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Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 2018 Mar 26;115(15):3858–3863. doi: 10.1073/pnas.1722257115

Structural basis for the ethanol action on G-protein–activated inwardly rectifying potassium channel 1 revealed by NMR spectroscopy

Yuki Toyama a,b, Hanaho Kano a, Yoko Mase a, Mariko Yokogawa a,1, Masanori Osawa a,1, Ichio Shimada a,2
PMCID: PMC5899474  PMID: 29581303

Significance

Ethanol exerts various functions by acting on ion channels in neural systems. Despite its biological importance, molecular mechanisms underlying the ethanol action remained unknown, due to the weak binding affinity and the dynamic nature of the interaction. Here, by using solution NMR techniques, we investigated the molecular interaction of ethanol with G-protein–activated inwardly rectifying potassium channel (GIRK), which is a physiologically relevant target of ethanol, and revealed that ethanol activates GIRK by shifting the conformational equilibrium of GIRK to stabilize the open conformation of the cytoplasmic ion gate. These findings provide structural insights into mechanisms of the ethanol action for various types of ethanol-sensitive signaling molecules and would facilitate the developments of pharmaceutical compounds targeting ion channels.

Keywords: NMR, GIRK, ethanol, ion channels

Abstract

Ethanol consumption leads to a wide range of pharmacological effects by acting on the signaling proteins in the human nervous system, such as ion channels. Despite its familiarity and biological importance, very little is known about the molecular mechanisms underlying the ethanol action, due to extremely weak binding affinity and the dynamic nature of the ethanol interaction. In this research, we focused on the primary in vivo target of ethanol, G-protein–activated inwardly rectifying potassium channel (GIRK), which is responsible for the ethanol-induced analgesia. By utilizing solution NMR spectroscopy, we characterized the changes in the structure and dynamics of GIRK induced by ethanol binding. We demonstrated here that ethanol binds to GIRK with an apparent dissociation constant of 1.0 M and that the actual physiological binding site of ethanol is located on the cavity formed between the neighboring cytoplasmic regions of the GIRK tetramer. From the methyl-based NMR relaxation analyses, we revealed that ethanol activates GIRK by shifting the conformational equilibrium processes, which are responsible for the gating of GIRK, to stabilize an open conformation of the cytoplasmic ion gate. We suggest that the dynamic molecular mechanism of the ethanol-induced activation of GIRK represents a general model of the ethanol action on signaling proteins in the human nervous system.


Ethanol exerts a wide range of physiological effects, such as cognitive-impairing, anxiolytic, and analgesic effects, by modulating the activities of various types of signaling proteins in the central nervous system, particularly ion channels (1, 2). Although numerous target proteins of ethanol have been identified so far, the detailed molecular mechanisms underlying the ethanol action have still remained unclear. Structural and biochemical analyses would facilitate the development of anesthetics and other pharmaceutical compounds acting on the central nervous system, since it has been proposed that ethanol and anesthetics produce similar pharmacological effects by binding to an overlapping site (35). The ion channels associated with the ethanol action include N-methyl-d-aspartate receptors (6), γ-amino butyric acid receptors (7), and G-protein–activated inwardly rectifying potassium channels (GIRK) (810). GIRK is a member of the inwardly rectifying potassium channel (Kir) family, which regulates neural excitabilities (11, 12). Along with the βγ subunit of G protein (Gβγ) released upon the activation of G-protein–coupled receptors, ethanol is known to directly open GIRK. The opening of GIRK is invoked by ethanol at physiologically relevant concentrations (on the order of 10−2 M, or 0.1% blood alcohol level), and behavioral studies have shown that weaver mutant mice, which have mutated GIRK with impaired K+ selectivity, and GIRK knockout mice exhibited diminished ethanol-induced analgesia (8, 10, 1315). These observations indicate that the opening of GIRK by ethanol is closely related to the ethanol action in vivo.

GIRK functions as a tetramer, consisting of a transmembrane (TM) and a cytoplasmic (CP) region, and a K+ pathway is formed at the center of the tetramer. GIRK possesses two K+ gates: the helix bundle crossing formed by the TM helices and the G-loop on the membrane side of the CP region (Fig. S1A) (1619). Although the structure of GIRK bound to ethanol has not yet been solved, the crystal structure of a different subtype of Kir, Kir2.1, bound to an alcohol compound, 2-methyl-2,4-pentanediol (MPD), suggested that the alcohol binding pocket is located at the interface between the two neighboring cytoplasmic regions, and a similar cavity is also found in the corresponding position of GIRK (Fig. S1 B and C) (20, 21). Recently, Bodhinathan and Slesinger (22) revealed that ethanol binding involves an increase in the affinity for a membrane phosphatidylinositol 4,5-bisphosphate (PIP2) by utilizing an alcohol-tagging strategy, in which a single thiol-reactive cysteine at or near the putative ethanol-binding pocket is chemically modified with a hydroxyethyl methanethiosulfonate reagent to mimic an ethanol-bound state. However, since these findings are based on results obtained using an alcohol with a different functional property (MPD actually inhibits Kir2.1), and chemical compounds covalently attached to GIRK, the actual functional ethanol-binding site of GIRK, the physiochemical properties of the interaction, and the structural changes induced by ethanol binding have still remained unclear.

One of the major difficulties in studying the mechanisms of the ethanol action is the extremely weak binding affinity, compared with typical protein–ligand interactions. Electrophysiological studies reported that the addition of 200 mM ethanol did not fully activate GIRK, suggesting that the binding affinity of ethanol is on the order of hundreds of millimolar or more (8, 9). The weak binding affinity of ethanol has also been reported for other ethanol-binding proteins and severely hampers the understanding of the nature of the ethanol binding and the detailed structural characterization of the ethanol-bound state (2). In fact, among the known ethanol-binding proteins, only a few structures of the specific ethanol–protein complexes have been solved so far (23, 24). Another roadblock is the dynamic nature of the ethanol action on proteins, which is usually difficult to characterize by conventional structural and biochemical methods. Solution NMR spectroscopy is one of the most powerful methods for studying the dynamic nature of proteins; however, the ethanol-binding proteins in the neural systems, such as ion channels, usually have large molecular weights over 100,000, thus hampering the applications of NMR. The ethanol-binding protein LUSH, an odorant binding protein from Drosophila melanogaster, has a relatively small molecular weight of 17,000 that is amenable to NMR analyses, and that revealed that ethanol binding induces few differences in the static structures and modulates conformational exchange processes of the proteins (2325). Considering that the functional importance of conformational exchange processes has been proposed for various types of ion channels including GIRK (19, 2628), the conformational exchange processes in GIRK and the ethanol action on them must be characterized to fully understand the mechanism of the ethanol action.

In this study, we investigated the ethanol action on GIRK by utilizing solution NMR techniques optimized for high–molecular-weight systems and analyzed the weak GIRK–ethanol interactions and conformational exchange processes of GIRK at atomic resolution. Our NMR analyses revealed that ethanol binds to the cavity formed between the neighboring cytoplasmic regions of GIRK, which is similar to the alcohol-binding pocket found in the Kir2.1–MPD complex, and induces structural and dynamic rearrangements of the cytoplasmic G-loop gate, with an apparent dissociation constant (Kd) of 1.0 M. Based on the results, we propose the dynamic activation mechanism of GIRK induced by ethanol.

Results

Chemical Shift Changes Observed in the GIRK CP Region upon Ethanol Addition.

Electrophysiological studies using chimeric GIRK constructs revealed that the region responsible for the ethanol action is located in the CP region of GIRK (9). Therefore, we used the cytoplasmic regions of mouse GIRK1, composed of residues 41–63 and 190–371 fused into a single polypeptide (GIRKCP) (16), to investigate the interaction with ethanol. The validity of the construct is supported by the facts that GIRKCP forms a tetrameric structure that is almost identical to the CP region in the full-length GIRK, and that GIRKCP can interact with physiological binding partners, such as polyamines, a Gβγ protein, and a Gα protein (17, 2931).

To investigate the interaction of GIRKCP with ethanol, we analyzed the NMR spectral changes of GIRKCP upon the addition of ethanol. Although we previously reported the backbone amide 1H–15N resonance assignments, some residues forming the putative ethanol-binding pocket were not assigned, due to severe signal broadenings (32). To alleviate this problem, we adopted selective methyl-labeling strategies and applied methyl transverse relaxation-optimized spectroscopy (TROSY) techniques (33) that can be effectively applied to high–molecular-weight proteins, such as GIRKCP with a molecular weight of 96,000 as the tetramer. We prepared a {u-[2H,15N]; Alaβ, Ileδ1, Leuδ1, Valγ1, Metε-[13CH3]} GIRKCP sample, and analyzed the changes in the 1H–13C heteronuclear multiple quantum coherence (HMQC) spectra upon the addition of ethanol (Fig. 1A and Fig. S2). The overlaid 1H–13C HMQC spectra of GIRKCP in the presence (red) and absence (black) of 2.0 M ethanol are shown in Fig. 1A. Small but significant chemical shift changes were observed in some methyl groups upon the titration of ethanol (Fig. 1B). The apparent Kd of ethanol was calculated to be 1.0 M, by fitting the titration curves of the chemical shift changes to a theoretical formula assuming a simple bimolecular interaction between one ethanol molecule and one GIRK monomer (Fig. 1C). We conducted similar experiments using the L246W mutant, which showed decreased ethanol-mediated activation by perturbing the structure of the putative ethanol-binding pocket deduced from the Kir2.1–MPD structure (21), and confirmed that the observed chemical shift changes were not due to nonspecific interactions or changes in the solvation effects (SI Text and Fig. S3).

Fig. 1.

Fig. 1.

NMR characterization of the interaction between GIRKCP and ethanol. (A) Overlay of the 1H–13C HMQC spectra of {u-[2H,15N]; Alaβ, Ileδ1, Leuδ1, Valγ1, Metε-[13CH3]} GIRKCP in the presence (red) and absence (black) of 2.0 M ethanol. (B) The ethanol concentration-dependent chemical shift changes of Val265γ1 and Leu333δ1. (C) Plots of the 1H chemical shift changes of Val265γ1 and Leu333δ1 as a function of the ethanol concentration. (D) Plots of the normalized chemical shift changes upon the addition of 2.0 M ethanol. The methyl groups with chemical shift changes larger than 0.04 ppm are colored red. The chemical shift changes, Δδ, are calculated by the equation, Δδ = {(Δδ1H)2 + (Δδ13C/5.6)2}0.5. (E) Mapping of the methyl groups with marked chemical shift changes on the structure of GIRKCP (PDB ID code 1N9P) (16). The methyl groups with chemical shift differences larger than 0.04 ppm are shown as red sticks, and the other methyl groups are shown as stick models. The schematic drawing of the GIRKCP tetramer (subunits A, B, C, and D), viewed from the membrane side, is included to indicate the view of the mapping. The structure of the putative ethanol-binding pocket of GIRKCP, deduced from the crystal structure of the Kir2.1–2-methyl-2,4-pentanediol complex, is also shown (21).

The methyl groups with chemical shift changes larger than 0.04 ppm were located on the βC strand (Val215), βE strand (Leu246), βF–βG loop (Leu264, Val265), βG strand (Ile270), βH strand (Val296, Ile298, Leu299, Ile302), βK–βL loop (Val330), βL strand (Leu333), and βM strand (Val340) (Fig. 1 D and E). Of these methyl groups, the methyl groups of Leu246 (βE) and Leu333 (βL strand) showed marked chemical shift changes larger than 0.09 ppm, which can be caused by the direct binding effect of ethanol. These methyl groups are clustered at the interface of the neighboring subunit and form a hydrophobic cavity on the solvent-exposed surface. These observations indicate that the cavity is responsible for the ethanol binding. Notably, Leu246 corresponds to Leu245 in Kir2.1 that forms the alcohol binding pocket identified in Kir2.1–MPD complex structure, strongly supporting the proposal that ethanol binds to the same pocket in GIRK as that identified in Kir2.1 (Fig. 1E and Fig. S1 B and C).

Conformational Exchange Processes of GIRKCP in the Absence of Ethanol.

Although chemical shift changes were observed upon the addition of ethanol, they were smaller than 0.1 ppm for the majority of the methyl groups, suggesting that the static structure is not substantially perturbed by ethanol binding. Our recent NMR analyses of prokaryotic KirBac1.1, which shares high structural and functional similarities with the eukaryotic Kir (34, 35), revealed that the conformational exchange processes exist in the cytoplasmic region, where significant structural changes occur during gating (36). Thus, we investigated the possibility that ethanol activates GIRK by modulating the conformational exchange processes of GIRKCP.

We conducted 1H–13C multiple-quantum (MQ) Carr–Purcell–Meiboom–Gill relaxation dispersion (CPMG RD) (37) and methyl–heteronuclear double resonance (HDR) (36) experiments, which can detect conformational exchange processes on millisecond-to-microsecond timescales, on the methyl groups of GIRKCP in the absence of ethanol. The plots of the exchange contributions to the MQ relaxation rates (RMQ,ex), calculated using the effective MQ relaxation rates (RMQ,eff) in the presence of 50 and 1,000 Hz CPMG pulse trains [RMQ,ex = RMQ,eff (50 Hz) − RMQ,eff (1,000 Hz)], and the exchange contributions to the differential MQ relaxation rates (ΔRMQ,ex), are shown in Fig. 2A. We observed marked exchange contributions larger than 20 s−1 in some methyl groups, showing that conformational exchange processes on millisecond-to-microsecond timescales occur in GIRKCP. Assuming a two-state exchange between the ground and excited states, we calculated the chemical shift changes (ΔωC for 13C, ΔωH for 1H), the exchange rate (kex), and the excited state population (pE) for each methyl group, which could simultaneously explain the experimentally observed MQ CPMG RD curves and the ΔRMQ,ex rates obtained from the methyl-HDR experiments (Fig. S4). The calculated kex and pE values for Val215, Met223, Ile270, Ile298, Ala312, and Leu333 were almost identical, indicating that the two-state assumption holds for GIRKCP and the exchange process can be described by two distinct conformations exchanging in a cooperative manner. Thus, we globally analyzed the MQ CPMG RD curves and the ΔRMQ,ex rates with single kex and pE values from these methyl groups, to obtain the kex value of 3,300 ± 30 s−1 and the pE value of 0.11 ± 0.0041 (Fig. 2B).

Fig. 2.

Fig. 2.

MQ CPMG RD and methyl-HDR analyses of GIRKCP in the absence of ethanol. (A) Plots of RMQ,ex rates obtained from the MQ CPMG RD experiments and ΔRMQ,ex rates obtained from the methyl-HDR experiments. The RMQ,ex rates at 18.8 tesla (800-MHz 1H frequency) and the ΔRMQ,ex rates at 14.1 tesla (600-MHz 1H frequency) are shown. (B) Fitting curves of the MQ CPMG RD profiles measured at 14.1 tesla (600-MHz 1H frequency; circles) and 18.8 tesla (800-MHz 1H frequency; triangles). (C) Mapping of the methyl groups with exchange contributions larger than 20 s−1 on the structure of GIRKCP (PDB ID code 1N9P) (16).

The methyl groups with marked exchange contributions were mapped onto the structure (Fig. 2C). These methyl groups were located on the βC strand (Val215), βD strand (Met223), βE strand (Leu246), βG strand (Ile270), βH strand (Val296, Val297, Ile298), βI strand (Ala312), and βL strand (Leu333). Notably, the affected regions nicely overlapped with the regions where significant structural changes occur in the gating of the cytoplasmic G-loop gate, which is responsible for the Gβγ-dependent K+ conduction (Fig. S1 DG) (19, 30), suggesting that the observed exchange processes reflect the conformational changes associated with the G-loop gating. Considering that the crystal structure of GIRKCP resembles the structure of the CP region with the open G-loop gate in a backbone conformation, we assumed that the ground and excited states represent the open and closed G-loop conformations, respectively. This assumption is further supported by the results of the E304A mutant (SI Text and Fig. S5).

Ethanol Stabilizes the Open G-Loop Conformation of GIRKCP.

To investigate whether ethanol affects the conformational exchange processes in GIRKCP, we conducted MQ CPMG RD and methyl-HDR experiments in the presence of ethanol. Remarkably, the exchange contributions to the MQ relaxation rates significantly decreased as the concentration of ethanol increased (Fig. 3A). The fitting of the MQ CPMG RD curves revealed that the closed-state population decreased to 0.093 ± 0.004 in the presence 0.5 M ethanol, compared with the closed-state population of 0.110 ± 0.004 in the absence of ethanol (Fig. 3 B and D). Although it was difficult to calculate the closed-state population in the presence of 2.0 M ethanol, due to the nearly flat dispersion profiles, we estimated the closed-state population to be 0.02–0.07 based on the observed RMQ,ex values (3.8 s−1 for Ile270 and 10.2 s−1 for Ile298 at 14.1 tesla), assuming that the chemical shift differences are not significantly perturbed and that the kex value is within the range of 3,000–5,000 s−1. These results indicate that ethanol shifts the conformational equilibrium to stabilize the open state. The stabilization of the open state was also evident from the peak positions of Ile270 and Ile298, which shifted toward the open-state peak positions as the ethanol concentration increased (Fig. 3C).

Fig. 3.

Fig. 3.

Effects of ethanol on the conformational exchange processes of GIRKCP. (A) Plots of RMQ,ex rates from MQ CPMG RD experiments in the absence (gray) and in the presence of 0.5 M (orange) and 2.0 M (red) ethanol. The RMQ,ex rates at 18.8 tesla (800-MHz 1H frequency) are shown. (B) MQ CPMG RD curves in the absence (black) and in the presence of 0.5 M (orange) and 2.0 M (red) ethanol. Black and orange lines represent the fitting curves of the MQ CPMG RD profiles. (C) Overlay of 1H–13C HMQC signals of Ile270 and Ile298 in the absence (black) and in the presence of 0.5 M (orange) and 2.0 M (red) ethanol. Cross marks denote the chemical shifts of the open and closed states, which were calculated using the exchange parameters from the MQ CPMG RD and methyl-HDR analyses. (D) Plots of the X2 values as a function of the closed-state population in the absence (black) and in the presence of 0.5 M ethanol (orange).

The TM Region Affects the Conformational Exchange Processes in the CP Region.

Although the results from GIRKCP quantitatively explained the mechanism of the ethanol action, electrophysiological studies showed that the open probability of GIRK was as low as 0.1–0.3 in the absence of ethanol (8, 38), which is apparently inconsistent with our result that the majority of GIRKCP adopts the open G-loop conformation in the absence of ethanol. We assumed that this difference originated from the absence of the transmembrane segment, which could affect the conformational exchange processes in the CP region. In fact, a set of crystal structures and our previous NMR analyses revealed that the CP region is structurally coupled to the TM region, through interactions involving the G-loop residues (17, 18, 30).

To investigate the effects of the presence of the TM region on the conformational exchange processes in the CP region, we analyzed a chimeric channel of GIRK1 (GIRK chimera), in which three-fourths of the transmembrane region were replaced with the pore of prokaryotic KirBac1.3 (17) (Fig. S6 A and B). The structure of the GIRK chimera is very similar to that of the mammalian GIRK, and an electrophysiological study revealed that the GIRK chimera could be activated by the addition of ethanol in planar lipid bilayers (39). The apparent molecular weight of the tetrameric GIRK chimera is about 200,000 in detergent micelles, which is near the upper molecular weight limit for NMR analyses, so we prepared a {u-[2H]; Ileδ1, Metε-[13CH3]} GIRK chimera sample and observed the 1H–13C HMQC spectra, to apply the methyl-TROSY techniques. The overlaid 1H–13C HMQC spectra of {u-[2H]; Ileδ1, Metε-[13CH3]} GIRK chimera in n-dodecyl-β-d-maltoside micelles and {u-[2H]; Ileδ1, Metε-[13CH3]} GIRKCP are shown in Fig. 4. The chemical shift differences were relatively small, and we were able to transfer the assignments of the signals from the CP region. The small chemical shift differences observed in Ile228 and Met308 are caused by the local structural differences between GIRKCP and the GIRK chimera. The difference in the Ile228 chemical shift reflects the difference in the ring current effect from the aromatic ring of Phe196, which is located in the TM–CP interface and adopts different conformations between the two constructs. In addition, the difference in the Met308 chemical shift is caused by the steric contacts formed between the TM helix (Fig. S6C). Although relaxation experiments were difficult to conduct due to the low protein concentration, we evaluated the conformational exchange processes of the GIRK chimera from the peak positions of the exchanging methyl groups. As expected, the peak positions of the Ile270 and Ile298 methyl groups, which are distant from the TM region and hence reflect the structural changes in the cytoplasmic G-loop gate, remarkably shifted toward the closed-state peak positions, supporting the hypothesis that the equilibrium shifted toward the closed state in the presence of the TM region. The shift in the peak position toward the closed state was similarly observed in Met223, which also reflects the open–closed equilibrium (Fig. 4 and Fig. S7). If we assume that the chemical shifts of the closed and open states are identical to those observed in GIRKCP, then the open- and closed-state populations of the GIRK chimera are estimated to be about 0.40 and 0.60, respectively, from the peak positions of Ile270 and Ile298 (Fig. S8 AC). The results obtained with the GIRK chimera are in better agreement with the electrophysiological studies in the absence of ethanol than those of GIRKCP, in which the open state is predominantly populated (8, 38). Moreover, these observations are consistent with the crystal structure of the GIRK chimera, in which the G-loop gate was solved as a partially closed conformation (Fig. S1 F and G).

Fig. 4.

Fig. 4.

NMR analyses of the GIRK chimera. Overlay of 1H–13C HMQC spectra of {u-[2H]; Ileδ1, Metε-[13CH3]} GIRKCP (black) and {u-[2H]; Ileδ1, Metε-[13CH3]} GIRK chimera (purple). The signals from the TM region are labeled with asterisks, and the signals with chemical shift differences are labeled. The close-up views of the 1H–13C HMQC signals of Ile270 (A) and Ile298 (B) are shown. Cross marks denote the chemical shifts of the open and closed states, which were calculated using the exchange parameters from the MQ CPMG RD and methyl-HDR analyses.

We also analyzed the changes in the NMR spectra of the GIRK chimera upon the addition of ethanol (Fig. S8D). The chemical shift changes observed in the GIRK chimera were very similar to those observed in GIRKCP, indicating that ethanol binds to the GIRK chimera and shifts the conformational equilibrium to stabilize the open conformation of the G-loop gate, as in the case of GIRKCP. From the peak positions of Ile270 and Ile298, the populations of the open state were estimated to be about 0.59 and 0.76 in the presence of 1.0 and 2.0 M ethanol, respectively. Small but significant chemical shift changes were also observed in the signals from the TM region, suggesting that the ethanol-induced changes in the CP region are allosterically coupled to the structural changes in the TM region.

Discussion

The ethanol titration experiment indicated that ethanol binds to GIRKCP with an apparent Kd of 1.0 M. Although the apparent Kd of 1.0 M appears to be quite large, the Kd value is consistent with the electrophysiological studies of GIRK, which showed that 200 mM ethanol did not fully activate GIRK (8, 9). Although the ethanol-bound population of GIRK is expected to be about 1.8%, assuming a blood ethanol concentration of 18 mM, which is relevant to human consumption (10), it has been proposed that a relatively small increase in the K+ current could have a substantial effect on the membrane excitability of neurons, by lowering the equilibrium potential and drawing farther from the firing threshold (9). Furthermore, functional analyses of GIRK by Slesinger’s group have suggested that the ethanol-induced activation of GIRK can be cooperatively potentiated by other activators of GIRK, such as PIP2 and cholesterol, which are usually present in native cell membranes (15, 22). Thus, the activated fraction of GIRK under physiological conditions is expected to be higher than that calculated using the in vitro Kd value obtained from our NMR analyses. Therefore, we concluded that the Kd of 1.0 M is reasonable for the interaction between GIRK and ethanol.

The results from the MQ CPMG RD and the methyl-HDR analyses revealed that the CP region of GIRK exists in a conformational equilibrium between the open and closed conformations of the G-loop gate. The kex values and the closed-state populations were almost identical in all methyl groups except for Leu246, suggesting that the structural transitions between the states occur in a highly correlated manner. The analyses of the X2 values as functions of the exchange parameters revealed that only Leu246 is strongly affected by a distinct exchange process, with larger kex (>4,000 s−1) and higher pE (>0.35) values than those observed in the other residues (Fig. S4). We suppose that the distinct exchange process in Leu246 reflects the conformational plasticity for adapting to multiple binding partners, such as Gβγ, since Leu246 is located adjacent to the binding site for Gβγ (βD–βE strands) (19, 30).

The results in the presence of ethanol revealed that ethanol binding shifts the conformational equilibrium to stabilize the open G-loop conformation, which would enable GIRK to permeate K+. The methyl groups with significant exchange contributions largely overlapped with those with significant chemical shift changes (Figs. 1D and 2A), and the quantitative analyses of the exchange parameters showed that the observed chemical shift changes are mainly attributed to the shift in conformational equilibrium (Fig. 3C). These results indicate the dynamic activation mechanism of GIRK by ethanol, in which ethanol activates GIRK by shifting the conformational equilibrium to stabilize the G-loop gate in the open conformation, rather than by inducing static structural changes (Fig. 5).

Fig. 5.

Fig. 5.

Schematic representations of the conformational equilibria in GIRKCP and the GIRK chimera, and the effects of ethanol on the equilibria. GIRKCP exists in conformational equilibrium between the open and closed conformations of the G-loop gate, and ethanol shifts the conformational equilibrium to stabilize the G-loop gate in the open conformation. The populations of the two states in the absence and the presence of ethanol were calculated from the MQ CPMG RD and methyl-HDR experiments with GIRKCP, and from the peak positions of Ile270 and Il298 in the GIRK chimera.

The results of the line shape analyses and ethanol-titration experiments of the GIRK chimera indicated that the conformational exchange processes and the ethanol-induced spectral changes in GIRKCP were well replicated in the GIRK chimera, which closely mimics the full-length GIRK, supporting the idea that the structural and dynamic changes observed in GIRKCP are preserved in the presence of the TM region (Fig. S8). The marked difference between the GIRK chimera and GIRKCP is that the population of the closed state in the GIRK chimera (=0.60) is larger than that observed in GIRKCP (=0.11) in the absence of ethanol (Fig. 4). The increase in the closed-state population in the GIRK chimera is consistent with the electrophysiological results that the closed state is predominantly populated in the absence of ethanol (open probabilities of 0.1–0.3 in GIRK, and 0.19 in the GIRK chimera) (8, 38, 39). The stabilization of the closed state is probably induced by the interactions formed between the βC–βD loop and the linker connecting the CP and TM regions, since the interactions are lost in GIRKCP. In fact, the Ala substitution of Arg201 in GIRK2, which is located on the CP–TM linker region, led to constitutive activation, and the crystal structure of the R201A mutant revealed the open G-loop gate (18). The ethanol titration results of the GIRK chimera showed that the open-state population increased from 0.40 to 0.59 and 0.76 upon the addition of 1.0 and 2.0 M ethanol, respectively (Fig. S8D). Although the increase in the open-state population is smaller than that obtained by the electrophysiological study of the GIRK chimera, in which the open probability increased from 0.19 to 0.54 upon the addition of 174 mM ethanol (39), the shift in the equilibrium would be sufficient for provoking the opening of GIRK. We suppose that the differences in the populations between the NMR and electrophysiological results are due to the differences in the membrane environment, which strongly affects the gating behavior of GIRK (17, 39), and the cooperative activation of GIRK by the membrane PIP2 present in the electrophysiological experiments (22).

In summary, we have demonstrated that ethanol binds to the ethanol-binding pocket of GIRK, located at the interface between the neighboring cytoplasmic regions, as in the case of the Kir2.1–MPD interaction, with an apparent Kd of 1.0 M, and ethanol binding modulates the conformational exchange processes of GIRK. Based on the MQ CPMG RD and methyl-HDR results, we proposed the dynamic activation mechanism, in which ethanol activates GIRK by shifting the conformational equilibrium to stabilize the open conformation of the G-loop gate. Considering the facts that the hydrophobic property of the ethanol-binding pocket and the dynamic nature of the ethanol action are preserved in other ethanol-binding proteins (21, 23, 24), the mechanism proposed here could provide structural insights into the mechanisms of ethanol action for various types of ethanol-sensitive signaling molecules.

Materials and Methods

GIRKCP and the GIRK chimera proteins were expressed in Escherichia coli cells and purified by chromatography on Ni-NTA resin and size exclusion chromatography. All NMR measurements were performed on Bruker Avance 500, 600, or 800 spectrometers equipped with cryogenic probes. The MQ CPMG RD and methyl-HDR measurements of GIRKCP were performed using the reported pulse sequences (36, 37), and the dispersion curves and the ΔRMQ,ex values were simultaneously analyzed to obtain the exchange parameters (ΔωC, ΔωH, kex, and pE). Full experimental details can be found in SI Materials and Methods.

Supplementary Material

Supplementary File
pnas.201722257SI.pdf (3.7MB, pdf)

Acknowledgments

This work was supported in part by grants from the Japan New Energy and Industrial Technology Development Organization and the Ministry of Economy, Trade, and Industry (to I.S.); the Development of Core Technologies for Innovative Drug Development Based upon IT from Japan Agency for Medical Research and Development (to I.S.); the Ministry of Education, Culture, Sports, Science and Technology/Japan Society for the Promotion of Science KAKENHI Grants JP25121707 (to M.O.), JP16H01368 (to M.O.), JP17H03978 (to M.O.), and JP17H06097 (to I.S.); a grant from Takeda Science Foundation (to M.Y.); a grant from The Vehicle Racing Commemorative Foundation (to M.O.); and a grant from SENSHIN Medical Research Foundation (to M.O.).

Footnotes

The authors declare no conflict of interest.

This article is a PNAS Direct Submission.

This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1722257115/-/DCSupplemental.

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