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Australian Journal of Chemistry Australian Journal of Chemistry Society
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RESEARCH ARTICLE (Open Access)

Proline hydroxylation and C-terminal amidation in µ-conotoxins increase structural stability and potency at sodium channels

Victoria A. Adegoke A , Yashad Dongol B , Tye Gonzalez A , Angela Song A , Richard J. Clark A , Richard J. Lewis https://orcid.org/0000-0003-3470-923X B , Anne C. Conibear https://orcid.org/0000-0002-5482-6225 A C * and K. Johan Rosengren A *
+ Author Affiliations
- Author Affiliations

A School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Saint Lucia, Qld 4072, Australia.

B Institute for Molecular Bioscience, The University of Queensland, Saint Lucia, Qld 4072, Australia.

C Institute of Applied Synthetic Chemistry, Faculty of Technical Chemistry, TU Wien, Getreidemarkt 9, A-1060 Vienna, Austria.


Handling Editor: Mibel Aguilar

Australian Journal of Chemistry 78, CH25071 https://doi.org/10.1071/CH25071
Submitted: 30 April 2025  Accepted: 22 July 2025  Published online: 2 September 2025

© 2025 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC)

Abstract

Conotoxins are disulfide-rich peptides isolated from the venoms of marine cone snails. These natural products have inspired the development of several drug candidates and novel therapeutic leads. In addition to disulfide bonds, many conotoxins are highly modified with posttranslational modifications (PTMs) such as proline hydroxylation, C-terminal amidation and glycosylation, among others. These modifications can alter the charge, size and hydrophobicity of the conotoxin, influencing its interaction with target receptors and modulating its potency and selectivity. PTMs can also affect the folding kinetics and conformational stability of the peptide, which further affects its biological activity. Although conotoxins undergo a variety of PTMs, the functions of many of these modifications remain unclear. Here, we explored the structural and functional implications of PTMs in two representative conotoxins, PIIIA and TIIIA of the µ-pharmacological family. We synthesised a series of PIIIA and TIIIA peptides bearing native hydroxyproline and C-terminal amidation PTMs, along with their unmodified counterparts. Solid phase peptide synthesis and non-selective disulfide bond formation provided access to pure forms of the eight possible variants for in vitro comparison of their oxidative folding. Structural studies using nuclear magnetic resonance (NMR) spectroscopy, alongside electrophysiological and serum stability assays, were conducted to characterise the functional roles of the PTMs in these conotoxins. Our results suggest that, whereas C-terminal amidation has a crucial role in folding and structural integrity, proline hydroxylation significantly influences the in vitro oxidative folding, stability and biological activity of these conotoxin peptides.

Keywords: C-terminal amidation, µ-conotoxins, nuclear magnetic resonance spectroscopy, oxidative folding, posttranslational modification, proline hydroxylation, sodium channels, solid phase peptide synthesis, structure–function relationship.

Introduction

Conotoxins are peptides derived from the venom of marine cone snails (genus Conus) and represent a rich and diverse source of bioactive compounds. These venoms are used by the cone snails to defend themselves, deter competitors and capture their prey. A single injection of venom often contains over 1000 bioactive peptides.13 Owing to their remarkable specificity and potency in modulating ion channels, receptors and other extracellular targets, these peptides have garnered significant interest as valuable tools for pharmacological research and as potential therapeutic agents. Conotoxins can be categorised in three ways: classification according to their gene superfamily, pharmacological families or cysteine framework.46 Within the diverse pharmacological families of conotoxins, µ-conotoxins stand out for their remarkable ability to selectively inhibit voltage-gated sodium channels (Nav). Typically comprising 12–24 amino acid residues, the µ-conotoxins are among the most prevalent and well-characterised conotoxins.7 Their disulfide-rich structures feature a conserved six-cysteine framework (CC–C–C–CC) with a native connectivity pattern of C1–C4, C2–C5 and C3–C6 (Fig. 1).8 The cysteine framework significantly enhances their structural stability, making them valuable tools for pharmacological research and for potential therapeutic applications.911 The specificity in targeting Nav channel subtypes, such as Nav1.7, which is closely linked to pain pathways, underscores their potential in the development of analgesics.12 Studies have also demonstrated that µ-conotoxins can effectively block the pore of Nav channels from the extracellular side, thereby inhibiting sodium ion flow and altering neuronal excitability.13 This mechanism positions µ-conotoxins as promising candidates for treating conditions such as epilepsy and chronic pain, where selective sodium channel modulation is critical.11,14

Fig. 1.

Conotoxin PIIIA is a component of the venom of marine cone snails. The amino acid sequence of PIIIA is presented (pyroglutamic acid = Z, hydroxyproline = O), with cysteine residues in yellow and disulfide connectivities shown as lines. The lower panel shows the chemical structures of posttranslational modifications (PTMs) in PIIIA and many other members of the µ-conotoxin family.


CH25071_F1.gif

The functional diversities and potencies of µ-conotoxins are not solely attributed to their primary sequences but are significantly influenced by posttranslational modifications (PTMs). PTMs are modifications to amino acids that are not explicitly encoded in the gene associated with a peptide.15,16 Such modifications, in addition to the formation of disulfide bonds, are abundant and diverse in conotoxins and can be crucial for regulating their structures, stabilities and pharmacological properties. These PTMs include glycosylation, hydroxylation, oxidation, cysteine modifications and γ-carboxylation, among others (Fig. 1).4,17 The specific PTMs that conotoxins undergo vary depending on their target ion channels or receptors. For instance, most µ-conotoxins, which target Nav channels, undergo C-terminal amidation, whereas proline hydroxylation in µ-conotoxins is less prevalent. Both PTMs have been found to have crucial roles in the stabilities and potencies of these conotoxins at sodium channels.18,19

Proline hydroxylation is a PTM that involves the enzymic addition of a hydroxyl group to the beta or gamma carbon of a proline residue, converting it into hydroxyproline (one-letter code ‘O’).15,20 In mammalian systems, prolyl 4-hydroxylase (PH4) catalyses this modification; however, the enzyme responsible for proline hydroxylation in cone snails remains uncharacterised. Hydroxyproline residues and their stereochemistry have a crucial role in conotoxins by influencing peptide conformation, stability and oxidative folding, which are essential for their biological activity and target interactions.21,22 For instance, the incorporation of hydroxyproline into α-conotoxins has been associated with enhanced binding affinity and specificity for receptors involved in neuromuscular signaling,23 as well as improved in vitro oxidative folding and stability of certain conotoxins.18

C-terminal amidation, another important PTM in conotoxins, is primarily catalysed by the enzyme peptidylglycine α-amidating monooxygenase (PAM), also known as peptidyl glycine hydroxylase (PHM), which plays a vital role in the biosynthesis and activity of many bioactive peptides. Additionally, it prevents degradation by exopeptidases and increases the activity of conotoxins at their target receptors, influencing their interactions with binding partners.24,25 This modification has been shown to affect the analgesic properties of certain conotoxins, highlighting its significance in modulating their biological effects and to cause slight conformational changes at the C-terminus of α-conotoxins.26,27 To our knowledge, no µ-conotoxin lacking the C-terminal amide has been structurally or functionally characterised in the literature.

In this work, we investigated the role of proline hydroxylation and C-terminal amidation in the folding, structure, stability and activities of two µ-conotoxins, PIIIA and TIIIA, belonging to the M gene superfamily and the µ-pharmacological family. Both µ-conotoxins are known for their ability to selectively target and inhibit Nav channels. PIIIA additionally has an N-terminal pyroglutamic acid modification (one-letter code ‘Z’), which was included, but not explicitly investigated in this study. Variants of the µ-conotoxins with and without native hydroxyproline and C-terminal amidation PTMs were synthesised and their in vitro oxidative folding and disulfide bond formation were compared. The role of the PTMs in their structures was investigated using NMR spectroscopy, and serum stability assays were conducted to determine the functional role of these PTMs in the conotoxins. Additionally, activities of the PIIIA and TIIIA variants were measured on three human voltage-gated sodium channel subtypes, Nav1.2, Nav1.4 and Nav1.7 human sodium channels (hNav) using electrophysiology. These studies showed that C-terminal amidation and proline hydroxylation influence the in vitro oxidative folding, overall structure, stability and bioactivity of the µ-conotoxins PIIIA and TIIIA. In addition to extending our understanding of the intrinsic structures and activities of these µ-conotoxins, this study underscores the significance of conotoxins as valuable model peptides for elucidating the individual and combined effects of PTMs.

Results

Peptide synthesis, purification and oxidative folding

Using solid phase peptide synthesis, we synthesised four variants each of the PIIIA and TIIIA peptides with and without the two native hydroxyproline PTMs and C-terminal amidation (Table 1) and purified the respective reduced forms. The peptides were then subjected to undirected oxidative folding, a method previously shown to be effective for the formation of three disulfide bonds in native PIIIA and TIIIA peptides.28,29 Oxidation of the native PIIIA and TIIIA variants bearing hydroxyproline PTMs and C-terminal amidation, and their proline counterparts (Pro8,18)PIIIA and (Pro8,18)TIIIA, resulted in the formation of multiple disulfide isomers; however, these could be separated by RP-HPLC and analysed by NMR spectroscopy to confirm folding. Oxidation of the acid variants (lacking C-terminal amidation) of the PIIIA and TIIIA peptides with and without hydroxyproline PTMs (PIIIA-OH, (Pro8,18)PIIIA-OH, TIIIA-OH and (Pro8,18)TIIIA-OH)) was attempted using similar conditions. Although several products were isolated by RP-HPLC, the NMR data of all isomers suggested misfolded peptides. Consequently, a range of oxidising conditions were explored2935 but the NMR data of all purified isomers indicated misfolded peptides, as evidenced by poor dispersion of amide signals, multiple conformations and non-native disulfide connectivities, despite the mass spectra confirming the formation of three disulfide bonds. We therefore proceeded to compare the hydroxyproline- and proline-containing variants of each of the conotoxins PIIIA and TIIIA bearing the C-terminal amidation.

Table 1.Sequences and nomenclature of the µ-conotoxin peptide variants synthesised in this study.

PeptideSequence
PIIIA (native)CH25071_FX1.gif
(Pro8,18)PIIIACH25071_FX2.gif
PIIIA-OHCH25071_FX3.gif
(Pro8,18)PIIIA-OHCH25071_FX4.gif
TIIIA (native)CH25071_FX5.gif
(Pro8,18)TIIIACH25071_FX6.gif
TIIIA-OHCH25071_FX7.gif
(Pro8,18)TIIIA-OHCH25071_FX8.gif

Z, Pyroglutamic acid; O, Hydroxyproline.

To compare the oxidation kinetics of the C-terminal amidated PIIIA and TIIIA µ-conotoxin variants with and without hydroxyproline PTMs, the oxidative folding reaction mixture was sampled at selected timepoints over 24 h, followed by quenching with 4% TFA in water. The RP-HPLC traces were recorded and compared to those of the corresponding pure reduced form and the oxidised form with the desired native disulfide connectivity as identified by NMR spectroscopy (Fig. 2 and Supplementary Fig. S1). The PIIIA and (Pro8,18)PIIIA peptides showed similar folding rates and both produced several disulfide isomers of the fully oxidised products, as confirmed by mass spectrometry. However, as confirmed by NMR spectroscopy, the native PIIIA peptide yielded a higher proportion of the correctly folded isomer (C1–C4, C2–C5 and C3–C6) compared to the unmodified (Pro8,18)PIIIA, which showed more isomers with non-native disulfide connectivities. The oxidative folding of the TIIIA hydroxyproline and proline variants occurred much faster than that of the PIIIA counterparts. Interestingly, we observed that the isomer with the native disulfide connectivity in the hydroxyproline-containing TIIIA takes longer to appear than for the (Pro8,18)TIIIA variant; however, the hydroxyproline-containing TIIIA peptide had better separation of the isomers, making it easier to isolate the correctly folded isomer. Taken together, these results suggest that proline hydroxylation as a PTM facilitates the in vitro oxidative folding and correct disulfide pairing of both the PIIIA and TIIIA µ-conotoxins.

Fig. 2.

In vitro oxidative folding of µ-conotoxin variants with and without native hydroxyproline PTMs. RP-HPLC traces depicting the time-course of oxidative folding are shown with a 2-min offset on the x-axis between the time points. The fully oxidised form with the desired disulfide connectivity is marked with an asterisk (*). Full RP-HPLC traces are shown in Supplementary Fig. S1.


CH25071_F2.gif

NMR spectroscopy of the µ-conotoxin variants

The three-dimensional structures of µ-conotoxins PIIIA and TIIIA have been previously elucidated using solution NMR spectroscopy.28,36 To further investigate their structural characteristics, we analysed the amidated variants of PIIIA and TIIIA with and without hydroxyproline PTMs using homonuclear and heteronuclear NMR spectroscopy. Notable differences in the 1H spectra were observed between the hydroxyproline and proline variants, including variations in signal dispersion, line widths and signal-to-noise ratios. Resonances were assigned from 1H–1H TOCSY37 and 1H–1H NOESY38,39 NMR spectra, supported by 1H–13C40 and 1H–15N HSQC41 spectra (representative spectra are shown in Supplementary Fig. S2–S5), following the sequential assignment protocol,42 and were largely unambiguous. The PIIIA variants exhibited multiple conformations, especially for (Pro8,18)PIIIA, which complicated assignment of the spectra. These conformational states were attributed to cistrans isomerisation at Pro8/Hyp8, with the trans isomer being predominant (Supplementary Fig. S6). By contrast, the 2-D NMR spectra of hydroxyproline-containing TIIIA and its proline counterpart (Pro8,18)TIIIA had narrow, well-dispersed peaks and many NOE cross-peaks, suggesting a single, well-defined conformation in solution. Importantly, both Hyp8 and Hyp18 in TIIIA exhibited strong sequential Hδ-Hαi−1 NOEs, confirming that they adopt a trans conformation, with no indications of the cis conformation. Backbone chemical shift assignments for all four amidated variants are given in the Supplementary Tables S1 and S2.

Secondary Hα chemical shifts were obtained by subtraction of the random coil chemical shift values from the measured chemical shifts to compare the variants and identify secondary structural elements.43,44 As shown in Fig. 3a, the series of negative Hα shifts indicate short helices or turns and an overall lack of β-sheet content, consistent with the expected µ-conotoxin structures. For the PIIIA and TIIIA hydroxyproline- and proline-containing variants, the backbone conformations are essentially the same, as shown by similar Hα secondary shifts for the two variants. However, the hydroxyproline-containing PIIIA variant (red bars) has slightly more negative values than (Pro8,18)PIIIA (green bars) in the region 9–12, potentially indicating a more stabilised helical structure. Nevertheless, proline hydroxylation does not appear to significantly affect the overall secondary structure in either of the µ-conotoxins.

Fig. 3.

Secondary Hα and temperature coefficients of µ-conotoxin variants. (a) Secondary Hα chemical shifts of hydroxyproline-containing PIIIA and TIIIA with their proline counterparts (Pro8,18)PIIIA and (Pro8,18)TIIIA. Significant deviations from random coil shifts (absolute values >0.1 ppm) indicate structural order. Negative Hα secondary shifts correspond to α-helical regions and positive shifts indicate β-sheet regions. (b) Amide proton temperature coefficients of PIIIA, TIIIA, (Pro8,18)PIIIA and (Pro8,18)TIIIA. Amide protons with temperature coefficients lower than −4.6 ppb K–1 (dashed line) have an 85% likelihood of participating in hydrogen bonding as donors. Amide proton signals of residues 1 and 2 in TIIIA and (Pro8,18)TIIIA are not detected due to fast exchange. Residues 8 and 18 correspond to hydroxyproline and proline respectively.


CH25071_F3.gif

Backbone amide hydrogen bond restraints were determined by calculating temperature coefficients.45 The hydroxyproline-containing PIIIA and TIIIA variants exhibit almost identical temperature coefficients to their respective (Pro8,18)PIIIA and (Pro8,18)TIIIA counterparts (Fig. 3b), suggesting the same hydrogen bond network. This implies that proline hydroxylation has a limited or negligible role in altering the backbone hydrogen bond network of the PIIIA and TIIIA peptides. The hydroxyl group in hydroxyproline might nevertheless be involved in hydrogen bonding with other side chains, or with the solvent.

To investigate the structural characteristics of the PIIIA and TIIIA variants, three-dimensional structures were determined from the NMR data. Hydrogen bond restraints derived from temperature coefficients, inter-proton distance restraints obtained from NOESY cross-peak volumes, analysis of preliminary structures, and backbone and side chain dihedral angles defined by TALOS-N (see https://spin.niddk.nih.gov/bax/software/TALOS-N/) and DISH (‘disulfide and dihedral prediction’, see https://github.com/davarm/DISH_prediction) were all combined for the structure calculations.46 Preliminary structure calculations were carried out using automated NOE assignment within CYANA (ver. 3.98.15, see https://cyana.org/) and the final structure calculation and water minimisation were carried out in CNS (‘Crystallography and NMR System’, ver. 1.21, see https://cns-online.org/v1.3/).46 To assess the accuracy of the structural geometry and atom packing, the structures were examined using MolProbity (ver. 4.5.2, see http://molprobity.biochem.duke.edu/).47 The 20 top structures out of the final set of 50 were chosen based on their MolProbity scores, low energy and absence of substantial experimental violations. Detailed statistical data from the calculations are provided in Supplementary Tables S3 and S4. It should be noted that NMR structures were calculated based on samples at pH ~3.5, to maximise sensitivity in the amide region of the spectra, whereas stability and activity assays were conducted at physiological pH 7.4. As the structures are constrained by the three disulfide bonds, we do not expect any major structural difference between the two pH values.

In agreement with predictions based on the Hα secondary shifts, all four µ-conotoxin variants showed well-ordered central regions characterised by a series of turns, with less structured N-terminal tails, which were more disordered in the proline-containing variants (Fig. 4). The latter is reflected in the RMSD values upon superimposing residues 3–22 of each of the peptides: PIIIA (0.59 Å), (Pro8,18)PIIIA (0.76 Å), TIIIA (0.69 Å) and (Pro8,18)TIIIA (0.83 Å). Similar side chain conformations and surface-exposed residues were observed in both the hydroxyproline-containing PIIIA and TIIIA, and their respective proline-containing counterparts, indicating conserved structural features. Both PIIIA and (Pro8,18)PIIIA conotoxin variants populated two distinct conformations in approximately a 3:1 ratio, resulting from cistrans isomerisation at Hyp8/Pro8. In both variants of the TIIIA peptide, Hyp8/Pro8 adopted a trans configuration, suggesting that electronic effects of the hydroxyl group do not affect the preference for the trans configuration. For the (Pro8,18)TIIIA structure, fewer distance and dihedral angle restraints were obtained compared to the hydroxyproline-containing TIIIA, resulting in higher RMSD values. This suggests that the (Pro8,18)TIIIA structure has lower stability and definition than the native TIIIA structure. This aligns with the respective folding efficiencies, indicating that although proline is tolerated, it is unfavorable for both folding and structure stabilisation. Perhaps subtle differences between the cistrans isomerisation in Hyp/Pro influence folding by inducing or stabilising helicity in folding intermediates and thereby bringing cysteine pairs into proximity for disulfide bond formation. In all models, the amidated C-terminus bends around towards the peptide backbone. Although we could not compare with the C-terminal acid variants in this study, this has also been observed for C-terminally amidated α-conotoxins27 and is probably due to the neutral charge of the amidated C-terminus, which can hydrogen bond with backbone carbonyl groups unlike the negatively charged C-terminal acid.

Fig. 4.

Structural ensembles of PIIIA, (Pro8,18)PIIIA, TIIIA and (Pro8,18)TIIIA. Ensembles of the 20 lowest-energy NMR structures are shown in red (PIIIA), green ((Pro8,18)PIIIA), black (TIIIA) and blue ((Pro8,18)TIIIA), selected based on energy and MolProbity scores. (a) Stick representation of the backbone conformations of the four peptides with cystine side chains highlighted in yellow to indicate their disulfide connectivities. (b) Cartoon representations of the lowest energy solution NMR structures of the four peptides, highlighting the side chain conformations of the labeled surface-exposed residues.


CH25071_F4.gif

Proline hydroxylation increases the electrophysiological activities and stabilities of µ-conotoxins

To evaluate the impact of proline hydroxylation on the activity of PIIIA and TIIIA, electrophysiological studies were conducted using HEK293 cells expressing various hNav subtypes. The concentration-response curves illustrating the effects of proline hydroxylation in both PIIIA and TIIIA peptides and their proline-containing counterparts are presented in Fig. 5a, with the corresponding IC50 values provided in Supplementary Table S5. The hydroxyproline-containing PIIIA peptide inhibited neuronal voltage-gated sodium channel subtypes hNav1.2, hNav1.7 and muscle subtype hNav1.4 with nanomolar potency (Mean IC50: 0.33 µM at hNav1.2; 0.086 µM at hNav1.4; and 0.33 µM at hNav1.7), whereas the proline variant (Pro8,18)PIIIA showed a comparatively lower potency across all three hNav subtypes tested (Mean IC50: 1.02 µM at hNav1.2; 0.73 µM at hNav1.4; and 1.5 µM at hNav1.7). Most prominently, the potency of the hydroxyproline PIIIA variant was ~10-fold higher than (Pro8,18)PIIIA at hNav1.4. The hydroxyproline-containing TIIIA peptide inhibited hNav1.2 and hNav1.4 but had only a limited effect on hNav1.7 (Mean IC50: 1.55 µM at hNav1.2; 0.36 µM at hNav1.4; and an incomplete block at 3 µM for hNav1.7), indicating a preference for hNav1.2 and 1.4 over hNav1.7. In contrast to the PIIIA variants, the potency of TIIIA was similar to that of the proline variant (Pro8,18)TIIIA (Mean IC50: 1.57 µM at hNav1.2; 0.75 µM at hNav1.4; and a partial block at 3 µM for hNav1.7). These results suggest that proline hydroxylation in the native PIIIA and TIIIA contributes to activity at hNav1.2 and hNav1.4, with peptide-specific effects.

Fig. 5.

Functional activity (potency) and stability of hydroxyproline-containing PIIIA, TIIIA and their proline-containing counterparts (Pro8,18)PIIIA and (Pro8,18)TIIIA. Inhibition of human Nav channels (a) Nav1.2, (b) Nav1.4 and (c) Nav1.7 by hydroxyproline-containing PIIIA and TIIIA peptides in comparison to their proline-containing counterparts (Pro8,18)PIIIA and (Pro8,18)TIIIA, illustrated by the concentration–response relationships for inhibition of Na+ currents. (d) Serum stabilities of hydroxyproline-containing PIIIA and TIIIA peptides compared to their proline-containing variants, (Pro8,18)PIIIA and (Pro8,18)TIIIA. The percentage of peptide remaining in serum over time is expressed relative to the amount of the respective peptide at the start (0 h). The data are presented as mean ± s.e.m. from a minimum of three replicates. Approximate half-lives are shown by dashed lines: PIIIA, 8.3 h; (Pro8,18)PIIIA, 5.2 h; TIIIA, 6.3 h; and (Pro8,18)TIIIA, 2.5 h.


CH25071_F5.gif

The stabilities of the four peptide variants in human serum were determined to compare the relative protease stabilities (Fig. 5d). Both hydroxyproline-containing µ-conotoxins had higher stability in serum than their corresponding proline variants; after 24 h, more than 40% of the hydroxyproline variant PIIIA remained, whereas only ~27% of the unmodified (Pro8,18)PIIIA variant remained and 25% of the hydroxyproline variant TIIIA remained, compared to less than 10% of the unmodified (Pro8,18)TIIIA. These results indicate that proline hydroxylation increases protease stability of both PIIIA and TIIIA µ-conotoxins, possibly by subtly stabilising the peptide structures or limiting access to vulnerable protease cleavage sites. In this study, only stability towards serum proteases was investigated; however, stability towards other proteases, e.g. those in gastric fluid, would need to be further investigated for other applications.

Discussion and conclusion

Solid phase peptide synthesis enabled us to generate all four possible variants of each of the two µ-conotoxins PIIA and TIIIA, which would have been difficult to obtain by other methods. Amidation of the C-terminus of these conotoxins appears to be critical for their correct oxidative folding, as we were unable to obtain any correctly folded species of the C-terminal acid variants. We therefore could not directly compare the effects of C-terminal amidation with the corresponding acids but inferred from the structures of the amidated variants that this PTM is essential for neutralising the charge at the terminus and possibly hydrogen bonding with backbone carbonyls.

Proline hydroxylation has a subtle influence on stabilising the structures of both PIIIA and TIIIA; while not drastically altering the overall peptide conformation, proline hydroxylation has pivotal effects in optimising oxidative folding and enhancing proteolytic stability. Multiple conformations were observed for PIIIA, but not for TIIIA, likely because of the α-helical region between residues 8–12 in PIIIA, in which the Hyp8/Pro8 cistrans isomerisation would have a significant effect. The structural effects of hydroxyproline are consistent with earlier findings in other conotoxin families, such as ω-conotoxins and α-conotoxins, in which hydroxylation improved oxidative folding and enhanced structural stability.18,21

In this study, proline hydroxylation of both PIIIA and TIIIA influenced the activities at hNavs 1.2, 1.4 and 1.7, possibly by fine-tuning the presentation of pharmacophoric elements critical for channel blockade. This is not the case for all conotoxins; e.g. artificial introduction of hydroxylation in the α-conotoxins ImI and GI reduced bioactivity.18 In other studies, arginine 14 has been highlighted as a key residue for high-affinity interactions at the muscle and neuronal subtypes, e.g. for GIIIA and related conotoxins,28,36,48,49 the functional significance of PTMs is highly context specific. Whereas in conotoxins such as ω-conotoxin GVIA50 and MVIIA,18 hydroxylation induces pronounced structural rearrangements that directly affect channel binding, in µ-conotoxins, the PTMs appear to facilitate subtle improvements in folding and stability that translate into enhanced pharmacological potency. Furthermore, our data on sodium channel inhibition align with earlier studies reporting differential potencies across Nav subtypes,33 reinforcing the idea that PTMs modulate target selectivity and potency. Taken together, our results showed that hydroxyproline has a more prominent role in the activity and stability of PIIIA compared to TIIIA.

Overall, our findings support the concept that naturally occurring PTMs in µ-conotoxins are evolutionarily optimised to enhance folding, stability and biological activity. These insights have broader implications for the development of peptide-based therapeutics. Future studies should further explore the in vivo mechanisms governing PTM-dependent folding and activity, including potential chaperone-mediated processes to inform the rational design of ion channel inhibitors. Furthermore, as three-dimensional structures of channel proteins become available through prediction or co-crystal structures, the more precise structure–activity relationships of conotoxin PTMs can be elucidated. By emphasising the necessity of incorporating native PTMs, this work not only explains variability in folding efficiency and bioactivity among conotoxins but also provides a strategic pathway for optimising peptide stability and potency in drug development. Ultimately, these insights pave the way for developing more effective treatments for channelopathies and other related disorders, underscoring the transformative potential of harnessing natural PTMs in therapeutic design.

Materials and methods

Solid-phase peptide synthesis

Peptides were synthesised using Fmoc (9-fluorenyl methoxycarbonyl) based solid phase synthesis at a 0.25-mmol scale. The C-terminally amidated peptides, which include the TIIIA, (Pro8,18)TIIIA, PIIIA and (Pro8,18)PIIIA peptides, were synthesised on Rink-Amide 4-Methylbenzhydrylamine hydrochloride (MBHA) resin (0.56 mmol g–1) using 0.2 M of Hexafluorophosphate Benzotriazole Tetramethyl Uronium (HBTU) in DMF as coupling reagent. A ratio of 4:4:8 equivalents of amino acid/HBTU/N,N′-diisopropylethylamine (DIPEA) was used for each coupling step. Prior to the coupling of each subsequent residue, 20% (v/v) piperidine in DMF was used for the deprotection of the N-terminal amine. Amino acid coupling was done using the automated peptide synthesiser (CS Bio Co. CS336X), with the coupling mixture being applied twice to the resin for all proline, hydroxyproline and cysteine amino acids. After synthesis, a final N-terminal deprotection was carried out using 2- × 5-min reactions of 20% v/v piperidine in DMF and washing with DMF.

The C-terminal acid peptides, which include the TIIIA-OH, (Pro8,18)TIIIA-OH, PIIIA-OH and (Pro8,18)PIIIA-OH peptide chains, were assembled on a 2-chlorotrityl chloride resin at a 0.25-mmol scale. The resin was pre-swelled in DCM for an hour before loading the C-terminal residue. Loading was achieved by applying a solution of 1.2 eq. of Fmoc-protected cysteine and 4 eq. of DIPEA in minimal DCM to the resin. The entire loading process was repeated to achieve adequate loading, with the remaining unreacted resin sites capped using DCM/Methanol (MeOH)/DIPEA (17:2:1), followed by washing with 3× DCM, 2× DMF and 2× DCM at 3-min intervals. Subsequent coupling was done using the automated peptide synthesiser, with the coupling mixture being applied twice to the resin for all proline, hydroxyproline and cysteine amino acids. After coupling, deprotection using 2- × 5-min reactions of 20% v/v piperidine in DMF was performed before subsequent amino acid coupling.

Upon completion of peptide synthesis, the resin was dried under nitrogen. The peptides were cleaved off the resin and side chain protecting groups released by treatment with a solution of TFA/3,6-dioxa-1,8-octanedithiol/triisopropylsilane/H2O (92.5/2.5/2.5/2.5) for 2 h. The cleavage mixture was filtered and rotatory evaporated to remove TFA. Cold diethyl ether was added to the solution and the peptide precipitate was collected by filtration. The peptide pellet was dissolved in a solution of 50/50 Buffer A/B (Buffer A, H2O with 0.05% TFA; Buffer B, 90% acetonitrile, 10% H2O, 0.045% TFA) before lyophilisation.

Crude peptides were dissolved and filtered, then loaded on a preparative C18 column (Phenomenex Jupiter 300 Å, 10 µm, 250 × 21.2 mm) and purified using RP-HPLC using an increasing gradient of buffer B in buffer A (1% min–1 for 80 min) with UV monitoring at 214 and 280 nm. HPLC fractions were collected manually and fractions containing major peaks were analysed by electrospray ionisation mass spectrometry (ESI-MS). Mass/charge ratios of peptide fractions corresponding to the desired peptide molecular weights were collected, and where required, peptides were re-purified until >95% purity. The purity, retention time and peak shapes of peptides in fractions following purification of crude peptides were determined by analytical RP-HPLC on a C18 analytical column (300 Å, 5 m, 2.1-mm inner diameter × 150 mm, Vydac column), at an increasing gradient of buffer B in buffer A (1% min–1). Raw mass spectrometry data were analysed using the Magtran software (ver. 1.02, see https://magtran.software.informer.com/).51 All peptides were stored in the lyophilised form at −20°C until they were ready for use. Prior to NMR and bioassays, the pure reduced peptides were reconstituted in the appropriate buffers or water. The TIIIA, (Pro8,18)TIIIA, TIIIA-OH, (Pro8,18)TIIIA-OH, peptides were oxidised for 48 h at 0.02 mM in aqueous 0.33 M of NH4OAc/0.5 M of GdnHCl at pH 7.8 and 4°C in the presence of both reduced and oxidised glutathione (peptide/GSH/GSSG, 1:100:10 molar ratio), based on conditions previously reported for native TIIIA.28 The PIIIA, (Pro8,18)PIIIA, PIIIA-OH, (Pro8,18)PIIIA-OH peptides were oxidised at a concentration of 0.02 mM in aqueous 0.33 M of NH4OAc, 0.5 M of guanidine HCl. The solution was stirred for 3–5 days at pH 8.1.29 Purification of oxidised peptides was completed using preparative RP-HPLC chromatography as described for the reduced peptides.

NMR data collection, processing and structure calculations

Samples of TIIIA, (Pro8,18)TIIIA, TIIIA-OH, (Pro8,18)TIIIA-OH, PIIIA, (Pro8,18)PIIIA, PIIIA-OH and (Pro8,18)PIIIA-OH peptides were prepared by dissolving ~1 mg of lyophilised, oxidised peptide in 500 µL of solution of H2O/D2O (90 : 10) at pH ~3.5 before carrying out NMR experiments. The NMR data were acquired on a 700-MHz NMR spectrometer equipped with a helium-cooled cryoprobe. 1-D data of all peptides were recorded and used to assess if a folded form had been achieved. Nuclear Overhauser Spectroscopy (NOESY; mixing time of 200 ms) and 2-D 1H–1H Total Correlation Spectroscopy (TOCSY; mixing time of 80 ms) were obtained at 298 K for folded peptides. A sweep width of 12 ppm, 8 scans and 512 increments were used for TOCSY experiments, and 32 scans and 512 increments were recorded for NOESY experiments. Heteronuclear Single Quantum Coherence (HSQC) experiments (1H–13C and 1H–15N) were also recorded at natural abundance. By comparing the assigned Ha chemical shifts with the corresponding random coil peptide chemical shifts, the secondary Ha chemical shifts were calculated and the secondary structural features of the peptide were identified.43 To observe the temperature dependence of the amide protons, further TOCSY data were obtained at different temperatures (288, 293, 298, 303 and 308 K).46 The data were processed using Brucker Topspin and cross-peak assignment and integration were carried out using CARA (‘Computer-Aided Resonance Assignment’, see http://cara.nmr.ch/doku.php/Home).52 Resonance assignments were carried out by combining the information from TOCSY and NOESY spectra using sequential assignment strategies.53 Structural restraints were obtained from the NMR data to attain the three-dimensional structures of the peptides. The interproton distance restraints for the post-translationally modified and unmodified peptides were obtained from the cross-peak volumes in the NOESY spectra. Combined assignment and dynamics algorithm for NMR applications (CYANA) was employed for the automated assignment of NOE cross-peaks, leveraging the identified chemical shifts.54 TALOS-N was used to predict dihedral ϕ(C−1–N–Cα–C) and ψ(N–Cα–C–N+1) backbone angles, as well as χ1(N–Cα–Cβ–Xg) side chain dihedral angles. Using the program DISH, the TALOS-N backbone dihedral angles were combined with chemical shifts to predict the χ1(N–Cα–Cβ–SX) and χ2(Cα–Cβ–SX–SY) dihedral angles for the disulfide-bonded cysteine residues.55 The temperature coefficients of the backbone amide were used to identify hydrogen bond donors. Plotting the chemical shift of the backbone 1HN proton of each residue v. temperature, values greater than −4.6 ppb K−1 were considered to be suggestive of a hydrogen bond being donated by that specific HN.45 A set of preliminary structures was calculated from the distance and angle restraint data obtained, using CYANA.54 The program CNS was then used to calculate structures using the restraints generated by CYANA through automatic assignment, in addition to the dihedral angle restraints from TALOS-N56 and the hydrogen bond restraints from temperature coefficients and preliminary calculations.57 Torsion angle dynamics were used by CNS to generate initial structures that were subsequently minimised in explicit water using Cartesian dynamics. The angle and distance restraints were checked to ensure that there were no violations. The stereochemical quality of the structures was assessed using the MolProbity software,58 which compares geometry to high-quality published structures. A final set of 20 structures from a total calculated 50 were chosen based on MolProbity scores, low energy and no violation of dihedral angles or distances greater than 0.2 Å or 3°.59 MOLMOL (ver. 2K.2, see https://sourceforge.net/projects/molmol/) was used to display and generate images of the post-translationally modified and unmodified peptides.60

Stability assays

Stability assays for the post-translationally modified TIIIA and its unmodified (Pro8,18)TIIIA variant were carried out in human male pooled serum using a 0.05 mg mL–1 final peptide concentration. The serum was prepared by centrifugation at 5590g for 10 min at room temperature (25°C) to remove the lipid component and incubated at 37°C for 20 min. Each peptide was incubated at 37°C and aliquots were taken at different time points: 0, 2, 4, 6, 8 and 24 h. Aliquots were quenched by the addition of 15% aqueous trifluoroacetic acid (TFA) and incubated on ice for 30 min. All samples were centrifuged at 14,000g for 10 min at room temperature (25°C) and the supernatant was stored at −20°C until analysis. By contrast, the in vitro serum stability of the post-translationally modified PIIIA and its modified (Pro8,18)PIIIA peptide variant was determined by peptide spiking. 30 µL of peptide (1 mg mL–1) was added to 570 µL of pooled human male serum to make a final concentration of 0.05 mg mL–1. The 100-µL samples were extracted at various intervals and 900 µL of ammonium acetate (0.1 M, pH 3) was added to quench the protease activity. After the samples were placed on ice for 30 min, solid-phase extraction cartridges (Oasis HLB 3cc, Waters) were used to extract the residual peptide. Cartridges were preconditioned with a 70% ACN/1% formic acid (FA) solution (3 mL) before being activated with 6 mL of MeOH for the extraction. Prior to sample loading, the cartridge was equilibrated with 1% FA solution. Following sample loading, 3 mL of 1% FA solution was used for washing and then 3 mL of 30% ACN/1% FA solution was used to elute the peptide variants. Eluted samples were lyophilised and then reconstituted in 200 µL of 1% FA.

Using a linear aqueous acetonitrile 1% gradient containing 0.05% TFA and a flow rate of 0.3 mL min–1, the peptide quantification was performed by RP-HPLC on an analytical Grace Vydac C18 column (2.1 mm × 150 mm, 5 mm). The sample absorbance was recorded at 215 nm and the peak area was compared to the peak area at time point 0 h. The remaining peptide amount was expressed as a percentage relative to the recovered peptide amount at time point 0 h. A non-linear fit of one-phase decay in GraphPad Prism 6 (ver. ver. 6, GraphPad Software, Boston, MA USA) was used to compute the peptide stability.

Cell culture and automated whole-cell patch-clamp electrophysiology

Human embryonic kidney 293 (HEK293) cells stably expressing recombinant hNaV1.2, hNaV1.4 and hNaV1.7 and the β1 auxiliary subunit (Scottish Biomedical Drug Discovery, Glasgow, UK) were cultured in Minimal Essential medium (MEM) (Sigma–Aldrich, Saint Louis, MO, USA) supplemented with 10% v/v Fetal Bovine Serum (FBS), 2 mM L-glutamine and selected antibiotics as per manufacturer’s recommendation. A QPatch 16X automated whole-cell patch clamp device (Sophion Bioscience A/S, Ballerup, Denmark) was used to record Nav channel currents from HEK293 cells that were stably expressing different Nav subtypes and the β1 auxiliary subunit. The cells were cultured for 48 h to reach ~80% confluency, detached using TrypLE Express (trypsin-like protease) and then resuspended to 5 × 106 cells mL–1 in serum-free media (DMEM (Gibco), 25 mM of HEPES, 100 U mL–1 of penicillin/streptomycin and trypsin inhibitor), following the manufacturer’s instructions. The extracellular solution, which was adjusted to pH 7.3 using NaOH, included the following components: 1 mM of CaCl2, 1 mM of MgCl2, 5 mM of HEPES, 3 mM of KCl, 140 mM of NaCl and 20 mM of TEA-Cl. The intracellular solution contained 140 mM of CsF, 1 mM of EGTA, 5 mM of CsOH, 10 mM of HEPES and 10 mM of NaCl, with CsOH used to adjust the pH to 7.3. Using sucrose, the osmolarity of both solutions was adjusted to 320 mOsm. The compound was prepared in an extracellular solution containing 0.1% bovine serum albumin (Sigma–Aldrich). Cells were kept at a holding potential of −90 mV to acquire the dose-response curves. Na+ currents were evoked by applying a conditioning pulse of −120 mV for 200 ms, followed by 20-ms voltage steps to 0 mV. Increasing concentrations of the peptide were incubated with the cells at the holding potential for 2 min before the voltage protocol was applied. GraphPad Prism (ver. 7.0, GraphPad Software, Boston, MA USA) and QPatch Assay software (ver. 5.6.4, Sophion Bioscience, Ballerup, Denmark) were used to analyse the experimental data. For concentration-response curves, a four-parameter Hill equation was employed for fitting, using non-linear regression analysis. Mean IC50 ± standard error of the mean (s.e.m.) was used to present the results, along with the number of independent experiments provided in triplicate.

Supplementary material

Supplementary material is available online.

Data availability

The data used to generate the results in this manuscript are available upon request from the authors.

Conflicts of interest

The authors declare that they have no conflicts of interest.

Declaration of funding

This work was supported by the Australian Government Research Training Program (RTP) scholarship awarded to Victoria Adegoke. This research was funded in part by the Austrian Science Fund (FWF) (grant DOI:10.55776/P36101) to Anne Conibear.

Acknowledgements

The authors thank the School of Biomedical Science, the Centre for Advanced Imaging, and the Institute of Molecular Biosciences at The University of Queensland for providing facilities and technical support services. Open Access publication was supported by The University of Queensland library through an agreement between The University of Queensland and CSIRO Publishing. The authors also thank Tobias Gökler (TU Wien) for helpful feedback and discussions.

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