiated within 15 min after trauma yielded a hemorrhagic lesion area at 24 h that was significantly less than in vehicle-treated animals, reflecting a reduction in mean HPC by ∼58%. Similarly, glibenclamide treatment was associated with hemispheric swelling at 24 h that was significantly less than in vehicle-treated animals, with a reduction in mean swelling of ∼66%.
AS-ODN and HPC
We used AS-ODNs to assess the functional role of the three channel subunits in HPC. Circulating intravascular oligonucleotides normally are excluded from the brain parenchyma by the intact blood–brain barrier (BBB),46 but TBI causes BBB disruption47 that enables delivery of circulating oligonucleotides to brain cells. Moreover, following central nervous system (CNS) trauma, AS-ODNs may be selectively taken up by activated endothelium.39,48
Within 15 min of trauma, rats were administered intravenous AS-ODNs directed against Abcc8, Trpm4, or Kir6.2 mRNA. The hemorrhagic lesion areas in controls for the three treatments were not significantly different. Compared with controls, anti-Abcc8 and anti-Trpm4 AS-ODNs significantly reduced hemorrhagic lesion areas at 24 h, while values for the two treatments were not significantly different from each other (Fig. 11). Assuming baseline values comparable to those above, mean HPC was reduced ∼70% and ∼92% by anti-Abcc8 and anti-Trpm4 AS-ODNs, respectively. Similarly, AS-ODN treatment was associated with hemispheric swelling at 24 h that was significantly less than in controls (Fig. 11), with reductions in mean swelling of ∼58% and ∼70% by anti-Abcc8 and anti-Trpm4 AS-ODNs, respectively. By contrast, following administration of anti-Kir6.2 AS-ODN, hemorrhagic lesion area and hemispheric swelling at 24 h were not significantly different compared with controls (Fig. 11).
Discussion
There are two major findings in the present report. First, individual subunits and heteromers of SUR1-TRPM4 and KATP (SUR1-KIR6.2) channels were upregulated after human TBI, confirming and expanding on recent reports on SUR1 and KIR6.2 expression in human TBI,13,28 and recapitulating observations on SUR1 and TRPM4 in animal models of contusion-TBI.4,12,27 Second, our data with AS-ODNs in the rat contusion model showed that SUR1-TRPM4, not KATP (SUR1-KIR6.2), accounts best for post-contusion HPC. Overall, our data support the hypotheses that SUR1-TRPM4 plays a crucial role in contusion-TBI, and that a primary target of glibenclamide in TBI is SUR1-TRPM4.
Channel subunit expression in human contusions
Dichotomizing tissues as being GFAP-positive versus GFAP-negative facilitated our investigation of channel subunit expression in various cell types. This classification is justified by observations both here and previously that GFAP expression is reduced or absent in the core of ischemic and contusion injuries,43–45 whereas it is upregulated in surrounding penumbral regions. Equating GFAP immunoreactivity with core versus penumbra may be a broad generalization, but it was useful for predicting the cell types and patterns of SUR1 expression.
In GFAP-negative core tissues, SUR1 was upregulated most prominently in two cell types, microvascular endothelium and CD68-positive microglia/macrophages. By contrast, in GFAP-positive penumbral tissues, SUR1 was upregulated predominantly in astrocytes. In specimens characterized using FRET, we found evidence of SUR1-TRPM4 heteromers in microvascular endothelium, whereas both SUR1-TRPM4 and SUR1-KIR6.2 heteromers were identified in astrocytes. Cortical neurons also express SUR1 as part of KATP channels, and SUR1 in neurons previously was reported to be increased in human TBI specimens,13 but here, we did not quantify channel subunit expression in neurons.
Overall, our findings in human TBI accord with observations on SUR1 in human TBI by Martinez-Valverde and colleagues,13 and they accord with findings on SUR1 in TBI rat models reported here and previously.4,12 Also, our findings on KIR6.2 accord with previous observations in human TBI by Castro and colleagues,28 who first reported upregulation of KIR6.2, predominantly in astrocytes. The present study is the first to report on TRPM4 in the human brain after TBI, and our findings are in accord with those reported in a diffuse-TBI rat model.27
KATP
KATP channels are activated by processes associated with energy deprivation (e.g., a fall in the ATP/ADP ratio). Work investigating the function of neuronal KATP channels under pathological conditions has focused primarily on their role in hypoxia or excitotoxicity.49–51 These studies showed that KATP channels mediate neuronal hyperpolarization, which counteracts anoxic/ischemic depolarization, and thereby reduces neuronal death. In accord with this, KIR6.2-null mice are vulnerable to brain hypoxia, and exhibit a reduced threshold for hypoxia-induced generalized seizures,52,53 while KIR6.2-overexpressing mice are protected.54
Whereas constitutive KIR6.2 expression by neurons is established, KIR6.2 expression in glial cells in the normal brain is controversial, or may depend on location. Dunn-Meynell and colleagues55 reported that while various neurons in rat brain express KIR6.2 mRNA, neither astrocytes nor oligodendrocytes express KIR6.2 mRNA. Conversely, Zhou and colleagues56 showed that glia in the rodent corpus callosum and cerebellar white matter (but not cerebral cortex) weakly express KIR6.2. In the present study, as well as in the report by Castro and colleagues,28 KIR6.2 was not identified in astrocytes in control human cortex.
Conversely, several reports indicate that astrocytes normally express the closely related subunit KIR6.1.57,58 Moreover, recent data indicate that in disease states, there may be a dramatic increase in KIR6.2 expression in reactive protoplasmic and fibrous astrocytes, whereas no such increase is observed for KIR6.1, a phenomenon that was termed “aberrant expression of KIR6.2.”59 In both the report by Castro and colleagues28 as well as here, so-called aberrant expression of KIR6.2 in reactive astrocytes was identified post-TBI. Although questions may remain about constitutive expression of KIR6.2 in quiescent astrocytes, upregulation of KIR6.2 in cortical reactive astrocytes under pathological conditions seems certain.
In contrast to neurons and astrocytes, KATP channel subunits are essentially undetectable in endothelium of normal brain microvessels or endothelium of the basilar and middle cerebral arteries, although smooth muscle cells of cerebral arteries express the various subunits.60,61 Vascular smooth muscle KATP channels mediate vasodilation in response to hypoxia.62,63
The role of KATP in TBI, especially in penumbral astrocytes where KIR6.2 is strongly upregulated, remains unknown. Our experiments with AS-ODN targeting KIR6.2 did not identify a role for KIR6.2, and by inference for KATP, in brain swelling or HPC. Given the prominent expression of KATP in penumbral astrocytes post-TBI, we infer that astrocytes do not play a substantive role in HPC. Although we cannot rule out a problem with AS-ODN entry into astrocytes in vivo in our experiments, we note that the same AS-ODN was shown to be effective in downregulating KIR6.2 in basal ganglia neurons in vivo.40 Importantly, our negative data with anti-KIR6.2 AS-ODN do not imply that KIR6.2 upregulation in reactive astrocytes is without function, only that our experiments did not identify that function in TBI. Future work will examine this important question more carefully.
SUR1-TRPM4
In animal models of contusion-TBI, blockade of SUR1 with glibenclamide reduces capillary fragmentation in the penumbra, which is the immediate cause of HPC.4 In our previous study, we quantified HPC based on spectrophotometric analysis of tissue hemoglobin, and found that the hemoglobin content increased ∼2-fold between baseline and 24 h, and that this increase was blunted by ∼90% by glibenclamide.4 In the present study, we quantified HPC based on the area of hemorrhagic brain visible on single coronal images for each rat, and found that the hemorrhagic area increased ∼2-fold between baseline and 24 h, and that this increase was blunted by ∼50% by glibenclamide. Independent studies in rat and mouse models of contusion-TBI that used either MRI14 or tissue hemoglobin15 reported that glibenclamide reduced hemorrhagic lesion volumes by ∼50%. A study in humans with contusion-TBI that used volumetric analysis of CT scans found that glibenclamide reduced hemorrhagic lesion volumes by ∼80%.22 This broad concordance on the robust effect of glibenclamide across independent laboratories and across different species underscores the important role of SUR1 in HPC.
Glibenclamide is a sulfonylurea drug that targets sulfonylurea receptors, of which three are known: SUR1, SUR2A, and SUR2B. Of these, glibenclamide exhibits the highest potency at SUR1.64 Here, we found that the effects of glibenclamide on HPC and brain swelling were closely mimicked by anti-SUR1 AS-ODN, which largely eliminates involvement of SUR2A and SUR2B in HPC after contusion-TBI, and is consistent with glibenclamide acting via SUR1, not via some off-target effect.
We showed that the effects of blocking SUR1 are replicated using AS-ODN directed against Trpm4. These findings establish, for the first time, that SUR1-TRPM4 is a dominant molecular mechanism responsible for HPC. Notably, previous work in non-TBI models also showed that suppression of SUR1 and TRPM4 results in an essentially identical post-injury phenotype. In a contusion spinal cord injury model, genetic suppression of either subunit is similarly effective at preventing “progressive hemorrhagic necrosis,”39,48,65 a process of hemorrhagic lesion expansion in SCI that is similar to HPC in TBI. In experimental allergic encephalomyelitis, genetic suppression of either subunit is similarly effective at reducing inflammation and disease progression.66 In activated microglia in vitro, pharmacological inhibition of either subunit is similarly effective at reducing transcription of nitric oxide synthase 2.67 In activated astrocytes in vitro, pharmacological inhibition of either subunit is similarly effective at reducing cell swelling.68 Thus, in diverse CNS injury scenarios, the SUR1-TRPM4 channel plays a critical role in pathogenesis, with blockade or inhibition of either subunit yielding a similar favorable post-injury phenotype.
Co-expression of KATP and SUR1-TRPM4
Some cells, including astrocytes and microglia/macrophages, were found to express both KATP and SUR1-TRPM4 channels. As plasmalemmal channels, these two channels have opposite effects on membrane polarization—upon activation, KATP channels mediate K+ efflux and cell hyperpolarization, whereas SUR1-TRPM4 channels mediate Na+ influx and cell depolarization. These opposite functions may not conflict, however, since the two channels are regulated differently by intracellular ATP and calcium, which interact with the pore-forming subunit, not SUR1. KATP (SUR1-KIR6.2) is inhibited by ATP with an EC50 ∼18 μM, and the inhibitory action of ATP is counteracted by ADP,69,70 whereas SUR1-TRPM4 is inhibited by ATP with an EC50 0.8 μM, with no effect of ADP.71 Moreover, of the two subunits, only TRPM4 is sensitive to intracellular calcium/calmodulin.26,71 Thus, although both have the same SUR1 regulatory subunit, independent regulation of the two channels via the different pore-forming subunits is likely. Other cells also are known to express SUR1, KIR6.2, and TRPM4 simultaneously, including pancreatic β cells72 and neurons of the arcuate nucleus.73 Notably, in pancreatic β cells, KATP and TRPM4 function together to regulate insulin secretion,72,74 illustrating co-operative, not mutually opposed, functions. Further study is needed to determine the subcellular localization and to identify the complex functional interactions served by co-expression of KATP and SUR1-TRPM4 in reactive astrocytes and microglia/macrophages post-TBI.
Brain swelling
In TBI, brain swelling is directly responsible for major morbidity and death.10,11 In TBI, more so than in ischemia, it is important to distinguish between “brain swelling” and “brain edema,” two terms that are occasionally conflated but are not equivalent. Whereas edema contributes to brain swelling, edema is only one of several distinct space-occupying components responsible for swelling. Brain swelling arises from the combined space-occupying effects of extravasated blood, extracellular edema fluid, cellular swelling, vascular engorgement, and, possibly, hydrocephalus. Extravasated blood from both the initial contusion and from HPC contributes in a major way to brain swelling. Extracellular edema fluid, which develops later via two distinct mechanisms (see below), is another important contributor. Cellular swelling, especially of astrocytes, may be a larger contributor to brain swelling than is usually acknowledged.27,75 Post-traumatic vascular engorgement or hyperemia, which is attributed to vasoparalysis or venous outflow obstruction, also may contribute significantly to brain swelling.76,77 Some of these processes develop rapidly, while others worsen progressively over days. All have different underlying mechanisms, and while some may be inhibitable, at least in principal, others are not.
In the present study, extravasated blood was found to be a major contributor to brain swelling. The finding that glibenclamide, anti-SUR1 AS-ODN and anti-TRPM4 AS-ODN reduced brain swelling at 24 h by approximately half (Fig. 10 and Fig. 11) is best attributed to a treatment-related reduction in secondary hemorrhage from HPC, which was of a similar magnitude. At 24 h, extravasated blood seems to be the dominant factor responsible for brain swelling in this TBI model. This finding accords with the observation in humans that midline shift, a measure of hemispheric swelling, and hematoma volume are nearly co-linear.10 Notably, pharmacological inhibition of SUR1 was shown recently in a human clinical trial to reduce HPC after TBI.22
In TBI, edema forms via two distinct mechanisms, with the distinction based on the origin of the osmotically active solute, either intracontusional or intravascular. The intracontusional component was characterized by Katayama and colleagues,78 who showed that hemorrhagic/necrotic lesions in BCs have very high osmolarity. The increase in osmotic pressure is due to metabolic production of osmoles or the release of idiogenic osmoles from necrotic tissues.79 The high osmolarity of the hyperosmolar core acts as a powerful force that attracts water from the perilesional brain through a compromised BBB. In this case, the causative osmolytes originate from within the contusion. This component of edema can be reduced by intravascular osmotherapies, which counteract the transport of water from the vascular compartment into the tissues, but because water flux from the vascular compartment cannot be specifically blocked, this component is not amenable to targeted pharmacological inhibition.
The second component of edema is driven by osmotically active solutes, in this case ions and proteins, that are transported from the vascular compartment into the injured brain, to form ionic and vasogenic edema. Involvement of endothelial transporters/co-transporters such as SUR1-TRPM4 in this process suggests that this component may be subject to pharmacological inhibition. In a rat contusion-TBI model, with an increase in brain water from 78.5 to 80.8%, Zweckberger and colleagues14 reported that glibenclamide decreased excess water down to 80.5%, or by 15%. In a mouse contusion-TBI model complicated by hypotension, with an increase in brain water from 78.3 to 80.4%, Jha and colleagues17 reported that glibenclamide did not reduce ipsilateral excess water, but that contralateral excess water, which was increased from 78.3 to 78.6%, was eliminated by the drug. In a mouse contusion-TBI model, Xu and colleagues15 reported that glibenclamide reduced Evans blue extravasation by 35%. Glibenclamide was shown recently in a human clinical trial to reduce brain swelling from edema after ischemic stroke,21 but a comparable effect on edema in human TBI remains to be examined. In the present study, our experiments with AS-ODNs were designed explicitly to address HPC and its role in hemispheric swelling, not the subsequent development of edema. Future studies will examine the effects of AS-ODNs on edema formation in a rat contusion-TBI model.
Conclusion
In humans and rats, contusion-TBI is accompanied by upregulation of SUR1-TRPM4 in endothelium, astrocytes and microglia/macrophages, and of KATP (SUR1-KIR6.2) in astrocytes and microglia/macrophages, with cell-type specific expression being different in the lesion core versus the penumbra. In vivo experiments with AS-ODNs show that SUR1-TRPM4 plays a critical role in HPC and in early brain swelling, whereas a role for KATP in TBI has yet to be identified.
Acknowledgments
J.M.S is supported by grants from the Department of Veterans Affairs (I01BX002889), the Department of Defense (SCI170199), the National Heart, Lung and Blood Institute (R01HL082517) and the National Institute of Neurological Disorders and Stroke (NINDS) (R01NS060801; R01NS102589; R01NS105633); V.G. is supported by a grant from NINDS (NS061934).
Author Disclosure Statement
J.M.S. holds a U.S. patent (7,285,574), “A novel non-selective cation channel in neural cells and methods for treating brain swelling.” J.M.S. is a member of the Board of Directors and holds shares in Remedy Pharmaceuticals, and is a paid consultant for Biogen. No support, direct or indirect, was provided to J.M.S., or for this project, by Remedy Pharmaceuticals or by Biogen. For all other authors, no competing financial interests exist.
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