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Research ArticleArticle

Mechanism of Modification, by Lidocaine, of Fast and Slow Recovery from Inactivation of Voltage-Gated Na+ Channels

Vaibhavkumar S. Gawali, Peter Lukacs, Rene Cervenka, Xaver Koenig, Lena Rubi, Karlheinz Hilber, Walter Sandtner and Hannes Todt
Molecular Pharmacology November 2015, 88 (5) 866-879; DOI: https://doi.org/10.1124/mol.115.099580
Vaibhavkumar S. Gawali
Center for Physiology and Pharmacology, Department of Neurophysiology and Neuropharmacology (V.S.G., P.L., R.C., X.K., L.R., K.H., H.T.) and Center for Physiology and Pharmacology (W.S.), Medical University of Vienna, Vienna, Austria
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Peter Lukacs
Center for Physiology and Pharmacology, Department of Neurophysiology and Neuropharmacology (V.S.G., P.L., R.C., X.K., L.R., K.H., H.T.) and Center for Physiology and Pharmacology (W.S.), Medical University of Vienna, Vienna, Austria
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Rene Cervenka
Center for Physiology and Pharmacology, Department of Neurophysiology and Neuropharmacology (V.S.G., P.L., R.C., X.K., L.R., K.H., H.T.) and Center for Physiology and Pharmacology (W.S.), Medical University of Vienna, Vienna, Austria
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Xaver Koenig
Center for Physiology and Pharmacology, Department of Neurophysiology and Neuropharmacology (V.S.G., P.L., R.C., X.K., L.R., K.H., H.T.) and Center for Physiology and Pharmacology (W.S.), Medical University of Vienna, Vienna, Austria
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Lena Rubi
Center for Physiology and Pharmacology, Department of Neurophysiology and Neuropharmacology (V.S.G., P.L., R.C., X.K., L.R., K.H., H.T.) and Center for Physiology and Pharmacology (W.S.), Medical University of Vienna, Vienna, Austria
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Karlheinz Hilber
Center for Physiology and Pharmacology, Department of Neurophysiology and Neuropharmacology (V.S.G., P.L., R.C., X.K., L.R., K.H., H.T.) and Center for Physiology and Pharmacology (W.S.), Medical University of Vienna, Vienna, Austria
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Walter Sandtner
Center for Physiology and Pharmacology, Department of Neurophysiology and Neuropharmacology (V.S.G., P.L., R.C., X.K., L.R., K.H., H.T.) and Center for Physiology and Pharmacology (W.S.), Medical University of Vienna, Vienna, Austria
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Hannes Todt
Center for Physiology and Pharmacology, Department of Neurophysiology and Neuropharmacology (V.S.G., P.L., R.C., X.K., L.R., K.H., H.T.) and Center for Physiology and Pharmacology (W.S.), Medical University of Vienna, Vienna, Austria
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Abstract

The clinically important suppression of high-frequency discharges of excitable cells by local anesthetics (LA) is largely determined by drug-induced prolongation of the time course of repriming (recovery from inactivation) of voltage-gated Na+ channels. This prolongation may result from periodic drug-binding to a high-affinity binding site during the action potentials and subsequent slow dissociation from the site between action potentials (“dissociation hypothesis”). For many drugs it has been suggested that the fast inactivated state represents the high-affinity binding state. Alternatively, LAs may bind with high affinity to a native slow-inactivated state, thereby accelerating the development of this state during action potentials (“stabilization hypothesis”). In this case, slow recovery between action potentials occurs from enhanced native slow inactivation. To test these two hypotheses we produced serial cysteine mutations of domain IV segment 6 in rNav1.4 that resulted in constructs with varying propensities to enter fast- and slow-inactivated states. We tested the effect of the LA lidocaine on the time course of recovery from short and long depolarizing prepulses, which, under drug-free conditions, recruited mainly fast- and slow-inactivated states, respectively. Among the tested constructs the mutation-induced changes in native slow recovery induced by long depolarizations were not correlated with the respective lidocaine-induced slow recovery after short depolarizations. On the other hand, for long depolarizations the mutation-induced alterations in native slow recovery were significantly correlated with the kinetics of lidocaine-induced slow recovery. These results favor the “dissociation hypothesis” for short depolarizations but the “stabilization hypothesis” for long depolarizations.

Introduction

Blockers of voltage-gated Na+ channels are used as local anesthetics, antiarrhythmics, antiepileptics, analgesics, and in the treatment of specific skeletal muscle diseases. Potential “noncanonical” roles of Na+ channels in nonexcitable cells may open new drug targets for Na+ channel blockers, such as cancer treatment (Black and Waxman, 2013). Recently, there has been an increasing interest in developing blockers with high specificity for certain Na+ channel isoforms. For example, targeting the neuronal isoforms NaV1.7 and NaV1.8 may lead to the development of potent analgesic drugs with few side effects (Leffler et al., 2007; Dib-Hajj et al., 2009; Waxman, 2013; Lampert et al., 2014). Furthermore, targeting the late sodium current in the heart may be used in the treatment of arrhythmias, ischemic heart disease, and heart failure (Coppini et al., 2013; Antzelevitch et al., 2014). Functional specificity of Na+ channel blockers is thought to arise from their use-dependent effect, which is responsible for the suppression of high-frequency discharges in excitable cells, which underlies their analgesic, anticonvulsive, and antiarrhythmic efficacy (Macdonald and Kelly, 1993; Pisani et al., 1995; Weirich and Antoni, 1998; Dupere et al., 1999).

The use-dependent effect of Na+ channel blockers arises from high-affinity binding to specific states that are periodically populated during the firing of action potentials. Thus, local anesthetic drugs bind preferentially to activated (Hille, 1977; Yeh and Tanguy, 1985; Wang et al., 1987; McDonald et al., 1989; Vedantham and Cannon, 1999) and/or inactivated states (Hille, 1977; Cahalan, 1978; Yeh, 1978; Bean et al., 1983; Bennett et al., 1995; Balser et al., 1996a). As a result, the restoration of excitability between action potentials is prolonged. This latter effect can result from two processes: Drug-associated slowing of recovery of excitability could result from: 1) a slow rate of dissociation of the drug, which slows recovery from inactivation, (“dissociation-hypothesis”), or 2) an increased stability of an intrinsic, slow-inactivated state, on the basis of an increased rate of entry into the slow-inactivated state in the presence of drug (“stabilization hypothesis”; Fig. 1). These are two fundamentally different mechanisms that have qualitatively similar effects on excitability. With regard to the dissociation hypothesis, drugs are thought to bind with high affinity to a specific state-dependent conformation of the binding site (“modulated receptor theory”) (Hille, 1977; Hondeghem and Katzung, 1977) or drugs may be trapped by the channel gates during specific gating states (“guarded receptor theory”) (Starmer, 1986). The stabilization hypothesis suggests that drugs bind to native “slow” inactivated states that under drug-free condition require a long time to develop (Khodorov et al., 1976; Zilberter Yu et al., 1991; Balser et al., 1996b; Kambouris et al., 1998; Chen et al., 2000). However, drug-binding to a slow-inactivated state accelerates the time course of development of this state during a depolarization (“stabilization”), thereby increasing the fraction of channels recovering from that state during a subsequent hyperpolarization. The characterization of such multiple binding mechanisms is of utmost importance for drug development as all binding modes of a drug have to be considered in order to predict the overall biologic treatment response. Slow drug dissociation from fast-inactivated states and stabilization of slow-inactivated states need not be mutually exclusive, but both mechanisms may operate in concert, as noted by Nuss et al. (2000). This study was designed to systematically investigate drug-induced modification of the time course of recovery from both fast- and slow-inactivated states. Therefore, we applied the local anesthetic lidocaine to channels exhibiting varying properties of fast and slow inactivation. To this end we introduced serial cysteine replacements in the segment 6 (S6) of domain IV (DIV) of Nav1.4. This region of the channel has previously been shown to modulate both fast and slow inactivation (Chahine et al., 1994; McPhee et al., 1995, 1998; Chen et al., 1996; Lerche et al., 1997; Sheets et al., 1999; Vedantham and Cannon, 2000; Chanda and Bezanilla, 2002; Bosmans et al., 2008; Goldschen-Ohm et al., 2013) as well as the binding properties of local anesthetic drugs (Ragsdale et al., 1994, 1996; Yarov-Yarovoy et al., 2002). In addition, we investigated the effect of lidocaine on recovery from inactivation in the mutation W1531G. This mutation has been shown to generate a pathway for rapid external access and egress of the permanently charged derivative of lidocaine QX-222 (Lukacs et al., 2014). This mutation can be used to study the effects of untrapping of drugs bound to the internal vestibule. We found that most probably slow drug dissociation prolongs recovery from brief depolarizations, whereas drug-induced stabilization of slow-inactivated states prolongs recovery from long depolarizations. Furthermore, we found evidence for lidocaine binding to a state closely associated with the fast-inactivated state.

Fig. 1.
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Fig. 1.

Kinetic scheme of proposed state-dependent binding of lidocaine. A three-affinity modulated receptor model in which NI, IF, IM, and IS represent noninactivated states (i.e., pooled open and closed states), fast, intermediate, and slow-inactivated states, respectively. αF and αM are the voltage-dependent forward rates into IF and IM; βF and βM are the respective voltage-dependent backward rates (α′F, α′ M, β′ F, β′ M refer to the respective rates among lidocaine-bound states). NI-L, IF-L, and IM-L are the lidocaine-bound NI, IF, and IM states. kon-NI, kon-F and kon-M are the on-rates, koff-NI, koff-F, and koff-M the off-rates for lidocaine binding to NI, IF, and IM. During short depolarizations channels move from NI to IF, during repolarization the transit is from IF to NI (recovery from IF). During long depolarizations channels move from NI to IF and then further to IM. Since both αM and βM are smaller than αF and βF, both development of and recovery from IM require a longer time course than the respective transitions into and out of IF. The “dissociation hypothesis” assumes high affinity binding of lidocaine to IF such that during short depolarizations channels mainly enter the IF-L state. Upon repolarization channels recover slowly via the small koff-F rate (drug-dissociation), which determines slow dissociation from the high affinity state (IF-L) and via β′ F. The “stabilization hypothesis” assumes high affinity binding of lidocaine to IM (small value for koff-M). Thus, with lidocaine, even during short depolarizations, channels move from IF-L (low affinity) to IM-L (high affinity). This occurs because, owing to the high affinity of lidocaine to IM-L, the value for koff-M is small (relative to koff-F and koff-NI). Consequently, from detailed balances, α′M has to be large, resulting in an acceleration of development of IM-L. Hence, with the “stabilization hypothesis” recovery from short depolarizations is prolonged by lidocaine, because channels are moving slowly from IM-L to NI (Chen et al., 2000). The states IFM and IM-MUT are not considered in this scheme but would be located between IF and IM.

Materials and Methods

Mutagenesis and Electrophysiology

Mutagenesis and electrophysiology were performed as reported (Zarrabi et al., 2010; Lukacs et al., 2014).

Mutagenesis of rat muscle NaV1.4 (rNaV1.4-A) vector consisting of the rNaV1.4 coding sequence flanked by Xenopus globin 5′ and 3′ untranslated regions was provided as a gift by R. Moorman (University of Virginia, Charlottesville, VA). This was used as the template for inserting oligonucleotide-directed point mutations by either four-primer polymerase chain reaction and subsequent subcloning into the template using directional ligations or the QuikChange Site-Directed Mutagenesis Kit (Stratagene, La Jolla, CA). Oligonucleotide primers containing a mutation were designed with a change in a silent restriction site to allow rapid identification of the mutation. Incorporation of the mutation into the template was then confirmed by DNA sequencing.

Transfection Procedure

tsA201 cells were grown in Dulbecco’s modified Eagle’s medium supplemented with 10% fetal bovine serum and 20 IU/ml each of penicillin and streptomycin (Life Technologies, Carlsbad, CA). Cells were maintained at 37°C in a humid atmosphere containing 5% CO2. A mixture of plasmids coding 1.5 μg of rNaV1.4 α subunit, 0.2 μg of voltage-gated sodium channel (VGSC) β1 subunit, and 0.02 μg of eGFP were transiently transfected into tsA201 cells in 35-mm dish (Nunc, Roskilde, Denmark) using TurboFect Transfection Reagent (Thermo Fisher Scientific Baltics UAB, Vilnius, Lithuania) according to the manufacturer’s instructions. Sixteen hours later, cells were dissociated from the dish surface by treatment with a 0.25% trypsin solution (Life Technologies) for approximately 2 minutes, pelleted, resuspended in growth medium, and allowed to settle to the bottom of the recording chamber. Prior to recording, the growth medium was removed and changed to bath solution.

Whole-Cell Patch-Clamp Recording

Experiments were performed using the whole-cell patch-clamp recording technique. Na+ currents were recorded using an Axopatch 700B patch-clamp amplifier (Molecular Devices, Sunnyvale, CA). Pipettes were formed from aluminosilicate glass (AF150-100-10; Science Products, Hofheim, Germany) with a P-97 horizontal puller (Sutter Instruments, Novato, CA), and had resistances between 1.5 and 2.5 MΩ when filled with the intracellular pipette solution consisting of (mM): 105 CsF, 10 NaCl, 10 EGTA, and 10 HEPES. The pH was set to 7.3 with CsOH. The bath solution consisted of (mM): 140 NaCl, 2.5 KCl, 1 CaCl2, 1 MgCl2, and 10 HEPES. The pH was set to 7.4 with NaOH. Voltage-clamp protocols and data acquisition were performed with pCLAMP 10.2 software (Molecular Devices, Sunnyvale, CA) through a 16-bit A–D/D–A interface (Digidata 1440A; Molecular Devices). Data were low-pass filtered at 10 kHz (–3 dB) and digitized at 100 kHz. Lidocaine dissolved in the extracellular solution was applied via an OCTAFLOW drug application device (ALA Scientific Instruments Inc., Farmingdale, NY). Recording was begun about 5 minutes after whole-cell access was attained to minimize time-dependent shifts in gating.

Electrophysiologic Protocols

The holding potential was –140 mV. The time course of recovery from inactivation was assessed by application of a conditioning pulse followed by a 5-millisecond test pulse to –20 mV after a varying interval at the holding potential. Unless specified otherwise, the duration of the conditioning prepulse was 50 milliseconds and 10 seconds for the assessment of recovery from faster and slower inactivated states,. In most experiments the time course of recovery from prepulse potentials of both –50 mV and –20 mV was examined as an internal test for the accuracy of the estimation of the respective time constants, which should be independent of the prepulse potential. Lidocaine hydrochloride was obtained from Sigma-Aldrich. Unless stated otherwise lidocaine was applied at a concentration of 500 μM.

Data Evaluation.

Nonlinear least squares fit of the normalized time course of recovery was performed using following equations:Embedded Image(1)Embedded Image(2)Embedded Image(3)where τ1, τ2, and τ3 are the time constants of distinct components of recovery; A1, A2, and A3 are the respective amplitudes of these components; and C is the final level of recovery. The order (i.e., first order, eq. 1; second order, eq. 2) of exponential fit was chosen after an increase in the order of the fit produced no significantly better fit as reported by the “extra sum-of-squares F test”. Graphic representation and data analysis was performed using GraphPad Prism, version 5.00 for Windows (GraphPad Software, LaJolla, CA).

Statistics-data are expressed as means ± S.E.M. Statistical comparisons were made using the two-tailed Student’s t tests. P < 0.05 was considered significant.

Results

Protocol of Testing Time Course of Recovery from Inactivation.

To examine the time course of recovery in wild-type rNaV1.4 channels, a conditioning prepulse to –20 mV was introduced from a holding potential of –140 mV. Thereafter, the potential was returned to –140 mV for varying intervals followed by a 5-millisecond test pulse to –20 mV, which opened the fraction of channels that had recovered during the hyperpolarized interval after the conditioning prepulse. The inward currents elicited by the test pulse were normalized to the respective maximum value attained at full recovery and plotted as a function of the recovery interval. Figure 2 shows the original traces of test pulse currents obtained after the indicated intervals at –140 mV following a 10-second inactivating prepulse to –20 mV. Shown are currents from wild-type NaV1.4 channels and from channels carrying a mutation in the DIV-S6 segment at site 1585, which has been shown previously to destabilize slow inactivation (Hayward et al., 1997; Takahashi and Cannon, 2001). Clearly, the time course of recovery is substantially slower in wild-type Nav1.4 channels than in the mutation M1585C.

Fig. 2.
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Fig. 2.

Original traces showing recovery from inactivation in wild-type Nav1.4 channels and in the mutation M1585C. As shown in the inset, cells were first depolarized to –20 mV for 10 seconds to induce inactivation (conditioning prepulse). Then cells were repolarized to –140 mV for variable durations. Thereafter a 5-millisecond test pulse to –20 mV was introduced to test for the fraction of available channels. Test-pulse currents are superimposed for the indicated repolarization times after the conditioning prepulse. The time course of recovery is substantially faster in M1585C than in wild-type Nav1.4 channels.

Long Prepulse Durations Induce up to Three Inactivated States.

The normalized time courses of recovery of wild-type NaV1.4 channels following conditioning prepulses of varying durations to –20 mV are shown in Fig. 3; the estimated fitting parameters are presented in Table 1. The time course of recovery following a 10-millisecond prepulse could be fitted by a single exponential equation (eq. 1) with a time constant of 0.57 ± 0.03 milliseconds, indicating that all inactivated channels are recovering from a single inactivated state that we refer to as fast-inactivation (IF; Balser et al., 1996b; Kambouris et al., 1998), defined by time constants of recovery on the order of several milliseconds. If the duration of the conditioning prepulse was prolonged to 50 milliseconds, the time course of recovery could be fitted by the double exponential eq. 2, yielding time constants of 0.71 ± 0.03 milliseconds and 100 milliseconds and amplitudes of 0.72 ± 0.01 and 0.05 ± 0.007, respectively. This indicates that this conditioning prepulse recruited a minimum of two inactivated states. The faster phase of recovery most probably corresponds to recovery from IF as observed following a 10-millisecond prepulse. Because of the low amplitude of the slower phase the time constant was constrained to 100 milliseconds. We operationally refer to this phase as recovery from intermediate fast inactivation (IFM). Increasing the prepulse duration to 5 seconds gave rise to a time course of recovery that could be fitted by three exponentials (eq. 3) (Cummins and Sigworth, 1996; Nuss et al., 1996; Hayward et al., 1997; Kambouris et al., 1998). The time constants of the three phases were 0.71 milliseconds, 76.53 ± 9.63 milliseconds, and 1755 milliseconds, the respective amplitudes were 0.12 ± 0.04, 0.75 ± 0.03, 0.11 ± 0.03. Most probably the first phase corresponds to recovery from IF (Kambouris et al., 1998), although we cannot exclude a contribution by recovery from IFM. The second phase may reflect recovery from a state previously termed “intermediate inactivation” (IM), characterized by time constants on the order of several hundred milliseconds (Kambouris et al., 1998). The third phase is characterized by time constants on the order of seconds and has been referred to as slow inactivation (IS) (Kambouris et al., 1998). Increasing the prepulse duration to 20 seconds increased the fraction of channels recovering from IM and IS, as indicated by the effect on the amplitudes A2 and A3.

Fig. 3.
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Fig. 3.

Time course of recovery from inactivation produced by conditioning prepulses of varying durations in wild-type Nav1.4. Shown are test pulse currents recorded with electrophysiologic protocols similar to the protocol shown in Fig. 2. Channels were driven into inactivation by conditioning prepulses to –20 mV for the indicated durations. Test-pulse currents were normalized to the respective maximum value attained at full recovery and plotted as a function of the recovery interval. The time courses of recovery were assessed for rNav1.4 channels under drug-free conditions (A) and during superfusion with 500 µM lidocaine (B, solid symbols). For analysis the data points were fit with exponential functions (eqs.1–3; connecting lines). In (B) some fitted lines are reproduced from (A) for comparison. See Table 1 for the parameter estimates. Prolonging the duration of the conditioning prepulse induces a slow phase of recovery. This effect is enhanced by lidocaine.

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TABLE 1

Biophysical parameters for wild type recovery from fast and slow inactivation

Results of fitting of eqs. 1, 2, and 3 to the data in Fig. 3. Parameters presented without S.E.M. were fixed during the curve fitting procedure. Statistical comparisons of the control values are versus 10 ms with 50-ms prepulse duration and versus 5 s. with 10-s and 20-s prepulse durations. Prepulse voltage was –20 mV. Values during lidocaine exposure are compared with the same protocol under control conditions. As a result of the negative recovery potential of –140 mV the first phase of recovery was extremely fast. Hence, with short depolarizations, a fraction of channels recovered prior to the first test pulse, resulting in total amplitudes <1.

Effect of Lidocaine on Time Course of Recovery in Wild-Type Nav1.4 Channels.

During superfusion with 500 μM lidocaine the time course of recovery from a 50-millisecond prepulse (further on referred to as “short depolarization”) had two exponential phases with time constants of 2.34 ± 0.36 milliseconds and 176.8 ± 10.6 milliseconds and amplitudes of 0.30 ± 0.01 and 0.69 ± 0.01, respectively (Fig. 3B). Thus, lidocaine substantially increased the time constant of the first rapid phase of recovery and the amplitude of the second phase, whose time constant is similar to recovery from the native IM state (Table 1). This could indicate that lidocaine accelerates the entry into the IM state (Kambouris et al., 1998). Alternatively, lidocaine could bind only to the IF state during the conditioning prepulses, but, upon repolarization, dissociate from this state with a time constant similar to the time constant of recovery from the native IM state (Fig. 1). With longer prepulse durations (10 seconds) lidocaine increased both the time constant and the amplitude of recovery from IM.

Mutations in DIV-S6 Modulate Fast Inactivation.

As reported previously, all tested mutations of the DIV-S6 segment gave rise to robust inward currents with the exception of N1584C (Sunami et al., 2004). The time course of recovery from fast inactivation was examined by a prepulse-test pulse protocol as described before, whereby the duration of the prepulse was set to 50 milliseconds, which has previously been shown to be sufficient to cause NaV1.4 channels to populate mainly fast-inactivated states (Wang et al., 2003). Figure 4, A and B, show the time courses of recovery of the tested constructs for conditioning pulse voltages of –20 mV and –50 mV, respectively. Clearly, mutations in DIV-S6 produced alterations in the time course of recovery. In some mutations the time course of recovery was monoexponential, whereas in others a second phase of low amplitude was observed (inset of Fig. 4, A and B). For example in the mutation F1579C this second slow phase had amplitude of 0.04 ± 0.007. In Figs. 5 and 6 the time constants and amplitudes of the time course of recovery are presented. The time constants of recovery from IF (τ1) were substantially modulated by the mutations. Thus, in wild-type τ1 was 0.71 ± 0.03 milliseconds, in F1579C τ1 was decreased to 0.38 ± 0.02 milliseconds (P < 0.001), and in M1585C τ1 was increased to 1.31 ± 0.04 milliseconds (P < 0.001).

Fig. 4.
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Fig. 4.

Serial cysteine replacements of the DIV-S6 segment modulate the time course of recovery from a short depolarization and the effect of lidocaine. Normalized time course of recovery from inactivation produced by a short prepulse (50-millisecond) in wild-type Nav1.4 and in mutations carrying cysteine replacements of amino acids in DIV-S6 under drug-free conditions (A, B; n = 4–7) and during superfusion with 500 μM lidocaine (C, D; n = 4–8). The voltage of the conditioning prepulse was either –50 mV (A, C) or –20 mV (B, D). The insets in (A) and (B) reproduce only the late slow phase of recovery. Connecting lines are fits of eq. 2 to the data points. Because of the low amplitude of the late phase of recovery, the time constant was constrained to 100 milliseconds and only the amplitude was allowed to float during the fitting procedure. The results of the fits are shown in Figs. 5–7. Arrows in (C, D) indicate the transition between the fast and the slow phase of recovery, which is lacking in the mutations I1576C and M1585C.

Fig. 5.
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Fig. 5.

Modulation of the time constant of the first phase of recovery from a short depolarization (50-millisecond) by mutations in DIV-S6 and by lidocaine. Shown are the time constants of the first rapid phase of recovery as derived from fitting of eq. 2 to the data of Fig. 4. *P < 0.05; **P < 0.01; ***P < 0.001 compared with the respective value for wild-type channels. ≠P < 0.05; ≠≠P < 0.01; ≠≠≠P < 0.001 for the effect of lidocaine compared with drug-free condition in a given construct. In most constructs lidocaine increased the time constants of this phase of recovery.

Fig. 6.
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Fig. 6.

Modulation of amplitudes of two phases of recovery from a short depolarization (50-millisecond) by mutations in DIV-S6 and by lidocaine. Shown are the amplitudes of the two phases of recovery as derived from fitting eq. 2 to the data of Fig. 4. The voltage of the conditioning prepulse was either –50 mV (A, C) or –20 mV (B, D) In most constructs lidocaine increased the amplitude of the second phase of recovery (A2). *P < 0.05; **P < 0.01; ***P < 0.001 compared with the respective value for wild-type channels. ≠P < 0.05; ≠≠P < 0.01; ≠≠≠P < 0.001 for the effect of lidocaine compared with drug-free condition in a given construct.

In general, with conditioning voltages of –20 mV τ1 values were significantly different compared with wild type for all constructs, with the exception of S1578C and V1582C (Fig. 5). With conditioning voltages of –50 mV the observed changes were similar to those observed with –20 mV, with the exception of higher amplitude of noninactivating currents. As shown in Fig. 6 the amplitudes of the first phase of recovery were substantially modified by mutations in DIV-S6. This most probably reflects mutation-induced shifts of the half-point of steady state inactivation, which is highly modulated by mutations in DIV-S6 (Yarov-Yarovoy et al., 2002; Wang et al., 2003).

Effect of Lidocaine on Recovery from Short Depolarizations.

Superfusion with 500 μM lidocaine resulted in significant increases in the time constant of recovery from IF (τ1) in all constructs with the exception of F1579C and Y1586C (Fig. 5). The prolongation of τ1 was greatest in the mutations I1576C and M1585C (see below for detailed analysis).

The most dramatic effect of lidocaine was to increase the amplitude of the second phase of recovery (A2) in all constructs with the exception of F1579C. This increase in A2 occurred at the expense of decrease in A1 (Fig. 6) or by a decrease in the amplitude of the noninactivating fraction (Fig. 4). The time constant of this late phase (τ2, Fig. 7) showed some variation between constructs but, in general, was on the order of 100–200 milliseconds, as reported previously (Vedantham and Cannon, 1999; Kondratiev and Tomaselli, 2003).

Fig. 7.
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Fig. 7.

Time constants of the lidocaine-induced slow phase of recovery from a short depolarization (50-millisecond) are modulated by mutations in the DIV-S6 segment. Shown are the time constants of the second phase of recovery as derived from fitting of eq. 2 to the time courses of recovery of lidocaine-modified channels in Fig. 4 C, D. *P < 0.05; **P < 0.01; ***P < 0.001 compared with the respective value for wild type

Mutations in DIV-S6 Modulate Slower Forms of Inactivation.

In some mutations the time course of recovery from inactivation induced by 10-second depolarizing prepulses (further on referred to as “long depolarization”) was substantially altered (Fig. 8). Figure 9 shows the effect of serial S6 mutagenesis on the time constants of recovery from IM. Clearly, most cysteine replacements of DIV-S6 residues modulated the time constant of recovery from IM, with the greatest reduction produced by M1585C and the greatest increase generated by Y1586C.

Fig. 8.
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Fig. 8.

Serial cysteine replacements of the DIV-S6 segment modulate the time course of recovery from a long depolarization (10-second) and the effect of lidocaine. Normalized time course of recovery from inactivation produced by long prepulses (10-second) in wild-type Nav1.4 and in mutations carrying cysteine replacements of amino acids in DIV-S6 under drug-free conditions (A, B; n = 4–7) and during superfusion with 500 μM lidocaine (C, D; n = 4–7). The voltage of the conditioning prepulse was either –50 mV (A, C) or –20 mV (B, D). Connecting lines are fits of eq. 3 to the data points (for each construct the time constant of the first phase of recovery, most probably representing recovery from residual IF, was constrained to the respective time constant of the fast phase of recovery shown in Fig. 5. The results of the fits are shown in Figs. 9 and 11. Arrows indicate a very slow phase of recovery (IS) that is substantially reduced by lidocaine.

Fig. 9.
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Fig. 9.

Lidocaine tends to increase the time constant τ2 for the intermediate phase of recovery, whereas several of the mutations decrease τ2 with respect to the wild-type construct under the same conditions. The time constants of recovery from intermediate inactivation (IM) were derived by fitting of eq. 3 to the time courses of recovery shown in Fig. 8. P < 0.05; **P < 0.01; ***P < 0.001 compared with the respective value for wild-type channels (n = 5–8). ≠P < 0.05; ≠≠P < 0.01; ≠≠≠P < 0.001 for the effect of lidocaine compared with drug-free condition in a given construct. Prepulse voltage was −20 mV (A) and −50 mV (B).

According to the classic Hodgkin-Huxley paradigm, changing the voltage of the prepulse should alter the time constant of entry into inactivation and, thus, the distribution of channels among different channel states at the end of the prepulse, but not the time constants of recovery from these states [e.g., see Takahashi and Cannon (1999)]. If the serial cysteine replacements in DIV-S6 per se altered the time course of recovery from IM, then we would expect a strong correlation between the τ2 values measured at inactivating voltages of –50 mV and –20 mV. As shown in Fig. 10 there is indeed a strong positive correlation between the time constants measured at these two voltages. This supports the conclusion that the differences in τ2 values are the result of the mutation itself rather than a result of protocol-dependent variabilities. These data also demonstrate that the introduced mutations produce variations of time constants of recovery from IM that are sufficiently large to give rise to a significant correlation (see Fig. 12)

Fig. 10.
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Fig. 10.

The time constants of recovery from intermediate inactivation produced by inactivating prepulses to –20 mV and to –50 mV are correlated with each other. Data points are τ2 values of control measurements replotted from Fig. 9. The line is the best-fit linear regression of the form y = 0.89x + 3.72 (r2 = 0.63, P = 0.006). Hence, the time constants of recovery are independent from prepulse potential as predicted by the classic Hodgkin-Huxley paradigm.

Effect of Lidocaine on Time Constants of Recovery from IM.

As shown in Fig. 9 lidocaine tended to increase the time constants of recovery from IM in most constructs with the exception of I1575C, F1579C, and Y1586C, which have previously been shown to per se reduce binding of local anesthetics (Ragsdale et al., 1994).

Lidocaine Reduces Amplitude of Recovery from IS during Long Depolarizations.

As shown in Fig. 3, recovery from long depolarizations occurred mostly from the IM state. There is also a small component of even slower recovery, with time constants on the order of several seconds, which most probably results from recovery from a very slow-inactivated state, IS (Kambouris et al., 1998). The values of the time constants of this phase are not reported, because the small amplitude of this phase precluded their precise estimation. As shown in Fig. 11, lidocaine tended to increase the amplitude of recovery from IM (A2), mainly at the expense of a reduction in the amplitude of recovery from IS (A3, arrows in Fig. 8) and the noninactivating component. This could result from the binding of lidocaine to and stabilization of IM, thereby enhancing the rate of entry into IM (α′ M in Fig. 1) and reducing the rate of entry into IS during the conditioning pulse (via small koff-M, Fig. 1). Alternatively, lidocaine could bind to IF, thereby reducing the time constant of entry into IM and IS (via a small koff-F; Fig. 1). Upon repolarization lidocaine would dissociate from IF with a time constant similar to recovery from the native IM.

Fig. 11.
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Fig. 11.

Modulation of amplitudes of two late phases of recovery from a long depolarization (10-second) by mutations in DIV-S6 and by lidocaine. Shown are the amplitudes of the two late phases of recovery, representing recovery from IM and IS. The values were calculated by fitting eq. 3 to each of the time courses of recovery presented in Fig. 8. The voltage of the conditioning prepulse was either –50 mV (A, C) or –20 mV (B, D). *P < 0.05; **P < 0.01; ***P < 0.001 (n = 4–10) compared with the respective value for wild-type channels (n = 5–8). ≠P < 0.05; ≠≠P < 0.01; ≠≠≠P < 0.001 (n = 5–7) for the effect of lidocaine compared with drug-free condition in a given construct.

Lidocaine-Induced Slow Recovery following Short Depolarizations Does Not Reflect Recovery from Endogenous IM.

As mentioned above, the most dramatic effect of lidocaine when tested with short depolarizations was to increase the amplitude of a slower phase of recovery (Fig. 7) with a time constant similar to that of recovery from the native IM (Fig. 9). As shown in Fig. 9 the cysteine replacements of amino acids in DIV-S6 produced alterations in the time course of recovery from IM. If the lidocaine-induced slower phase of recovery from short depolarizations represented recovery from lidocaine-induced IM (i.e., IM-L in Fig. 1) rather than slow dissociation from IF (IF-L in Fig. 1), then we would expect a strong correlation between the time constant of this lidocaine-induced IM state and the mutation-specific value of recovery from the native IM. As shown in Fig. 12 the kinetics of the lidocaine-induced slower phase of recovery from short depolarizations did not correlate with the kinetics of either the native IM state (Fig. 12A) or the lidocaine-modified IM state (Fig. 12B). This suggests that the lidocaine-induced slow recovery from short depolarizations (Fig. 7) occurs by a mechanism different from recovery from IM, perhaps by slow dissociation of lidocaine from IF (koff-F in Fig. 1).

Fig. 12.
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Fig. 12.

Lidocaine modifications of recovery from short and from long depolarizations are distinct processes. Correlation analysis is performed to explore the effects of lidocaine on the time constants of recovery. The mutations I1575C, F1579C, and Y1586C are excluded from this analysis because these mutations abolished the effect of lidocaine on the time constants of recovery from long depolarizations at –20 mV, consistent with earlier reports implicating these sites in lidocaine binding (Fig. 9) (Ragsdale et al., 1994). M1585C is also excluded because of mutation-induced complete destabilization of IM. (A) The time constant of the second phase of recovery from inactivation produced by 50-millisecond prepulses to –20 mV during lidocaine exposure (Fig. 7A) is plotted as a function of the time constant of the second phase of recovery from 10-second prepulses to –20 mV under drug-free conditions (open bars in Fig. 9A). The line is the best-fit linear regression of the form y = 0.13x + 160.3 (R2 = 0.04, P = 0.63). (B) The time constant of the second phase of recovery from inactivation produced by 50-millisecond prepulses to –20 mV during lidocaine exposure (Fig. 7A) is plotted as a function of the time constant of the second phase of recovery from 10-second prepulses to –20 mV during lidocaine exposure (solid bars in Fig. 9A). The line is the best-fit linear regression of the form y = 0.27x + 125.9 (R2 = 0.07, P = 0.48). In parts (A) and (B), the absence of significant correlations suggests that lidocaine-induced modifications of recovery from short and long repolarizations are mechanistically, as well as kinetically, distinct processes. (C) The time constant of the second phase of recovery from inactivation produced by 10-second prepulses to –20 mV during lidocaine exposure (Fig. 9A, solid bars) is plotted as a function of the time constant of the second phase of recovery from 10-second prepulses to –20 mV during drug-free conditions (Fig. 9A, open bars). The line is the best-fit linear regression of the form y = 0.54x + 113.7 (R2 = 0.61, P = 0.02). This analysis suggests the presence of a link between the mechanism of generation of IM and the lidocaine-induced modification of the second phase of recovery from long depolarizations. (D) Lidocaine-induced changes in the time constant of the first rapid phase of recovery from short depolarizations (i.e., the difference among the values denoted by the solid and open bars in Fig. 5A) are plotted as a function of the amplitude of the second phase of recovery from short depolarizations (inset of Fig. 4B). The line is the best-fit linear regression of the form y = 29.60x – 0.022 (R2 = 0.81, P = 0.0022). Constructs with red labels were excluded from the analysis. This analysis suggests that the lidocaine-induced increase in the time constant of the first phase of recovery from short depolarizations results from a modification of the second slow phase of recovery observed under drug-free conditions (inset of Fig. 4 B, i.e., recovery from IFM).

Lidocaine-Induced Slow Recovery following Long Depolarizations Reflects Recovery from Endogenous IM.

Conversely, one could ask whether the modulation of the slow phase of recovery by lidocaine with long depolarizations (Fig. 9) represents slow dissociation from fast inactivation rather than recovery from the stabilized native IM state. In the latter case we would expect a correlation within the tested constructs between the time constant of recovery from IM under control conditions and the time constant of recovery during lidocaine exposure. As shown in Fig. 12C this is indeed the case. Hence, lidocaine-induced slowing of recovery from fast inactivation appears to be mechanistically distinct from lidocaine modification of slow recovery (IM).

The Mutations M1585C and I1576C Induce a Modified IM State.

Mutations at site 1585 destabilize slow inactivation (Hayward et al., 1997). Indeed, the time constant of recovery from IM was substantially shorter in M1585C compared with wild-type channels (32.78 ± 4.27 milliseconds versus 98.39 ± 6.45 milliseconds, respectively P < 0.0001; Fig. 9, Table 2). We wondered whether this modified IM state, which we refer to as modified intermediate inactivation (IM-MUT), represented an additional new IM state, or a modification of the native IM. Therefore, we explored whether prolongation of the conditioning prepulse could drive M1585C channels into the native IM. As shown in Fig. 13A prolonging the duration of the conditioning prepulse from 10 to 30 seconds resulted in a substantial additional slowing of the time course of recovery of M1585C channels, reflected by an increase of the dominant time constant (τ2) to a value similar to the time constant of recovery from IM in wild-type channels (73.61 ± 14.11 milliseconds; Table 1). This suggests that prolonging the duration of the prepulse caused M1585C channels to move from IM-MUT to IM. Exposure of M1585C channels to lidocaine had an effect similar to prolongation of the prepulse duration, suggesting that lidocaine accelerated the transition of IM-MUT to IM during the conditioning prepulse (Fig. 13A, Table 2).

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TABLE 2

Biophysical parameters for M1585C and I1576C recovery from fast and slow inactivation

Results of fitting of eqs. 1, 2, and 3 to the data presented in Fig. 13. Parameters presented without S.E.M. were fixed during the curve-fitting procedure. Values during lidocaine exposure are compared to the same protocol under control conditions.

Fig. 13.
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Fig. 13.

The time course of recovery in I1576C and M1585C. (A) Time course of recovery from prepulses of the indicated durations in wild-type and M1585C channels. Lines are the result of fits of eq. 3 to the data points. The fitting parameters are presented in Table 2. The time constant of recovery of the dominating phase (τ2) is significantly shorter than in wild-type channels. Increasing the prepulse duration to 30 seconds increases τ2 to a value similar to wild-type channels following 10-second depolarization. A similar effect is produced by exposure to lidocaine (500 μM). Hence the native IM state is not abolished in this construct but rather supplemented by the mutation-induced IM-MUT state. (B) Effect of lidocaine on time course of recovery from conditioning prepulses of the indicated duration in M1585C. The broken and solid lines are fits of eqs. 2 and 3 to the data points, respectively. Recovery from a 10-millisecond depolarization in lidocaine-modified channels occurs by two clearly separated (arrow) phases (solid triangles). However, the separation between these two phases is lost if channels are depolarized for 50 milliseconds (filled circles). These data points were fit with both eqs. 2 and 3. (dotted and solid lines, respectively) and demonstrate a better fit with eq. 3, suggesting the emergence of a third inactivated state with this protocol. This state has a similar time constant of recovery as IM-MUT under drug-free conditions (Table 2; τ2 M1585C control, 10 seconds versus M1585C lidocaine 50-milliseconds). Hence, with 50-millisecond prepulse lidocaine may bind to and stabilize IM-MUT, resulting in the loss of separation between the fast and the slower phase of recovery. (C, D) Time course of recovery of the indicated constructs from 50-millisecond depolarizations to the indicated potentials during lidocaine exposure. As in (B) the broken and solid lines are fits of eqs. 2 and 3 to the data points, respectively. The fitted lines for drug-free recoveries are reproduced from Fig. 4, A, B. The arrows indicate the transition between the fast and the slow phases of recovery in wild-type channels, which is not present in M1585C and I1576C. The parameters of the fits are presented in Table 2. The data suggest that lidocaine may stabilize IM-MUT both in M1585C and in I1576C.

Figure 13B shows the response of lidocaine-modified M1585C to conditioning prepulses of the following durations: 10 milliseconds, 50 milliseconds, and 10 seconds. With lidocaine, recovery from inactivation after a 10-millisecond prepulse (–20 mV) occurred by two distinct phases (filled triangles in Fig. 13B, Table 1). However, when the prepulse duration was extended to 50 milliseconds, the clear separation of these two phases was lost (filled circles in Fig. 13B). We suspected that this was the result of the emergence of a third phase of recovery that “bridged” the fast and slow phases observed with the 10-millisecond prepulse. This third phase had a time constant 22.9 ± 8.18 milliseconds, i.e., a value similar to the time constant of recovery from the native IM-MUT state (see Table 2, τ2 M1585C control, 10-second versus M1585C lidocaine 50 milliseconds). A similar trend toward the lidocaine-induced emergence of a third phase of recovery with short depolarizations was observed in the mutation I1576C (Fig. 13, C and D, arrow). Interestingly, as with M1585C, this mutation also shortened the time constant of recovery from IM with long depolarizations under drug-free conditions (Fig. 9). These results suggest that with I1576C and M1585C lidocaine appears to stabilize IM-MUT during 50-millisecond depolarizing pulses.

The assumption of an increased entry into IM-MUT upon lidocaine exposure also explains the substantial drug-induced increase in τ1 with I1576C and M1585C shown in Fig. 5. Most probably, with these constructs, τ1 reports a mixture of time constants of recovery from fast inactivation and from IM-MUT. Hence, the enhanced recovery from IM-MUT during lidocaine exposure may artifactually produce a substantial increase in τ1. Can a similar mechanism be responsible for the lidocaine-induced increase in the time constant of the first phase of recovery in other constructs (Fig. 5)? Indeed, as shown in the insets to Fig. 3, A and B, in a number of constructs the fast phase of recovery from short depolarizations was followed by a slower phase of low amplitude, which we operationally refer to as recovery from IFM to indicate its kinetic similarity to both IF and IM. (Although IFM may be kinetically indistinguishable from IM-MUT, only the latter state was observed with long prepulses in mutations I1576C and M1585C.) If the lidocaine-induced increase in the time constant of fast phase was a result of enhanced recovery from IFM, then we would expect a correlation between the amplitudes of IFM under drug-free conditions (Fig. 12D, A2-drug-free) and the time constant of the first phase during lidocaine exposure (Fig. 12D, τ1-Lido). Figure 12D shows that, in most constructs, there is a significant positive correlation between A2-drug-free and τ1-lidocaine. Outliers from this trend are I1576C and M1585C, which have strongly altered kinetics, and F1579C and Y1586C, in which lidocaine binding is defective (Ragsdale et al., 1994). Hence, these data support the idea that the lidocaine-induced increase in τ1 (Fig. 5) is a result of binding to IFM, i.e., a native state with recovery kinetics slightly slower than IF. Thus, IFM may be a state similar to IM-MUT in M1585C and I1576C.

The Mutation W1531G Accelerates Recovery from Lidocaine Block.

As mentioned above, the lidocaine-induced delay in recovery can arise from drug-dissociation or from drug-induced stabilization of native slow recovery. These two processes are difficult to distinguish because, with lidocaine treatment, the drug-induced slow phase of recovery from short depolarizations (Fig. 7) has a time constant similar to that for recovery from unmodified IM (Fig. 9). Such separation would be possible if a mutation would either accelerate recovery from lidocaine-modified IF or substantially slow recovery from native IM. We recently reported that mutation of a tryptophan in the outer vestibule of DIV produced a rapid access and egress pathway for external QX-222, a membrane impermeant derivative of lidocaine (Lukacs et al., 2014). As shown in Fig. 14 this mutation, W1531G, substantially shortened the time constant of recovery from lidocaine-modified IF. This phase most probably reflects rapid egress of lidocaine from its binding site. However, with W1531G, lidocaine modified the time course of recovery from 10-second prepulses in a way similar to wild-type Nav1.4 channels, i.e., lidocaine substantially reduced the amplitude of recovery from IS (A3 in Fig. 14) consistent with binding to and stabilizing IM. These data support the notion that delayed recovery from inactivation produced by short depolarizations represents dissociation from IF, whereas prolonged recovery from inactivation produced by long depolarizations reflects recovery from drug-modified IM.

Fig. 14.
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Fig. 14.

Modification of the time course of recovery in W1531G. The mutation W1531G creates a pathway for rapid external drug access and egress (Lukacs et al., 2014), thereby allowing for assessment of gating-independent drug dissociation. Here, we make use of this mutation to examine the contribution of drug-dissociation to the drug-induced prolongation of channel repriming. Shown here are the time courses of recovery from prepulse durations of the indicated durations (prepulse voltage = –20 mV). Open and filled symbols denote data recorded under drug-free conditions and during application of 1 mM lidocaine, respectively. Connecting broken lines are fits of eqs. 2 and 3 to the data points of recovery from 50-millisecond and 10-second prepulses to –20 mV, respectively. Compared with wild-type, recovery from 50-millisecond pulses in lidocaine-exposed channels is substantially accelerated in W1531G. However, the time courses for lidocaine-modified recovery from 10-second depolarizations are similar for the two different constructs. For comparison, fitted lines to the indicated wild-type data are reproduced from Fig. 3. The parameters of the fits are:

50 milliseconds (control, n = 9), τ1 = 1.42 ± 0.12 milliseconds, τ2 = 40.42 ± 22.91 milliseconds, A1 = 0.99 ± 0.03, A2 = 0.10 ± 0.002;

50 milliseconds (lidocaine, 500 μM, n = 5) τ1 = 2.13 ± 0.55 milliseconds, τ2 = 31.87 ± 5.91 milliseconds, A1 = 0.49 ± 0.05, A2 = 0.52 ± 0.06;

10 seconds (control, n = 4), τ1 1 = 1.42 ± 0.12 milliseconds, τ2 = 166.5 ± 14.59 milliseconds, τ3 = 1801 ± 255.3 milliseconds, A1 = 0.01 ± 0.01, A2 = 0.61 ± 0.03, A3 = 0.37 ± 0.03;

10 seconds (lidocaine, 1 mM, n = 3), τ1 1 = 2.13 ± 0.55 milliseconds, τ2 2 = 140.2 ± 11.02 milliseconds, τ3 3 = 1801 ± 255.3 milliseconds, A1 = 0.01 ± 0.01, A2 = 0.83 ± 0.02, A3 = 0.15 ± 0.02.

Discussion

Electrophysiological Assessment of Inactivation.

In the present study we examined the effect of lidocaine on the time course of recovery from inactivation from both short and long depolarization. Such protocols allow for judgment of the limiting number of inactivated states populated during a given conditioning prepulse but provide only limited information on the voltage dependency of inactivation. We did not apply classic availability protocols for different inactivated states because of the difficulty in adjusting these protocols to the complex mutation-induced alterations in the time course of recovery (Karoly et al., 2010).

Mutation-Induced Changes in Recovery from Inactivation.

To the best of our knowledge this study is the first one to report the effect of serial cysteine replacements in DIV-S6 on the time course of recovery from fast- and slow-inactivated states. For recovery from 50-millisecond prepulses, both the time constants and the amplitudes of the dominating phase varied substantially between constructs (Figs. 5 and 6). For recovery from long depolarizations the greatest changes were generated by M1585C, which substantially accelerated recovery, and by Y1586C, which caused a delay in recovery (Fig. 8). These changes with mutations at sites 1585 and 1586 have been reported previously (Ragsdale et al., 1994; Hayward et al., 1997; Bai et al., 2003). In general these results confirm previous reports implementing the DIV-S6 segment as an important player in the control of inactivation.

Effect of Lidocaine on Recovery from Inactivation.

In most constructs we observed five major effects of lidocaine:

  1. An increase in the time constant of the first phase of recovery from short depolarizations (Figs. 4, 5, 13).

  2. The emergence of a second, slow phase of recovery from short depolarizations (Figs. 4, 6, 7, 11, 13, 14).

  3. An increase in the time constant of recovery from IM following long depolarizations (Fig. 9).

  4. An increase in the amplitude of recovery from IM following long depolarizations (Fig. 11).

  5. A decrease in the amplitude of recovery from IS following long depolarizations (Fig. 11).

Recovery from short depolarizations in lidocaine-exposed channels occurs by two phases, a fast phase commonly interpreted as recovery of drug-unbound channels (Ragsdale et al., 1994) and an additional slow phase representing recovery of drug-bound channels (Vedantham and Cannon, 1999). We find that the first rapid phase is also substantially slowed by lidocaine in most tested constructs (Fig. 5), as has been reported previously by numerous studies but not systematically investigated. Crumb and Clarkson (1990) suggested that this effect is caused by open-channel unblock during the test pulse. The most dramatic slowing of this first phase was observed in I1576C and M1585C.

Notably, for both mutations, the intermediate time constant of recovery was also substantially shortened (Fig. 9). This probably indicates destabilization of IM by the mutations [IM-MUT; Hayward et al. (1997)]. As shown in Fig. 13B lidocaine-modified M1585C channels recovered from a 10-millisecond depolarizing prepulse with two distinct phases, as observed in most other constructs. However, if the prepulse duration was increased to 50 milliseconds, a third phase of recovery appeared to emerge. This phase had a time constant of 22.9 ± 8.18 milliseconds and thus “bridged” the two distinct phases of recovery observed with a 10-millisecond depolarizing prepulse (Fig. 13, B–D). This effect may have generated artifactually a dramatic increase in the time constant of the first phase if this phase was fitted with a single exponential equation, as performed in Fig. 5. A similar phenomenon occurred with I1576C (Fig. 13, C and D). Thus, it appears that in these constructs, with short depolarizations, lidocaine stabilizes IM-MUT (Fig. 9). A similar mechanism may account for the lidocaine-induced increase in the time constant of the fast phase of recovery from short depolarizations, as observed in most constructs (Fig. 5). As shown in Fig. 12D this increase significantly correlates with the mutation-induced changes in the amplitude of IFM, i.e., the slow phase of recovery from short depolarizations under drug-free conditions (insets of Fig. 4, A and B). Hence, lidocaine may bind to IFM, which is populated during short depolarizations and recovers with a time course slightly slower than that for IF. Further studies will be needed to elucidate whether IFM is identical to IM-MUT, which was observed in the mutations I1576C and M1585C.

The most dramatic effect of lidocaine on recovery from short depolarizations was the emergence of a slower phase of recovery with a time constant of ∼170 milliseconds. This time constant was similar to the time constant of recovery from IM observed with long depolarizations (Fig. 9). Hence, according to the “stabilization hypothesis,” during short depolarizations lidocaine may accelerate entry into the native IM state. Alternatively, according to the “dissociation hypothesis,” lidocaine may bind to IF during the short depolarization and, upon repolarization, dissociate with a time constant that, by coincidence, has a value similar to the time constant of recovery from native IM. As shown in Fig. 9 the time constants of recovery from IF were substantially modulated by serial cysteine mutagenesis of DIV-S6 residues. Figure 10 demonstrates that the mutation-induced alterations of the time constants of recovery from IF are independent of the prepulse voltage, as would be expected from a Markovian kinetic scheme, and that the changes are sufficiently large to be explored by linear correlation analysis. Figure 12, A and B, demonstrates that there is no correlation between the mutation-induced alterations of the time constant of recovery from IM (unmodified and drug-modified) and the time constant of the lidocaine-induced slow phase of recovery from short depolarization. Hence, this latter phase of recovery appears to be mechanistically different from recovery from IM and probably does not result from drug-induced acceleration of entry into IM (α′M in Fig. 1). Most probably this phase represents drug dissociation from the IF state (koff-F in Fig. 1), as proposed previously (Hille, 1977; Ragsdale et al., 1994). This notion is supported by the effects of lidocaine on the mutation W1531G (Fig. 14). W1531G is located in the P-loop of DIV and is part of a highly conserved “ring of tryptophanes” forming a portion of the outer vestibule (Lipkind and Fozzard, 2000; Durell and Guy, 2001; Tikhonov and Zhorov, 2011). W1531G opens an external access/egress pathway for local anesthetics (Lukacs et al., 2014). The lidocaine-induced slow phase of recovery from short depolarizations was substantially accelerated in W1531G compared with wild-type channels, whereas lidocaine-modified recovery from inactivation produced by long depolarizations occurred at a much slower rate. Thus, upon recovery from short depolarizations lidocaine most probably dissociates from fast-inactivated channels. This dissociation is accelerated by the external egress pathway created by W1531G. Although the high-affinity state for lidocaine with short depolarizations appears to be the fast-inactivated state, it has to be noted that there is increasing experimental evidence for local anesthetic drug-binding along the activation pathway that precedes entry into inactivation (Vedantham and Cannon, 1999; Muroi and Chanda, 2009).

On the other hand, after long depolarizations recovery appears to occur mainly from the lidocaine-modified IM state. Lidocaine significantly increased both the time constant and the amplitude of recovery from IM in most examined mutations (Fig. 9 and Fig. 11, A and B). The modification of recovery from IM by lidocaine has been reported previously (Kambouris et al., 1998). The authors noted that “lidocaine enhanced occupancy of a nonconducting state with intermediate recovery kinetics similar (but not identical) to IM.” In this study lidocaine consistently increased the time constant of IM with prepulses to –20 mV (Fig. 9). With prepulses to –50 mV the effect was less dramatic, mainly because of the lower amplitude of recovery at this voltage, which reduces the accuracy of estimation of the time constants by nonlinear curve fitting. The lidocaine-induced increase in the time constant of recovery from IM may reflect slow drug dissociation from that state at hyperpolarized voltages.

Figure 12C shows that there is a significant correlation between the mutation-induced changes in the time constant of recovery from IM and the lidocaine-modified time constant of IM, suggesting a link between recovery from the native IM state and lidocaine-induced slowing of recovery.

The significant reduction of the amplitude of recovery from IS by lidocaine (Fig. 11, C and D) most probably results from the drug-induced stabilization of IM, which prevents channels from entering into other connected states (Kambouris et al., 1998). This effect also explains the substantial acceleration of recovery from long depolarizations in W1531G (Fig. 14). With this mutation lidocaine reduced the fraction of channels that recovered from IS with long depolarizations from 37% to 15% (Fig. 14). A similar phenomenon has been observed in NaV1.7 channels (Sheets et al., 2011) and may allow for development of a new generation of analgesic drugs.

Acknowledgments

The authors thank Jarmila Uhrinova for her excellent technical assistance.

Authorship Contributions

Participated in research design: Gawali, Lukacs, Todt.

Conducted experiments: Gawali, Lukacs.

Performed data analysis: Gawali, Lukacs, Cervenka, Koenig, Rubi, Sandtner, Todt.,

Wrote or contributed to the writing of the manuscript: Gawali, Cervenka, Koenig, Hilber, Sandtner, Todt.

Footnotes

    • Received April 17, 2015.
    • Accepted September 9, 2015.
  • This study was funded by the Austrian Science Fund FWF [Grants P210006-B11 and W1232-B11].

  • dx.doi.org/10.1124/mol.115.099580.

Abbreviations

DIV
Domain IV
IF
fast inactivation
IFM
intermediate fast inactivation
INa
Na+ current
IM
intermediate inactivation
IM-MUT
modified intermediate inactivation
IS
slow inactivation
QX-222
N-(2,6-Dimethylphenylcarbamoylmethyl) trimethylammonium chloride
rNaV1.4
rat muscle NaV1.4
S6
segment 6
VGSC
voltage-gated sodium channels
  • Copyright © 2015 by The American Society for Pharmacology and Experimental Therapeutics

References

  1. ↵
    1. Antzelevitch C,
    2. Nesterenko V,
    3. Shryock JC,
    4. Rajamani S,
    5. Song Y, and
    6. Belardinelli L
    (2014) The role of late I Na in development of cardiac arrhythmias. Handbook Exp Pharmacol 221:137–168.
    OpenUrlCrossRef
  2. ↵
    1. Bai CX,
    2. Glaaser IW,
    3. Sawanobori T, and
    4. Sunami A
    (2003) Involvement of local anesthetic binding sites on IVS6 of sodium channels in fast and slow inactivation. Neurosci Lett 337:41–45.
    OpenUrlCrossRefPubMed
  3. ↵
    1. Balser JR,
    2. Nuss HB,
    3. Orias DW,
    4. Johns DC,
    5. Marban E,
    6. Tomaselli GF, and
    7. Lawrence JH
    (1996a) Local anesthetics as effectors of allosteric gating. Lidocaine effects on inactivation-deficient rat skeletal muscle Na channels. J Clin Invest 98:2874–2886.
    OpenUrlCrossRefPubMed
  4. ↵
    1. Balser JR,
    2. Nuss HB,
    3. Romashko DN,
    4. Marban E, and
    5. Tomaselli GF
    (1996b) Functional consequences of lidocaine binding to slow-inactivated sodium channels. J Gen Physiol 107:643–658.
    OpenUrlAbstract/FREE Full Text
  5. ↵
    1. Bean BP,
    2. Cohen CJ, and
    3. Tsien RW
    (1983) Lidocaine block of cardiac sodium channels. J Gen Physiol 81:613–642.
    OpenUrlAbstract/FREE Full Text
  6. ↵
    1. Bennett PB,
    2. Valenzuela C,
    3. Chen LQ, and
    4. Kallen RG
    (1995) On the molecular nature of the lidocaine receptor of cardiac Na+ channels. Modification of block by alterations in the alpha-subunit III-IV interdomain. Circ Res 77:584–592.
    OpenUrlAbstract/FREE Full Text
  7. ↵
    1. Black JA and
    2. Waxman SG
    (2013) Noncanonical roles of voltage-gated sodium channels. Neuron 80:280–291.
    OpenUrlCrossRefPubMed
  8. ↵
    1. Bosmans F,
    2. Martin-Eauclaire MF, and
    3. Swartz KJ
    (2008) Deconstructing voltage sensor function and pharmacology in sodium channels. Nature 456:202–208.
    OpenUrlCrossRefPubMed
  9. ↵
    1. Cahalan MD
    (1978) Local anesthetic block of sodium channels in normal and pronase-treated squid giant axons. Biophys J 23:285–311.
    OpenUrlCrossRefPubMed
  10. ↵
    1. Chahine M,
    2. George AL Jr.,
    3. Zhou M,
    4. Ji S,
    5. Sun W,
    6. Barchi RL, and
    7. Horn R
    (1994) Sodium channel mutations in paramyotonia congenita uncouple inactivation from activation. Neuron 12:281–294.
    OpenUrlCrossRefPubMed
  11. ↵
    1. Chanda B and
    2. Bezanilla F
    (2002) Tracking voltage-dependent conformational changes in skeletal muscle sodium channel during activation. J Gen Physiol 120:629–645.
    OpenUrlAbstract/FREE Full Text
  12. ↵
    1. Chen LQ,
    2. Santarelli V,
    3. Horn R, and
    4. Kallen RG
    (1996) A unique role for the S4 segment of domain 4 in the inactivation of sodium channels. J Gen Physiol 108:549–556.
    OpenUrlAbstract/FREE Full Text
  13. ↵
    Chen Z, Ong BH, Kambouris NG, Marban E, Tomaselli GF, and Balser JR (2000) Lidocaine induces a slow inactivated state in rat skeletal muscle sodium channels. J Physiol 524 (Pt 1):37–49.
  14. ↵
    1. Coppini R,
    2. Ferrantini C,
    3. Yao L,
    4. Fan P,
    5. Del Lungo M,
    6. Stillitano F,
    7. Sartiani L,
    8. Tosi B,
    9. Suffredini S,
    10. Tesi C,
    11. et al.
    (2013) Late sodium current inhibition reverses electromechanical dysfunction in human hypertrophic cardiomyopathy. Circulation 127:575–584.
    OpenUrlAbstract/FREE Full Text
  15. ↵
    1. Crumb WJ Jr. and
    2. Clarkson CW
    (1990) Characterization of cocaine-induced block of cardiac sodium channels. Biophys J 57:589–599.
    OpenUrlCrossRefPubMed
  16. ↵
    1. Cummins TR and
    2. Sigworth FJ
    (1996) Impaired slow inactivation in mutant sodium channels. Biophys J 71:227–236.
    OpenUrlCrossRefPubMed
  17. ↵
    1. Dib-Hajj SD,
    2. Binshtok AM,
    3. Cummins TR,
    4. Jarvis MF,
    5. Samad T, and
    6. Zimmermann K
    (2009) Voltage-gated sodium channels in pain states: role in pathophysiology and targets for treatment. Brain Res Brain Res Rev 60:65–83.
    OpenUrlCrossRefPubMed
  18. ↵
    1. Dupere JR,
    2. Dale TJ,
    3. Starkey SJ, and
    4. Xie X
    (1999) The anticonvulsant BW534U87 depresses epileptiform activity in rat hippocampal slices by an adenosine-dependent mechanism and through inhibition of voltage-gated Na+ channels. Br J Pharmacol 128:1011–1020.
    OpenUrlCrossRef
  19. ↵
    1. Durell SR and
    2. Guy HR
    (2001) A putative prokaryote voltage-gated Ca(2+) channel with only one 6TM motif per subunit. Biochem Biophys Res Commun 281:741–746.
    OpenUrlCrossRefPubMed
  20. ↵
    1. Goldschen-Ohm MP,
    2. Capes DL,
    3. Oelstrom KM, and
    4. Chanda B
    (2013) Multiple pore conformations driven by asynchronous movements of voltage sensors in a eukaryotic sodium channel. Nat Commun 4:1350.
    OpenUrlCrossRefPubMed
  21. ↵
    1. Hayward LJ,
    2. Brown RH Jr., and
    3. Cannon SC
    (1997) Slow inactivation differs among mutant Na channels associated with myotonia and periodic paralysis. Biophys J 72:1204–1219.
    OpenUrlCrossRefPubMed
  22. ↵
    1. Hille B
    (1977) Local anesthetics: hydrophilic and hydrophobic pathways for the drug-receptor reaction. J Gen Physiol 69:497–515.
    OpenUrlAbstract/FREE Full Text
  23. ↵
    1. Hondeghem LM and
    2. Katzung BG
    (1977) Time- and voltage-dependent interactions of antiarrhythmic drugs with cardiac sodium channels. Biochim Biophys Acta 472:373–398.
    OpenUrlPubMed
  24. ↵
    1. Kambouris NG,
    2. Hastings LA,
    3. Stepanovic S,
    4. Marban E,
    5. Tomaselli GF, and
    6. Balser JR
    (1998) Mechanistic link between lidocaine block and inactivation probed by outer pore mutations in the rat micro1 skeletal muscle sodium channel. J Physiol 512:693–705.
    OpenUrlCrossRefPubMed
  25. ↵
    1. Karoly R,
    2. Lenkey N,
    3. Juhasz AO,
    4. Vizi ES, and
    5. Mike A
    (2010) Fast- or slow-inactivated state preference of Na+ channel inhibitors: a simulation and experimental study. PLOS Comput Biol 6:e1000818.
    OpenUrlCrossRefPubMed
  26. ↵
    1. Khodorov B,
    2. Shishkova L,
    3. Peganov E, and
    4. Revenko S
    (1976) Inhibition of sodium currents in frog Ranvier node treated with local anesthetics. Role of slow sodium inactivation. Biochim Biophys Acta 433:409–435.
    OpenUrlCrossRef
  27. ↵
    1. Kondratiev A and
    2. Tomaselli GF
    (2003) Altered gating and local anesthetic block mediated by residues in the I-S6 and II-S6 transmembrane segments of voltage-dependent Na+ channels. Mol Pharmacol 64:741–752.
    OpenUrlAbstract/FREE Full Text
  28. ↵
    1. Lampert A,
    2. Eberhardt M, and
    3. Waxman SG
    (2014) Altered sodium channel gating as molecular basis for pain: contribution of activation, inactivation, and resurgent currents. Handbook Exp Pharmacol 221:91–110.
    OpenUrlCrossRef
  29. ↵
    1. Leffler A,
    2. Reiprich A,
    3. Mohapatra DP, and
    4. Nau C
    (2007) Use-dependent block by lidocaine but not amitriptyline is more pronounced in tetrodotoxin (TTX)-Resistant Nav1.8 than in TTX-sensitive Na+ channels. J Pharmacol Exp Ther 320:354–364.
    OpenUrlAbstract/FREE Full Text
  30. ↵
    1. Lerche H,
    2. Peter W,
    3. Fleischhauer R,
    4. Pika-Hartlaub U,
    5. Malina T,
    6. Mitrovic N, and
    7. Lehmann-Horn F
    (1997) Role in fast inactivation of the IV/S4-S5 loop of the human muscle Na+ channel probed by cysteine mutagenesis. J Physiol 505:345–352.
    OpenUrlCrossRefPubMed
  31. ↵
    1. Lipkind GM and
    2. Fozzard HA
    (2000) KcsA crystal structure as framework for a molecular model of the Na(+) channel pore. Biochemistry 39:8161–8170.
    OpenUrlCrossRefPubMed
  32. ↵
    1. Lukacs P,
    2. Gawali VS,
    3. Cervenka R,
    4. Ke S,
    5. Koenig X,
    6. Rubi L,
    7. Zarrabi T,
    8. Hilber K,
    9. Stary-Weinzinger A, and
    10. Todt H
    (2014) Exploring the structure of the voltage-gated Na+ channel by an engineered drug access pathway to the receptor site for local anesthetics. J Biol Chem 289:21770–21781.
    OpenUrlAbstract/FREE Full Text
  33. ↵
    1. Macdonald RL and
    2. Kelly KM
    (1993) Antiepileptic drug mechanisms of action. Epilepsia 34 (Suppl 5):S1–S8.
    OpenUrl
  34. ↵
    1. McDonald TV,
    2. Courtney KR, and
    3. Clusin WT
    (1989) Use-dependent block of single sodium channels by lidocaine in guinea pig ventricular myocytes. Biophys J 55:1261–1266.
    OpenUrlCrossRefPubMed
  35. ↵
    1. McPhee JC,
    2. Ragsdale DS,
    3. Scheuer T, and
    4. Catterall WA
    (1995) A critical role for transmembrane segment IVS6 of the sodium channel alpha subunit in fast inactivation. J Biol Chem 270:12025–12034.
    OpenUrlAbstract/FREE Full Text
  36. ↵
    1. McPhee JC,
    2. Ragsdale DS,
    3. Scheuer T, and
    4. Catterall WA
    (1998) A critical role for the S4-S5 intracellular loop in domain IV of the sodium channel alpha-subunit in fast inactivation. J Biol Chem 273:1121–1129.
    OpenUrlAbstract/FREE Full Text
  37. ↵
    1. Muroi Y and
    2. Chanda B
    (2009) Local anesthetics disrupt energetic coupling between the voltage-sensing segments of a sodium channel. J Gen Physiol 133:1–15.
    OpenUrlCrossRefPubMed
  38. ↵
    1. Nuss HB,
    2. Balser JR,
    3. Orias DW,
    4. Lawrence JH,
    5. Tomaselli GF, and
    6. Marban E
    (1996) Coupling between fast and slow inactivation revealed by analysis of a point mutation (F1304Q) in mu 1 rat skeletal muscle sodium channels. J Physiol 494:411–429.
    OpenUrlCrossRefPubMed
  39. ↵
    1. Nuss HB,
    2. Kambouris NG,
    3. Marbán E,
    4. Tomaselli GF, and
    5. Balser JR
    (2000) Isoform-specific lidocaine block of sodium channels explained by differences in gating. Biophys J 78:200–210.
    OpenUrlCrossRefPubMed
  40. ↵
    1. Pisani A,
    2. Stefani A,
    3. Siniscalchi A,
    4. Mercuri NB,
    5. Bernardi G, and
    6. Calabresi P
    (1995) Electrophysiological actions of felbamate on rat striatal neurones. Br J Pharmacol 116:2053–2061.
    OpenUrlCrossRef
  41. ↵
    1. Ragsdale DS,
    2. McPhee JC,
    3. Scheuer T, and
    4. Catterall WA
    (1994) Molecular determinants of state-dependent block of Na+ channels by local anesthetics. Science 265:1724–1728.
    OpenUrlAbstract/FREE Full Text
  42. ↵
    1. Ragsdale DS,
    2. McPhee JC,
    3. Scheuer T, and
    4. Catterall WA
    (1996) Common molecular determinants of local anesthetic, antiarrhythmic, and anticonvulsant block of voltage-gated Na+ channels. Proc Natl Acad Sci USA 93:9270–9275.
    OpenUrlAbstract/FREE Full Text
  43. ↵
    1. Sheets MF,
    2. Kyle JW,
    3. Kallen RG, and
    4. Hanck DA
    (1999) The Na channel voltage sensor associated with inactivation is localized to the external charged residues of domain IV, S4. Biophys J 77:747–757.
    OpenUrlCrossRefPubMed
  44. ↵
    1. Sheets PL,
    2. Jarecki BW, and
    3. Cummins TR
    (2011) Lidocaine reduces the transition to slow inactivation in Na(v)1.7 voltage-gated sodium channels. Br J Pharmacol 164 (2b):719–730.
    OpenUrlCrossRefPubMed
  45. ↵
    1. Starmer CF
    (1986) Theoretical characterization of ion channel blockade: ligand binding to periodically accessible receptors. J Theor Biol 119:235–249.
    OpenUrlCrossRefPubMed
  46. ↵
    1. Sunami A,
    2. Tracey A,
    3. Glaaser IW,
    4. Lipkind GM,
    5. Hanck DA, and
    6. Fozzard HA
    (2004) Accessibility of mid-segment domain IV S6 residues of the voltage-gated Na+ channel to methanethiosulfonate reagents. J Physiol 561:403–413.
    OpenUrlCrossRefPubMed
  47. ↵
    1. Takahashi MP and
    2. Cannon SC
    (1999) Enhanced slow inactivation by V445M: a sodium channel mutation associated with myotonia. Biophys J 76:861–868.
    OpenUrlCrossRefPubMed
  48. ↵
    1. Takahashi MP and
    2. Cannon SC
    (2001) Mexiletine block of disease-associated mutations in S6 segments of the human skeletal muscle Na(+) channel. J Physiol 537:701–714.
    OpenUrlCrossRefPubMed
  49. ↵
    1. Tikhonov DB and
    2. Zhorov BS
    (2011) Possible roles of exceptionally conserved residues around the selectivity filters of sodium and calcium channels. J Biol Chem 286:2998–3006.
    OpenUrlAbstract/FREE Full Text
  50. ↵
    1. Vedantham V and
    2. Cannon SC
    (1999) The position of the fast-inactivation gate during lidocaine block of voltage-gated Na+ channels. J Gen Physiol 113:7–16.
    OpenUrlAbstract/FREE Full Text
  51. ↵
    1. Vedantham V and
    2. Cannon SC
    (2000) Rapid and slow voltage-dependent conformational changes in segment IVS6 of voltage-gated Na(+) channels. Biophys J 78:2943–2958.
    OpenUrlCrossRefPubMed
  52. ↵
    1. Wang GK,
    2. Brodwick MS,
    3. Eaton DC, and
    4. Strichartz GR
    (1987) Inhibition of sodium currents by local anesthetics in chloramine-T-treated squid axons. The role of channel activation. J Gen Physiol 89:645–667.
    OpenUrlAbstract/FREE Full Text
  53. ↵
    1. Wang SY,
    2. Bonner K,
    3. Russell C, and
    4. Wang GK
    (2003) Tryptophan scanning of D1S6 and D4S6 C-termini in voltage-gated sodium channels. Biophys J 85:911–920.
    OpenUrlCrossRefPubMed
  54. ↵
    1. Waxman SG
    (2013) Painful Na-channelopathies: an expanding universe. Trends Mol Med 19:406–409.
    OpenUrlCrossRefPubMed
  55. ↵
    1. Weirich J and
    2. Antoni H
    (1998) Rate-dependence of antiarrhythmic and proarrhythmic properties of class I and class III antiarrhythmic drugs. Basic Res Cardiol 93 (Suppl 1):125–132.
    OpenUrl
  56. ↵
    1. Yarov-Yarovoy V,
    2. McPhee JC,
    3. Idsvoog D,
    4. Pate C,
    5. Scheuer T, and
    6. Catterall WA
    (2002) Role of amino acid residues in transmembrane segments IS6 and IIS6 of the Na+ channel alpha subunit in voltage-dependent gating and drug block. J Biol Chem 277:35393–35401.
    OpenUrlAbstract/FREE Full Text
  57. ↵
    1. Yeh JZ
    (1978) Sodium inactivation mechanism modulates QX-314 block of sodium channels in squid axons. Biophys J 24:569–574.
    OpenUrlCrossRefPubMed
  58. ↵
    1. Yeh JZ and
    2. Tanguy J
    (1985) Na channel activation gate modulates slow recovery from use-dependent block by local anesthetics in squid giant axons. Biophys J 47:685–694.
    OpenUrlCrossRefPubMed
  59. ↵
    1. Zarrabi T,
    2. Cervenka R,
    3. Sandtner W,
    4. Lukacs P,
    5. Koenig X,
    6. Hilber K,
    7. Mille M,
    8. Lipkind GM,
    9. Fozzard HA, and
    10. Todt H
    (2010) A molecular switch between the outer and the inner vestibules of the voltage-gated Na+ channel. J Biol Chem 285:39458–39470.
    OpenUrlAbstract/FREE Full Text
  60. ↵
    1. Zilberter Yu,
    2. Motin L,
    3. Sokolova S,
    4. Papin A, and
    5. Khodorov B
    (1991) Ca-sensitive slow inactivation and lidocaine-induced block of sodium channels in rat cardiac cells. J Mol Cell Cardiol 23 (Suppl 1):61–72.
    OpenUrlCrossRefPubMed
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Molecular Pharmacology: 88 (5)
Molecular Pharmacology
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1 Nov 2015
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Research ArticleArticle

Lidocaine Modifies Fast and Slow Repriming of Nav Channels

Vaibhavkumar S. Gawali, Peter Lukacs, Rene Cervenka, Xaver Koenig, Lena Rubi, Karlheinz Hilber, Walter Sandtner and Hannes Todt
Molecular Pharmacology November 1, 2015, 88 (5) 866-879; DOI: https://doi.org/10.1124/mol.115.099580

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Research ArticleArticle

Lidocaine Modifies Fast and Slow Repriming of Nav Channels

Vaibhavkumar S. Gawali, Peter Lukacs, Rene Cervenka, Xaver Koenig, Lena Rubi, Karlheinz Hilber, Walter Sandtner and Hannes Todt
Molecular Pharmacology November 1, 2015, 88 (5) 866-879; DOI: https://doi.org/10.1124/mol.115.099580
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