Abstract
Emerging evidence indicates that hypnotic anesthetics affect immune function. Many anesthetics potentiate γ-aminobutyric acid A receptor (GABAAR) activation, and these receptors are expressed on multiple subtypes of immune cells, providing a potential mechanistic link. Like immune cells, airway smooth muscle (ASM) cells also express GABAARs, particularly isoforms containing α4-subunits, and activation of these receptors leads to ASM relaxation. We sought to determine if GABAAR signaling modulates the ASM contractile and inflammatory phenotype of a murine allergic asthma model utilizing GABAAR α4-subunit global knockout (KO; Gabra40/0) mice. Wild-type (WT) and Gabra4 KO mice were sensitized with house dust mite (HDM) antigen or exposed to PBS intranasally 5 days/wk for 3 wk. Ex vivo tracheal rings from HDM-sensitized WT and Gabra4 KO mice exhibited similar magnitudes of acetylcholine-induced contractile force and isoproterenol-induced relaxation (P = not significant; n = 4). In contrast, in vivo airway resistance (flexiVent) was significantly increased in Gabra4 KO mice (P < 0.05, n = 8). Moreover, the Gabra4 KO mice demonstrated increased eosinophilic lung infiltration (P < 0.05; n = 4) and increased markers of lung T-cell activation/memory (CD62L low, CD44 high; P < 0.01, n = 4). In vitro, Gabra4 KO CD4+ cells produced increased cytokines and exhibited increased proliferation after stimulation of the T-cell receptor as compared with WT CD4+ cells. These data suggest that the GABAAR α4-subunit plays a role in immune cell function during allergic lung sensitization. Thus GABAAR α4-subunit-specific agonists have the therapeutic potential to treat asthma via two mechanisms: direct ASM relaxation and inhibition of airway inflammation.
Keywords: house dust mite antigen, lymphocyte, eosinophil, flexiVent, organ bath
a receptor-operated chloride channel, the γ-aminobutyric acid A receptor (GABAAR) is well known for its role in inhibitory neurotransmission in the central nervous system (CNS). We have previously demonstrated that airway smooth muscle (ASM) cells express GABAARs and that activation of these receptors leads directly to ASM relaxation (8, 26). GABAARs are heteropentamers that generally contain two α-subunits (α1–6), two β-subunits (β1–3), and a fifth subunit that can be γ (γ1–3), δ, ε, θ, or π. Among the six α-subunit subtypes, human ASM cells express only α4 and α5 (9), providing the opportunity for α-subunit-selective pharmacologic targeting to alleviate bronchoconstriction while avoiding the sedation largely mediated by α1–3-containing receptors in the CNS (10, 45).
Several immune cells also express functional GABAARs, including monocytes, macrophages, mast cells, and lymphocytes, and modulation of these receptors has been shown to affect cell function in vitro (1, 3, 7, 13, 25, 32, 36, 43). Clinical trials have also suggested that pharmacologic activation of GABAARs may be immunomodulatory. For example, studies demonstrated that critically ill patients sedated with benzodiazepines, positive GABAAR modulators, suffered increased infections (33) and increased mortality from sepsis (28) compared with patients sedated with a drug that works via GABAAR-independent mechanisms. Furthermore, a subsequent animal study demonstrated that subsedative doses of a benzodiazepine increased mortality in a murine pneumonia model, presumably due to immune suppression (34).
Chronic airway inflammation and ASM hyperresponsiveness are both hallmarks of asthma, a disease that affects hundreds of millions worldwide (24). Asthma is frequently studied in mice using house dust mite (HDM) antigen sensitization, a model that mimics the predominant subtype of human allergic/inflammatory asthma dominated by Th2-mediated inflammation. Given the potential role that GABAAR activation plays in immune modulation, we hypothesized that global genetic deletion of the GABAAR α4-subunit (Gabra4) would lead to increased airway reactivity and inflammation in HDM-sensitized mice.
MATERIALS AND METHODS
Mice.
All studies were approved by the Columbia University Institutional Animal Care and Use Committee. Eight- to ten-week-old male mice with a global genetic deletion of the GABAAR α4-subunit (Gabra40/0; Gabra4 KO) (5), and their corresponding background wild-type C57BL/6J mice (WT) were utilized.
RT-PCR survey of GABAAR subunit expression.
Mouse spleens were harvested, minced, and passed through a 40-μM cell strainer to obtain dispersed splenocytes. After red blood cell lysis, CD4+ cells were isolated by negative selection using a magnetic separation kit (MagniSort Mouse CD4+ T Cell Enrichment Kit; eBioscience, San Diego, CA). Total RNA was obtained from these CD4+ lymphocytes and D10 cells (murine Th2 cell line; gift of Dr. X. M. Li, Mt. Sinai Hospital, New York, NY) using Trizol Reagent, and cDNA was synthesized using SuperScript VILO reagents (Thermo Fisher Scientific, Waltham, MA). Two micrograms of RNA were used for each 20-µl RT-PCR reaction. PCR was then performed (40 cycles) using 1 µl of cDNA product as the templates and primers specific for each GABAAR subunit (primer sequences are listed in Table 1; Advantage 2 Polymerase Mix; Clontech, Mountain View, CA). All primer sets were designed to flank exon splice sites to avoid confounding replication of genomic DNA (genomic DNA replicates would be significantly larger). Two-step PCR was used with a denaturing temperature of 94°C for 10 s and an annealing/amplification temperature of 68°C for 1 min (30 cycles). Mouse whole brain served as a positive control, and PCR reaction mixtures devoid of cDNA served as RT-PCR negative controls (all reagents were from Life Technologies, Carlsbad, CA).
Table 1.
GABAAR Subunit (Accession No.) | Primer Sequence 5′ to 3′ | Product Size, bp |
---|---|---|
α1 (NM_010250) | ||
Forward | CTA TGG ACA GCC CTC CCA AGA TGA ACT TA | 147 |
Reverse | GTG ACG AAA ATG TCG GTC TTC ACT TCA GTT A | |
α2 (NM_008066) | ||
Forward | GAA CAG AGA ATC GGT GCC AGC AAG A | 175 |
Reverse | TGC AAA TTC AAT TAG GGC AGA GAA CAC AA | |
α3 (NM_008067) | ||
Forward | GGT TCA TAG CCG TCT GTT ATG CCT TTG TA | 158 |
Reverse | GTT TTT CTT TGT TGG AGC TGC TGG TGT TT | |
α4 (NM_010251) | ||
Forward | CCT GTG CTG AAG GAG AAA CAC ACA GAA | 210 |
Reverse | GAA TGG ATT TGG ACT GGA AGC TAA GTG A | |
α5 (NM_076942) | ||
Forward | TGC TAT GCA TTT GTC TTC TCT GCT CTG ATT | 182 |
Reverse | GGA GGA TGG GTC AGC TTT CCA GTT GTA A | |
α6 (NM_076942) | ||
Forward | GTC TGA ATC CCT GCA AGC AGA GAT TGT T | 138 |
Reverse | TTT AAG ATG GGC GTT CTA CTG AGG GCT TT | |
β1 (NM_008069) | ||
Forward | GTC TGA ATC CCT GCA AGC AGA GAT TGT T | 138 |
Reverse | TTT AAG ATG GGC GTT CTA CTG AGG GCT TT | |
β2 (NM_008070) | ||
Forward | GGG TGC CTG ACA CCT ACT TCC TGA ATG ATA | 175 |
Reverse | CAG TTT TGT TCA TCC AGT GGA TAC CGC CTT | |
β3 (NM_008071) | ||
Forward | GAC CTC AGA AGA TAC CCA CTG GAT GAG CAA | 169 |
Reverse | AGA CCA GAC GGT GCT CTA CAA TGG AGA A | |
γ1 (NM_010252) | ||
Forward | GGA ATA CGG AAC CTT GCA TTA TTT TAC TAG CAA CA | 175 |
Reverse | CAA ACA CTG GTA GCC ATA ATC ATC TTC CCC TT | |
γ2 (NM_008073) | ||
Forward | GAC GCT GTG GAT TCT GCT CCT GCT AT | 121 |
Reverse | CTC TGG AAC TTT TGG AGT CAA CAC CCA T | |
γ3 (NM_008074) | ||
Forward | GCC AGC TGC AAC TGC ATA ACT TCC CT | 156 |
Reverse | AGT CAA ACT GAT AGA GCC GCC ATG AT | |
δ (NM_008072) | ||
Forward | CCA GTT CAC TAT CAC CAG TTA CCG CTT CAC | 441 |
Reverse | GCG TTC CTC ACA TCC ATC TCT GCC CTT | |
ε (NM_017369) | ||
Forward | CAC ATG CTC AAT TTT CCA ATG GAT TCT CAC TCT T | 377 |
Reverse | AGC GTG GCC ATG GTG AGC ACA GAA CTG AC | |
θ (NM_020488) | ||
Forward | CTG TTC CCT GGA TCT GCA AAA ATT CCC TAT GGA C | 346 |
Reverse | TAC CCT GGC TGC AGA GGA ATC ATA GTT CAT CCA A | |
π (NM_146017) | ||
Forward | GAG AAC CTG CAT TGG AGT GAC AAC GGT GTT A | 320 |
Reverse | AGT TGA CAT TGT CAC CAG AGA TTT CAA TGC T |
GABAAR, γ-aminobutyric acid A receptor.
HDM antigen sensitization.
While spontaneously breathing under brief (2 to 3 min) isoflurane (Baxter, Deerfield, IL) anesthesia, both WT and Gabra4 KO mice were exposed to intranasal purified HDM antigen (30 µg; Greer, Lenoir, NC) dissolved in 25 µl PBS or PBS alone (nonsensitized control) once daily (Monday-Friday) for 3 wk.
In vivo airway resistance and lung compliance testing.
In vivo airway resistances were assessed using a flexiVent FX1 module with an inline nebulizer (SciReq, Montreal, QC, Canada), as previously described (37, 38), using HDM-sensitized and nonsensitized (PBS controls) WT and Gabra4 KO mice. Briefly, the mice were anesthetized with intraperitoneal pentobarbital (50 mg/kg), paralyzed with intraperitoneal succinylcholine (10 mg/kg), and mechanically ventilated via a tracheostomy (tidal volume: 10 mg/kg, 150 breaths/min). Airway resistances were measured during a graded, nebulized methacholine challenge. Each nebulization period was 10 s with a 50% duty cycle using a 4- to 6-µm nebulizer. EKG and temperature monitoring was performed throughout the experiment. Central airway resistance values (Rn) and lung compliance (Crs) for each mouse at each methacholine dose represent an average of three forced oscillatory measurements. Data were compared between groups by assessing the area under the methacholine cumulative dose-response curve.
Ex vivo tracheal ring organ bath experiments.
Tracheal ring organ bath experiments were conducted as described previously (37). Briefly, tracheas were rapidly removed from 3-wk HDM-sensitized and nonsensitized WT and Gabra4 KO mice and placed in modified Krebs-Henseleit buffer of the following composition (in mM): 115 NaCl, 2.5 KCl, 1.91 CaCl2, 2.46 MgSO4, 1.38 NaH2PO4, 25 NaHCO3, and 5.56 d-glucose at pH 7.4. The tracheas were then mounted in a myograph (DMT, Ann Arbor, MI) and held at a resting tension of 5 mN for 1 h at 37°C in buffer continuously bubbled with 95% O2-5% CO2 (buffer was exchanged every 15 min). Following this equilibration period, three acetylcholine (ACh) dose-response curves were constructed (ACh at 100 nM to 1 mM) with extensive buffer exchanges and a resetting of resting tension to 5 mN between dose-response challenges. An ACh EC50 was determined for each tracheal ring. The maximum ACh-induced contractile force generated was compared between groups.
To compare relaxation in response to the β-agonist isoproterenol between groups, tracheal rings were contracted with an EC50 ACh concentration and contractile force were allowed to plateau. Increasing concentrations of isoproterenol (0.1 nM to 10 μM in half-log increments) were then added at 7-min intervals as contraction force was continuously measured.
Lung histology.
Whole lungs were obtained from HDM-sensitized WT and Gabra4 KO immediately following pentobarbital overdose and fixed with 10% formalin overnight. The lungs were subsequently dehydrated through a graded ethanol series, paraffin embedded, sectioned, dewaxed, and stained with hematoxylin and eosin for histologic analysis. Lung inflammation was quantified using the composite lung inflammation index (16).
Lung immune cells count differentials and flow cytometric studies.
Whole lungs were obtained from nonsensitized and HDM-sensitized WT and Gabra4 KO mice immediately following intraperionteal pentobarbital overdose and PBS perfusion via right heart puncture. To isolate the intrapulmonary inflammatory cells, the lungs were quickly minced and enzymatically digested in 5 ml of 1 mg/ml type IV collagenase (Sigma, St. Louis, MO), 1 mg/ml trypsin inhibitor, and 0.1 mg/ml DNAase I (Thermo Fisher Scientific) in PBS at 37°C for 30 min. The tissues were then gently crushed through a 70-µm strainer, and the cells were collected and washed with PBS.
Smears were prepared for cell differential analysis conducted by an independent pathologist. Cells were also resuspended in FACS buffer at 5 × 105 cells/ml and stained with antibodies (CD4, CD8, CD62L, and CD44; BD Bioscience, San Diego, CA) at 1:200 dilution and room temperature for 30 min (helper T cells: CD4+/CD8−; cytotoxic T cells: CD8+/CD4−; and marker of activation/memory T cells: CD62LLOW/CD44HIGH) for flow cytometric analyses using a LSRII Flow Cytometer (BD Biosciences) and FlowJo software (FlowJo, Ashland, OR).
In vitro CD4+ cell activation.
CD4+ cells were isolated from WT and Gabra4 KO mice and loaded with a fluorescein diacetate proliferation dye and placed into culture. The cells were then stimulated with anti-CD3/CD28-coated beads (Dynabeads Mouse T-Activator; Thermo Fisher Scientific) for 96 h. Cell culture supernatants were collected at 16, 24, 48, 72, and 96 h for cytokine concentration analyses using a cytometric bead array kit and a Canto II flow cytometer (Mouse Th1/Th2/Th17 Cytokine Kit; BD Biosciences). Cell proliferation index (divisions/cell) was accessed at 72 h.
Statistical analysis.
Where appropriate, two-tailed Student’s t-tests or one-way ANOVA with Bonferroni posttest comparisons were employed using Prism 4.0 software (GraphPad, San Diego, CA). Data are presented as means ± SE; P < 0.05 was considered significant. Numbers refer to number of mice for in vivo experiments and number of mouse tissue donors for ex vivo and in vitro experiments.
RESULTS
Murine CD4+ cells express multiple GABAAR subunit mRNAs.
RT-PCR analysis revealed the presence of mRNA for multiple GABAAR subunits in mouse Th2 lymphocytes (D10 cells) and freshly isolated mouse CD4+ cells, including the GABAAR α4-subunit (Fig. 1 and Table 2). Furthermore, there was expression of all necessary subunits to form functional GABAARs (α- and β-subunits and several “tertiary” subunits). All primer sets were designed to flank introns to avoid replication of genomic DNA and produced PCR products of predicted size using positive control cDNA (mouse brain). PCR reactions devoid of cDNA (labeled blank in Fig. 1) served as negative controls.
Table 2.
Subunit | D10 | CD4+ |
---|---|---|
α1 | − | − |
α2 | − | − |
α3 | + | + |
α4 | + | + |
α5 | − | − |
α6 | + | − |
β1 | + | − |
β2 | + | − |
β3 | + | + |
γ1 | − | − |
γ2 | + | − |
γ3 | + | + |
δ | − | + |
ε | − | − |
θ | + | − |
π | − | − |
, mRNA detected; −, mRNA not detected.
HDM-sensitized Gabra4 KO mice have increased in vivo airway resistance and decreased lung compliance compared with HDM-sensitized WT mice.
HDM antigen sensitization led to a significant increase in in vivo airway resistance during an inhaled methacholine challenge in both WT and Gabra4 KO mice (Fig. 2A; area under curve compared by ANOVA with Bonferroni post hoc comparison, *P < 0.01; n = 8 mice) compared with their corresponding nonsensitized (PBS) controls. Notably, HDM-sensitized Gabra4 KO mice had significantly higher resistance than HDM-sensitized WT mice (#P < 0.05; n = 8 mice). The effect of methacholine dosage on airway resistance was significant for each group (ANOVA, P < 0.05). Furthermore, HDM-sensitized Gabra4 KO mice had decreased lung compliance compared with both nonsensitized Gabra4 KO mice (Fig. 2B; *P < 0.01) and HDM-sensitized WT mice (#P < 0.05, area under curve compared by ANOVA with Bonferroni post hoc comparison).
Ex vivo tracheal ring contractile properties do not differ between Gabra4 KO and WT mice.
Although sensitized Gabra4 KO mice had higher in vivo airway resistances than sensitized WT mice, tracheal ring isolated from the two groups showed similar ex vivo contractile responses following ACh exposure, both in dose responses to ACh and maximum ACh-induced contractile force (Fig. 3, A and B; ANOVA and Student’s t-test, P = ns; n = 4 mice). The tracheal rings from both groups also displayed similar relaxation responses to the β-agonist isoproterenol (Fig. 3C; Student’s t-test, P = ns; n = 4 mice), suggesting that the difference seen in in vivo airway reactivity between HDM-sensitized WT and Gabra4 KO mice is not likely a result of intrinsic differences in ASM reactivity but more likely due to enhanced lung inflammation.
Gabra4 KO mice have heightened eosinophilic lung inflammation following HDM sensitization compared with WT mice.
Quantitative analyses of hematoxylin and eosin sections from HDM-sensitized WT and Gabra4 KO mice demonstrated greater inflammatory infiltration in the Gabra4 KO mice (Fig. 4; quantified in Fig. 4C using composite lung inflammation score (16); ANOVA with Bonferroni post hoc comparisons, *P < 0.05; n = 4 mice). This was particularly evident in the perivascular and peribronchial regions (Fig. 4B, inset). Following enzymatic lung digestion and inflammatory cell collection, differential cell count analyses demonstrated that HDM-sensitized Gabra4 KO mice had a significantly higher percentage of intrapulmonary eosinophils compared with HDM-sensitized WT mice (Fig. 4D; 68.5 ± 13.6 vs. 11.6 ± 6.4%; ANOVA with Bonferroni post hoc comparisons, P < 0.05; n = 4 mice). Lymphocyte and neutrophil differential counts were not significantly different between groups.
Forward scatter/side scatter (FSC/SSC) flow cytometric analyses showed no significant differences between lung digest cells from nonsensitized WT and Gabra4 KO mice. However, when HDM-sensitized groups were examined, Gabra4 KO had an increase in cells with FSC/SSC characteristics consistent with granulocytes (red circle), presumably eosinophils given the results presented in Fig. 4D, and a relative loss of lymphocytes (black circles in Fig. 5A). However, despite a loss of lymphocytes apparent on the FSC/SSC plot, those CD4+ cells present in Gabra4 KO express a higher level of cell activation/memory markers (CD62LLOW/CD44HIGH) (Fig. 5A; quantified in Fig. 4B; 64.5 ± 1.7 vs. 44.9 ± 0.4%; Student’s t-test, P < 0.01; n = 4 mice) suggesting that at a 3-wk time point the CD4+ cells from Gabra4 KO mice had undergone sustained activation resulting in their apoptotic depletion.
Gabra4 CD4+ cells demonstrate heightened cellular activation in vitro compared with WT CD4+ cells.
Given the key role helper T cells (CD4+ lymphocytes) play in orchestrating allergic lung inflammation (42) and the in vivo suggestion that the CD4+ cells from Gabra4 KO mice had undergone sustained activation resulting in their depletion, we chose to compare Gabra4 KO and WT CD4+ cells function in vitro. Following activation of the T-cell receptor with anti-CD3/CD28 coated beads in vitro, Gabra4 CD4+ cells expressed higher levels of several cytokines compared with WT controls, including several proinflammatory cytokines (IL-2, INF-γ, IL-6, and IL-17A) at several time points (Fig. 6; ANOVA with Bonferroni post hoc test, *P < 0.05, ***P < 0.001; n = 3 mice). Consistent with these findings, Gabra4 CD4+ cells proliferated to a greater extent than WT CD4+ cells after 72 h of stimulation in vitro (Fig. 7, A and B; Student’s t-test, **P < 0.01; n = 3 mice). These in vitro studies suggest an innate difference between Gabra4 KO and WT lymphocyte cellular function exhibited by enhanced and more sustained activation following stimulation.
DISCUSSION
The results presented here demonstrate that global knockout of the GABAAR α4-subunit leads to a greater degree of lung inflammation and in vivo airway reactivity in a murine model of inflammation/allergic asthma. Despite this increase in in vivo resistance, ex vivo tracheal ring organ bath experiments demonstrate that the ASM from these mice behaves similarly when removed from the in vivo inflammatory milieu, both in terms of contraction in response to a muscarinic agonist and relaxation in response to a β-agonist. Therefore, the in vivo airway reactivity difference demonstrated between WT and GABAAR α4-subunit KO mice is not likely due to a primary ASM effect, despite the fact ASM expresses GABAARs containing α4-subunits (9, 45).
Histologic analysis demonstrates a striking increase in inflammatory cell infiltration in sensitized Gabra4 KO mice, particularly eosinophils, which are key mediators of the Th2-predominant subtype of asthma (4, 41). Notably, flow cytometric analyses revealed a loss of the lung lymphocyte population in HDM-sensitized Gabra4 KO mice, even though the remaining CD4+ cells expressed higher levels of markers of T-cell activation/memory. Given the heightened level of eosinophilic infiltration presumably orchestrated by activated CD4+ T cells and resident innate immune cells, this suggests that these lymphocytes may have become apoptotic during the prolonged 3-wk period of allergic sensitization. Regardless, this enhanced inflammation is likely the cause of the heightened in vivo airway reactivity demonstrated in Gabra4 KO mice.
Mechanistically, it is not yet clearly understood how genetic deletion of the GABAAR α4-subunit leads to changes in the inflammatory response to HDM. Given the evidence that we and others have presented demonstrating α4-subunit-containing GABAAR expression on immune cells (1, 3, 7, 25, 32, 36, 43), we hypothesize that the difference in the immune response to HDM is a result of alterations in peripheral immune cell function. Consistent with this, we demonstrated that Gabra4 KO CD4+ cells, key mediators of allergic inflammatory responses, are “hyperresponsive” to T-cell receptor stimulation in vitro. These cells express higher levels of several proinflammatory cytokines, with altered kinetics (i.e., prolonged activation), and proliferated more rapidly than WT CD4+ cells under the same conditions. In vivo, such CD4+ cells might behave similarly, orchestrating a heightened immune response to HDM, which ultimately results in heightened airway reactivity. This is consistent with our studies of intrapulmonary immune cells in the present study, as we demonstrate that CD4+ cells in Gabra4 KO mice express higher levels of activation/memory markers than WT mice after 3 wk of HDM-sensitization, despite a relative loss of total number of lymphocytes demonstrated on FSC/SSC analysis.
Because the GABAAR is an ion channel, one might assume that knockout of the α4-subunit would only affect lymphocyte function if alterations in lymphocyte membrane potential affect key cellular processes. Lymphocytes are not considered “excitable” cells in the way neurons or muscle cells are, but they do express a number of ion channels and alterations in membrane potential can drastically affect lymphocyte activation in response to antigen (23). For example, inhibition of certain plasma membrane potassium channels, which results in a depolarization of membrane potential, significantly inhibits T-cell activation (6, 19, 20, 23, 35). In fact, there is significant interest in utilizing potassium channel inhibitors to treat a number of autoimmune diseases (2, 31), including multiple sclerosis (44) and alopecia areata (12). This membrane potential-dependent lymphocyte inhibition likely results in altered cellular calcium dynamics. Effective T-cell activation following antigen presentation to the T-cell receptor requires cytosolic calcium levels to be elevated for a period of ~1–2 h to induce and maintain nuclear factor of activated T cells in its transcriptionally active state within the nucleus (21). Initially, this calcium elevation results from phospholipase C/1,4,5-inositol trisphosphate-mediated endoplasmic reticulum (ER) calcium release. However, lymphocyte ER calcium stores are insufficient to produce the necessary elevation in calcium concentration required for T-cell activation. Calcium must enter from the extracellular space (21). In lymphocytes, the majority of this calcium enters via a process termed store-operated calcium entry, which has been well described (22). Briefly, following ER calcium release, low ER concentrations of calcium are detected by STIM1, which then forms a complex with Orai1 in the plasma membrane that serves as a channel for calcium entry. Although this complex is not voltage gated, calcium entry the STIM-Orai complex is subject to changes in its electrochemical driving force. This is thought to be the mechanism by which potassium channel inhibitors suppress antigen-driven lymphocyte activation (23). Opening a GABAAR is also predicted to depolarize lymphocyte membrane potentials by allowing chloride efflux [due to a resting membrane potential of approximately −50 to −70 and a high intracellular chloride concentration estimated to be 56 mM (30), although possibly even as high as 80 mM] (11). This may inhibit calcium entry and cellular activation in a fashion similar to inhibiting potassium channels.
Some GABAARs, particularly those located in CNS extrasynaptic sites and those located outside of the CNS, produce tonic chloride currents. These tonic currents may exist in lymphocytes providing a tonic depolarizing contribution to membrane potential. Global knockout of the GABAAR α4-subunit may diminish this tonic current, causing the membrane potential to become relatively hyperpolarized. This would favor calcium influx via the STIM-Orai complex after antigen presentation to the T-cell receptor, leading to a state of heightened cellular activation and potentially apoptosis, another calcium-dependent process (27). This may explain the heightened inflammatory state of the GABAAR α4-KO mice and the apparent apoptosis of their lymphocytes.
Alternatively, it is interesting to note that, in addition to chloride, GABAARs are permeant to bicarbonate. Thus activation of GABAAR decreases intracellular pH (17, 18). Given the small size of a lymphocyte, this drop could be particularly significant. The pore region of Orai1 is highly basic (a glutamate serves as selectivity filter) (14), and calcium conductance through Orai1 is significantly hindered by decreases in intra- and extracellular pH (40). Thus GABAAR activation may inhibit store-operated calcium entry not by depolarizing membrane potential but by intracellular acidification. Further studies into these hypotheses are underway.
Given the important role that GABAARs play in CNS inhibitory neurotransmission, it is also possible that the heightened immune response demonstrated here in Gabra4 KO mice is a result of alterations in CNS signaling. In recent years, several elegant studies have demonstrated that CNS outputs have significant effects on the immune system, including the so-called “inflammatory reflex” by which vagal nerve signaling into the spleen serves as a check on systemic inflammation (29, 39). It is possible that the change in GABAAR signaling that results from Gabra4 KO leads to an alteration in CNS outputs that modulate the immune response. It should be noted that these mice appear neurologically normal and differences in neurologic assessment have only been demonstrated in the mice’s response to a certain neurosteroid (15). Furthermore, the in vitro CD4+ cell cytokine and production data presented here argue that a peripheral immune cell-mediated effect is contributing to the increased inflammatory state seen in Gabra4 KO mice. However, these considerations do not rule out the possible contribution of CNS-mediated mechanisms.
Although a model of inflammatory asthma is presented here, there is no reason to believe that GABAAR signaling might not also modulate immune function in other physiologic and pathophysiologic processes. These include infectious states like sepsis, inflammatory responses like systemic immune response syndrome and acute respiratory distress syndrome, and chronic autoimmune diseases. In fact, tumor surveillance might also be affected by GABAAR signaling, providing a potential mechanistic link between anesthetic exposure and cancer recurrence. Given the widespread use of GABAAR-modulating drugs in clinical anesthesia practice, both in operating rooms and in intensive care units, more research is warranted to understand their potential implications on immune function.
In summary, this study demonstrates that murine lymphocytes express mRNA encoding multiple GABAAR subunits, including that of the α4-subunit, and that global knockout of the GABAAR α4-subunit leads to a more severe asthmatic phenotype in a murine inflammatory/allergic asthma model, both in terms of in vivo airway reactivity and airway inflammation. This increased reactivity is likely the result of the increased inflammation, not a direct smooth muscle effect, as ex vivo organ bath experiments showed no difference in the contractile properties of WT and GABAAR α4-subunit KO tracheal rings. We propose that, under normal conditions, chloride and/or bicarbonate currents mediated by GABAAR channels act to restrict immune cell activation by limiting calcium entry through the STIM-Orai complex. Furthermore, this effect may be diminished in Gabra4 KO mice, making their immune cells more “excitable.” Further mechanistic studies are required to understand GABAAR signaling events in immune cells.
GRANTS
This work was supported by the Foundation for Anesthesia Education and Research (G. T. Yocum and J. Danielsson), the Stony Wold-Herbert Fund (to G. T. Yocum and J. Danielsson), and National Institutes of Health Grants GM-065281 (to C. W. Emala and G. T. Yocum), AA-10422 (to G. E. Homanic), and HL-122340 (to C. W. Emala). A portion of the research reported in this publication was performed in the Columbia Center for Translational Immunology Flow Cytometry Core, supported in part by the Office of the Director, National Institutes of Health Award S10-RR-027050.
DISCLOSURES
No conflicts of interest, financial or otherwise, are declared by the authors.
AUTHOR CONTRIBUTIONS
G.T.Y., D.L.T., J.D., M.B.B., Y.Z., D.X., N.H., G.E.H., D.L.F., and C.W.E. conceived and designed research; G.T.Y., D.L.T., J.D., M.B.B., Y.Z., and D.X. performed experiments; G.T.Y., D.L.T., J.D., M.B.B., Y.Z., D.X., D.L.F., and C.W.E. analyzed data; G.T.Y., D.L.T., J.D., M.B.B., D.X., N.H., G.E.H., D.L.F., and C.W.E. interpreted results of experiments; G.T.Y. and D.L.T. prepared figures; G.T.Y. drafted manuscript; G.T.Y., D.L.T., J.D., M.B.B., Y.Z., D.X., N.H., G.E.H., D.L.F., and C.W.E. edited and revised manuscript; G.T.Y., D.L.T., J.D., M.B.B., Y.Z., D.X., N.H., G.E.H., D.L.F., and C.W.E. approved final version of manuscript.
ACKNOWLEDGMENTS
Present address of D. L. Turner: Dept. of Biology, Williams College, Williamstown, MA.
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