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The antimalarial compounds quinine, chloroquine and mefloquine affect the electrophysiological properties of Cys-loop receptors and have structural similarities to 5-HT3 receptor antagonists. They may therefore act at 5-HT3 receptors.
The effects of quinine, chloroquine and mefloquine on electrophysiological and ligand binding properties of 5-HT3A receptors expressed in HEK 293 cells and Xenopus oocytes were examined. The compounds were also docked into models of the binding site.
5-HT3 responses were blocked with IC 50 values of 13.4μM, 11.8μM and 9.36μM for quinine, chloroquine and mefloquine. Schild plots indicated quinine and chloroquine behaved competitively with pA 2 values of 4.92 (K B=12.0μM) and 4.97 (K B=16.4μM). Mefloquine displayed weakly voltage-dependent, non-competitive inhibition consistent with channel block. On and off rates for quinine and chloroquine indicated a simple bimolecular reaction scheme. Quinine, chloroquine and mefloquine displaced [3H]granisetron with K i values of 15.0, 24.2 and 35.7μ M. Docking of quinine into a homology model of the 5-HT3 receptor binding site located the tertiary ammonium between W183 and Y234, and the quinoline ring towards the membrane, stabilised by a hydrogen bond with E129. For chloroquine, the quinoline ring was positioned between W183 and Y234 and the tertiary ammonium stabilised by interactions with F226.
This study shows that quinine and chloroquine competitively inhibit 5-HT3 receptors, while mefloquine inhibits predominantly non-competitively. Both quinine and chloroquine can be docked into a receptor binding site model, consistent with their structural homology to 5-HT3 receptor antagonists.
For most of the last century drugs such as quinine, chloroquine and mefloquine (Lariam) have provided a safe, cheap and effective method of controlling malaria. The antimalarial properties of these compounds are thought to be a consequence of inhibiting parasite growth within infected erythrocytes (Bray et al., 2005; Uhlemann et al., 2005). However, there are a growing number of clinical reports that show these drugs may also have neurological side effects, including paranoia, anxiety and depression. Emerging experimental evidence supports the hypothesis that these compounds adversely affect transmission at both neuromuscular junctions and synapses. For example, quinine has been shown to reduce the quantal content of miniature end-plate potentials at neuromuscular junctions and cause an open and closed channel block of postsynaptic nicotinic acetylcholine (nACh) receptors (Sieb et al., 1996). Block of α9α10 nACh receptors by chloroquine has shown that this compound acts as a competitive inhibitor while quinine displays a mixed competitive/noncompetitive behaviour (Ballestero et al., 2005). As 5-HT3 receptors are closely related to nACh receptors, it is possible that these antimalarial compounds also affect 5-hydroxytryptaminergic neurotransmission. Furthermore, pharmacophore models of 5-HT3 agonists and antagonists have structural features that are shared by quinine, chloroquine and mefloquine, suggesting that these compounds may interact with the 5-HT3-binding site.
5-HT3 receptors are members of the Cys-loop family of ligand-gated ion channels that also include nACh, glycine and GABAA receptors. These receptors are membrane proteins composed of five symmetrically arranged subunits that surround a central ion-conducting pore. To date, five 5-HT3 receptor subunits (A–E) have been identified, although only homomeric 5-HT3A or heteromeric 5-HT3AB subunit complexes have been functionally expressed and characterized (Davies et al., 1999; Niesler et al., 2003). Each subunit consists of an extracellular, a transmembrane and an intracellular domain. The extracellular domain is responsible for ligand binding. The binding site is located at the interface of two adjacent subunits and is formed by the convergence of three loops (A–C) from the principal subunit and another three loops (D–F) from the complementary subunit (Reeves and Lummis, 2002). Molecular details of the binding pocket have been extrapolated from the structure of the acetylcholine-binding protein (AChBP), which is homologous to the extracellular domain of Cys-loop receptors, and a range of amino-acid residues that are important for agonist and antagonist binding have been identified (see for example Thompson et al., 2006b). 5-HT3 receptors are present in the central and peripheral nervous system where activation results in membrane depolarization under physiological conditions. Postsynaptic activation contributes to fast excitatory transmission and presynaptic receptors modulate the release of various neurotransmitters such as dopamine and GABA (Thompson et al., 2006b). Consequently, changes in the proper functioning of these receptors could have a wide-ranging impact on neurological function and may partially explain some of the reported side effects associated with malarial prophylaxis.
Using recombinant expressed receptors, we show that quinine, chloroquine and mefloquine inhibit 5-HT3 receptor-mediated currents and binding of the radiolabelled 5-HT3 receptor antagonist, [3H]granisetron. A mechanism for the effects of each compound is proposed.
Human embryonic kidney (HEK)-293 cells were maintained in DMEM/F12 (Dulbecco's modified Eagle's medium/nutrient mix F12 (1:1)) with GlutaMAX I containing 10% fetal calf serum at 37°C and 7% CO2 in a humidified atmosphere. Xenopus laevis oocyte-positive females were purchased from NASCO (Fort Atkinson, WI, USA) and maintained according to standard methods (Goldin, 1992). Harvested stage V–VI Xenopus oocytes were washed in six changes of ND96 (96mM NaCl, 2mM KCl, 1mM MgCl2, 1.8mM CaCl2 and 5mM HEPES, pH 7.5), defolliculated in 1.5mgml−1 collagenase Type 1A for approximately 2h, washed again in a further six changes of ND96 and stored in ND96 containing 2.5mM sodium pyruvate, 50mM gentamycin and 0.7mM theophylline.
Mouse 5-HT3A (accession number: AY605711) subunit cDNA was cloned into pGEMHE for oocyte expression (Liman et al., 1992). cRNA was in vitro-transcribed from linearized (NheI) plasmid cDNA template using the mMessage mMachine T7 Transcription kit (Ambion, Austin, TX, USA). Stage V and VI oocytes were injected with 100–700ng cRNA and recorded from 1 to 4 days post-injection. For expression in HEK-293 cells, 5-HT3A receptor subunit cDNA was cloned into pcDNA3.1 (Invitrogen Ltd, Paisley, UK). Cells were transfected using calcium phosphate precipitation at 80–90% confluency (Jordan et al., 1996).After transfection cells were incubated for 3–4 days before assay.
This was undertaken in HEK-293 cells, which provide an established and robust method of studying ligand binding. Methods were as described previously (Lummis et al., 1993), with minor modifications. Briefly, transfected HEK-293 cells were washed twice with phosphate-buffered saline (PBS) at room temperature and scraped into 1ml of ice-cold HEPES buffer (10mM, pH 7.4) containing the following proteinase inhibitors (PIs): 1mM EDTA, 50μgml−1 soybean trypsin inhibitor, 50μg/ml bacitracin and 0.1mM phenylmethylsulphonyl fluoride. After thawing, they were washed with HEPES buffer, resuspended, and 50μg of cell membranes incubated in 0.5ml HEPES buffer containing 1nM [3H]granisetron (~Kd) in the presence or absence of quinine, chloroquine or mefloquine (0.5μM to 2mM). Competition binding (16 point) was performed on at least four separate plates of transfected cells. Nonspecific binding was determined using 10μM quipazine. Reactions were incubated for at least 1h at 4°C and terminated by vacuum filtration using a Brandel cell harvester onto GF/B filters presoaked in 0.3% polyethyleneimine. Radioactivity was determined by scintillation counting using a Beckman LS6000SC (Fullerton, CA, USA). Competition binding data were analysed by iterative curve fitting (GraphPad Prism v3.02, GraphPad Software, San Diego, CA, USA), according to the equation:
where Bmin is the lowest specific binding, Bmax is the maximum specific binding, [L] is the concentration of competing ligand and IC50 is the concentration of competing ligand that blocks half of the specific bound radioligand. Ki values were estimated from IC50 values using the Cheng–Prusoff equation:
where Ki is the equilibrium dissociation constant for binding of the unlabelled antagonist, [L] is the concentration of radioligand and Kd is the equilibrium dissociation constant of the radioligand. Values are presented as mean±s.e.m.
Electrophysiological experiments were performed in Xenopus oocytes that express 5-HT3 receptors better than HEK-293 cells, resulting in larger currents that are more accurate for inhibition studies. Using two electrode voltage clamp, oocytes were routinely clamped at −60mV (unless stated) using an OC-725 amplifier (Warner Instruments, Hamden, CT, USA), Digidata 1322A and the Strathclyde Electrophysiology Software Package (Strathclyde Institute of Pharmacy & Biomedical Sciences, University of Strathclyde, UK; http://www.strath.ac.uk/sipbs/). Currents were filtered at a frequency of 1kHz. Leak current was always <100nA. Microelectrodes were fabricated from borosilicate glass (GC120TF-10, Harvard Apparatus, Edenbridge, Kent, UK) using a two-stage horizontal pull (Sutter P-87, Novato, CA, USA) and filled with 3M KCl. Pipette resistances ranged from 0.5 to 1.5MΩ. Oocytes were perfused with saline at a rate of 15mlmin−1. Drug application was via a simple gravity-fed system calibrated to run at the same rate. Extracellular saline contained (mM), 96 NaCl, 2 KCl, 1 MgCl2 and 5 HEPES; pH 7.4 with NaOH.
Analysis and curve fitting were performed using Prism. Concentration–response data for each oocyte were normalized to the maximum current for that oocyte. For inhibition curves, antagonists were either co-applied with 5-HT or were preapplied for 25s and then immediately co-applied. The mean and s.e.m. for a series of oocytes were plotted against agonist or antagonist concentration and iteratively fitted to the following equation:
where Imin is the baseline current, Imax is the peak current evoked by agonist, EC50 is the concentration of agonist needed to evoke a half-maximal response, [L] is the antagonist concentration and nH is the Hill slope. Kb was estimated from IC50 values using the Cheng–Prusoff equation with the modification by Leff and Dougall (1993).
where Kb is the dissociation constant of the competing drug, IC50 is the concentration of antagonist required to halve the maximal response, [L] is the agonist concentration, [EC50] is the agonist EC50 and nH is the Hill slope of the agonist. Analysis of competitive inhibition was performed by Schild plot (Arunlakshana and Schild, 1959) according to the following equation:
where EC50′ and EC50 are values in the presence and absence of antagonist (dose ratio), [L] is the concentration of antagonist and KB is the equilibrium dissociation constant for the antagonist receptor interaction. Further analysis was performed using the Gaddum–Schild equation (slope=1) as recommended by (Neubig et al., 2003)
where pEC50 is the negative logarithm of the agonist EC50, [L] is the antagonist concentration, logC is a constant and pA2 is the negative logarithm of the antagonist concentration needed to double the concentration of agonist required, to elicit a response that is comparable to the original response in the absence of antagonist. pA2 is equal to the negative logarithm of KB when the slope of the Schild plot is exactly 1.
Rate constants for the onset and recovery from antagonist inhibition were analysed as follows. A simple bimolecular binding scheme for receptor and ligand can be represented as
where L is ligand concentration, R is receptor concentration, LR is the bound receptor and k+1 and k−1 are the microscopic association and dissociation rate constants. In a simple scheme such as this, the apparent equilibrium dissociation constant (Kd) is equal to the ratio of dissociation to association rate constants, such that
According to a one site-binding model of the type shown, the rates of onset and recovery of an antagonist response can be used to estimate k+1 and k−1
where τon refers to the rate of onset of inhibition, τoff refers to recovery from inhibition and [L] is antagonist concentration.
The protein sequence of the extracellular domain of the mouse 5-HT3A receptor subunit (accession number: Q6J1J7) was co-aligned with the sequence of AChBP from Lymnaea stagnalis (accession number: P58154) using FUGUE (Shi et al., 2001). A three-dimensional homology model was generated using MODELLER 6v2 (Sali and Blundell, 1993) based on the crystal structure of AChBP at 2.7Å resolution (PDB ID: 1I9B). The pentamer was generated by superimposing a 5-HT3 subunit onto each protomer of AChBP and was then energy minimized using the force field implemented in MODELLER 6v2. The best model was selected after Ramachandran plot analysis of all the generated models.
The three-dimensional structures of quinine and chloroquine were extracted from the Cambridge Structural Database (reference codes KAMDAD and CLQUON01, respectively). Protonated forms of both molecules were constructed in Chem3D Ultra 7.0 (CambridgeSoft, Cambridge, UK) based on the crystal structures, and energy minimized using the MM2 force field. Figure 1 shows the structural formulae of these compounds.
Docking of the protonated ligands into the 5-HT3 receptor homology model was carried out using GOLD 3.0 (The Cambridge Crystallographic Data Centre, Cambridge, UK). The binding site was defined using the C2 atom of W183, the Cζ atom of Y234 or the Cζ atom of Y153, with a binding site radius of 7Å for quinine and 10Å for chloroquine. The amino-acid residues were chosen based on the preferred binding site models of Reeves et al. (2003) and Thompson et al. (2005). Ten genetic algorithm runs were performed on each docking exercise, giving a total of 30 solutions for each antagonist. The structures were analysed using the implemented GoldScore fitness function.
All cell culture reagents were obtained from Gibco BRL (Paisley, UK), except fetal calf serum which was from Labtech International (Ringmer, UK). [3H]granisetron (63.5Cimmol−1) was from PerkinElmer (Boston, MA, USA). Quinine and chloroquine were from Sigma-Aldrich Co. Ltd (Poole, Dorset, UK). Mefloquine-HCl was provided by CilagAG. All other reagents were of the highest obtainable grade.
Application of 5-HT to Xenopus oocytes expressing 5-HT3 receptors produced concentration-dependent, rapidly activating, inward currents that desensitized over the time course of the application. Plotting current amplitude against a series of 5-HT concentrations allowed the data to be fitted with Equation 3, from which a logEC50 of −6.12±0.02 (EC50=0.75μM) and Hill slope of 2.21±0.23 were calculated (Figure 2a, n=12). These responses were completely and reversibly inhibited by the antagonists d-tubocurarine and granisetron (100nM, data not shown).
Inhibition of the 0.75μM 5-HT-induced response was observed in the presence of quinine, chloroquine or mefloquine, but application of antagonists alone did not elicit a response (Figure 2b, Table 1). The inhibition was fully reversible after 3min of washing. Inhibition was unaltered by pre-application of quinine or chloroquine, but an increase in potency was seen for mefloquine with no significant change in the level of inhibition after 20s of pre-application (Figure 2b, inset). In the continued presence of 5-HT, removal of all these the drugs resulted in the reemergence of the current (Figure 3). IC50 values for the three compounds were similar with a rank order of potency of mefloquine >chloroquine >quinine. The data from these experiments were used in the modified Cheng–Prusoff (Equation 4) and yielded Kb values of 37.4 and 32.8μM for quinine and chloroquine. A Kb estimate for mefloquine could not be accurately determined as further observations indicated that this compound displayed a noncompetitive behaviour (Leff and Dougall, 1993).
Increasing the concentrations of quinine (50, 100, 160 and 300μM) and chloroquine (30, 80, 100, 150 and 300μM) caused parallel rightward shifts in the 5-HT concentration–response curves, with no change in the maximal response (Figure 4a and b, Table 2), indicating competitive inhibition. Schild plots supported this finding (Equation 5, Figure 4a and b inset), yielding gradients close to 1 (0.99 and 0.96) and pA2 values of 4.92 (KB, 12.0μM) and 4.79 (KB, 16.4μM) for quinine and chloroquine, respectively. The KB estimates were similar (12.6 and 18.0μM for quinine and chloroquine, respectively) if data were fitted using nonlinear regression methods (Equation 6) as recommended by Neubig et al. (2003) and Lew and Angus (1995). Concentration–response curves in the presence of increasing concentrations of mefloquine (4μM>10μM>30μM) displayed concomitant increases in EC50, but were not parallel and the maximal responses were reduced, indicating noncompetitive inhibition (Figure 4C). Consistent with these observations, when inhibition of the 6μM 5-HT response was compared to inhibition of the 0.75μM response, the IC50 values for quinine and chloroquine were increased, while the IC50 of mefloquine was unaltered (data not shown).
To test whether any of the compounds blocked the channel of the 5-HT3 receptor, experiments were performed at holding potentials of −60 and +40mV (Figure 5, Table 3). Quinine, chloroquine and mefloquine are positively charged under physiological conditions, and so binding in the channel should be influenced by changes in the membrane holding potential. Comparison of the quinine and chloroquine inhibition curves at −60 and +40mV showed that they were indistinguishable. For mefloquine there was a rightward shift of the concentration–response curve at +40mV, indicating that inhibition by this compound was reduced at more positive potentials.
The limitations of measuring microscopic rate constants in oocytes is well known, but the experiments described in this study were performed under the same conditions and therefore a comparison of relative rates is valuable (Papke and Thinschmidt, 1998). Inhibition of the 0.75μM 5-HT response allowed the microscopic rates of association and dissociation for quinine and chloroquine to be determined, and these were found to be well fitted by monoexponential functions (Figure 6; Table 4). The rates were considered to be unaffected by the much slower underlying desensitization of the 5-HT current response (8.16±0.62s, n=28). When the reciprocal of these rates was plotted against antagonist concentration, the rates of onset of inhibition (τon) for both quinine and chloroquine increased linearly with antagonist concentration, while recovery (τoff) was unaltered, as predicted by Equation 7. (Figure 6b and c). Association rates (k+1) were determined from the slope of the 1/τon curves and dissociation rate constants estimated from the average of the 1/τoff values. The association rates for quinine and chloroquine were 5.6 × 103 and 2.7 × 103M−1s−1, and the dissociation rates were 0.09 and 0.10s−1, yielding dissociation constants of 15.5 and 36.2μM, respectively (Equation 8). These values are in agreement with a simple kinetic scheme that predicts a single population of antagonist-binding sites with equal affinities; this is consistent with Hill slopes determined from competitive binding with [3H]granisetron, while Hill slopes of the dose–inhibition curves were greater than unity as expected for responses that also have a steep agonist Hill slope, as reported previously (Leff and Dougall, 1993, Fan et al., 1995; Das et al., 2004). Owing to the long preincubation times (>20s, Figure 2b inset) needed to achieve a stable level of mefloquine inhibition and the poor recovery of the response following the removal of this antagonist, τon and τoff could not be accurately estimated for this ligand.
[3H]Granisetron, at a concentration close to its Kd (1nM, Figure 7 inset), was displaced in a concentration-dependent manner by all three compounds. IC50 values for quinine, chloroquine and mefloquine were similar with values of 30.0±3.5μM (n=5), 48.5±4.9μM (n=4) and 71.4±11.4μM (n=4), respectively. These yielded Ki values of 15.0μM, 24.2 and 35.7μM (Equation 2). Hill slopes for quinine, chloroquine and mefloquine were 0.76±0.06, 0.85±0.03 and 1.27±0.09.
Docking quinine and chloroquine into the 5-HT3 receptor-binding site yielded a series of docking solutions for each antagonist. These were split into groups based on the orientation of the ligand and GOLD scores (Olsen et al., 2004). Docking of mefloquine was not performed as this ligand displayed a mixed competitive/noncompetitive behaviour.
The results of quinine docking fell into two alternative groups designated A and B. In solution A (Figure 8a), the tertiary ammonium group of quinine was located between the aromatic rings of Y234 and W183, and the quinoline ring was orientated towards the membrane. The distances between the nitrogen atom of the ammonium group and the centroids of the aromatic rings of Y234 and W183 were between 4 and 5Å, which is ideal for a cation–π interaction. There is a potential hydrogen bond between the hydroxyl group of quinine and the carboxylate group of the E129 side chain. In solution B (Figure 8b), the quinoline ring projected in the opposite direction towards loop E, although the tertiary ammonium group remains between Y234 and W183 and still has the potential to form a cation–π interaction. In this orientation there were a series of potential hydrogen bonds between the hydroxyl group of quinine and the hydroxyl group of Y143 and backbone carbonyl oxygen of W183, in addition to a hydrogen bond formed between the quinoline nitrogen and the primary amide of Q151.
Docking of chloroquine yielded solutions that also fell into two main groups designated C and D. Both solutions placed the quinoline ring between the aromatic rings of W183 and Y234. The centroid–centroid distances between the ring planes were within 5Å, suggesting a possible π–π interaction. In model C (Figure 8c), the tertiary ammonium was orientated towards the membrane and indicated the possibility of a cation-π interaction with the aromatic ring of F226. In solution D, the tertiary ammonium of chloroquine was orientated away from the membrane, which would enable the formation of a hydrogen bond between the tertiary ammonium and the hydroxyl group of Y234, as well as a hydrogen bond between the secondary amine of chloroquine and the hydroxyl group of Y143 (Figure 8d).
The antimalarial compounds quinine, chloroquine and mefloquine have structural similarity to 5-HT3 receptor antagonists. Here, we show that all three compounds inhibit 5-HT3 receptor-mediated responses and binding of the competitive radiolabelled antagonist [3H]granisetron at micromolar concentrations. Quinine and chloroquine inhibit 5-HT3 responses in a manner that is consistent with competitive inhibition, while the characteristic of mefloquine inhibition is predominantly channel block.
The observation that quinine and chloroquine competitively inhibit receptor responses was anticipated, as there are structural similarities between these compounds and 5-HT3 pharmacophore models. We explored the potential interactions of these two compounds with the amino acids that constitute the 5-HT3 receptor ligand-binding site by docking these ligands into the binding pocket. We successfully docked quinine with its tertiary amine located between W183 and Y234. This is also where we believe the primary amine of bound 5-HT is located (Reeves et al., 2003). W183 is known to form a cation-π interaction with bound 5-HT and the tertiary amine of quinine could form a similar interaction. There is strong evidence that an aromatic residue is required at position 234 in the 5-HT3 receptor, and at the equivalent location (Y198) in the nACh receptor; indeed, the aromatic nature of this location is conserved in almost all the subunits of this superfamily (Kearney et al., 1996; Beene et al., 2004; Price and Lummis, 2004). The location of the quinoline ring was not as easy to distinguish as two possible orientations were suggested (Figure 8a and b). Currently we favour solution 8a, where the carboxylate group of Glu129 forms an H bond with the hydroxyl group of quinine. Glu129 is a critical binding residue for the antagonist granisetron, and in this position quinine is similarly orientated to the preferred orientation of granisetron in the 5-HT-binding site (Thompson et al., 2005, 2006a; Sullivan et al., 2006). Docking of chloroquine revealed two orientations that were distinct from docked quinine, as the quinoline ring of chloroquine was located between W183 and Y234, suggesting a possible π–π interaction (Figure 8c and d). A potential cation-π interaction was detected between F226 and the tertiary ammonium of chloroquine. Because of this and the similarities in orientation with quinine and previous docking studies of granisetron, we believe that solution 8d may reflect the true binding orientation. It is interesting to note that the aromatic side chains of W183 and Y234 prefer a π-cation interaction with the tertiary ammonium of quinine where as the quinoline ring of chloroquine forms a π–π sandwich with W183 and Y234. This difference may be the consequence of steric restrictions within the binding site, as chloroquine has a long and flexible side chain that can adopt many different conformations while quinine has a more bulky and rigid azabicyclic ring.
Mefloquine does not appear to be a competitive inhibitor at the 5-HT3 receptor, despite its similarities with 5-HT3 pharmacophore models and the structural features it shares with quinine and chloroquine. Our evidence suggests it inhibits the 5-HT-mediated current by blocking the 5-HT3 receptor channel. Firstly, concentration–response curves in the presence of increasing concentrations of mefloquine showed that the effect of the antagonist was not surmountable. Secondly, inhibition was increased by preincubation with mefloquine, suggesting an action at the closed channel. Finally, the inhibition curve at +40mV was shifted to the right when compared to that at −60mV, indicating voltage dependence. The simplest explanation for this voltage dependence is the impairment of ion flow by channel block. Given the small difference in IC50 values recorded at the two potentials, it is likely that mefloquine binds at a shallow position in the channel or within the outer vestibule as has been suggested for channel blockers of the nACh receptor (Tikhonov et al., 2004).
Interestingly, mefloquine was able to displace specific [3H]granisetron binding, although at higher concentrations than required for its channel blocking activity. This is similar to previous studies of diltiazem and verapamil which block the 5-HT3 receptor pore, but also displace [3H]granisetron binding at higher concentrations (Hargreaves et al., 1996; Gunthorpe and Lummis, 1999). Our results indicate that at higher concentrations mefloquine may have a mixed competitive/noncompetitive behaviour, similar to the actions of quinine and quinidine at α9α10 nACh receptors, and to the proposed effects of 5-hydroxyindole at the 5-HT3 receptor (Kooyman et al., 1993; Ballestero et al., 2005). Similar effects on the 5-HT3 receptor current have also been observed for the antihypertensive drug ifenprodil and the antipsychotic, flupentixol. At concentrations similar to those used here, inhibition of the 5-HT-induced response by ifenprodil was reversible, enhanced by pre-application and was noncompetitive (McCool and Lovinger, 1995; Barann et al., 1998). Inhibition by flupentixol was also reversible, enhanced by pre-application, was noncompetitive and was characterized by the appearance of ‘tail currents' when the drug was removed (Rammes et al., 2004).
The effects of quinine and chloroquine on other members of the Cys-loop family have been reported previously, although the mode of action of the compounds appears to vary. At similar concentrations to those reported here, quinine acted as a channel blocker at muscle-type ACh channels and inhibited [125I]α-bungarotoxin binding at concentrations higher than those required for the channel effects (Hargreaves et al., 1996; Sieb et al., 1996). At α9α10 nACh receptors, quinine and chloroquine appear more potent with reported IC50 values of 0.97 and 0.39μM, respectively, and a mixed competitive/noncompetitive behaviour was reported (Sieb et al., 1996; Ballestero et al., 2005). In humans, the blood concentration of mefloquine required to be 99% effective at reducing Plasmodium falciparum infection has been reported as 2.2 and 4.1μM (Lobel et al., 1993; Ramharter et al., 2004). For chloroquine, 99% efficiency is achieved at 44.4μM and for quinine it is 1.57μM (Ramharter et al., 2004). For chloroquine and mefloquine these concentrations are close to the IC50 concentrations at both 5-HT3 and nACh receptors.
In summary, we have used a combination of electrophysiology, ligand binding, homology modelling and simulated docking to define the mechanisms by which quinine, chloroquine and mefloquine inhibit the 5-HT3 receptor response. Our observations further extend the number of receptors known to be affected by these compounds and the growing diversity of targets may account for the broad spectrum of side effects that have been reported by patients receiving them (Luzzi and Peto, 1993; Palmer et al., 1993; Taylor and White, 2004). Inhibition of the 5-HT3-mediated current could have wide-ranging effects in the nervous system, as 5-HT3 receptors can modulate a variety of neurotransmitter responses such as those to GABA, dopamine and cholecystokinin (Thompson et al., 2006b).
We thank the Wellcome Trust for funding. SCRL is a Wellcome Trust Senior Research Fellow in Basic Biomedical Studies. ML would like to thank the Swiss National Science Foundation for a postdoctoral fellowship (PA00A-105073). Particular thanks are given to Christian Weh of Cilag AG for kindly arranging the provision of mefloquine for this research.
Conflict of interest
The authors state no conflict of interest.