Introduction

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Dopamine receptors are currently classified into two families on the basis of their primary structures, their coupling to intracellular transduction mechanisms and their pharmacological profiles of ligand recognition: D₁ and D₅ receptors and D₂, D₃ and D₄ receptors (Seeman, 1992; Sokoloff and Schwartz, 1995). The discovery of novel D₃ and D₄ receptors has raised the question of their respective roles in mediating the actions of DA and their pathophysiological significance in disorders reflecting a perturbation of dopaminergic transmission. Furthermore, because most ligands traditionally employed for the evaluation of actions at D₂ receptors possess comparable affinity for D₂, D₃ and D₄ receptors (Chabert et al., 1994; Malmberg et al., 1993; Millan et al., 1995a; Newman-Tancredi et al., 1997a; Roth et al., 1995; Sokoloff et al., 1992, Van Tol et al., 1991), it appears necessary to reappraise the putative role and pathophysiological significance of D₂ receptors. Indeed, apomorphine and other dopaminergic agonists employed for the treatment of Parkinson's disease, as well as haloperidol and other antipsychotics utilized for the management of psychotic disorders, exhibit pronounced activity at D₃ and D₄ receptors. As concerns the treatment of psychotic disorders, it is important to determine whether selective blockade of D₃ or D₄ receptors may control productive and/or deficit-cognitive symptoms of schizophrenia in the absence of undesirable, extrapyramidal side effects (Roth et al., 1995; Seeman, 1992; Sokoloff and Schwartz, 1995).

In this regard, D₄ receptors have been the focus of particular attention for several reasons. First, neuroanatomical studies employing antibodies against the receptor protein (Ariano et al., 1997; Defagot et al., 1997; Harlan et al., 1996; Mauger et al., 1996) radiolabeled, selective antagonists (Primus et al., 1997; Tallman et al., 1997; Tarazi et al., 1997) and immunocytochemical localization of the corresponding mRNA (Matsumoto M. et al., 1996; Matsumoto et al., 1995; Meador-Woodruff et al., 1996; Wang et al., 1996) have suggested a preferential localization of D₄ receptors in cortical and limbic structures involved in the regulation of mood and cognition, as well as in the etiology of schizophrenia. By contrast, their levels are comparatively low in the striatum and other structures involved in the modulation of motor behavior and in the induction of extrapyramidal symptoms. Second, elevated levels of D₄ receptors have been documented in certain cerebral structures, including the striatum and nucleus accumbens, of schizophrenic patients (Murray et al., 1995; Seeman et al., 1993 and 1995; Seeman and Van Tol, 1995). Third, chronic treatment of rodents with antipsychotics alters cerebral levels of mRNA-encoding D₄ receptors (Baldessarini et al., 1996; Schoots et al., 1995). Fourth, in contrast to haloperidol, clozapine was reported to possess a marked (10-fold) preference for cloned hD₄ over hD₂ receptors (Murray et al., 1995; Seeman, 1992; Seeman et al., 1997; Van Tol et al., 1991). In fact, more recent studies suggest that the preference of clozapine for D₄ over D₂ sites is modest, on the order of 2- to 5-fold (Chabert et al., 1994; Newman-Tancredi et al., 1997a; Roth et al., 1995). Furthermore, the observation of a putative increase in levels of D₄ receptors in schizophrenic brain remains controversial (Lahti et al., 1996a and b; Mulcrone and Kerwin, 1996; Reynolds and Mason, 1995; Seeman and Van Tol, 1995). In addition, levels of D₄ receptors in cerebral tissue are low relative to those of D₂ receptorswith the exception, however, of certain regions of the cerebral cortex (Lahti et al., 1996a; Matsumoto M. et al., 1995, 1996; Meador-Woodruff et al., 1996; Primus et al., 1997; Reynolds and Mason, 1995).

The utility of novel, antisense receptor "knockdown" and transgenic gene "knockout" approaches notwithstanding (Accili et al., 1996; Paulus et al., 1996; Tepper et al., 1997), the availability of chemically diverse, selective ligands remains essential for a broad-based experimental and clinical exploration of the pathophysiological significance of D₄as well as D₂ and D₃receptors. Correspondingly, intensive efforts have been made to identify selective antagonists at D₄ receptors, and recently, several structures have been presented in either preliminary (Hartman et al., 1996; Zorn et al., 1996) or more complete (Boyfield et al., 1996; Hidaka et al., 1996; Kulagowski et al., 1996; Merchant et al., 1996; Patel et al., 1996a; Rowley et al., 1996; Tallman, 1987, Tallman et al., 1997; Thurkauf et al., 1997) reports (see Hadley, 1996 for a review). However, in vivo functional data concerning the actions of selective D₄ antagonists are very limited.

In this light, the present report describes the in vitro and in vivo properties of a novel, potent, competitive, selective and orally active D₄ receptor antagonist S 18126 (fig. 1). Its actions were compared with those of the arylpiperazine D₄ receptor antagonist L 745,870 (Bristow et al., 1997; Kulagowski et al., 1996; Patel et al., 1996b) and with those of the benzamide raclopride, which possesses negligible affinity at D₄ receptors but marked affinity at D₂/D₃ receptors (Asghari et al., 1995; Millan et al., 1995a and b). In addition, for several key functional parameters in vivo, we extended these studies to a series of benzamides possessing differential affinity at hD₂ and hD₄ receptors (Giuliani and Ferrari, 1997; Nasello et al., 1991; Rumigny et al., 1984; Steele et al., 1993) (see "Discussion"). Their utilization made possible a correlation analysis of the respective involvement of D₄ vs. D₂ receptors in several functional paradigms. Thereby, doses of S 18126 and L 745,870 active at D₂ receptors in vivo could be determined, which, in turn, permitted the calculation of a theoretical dose range over which S 18126 and L 745,870 should act as selective D₄ receptor antagonists. Thus, in addition to a characterizing S 18126 per se, we sought to determine more generally the putative functional significance of D₄ receptor blockade in several models of antipsychotic and extrapyramidal properties. A preliminary account (in Abstract form) of some of the present data has been presented elsewhere (Millan et al., 1996).

View larger version (8K): [in this window] [in a new window]   Fig. 1.   Structure of S 18126.

	Materials and Methods

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Binding at hD₄ and other dopaminergic receptor types. Competition binding to CHO-D_4.4 (Receptor Biology Inc., Beltsville, MD) and CHO-hD_2S cell membranes was carried out as described in Newman-Tancredi et al. (1997a). Briefly, membranes (10-20 µg protein) were incubated with [³H]-spiperone at 25°C for 60 min in a buffer containing TRIS 50 mM (pH 7.4), NaCl 120 mM, KCl 5 mM, EDTA 1 mM and MgCl₂ 5 mM. Nonspecific binding was defined with haloperidol (1 µM). S 18126 was tested in competition binding experiments at a range of other recombinant and native brain binding sites. Experiments were carried out "in house" or by the screening company, CEREP (Celle L'Evescault, France). Isotherms were analyzed by nonlinear regression, using the program PRISM (Graphpad Software Inc., San Diego, CA) to yield IC₅₀ values. Inhibition constants (K_i values) were derived from IC₅₀ values according to the Cheng-Prusoff equation: K_i = IC₅₀/(1 + L/K_d); where L is the concentration of radioligand and K_d is the dissociation constant of the radioligand.

Measurement of agonist efficacy and antagonist potency at hD₂ and hD₄ receptors. Receptor-linked G protein activation at hD₂ and hD₄ receptors was determined by measuring the stimulation of [³⁵S]-GTPS (1332 Ci/mmol; NEN, Les Ulis, France) binding as described in Newman-Tancredi et al. (1997a). Briefly, CHO-D₄ membranes (50 µg protein) were incubated (20 min, 22°C) with agonists and/or antagonists in a buffer containing HEPES 20 mM (pH 7.4), GDP 3 µM, MgCl₂ 3 mM, NaCl 100 mM and [³⁵S]-GTPS 0.1 nM. Nonspecific binding was defined with GTPS (10 µM). Agonist efficacy was expressed relative to that of DA (= 100%), which was tested at a maximally effective concentration in each experiment. For antagonist tests, membranes were preincubated with agonist and a single concentration of antagonist for 30 min before the addition of [³⁵S]GTPS. For concentration-response curves of the inhibition of DA-stimulated [³⁵S]GTPS binding, K_b values were calculated as described in Newman-Tancredi et al. (1997a). Experiments were terminated by rapid filtration through Whatman GF/B filters (pretreated with 0.1% polyethyleneimine in the case of [³H]spiperone binding) using a Brandel cell harvester. Radioactivity retained on the filters was determined by liquid scintillation counting. Protein concentration was determined colorimetrically using a bicinchoninic acid assay kit (Sigma Chimie, St-Quentin-Fallavier, France). All results are expressed as means ± S.E.M. of  3 independent determinations.

In vivo studies. Male Wistar rats (220-240 g b.wt.) and, in most studies, NMRI mice (22-25 g) (Iffa-Credo, L'Arbresle, France) were housed in sawdust-lined cages with free access to chow and water. Laboratory temperature was 21°C ± 1.0°C and humidity was 60% ± 5%. There was a 12 hr/12 hr light-dark cycle with lights on at 7:30. Male CD₁ (ICR) BR mice (22-25 g) (Charles River, Saint-Aubin-les-Elbeuf, France) were used for the apomorphine-induced climbing and rotarod tests.

Influence on the electrical activity of dopaminergic neurons. As previously described in detail (Lejeune and Millan, 1995), rats were anesthetized with chloral hydrate (400 mg/kg i.p.), the femoral vein was catheterized and they were placed in a sterotaxic apparatus. A tungsten electrode was lowered into the ventrotegmental area according to coordinates derived from Paxinos and Watson (1986): AP: 5.5 from bregma, L: 0.7 and H: 9.7/8.5 from the dura. Dopaminergic neurons were identified as before, according to their wave-form (Lejeune et al., 1997; Wang, 1981), and base-line recording was performed over 5 min. Drugs were dissolved in sterile water and injected i.v. in a volume of 0.5 ml/kg, followed by a 0.1-ml saline flush. Drugs were administered alone (dose-response curves) cumulatively i.v. at intervals of 2 to 5 min. In antagonist studies, they were administered (1 dose per experiment) 2 min after a single injection of apomorphine (63 µg/kg i.v.). Data acquisition was performed with Spike 2 software (C.E.D., Cambridge, England), and results are expressed as firing rate (60-sec bins at time of peak drug action) as a percentage of base-line, preinjection values.

Influence on DA turnover and PRL levels. As described in detail previously (Gobert et al., 1995), the influence of drugs on DA turnover in rats was evaluated by measuring the levels of DA compared with its metabolite, DOPAC, in terminal regions of mesocortical (FCX), mesolimbic (accumbens and olfactory tubercles) and nigrostriatal (striatum) pathways 30 min after their s.c. injection. Tissues were homogenized in 500 µl of 0.1 M HClO₄ containing 0.5% Na₂S₂O₅ and 0.5% EDTA and then were centrifuged at 15,000 × g for 15 minutes at 4°C. Supernatants were diluted in the mobile phase. HPLC analysis followed by electrochemical detection was employed for determination of tissue levels of DA and DOPAC. The column characteristics and elution phases were as follows: column, hypersil ODS 5 µm, C18, 150 × 4.6 mm maintained at 25°C; mobile phase, KH₂PO₄, 100 mM, EDTA, sodium octylsulphonate (0.5 mM) and methanol 5% adjusted to pH 3.15 with PO₄H₃. The flow rate was 1 ml/min. Electrochemical detection was performed using a Waters M460 detector with a working potential of 850 mV against an Ag/AgCl reference. Levels of DA and DOPAC were expressed as a function of the tissue content of protein. The mean levels of DA, DOPAC and DOPAC/DA ratios determined in animals treated with vehicle were considered control values (100%). The influence of drugs was expressed as a percentage thereof. Data were analyzed by ANOVA followed by Dunnett's test, for which the level of significance was set at P < .05. PRL levels were determined in systemic plasma using a radioimmunoassay and a specific antibody against rat PRL (Amersham, Buckingham, England) as described previously (Millan et al., 1995a). Results were expressed as a percentage of values obtained in control, vehicle-treated animals. Data were analyzed by ANOVA followed by Dunnett's test. For DA turnover, AD₅₀ values plus 95% CL were calculated, and for PRL levels, drug potency was expressed in terms of the minimal effective dose (P < .05) derived from Dunnett's test.

Inhibition of 7-OH-DPAT- and PD 128,907-induced hypothermia. As detailed previously (Millan et al., 1995a), CT was determined in rats by use of thermistoprobe (Testoterm, Forbach, France) in loosely restrained rats over 30 sec. CT was determined and rats were injected with vehicle or drug, followed 30 min later by an injection of vehicle, 7-OH-DPAT (0.16 mg/kg s.c.) or PD 128,907 (0.63 mg/kg s.c.). After 30 min, CT was again measured and the difference in temperature to basal values was calculated. Data were analyzed by ANOVA followed by Dunnett's test, and ID₅₀ values plus 95% CLs were calculated. The percent inhibition was computed as follows:

Inhibition of rotation induced by quinpirole. The procedure employed was described in detail previously (Millan et al., 1995b). Briefly, rats were anesthetized with pentobarbital (45 mg/kg i.p.) and placed in a stereotaxic apparatus. The left substantia nigra pars compacta was injected, over 4 min, with 4.0 µl of 6-hydroxydopamine (2 µg/µl). After 3 weeks of recovery, those rats that showed a pronounced contralateral turning response to apomorphine (0.04 mg/kg s.c.) were selected for further study. Rats were trained with quinpirole (0.02 mg/kg s.c.), and rotation was recorded over the 20- to 50-min period after its application. Rotation was monitored automatically via a harness coupled to a Rotacount 8 microcomputer (Columbus Instruments, Columbus, OH). Rats received vehicle and quinpirole in alternating sessions. Rotation was expressed as a percentage of the mean of the sessions that preceded and those that followed drug treatment. Drugs were given 25 min before quinpirole. Data were analyzed by a paired Student's t test (P < .05) and ID₅₀ values (95% CLs) were calculated to estimate drug potency.

Apomorphine-induced climbing. As before (Millan et al., 1995b), mice were administered drug or vehicle and placed individually in upturned cylinders (14 cm in diameter, 14 cm high) with walls of vertical bars (2 mm in diameter, 1 cm apart). Thirty minutes later, they were injected with apomorphine (0.75 mg/kg s.c.) and placed again in the cylinders. Each animal was observed for climbing behaviour (total score: 0-4) at 10 and 20 min after the injection of apomorphine. Data (percentages of animals with total climbing score <2) were analyzed by Fisher's exact probability test (P < .05) and ED₅₀ values (95% CLs) were calculated to estimate drug potency.

Inhibition of amphetamine, cocaine-, dizocilpine- and PCP-induced locomotion. The procedure employed was as described previously by Maurel-Remy et al. (1995). Rats were administered drug or vehicle and placed in individual transparent polycarbonate cages (45 × 30 × 20 cm). Thirty minutes later, they were injected with amphetamine (2.5 mg/kg i.p.), cocaine (20 mg/kg i.p.), dizocilpine (0.16 mg/kg s.c.) or PCP (20.0 mg/kg s.c.), and the cages were placed in activity chambers (Lablinc System, Coulbourn, Lehigh Valley, PA). These were equipped with two infrared beams 4 cm above the floor and 24 cm apart. The consecutive interruption of two beams within 3 sec was computed as a movement (locomotor activity). Activity was monitored over 60 min after injection of amphetamine, cocaine, dizocilpine or PCP. Data were analyzed by ANOVA followed by Dunnett's test (P < .05), and ID₅₀ values (95% CLs) were calculated to estimate drug potency.

Inhibition of DOI-induced head-twitches. As described previously (Schreiber et al., 1995), rats were injected with DOI (2.5 mg/kg i.p.) and placed in transparent Plexiglas observation cages (33.5 × 23.5 × 19.0 cm) without a sawdust lining. Five minutes after the administration of DOI, the number of head-twitches was counted over 5 min. Drugs were given 30 min before DOI. Data were analyzed by ANOVA followed by Dunnett's test (P < .05), and ID₅₀ values (95% CLs) were calculated to estimate drug potency.

Conditioned avoidance paradigm. Rats used for the study were trained to move from one compartment of a shuttle-box (Letica, Barcelona, Spain) to the other when a stimulus light was on, in order to avoid an electric shock through the gridfloor. They were subjected to a daily session of 10 trials separated by 30-sec intertrial intervals. Each trial consisted of a 10-sec period (maximal duration) with the stimulus light on, followed or not by a 5-sec period (maximal duration) with an electric shock (560 µA), depending on the response of the animal to the stimulus light. The trial terminated once the rat had moved into the other compartment, either during the "light on" period (conditioned avoidance response) or during the shock period (escape response). Data were the number of conditioned avoidance responses (maximal value: 10) per session. The animals were their own controls, the control (vehicle) session being performed on the day before the test (drug) session. Vehicle or drugs were injected 30 min before the session. Data were analyzed by a paired Wilcoxon signed-rank test (P < .05), and ID₅₀ values (95% CLs) were calculated to estimate drug potency.

Determination of extracellular levels of DA, 5-HT and NAD in the FCX, accumbens and striatum. The procedure employed has been described in detail elsewhere (Gobert et al., 1995 and 1997). Under pentobarbital anesthesia (60 mg/kg i.p.), rats were placed in a stereotaxic apparatus, and a guide cannula was implanted in the FCX or in both the accumbens and the contralateral striatum. The coordinates, according to Paxinos and Watson (1986), were as follows. FCX (AP: +2.2, L: ±0.6, DV: 0.2); accumbens (AP: +1.8, L: +1.6, DV: 4.5) and striatum (AP: +0.5, L: 2.8, DV: 3.0). Five days later, a Cuprophan CMA/11 probe (4 mm (FCX and striatum) and 2 mm (accumbens), 0.24 mm outside diameter) was lowered into position and perfused at 1 µl/min with a phosphate-buffered Ringer solution (147.2 mM NaCl, 4 mM KCl and 2.3 mM CaCl₂, pH 7.3). Dialysis commenced 2 hr later, and samples were taken every 20 min. Three basal samples were taken; then the drug was injected. Samples were taken for a further 3 hr. Levels of DA, NAD and 5-HT were simultaneously quantified in individual samples via HPLC and coulometric detection with the following conditions. First, 20-µl dialysate samples were diluted with 20 µl of mobile phase (NaH₂PO₄: 75 mM, EDTA: 20 µM, sodium decanesulphonate: 1 mM, methanol: 17.5%, triethylamine 0.01%, pH: 5.70). Therefrom, 33-µl samples were analyzed by HPLC with a column (hypersil ODS 5 pm, C18, 150 × 4.6 mm, particle size, 5 µm) maintained at 43°C for separation and a coulometric detector (ESA 5014, Coulochem II) for quantification. The first electrode of the detector was set at 90 mV (reduction) and the second at +280 mV (oxidation). The mobile phase was delivered at a flow rate of 2 ml/min. The assay sensitivity was between 0.1 and 0.2 pg per sample for DA, NAD and 5-HT. Drug effects were expressed as a percentage of basal values (= 100%). Data were analyzed by a factorial ANOVA with drug as the between-subjects factor.

Induction of catalepsy. Catalepsy was measured as previously (Millan et al., 1995a). Rats were placed in a position wherein the left and right hind paws were placed over the ipsilateral forepaws. The time over which this position was maintained was determined, with a cutoff of 30 sec (100% effect). The mean of three measures, separated by 1-min intervals, was determined. Drugs were injected 30 min before testing. Data were analyzed by ANOVA followed by Dunnett's test, and AD₅₀ values (95% CLs) were calculated to estimate drug potency.

Inhibition of methylphenidate-induced gnawing. As before (Millan et al., 1995b), rats were administered methylphenidate (40.0 mg/kg i.p.) and placed in transparent Plexiglas observation cages (33.5 × 23.5 × 19.0 cm) with a grid floor. After 30 min, the number of periods (out of 10) with gnawing was determined over 10 min (one 10-sec observation period/min). Under such conditions, methylphenidate yielded a maximal response of 10. Drugs were administered 30 min before methylphenidate. Data were analyzed by ANOVA followed by Dunnett's test, and ID₅₀ values (95% CLs) were calculated to estimate drug potency.

Rotarod test: induction of ataxia. As before (Millan et al., 1995b), 30 min after drug or vehicle injection, mice were placed on the bar of the rotarod apparatus (Ugo Basile, Varese, Italy) rotating with a gradual acceleration from 4 to 40 rpm over a period of 300 sec. The latency of mice to fall was determined with a cutoff of 360 sec. For determination of drug potency, ID₅₀ values (95% CLs) were calculated with respect to values in vehicle-treated animals (defined as 100%).

Oral activity of S 18126. In several procedures (table 8), the activity of S 18126 was evaluated after its administration p.o. Under these conditions, S 18126 was given 60 min (rotarod) or 30 min (other tests) of pretesting, and its activity was expressed as a ratio to that obtained upon s.c. administration.

Drugs. All drugs were dissolved in sterile water with a few drops of lactic acid. The pH was adjusted to as close to neutrality as possible (> 5.0). Drugs were injected s.c. unless otherwise specified. In general, full dose-response curves were performed for all studies. However, in view of limitations of drug solubility, the highest doses of S 18126 and L 745,470 tested in rats/mice were 160.0/80.0 and 40.0/10.0 mg/kg s.c., respectively. Thus for both S 18126 and L 745,870, in all procedures employed, doses were used that may be assumed fully to occupy central D₄ receptors (see "Discussion"). Drug sources and salts were as follows: d-amphetamine sulfate (Calaire Chimie, Calais, France), cocaine hydrochloride (Coopérative Pharmaceutique Française, Melun, France), (±) DOI, (1-[2,5-dimethoxy-4-iodophenyl]-2-aminopropane hydrochloride (Research Biochemicals International, Natick, MA), apomorphine hydrochloride (Sigma Chimie, St Quentin-Fallavier, France), dizocilpine hydrogen maleate and raclopride tartrate (Research Biochemicals International, Natick, MA), methylphenidate hydrochloride (Ciba-Geigy) and PCP hydrochloride (Sigma Chimie, St Quentin-Fallavier, France). S 18126 and L 745,870 were synthetized by J.-L. Peglion (I.d.R.S.).

	Results

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Selectivity of S 18126 for hD₄ receptors. The affinity of S 18126 at hD_4.4 receptors (K_i = 2.4 nM) was similar to that of L 745,870 but > 2000-fold greater than that of raclopride (fig. 2; table 1). Like L 745,870, S 18126 was 100-fold more selective for hD₄ receptors than for other dopaminergic receptors (fig. 2; table 2). Furthermore, S 18126 showed low affinity at adrenergic, serotonergic, histaminergic and muscarinic receptors (table 3). S 18126 also displayed low affinity (> 1000 nM) for 5-HT, NAD, DA and choline reuptake sites; nicotinic, imidazoline I₂, adenosine A₁, adenosine A₂, AMPA, neurokinin₁, neurokinin₂, bradykinin B₂, L-type Ca⁺⁺ channel, site 2 Na⁺ channel, µ-opioid, cannabinoid, GABA_A, GABA_B, central benzodiazepine, NMDA, neuropeptide Y, endothelin-A, estrogen, progesterone and testosterone binding sites and MAO A, MAO B and NO synthase. Indeed, S 18126 was > 100-fold selective for hD₄ receptors over all sites tested except ₁ sites, which showed marked affinity for S 18126 (K_i = 1.6 ± 0.6 nM). L 745,870 showed modest affinity for ₁ sites (123 ± 48 nM), whereas the affinity of raclopride at ₁ sites was low (> 1000 nM).

View larger version (18K): [in this window] [in a new window]   Fig. 2.   Interaction of S 18126, L 745,870 and raclopride at DA hD4 compared with other DA receptor types. [3H]-Spiperone competition binding experiments were carried out at recombinant human hD4 (hD4.4), hD2 (hD2S) and hD3 receptors. Points shown are means of triplicate determinations from representative experiments repeated on at least three independent occasions. A) S 18126; B) L 745,870 and C) raclopride.

Antagonism by S 18126, L 745,870 and raclopride of agonist-stimulated [³⁵S]-GTPS binding at hD₄ and hD₂ receptors. At hD₄ receptors, S 18126 alone did not induce any stimulation of [³⁵S]-GTPS binding (fig. 3A) but concentration-dependently inhibited the stimulation of [³⁵S]-GTPS binding induced by 1 µM DA (fig. 3). L 745,870 likewise inhibited the action of DA at hD₄ sites (K_b = 1.0 ± 0.1 nM). S 18126 also antagonized the stimulation of [³⁵S]-GTPS binding at hD₄ receptors induced by 100 µM NAD (fig. 3B). DA stimulated [³⁵S]-GTPS binding at CHO-hD₄ membranes with an EC₅₀ of 107 ± 17 nM. The DA stimulation curve for [³⁵S]-GTPS binding to CHO-hD₄ membranes was concentration-dependently shifted to the right in the presence of fixed concentrations of S 18126 (fig. 3C). A Schild plot of the data yielded a linear isotherm with a slope close to unity and a pA₂ value of 8.90 ± 0.06 (fig. 3D). Compared with hD₄ receptors, S 18126 and L 745,870 only weakly inhibited DA (3 µM)-stimulated [³⁵S]-GTPS binding at hD₂ receptors (fig. 4). In contrast, raclopride potently inhibited [³⁵S]-GTPS binding at hD₂ receptors (fig. 4). DA stimulated [³⁵S]-GTPS binding to CHO-hD₂ membranes with an EC₅₀ of 353 ± 52 nM. The stimulation isotherm was not markedly altered by the addition of 30 nM S 18126 or 30 nM L 745,870 but was shifted 10-fold to the right by raclopride (30 nM) (fig. 4).

View larger version (22K): [in this window] [in a new window]   Fig. 3.   Antagonist actions of S 18126 at dopamine hD4 receptors as defined by the binding of [35S]-GTPS. [35S]-GTPS binding experiments were carried out on membranes of CHO cells expressing hD4 (hD4.4) receptors. A) Absence of stimulation of [35S]-GTPS binding by S 18126 alone and antagonism of 1 µM DA-stimulated [35S]-GTPS binding by S 18126 (IC50 = 23.7 ± 3.8 nM; Kb = 2.17 ± 0.35 nM). B) Inhibition of 1 µM NAD-stimulated [35S]-GTPS binding by S 18126 (IC50 = 42.7 ± 10.3 nM; Kb = 2.32 ± 0.56 nM). C) "Shift" of the DA stimulation curve by fixed concentrations of S 18126. D) Schild plot of data from panel C: r = 0.99 ± 0.01, slope = 1.08 ± 0.01 and pA2 = 8.90 ± 0.06.

View larger version (29K): [in this window] [in a new window]   Fig. 4.   Antagonist actions of S 18126, L 745,870 and raclopride at dopamine hD2 receptors as defined by the binding of [35S]-GTPS. [35S]-GTPS binding experiments were carried out on membranes of CHO cells expressing hD2 (hD2S) receptors. A) Absence of stimulation of [35S]-GTPS binding by S 18126, L 745,870 and raclopride alone and inhibition of 3 µM DA-stimulated [35S]-GTPS binding (IC50 = 1500 ± 630, 2780 ± 510 and 13.6 ± 0.4 nM; Kb for raclopride = 1.44 ± 0.03 nM). B) "Shift" of the DA stimulation curve by fixed concentrations (30 nM) of S 18126, L 745,870 and raclopride: EC50, DA alone = 353 ± 52 nM; DA, S 18126 (30 nM) = 637 ± 123 nM; DA, L 745,870 (30 nM) = 456 ± 49 nM and DA, raclopride (30 nM) = 3570 ± 470 nM. Kb for raclopride = 2.79 ± 0.34 nM.

Activity at presynaptic dopaminergic receptors: influence on the activity of dopaminergic neurons. As shown in figure 5, raclopride markedly increased DA turnover throughout the brain, whereas S 18126 exerted only minor effects even at high doses, and L 745,870 was ineffective. Similarly, whereas raclopride increased the firing rate of ventrotegmental area-localized dopaminergic neurons, their activity was little affected by either S 18126 or L 745,870 (fig. 6). Raclopride also potently blocked the inhibition of firing elicited by the dopaminergic agonist apomorphine, whereas only a high dose of S 18126 interfered (partially) with the action of apomorphine, and L 745,870 was inactive (fig. 6).

View larger version (18K): [in this window] [in a new window]   Fig. 5.   Influence of S 18126, as compared with L 745,870 and raclopride, on the turnover of DA in various cerebral tissues. Data are means ± S.E.M.; N = 4 to 6 per value. Values (ratio of DOPAC to DA levels) are expressed as a percentage of those in control, vehicle-treated animals (= 100%). Absolute levels, in nanograms per milligram of protein, were as follows. Frontal cortex, DA = 2.50 ± 0.23 and DOPAC = 1.26 ± 0.21; nucleus accumbens, DA = 94.69 ± 11.52 and DOPAC = 12.23 ± 1.01; olfactory tubercles; DA = 40.95 ± 2.85 and DOPAC = 7.74 ± 0.86; striatum, DA = 128.42 ± 9.18 and DOPAC = 12.91 ± 0.76. Results of one-way ANOVA were as follows. S 18126: frontal cortex, F(3,22) = 4.1, P < .05; nucleus accumbens, F(3,21) = 12.9, P < .01; olfactory tubercles, F(3,22) = 4.9, P < .01 and striatum, F(3,21) = 9.7, P < .01. L 745,870: frontal cortex, F(2,10) = 0.7, P > .05; nucleus accumbens, F(2,10) = .4, P > .05; olfactory tubercles, F(2,10) = 1.3, P > .05 and striatum, F(2,10) = 1.3, P > .05. Raclopride: frontal cortex, F(6,42) = 22.5, P < .01; nucleus accumbens, F(6,42) = 88.9, P < .01; olfactory tubercles, F(6,42) = 22.9, P < .01 and striatum, F(6,42) = 25.7, P < .01. Asterisks indicate significance of differences from vehicle values in Dunnett's test. * P < .05.

View larger version (17K): [in this window] [in a new window]   Fig. 6.   Influence of S 18126, compared with L 745,870 and raclopride, on the firing rate of dopaminergic neurons in the ventrotegmental area. Data are means ± S.E.M.; N = 4 to 5 per value. Results of one-way ANOVA were as follows. S 18126 alone, F(2,24) = 0.5, P > .05 and vs. apomorphine, F(2,24) = 7.6, P < .05. L 745,870 alone, F(2,24) = 0.9, P > .05 and vs. apomorphine, F(2,24) = 0.6, P > .05. Raclopride alone, F(3,32) = 41.9, P < .001 and vs. apomorphine, F(3,32) = 12.9, P < .001. Asterisks indicate significance of differences from vehicle values in Dunnett's test. * P < .05.

Activity at postsynaptic dopaminergic receptors: hypothermia and rotation. The dopaminergic agonists 7-OH-DPAT and PD 128,907 elicited a hypothermia that was potently and dose-dependently inhibited by raclopride. In contrast, only high doses of S 18126 and L 745,870 inhibited the induction of hypothermia by these agonists (table 3; fig. 7A and B). None of the antagonists modified CT when administered alone. In rats sustaining unilateral lesions of the substantia nigra pars compacta, the dopaminergic agonist quinpirole elicited contralateral rotation. This action was potently abolished by raclopride, whereas S 18126 and L 745,870 only weakly modified the effect of quinpirole even at high doses (table 3 and fig. 7C). Administered alone, they did not elicit rotation (not shown).

View larger version (14K): [in this window] [in a new window]   Fig. 7.   Influence of S 18126, compared with L 745,870 and raclopride, on the induction of hypothermia by 7-OH-DPAT and PD 128,907 and on the induction of rotation by quinpirole in rats with unilateral lesions of the substantia nigra pars compacta. A) Influence of antagonists alone (open symbols) on core temperature and on the induction of hypothermia by 7-OH-DPAT (filled symbols). B) Influence of antagonists on the induction of hypothermia by PD 128,907. Panel C) Influence of antagonists on the induction of rotation by quinpirole. Data are means ± S.E.M.; N = 4 to 8 per value. Results of one-way ANOVA were as follows. Hypothermia: S 18126 alone, F(3,22) = 1.0, P > .05; vs. 7-OH-DPAT, F(4,26) = 11.2, P < .001; vs. PD 128,907, F(4,24) = 10.8, P < .01. L 745,870 alone, F(3,20) = 1.7, P > .05; vs. 7-OH-DPAT, F(3,21) = 3.3, P < .05; vs. PD 128,907, F(4,18) = 6.2, P < .01. Raclopride alone, F(3,37) = 2.9, P > .05; vs. 7-OH-DPAT, F(4,39) = 26.6, P < .001; vs. PD 128,907, F(5,26) = 20.6, P < .001. VEH = vehicle. Asterisks indicate significance of differences from vehicle values in Dunnett's test (hypothermia) and in paired Student's t test (rotation). * P < .05.

Activity in models predictive of antipsychotic activity. As shown in table 4 and figure 8, raclopride was potently active in several models predictive of antipsychotic properties: inhibition of amphetamine-, dizolcipine-, cocaine- and PCP-induced locomotion in rats, inhibition of apomorphine-induced climbing in mice, reduction of conditioned avoidance responses in rats and inhibition of DOI-induced head-twitches in rats. S 18126 displayed only modest activity in several of these models, even over a much higher dose range than for raclopride. Over the dose range tested, L 745,870 was also weakly active in these models.

View larger version (19K): [in this window] [in a new window]   Fig. 8.   Influence of S 18126, compared with L 745,870 and raclopride, in several models predictive of antipsychotic (antiproductive) activity. A) Inhibition of locomotion elicited by amphetamine (2.5 mg/kg i.p.). B) Inhibition of locomotion elicited by cocaine (20 mg/kg i.p.). C) Inhibition of locomotion elicited by dizocilpine (0.16 mg/kg s.c.). D) Inhibition of climbing elicited by apomorphine (0.75 mg/kg s.c.). E) Inhibition of conditioned avoidance responses F) Inhibition of head-twitches evoked by DOI (2.5 mg/kg i.p.). Data are means ± S.E.M.; N = 4 to 18 per value. Results of one-way ANOVA were as follows. Amphetamine-induced locomotion: S 18126, F(7,47) = 3.6, P < .01; L 745,870, F(6,43) = 2.0, P > .05; raclopride, F(3,61) = 12.0, P < .01. Cocaine-induced locomotion: S 18126, F(3,24) = 5.1, P < .05; L 745,870, F(3,21) = 1.4, P > .05; raclopride, F(4,30) = 8.12, P < .01. Dizocilpine-induced locomotion: S 18126, F(3,32) = 1.4, P > .05; L 745,870, F(3,21) = 1.2, P > .05; raclopride, F(5,37) = 8.1, P < .01. DOI-induced head-twitches: S 18126, F(4,26) = 4.7, P < .05; L 745,870, F(2,12) = 0.5, P > .05; raclopride, F(4,38) = 6.1, P < .01. VEH = vehicle. Asterisks indicate significance of differences from vehicle values in Dunnett's test, the Fisher test (apomorphine-climbing) or the paired Wilcoxon test (conditioned avoidance responses). * P < .05.

Influence on extracellular levels of DA, NAD and 5-HT in the FCX, accumbens and striatum. Injection of vehicle did not markedly modify basal levels of monoamines, although there was a slight and transient increase in levels of NAD (fig. 9B). Raclopride potently and dose-dependently increased FCX dialysate levels of DA (fig. 9), and a further increase in its dose to 2.5 mg/kg s.c. did not yield any additional effect (not shown). At a dose of 0.16, raclopride also significantly increased levels of NAD, although those of 5-HT were not significantly modified. At a maximally effective dose (0.16) for increasing FCX levels of DA, raclopride also, and more markedly, increased dialysate levels of DA in both the nucleus accumbens and the striatum. At a dose of 0.16 mg/kg s.c., S 18126 failed to modify levels of DA, NAD or 5-HT in FCX (fig. 10). Over a higher dose range (2.5-40.0 mg/kg s.c.), S 18126 dose-dependently and markedly increased levels of both DA and NAD in FCX, whereas those of 5-HT were not significantly modified. In contrast to the FCX, levels of DA were not significantly modified by a maximally effective dose of S 18126 (40.0) in either nucleus accumbens or striatum. L 745,870 (fig. 11) also failed to modify FCX levels of DA, NAD and 5-HT at a dose of 0.16 mg/kg s.c. Although it tended to increase levels of DA and NAD at a higher dose (2.5), this action was not significant.

View larger version (19K): [in this window] [in a new window]   Fig. 9.   Influence of raclopride on extracellular levels of DA, NAD and 5-HT in single samples of FCX, nucleus accumbens (ACC) and striatum (STR) dialysates of freely moving rats. Data presented in panel D are the same as those in panel A (0.16 mg/kg s.c.) and permit easier comparison with panels E and F. Data are means ± S.E.M.; N = 5 to 10 per value of DA; NAD and 5-HT levels are expressed as a percentage of basal preinjection values (= 100%). Absolute levels (in picograms per 20 microliters) were as follows. FCX, 1.25 ± 0.08, 1.09 ± 0.11 and 0.71 ± 0.06 for DA, NAD and 5-HT, respectively; nucleus accumbens, 5.48 ± 0.77 for DA and striatum, 16.94 ± 2.99 for DA. For comparison of individual values with vehicle-treated group, a factorial ANOVA with drugs as the between-subjects factor was performed over 20 to 180 min. FCX: raclopride (0.00063), DA, F(1,16) = 0.2, P > .05; NAD, F(1,14) = 0.1, P > .05 and 5-HT, F(1,10) = 1.6, P > .05; raclopride (0.01), DA, F(1,17) = 9.8, P < .01; NAD, F(1,15) = 0.1, P > .05 and 5-HT, F(1,9) = 0.1, P > .05; raclopride (0.16), DA, F(1,19) = 14.5, P < 0.1; NAD, F(1,19) = 6.5, P < .05 and 5-HT, F(1,12) = 1.5, P < .05. Nucleus accumbens: raclopride (0.16), DA, F(1,11) = 9.4, P < .01. Striatum: raclopride (0.16), DA, F(1,14) = 22.3, P < .01. The asterisks indicate significance of the difference between the drug-treated group and the vehicle-treated group. * P < .05.

View larger version (21K): [in this window] [in a new window]   Fig. 10.   Influence of S 18126 on extracellular levels of DA, NAD and 5-HT in single samples of FCX, nucleus accumbens (ACC) and striatum (STR) dialysates of freely moving rats. Data in panel D are the same as those in panel A (40.0 mg/kg s.c.) and permit easier comparison with panels E and F. Data are means ± S.E.M.; N = 5 to 8 per value of DA; NAD and 5-HT levels are expressed as a percentage of basal preinjection values (= 100%). For comparison of individual values with vehicle-treated group, a factorial ANOVA with drugs as the between-subjects factor was performed over 20 to 180 min. FCX: S 18126 (0.16), DA, F(1,18) = 0.1, P > .05; NAD, F(1,16) = 0.1, P > .05 and 5-HT, F(1,11) = 0.1, P > .05; S 18126 (2.5), DA, F(1,17) = 0.4, P > .05; NAD, F(1,15) = 0.1, P > .05 and 5-HT, F(1,9) = 4.4, P > .05; S 18126 (10.0), DA, F(1,18) = 8.5, P < .01; NAD, F(1,15) = 6.7, P < .05 and 5-HT, F(1,10) = 0.1, P > .05; S 18126 (40.0), DA, F(1,19) = 11.3, P < .01; NAD, F(1,17) = 11.8, P < .01 and 5-HT, F(1,10) = 0.1, P > .05. Nucleus accumbens: S 18126 (40.0), DA, F(1,12) = 0.49, P > .05. Striatum: S 18126 (40.0), DA, F(1,10) = 0.02, P > .05. The asterisks indicate significance of the difference between the drug-treated group and the vehicle-treated group. * P < .05.

View larger version (18K): [in this window] [in a new window]   Fig. 11.   Influence of L 745,870 on extracellular levels of DA, NAD and 5-HT in single samples of FCX dialysates of freely moving rats. Data are means ± S.E.M.; N = 6 to 8 per value. DA, NAD and 5-HT levels are expressed as a percentage of basal preinjection values (= 100%). For comparison of individual values with vehicle-treated group, a factorial ANOVA with drugs as the between-subjects factor was performed over 20 to 180 min. L 745,870 (0.16), DA, F(1,18) = 0.1, P > .05; NAD, F(1,16) = 0.2, P > .05 and 5-HT, F(1,10) = 5.0, P > .05; L 745,870 (2.5), DA, F(1,19) = 1.8, P > .05; NAD, F(1,17) = 3.4, P > .05 and 5-HT, F(1,11) = 0.9, P > .05.

Activity in models predictive of extrapyramidal actions. Raclopride elicited catalepsy and PRL secretion and inhibited induction of gnawing by the DA releaser methylphenidate (table 5; fig. 12). It also induced ataxia in the rotarod procedure in mice and reduced spontaneous locomotor activity (table 5; fig. 12). In contrast, S 18126 and L 745,870 displayed only weak activity, even at high doses (table 5; fig. 12). S 18126 did not modify the cataleptic actions of haloperidol (2.5 mg/kg s.c.): vehicle/haloperidol (n = 4), 29.4 ± 0.6 sec vs. S 18126 (0.01 mg/kg s.c.)/haloperidol (n = 4), 26.7 ± 1.4 sec, S 18126 (0.16 mg/kg s.c.)/haloperidol (n = 4), 29.3 ± 0.7 sec, S 18126 (2.5 mg/kg s.c.)/haloperidol (n = 4), 29.0 ± 1.0 sec and S 18126 (40.0 mg/kg s.c.)/haloperidol (n = 4), 24.7 ± 1.9 sec, P > .05. 

View larger version (19K): [in this window] [in a new window]   Fig. 12.   Influence of S 18126, compared with L 745,870 and raclopride, on several parameters predictive of the induction of an extrapyramidal syndrome or disruption of motor behavior. A) Induction of catalepsy. B) Inhibition of the gnawing elicited by methylphenidate (40.0 mg/kg i.p.). C) Inhibition of latency to fall in the rotarod test. D) Inhibition of spontaneous locomotion in mice. E) Inhibition of spontaneous locomotion in rats. F) Increase in PRL levels. Data are means ± S.E.M.; N = 4 to 10 per value. Results of ANOVA were as follows. Catalepsy: S 18126, F(5.41) = 0.5, P > .05; L 745,870, F(2,12) = 1.2, P > .05 and raclopride, F(5,38) = 14.5, P < .01. Gnawing: S 18126, F(2,11) = 2.0, P > .05; L 745,870, F(2,17) = 2.3, P > .05 and raclopride, F(4,22) = 47.2, P < .01. Ataxia: S 18126, F(3,21) = 15.4, P < .01; L 745,870, F(3,17) = 41.2, P < .01 and raclopride, F(5,38) = 9.9, P < .01. Locomotion, mice: S 18126, F(3,20) = 7.7, P < .05; L 745,870, F(3,22) = 3.0, P < .05 and raclopride, F(5,37) = 9.3, P < .01. Locomotion, rat: S 18126, F(6,53) = 7.8, P < .01; L 745,870, F(4,28) = 3.8, P < .05 and raclopride, F(4,17) = 6.5, P < .01 and PRL: S 18126, F(2,15) = 1.4, P > .05; L 745,870, F(2,10) = 0.9, P > .05 and raclopride, F(6,14) = 12.9, P < .01. Asterisks indicate significance of differences from vehicle values in Dunnett's test. * P < .05.

Correlation analyses with benzamides. In analogy to raclopride, several further benzamides displayed activity in the functional models employed herein (table 6), although with markedly different potencies. These models included a test of activity at postsynaptic dopaminergic receptors (inhibition of 7-OH-DPAT-induced hypothermia), two models of antipsychotic activity (inhibition of apomorphine-induced climbing and inhibition of conditioned avoidance responses) and a model predictive of extrapyramidal properties (induction of catalepsy). A comparison of their potencies, together with those of S 18126 and L 745,870, with their affinities at hD₄ receptors failed to reveal a significant degree of correlation (table 7). In contrast, there was a pronounced correlation between drug potency in each procedure and affinity at hD₂ receptors (table 7; fig. 13). (Correlation coefficients were also significant for affinities at hD₃ receptors. However, because the drugs used herein all have similar affinities at hD₂ and hD₃ sites, the respective, putative roles of D₂ and D₃ receptors could not be differentiated by this analysis (Millan et al., 1995a). The present data suggest that D₂ (or D₃) rather than D₄ receptors play a role in the functional models employed. Further, they provide an indication of the doses at which S 18126, L 745,870 and racloprideall of which were situated close to the regression curves of the correlation analysesexert their actions at D₂ receptor in vivo (fig. 13). Bearing in mind the relative affinities of S 18126 and L 745,870 at hD₄ vs. hD₂ receptors, doses about 100-fold lower may thus be predicted to be D₄-selective (see "Discussion").

View larger version (23K): [in this window] [in a new window]   Fig. 13.   Correlation analysis of drug affinity at hD2 receptors vs. activity in various functional models. Note that S 18126 and L 745,870 are both close to regression lines. For r values, see table 7.

Activity of S 18126 upon p.o. administration. Upon p.o. administration, S 18126 displayed activity in several models of potential antipsychotic activity, with a maximal effect comparable to that seen by the s.c. route (table 8). It was also active in the rotarod test upon p.o. injection, although only at very high doses. The median ratio for activity by the p.o. as compared with the s.c. route was 1.6. 

	Discussion

Top Abstract Introduction Materials & Methods Results Discussion References

Interaction of S 18126 with recombinant hD₂ and hD₄ receptors. Both equilibrium competition binding and functional G protein activation studies demonstrated the marked (> 100-fold) selectivity of S 18126 for hD₄ receptors vs. other dopaminergic receptor types. In line with previous observations (Asghari et al., 1995; Bristow et al., 1997; Kugalowski et al., 1996; Millan et al., 1995a and b; Patel et al., 1996b), this marked selectivity of S 18126 for hD₄ receptors was shared by L 745,870 and opposite to the receptor profile of raclopride, which exhibited high activity at hD₂ and hD₃ receptors yet low affinity for D₄ receptors. S 18126 likewise displayed pronounced selectivity for hD₄ receptors compared with a broad range of about 50 other binding sites (table 2 and "Results") with the exception of ₁ sites, the potential significance of which is discussed below.

Actions of S 18126 at presynaptic dopaminergic receptors in vivo: modulation of dopaminergic transmission. There is substantial anatomical (Baik et al., 1995, Bouthenet et al., 1991; Diaz et al., 1995), electrophysiological (Bowery et al., 1996; Lejeune and Millan, 1995; Mercuri et al., 1997), behavioral (Sanger et al., 1996) and biochemical (Bowery et al., 1996; Cooper et al., 1996