The TREK subfamily of two-pore domain K+ (K2P) channels are inhibited by fluoxetine and its metabolite, norfluoxetine (NFx). Although not the principal targets of this antidepressant, TREK channel inhibition by NFx has provided important insights into the conformational changes associated with channel gating and highlighted the role of the selectivity filter in this process. However, despite the availability of TREK-2 crystal structures with NFx bound, the precise mechanisms underlying NFx inhibition remain elusive. NFx has previously been proposed to be a state-dependent inhibitor, but its binding site suggests many possible ways in which this positively charged drug might inhibit channel activity. Here we show that NFx exerts multiple effects on single-channel behavior that influence both the open and closed states of the channel and that the channel can become highly activated by 2-APB while remaining in the down conformation. We also show that the inhibitory effects of NFx are unrelated to its positive charge but can be influenced by agonists which alter filter stability, such as ML335, as well as by an intrinsic voltage-dependent gating process within the filter. NFx therefore not only inhibits channel activity by altering the equilibrium between up and down conformations but also can directly influence filter gating. These results provide further insight into the complex allosteric mechanisms that modulate filter gating in TREK K2P channels and highlight the different ways in which filter gating can be regulated to permit polymodal regulation.
Within the family of two-pore domain K+ (K2P) channels, the TREK subfamily (K2P2.1/TREK-1, K2P10.1/TREK-2, and K2P4.1/TRAAK) exhibits polymodal regulation by diverse chemical and physical stimuli that couple many different cellular and environmental signals to changes in cellular electrical activity (Enyedi and Czirjak, 2010; Niemeyer et al., 2016). TREK channels are located throughout the central and peripheral nervous system, where they are involved in variety of processes including mechanosensation, thermosensation, and nociception (Djillani et al., 2019a). As a consequence of their apparent role in these tissues, selective TREK channel agonists have been proposed as potential analgesics (Mathie and Veale, 2015; Vivier et al., 2016), and several inhibitors are also considered possible antidepressants (Heurteaux et al., 2006; Djillani et al., 2019b). Understanding the mechanisms by which such small molecules and other compounds modulate TREK channel activity is therefore important to fully realize their therapeutic potential.
In a previous study, we solved crystal structures of the human TREK-2 channel in two distinct structural states known as the up and down conformations (Dong et al., 2015). In that same study, we also determined structures of TREK-2 in complex with two known inhibitors, namely fluoxetine and its active metabolite, norfluoxetine (NFx). Fluoxetine (Prozac) is a commonly prescribed antidepressant, and although its principal action as a selective serotonin reuptake inhibitor is well characterized, its inhibitory effects on TREK channels remain of interest due to the reported link between TREK-1 and depression and the fact it is one of few relatively high-affinity blockers of TREK channels currently available (Kennard et al., 2005; Heurteaux et al., 2006). Furthermore, the crystal structures of TREK-2 revealed that NFx binds in the inner cavity of TREK-2 within side fenestrations formed by a gap between the transmembrane (TM) domains. Consequently, the NFx-binding site is only available in the down state because these gaps are not present in the up state. However, the relative activity of these up and down conformations is unknown, and the precise mechanism by which NFx binding leads to inhibition of TREK channel activity remains unclear.
It has recently been shown that some K2P channels possess a lower gate analogous to the classical helix bundle crossing found in many other types of K+ channels (Li et al., 2020; Rodstrom et al., 2020). However, most K2P channels, including TREK channels, do not have a lower gate (Brohawn et al., 2012; Miller and Long, 2012; Lolicato et al., 2014; Dong et al., 2015; Lolicato et al., 2017). Instead, they appear to gate primarily within their selectivity filter (Zilberberg et al., 2001; Bagriantsev et al., 2011; Piechotta et al., 2011; Schewe et al., 2016; Nematian-Ardestani et al., 2020), and current models for TREK channel gating propose that movement of the TM helices can regulate this filter gating mechanism but do not constrict enough at this lower region to prevent K+ permeation (Brohawn et al., 2012; Lolicato et al., 2014; Dong et al., 2015).
This current model for TREK channel gating is shown in Fig. 1 A. The two global states of the channel, the up and down conformations, are thought to regulate TREK channel activity by controlling the dynamics of the filter gate. Initially, when these two conformations were identified, it was thought that NFx binding to the down state would not only stabilize that conformation but also impair movement to the up conformation, thereby representing a possible mechanism for the apparent state-dependent effects of NFx on TREK channel activity (Kennard et al., 2005). However, it was later shown that when the filter gate was activated directly, either by mutations near the filter or by using Rb+ as the permeant ion, that NFx inhibition was not affected (McClenaghan et al., 2016). Furthermore, BL1249 directly activates the filter gate when the channel is in the down state (Schewe et al., 2019). These observations imply the filter gate can be conductive when the channel is in the down conformation and that movement to the up state is not required for the filter gate to open. The model also proposed that movement of the TM helices modulates the relative activity of the filter gate, with the up conformation enabling a higher open probability when the up state is stabilized by physiological stimuli (e.g., membrane stretch; Aryal et al., 2017; Clausen et al., 2017).
However, this model is based on ensemble measurements of channel activity, where it remains difficult to exclude the possibility that openings of the filter gate from a “lower activity” down state remain coupled to brief structural movements of the TM helices into the up conformation. The true state dependence of NFx inhibition therefore remains unknown. Also, such macroscopic measurements cannot determine conclusively whether the channel can become fully activated while remaining in the down conformation.
Other mechanisms of inhibition might also contribute to its effects on channel activity. For example, in addition to any effect on the equilibrium between up and down conformations, the binding of NFx within the inner pore (Fig. 1 B) and its intrinsic positive charge suggests that it could also directly block or impair K+ permeation through the inner cavity. Finally, the proximity of the NFx-binding sites to the filter also suggests it might exert additional allosteric effects on the filter gate itself.
The role of these different possible mechanisms of inhibition by NFx have not been fully explored, and their relative contribution remains unknown. Understanding these processes is important for not only dissecting the mechanism of NFx inhibition but also determining how filter gating is coupled to the different conformational states of the TM helices. In this study, we have therefore examined the inhibition of TREK-2 channel activity by NFx at both the macroscopic and single-channel level. Our results provide new insight into the state-independent inhibitory effects of NFx on both the open and closed states of the channel, and we show that the channel can become highly activated even when it is the down conformation.
Materials and methods
Preparation of TREK-2 containing giant unilamellar vesicles (GUVs)
Human TREK-2 (KCNK10) “crystal construct” protein (Gly67 to Glu340) was expressed and purified as previously described (Dong et al., 2015), with the exception that it was purified in 1% wt/vol n-octyl-β-D-glucoside, 0.1% wt/vol cholesteryl hemisuccinate. 1,2-Diphytanoyl-sn-glycero-3-phosphocholine was dissolved in chloroform to a concentration of 10 mM and stored at −20°C. The GUVs were then made by electroformation in a 1 M sorbitol solution using Vesicle Prep Pro (Nanion Technologies). Purified TREK-2 was then mixed with GUVs to a final concentration of ∼1–5 µg/ml and incubated overnight at 4°C with 0.5 mg/ml Bio-Beads (Bio-Rad) before use.
Clones and chemicals
Full-length human TREK-2 isoform 3 (NCBI accession no. NP_612191) was used throughout this study and was subcloned into the pFAW vector for expression in oocytes. The truncated construct used to generate protein (TREK-2ΔN/ΔC) is identical to that used previously to obtain crystal structures (Dong et al., 2015); it contains a deletion of 71 residues at the N terminus and 213 residues at the C terminus. NFx was dissolved in DMSO and diluted to working concentrations on the day of experimenting (maximum final DMSO concentration was 0.3%). Desamino chloro-fluoxetine (Toronto Research Chemicals) was dissolved in chloroform and diluted to working concentrations on the day of experimenting (maximum final concentration was 0.01%).
The relative locations of the overlapping binding sites for the different drugs in TREK-2 shown in Fig. 1 are based upon the following crystal structures and models. The binding site for NFx is based upon a crystal structure of NFx bound to TREK-2 (PDB accession no. 4XDK; Dong et al., 2015). The site for ML335 is based upon the crystal structure of ML335 bound to TREK-1 (PDB accession no. 6CQ8; Lolicato et al., 2017). The site for tetrapentylammonium (TPA) is based upon a model of TPA bound to TREK-1 (Piechotta et al., 2011) and similar structures of quaternary ammonium (QA) ions bound below the filter of other K+ channels (Posson et al., 2013). The site for BL1249 is modeled into TREK-2 based upon crystallographic localization of the bromine atom in a bound brominated derivative of BL1249 (Schewe et al., 2019).
Bilayer recordings and analysis
All electrophysiological recordings were performed with the Nanion Port-a-Patch system connected to an Axopatch 200B amplifier via a Digidata 1440A digitizer (Molecular Devices). Data were filtered at 5 kHz and recorded at a 200-kHz sampling rate with program Clampex (Molecular Devices). Experiments were performed in symmetrical 200 mM KCl and 10 mM HEPES (pH 6.0 with KOH) solutions. Single-channel currents were idealized using 50% threshold criterion with program Clampfit (Molecular Devices) at an imposed resolution of 50 µs. Only one open and one closed level were considered in the analysis; all subconductance states were neglected (these typically comprised less than 1% of open- and closed-level events of channels in the “high PO” mode). Analysis of amplitude and dwell-time distributions was performed in Origin (OriginLab Corporation) and an in-house software written in Mathematica (Wolfram Technologies). Empirical correction for open times due to missed events was performed as described previously (Davies et al., 1992). Critical time for burst analysis was determined using Colquhoun and Sakmann criterion (Colquhoun and Sakmann, 1985).
Membrane elasticity measurements were performed as described previously (Vitovic et al., 2013). Briefly, a 1 kHz sine wave with an amplitude of 100 mV was applied to the membrane using a wave generator (Rigol DG821; Rigol Technologies). Due to the nonlinear dependence of membrane capacitance on the voltage V [C = C0 (1 + αV2)], where C0 is the capacitance at V = 0 and α is the electrostriction coefficient, a third current harmonic with frequency 3 kHz and amplitude A3 is generated in addition to the basic first current harmonic, A1 (frequency 1 kHz). The ratio of modulus of elasticity with and without NFx (E⊥NFX/E⊥(0)) is then given as A3(0)/A3NFX, where A3(0) and A3NFX are amplitudes of third current harmonic frequencies in the absence and presence of NFx, respectively.
Expression in oocytes and HEK293 cells
Oocytes were prepared for injection of mRNA by collagenase digestion followed by manual defolliculation and stored in ND96 solution that contained (in mM) 96 NaCl, 2 KCl, 1.8 CaCl2, 1 MgCl2, and 10 HEPES (pH 7.4) and was supplemented with 2.5 mM sodium pyruvate 50 µg/ml gentamycin, 50 µg/ml tetracycline, 50 µg/ml ciprofloxacin, and 100 µg/ml amikacin. Cells were injected with 1–4 ng mRNA up to 4 d after isolation. In vitro transcription of mRNA was done using the Amplicap SP6 Kit (Cambio). Experiments were performed 12–24 h after injection at room temperature (22°C unless otherwise indicated). For measurement and comparison of basal whole-cell currents, oocytes were injected with 4 ng RNA and recorded exactly 24 h after injection.
HEK293 cells were cultured in DMEM (Sigma) containing 10% FBS (Life Technologies), 3 mM glucose, and 2 mM glutamine at 37°C in a humidified atmosphere of 5% CO2/95% O2 at 37°C. Cells were transiently transfected with 0.2 µg channel pcDNA3 per dish using FuGENE 6 according to the manufacturer’s instructions. Cells were used 1–2 d after transfection.
Electrophysiology in heterologous systems and data analysis
For currents recorded in Xenopuslaevis oocytes, giant-patch electrodes were pulled from thick-walled borosilicate glass and polished to give pipette resistances of ∼0.3–0.5 MΩ when filled with patch solution. Pipette solution contained (in mM) 116 NMDG, 4 KCl, 1 MgCl2, 3.6 CaCl2, and 10 HEPES (pH 7.4), while the bath solution contained (in mM) 120 KCl, 1 NaCl, 2 EGTA, and 10 HEPES (pH 7.3). Patches were perfused via a gravity-flow perfusion system and a HEKA EPC 10 USB single computer–controlled amplifier was used and currents recorded using a Patchmaster v2 × 90.5 (HEKA Electronics), filtered at 1 kHz, and sampled at 10 kHz. For currents recorded in HEK293 cells, patch electrodes were pulled from thick-walled borosilicate glass and polished to give pipette resistances of ∼3–5 MΩ when filled with patch solution. The currents were recorded from excised patches with both intracellular and extracellular solution containing 200 mM KCl and 10 mM HEPES (pH 6.0 with KOH). Patches were perfused via a gravity-flow perfusion system. Data were acquired with pClamp and recorded using an Axopatch 200B (Molecular Devices), filtered at 5 kHz, and sampled at 200 kHz. Single-channel currents were analyzed in an identical manner to those obtained from bilayers (see above).
All data are presented as mean ± SEM.
Born energy profiles of a K+ ion through the channel pore of a TREK-2 structure (PDB accession no. 4XDK) in the absence or presence of NFx were calculated by numerically solving the linearized Poisson–Boltzmann equation using the adaptive Poisson–Boltzmann solver (Baker et al., 2001; Jurrus et al., 2018). The ion was positioned along the central channel axis at 0.05-nm intervals, extending 2 nm into the bulk phase from either side of the channel. A Born radius of 0.22 nm was used for K+. Protein and ligand atoms were assigned radii and partial charges from the CHARMM36 force field. The radius of an implicit solvent molecule was set to 0.14 nm, the ionic strength to 0.15 M KCl, and the dielectric constant to 78.5 for the solvent and 2 for the protein. The Born energy for inserting an ion at each sampled position was calculated at 37°C by subtracting the individual electrostatic energies of the protein and the ion in solution from the electrostatic energy of the protein-ion system (Beckstein et al., 2004).
Access to data and materials
The research materials supporting this publication can be accessed by contacting the corresponding author.
Online supplemental material
Fig. S1 shows the two main modes of channel behavior in lipid bilayers. Fig. S2 compares the single-channel kinetics of these two modes of behavior. Fig. S3 shows the lack of effect of NFx on the physical properties of the lipid bilayers used. Fig. S4 shows the voltage dependence of NFx block of WT TREK-2 channels at depolarized potentials. Fig. S5 shows the properties of the long closed states and bursts in the presence of NFx. Fig. S6 shows how NFx affects the open state of WT TREK-2 channels expressed in HEK293 cells. Fig. S7 describes a kinetic model of gating at the selectivity filter accompanied by supplementary notes on how this model was developed. Table S1 contains the relevant kinetic parameters for Fig. S2.
Results and discussion
Interactions between agonists and inhibitors within the inner cavity
To begin to dissect its inhibitory effects, we first examined the interaction between NFx and other ligands that also modulate channel activity. QA ions such as TPA are known to bind to a variety of K+ channels deep within the cavity just below the selectivity filter and have proven useful tools of in the study of channel pore structure and gating (Armstrong, 1971; Baukrowitz and Yellen, 1996; Piechotta et al., 2011). In TREK-2, the two binding sites for NFx are also located below the selectivity filter, and though not directly below the entrance to the filter, these sites are close enough to partially overlap with the central binding site for TPA (Fig. 1 B; Rapedius et al., 2012; Dong et al., 2015). They might therefore be expected to result in interactions between these inhibitors, and so we examined whether NFx inhibition of TREK-2 was affected by the presence of TPA.
As reported previously, NFx itself produces concentration-dependent inhibitory effects in giant inside-out patches (Fig. 1 C). The IC50 for channel inhibition was ∼3 µM at physiological pH 7.4. However, when similar dose–response curves were measured in the presence of 80 µM TPA, there was a marked reduction in the efficacy of NFx inhibition (IC50 to ∼65 µM; Fig. 1, D and E). Importantly, there was little shift in NFx inhibition with the smaller-sized QA, tetraethylammonium, which is not predicted to overlap with the NFx-binding site (Fig. 1 E). A recent crystal structure also revealed a binding site for BL1249, a TREK channel activator, which partially overlaps with the QA-binding site (Fig. 1 B), and that BL1249 activation is affected by the presence of tetrahexylammonium (THexA; Schewe et al., 2019). Consistent with the close proximity of these three ligand-binding sites, we also observed a reduced activatory effect of BL1249 in the presence NFx (Fig. 1 F).
Recent crystal structures show that another TREK-2 agonist, ML335, binds to an unrelated site behind the selectivity filter that does not overlap with the NFx-binding site (Fig. 1 B; Lolicato et al., 2017). Interestingly, we still observed a marked reduction in NFx inhibition in the presence of 50 µM ML335 (IC50 increased from ∼3 to ∼160 µM; Fig. 2, A and C). This effect appears specific, because activation by another agonist, 2-aminoethoxydiphenyl borate (2-APB), whose binding site is predicted to be in the C terminus (Zhuo et al., 2015), had little effect on NFx inhibition (Fig. 2, B and C). Importantly, the channel retains this sensitivity to NFx even when activated by 2-APB, thereby confirming that the NFx-sensitive down conformation can adopt a high-activity gating mode.
It has recently been demonstrated that ML335 binding behind the selectivity filter directly activates the filter gating mechanism by affecting the dynamic flexibility of the loops and pore helices supporting the selectivity filter (Lolicato et al., 2020). The antagonistic effect of ML335 we observe on NFx inhibition from a nonoverlapping site strongly suggests that NFx may inhibit TREK-2 via allosteric effects on the filter gating mechanism itself. Furthermore, our results indicate that the mechanism of activation by 2-APB must be different because NFx sensitivity is not altered by 2-APB, and so the channel must remain in the down conformation when activated by 2-APB.
The original gating cartoon in Fig. 1 B is therefore better represented by “modes” of gating capable of supporting different activities rather than distinct open/closed states, and this is now shown in Fig. 2 D. However, from these macroscopic recordings alone, NFx provides little information about possible up conformations, as they are NFx insensitive, and it is difficult to exclude other more direct effects of NFx on K+ permeation or whether it preferentially binds to the closed state of the channel. We therefore examined the effects of NFx inhibition on the behavior of TREK-2 at the single-channel level.
Characterization of TREK-2 single-channel behavior
Detailed analysis of the effect of drugs on single-channel behavior can provide important insights into the mechanism of drug action. In particular, if NFx acts as a state-dependent blocker that only affects the closed state, then such an effect should be evident from these recordings. However, there are two major problems when attempting to study the behavior of WT TREK-2 and its inhibition by NFx. The first problem comes from the variable kinetics and conductances reported for WT TREK-2 single channels (Kang et al., 2007). This is thought to arise from the multiple isoforms produced by alternative translation initiation sites within the N terminus (Simkin et al., 2008), but irrespective of the cause, these variations complicate the analysis of single-channel data. The second issue is that, unless activated, individual TREK-2 channels have a very low “resting” open probability (Po), which makes detailed analysis of the effects of an inhibitor extremely challenging.
In a previous study, we measured the activity of purified TREK-2 channels reconstituted into a lipid bilayer (Clausen et al., 2017). These purified proteins were the same as those used to obtain crystal structures of TREK-2 with NFx bound (Dong et al., 2015), and although truncated at both the N and C termini they still produce functional channels that can be inhibited by NFx and activated by BL1249 (Dong et al., 2015). Similar truncations in TREK-1 also retain their activation by ML335 (Lolicato et al., 2017). Furthermore, when measured in bilayers, these truncated proteins do not produce the highly variable single-channel conductances that WT TREK-2 exhibits when expressed in heterologous systems. We therefore chose to examine the effects of NFx on the behavior of single TREK-2 channels in this bilayer system.
Characterization of single TREK-2 channels in lipid bilayers
Regardless of their orientation in the bilayer, we found the Po of most reconstituted TREK-2 channels was strongly voltage dependent, with inward currents having a much lower Po than outward currents (Fig. S1, A and B). This “standard” behavior resulted in outwardly rectifying macroscopic currents similar to that observed in many previous recordings of WT TREK-2 currents expressed in heterologous systems, but the Po of these channels was not stationary over long periods of time, meaning that a detailed analysis of their inhibition by NFx would be difficult.
However, in ∼10% of recordings, we observed a high-PO mode of behavior for both outward and inward currents that resulted in a quasi-symmetrical current–voltage relationship (Fig. S1, C and D). Interestingly, if several channels were present in a recording, they would all exhibit either the standard or high-Po mode of gating, but these different modes were never observed together. The reasons underlying this high-Po mode and their conformational identity are uncertain, yet they are unlikely to be predominantly in the up conformation, as they remain NFx sensitive. However, the stability of their single-channel behavior over long periods makes them particularly suitable for analyzing the inhibitory effects of NFx.
We therefore examined the kinetics of these channels in the absence of NFx; the distributions of openings of both inward (−60 mV) and outward (+60 mV) currents in both standard and high-Po mode were well fitted by a single exponential (Fig. S2 and Table S1). The distribution of closings of both inward and outward TREK-2 channels in the standard mode were well fit by five exponentials (Fig. S2), but only the shortest two of these exponential components were present in the high-Po mode (Fig. S2 B).
The effect of NFx on the properties of single TREK-2 channels
We next examined the inhibitory effects of NFx on the well-behaved kinetics of TREK-2 in this high-Po mode. As a control for any indirect effects of NFx on the properties of the bilayer (Kapoor et al., 2019), we first tested whether high concentrations of NFx could affect the elastic modulus of the 1,2-diphytanoyl-sn-glycero-3-phosphocholine bilayers used in our experiments using the electrostriction method (Vitovic et al., 2013). However, we found no obvious effect of 1–1,000 µM NFx on the modulus of elasticity (E⊥; Fig. S3).
Recordings of a single TREK-2 channel in the high-PO mode both in the presence and absence of NFx are shown in Fig. 3. Inspection of these recordings reveals two distinct effects of the drug at all membrane voltages: a dramatic reduction in Po along with a reduction in the single-channel current amplitude (γ).
The decrease in Po is associated with the appearance of very long closed periods that separate bursts of channel openings combined with brief closures. The reduction in γ induced by NFx was evident at both positive and negative voltages (Fig. 4, A and B), but as shown in Fig. 4 B, NFx also broadened the peak of the open current level reminiscent of classical open-channel blocking mechanisms involving the fast binding and unbinding of blockers within a channel pore (Yellen, 1984). NFx could therefore also exert a combination of fast open-channel block and an allosteric inhibition/inactivation effect on the selectivity gate similar to the effect of some ions on the filter gate of MthK channels (Thomson et al., 2014). However, other explanations for this reduction in γ are also possible and are examined later.
The effect of NFx on TREK-2 channel Po is voltage dependent
The inhibition of WT macroscopic TREK currents by NFx has previously been reported to be voltage independent between +60 and −60 mV (Kennard et al., 2005; McClenaghan et al., 2016), and when we examined its effects on the Po of channels reconstituted in bilayers, we also found its inhibitory effects to be voltage independent below +60 mV. However, when channel Po was measured above +60 mV, some voltage dependence was observed, with increased efficacy at more depolarized potentials (Fig. 4 D).
To determine the relevance of these findings to full-length WT channels, we reexamined the voltage dependence of NFx inhibition of macroscopic WT TREK-2 currents expressed in Xenopus oocytes. Previous studies examined only a single NFx concentration that produces ∼80% inhibition (Kennard et al., 2005). We therefore determined macroscopic dose–response relationships for NFx inhibition at depolarized potentials and found a modest voltage dependence with a slightly increased efficacy at more positive voltages (Fig. S4). Intriguingly, this finding may account for some of the minor variations in IC50 values reported in the literature, where inhibition was recorded at different potentials (Kennard et al., 2005; Dong et al., 2015; McClenaghan et al., 2016). It will therefore be important to consider this voltage-dependent effect when reporting future IC50 values for NFx inhibition.
The effect on NFx is not state dependent
The original model shown in Fig. 1 A implies two possible mechanisms of channel opening from either the down state or the up state. If the filter gate only opens when the channel is in the up conformation, then this might explain why many activators decrease NFx efficacy and why NFx can slow the kinetics of activation, but it does not explain why NFx inhibition is unchanged when the channel is activated by 2-APB or Rb+. To determine if there was any state dependence, we therefore examined whether there was any correlation between channel Po and NFx efficacy and whether there were any differential effects of NFx on the open and closed times of the channel.
We first determined whether NFx affects TREK-2 channels differently in the standard and high-PO mode but found no obvious difference, even though their Po values differ markedly. At 10 µM NFx, the high-Po mode was blocked by 20 ± 0.02% (n = 3; mean Po = 0.85 ± 0.05) and the standard mode by 23 ± 0.05% (n = 5; mean Po = 0.40 ± 0.05; Fig. S5, A and B).
We next analyzed the effect of NFx on the kinetics of channel gating in the high-Po mode. Table 1 and Fig. 5 A shows that in the absence of NFx, the mean open time of the single apparent open state exhibits a strong bell-shaped dependence on membrane voltage with a maximum open time around +50 mV. It also shows a dramatic decrease in mean open time caused by NFx, although the effect was sharply reduced below −50 mV and virtually absent at −100 mV (Fig. 5 E).
In the absence of NFx, the mean short closed time (τF) showed an inverted bell-shaped dependence on membrane voltage with a minimum around −30 mV (Fig. 5 C and Table 1). Similar to the effect of NFx on the mean open time, reduction of this closed lifetime by NFx was also suppressed at negative membrane voltages (Fig. 5, C and G; and Table 1). In contrast to both mean open and short closed times, the mean long closed time in the absence of the drug (τS) only exhibited a mild dependence on membrane voltage (Fig. 5 D). NFx reduced the mean lifetime of this component across the whole voltage range, but its effects on the voltage dependence of the relative frequencies (areas) of the two closed states were more complex (Fig. 5 B).
Interestingly, NFx inhibition resulted in the appearance of three additional closed components (Fig. 6, G and H; and Table 1). Their mean lifetimes showed no obvious voltage dependence, but the relative frequency of the two longest states (A4 and A5) appeared to increase with voltage (Fig. S5, C and D). In particular, the steep increase in frequency of the longest closed state above +60 mV may account for the increased efficacy of NFx inhibition at more positive potentials. As shown in Fig. 3, application of NFx on TREK-2 channel in the high-Po mode resulted in a bursting behavior, with both mean burst and interburst durations exhibiting voltage dependence above +60 mV (Fig. S5, E and F). Overall, these results suggest that NFx inhibition is not state dependent and affects all gating states of the channel.
To confirm that this effect of NFx on the open state is also present in full-length WT TREK-2 channels, we examined its effects on the mean open time of TREK-2 channels expressed in HEK293 cells. As shown in Fig. S6, 10 µM NFx produced a clear reduction of τo of ∼30%, thereby supporting the idea that NFx inhibition affects both the open and closed states.
The fact a large number of factors which change Po are without effect on TREK-2 NFx sensitivity implies that the drug must bind with the same affinity to all open and closed states of the NFx-sensitive (down) conformation and that NFx binding induces the same conformational changes in the filter gate to produce closure irrespective of whether the channel is closed or open. Single-channel analysis also revealed an increase in the number of closed states in the presence of NFx (Fig. 5, G and H), suggesting the selectivity filter may alternate between several closed states after the conformational changes induced by NFx binding. However, the complexity of a kinetic scheme that would adequately describe such gating behavior meant that we decided not to pursue this analysis of NFx-induced gating any further.
What is the origin of the apparent voltage dependence of NFx block?
The voltage dependence of NFx inhibition is puzzling, as there is no strong voltage dependence to inhibition by other positively charged QA ions such as TPA and THexA, which also bind deep within the inner pore, and there is no obvious intrinsic voltage dependence of Po in the positive voltage range, where this effect becomes apparent (Fig. 4 C).
To understand this, we modeled the voltage-dependent gating of TREK-2 in the high-Po mode in the absence of NFx. Although the high-Po mode could be well described by just three states (Fig. 5), we found that three-state kinetic models were unable to describe this voltage dependence. Instead, it was necessary to assume that each of these three states were composites of several states whose distributions change with membrane voltage (Fig. S7). This kinetic model was capable of describing the voltage dependence of single-channel parameters in the absence of NFx and is described in the supplemental text section Notes on modeling (see bottom of PDF). The model predicted that the voltage-dependent filter gating above +60 mV is dominated by a distinct set of kinetic states (O3, CF3, and CS3 in Fig. S7 C). This behavior might therefore also be responsible for the voltage-dependent inhibitory effect of NFx at these positive voltages (Fig. 4 D). However, due to the increased complexity and limitations of this model, we did not attempt to dissect further the mechanism by which NFx induces this voltage-dependent block.
Interestingly, the interaction of QA ions with the filter is also known to be capable of producing a range of voltage-dependent effects on filter gating in both CNG channels and MthK K+ channels (Martinez-Francois et al., 2009; Posson et al., 2013). It is therefore tempting to speculate that the voltage-dependent block of many compounds that bind below selectivity filter of various ion channels arises from voltage-dependent gating at the selectivity filter in their absence.
Electrostatic effects of NFx binding do not contribute to inhibition
Although our results suggest additional allosteric effects of NFx on the filter gate itself, the reduction in γ combined with the broadened peak of open current level (Fig. 4 B) are also reminiscent of a classical open-channel blocking mechanism (Yellen, 1984). Furthermore, at physiological pH, NFx is positively charged and its orientation within the inner cavity would point these charged groups toward the permeation pathway (Fig. 1 B). We therefore decided to examine whether these positive charges directly affect K+ permeation and thereby contribute to the inhibitory effects of NFx on Po and/or γ.
We first used the crystal structure of TREK-2 obtained with NFx bound (PDB accession no. 4XDK) and performed Poisson–Boltzmann electrostatic calculations for K+ along the axis of the pore in either the presence or absence of charged NFx. However, these calculations revealed only a modest increase in the barrier to K+ permeation in the presence of NFx (Fig. 6 A).
To examine the role of this charge on channel activity, we next tested the inhibitory effect of a neutralized NFx derivative on WT TREK-2 channels expressed in HEK293 cells. Desamino chloro-fluoxetine is a NFx derivative in which the positively charged −NH3+ is substituted by chlorine, but as shown in Fig. 6, B and C, 10 µM desamino chloro-fluoxetine also markedly reduced channel Po (75 ± 0.05%; n = 5), with a concomitant reduction in γ (15 ± 5%; n = 5). This effect was similar to that produced by charged NFx under identical conditions (70 ± 0.03% for Po and 11 ± 7% for γ, respectively; n = 5). Together, these results demonstrate the charged nature of NFx contributes little to its inhibitory effects on channel activity or conductance.
Impaired channel gating can produce dynamic changes in NFx sensitivity
The presence of NFx within its binding sites will clearly contribute to its inhibitory effects by stabilizing the channel in the down conformation, but our results also indicate allosteric effects on the filter gate itself. Interestingly, many channel regulators also operate via allosteric coupling of movement in the TM helices to changes in the filter gate, and several activatory mutations and/or chimeras have been shown to impair this coupling process (Brohawn et al., 2014; Lolicato et al., 2014; Dong et al., 2015; Zhuo et al., 2016; Ben Soussia et al., 2018). The reduced NFx efficacy seen in these activatory mutations may therefore result from altered allosteric coupling.
To explore this, we examined the effect of NFx on the single-channel behavior of TREK-2 channel with the Y315A mutation located within the “hinge” region on M4, which interacts with M3. This mutation markedly increases macroscopic TREK-2 currents and has been reported to reduce, but not abolish, NFx inhibition (McClenaghan et al., 2016).
WT and Y315A mutant channels were therefore expressed in HEK293 cells. As expected for WT TREK-2, only channels with a very low Po were observed (ranging from 0.04 to 0.13 at −40 mV). However, unlike many other “NFx-insensitive” activatory mutations that only produce a modest increase in Po (e.g., mutation of the “pH-sensor” glutamate in the proximal C terminus; Bagriantsev et al., 2011), we observed a markedly higher Po (0.71 ± 0.1, n = 3 at −40 mV) for Y315A mutant channels (i.e., ∼10–20× greater than for WT TREK-2).
Interestingly, when we examined the effect of NFx on this mutation, we found that single Y315A currents underwent a rapid “desensitization” to NFx inhibition. Fig. 7 A shows that although 10 µM NFx initially reduced channel Po by >90%, within ∼30 s, this inhibitory effect was dramatically reduced. For comparison, the Po of WT TREK-2 channel was reduced by 79 ± 0.05% (n = 6) and did not change further in the presence of NFx as in the experiment shown in Fig. S6.
Similar to its effect on WT TREK-2, NFx also reduced the single-channel current amplitude of Y315A TREK-2, and this effect was not abolished by desensitization (Fig. 7 B). Subsequent application of 100 µM NFx further decreased channel PO, but this effect also reversed within ∼1 min, so that channel Po values before and after the addition of 100 µM NFx were similar (Fig. 7 A). In addition to this relatively transient effect on channel Po, 100 µM NFx also reduced γ even further, but this was partially reversed by desensitization (Fig. 7 C).
The desensitization of this particular mutant to NFx could arise from several possible mechanisms; it could be caused by either abolished drug binding to the channel or a reduced ability of NFx to allosterically inhibit the channel via the filter gate itself. However, the fact NFx can still reduce γ even when its effect on Po is virtually abolished suggests the drug remains bound and that it is the allosteric effect of NFx on the filter gate that is impaired by this mutation.
Our results with uncharged NFx indicate that the reduction in γ is unlikely to represent pore block, as the charge of the drug is not important. An alternative explanation for the reduction in γ could be that NFx stabilizes an ultrafast flickery closed state of the channel that results in a reduced apparent or measured γ rather than the true conductance itself.
Allosteric antagonism of NFx inhibition by ML335
In Fig. 2, we show that activation by ML335 dramatically antagonizes the inhibitory effect of NFx on macroscopic TREK-2 currents. We therefore examined this antagonistic effect at the single-channel level on WT TREK-2 channels expressed in HEK293 cells. Interestingly, although 100 µM ML335 produces maximal activation at the macroscopic level, it produced either partial or full activation of single TREK-2 channels (Fig. 8), with partial activation seen in two of four recordings with 100 µM ML335. However, regardless of the resulting Po from either partial or maximal activation by ML335, subsequent application of 10 µM NFx failed to elicit any visible effects on either the mean Po (0.69 ± 0.2, n = 4 both in the absence and presence of NFx) or single-channel current amplitude (the amplitude ratio of γ in both conditions was identical [1.00 ± 0.01; n = 4] both in the absence and presence of NFx).
The binding sites for these two drugs are distant from each other, and given the apparent effect of ML335 on the conformational dynamics of the filter gate (Lolicato et al., 2020), the reduction in NFx efficacy is likely due to the fact that both mechanisms converge on the filter gate, and prior activation of this gate by ML335 interferes with the transduction mechanism that couples NFx binding to this gating mechanism.
The molecular mechanisms by which NFx inhibits TREK channels were previously unclear and impacted our ability to dissect the global structural movements underlying channel gating. By using a combination of macroscopic and single-channel recordings, we now provide clear evidence that NFx acts as a state-independent inhibitor that affects channel gating in several different ways.
Not only does NFx affect the equilibrium between the up and down conformations, but we now show that it also exerts state-independent allosteric control of the filter gate to influence both the open and closed states of the channel. We also show that 2-APB can robustly activate TREK-2 channels without affecting NFx sensitivity, thus demonstrating that the NFx-sensitive down conformation can also support a highly active open state. This also explains why not all activators impact NFx inhibition, something that would be impossible if opening of the filter gate only occurred from the up state where NFx cannot bind. These results allow us to expand the original gating scheme to include these different modes of gating and the effects of NFx on the filter gating mechanism (Fig. 9).
Our results also reveal a mild voltage dependence of NFx inhibition arising from an intrinsic voltage-dependent gating process within the selectivity filter, which results in an increased efficacy of the drug at depolarized potentials. We also show that the reduction in single-channel conductance produced by NFx results primarily from allosteric modulation of the filter gate rather than open pore block and that the positive charge on the drug is not essential for its inhibitory effects. Overall, our results highlight the structurally divergent nature of the regulatory mechanisms that converge on the filter gate, a process that helps integrate inputs from a diverse range of physiological stimuli to effect polymodal regulation of TREK channel activity.
Crina M. Nimigean served as editor.
We thank members of our laboratories for helpful comments on the manuscript and Mark Sansom for his support of the project.
This work was supported by the Biotechnology and Biological Sciences Research Council (grants BB/S008608/1, BB/N000145/1, and BB/T002018/1), the Wellcome Trust (grants 109114/Z/15/A and WT084655MA), and Deutsche Forschungsgemeinschaft as part of the Research Unit FOR2518, DynIon.
The authors declare no competing financial interests.
Author contributions: P. Proks, M. Schewe, L.J. Conrad, S. Rao, K. Rathje, and K.E.J. Rödström performed all experimental studies, acquired data, and analyzed the results. E.P. Carpenter, T. Baukrowitz, and S.J. Tucker supervised the study and obtained funding. P. Proks and S.J. Tucker wrote the paper with extensive input from all of the authors.