Abstract
Venom peptides are potent and selective modulators of voltage-gated ion channels that regulate neuronal function both in health and in disease. We previously identified the spider venom peptide Tap1a from the Venezuelan tarantula Theraphosa apophysis that targeted multiple voltage-gated sodium and calcium channels in visceral pain pathways and inhibited visceral mechano-sensing neurons contributing to irritable bowel syndrome. In this work, alanine scanning and domain activity analysis revealed Tap1a inhibited sodium channels by binding with nanomolar affinity to the voltage-sensor domain II utilising conserved structure-function features characteristic of spider peptides belonging to family NaSpTx1. In order to speed up the development of optimized NaV-targeting peptides with greater inhibitory potency and enhanced in vivo activity, we tested the hypothesis that incorporating residues identified from other optimized NaSpTx1 peptides into Tap1a could also optimize its potency for NaVs. Applying this approach, we designed the peptides Tap1a-OPT1 and Tap1a-OPT2 exhibiting significant increased potency for NaV1.1, NaV1.2, NaV1.3, NaV1.6 and NaV1.7 involved in several neurological disorders including acute and chronic pain, motor neuron disease and epilepsy. Tap1a-OPT1 showed increased potency for the off-target NaV1.4, while this off-target activity was absent in Tap1a-OPT2. This enhanced potency arose through a slowed off-rate mechanism. Optimized inhibition of NaV channels observed in vitro translated in vivo, with reversal of nocifensive behaviours in a murine model of NaV-mediated pain also enhanced by Tap1a-OPT. Molecular docking studies suggested that improved interactions within loops 3 and 4, and C-terminal of Tap1a-OPT and the NaV channel voltage-sensor domain II were the main drivers of potency optimization. Overall, the rationally designed peptide Tap1a-OPT displayed new and refined structure-function features which are likely the major contributors to its enhanced bioactive properties observed in vivo. This work contributes to the rapid engineering and optimization of potent spider peptides multi-targeting NaV channels, and the research into novel drugs to treat neurological diseases.
Keywords: spider peptide, sodium channel, peptide engineering, rational design, optimization, neurological diseases, chronic pain, therapy
Introduction
Animal venoms are an exquisite source of bio-active peptides that modulate human neurophysiology. Spider venoms, in particular, are rich in inhibitory cysteine knot (ICK) peptides that often modulate voltage-gated ion channels in pain pathways (Cardoso et al., 2018; Cardoso and Lewis, 2018). These ICK peptides bind to the voltage-sensor domains of ion channels and modify their gating properties to open and close the ion-selective pore at non-conventional membrane potentials, and are hence named gating modifiers (Cardoso and Lewis, 2019). Amongst known spider gating-modifiers are potent modulators of voltage-gated sodium (NaV) channels such as the ProTx family, Df1a, Tap1a, Hm1a and Pn3a (Priest et al., 2007; Schmalhofer et al., 2008; Cardoso et al., 2015; Cardoso et al., 2017; Deuis et al., 2017; Cardoso et al., 2021), with a few simultaneously modulating the low-voltage T-type calcium (CaV3) channels (Bladen et al., 2014; Cardoso et al., 2017; Cardoso et al., 2021) and the voltage-gated potassium (KV) channels (Middleton et al., 2002).
The NaV channel family comprises nine subtypes (NaV1.1–NaV1.9) composed of an α-subunit associated with one or more auxiliary subunits β1 to β4 (Cardoso and Lewis, 2018). These channels are widely expressed in the central and peripheral nervous system, with subtypes NaV1.4 and NaV1.5 expressed in skeletal and cardiac muscles. Alterations in NaV channel function contribute to a range of neurological disorders including chronic pain, epilepsy, and motor neuron disease (Kubat Oktem et al., 2016; Catterall, 2017; Cardoso and Lewis, 2018; Saba et al., 2019; Cardoso, 2020). These alterations are presented as remodelling of the expression and excitability of the subtypes NaV1.1, NaV1.3, NaV1.6, NaV1.7, NaV1.8 and NaV1.9 (Cardoso and Lewis, 2018; Cardoso, 2020). Chronic visceral pain is a highly prevalent problem associated to irritable bowel syndrome (IBS) that affects 11% of the global population (Chey et al., 2015; Enck et al., 2016), and in which NaV channel subtypes were shown to participate via signalling visceral pain in IBS (Feng et al., 2015; Osteen et al., 2016; Erickson et al., 2018; Grundy et al., 2018; Salvatierra et al., 2018). Spider peptides targeting NaV channels have shown promising pre-clinical therapeutic effects in reverting some of these NaV-related complex conditions. For example, the peptides ProTx-II, HwTx-IV and Tap1a showed analgesic effects in painful diabetic neuropathy, spared nerve injury-induced neuropathy and chronic visceral pain (Liu et al., 2014; Tanaka et al., 2015; Flinspach et al., 2017; Cardoso et al., 2021), respectively, and the peptide Hm1a reduced seizures in Dravet syndrome (Richards et al., 2018).
Studies of the structure-function relationships of NaV-targeting spider peptides have guided the design of optimized leads with improved potency and selectivity for NaV channel subtypes (Cardoso and Lewis, 2019). Key residues involved in channel inhibition and selectivity and conserved amongst spider peptides of the same NaSpTx family have been unravelled (Klint et al., 2012; Cardoso and Lewis, 2019). For example, NaSpTx1 peptides often bind to the voltage-sensor domain II (VSDII) of NaV channels to engender ion channel inhibition, as observed for HwTx-IV (Xiao et al., 2008), CcoTx-1 (Shcherbatko et al., 2016), Df1a (Cardoso et al., 2017) and Hd1a (Klint et al., 2015). Studies using residue substitutions demonstrated the positions 5 or 6 in the loop 1 of these ICK structures are typically occupied by phenylalanine and are critical for NaV inhibition (Cardoso and Lewis, 2019). In addition, studies of activity optimization in NaSpTx1 peptides introduced a decrease in negative charge at the N-terminus (Minassian et al., 2013; Revell et al., 2013; Rong et al., 2013; Shcherbatko et al., 2016; Rahnama et al., 2017; Mueller et al., 2020), with such introduction also described to increase the ability of these peptides to bind to the cell membrane (Henriques et al., 2016; Mueller et al., 2020). At the C-terminal, residue modifications that enhanced NaV inhibition introduced positively charged and/or hydrophobic residues (Minassian et al., 2013; Revell et al., 2013; Shcherbatko et al., 2016). Although these optimized leads have shown enhanced in vitro pharmacology, the translation into improved benefits in vivo in pre-clinical models of pain remain to be achieved for these peptide leads (Cardoso et al., 2017; Agwa et al., 2020).
In this work, we investigated the structure-function relationships of the spider peptide Tap1a by using pharmacological studies with the VSDII of NaV1.1 and by evaluating the impact of alanine residue substitutions on the activity of Tap1a at NaV1.1 and NaV1.7. We designed two optimized versions of Tap1a based on the enhanced structure-function properties of other NaSpTx1 peptides and characterized their activities at NaV channels and their binding mode to VSDII. Finally, we investigated if the optimization of NaV inhibition observed in vitro translated in vivo in the reversal of nocifensive behaviours in a murine model of NaV-induced spontaneous pain. This work contributes to the understanding of the structure-function relationships and optimization of spider peptides targeting NaV channels, and the development of useful therapeutic leads with promising enhanced in vivo benefits for the treatment of neurological disorders.
Results
Tap1a Binds to VDSII S3–S4 Loop of NaV1.1
Spider peptides belonging to NaSpTx1 are known to bind to VSDII of NaV channels and induce gating-modifying effects that inhibit channel activation (Xiao et al., 2011; Cai et al., 2015). Tap1a displayed similar modulatory mechanism by inhibiting ion currents of the KV2.1/NaV1.1 VSDII chimera (Figure 1A) with a calculated IC50 value of approximately 185 nM (data not shown). Tap1a at 1 μM had weak effect on currents mediated by the wild type KV2.1 channel and reduced potassium currents by approximately 18% (area under the curve) (Figure 1B). These results suggested that the potent nanomolar inhibitory effects of Tap1a observed at the KV2.1/NaV1.1 VSDII chimera were due to its binding to the NaV1.1 VSDII S3-S4 loop. Non-transfected HEK293 cells had endogenous potassium currents measuring up to 0.3 nA that were not affected by Tap1a at up to 1 μM but were inhibited by 100 μM nifedipine (Figure 1C). Cells transfected with the chimera KV2.1/NaV1.1 VSDII produced potassium currents which were also sensitive to nifedipine at 100 μM (Supplementary Figure S1).
Structure-Function Properties of Tap1a Resemble NaSpTx1 Peptides
In order to determine the structure-function relationships of individual residues in Tap1a, we applied the structure-function knowledge for NaSpTx1 (Cardoso and Lewis, 2019) and designed twelve alanine mutants of Tap1a: M6A, F7A, P12A, D15A, S24A, D27A, Q28A, K31A, Y32A, Q33A, L34A and W35A, and produced these new mutants via recombinant expression (Supplementary Table S1; Supplementary Figure S2). The recombinant expression of these peptides was achieved successfully and produced a major single isomer purified for further testing (Supplementary Figure S2). The molecular weight of the purified recombinant peptides was verified and confirmed by mass spectrometry (Supplementary Table S1; Supplementary Figure S2).
Tap1a alanine mutants were evaluated via automated whole cell patch-clamp electrophysiology with activities determined for the subtypes NaV1.1 and NaV1.7 (Figures 1D–G and Table 1). Residues identified as critical for Tap1a inhibitory activity were M6, F7, P12, D15, S24, Q28, K31, Y32, L34 and W35 in which alanine substitutions led to weaker or complete loss of activity at up to 1 μM peptide tested. The substitution D27A induced partial loss of activity at NaV1.7 (4.3-fold decrease) and did not affect activity at NaV1.1 compared to Tap1a-WT. Interestingly, the substitution Q33A increased the Tap1a inhibitory activity for NaV1.1 by 1.8-fold (not statistically significant) and had nearly no effect on the inhibition of NaV1.7 compared to Tap1a-WT (1.2-fold decrease).
TABLE 1.
Peptide | NaV1.1 IC50 (nM) | NaV1.7 IC50 (nM) | ||||
---|---|---|---|---|---|---|
Mean | SEM | N | Mean | SEM | N | |
Tap1a-WT | 301 | 42 | 7 | 80 | 6 | 4 |
M6A | >1000 | n.a. | 4 | >1000 | n.a. | 3 |
F7A | >1000 | n.a. | 4 | >1000 | n.a. | 3 |
P12A | >1000 | n.a. | 4 | >1000 | n.a. | 3 |
D15A | >1000 | n.a. | 3 | >1000 | n.a. | 3 |
S24A | >1000 | n.a. | 3 | 920 | 79 | 5 |
D27A | 287 | 119 | 4 | 353 | 112 | 6 |
Q28A | >1000 | n.a. | 4 | >1000 | n.a. | 4 |
K31A | >1000 | n.a. | 4 | >1000 | n.a. | 3 |
Y32A | >1000 | n.a. | 3 | >1000 | n.a. | 5 |
Q33A | 163 | 54 | 5 | 99 | 4 | 5 |
L34A | >1000 | n.a. | 4 | >1000 | n.a. | 3 |
W35A | >1000 | n.a. | 3 | >1000 | n.a. | 8 |
The modulation of NaV1.1 and NaV1.7 by these alanine mutants affected the size of the Na+ peak current, and no alterations in the kinetics (tau) of fast inactivation were observed in the presence of these peptides under experimental conditions (data not shown). While Tap1a-WT displayed 3.7-fold preference for NaV1.7 over NaV1.1, the mutant D27A had 1.2-fold preference for NaV1.1 over NaV1.7, and Q33A had 1.6-fold preference for NaV1.7 over NaV1.1 (Figure 1F). The primary structure of Tap1a shows key residues for NaV-activity revealed from alanine scanning in the loops 1, 2 and 4 and the C-terminal regions (Figure 1G), while the three-dimensional model of Tap1a showed most of these residues clustered at one face of the peptide, while the residues P12, D15 and Q28 were located adjacent to this cluster (Figure 1H).
Optimized Tap1a Displayed Increased Potency for NaV Channels In Vitro
We designed and produced two optimized versions of the peptide Tap1a (Tap1a-WT) here named Tap1a-OPT1 and Tap1a-OPT2 (Figure 2). Our rational design focused on residue substitutions that warranted additional or new biochemical properties introduced to Tap1a-WT and were in line with the findings for the optimized peptides here named GpTx-1-OPT (Murray et al., 2015), HwTx-IV-OPT (Revell et al., 2013; Rahnama et al., 2017) and CcoTx-1-OPT (Shcherbatko et al., 2016). As a result of the rational design, Tap1a-OPT1 comprised the substitutions D1G, D2G, M6I, N13E, P19Y, K22V, R25K, D27H, Q28R, Y32W, Q33K, while Tap1a-OPT2 included the additional substitution F7A (Figures 2A–C). These newly designed peptides were successfully produced via recombinant expression and purified as described in Figures 2D–G.
The ability of Tap1a-OPT1 and Tap1a-OPT2 to inhibit NaV channels was measured via automated whole cell patch-clamp electrophysiology and their IC50 values determined for NaV1.1 to NaV1.7 channel subtypes (Figure 3; Table 2). Tap1a-OPT1 displayed a significant increase in potency for NaV1.1 and NaV1.7 (p = 0.0005 and p = 0.001, respectively), as well as for NaV1.2 (p = 0.01), NaV1.3 (p = 0.009) and NaV1.6 (p = 0.0003), and NaV1.4 (p < 0.00002) compared to Tap1a-WT, while no significant inhibition of NaV1.5 was observed at up to 1 μM (Figures 3A–D; Table 2). The substitution F7A in Tap1a-OPT1 produced Tap1a-OPT2 that displayed significant weaker NaV inhibition compared to Tap1a-OPT1 for NaV1.1 (p = 0.02) and NaV1.7 (p = 0.0002), NaV1.2 (p = 0.0007), NaV1.3 (p = 0.002) and NaV1.6 (p = 0.007) (Figures 3A–D; Table 2), while Tap1a-OPT2 did not significantly inhibit NaV1.4 and NaV1.5 at up to 1 μM (Figure 3C; Table 2). Nonetheless, Tap1a-OPT2 maintained significant enhanced inhibition of NaV1.1 (p = 0.0009), NaV1.3 (p = 0.01), NaV1.6 (p = 0.004) and NaV1.7 (p = 0.004) compared to Tap1a-WT (Figures 3A–D; Table 2).
TABLE 2.
NaV subtype | Tap1a WT | Tap1a OPT1 | Tap1a OPT2 | Ratio WT/OPT1 | Ratio WT/OPT2 | |||
---|---|---|---|---|---|---|---|---|
IC50 ± SEM (nM) | N | IC50 ± SEM (nM) | N | IC50 ± SEM (nM) | N | |||
NaV1.1 | 302 ± 43 | 7 | 17 ± 3* | 5 | 54 ± 9* , # | 4 | 18 | 6 |
NaV1.2 | 95 ± 22 | 5 | 5 ± 1* | 3 | 43 ± 5# | 6 | 18 | 2 |
NaV1.3 | 180 ± 62 | 3 | 6 ± 0.5* | 3 | 96 ± 9* , # | 4 | 27 | 2 |
NaV1.4 | >1000 | 4 | 100 ± 19* | 4 | >1000# | 4 | >10 | 1 |
NaV1.5 | >1000 | 3 | >1000 | 3 | >1000 | 4 | 1 | 1 |
NaV1.6 | 191 ± 28 | 8 | 4.6 ± 2.3* | 4 | 75 ± 11* , # | 4 | 41 | 3 |
NaV1.7 | 81 ± 7 | 4 | 3 ± 0.7* | 3 | 35 ± 2* , # | 4 | 27 | 2 |
Individual p values are described in the text.
Statistically significant compared to Tap1a-WT.
Statistically significant compared to Tap1a-OPT1.
Remarkable enhancement in inhibition by Tap1a-OPT1 was observed for the subtypes NaV1.1–NaV1.3, NaV1.6 and NaV1.7 with increases of 18 to 41-fold compared to Tap1a-WT (Table 2). Tap1a-OPT2 inhibited NaV channels similarly to Tap1a-WT and displayed 2- to 6-fold potency increase compared to Tap1a-WT. Interestingly, Tap1a-OPT2 displayed a more selective pharmacology away from the off-targets hNaV1.4 and hNaV1.5 compared to Tap1a-WT as observed by the remaining Na+ currents in the presence of these peptides tested at up to 1 µM (Figure 3C).
Enhanced Inhibitory Properties of Tap1a-OPT Occur via Decreased Off-Rate
The rates of modulation of hNaV1.1 and hNaV1.7 by Tap1a-WT and Tap1a-OPT1 were measured in the presence of 10x the IC50 for each NaV subtype (Figure 4). The on-rate evaluations revealed Tap1a-OPT1 produced a slight but significant increase in the on-rate for the hNaV1.1 subtype when compared to Tap1a-WT (Figure 4A and Table 3). Tap1a-OPT1 showed on-rate of 26 s at hNaV1.1 and was 1.9-fold faster than Tap1a-WT with on-rate of 48.4 s, and had a significant increase in Kon observed compared to Tap1a-WT. At hNaV1.7, Tap1a-OPT1 showed on-rate of 135 s and was 1.2-fold faster than Tap1a-WT with an on-rate of 163 s but not statistically significant (Figure 4B). Both Tap1a-WT and Tap1a-OPT1 produced statistically significant decreased Kon observed and faster on-rates to inhibit hNaV1.1 compared to hNaV1.7 (Figures 4A,B; Table 3). Tap1a-WT was 3.3-fold faster to inhibit hNaV1.1 compared to hNaV1.7, and Tap1a-OPT1 was 5.3-fold faster to inhibit hNaV1.1 compared to hNaV1.7.
TABLE 3.
Kon observed (s−1) | Kon (nM−1s−1) | Koff (s−1) | Kd (nM) | |
---|---|---|---|---|
hNaV1.1 | ||||
Tap1a-WT | 2.01 ± 0.1 × 10−2 † | 6.53 × 10–6 | 6.56 ± 0.32 × 10−4 | 3.16 × 10–2 |
Tap1a-OPT1 | 8.75 ± 0.8 × 10−2 * , # | ndb | irreversiblea | ndb |
hNaV1.7 | ||||
Tap1a-WT | 7.07 ± 1.2 × 10−3 | 6.52 × 10–6 | 8.46 ± 0.6 × 10–4 | 1.2 × 10–1 |
Tap1a-OPT1 | 8.60 ± 1.7 × 10−3 | ndb | irreversiblea | ndb |
Kon observed = 1/τon; kon = [(1/τon)–koff]/(ligand); koff = 1/τoff; Kd = koff /kon.
Statistically significant compared to Tap1a-WT Kon observed for NaV1.1, p = 0.0121.
Statistically significant compared to Tap1a-WT Kon observed for NaV1.7, p = 0.0061.
Statistically significant compared to Tap1a-OPT1 Kon observed for NaV1.7, p = 0.0012.
Koff is less than the lowest valid measurement under the experimental conditions.
nd = not determined.
The rates of dissociation of Tap1a-WT and Tap1a-OPT1 from hNaV1.1 and hNaV1.7 revealed Tap1a-OPT1 had a statistically significant decreased off-rate at both hNaV1.1 and hNaV1.7 subtypes compared to Tap1a-WT (Figures 4C,D; Table 3). While Tap1a-WT was washed off from hNaV1.7 with an off-rate of 19.7 min, Tap1a-OPT1 was nearly irreversible at the same experimental conditions and Koff was not able to be calculated. Similarly, the rates of dissociation from hNaV1.1 showed Tap1a-WT was washed off with an off-rate of 25.41 min, and Tap1a-OPT1 was nearly irreversible at the same experimental conditions. The irreversibility of hNaV1.1 inhibition by Tap1a-WT was more pronounced as per remaining Na+ currents measured at 30 min wash out and significantly higher than hNaV1.7 as described in Figure 4E.
Tap1a-OPT1 Displayed Improved Target Engagement and Therapeutic Effects In Vivo
To assess the efficacy of Tap1a-WT and Tap1a-OPT1 to inhibit NaV-induced nocifensive responses in vivo, we utilized a model of NaV1.7-mediated pain based on the intraplantar injection of the NaV1.7 activator OD1 (Deuis et al., 2016). Intraplantar injection of Tap1a-WT (WT, 1 μM) or Tap1a-OPT1 (OPT, 1 μM) significantly reduced OD1-induced spontaneous pain behaviors at the time points indicated (Figure 5A), albeit Tap1a-WT had a slower onset of action and was less effective compared to Tap1a-OPT1 (Figure 5B). In line with this, only Tap1a-OPT1 significantly reduced total pain behaviors, which is consistent with its improved potency at peripheral NaVs observed in vitro (cumulative flinches: control 181 ± 15; Tap1a WT 140 ± 10; Tap1a OPT1 72 ± 12; Figure 5B).
Interactions of Tap1a-WT and Tap1a-OPT With NaV1.7 and NaV1.4
The interactions of Tap1a-WT, Tap1a-OPT1 and Tap1a-OPT2 with NaV channels were predicted by molecular docking using HADDOCK webserver (van Zundert et al., 2016) (Figure 6). Potential interactions between Tap1a-WT and NaV1.7 VSDII revealed strong hydrogen bonds (h-bonds) with distances ranging from (in Å) 1.5 to 2.9 (Figures 6Ai,C; Supplementary Table S2). Most h-bond interactions occurred between the loop 4 and the C-terminal of Tap1a-WT and the S2 and S3–S4 loop of NaV1.7 VSDII. Hydrophobic interactions with distances ranging from (in Å) 3.4 to 3.9 were observed between loop 1 and the C-terminal of Tap1a-WT and the S2 and S3–S4 loop of NaV1.7 VSDII (Figures 6Aii,C; Supplementary Table S2).
The predicted interactions of Tap1a-OPT1 with NaV1.7 VSDII revealed h-bonds with distances ranging from (in Å) 1.7 to 3.1 (Figures 6Bi,C; Supplementary Table S2). These occurred at loops 3 and 4 and C-terminal of Tap1a-OPT1 binding to the S3 and S3–S4 loop of the NaV1.7 VSDII. Hydrophobic interactions with distances ranging from (in Å) 3.2 to 4.5 were also observed between loops 3 and 4 and C-terminal of Tap1a-OPT1 and S2 and S3–S4 loop of NaV1.7 VSDII (Figures 6Bii,C; Supplementary Table S2). In an experiment that docked Tap1a-WT over Nav1.7 DII using the optimization restrains, we observed loops 3 and 4 and C-terminal forming the strongest h-bonds and hydrophobic interactions with the S3–S4 loop of the NaV1.7 VSDII (Supplementary Table S2).
The electrostatic surface of Tap1a-WT and Tap1a-OPT1 were calculated, as well as the electrostatic interacting surface of these peptides with the NaV1.7 VSDII as represented in Figures 6D,E. The interacting surface of Tap1a-OPT1 was favoured via residues that simultaneously form stronger hydrophobic or h-bonds interactions and additional electrostatic interactions with NaV1.7 VSDII, such as W32 and K33. Some of the Tap1a-WT predicted interacting residues forming hydrophobic or h-bonds are negatively charged or neutral, such as D27 and Q33, respectively, and likely produce opposed forces and weaker interactions with the negatively charged exposed surface of NaV1.7 VSDII.
In order to predict interactions with NaV1.4 VSDII S3–S4 loop that could explain the loss of NaV1.4 inhibition by Tap1a-OPT2, we docked Tap1a-OPT1 and Tap1a-OPT2 over NaV1.4 (Supplementary Table S2). Our results showed F7 in Tap1a-OPT1 or A7 in Tap1a-OPT2 likely do not interact with NaV1.4 VSDII. Instead, we observed an overall weakening of hydrophobic interactions between Tap1a-OPT2 and NaV1.4 VSDII (Supplementary Table S2). The docking between Tap1a-WT and NaV1.4 using the alanine scanning results as restrains also showed a potential reduction in hydrophobic interactions, while F7 was in the non-interacting surface of the Tap1a and away from the ion channel (Supplementary Table S2).
Discussion
Venoms from species of spider, scorpion, cone snail and snake are unique cocktails of bioactive compounds with potential for novel drugs and therapies. These compounds range from small molecules to peptides and proteins, from which a few are approved and available for human use such as ziconotide derived from the ω-conopeptide MVIIA isolated from Conus magus and effective in the treatment of neuropathic pain (Deer et al., 2019), and captopril derived from proline-rich oligopeptides isolated from the Brazilian snake Bothrops jararaca and effective in the treatment of hypertension and congestive heart failure (Ferreira et al., 1970). While MVIIA was not required to undergo optimization to become ziconotide, the proline-rich oligopeptides derived from snake venom were optimized via structure-active relationship investigations that led to a small molecule derived from the terminal sulfhydryl moiety of these oligopeptides (Patlak, 2004). A number of venom-derived compounds have been investigated in pre-clinical trials (Pennington et al., 2018; Bordon et al., 2020) or are in more advanced stages of clinical trials such as chlorotoxin derivates for tumour painting in intraoperative visualization (Patil et al., 2019), and the ShK-186 analogue derived from the venom peptide ShK from sea anemone for the treatment of autoimmune diseases such as psoriatic arthritis and lupus (Pennington et al., 2015). These illustrate the exquisite potential of venom peptides and great feasibility of translation into novel therapeutics for human use.
Tap1a has Conserved Structure-Function Properties as the NaSpTx1 Family
Recent advancements in the understanding of the structure-function relationships of NaV-targeting spider peptides allows a refined rational design of novel optimized inhibitors for the development of drugs and therapies (Cardoso and Lewis, 2019; Cardoso, 2020). Poorly treated diseases in which NaV channels are proved to underly pathological processes, e.g., chronic pain, motor neuron disease and epilepsy, would benefit enormously from these novel optimized NaV-targeting molecules (Cardoso, 2020). The elucidation of the binding sites of spider-peptide inhibitors to NaV channels revealed they preferably bind to the VSDII S3-S4 loop of these channels to engender inhibitory effects (Bosmans et al., 2008; Xiao et al., 2008; Shcherbatko et al., 2016; Cardoso et al., 2017). In this work, we showed Tap1a engendered inhibition through alike mechanism via interactions with the VSDII S3–S4 loop of NaV1.1. This mechanism was investigated using a KV2.1/NaV1.1 VSDII channel chimera, and our results showed Tap1a at nanomolar concentration interacted with the NaV1.1 VSDII S3–S4 loop which is in line with our previous findings with the wild-type NaV1.1 channel α subunit associated to the β1 subunit (Cardoso et al., 2021).
Remarkable work elucidated the structure-function and/or optimized the spider peptides CcoTx-1 (Shcherbatko et al., 2016), HwTx-IV (Minassian et al., 2013; Revell et al., 2013; Rahnama et al., 2017) and GpTx-1 (Murray et al., 2015; Murray et al., 2016), all belonging to the NaSpTx1 (Klint et al., 2012). Besides, CcoTx-1 and HwTx-IV were previously shown to preferably bind to VSDII S3-S4 loop of NaV channels (Xiao et al., 2008; Xiao et al., 2010; Shcherbatko et al., 2016). The strong resemblance of mechanisms of action and structure-function properties of NaSpTx1 peptides encouraged studies of Tap1a, also in NaSpTx1 family, through select alanine scanning and guided rational design for the optimization of NaV-inhibitory properties.
In line with the NaSpTx1 family, Tap1a lost NaV inhibitory activity by individual alanine substitutions of hydrophobic residues located at the centre of loop 1 and at the C-terminal, P and D in loop 2 and S and Q in loop 4. Contrary to HwTx-IV, the alanine substitution of a Q at the C-terminal of Tap1a enhanced its activity for NaV1.1 and nearly did not alter its activity for NaV1.7, indicating that Tap1a still maintain intrinsic properties associated to its structure-function relationships and unique potency and selectivity for NaV subtypes. We suggested from our molecular docking studies that most of the Tap1a wild-type interactive surface is in the loop 4 and C-terminal, with fewer potential hydrophobic interactions in loop 1. In addition, the three-dimensional model of the Tap1a structure suggested the residues P12, D15 and Q28 were not located in the binding surface and this way are likely involved in the maintenance of Tap1a’s active structure. Experiments investigating the secondary and three-dimensional structures of Tap1a and derived analogues are essential to further elucidate the interactions between Tap1a and NaV channels.
Tap1a Binding Mode to NaV Channels is Broadly Conserved in NaSpTx Peptides
The binding mode of NaSpTx peptides to NaV channels has been studied in detail to unravel a conserved binding mechanism here named as “Lysin and Arginine electrostatic trap”. This mode uses strong electrostatic interactions driven by basic/positive charged lysin and arginine residues generally located in the loop 4 and C-terminal of a peptide that interacts with negatively charged residues such as glutamic acid and aspartic acid in S3–S4 loop of VSDII, and in which interactions are enhanced by vicinal hydrophobic interactions both within the channel and/or the cellular membrane. This has been shown in detail for NaSpTx1 peptides, including HwTx-IV (Wisedchaisri et al., 2021), GpTx-1 (Murray et al., 2016) and CcoTx-1 (Shcherbatko et al., 2016). For example, the binding of GpTx-1 to the hNav1.7 was studied by single substitutions and molecular docking, revealing the phenylalanine in loop 1 (F5) and the lysin in the C-terminal (K31) interacted with I767 in S2 and E811 of the S3–S4 loop of VSDII, respectively (Murray et al., 2016). In the present study, Tap1a wild-type showed a phenylalanine in loop 1 (F6) interacted with A766 in S2 and a lysin at the C-terminal (K31) interacted with E811 in the S3–S4 loop.
In Tap1a-OPT1, we hypothesized that these interactions were enhanced by the replacement of aspartic acid by lysin in position 33 which provided additional electrostatic interactions which are not present in the Tap1a wild-type. Similarly, in NaSpTx2 the peptide Pn3a showed interactions between K22 and K24 in loop 4 with the D816 and E818 in the S3–S4 segment predicted by molecular docking (Mueller et al., 2020). In NaSpTx-3, a similar mechanism was proposed for the peptide ProTx-II where R22 and K26 in loop 4 and C-terminal, respectively, interacted with E811 and D816 in S3–S4 loop of VSDII of hNaV1.7 (Xu et al., 2019). Overall, this conserved inhibition mechanism uses the insertion of positive charges often via lysin and arginine residues in the S3–S4 cleft of the VSDII to produce an electrostatic repulsion against S4 and the requirement for more positive potentials to induce the upward movement of S4 and the opening of the pore.
Although Cryo-EM and X-ray studies of NaV channels have disclosed their three-dimensional structure in detail, these were mostly performed with channels at the open-state in which the voltage-sensor S4 is upwards and the channel pore open (Pan et al., 2018; Pan et al., 2019; Shen et al., 2019; Pan et al., 2021; Wisedchaisri et al., 2021), or did not describe key residues in the loop S3–S4 of VSDII which are essential for peptide binding (Shen et al., 2019). We performed docking experiments with Tap1a-WT and Tap1a-OPT1 on these available channel structures, and the models that produced closer interactions between VSDII and Tap1a used the structure determined for the complex hNaV1.7 VSDII-ProTx-II (Xu et al., 2019), and the hNaV1.4 channel structure determined in complex with the β1 auxiliary subunit (Pan et al., 2018). Our findings with these channel structures are consistent with the structure-function relationship findings for other NaSpTx peptides (Cardoso and Lewis, 2019; Shen et al., 2019; Xu et al., 2019; Mueller et al., 2020; Wisedchaisri et al., 2021).
Tap1a was Optimized via SAR-Incorporation to Enhance Pharmacology In Vitro and Bioacivity In Vivo
Optimized NaV-targeting spider peptides display an increased affinity for the NaV α subunit and the cell membrane, and hence improved potency. It is known the reduction in negative charge at the N-terminal, loop 1 or loop 3 of spider peptides can improve NaV inhibition through an increase in affinity for the cell membrane (Henriques et al., 2016; Agwa et al., 2017). These occur in the NaSpTx1 and NaSpTx3 peptides (Cardoso and Lewis, 2019). In Tap1a-OPT1, the substitutions D1G and D2G at the N-terminal, D27H and Q28R at loop 4, and Q33K at the C-terminal likely increased its affinity for the cell membrane. These suggest that some residues could function by interacting with the cell membrane to initiate the binding process, and then by forming strong electrostatic interactions with the NaV α subunit leading to the final binding fit.
The activity kinetics observed in our study implies the optimization of NaV inhibition by Tap1a-OPT1 occurred via a significant slower off-rate, and this mechanism was conserved in both hNaV1.1 and hNaV1.7 subtypes. In a previous report, we demonstrated the enhancement of pharmacological NaV-inhibition by venom-derived bivalent ligand peptides produced via a similar slower off-rate mechanism that conferred improved potency at NaV1.4 (Peschel et al., 2020). Additional studies investigating lipids binding and ion channel interactions are essential to unravel if the slower off-rate is mediated via interactions with the NaV α subunit and/or via interactions with the cell membrane.
An interesting observation from this study was the key role of lysine residues in the loop 4 and C-terminal to the binding to VSDII S3–S4 loop and inhibition of Na+ currents. Tap1a-WT displayed strong h-bonds formed by K26 and K31 and NaV1.7 VSDII, while the substitution K31A led a loss of activity for hNaV1.1 and hNaV1.7. In Tap1a-OPT1, h-bonds were formed by K31 and the new K33 in the C-terminal. Similarly, a study with the optimized peptide m3-HwTx-IV and the NaV1.7 performed via Cryo-EM revealed K27 in loop 4 and K32 at the C-terminal as the main drivers of this inhibitory mechanism (Wisedchaisri et al., 2021). Besides forming strong h-bonds, lysin residues can effectively interact with lipids in the cell membrane as demonstrated in studies with the peptide ProTx-II (Henriques et al., 2016). The substitution of lysine residues by arginine in ProTx-II led to a loss of affinity for lipids, and the substitution E17K led to a significant increase in affinity for lipids. These observations further support the hypothesis that key residues in ICK peptides can function initially as lipid binders to facilitate the initial encounter with the ion channel and later as ion channel binders to reach the final fit and nanomolar inhibition of the channel activity.
Because Tap1a-OPT2 lost at least 10-fold activity for NaV1.4 but only 2-fold activity for NaV1.7 compared to Tap1a-OPT1, we suggest that the phenylalanine residue in loop 1 of Tap1a-OPT1 is critical for an effective binding to NaV1.4. A study with GpTx-1 showed a similar trend for the analogue GpTx-F5A that showed 2.5-fold loss activity for NaV1.7 and 32.5-fold loss of activity for NaV1.4, and structural changes in K31 and Y32 (Lawrence et al., 2019). Interestingly, the analogue Tap1a-F7A completely lost its inhibition for NaV1.1 and NaV1.7 at up to 1 μM. Based on these observations, we suggest the phenylalanine in loop 1 is critical for the affinity of NaSpTx1 peptides for NaV1.4, while the affinity of NaSpTx1 peptides for NaV1.7 is less dependent on this residue. We must also consider the likeliness of structural changes Tap1a-F7A and Tap1a-OPT2 mutants, as observed for GpTx-1 F5A, which can allosterically affect the binding of vicinal residues to the ion channel. Further experiments via nuclear magnetic resonance to determine the three-dimensional structure of Tap1a and its derived analogues are essential to test this hypothesis.
The translation of the pharmacology optimized in vitro to enhanced bioactive effects in vivo has challenged studies with spider peptides targeting NaV channels. For example, optimization of HwTx-IV towards lipid bilayers binding and NaV inhibition did not result in the enhancement of bioactivity in vivo compared to HwTx-IV wild type (Agwa et al., 2020). In another study, the enhancement of NaV inhibition observed in vitro by the addition of C-terminal amide to the spider peptide Df1a did not translate in enhanced in vivo effects (Cardoso et al., 2017). These studies suggest the C-terminal amidation could be associated to an enhancement in lipids affinity only and that this may not be sufficient to produce efficient inhibitory effects in vivo such as the interactions with the ion channel. In this present study, the rational optimization of Tap1a generating Tap1a-OPT1 produced a new therapeutic lead with remarkable and significant increase in bioactive effects in vivo compared to the Tap1a wild type. In addition, we designed Tap1a-OPT2 with selectivity away from NaV off-targets and greater potential to provide lesser side effects in more complex animal models of diseases. Such results are very encouraging and can guide the rapid optimization of other peptide NaV inhibitors to produce leads with useful improved in vivo therapeutic effects.
Conclusions and Perspectives
Research for the development of novel drugs to tackle unmet needs in complex neurological diseases has progressed significantly in the last few years. Advancements in the understanding of disease mechanisms (Cardoso, 2020) and the structure function properties of key ion channel drug targets (Cardoso and Lewis, 2019; Mueller et al., 2020; Wisedchaisri et al., 2021) have provided key support for this progress. Although a significant number of ion channel modulators are available (Cardoso et al., 2018; Cardoso and Lewis, 2018), spider peptides have exceled in their therapeutic potential as proved by academic and industry research.
Spider peptides interact with the extracellular domains of voltage-gated ion channels and allosterically alter the channel conformation to facilitate (activator) or impede (inhibitor) the upward movement of voltage-sensor segments and the opening of the ion-selective pore. This modulatory mechanism is useful in the context of diseases with pathologies underlay by NaV-mediated dysfunctional neuronal signalling as observed for chronic visceral pain in IBS. For example, the spider peptide Hm1a, an allosteric activator of NaV1.1, produced chronic visceral pain-like symptoms in mice (Osteen et al., 2016), and the spider peptide Tap1a, an allosteric inhibitor of NaV channels, reversed chronic visceral pain mediated by NaV hyperfunction (Cardoso et al., 2021).
By applying the available structure-function relationship findings for spider peptides, we were able to rapidly produce an optimized spider peptide with enhanced in vitro pharmacology and enhanced in vivo bioactive effects. We observed this optimization produced a significant structure-function relationship improvement that likely generated a new and more efficient binding mode to the NaV channel. The exact mechanisms through which this beneficial enhancement was achieved are still not fully clear, and we hypothesized it involved a combination of optimized interactions with the ion channel via the conserved “lysine and arginine electrostatic trap”, as well as with the lipidic cell membrane.
As perspectives from this work, further studies with chemically synthesized Tap1a analogues with C-terminal amide and non-natural amino acids to explore the chemical space available, the determination of their three-dimensional structure and binding sites on NaV channels, along the evaluation of novel peptide leads in more relevant pre-clinical models of neurological diseases will expand this study to further support the research into novel therapeutics to treat complex neurological disorders.
Materials and Methods
Animals
For behavioral assessment we used adult male C57BL/6J mice aged 6–10 weeks. Mice were housed in groups of 4 per cage, under 12 h light-dark cycles and had standard rodent chow and water ad libitum. Ethical approval for in vivo experiments was obtained from the University of Queensland animal ethics committee. All experiments were conducted in accordance with the International Association for the Study of Pain Guidelines for the Use of Animals in Research, and the Australian Code of Practice for the Care and Use of Animals for Scientific Purposes, 8th edition (2013, updated 2021).
Cell Culture
HEK293 cells were cultured in Dulbecco’s MEM supplemented with 10% FBS, 100 U.ml−1 penicillin and 100 μg.ml−1 streptomycin. HEK293 cells stably expressing recombinant hNaV subtypes and the β1 auxiliary subunit (SB Drug Discovery, Glasgow, United Kingdom) were cultured in Minimal Essential medium (MEM) (Sigma-Aldrich, MO, United States) supplemented with 10% FBS, 100 U.ml−1 penicillin, 100 μg.ml−1 streptomycin, 2 mM L-glutamine, and variable concentrations of blasticidin, geneticin and zeocin according to manufacturer’s instructions. All cells were maintained at 37°C in a humidified 5% CO2 incubator, and subcultured every 3–4 days in a ratio of 1:5 using 0.25% trypsin/EDTA.
Patch-Clamp Electrophysiology of NaV1.1/KV2.1 Chimeric Channel
The plasmid constructs containing the voltage sensor extracellular domains II of the NaV1.1 channel inserted into the KV2.1 channel was kindly provided by Prof Frank Bosman from the Department of Basic and Applied Medical Sciences, Ghent University, Belgium (Osteen et al., 2016). The NaV1.1/KV2.1 chimera was subcloned into the mammalian vector pCDNA3.1 and new constructs confirmed by DNA sequencing. Plasmid constructs were used to transfect HEK293 cells using the FuGENE reagent as previously described (Hasan et al., 2020). Briefly, HEK293 cells were transfected with 18 μg DNA using a ration of DNA:FuGENE at 1:3 and transfection media replaced with fresh media after 16 h incubation at 37°C 5% CO2. After 48 h transfection, cells were used in the electrophysiology assays in the automated whole-cell patch clamp system QPatch 16X (Sophion Bioscience).
The extracellular solution comprised 140 NaCl, 5 KCl, 10 CaCl2, 2 MgCl2, 10 glucose and 10 HEPES at pH 7.4 and 320 mOsm. The intracellular solution comprised (in mM) 150 KCl, 1 MgCl2, 4 NaCl, 0.5 EGTA and 10 HEPES at pH 7.4 and 320 mOsm. Cells were maintained at a holding potential –90 mV and K+ currents elicited by +20 mV pulse for 500 ms followed by –40 mV pulse for additional 500 ms. Tap1a-WT was added at increasing concentrations from 1.4 nM to 1 μM, while nifedipine was added at a single concentration of 100 μM. Electrophysiological data were analyzed using QPatch Assay Software v5.6 (Sophion Bioscience).
Patch-Clamp Electrophysiology of NaV Channels
NaV channels currents were recorded from HEK293 cells expressing human NaV subtypes co-expressed with the β1 auxiliary subunit (SB Drug Discovery) using the automated whole-cell patch clamp system QPatch 16X (Sophion Bioscience A/S, Ballerup, Denmark). The extracellular solution comprised (in mM) 1 CaCl2, 1 MgCl2, 5 HEPES, 3 KCl, 140 NaCl, 0.1 CdCl2, 20 TE A-Cl, at pH 7.3 and 320 mOsm. The intracellular solution comprised (in mM) 140 CsF, 1/5 EGTA/CsOH, 10 HEPES, 10 NaCl at pH 7.3 and 320 mOsm.
Cells were maintained at a holding potential –80 mV and Na+ currents elicited by 20 ms voltage steps to 0 mV from a –120 mV conditioning pulse applied for 200 ms. Voltage-activation relationships were obtained by measuring steady-state Na+ currents elicited by step depolarizations from –110 to +80 mV using 5-mV increments. The peak conductance (G Na) was calculated from G = I/(V–V rev), where I, V and V rev represent the current value, membrane potential, and reversal potential, respectively. The voltage of steady-state fast inactivation was estimated using a double-pulse protocol with currents elicited by a 20 ms depolarizing potential of 0 mV from a 500 ms pre-pulse to potentials ranging from –130 to –10 mV using 10-mV increments.
To obtain concentration–response curves, cells at holding potential were incubated for 5 min with increasing concentrations of Tap1a-OPT1 and Tap1a-OPT2. The voltage-dependence of activation and inactivation were determined either in the absence or following 5-min exposure to Tap1a-OPT1 at the respective IC50 concentration. For on-rate experiments, Na+ currents were measured at 15 s intervals over 15 min immediately following the addition of peptide at a concentration equivalent to 10 times their IC50 for the NaV subtype being analysed. For off-rate measurements, cells were incubated with peptide for 10 min at a concentration equivalent to 10 times their IC50 for the NaV subtype being analysed, and Na+ currents were assessed at 10-s intervals during saline washes. The k on, k off and K d values were calculated using K d = k off/k on (nM), where k off = 1/τoff (s−1) and k on=[(1/τon)−Koff]/(Maertens et al., 2006) (nM−1S−1). Data were analysed using Assay software (Sophion Biosciences) and Na+ currents (I Na) plotted as I/Imax.
Alanine Scanning of Tap1a
Alanine substitutions in the primary sequence of Tap1a were made based in structure-activity relationship (SAR) studies of other spider peptides belonging to NaSpTx1 (Cardoso and Lewis, 2019). The alanine mutants were produced using the QuikChange Lightning site-directed mutagenesis kit and the Tap1a-pLICC plasmid construct as directed by the manufacturer (Agilent, CA, United States).
Briefly, primers containing the substitutions M6A, F7A, P12A, D15A, S24A, D27A, Q28A, W29A, K31A, Y32A, Q33A, L34A and W35A were designed and used in polymerase chain reactions (PCR) to generate alanine mutants. After digestion with the restriction enzyme DpnI to eliminate the Tap1a wild-type construct from the reaction, the newly synthesized mutants were transformed into E. coli strain DH5-α and plated in LB agar containing 100 μg.ml−1 ampicillin, 80 μg.ml−1 X-gal and 20 mM IPTG. White colonies were collected, and plasmid DNA extracted using QIAprep Spin Miniprep kit (QIAGEN, Hilden, DEU) as directed by the manufacturer. The new Tap1a-alanine mutants constructs were confirmed by DNA sequencing.
Rational Design of Optimized Tap1a
The rational design of Tap1a used the available information on the structure-activity relationship (SAR) studies of other spider peptides belonging to NaSpTx1 (Cardoso and Lewis, 2019) (Figure 3A). The following substitutions to the primary sequence of Tap1a were made to create Tap1a-OPT1: D1G, D2G, M6I, N13E, P19Y, K22V, R25K, D27D, Q28R, Y32W and Q33K. Synthetic gene encoding Tap1a-OPT1, with codons optimized for expression in E. coli, was produced and subcloned into the pLICC vector by GeneArt (Life Technologies, CA, United States). The Tap1a-OPT2 expression plasmid was generated by the replacement F7A in Tap1a-OPT1 using the QuikChange Lightning site-directed mutagenesis kit as described above. The new Tap1a-OPT2 construct was confirmed by DNA sequencing.
Production of Recombinant Peptides
The peptide mutants were produced using the QuikChange Lightning site-directed mutagenesis kit and the Tap1a-pLICC plasmid construct as directed by the manufacturer (Agilent, CA, United States) with codons optimized for expression in Escherichia coli and subcloned into the pLICC vector by GeneArt (Life Technologies, CA, United States). This expression vector contains a MalE signal sequence for periplasmic export, a His6 tag fused to the maltose binding protein (MBP), and a tobacco etch virus (TEV) protease recognition site preceding the peptide gene. Peptide expression was performed as described previously (Cardoso et al., 2015).
Briefly, plasmids were transformed into the protease-deficient E. coli strain BL21 (DE3), then cells were cultured at 37°C in Luria-Bertani medium. Peptide expression was induced at OD600 = 1 with 0.5 mM isopropyl β-D-1-thiogalactopyranoside (IPTG), then cells were harvested after 16 h at 16°C and pelleted by centrifugation for 20 min at 10,000 rpm. Cells were lysed using FastBreak lysis buffer (Promega, WI, United States) containing 0.2 mg.ml−1 lysozyme and 10 U.ml−1 DNAse.
The fusion protein was captured by passing the cell lysate through a NI-NTA resin (Sigma-Aldrich, Aldrich, MO, United States), then the His6-MBP-toxin fusion protein was eluted with 500 mM imidazole in TN buffer (25 mM Tris, 150 mM NaCl, pH 8). After desalting, the purified fusion protein was cleaved with TEV protease, then the peptide was purified using RP-HPLC performed using an Ultimate 3000 LC system (Dionex, Sunnyvale, CA, United States) with a C18 column (Vydac 4.6 mm × 250 mm, 5 μM). The peptide was eluted using a gradient of 10–50% solvent B in Solvent A, using a flow rate of 0.7 ml.min−1. Peaks were collected at 0.7 ml per well, then fractions lyophilized and stored at –20°C.
OD1-Induced Spontaneous Pain
The NaV1.7 activator OD1 (300 nM) was diluted in saline/0.1% BSA and administered by intraplantar injection into the left hind paw of adult (6–10 weeks) male C57BL/6 mice under light isoflurane (4%) anesthesia as previously described (Cardoso et al., 2015; Deuis et al., 2016). Tap1a WT (1 μM) or Tap1a OPT (1 μM) were co-administered by intraplantar injection with OD1. Immediately after injection mice were placed in polyvinyl boxes (10 × 10 × 10 cm), and spontaneous pain behaviors, which included flinching, licking, and shaking of the injected hind paw, were recorded by video and later counted by a blinded observer unaware of the treatment each individual mouse received.
Molecular Docking
The molecular docking of Tap1a-WT and Tap1a-OPT1 over the hNaV1.7 VSDII was performed using HADDOCK2.4 (van Zundert et al., 2016) and visualized and analyzed using PyMol (DeLano, 2002). The Tap1a-WT, Tap1a-OPT1 and Tap1a-OPT2 molecular models were produced using as template the NMR structure of the tarantula toxin μ-TRTX-Pre1a-W7A (PDB 512P, unpublished results, 71.4% identity with Tap1a-WT), and models generated in SWISS-MODEL (Arnold et al., 2006).
For the molecular docking experiments over hNaV1.7, the cryo-EM structure of the chimera hNaV1.7VSDII-NaVAb on its deactivated state and S4 downwards was used (PDB 6N4R) (Xu et al., 2019). Residues involved in the bioactivity of Tap1a-WT for NaV1.7 channels determined using an alanine scanning (M6, F7, P12, D15, S24, D27, Q28, K31, Y32, Q33, L34 and W35) or rational optimization (G1, G2, I6, E13, Y19, V22, K25, H27, R28, W32 and K33) were used as restrains. Additional restrains were applied at F812, D815 and E817 located in the NaV1.7 VSDII S3-S4 loop which were previously described to participate in the interactions with spider peptides (Xiao et al., 2008; Xiao et al., 2010).
For the molecular docking experiments over hNaV1.4, the cryo-EM structure of the human Nav1.4 was used (PDB 6AGF) (Pan et al., 2018). Modified residues in the sequences of Tap1a-OPT1 (G1, G2, I6, E13, Y19, V22, K25, H27, R28, W32 and K33) and Tap1a-OPT2 (OPT1 plus A7) were used as restrains. Additional restrains were applied at N661 and Q663 located in the NaV1.4 voltage-sensor domain II S3–S4 loop and previously described to participate in the interactions with spider peptides (Xiao et al., 2008; Xiao et al., 2010).
The HADDOCK cluster result displaying the most negative HADDOCK Z-score was selected for further analysis. H-bond interaction distances in Å were calculated automatically in Pymol, while hydrophobic interaction distances were calculated manually in Pymol using as criteria the closest distance between the carbons located in the side chains. The electrostatic surface potential of Tap1a-WT, Tap1a-OPT1 and hNav1.7 DII were calculated using the linearized Poisson-Boltzmann equation through the APBS Electrostatics plugin for PyMol (Dolinsky et al., 2004).
Data Analysis
For the in vitro electrophysiological recordings, curve fitting was performed using GraphPad Prism Version 8 (GraphPad Software, San Diego, CA, United States) using nonlinear regression with log-inhibitor versus normalized response and variable Hill slope for dose-responses and IC50 determination, and exponential one-phase association and dissociation for on and off-rate analysis, respectively. Potencies expressed in IC50 values were compared amongst Tap1a-WT, Tap1a-OPT1 and Tap1a-OPT2 using multiple t-student test with Welch correction. The kinetics of interaction and dissociation were compared amongst Tap1a-WT, Tap1a-OPT1 and Tap1a-OPT2 using Mann-Whitney test. Data are mean ± SEM, n = number of individual cells recorded. For the in vivo experiments, statistical significance was determined by one-way ANOVA with Dunnett’s post-test and data was presented as mean ± SEM, n = 4 per mice per group.
Acknowledgments
The authors kindly thank Prof Frank Bosmans from the Department of Basic and Applied Medical Sciences, Ghent University, Belgium, for providing the plasmid construct of the NaV1.1/KV2.1 chimera. The FP7 WeNMR (project# 261572), H2020 West-Life (project# 675858) and the EOSC-hub (project# 777536) European e-Infrastructure projects are acknowledged for the use of their web portals, which make use of the EGI infrastructure with the dedicated support of CESNET-MetaCloud, INFN-PADOVA, NCG-INGRID-PT, TW-NCHC, SURFsara and NIKHEF, and the additional support of the national GRID Initiatives of Belgium, France, Italy, Germany, Netherlands, Poland, Portugal, Spain, United Kingdom, Taiwan and the US Open Science Grid.
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
Ethics Statement
The animal study was reviewed and approved by The University of Queensland animal ethics committee. All experiments were conducted in accordance with the International Association for the Study of Pain Guidelines for the Use of Animals in Research, and the Australian Code of Practice for the Care and Use of Animals for Scientific Purposes, 8th edition (2013, updated 2021).
Author Contributions
Conceptualization: FC; Funding acquisition: FC and RL; Performed experiments and analysis: HH, SM, TZ, JD, SJ, and FC; Wrote the manuscript: FC; All authors revised and edited the manuscript.
Funding
This work was supported by the Australian National Health and Medical Research Council (NHMRC) Ideas Grant GNT1188959 (to FC and RL) and NHMRC Program Grant APP1072113 (to RL). FC was supported by The University of Queensland. JD, RL, and IV were supported by research fellowships from the Australian National Health and Medical Research Council (APP1162503, APP1119056, and APP1139961, respectively).
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmolb.2021.742457/full#supplementary-material
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