Abstract
Aim:
KCNQ1 and KCNE1 form a complex in human ventricular cardiomyocytes, which are important in maintaining a normal heart rhythm. In the present study we investigated the effects of a homologous series of 1-alkanols on KCNQ1/KCNE1 channels expressed in Xenopus oocytes.
Methods:
ECG recording was made in rats injected with ethanol-containing solution (0.3 mL, ip). Human KCNQ1 channel and its auxiliary subunit KCNE1 were heterologously coexpressed in Xenopus oocytes, which were superfused with ND96 solution; 1-alkanols (ethanol, 1-butanol and 1-hexanol) were delivered through a gravity-driven perfusion device. The slow-delayed rectifier potassium currents IKs (KCNQ1/KCNE1 currents) were recorded using a two-electrode voltage clamp method. Site-directed mutations (I257A) were made in KCNQ1.
Results:
In ECG recordings, a low concentration of ethanol (3%, v/v) slightly increased the heart rate of rats, whereas the higher concentrations of ethanol (10%, 50%, v/v) markedly reduced it. In oocytes coexpressing KCNQ1/KCNE1 channels, ethanol, 1-butanol and 1-hexanol dose-dependently inhibited IKs currents with IC50 values of 80, 11 and 2.7 mmol/L, respectively. Furthermore, the 1-alkanols blocked the KCNQ1 channel in both open and closed states, and a four-state model could adequately explain the effects of 1-alkanols on the closed-state channel block. Moreover, the mutation of I257A at the intracellular loop between S4 and S5 in KCNQ1 greatly decreased the sensitivity to 1-alkanols; and the IC50 values of ethanol, 1-butanol and 1-hexanol were increased to 634, 414 and 7.4 mmol/L, respectively. The mutation also caused the ablation of closed-state channel block.
Conclusion:
These findings provide new insight into the intricate mechanisms of the blocking effects of ethanol on the KCNQ1 channel.
Keywords: KCNQ1, KCNE1, IKs current, ethanol, 1-butanol, 1-hexanol, closed-state channel block, open channel block
Introduction
Ethanol has a wide range of pharmacological effects on the human body, and the enormous socioeconomic burden of its abuse has led to long and intense efforts to define the mechanism of its action. Ion channels and receptors in the nervous systems are associated with the acute physiological effect of ethanol. Ligand-gated ion channels activated by neurotransmitters, including GABA, glycine, glutamate, acetylcholine, serotonin, and purines, are all affected by ethanol. For example, intoxicating concentrations (5–50 mmol/L) of ethanol can facilitate GABAA receptor activity but inhibit NMDA receptor function, thus affecting the activity of neurons. Ethanol and many other anesthetics may directly or indirectly target one or more membrane proteins1,2,3; however, the underlying mechanisms that mediate its actions are still poorly understood4,5,6.
To date, many studies have documented that the functions of a variety of ion channels, receptors and transporters are altered by ethanol6. The effects of ethanol on ion channels are diverse. For instance, Covarrubias et al previously reported that moderate concentrations of ethanol (17–170 mmol/L) selectively inhibited a non-inactivating cloned potassium channel encoded by Drosophila Shaw27,8. Cavaliere et al demonstrated that the Drosophila KCNQ channel is more sensitive to ethanol than the mammalian KCNQ2/3 channel9. Clinically relevant concentrations of ethanol (10–100 mmol/L) rapidly and reversibly potentiated the activity of BK channels in excised patches of the neurohypophysial terminal membrane and in oocytes expressing cloned BK channels, and several dominant binding sites have been identified1,6,10,11,12,13,14,15. Human Kv1.5 channel currents were also inhibited by ethanol in HEK293 cells16. In addition, several laboratories have found that ethanol targets G-protein-gated inwardly rectifying potassium (GIRK) channels in the brain17,18,19,20,21. Interestingly, the transient receptor potential vanilloid 1 (TRPV1) can be directly activated by ethanol, and its responses to different stimuli also can be potentiated by ethanol22. Recently, Vigna et al reported that ethanol contributes neurogenic pancreatitis by activating the TRPV1 channel23. Biochemical and electrophysiological approaches have demonstrated the presence of ethanol-binding sites in various ion channel proteins, but there remains a considerable debate regarding the putative binding sites due to a lack of 3D structural data7,8,24.
Ethanol has been reported to affect the human heart rate25,26. KCNQ1 and KCNE1 form a complex in human ventricular cardiomyocytes and are involved in recharging the cardiac muscle after each heartbeat to maintain a regular rhythm. Loss-of-function mutations in the KCNQ1 gene cause hereditary long QT syndrome due to the reduction of the repolarizing potassium cardiac current. Given the importance of the KCNQ1 channel in the formation and propagation of cardiac action potential27,28,29,30, we sought to investigate whether ethanol has an effect on the KCNQ1 channel. In the present study, we report that a homologous series of 1-alkanols (ethanol, 1-butanol and 1-hexanol) could inhibit IKs (KCNQ1/KCNE1) currents in Xenopus oocytes in a concentration-dependent manner. Considering the importance of hydrophobic interaction during the binding of 1-alkanols to channel polypeptides, our results revealed that the inhibition potency was enhanced with increasing alkyl chain length from C2 to C6. Our results suggest that 1-alkanols could interact with the KCNQ1 channel in both the open and closed states. In addition, we demonstrated that a four-state model was able to globally fit the responses under all circumstances. Furthermore, we identified a critical residue, I257, within the intracellular loop between transmembrane segments 4 and 5 of the KCNQ1 channel that played a key role in the inhibition of KCNQ1/KCNE1 channels in the active pre-open state.
Materials and methods
Mutagenesis and expression
Full-length cDNA for human KCNQ1 was subcloned into PCI-CMCiso. All of the mutations were generated using the TransformerTM Site-directed Mutagenesis Kit, as described by the manufacture (Clontech, Mountain View, CA, USA). The resulting mutations were verified by restriction enzyme digestion and DNA sequencing. After the cDNA was linearized, SP6 RNA polymerase (Roche Applied Science, Indianapolis, IN, USA) was used to synthesize capped cRNA for microinjection. The final cRNA was resuspended in RNase-free water and stored at −80 °C.
Xenopus laevis oocytes were defolliculated by treatment with 2 mg/mL collagenase I (Sigma-Aldrich, St Louis, MO, USA) in Ca2+-free ND96 solution as previously described31. With a Drummond Nanoject II injector (Drummond Scientific Co, Broomall, PA, USA), 5–10 ng of cRNA was injected into stage V–VI Xenopus oocytes. In order to maintain KCNE1 subunits at a saturating concentration, we co-injected KCNQ1 and KCNE1 mRNAs into oocytes at a ratio of at least 1:2 by molecular weight. After injection, oocytes were then incubated in ND96 solution supplemented with 2.5 mmol/L sodium pyruvate, 100 U/mL penicillin and 100 μg/mL streptomycin at 18 °C for 2–7 days. The ND96 solution for oocytes consisted of (in mmol/L) the following: 96 NaCl, 2 KCl, 1.8 CaCl2, 1 MgCl2, and 10 H+-HEPES, pH 7.4 (adjusted with NaOH).
Electrophysiology
Currents were recorded at room temperature (22–25 °C) 2–3 days after cRNA injection. Two-electrode voltage-clamp measurements with the commercially available amplifier TURBO TEC-03X (NPI electronic GmbH, Hauptstrasse 96, D-71732 Tamm, Germany) and pClamp9 software (Molecular Devices, Sunnyvale, CA, USA) were obtained at steady state, typically 2–3 min after drug application. Patch pipettes that were pulled from borosilicate glass capillaries had resistances of 0.5–1.0 MΩ when filled with 3 mol/L KCl solution. Currents were recorded in ND96 solution, and the holding potential was −30 mV. Unless stated otherwise, following the voltage protocol for current recordings from a holding potential of −30 mV, the cells were pulsed to voltages between −60 mV and +60 mV in steps of 10 mV for 3 s, followed by a 1-s test pulse to −120 mV. During recording, the oocytes were regularly perfused with standard recording solution, after which 1-alkanols (C2, C4, and C6), such as ethanol, 1-butanol and 1-hexanol (diluted in the appropriate external solutions to the desired final concentrations immediately before use), were applied through a gravity-driven perfusion device at 4 mL/min or greater. Then, the solution equilibration currents were typically digitized and filtered at 2 and 1 kHz, respectively.
ECG recording
Male Wistar rats weighing 200–250 g were obtained from an animal house in the Hubei Provincial Center for Disease Control and Prevention (Wuhan, China) and housed under controlled environmental conditions of 20–25 °C, 50%–55% relative humidity, and 12-h light/dark cycle with free access to stock laboratory diet and water. After the induction of anesthesia, a set of different concentrations of ethanol (diluted in normal saline solution) or normal saline (as control) was then injected into the abdomen of rats, and approximately 40 min later, the HR (heart rate) data were obtained and analyzed by the Medlab system, which was connected to the rat's external tail, where the pulse was detected following the manufacturer's instructions. Once the experiments were completed, the animals were allowed to wake gently and then individually housed in a standard rat cage until their health condition was assured.
Data analysis
Data were analyzed with SigmaPlot software (SPSS Inc, USA) and Clampfit 9.0 software (Axon Instruments Inc, USA). Unless otherwise stated, all of the data are presented as the mean±SEM. n is the number of individual oocytes that were tested for each experiment. Statistical analyses were performed with Student's t-test using SigmaPlot. P<0.05 was considered statistically significant. Conductance-voltage (G-V) curves for activation were derived from peak currents at test potentials ranging from −60 to +60 mV for 3 s. The obtained data were fit with a Boltzmann function:
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where V50 is the voltage of the half-maximal activation of conductance, and k is the slope factor. Dose-response curves for activation were derived from peak currents at test potentials ranging from −60 mV to +60 mV for 3 s. The obtained data were fit with the Hill equation:
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where IC50 represents the concentration of the half-maximal blocking of the drug, and n is the Hill coefficient.
Block of both open and closed states
Model I (CB-OB model) was used to evaluate whether a blocker may act by binding to the same site in both open and closed states32,33.
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For Model I, the predictions of Po as a function of voltage and blocker concentration [X] are:
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where K−3/K3 denotes the KBC×exp(−zb*FV)/RT, and Equation 3 yields the following well-known expression for the dependence of conductance on voltage and blocker:
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where q is the valence that is associated with the activation equilibrium; V50 is the voltage of half-activation; KBO and KBC are the 0-voltage dissociation constants of blocker X for the open or closed state, respectively, with zb reflecting the intrinsic voltage dependence of the binding equilibrium; and R, T, and F are standard constants.
Open-channel block
Model II defines the basic open-channel blocking mechanism (OB model) with predictions for steady-state Po defined in Equation 4.
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where K−1/K1 denotes the exp(−qF(V−V50))/RT, and K−2/K2 is KBO×exp(−zb×FV)/RT. Then, Equation 4 yields the following well-known expression for the dependence of conductance on voltage and blocker:
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where all of the variables have the same definition as described in Model I.
Results
Ethanol leads to the sinus bradycardia of rats
We first performed electrocardiogram (ECG) recordings to evaluate the effects of ethanol on the cardiovascular system in adult male Wistar rats. The different concentrations of ethanol were injected into the abdomen of rats fixed using two cortical electrodes. Figure 1A illustrates the ECG recordings from different rats, showing that the heart rate was slightly faster when injected with the lower concentration of ethanol (3%, v/v) but was significantly reduced with an increasing concentration of ethanol compared to the control group or to that injected with normal saline. Although the voltage amplitude values were remarkably reduced, especially in the rats that were injected with higher concentrations of ethanol (eg, 50%), the ECG recordings in this study were mainly used for average heart rate measurements due to the broad effects of ethanol on ion channels. For example, it has been suggested that ethanol has an acute inhibitory effect on the gating of sodium channels in the heart34. Figure 1B summarizes the different effects of ethanol at various concentrations on the heart rate. The changes in ECG indicate that ethanol may enhance the hyperpolarization-activated cation (Ih) currents in sinus pacemaker cells to speed up the heartbeat at lower concentrations (3% ethanol) through a signal transduction pathway, eg, ethanol increases the larger-conductance Ca2+-activated K+ (IBK) currents to release more norepinephrine (NE) in chromaffin cells to stimulate the β-adrenergic receptors to increase Ih currents in pacemaker cells to speed up the heart beat35,36. In contrast, a relatively high concentration of ethanol (eg, 10% or 50%) might inhibit the IKs (KCNQ1/KCNE1) currents to prolong the duration of action potentials to slow down the heartbeat, which will be further illustrated by the following experiments.
Figure 1.
Electrocardiogram (ECG) changes in rats with acute ethanol treatments. (A) ECG recordings in adult male Wistar rats. Representative tracings of ECG recorded from individual rat before and after injection with 0.3 mL of normal saline or a solution containing 3%, 10% or 50% ethanol (v/v). Each solution was injected into the abdomen of a different rat fixed by two cortical electrodes. The proper position of ECG leads was monitored by the telemetry signal quality using the recording software, and all of the ECG traces were recorded until the quality of the ECG signal was considered acceptable, usually approximately 40 min after each treatment for an individual rat. The ∼1-s ECG recordings were mainly used for average heart rate measurements, albeit the voltage amplitude values being remarkably reduced, especially in the rats that were injected with high concentrations of ethanol (eg, 50%). (B) Comparison of heart rate responses to different treatments (n=3–6). Mean±SEM. bP<0.05 vs control. EtOH, ethanol.
Alkyl chain length determines the blocking efficiency of 1-alkanols on the KCNQ1/KCNE1 channel
To discern whether ethanol affects the IKs (KCNQ1/KCNE1) currents, we used two-electrode voltage-clamp technology to identify the pharmacological sensitivity of the channel to various members of the homologous series of 1-alkanols (C2, C4, and C6), such as ethanol, 1-butanol and 1-hexanol. The different concentrations of 1-alkanols were prepared and applied externally as described in the Materials and Methods section. The bath solution was continuously exchanged at 3–4 mL/min or greater to ensure the attainment of equilibrium. Figure 2A shows representative current traces resulting from a family of voltage steps either under control conditions or in the presence of ethanol (200 mmol/L), 1-butanol (50 mmol/L) or 1-hexanol (5 mmol/L). With voltage steps from −60 to +60 mV in 10-mV increments for 3 s, during which the current was stable, the IKs (KCNQ1/KCNE1) currents were remarkably suppressed with extracellular applications of ethanol, 1-butanol or 1-hexanol. Note that the IKs currents could be fully recovered after washing away the 1-alkanols. Figure 2B shows plots of relative currents vs voltage, demonstrating that ethanol, 1-butanol and 1-hexanol are inhibitors of KCNQ1/KCNE1 channels. The inhibition effects of all three 1-alkanols on IKs currents were increased in a concentration-dependent manner. Furthermore, we found that the inhibition potency was enhanced along with extending alkyl chain length from C2 to C6. For example, the application of 10 mmol/L 1-hexanol caused a 53%±2% reduction of IKs currents at +40 mV (n=6), but only 32%±3% and 28%±5% reductions for 10 mmol/L 1-butanol (n=7) and 10 mmol/L ethanol (n=5), respectively.
Figure 2.
Extending the alkyl chain length augments the inhibition efficiency of 1-alkanols on IKs currents as recorded in oocytes. (A) Representative currents were recorded from oocytes expressing wild-type KCNQ1/KCNE1 under two-electrode voltage–clamp by voltage steps from −60 to +60 mV in 10-mV increments lasting for 3 s in the presence and absence of 200 mmol/L ethanol (termed as EtOH; A1), 50 mmol/L 1-butanol (BuOH; A2) and 5 mmol/L 1-hexanol (HexOH; A3) as indicated. Voltage protocols included above current traces. (B) Summary plots of I–V curves before and after exposure to different concentrations of EtOH (B1; n=4), BuOH (B2; n=5) and HexOH (B3; n=5) as indicated. All of the currents at each concentration were normalized to their respective control values.
1-Alkanols inhibit IKs currents of KCNQ1 channels in both open- and closed-state
Because each blocking effect of ethanol, 1-butanol or 1-hexanol on IKs currents was reversible, we examined them in more mechanistic detail. Figure 3A shows the concentration-response curves of the inhibitory effects of ethanol (Figure 3A1), 1-butanol (Figure 3A2) and 1-hexanol (Figure 3A3) on IKs currents activated at a testing voltage of +60 mV. The respective IC50 values were estimated as 80±2 mmol/L for ethanol (n=4), 11±2 mmol/L for 1-butanol (n=5) and 2.7±1.7 mmol/L for 1-hexanol (n=5), showing that the IC50 values decreased by approximately 5-fold or 20-fold as the alkyl chain length increased from C2 to C4 or C6. These results further demonstrate that extending the alkyl chain length would accordingly increase the inhibition efficiency of 1-alkanols on IKs currents, which is also consistent with the previous report by Covarrubias8. As illustrated in Figure 3B, all three 1-alkanols exhibited a slightly stronger inhibition of IKs currents evoked at lower voltages. The hydrophobicity of the alkanol will be consequently increased upon increasing the alkyl side chain length. These results suggest that both the hydrophobic chains and voltage are important for responses of the KCNQ1/KCNE1 channels to 1-alkanols, to both of which hydrophobic interactions are major contributing factors.
Figure 3.
1-Alkanols inhibit IKs currents in both the open and closed state of wild-type KCNQ1/KCNE1 channels. (A) Dose-response curves for the open-channel block were plotted for EtOH (A1; n=4), BuOH (A2; n=5) and HexOH (A3; n=5) at +20 mV and were fitted to the Hill equation. Both the IC50 values and the corresponding Hill coefficient nH are indicated on each panel. (B) Voltage-dependence of IC50 values for EtOH (n=4), BuOH (n=4) and HexOH (n=3). The solid lines are the lines of best fit of the function k(V)=k(0)×exp(−zFV/RT), where k(0) represents the IC50 for 1-alkanols at 0 mV, and z is the fitted value for fractional charges moved during block reaction. The variables of F, R and T have their standard definitions. For EtOH, k(0)=0.0718 with z=−0.4749; k(0)=0.0338 with z=−0.6200 for BuOH; and k(0)=0.0021 with z=−0.5688 for HexOH. (C) Time courses and fractional inhibitions of KCNQ1/KCNE1 currents evoked at +60 mV in the presence of 200 mmol/L EtOH (n=4), 50 mmol/L BuOH (n=4) and 5 mmol/L HexOH (n=5). (D) Dose-dependence of three 1-alkanols effects on the closed state KCNQ1 channels. The inhibition values or ratios by 1-alkanols at the closed state were derived from the values at the intersection of the prolonged line of Idrug/Icontrol and the zero time axis (t=0 s), as shown in Figure 3C. The solid line represents a Hill equation fit. (E) Normalized conductance-voltage relationship. The conductances that were obtained from steady state currents at the end of the pulse in the presence of various concentrations of EtOH (E1), BuOH (E2) and HexOH (E3) were simultaneously fit to a four-state block model (Model I) as described in the main text (solid lines). The optimal fit for the open and closed-channel block (OB-CB) yielded KOB=90±8.2 mmol/L, KCB=60.8±7.0 mmol/L for EtOH (E1), KOB=20±5.2 mmol/L, KCB=17.6±6.1 mmol/L for BuOH (E2) and KOB=5.0±2.1 mmol/L, KCB=1.6±1.5 mmol/L for HexOH (E3). The error bars represent the SEM. EtOH, ethanol; BuOH, 1-butanol; HexOH, 1-hexanol.
To assess whether the blocking of each alkanol is time dependent, Figure 3C compared the fractional inhibition curves along with elapsed time at a testing potential of +60 mV. The inhibition varied during the channel opening duration (from the transient beginning to the steady state); thus, in the beginning, IKs currents elicited at +60 mV were blocked by more than 60% with the application of 200 mmol/L ethanol. However, the blocking ratio decreased to a stable value of approximately 40% as more channels opened. The results shown in Figure 3C indicate a closed-state block for ethanol, 1-butanol or 1-hexanol in addition to the open-channel block. To obtain a complete description of the closed-state block, IKs currents evoked at +60 mV were measured at the active pre-open state (at the time point of 100 ms during opening) before and after treatment with 1-alkanols. This measurement yielded a sigmoidal concentration-response curve for the closed-state block (Figure 3D). Fitting the data points with the Hill equation resulted in IC50 = 58±0.8 mmol/L for ethanol (n=4), 23±2 mmol/L for 1-butanol (n=5) and 5±0.8 mmol/L for 1-hexanol (n=5). The steepness of the curves remained largely unchanged (ethanol: nH of ∼0.5; 1-butanol: nH of ∼0.5; and 1-hexanol: nH of ∼0.5). Figure 3E summarizes plots of peak conductance vs voltage. Next, to obtain insight into the closed-state channel blocking, we found that a four-state block model (Model I), as described in the Materials and methods section, was able to adequately fit the responses globally under all circumstances, and the solid lines represent the best fits. The model-based fittings of the closed-state channel block yielded IC50 = 60.8±0.8 mmol/L for ethanol, 17.6±2 mmol/L for 1-butanol and 1.6±0.8 mmol/L for 1-hexanol, and these values were similar to those previously derived from the sigmoidal curve fits. Evidence from the adequate model fitting thus confirms that 1-alkanols could block the KCNQ1/KCNE1 channel in both open and closed states.
I257 is a critical residue for 1-alkanols binding to the KCNQ1 channel
Interestingly, the C elegans kqt-3/KCNE1 channel was less sensitive to ethanol compared to the KCNQ1 channel (Figure 4A and B), which might be due to some different key amino acids between kqt-3 and KCNQ1. In addition, the S4–S5 linker confers the modulation of the Shaw2 K+ channel by 1-alkanols, indicating that this conserved region of the K+ channel might play an essential role in interacting with 1-alkanols8. We thus performed a sequence alignment of the S4–S5 region where the ethanol binding pocket might be located between C elegans kqt-3 and human KCNQ1. Based on the sequence alignment, we found four different amino acids (Figure 4C). We previously reported that hydrophobicity has a remarkable effect on the affinity of 1-alkanol to the KCNQ1 channel (Figure 2), providing clear evidence that hydrophobic interactions might contribute greatly to the binding of 1-alkanols. As inferred from the hydrophobicity analysis of amino acids, we found that the most notable residue in the linker of S4-S5 was I257 in KCNQ1, whereas the corresponding residue was Ala in kqt-3. We thus focused on residue I257 in the linker of KCNQ1 and mutated it to the counter residue of kqt-3. The resultant mutation was designated as KCNQ1(I257A). Upon the expression of KCNQ1(I257A) with KCNE1 in oocytes, the mutant channel also exhibited an activation profile similar to that of the wild-type channel, as evoked by the same voltage protocol (Figure 4D). As expected, the mutation of I257A reduced the KCNQ1 channel sensitivity to ethanol (400 mmol/L; Figure 4D1 middle), 1-butanol (200 mmol/L; Figure 4D2 middle) and 1-hexanol (10 mmol/L; Figure 4D3 middle). Figure 4E shows plots of relative currents vs test potential (I–V curves) under different treatments. A statistical analysis revealed that the percentage of blockage for I257A decreased to 36%±2%, 28%±1%, and 30%±2% by the application of 200 mmol/L ethanol, 50 mmol/L 1-butanol, and 5 mmol/L 1-hexanol, respectively. In contrast, wild-type IKs currents decreased to 55%±2%, 41%±3%, and 47%±1% with the application of 200 mmol/L ethanol, 50 mmol/L 1-butanol, and 5 mmol/L 1-hexanol, respectively (Figure 2 and 3). Hence, the residue I257 plays a critical role in the inhibition of KCNQ1/KCNE1 channels by 1-alkanols.
Figure 4.
I257, the residue in the intracellular linker of transmembranes S4 and S5, is critical for the 1-alkanol inhibition of KCNQ1 channels. (A) Effects of ethanol on kqt-3 currents. Representative outward current in oocytes expressed with kqt-3 and KCNE1 were evoked by step depolarizations from −90 mV to +60 mV in 10-mV increments in the presence and absence of 200 mmol/L EtOH. The interpulse interval was 3 s. Voltage protocols are presented above current traces. (B) Summary plots of relative currents over voltage before and after exposure to different concentrations of EtOH (n=4), showing that ethanol (200 mmol/L) has a slight effect on kqt-3 currents. (C) An amino acid alignment of the linker of S4 and S5 between C elegans kqt-3 and human KCNQ1. (D) Representative current traces from oocytes that were injected with KCNQ1 (I257A) and KCNE1 in response to voltage steps from −60 to +60 mV in 10-mV increments for 3 s in the presence and absence of 400 mmol/L EtOH (D1), 200 mmol/L BuOH (D2) and 10 mmol/L HexOH (D3) as indicated. (E) Summary plots of relative current over voltage before and after exposure to different concentrations of EtOH (B1; n=4), BuOH (B2; n=5) and HexOH (B3; n=5) as indicated. All of the currents at each concentration were normalized to their respective control values. The error bars indicate the SEM. EtOH, ethanol; BuOH, 1-butanol; HexOH, 1-hexanol.
The dose-response relationships of I257A also suggest a drastic effect of the residue on KCNQ1 channel sensitivity to 1-alkanols. Figure 5A shows the concentration-dependent effects of all three 1-alkanols on I257A evoked at +20 mV, yielding IC50=634±0.8 mmol/L for ethanol (n=5), 414±2 mmol/L for 1-butanol (n=5) and 7.4±0.8 mmol/L for 1-hexanol (n=6), which are much higher than those obtained in the wild-type KCNQ1 channel. As illustrated in Figure 5B, the voltage dependence of IC50 was also weaker than that previously described for the wild-type KCNQ1 channels, and the mutation also resulted in the ablation of the closed channel block (Figure 5C). In contrast, we found that an open-channel blocking model (Model II), different from the closed state blocking model (Model I), could adequately fit the responses simultaneously under all circumstances. Taken together, these results suggest that residue I257 plays a key role in the interactions between the 1-alkanols and the closed-state KCNQ1 channel, and the different sensitivities to 1-alkanols in kqt-3 and KCNQ1 would be due to hydrophobic interactions. In this case, the substitution of I257 by alanine would decrease the hydrophobic forces and thus weaken the inhibitions. In contrast, we found that an open-channel blocking model (Model II), different from the closed state blocking model (Model I), could adequately fit the responses simultaneously under all circumstances (Figure 5D).
Figure 5.
Substitution of I257 by alanine abrogates the closed-state block of the KCNQ1 channel by 1-alkanols. (A) Dose-response curves for the open-channel block by 1-alkanols; best fitting by Hill's equation resulted in the following: IC50=634±0.8 mmol/L, nH=0.5 for EtOH (A1, n=5); IC50=414±7.0 mmol/L, nH=0.5 for BuOH (A2, n=5); and IC50=7.4±0.8 mmol/L, nH=0.7 for HexOH (A3, n=6). (B) Summary plots of the logarithm of IC50 versus voltage. Solid lines represent the best fits of the function k(V)=k(0)×exp(−zFV/RT), where k(0) represents the IC50 for 1-alkanols at 0 mV, and z is the fitted value for fractional charges moved during the block. The variables F, R and T have their standard definitions. The fits yield the following model parameters: k(0)=0.2053 with z=−0.4010 for EtOH; k(0)=0.0498 with z=−0.6217 for BuOH; and k(0)=0.0052 with z=−0.6999 for HexOH. (C) Normalized peak current amplitudes are plotted as a function of elapsed time. Currents that were encoded with the mutant I257A and KCNE1 were recorded in the presence of 400 mmol/L EtOH, 200 mmol/L BuOH and 10 mmol/L HexOH, respectively. The membrane potential was depolarized to +60 mV lasting for 3 s. (D) Each average C/Gmax vs voltage plot with simultaneous fits to the 3-state model for the open channel block (Model II) of I257A with KCNE1 in the presence of various concentrations of EtOH (D1), BuOH (D2) and HexOH (D3). See text for details. The fits correspond to the following parameter values: KOB=600±18.5 mmol/L for EtOH, KOB=400±20.1 mmol/L for BuOH and KOB=2.9±3.2 for HexOH. The error bars indicate the SEM. EtOH, ethanol; BuOH, 1-butanol; HexOH, 1-hexanol.
Discussion
Alcohol abuse and addiction have been major threats to human health37,38, and drunk driving (ethanol >17 mmol/L as quantified by blood alcohol content) is the largest problem and generates the most social attention.
Alcohol and general anesthetic agents interact with related and relatively specific binding sites in multiple protein targets1,2,3,7. Aliphatic alcohols (eg, 1-alkanols) have been used to probe the physicochemical properties of these binding sites8. Findings from these studies are consistent with the presence of physically circumscribed hydrophobic protein cavities that constitute the alcohol and general anesthetic sites.
Amphiphilic binding sites are the foundation of the protein-based theories of alcohol intoxication and general anesthesia that have gained significant recognition in the past. The physiological importance and molecular properties of such active sites have been mainly inferred from the relationship between the narcotic effect and anesthetic solubility, as well as studies with model soluble proteins and theoretical arguments24. Although it is clear that ion channels and other membrane proteins harbor relatively specific and relevant sites for general anesthetic agents, the physicochemical and molecular features of these sites are still not well understood.
In this study, we present the interaction of three members of the homologous series of 1-alkanols with a cloned K+ channel KCNQ1; these molecules have been commonly used to study the biological bases of general anesthesia and alcohol action8. In our experiments, the depression of IKs currents by 1-alkanols revealed that hydrophobic interactions exert a major influence on the interaction between KCNQ1 channels and 1-alkanols. Several studies have suggested that the site of 1-alkanol action was a discrete hydrophobic cleft or pocket, most likely located in the channel polypeptide8. In our case, when ethanol was applied extracellularly, the molecules of ethanol penetrated the cell membrane and blocked the channels through the hydrophobic interaction sites I257 located in the linker of S4–S5.
In addition, the ratio of inhibition in the closed state possessed a larger proportion. The closed-state block demonstrates that the main effect of ethanol block occurs in the first 100 ms, just after the channel is activated, and remains in a stable open state thereafter. In other words, 1-alkanol binding may arise from stabilizing the interface in a configuration that favors the pre-open activated state of the KCNQ1 channel39. This block mechanism was similarly discussed by Christopher J LINGLE, who analyzed the different channel block states of BK channels by several toxins in detail32,33. Based on the results of the current study, we doubt that there are other amino acids related to the ethanol binding in KCNQ1, as residue I257 was mainly responsible for the closed-state channel block; therefore, some open questions still remain to be answered.
In conclusion, given the unique biophysical properties of KCNQ1, we can relate the inhibition of this channel by 1-alkanols to a possible anesthetic effect. Moreover, the methods described in this study might be used to examine the toxicology of other channels that are candidate targets of ethanol.
Author contribution
Jing YAO and Jiu-ping DING conceived and designed the experiments; Chang XIE, Hao-wen LIU, Na PAN and Jing YAO performed the research, designed the experiments and analyzed the data; Jing YAO, Hao-wen LIU and Jiu-ping DING wrote the paper.
Acknowledgments
We are grateful to Dr Bo ZHONG for the critical reading and our colleagues for their comments and discussions. This work was supported by the National Basic Research Program of China (No 2014CB910300), the National Natural Science Foundation of China grants (No 31271209 and 31328007), the Natural Science Foundation of Hubei Province (No 2015CFA095), and Specialized Research Fund for the Doctoral Program of Higher Education of Ministry of Education of China (No 20120142120062); Jing YAO was also supported by university fund (No 2042014KF0230).
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