Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2017 Mar 1.
Published in final edited form as: Alcohol. 2016 Jan 29;51:43–49. doi: 10.1016/j.alcohol.2015.11.012

Species differences in the effects of the κ-opioid receptor antagonist zyklophin

Sunil Sirohi 1,2, Jane V Aldrich 5, Brendan M Walker 1,2,3,4,*
PMCID: PMC4879959  NIHMSID: NIHMS755710  PMID: 26992699

Abstract

We have shown that dysregulation of the dynorphin/kappa-opioid receptor (DYN/KOR) system contributes to escalated alcohol self-administration in alcohol dependence and that KOR antagonists with extended durations of action selectively reduce escalated alcohol consumption in alcohol-dependent animals. As KOR antagonism has gained widespread attention as a potential therapeutic target to treat alcoholism and multiple neuropsychiatric disorders, we tested the effect of zyklophin (a short-acting KOR antagonist) on escalated alcohol self-administration in rats made alcohol-dependent using intermittent alcohol vapor exposure. Following dependence induction, zyklophin was infused centrally prior to alcohol self-administration sessions and locomotor activity tests during acute withdrawal. Zyklophin did not impact alcohol self-administration or locomotor activity in either exposure condition. To investigate the neurobiological basis of this atypical effect for a KOR antagonist, we utilized a κ-, μ-, and δ-opioid receptor agonist-stimulated GTPyS coupling assay to examine the opioid receptor specificity of zyklophin in the rat brain and mouse brain. In rats, zyklophin did not affect U50488-, DAMGO-, or DADLE-stimulated GTPyS coupling, whereas the prototypical KOR antagonist nor-binaltorphimine (norBNI) attenuated U50488-induced stimulation in the rat brain tissue at concentrations that did not impact μ- and δ-receptor function. To reconcile the discrepancy between the present rat data and published mouse data, comparable GTPyS assays were conducted using mouse brain tissue; zyklophin effects were consistent with KOR antagonism in mice. Moreover, at higher concentrations, zyklophin exhibited agonist properties in rat and mouse brains. These results identify species differences in zyklophin efficacy that, given the rising interest in the development of short-duration KOR antagonists, should provide valuable information for therapeutic development efforts.

Keywords: alcohol dependence and withdrawal, GTPyS coupling, kappa-opioid receptor, alcohol self-administration, zyklophin

Introduction

Alcoholism, a chronic relapsing disorder characterized by continued alcohol use despite numerous adverse consequences, has a prevalence of ~5.3% in the United States, with ~4.4% of the population diagnosed as alcohol-dependent (Lee et al., 2010). An impaired physiological state accompanied by negative affective states and impaired cognitive control are devastating symptoms of alcoholism that promote excessive alcohol consumption and can adversely affect treatment outcome (Dvorak, Lamis, & Malone, 2013; Leeman, Fenton, & Volpicelli, 2007; Walker & Koob, 2008). However, none of the FDA-approved drugs target these symptoms of alcohol dependence and as such there is a pressing need for better therapeutics that could increase treatment compliance and reduce relapse episodes.

Kappa-opioid receptors (KORs) and their endogenous ligand, dynorphin (DYN) (Chavkin, James, & Goldstein, 1982), are present and positioned to modulate numerous neurotransmitters in motivational and emotional neurocircuitry (Sirohi, Bakalkin, & Walker, 2012; Tejeda et al., 2013; Tejeda, Shippenberg, & Henriksson, 2011). Alterations in the DYN/KOR system in motivational, emotional, and decision-making circuitry have been posited to contribute to multiple neuropsychiatric disorders, including alcohol dependence (Barg et al., 1993; Bazov et al., 2013; Hiller, Itzhak, & Simon, 1987; Risser et al., 1996). Recently, it was shown that dysregulation of the DYN/KOR system contributes to behavioral deficits that drive an organism to excessively seek and use alcohol in alcohol dependence (Walker & Koob, 2008; Walker, Valdez, McLaughlin, & Bakalkin, 2012), due to the fact that site-specific blockade of the DYN/KOR system alleviates alcohol dependence-induced negative affective states and escalated alcohol consumption (Berger, Williams, McGinnis, & Walker, 2013; Kissler et al., 2014; Nealey, Smith, Davis, Smith, & Walker, 2011; Valdez & Harshberger, 2012; Walker & Koob, 2008).

As a result of such evidence, the KOR has been proposed as a potential therapeutic target to treat addictive and neuropsychiatric disorders such as alcohol dependence and depression (Aldrich & McLaughlin, 2009; Knoll & Carlezon, 2010; Shippenberg, Zapata, & Chefer, 2007; Tejeda et al., 2011; Walker et al., 2012). An extended duration of action, lasting from weeks to months, characterizes classical KOR antagonists (Chartoff et al., 2012; Melief et al., 2011; Metcalf & Coop, 2005; Schlosburg et al., 2013; Walker, Zorrilla, & Koob, 2011; Whitfield et al., 2015), and general opioid-receptor antagonists with an extended duration of action are currently approved for the treatment of alcohol dependence in the USA (Mannelli, Peindl, Masand, & Patkar, 2007). However, an alternate strategy for the treatment of alcohol dependence using a short-acting mixed mu-opioid receptor antagonist/partial KOR agonist (nalmefene; prescribed for use on an as-needed basis) was recently approved for use in the European Union (Mann, Bladström, Torup, Gual, & van den Brink, 2013). However, all currently approved opioid-receptor ligands for the treatment of alcohol dependence modulate the function of multiple opioid receptors. Given the wealth of preclinical data implicating modification of aberrant signaling through KORs as a potential therapeutic target, there have been considerable efforts to develop novel KOR-selective antagonists with a short duration of action.

Zyklophin ([N-benzyl-Tyr1-cyclo(d-Asp5,Dap8)]dynorphin A(1–11)NH2), a cyclic peptide with a short duration (<12 h) of action, has recently been characterized as a novel KOR antagonist in mouse models (Aldrich, Patkar, & McLaughlin, 2009). In the present study, we evaluated zyklophin efficacy for attenuating excessive alcohol consumption during withdrawal in alcohol-dependent rats. We have previously shown that the long-acting KOR antagonist norBNI selectively attenuated withdrawal-induced escalation of alcohol self-administration in alcohol-dependent rats (Kissler et al., 2014; Kissler & Walker, 2015; Nealey et al., 2011; Walker & Koob, 2008), and it was hypothesized that zyklophin would show selective efficacy in dependent animals for reducing excessive alcohol self-administration during acute withdrawal.

Materials and methods

Animals

Male Wistar rats or C57BL/6J mice ~70 days of age were used in the experiments. Upon arrival, animals were housed in an environmentally controlled vivarium with food and water available ad libitum and were gently handled on a daily basis. All work adhered to the Guide for the Care and Use of Laboratory Animals (National Research Council, 2011) and followed Institutional Animal Care and Use Committee guidelines. All efforts were made to minimize animal suffering, to reduce the number of animals used, and to utilize alternatives to in vivo techniques, if available.

Operant alcohol self-administration

Rats were trained to self-administer a 10% alcohol (w/v) solution using a sweetener-fade method (Kissler et al., 2014; Nealey et al., 2011; Samson, 1986; Walker & Koob, 2008). In standard operant chambers (Med Associates, St. Albans, VT), rats pressed a single lever and received 0.1 mL of solution. Following stability (<10% deviation over 3 sessions), the animals were divided into two groups (n = 8/group) that were matched for baseline alcohol self-administration. Half of these animals underwent alcohol self-administration studies and the other half were tested for locomotor activity.

Surgical procedure

Bilateral guide cannulae were implanted in the lateral ventricles using stereotaxic coordinates (from bregma: DV: −3.7; AP: −0.8; and ML: ±1.5; Paxinos & Watson, 2005) under isoflurane gas anesthesia (~2%) and secured to the skull with four jeweler screws and dental acrylic. To preserve patency and reduce risk of infection, obturators were inserted into each guide cannulae. Following surgery, rats were allowed to recover for one week and post-operative care (saline, Flunixin, Baytril, subcutaneous injection) was provided during that time. Following the conclusion of the experiments, cannulae placements were confirmed by injecting 1 µL 0.6% cresyl violet over 1 min, extracting the brain, and confirming intraventricular dye penetration.

Intermittent alcohol-vapor exposure

Following recovery, rats were subjected to alcohol vapor according to an intermittent schedule (14 h on, 10 h off), with controls exposed to air. This procedure reliably induces alcohol dependence-like phenotypes (e.g., escalated self-administration and negative affective-like behavior) as shown previously (Kissler et al., 2014; Walker & Koob, 2008). Blood ethanol concentrations (BECs) were analyzed from samples collected prior to daily vapor termination using the Analox AM1 (Analox Instruments Ltd., Lunenberg, MA). BECs were also assessed prior to any behavioral testing. Target BECs of 175–225 mg% were maintained throughout the experiments.

Drugs

Zyklophin-HCl (J. Aldrich, University of Kansas) was dissolved in artificial cerebral spinal fluid (aCSF) (pH 7.2–7.4), composed of 145-mM NaCl, 2.8-mM KCl, 1.2-mM MgCl2, 1.2-mM CaCl2, 5.4-mM d-glucose, and 0.25-mM ascorbic acid, or assay buffer. NorBNI and U50488 were purchased from Tocris Bioscience (Ellisville, MO). DAMGO and DADLE were purchased from Sigma Chemical Co. (St. Louis, MO). All drugs for GTPyS coupling assay were dissolved in the assay buffer.

Infusions

Following air or intermittent alcohol-vapor exposure, rats self-administered 10% alcohol (w/v) for 30 min twice per week during acute withdrawal (6–8 h after vapor termination) in operant chambers. Upon stability (<10% deviation over 3 days), rats received sham intracerebroventricular (ICV) infusions via insertion of internal cannulae into the guide cannulae for 2 min, followed by a 1.0-h waiting period before self-administration testing. Once stability was again achieved (<10% over 2 sessions), animals were infused with 1.0 µL of aCSF on each side over 1 min with the internal cannulae remaining in place for 1 min to allow for vehicle diffusion. Infusions of aCSF were repeated until stability was achieved again (<10% deviation over 2 sessions). Sham and aCSF infusions were performed to habituate the animal to the infusion process.

Pharmacology

After stable alcohol self-administration was demonstrated following aCSF infusions, rats received ICV infusions of zyklophin (0.0–30.0 nmol in 1 µL aCSF over 60 sec). To control for drug-order and carry-over effects, zyklophin was administered according to a within-subject Latin-square design counterbalanced for drug dose with a vehicle (aCSF) dose included. One hour following infusions, rats were allowed to selfadminister 10% alcohol (w/v) for 30 min.

Locomotor activity testing

Separate groups (n = 4–5/group) of rats were tested for locomotor activity following ICV infusion of aCSF or the highest zyklophin dose (30 nmol). As explained above, rats were subjected to intermittent alcohol-vapor exposure and controls were airexposed. Following dependence induction, during acute withdrawal rats received sham and aCSF infusions to habituate the animals to the infusion process. Finally, all rats received ICV infusions of aCSF or zyklophin (30 nmol) and 1 h later were placed in a clean cage identical to their home cages. The animals were allowed to explore for 10 min and AnyMaze video tracking software (Stoelting Co., Wood Dale, IL) was used to measure distance traveled.

[35S] GTPyS assay

Assays were conducted as described previously (Kissler et al., 2014; Mizoguchi et al., 2004), with some modifications. Rat accumbens or mouse whole brain tissue was examined. Briefly, tissue was homogenized (40–45 strokes; glass homogenizer with Teflon™ plunger; on ice) in 1.5 mL (rat tissue) or 15 mL (mouse whole brain) of membrane buffer (pH 7.4, 50.0-mM Tris-HCl, 3.0-mM MgCl2, and 1.0-mM EGTA). Homogenates were centrifuged (15,000 rpm, 4 °C for 30 min), re-suspended in 1.5 mL (rat brain tissue) or 30 mL (mouse whole brain) membrane buffer, homogenized (12–15 strokes; on ice) again and finally centrifuged. Pellets were homogenized (12–15 strokes; on ice) in 1.5 mL (rat brain tissue) or 20 mL (mouse whole brain) assay buffer (pH 7.4, 50.0-mM Tris-HCl, 3.0-mM MgCl2, 0.2-mM EGTA, 100.0-mM NaCl). Protein estimation was conducted using BCA protein assay (Pierce).

Homogenized (12–15 strokes; on ice) before addition, protein homogenate (3.0 µg) was incubated with U50488 (a KOR agonist; 5.0 µM for rat tissue or 10 µM for mouse tissue), DADLE (a delta-opioid receptor agonist; 0.5 µM) or DAMGO (a mu-opioid receptor agonist; 0.5 µM) in the presence of norBNI (0–0.02 µM for rat tissue or 0–0.05 µM for mouse tissue) or zyklophin (0.0–5.0 µM) in triplicate for 90 min at 25 °C, with 50- µM GDP and 0.05-nM (rat tissue) or 0.1-nM (mouse tissue) [35S] GTPγS in a total volume of 1.0 mL. Unlabeled GTPγS (10.0 µM) was used to assess nonspecific binding. Specific binding was obtained by subtracting nonspecific binding from total binding. The reaction was quickly terminated by filtration through Whatman GF/B glass fiber filters using a cell harvester (Brandel, Gaithersburg, MD), followed by 3–5 washes with ice-cold phosphate buffer (pH 7.4). Bound radioactivity on the filters was counted by liquid scintillation spectrophotometry on the following day.

Data analysis

A mixed-model two-way analysis of variance (ANOVA) compared the baseline and post-dependence ethanol self-administration for the vapor- and air-exposed animals. The within-subject variable was session (the average of the final two stable self-administration sessions prior to and following the dependence induction period) and the between-groups variable was level of vapor exposure (air or vapor exposure). Subsequently, univariate analysis for alcohol self-administration prior to and following the dependence induction period was individually conducted for the air- and vapor-exposed groups. In air- and vapor-exposed animals, zyklophin dose-response data for operant alcohol self-administration (g/kg) was analyzed using a mixed-model two-way ANOVA with exposure condition as the between-groups factor and dose as the within-subject factor. Univariate ANOVAs were used to individually compare locomotion (distance traveled) following aCSF or zyklophin [30 nmol] in air- or vapor-exposed animals.

A two-way repeated-measures ANOVA was used to compare the effect of the agonists and/or antagonists on basal signaling state in the GTPγS assay. Individual concentration-response curves were analyzed using a one-way ANOVA. Post hoc Least Significant Difference (LSD) tests were conducted if a main effect for dose was found.

Results

Chronic intermittent alcohol exposure resulted in significant escalation of alcohol self-administration in alcohol-dependent rats compared to air-exposed controls (Fig. 1). A mixed-model ANOVA revealed a significant main effect of alcohol exposure (F[1,14] = 29.015, p < 0.001, power = 0.999) and a significant interaction (F[1,14] = 15.850, p = 0.001, power = 0.959) indicating successful induction of alcohol dependence. Fig. 2 displays the effect of zyklophin (0–30 nmol) on alcohol dependence-induced escalated alcohol self-administration. The mixed-model ANOVA identified a main effect of vapor (F[1,6] = 18.244, p = 0.005, power = 0.942), whereas no significant differences were found for zyklophin dose (p > 0.05, power = 0.352). Zyklophin (30 nmol) did not alter locomotion in either condition (p > 0.05, power = 0.066; Fig. 3).

Fig. 1. Chronic alcohol vapor exposure increases self-administration in alcohol-dependent rats.

Fig. 1

Mean (± SEM) baseline alcohol consumption during 30-min operant self-administration sessions when tested at a time point corresponding to acute withdrawal. Alcohol-dependent rats (n = 8/group) consumed significantly more alcohol than non-dependent control animals. AW = acute withdrawal (6 h after vapor termination); ***p < 0.01, compared to air-exposed controls.

Fig. 2. Zyklophin did not alter alcohol self-administration in vapor- and air-exposed rats.

Fig. 2

Alcohol-dependent rats (n = 4/group) displayed escalated alcohol consumption compared to control animals treated with aCSF (artificial cerebrospinal fluid). ICV zyklophin did not alter alcohol consumption in either exposure condition. *p < 0.05, compared to air-exposed controls. Mean (± SEM) alcohol consumption during aCSF or drug infusion is presented.

Fig. 3. The effect of zyklophin on locomotion in air- and vapor-exposed rats.

Fig. 3

Zyklophin (30 nmol, ICV) did not alter the mean (± SEM) distance traveled compared to aCSF-infused controls in air- or vapor-exposed rats (n = 4/group).

Next, we proceeded to assess zyklophin efficacy, in parallel with the KOR antagonist norBNI, for the ability to functionally antagonize opioid agonist-stimulated GTPyS coupling in rat and mouse brain tissue. Two-way repeated-measures ANOVAs were used to examine the effect of norBNI and zyklophin on basal- (~12.0 fmol/mg), U50488-, DAMGO-, or DADLE-stimulated GTPyS coupling in the rat brain tissue (Fig. 4A & 4B, respectively). Fig. 4A illustrates the main effect of agonist exposure (F[2.113,19.014] = 144.874, p < 0.001, power = 1.0), norBNI concentration (F[2,18] = 10.459, p = 0.001, power = 0.971) and a significant agonist × norBNI interaction (F[6,54] = 3.236, p = 0.009, power = 0.898). NorBNI did not affect basal signaling itself but blocked U50488-stimulated GTPyS coupling (F[2,18] = 22.558, p < 0.001, power = 1.0) in a concentration-dependent manner. A KOR-specific effect of norBNI was evident at the lower concentration tested by a selective blockade of U50488-stimulated GTPyS coupling without an impact on DAMGO- or DADLE-stimulated GTPyS coupling. At the higher concentration, norBNI completely abolished U50488-stimulated GTPyS coupling (106% reduction) and also partially, but significantly, blocked DADLE-stimulated GTPyS coupling (34% reduction). The two-way repeated-measures ANOVA conducted on the effect of zyklophin on basal-, U50488-, DAMGO-, or DADLE-stimulated GTPyS coupling in rat brain tissue revealed a main effect of agonist exposure (F[3,15] = 172.172, p < 0.001, power = 0.972). Interestingly, at the highest concentration (5.0 µM) tested, zyklophin did not affect U50488-, DAMGO-, or DADLE-stimulated GTPyS coupling (Fig. 4B), but significantly stimulated GTPyS coupling (F[2,10] = 12.572, p = 0.002, power = 0.975) compared to the assay buffer (control) in the rat brain tissue, indicating agonist activity.

Fig. 4. Effect of norBNI and zyklophin on U50488-, DAMGO-, and DADLE-stimulated GTPyS coupling in rat brain tissue.

Fig. 4

U50488, DAMGO, and DADLE significantly stimulated GTPyS coupling in the rat brain tissue compared to the assay buffer (control). ***p < 0.001, **p < 0.01 compared to the basal signaling. A) NorBNI did not affect basal signaling but concentration-dependently blocked U50488-stimulated GTPyS coupling. At higher concentration, norBNI also reduced DADLE-stimulated GTPyS coupling (λp < 0.05; λλλp < 0.001 compared to agonist-stimulated GTPyS coupling). B) Zyklophin significantly stimulated GTPyS coupling in the rat brain tissue compared to control assay buffer (λλp < 0.01 compared to the baseline signaling) without affecting U50488-, DAMGO-, or DADLE-stimulated GTPyS coupling. Data from 3–5 independent experiments conducted in duplicate are presented as mean ± SEM.

In mouse brain tissue, the effect of norBNI and zyklophin on basal-(~12.0 fmol/mg), U50488-, DAMGO-, or DADLE-stimulated GTPyS coupling was analyzed using a two-way repeated-measure ANOVA (Fig. 5A & 5B, respectively). Fig. 5A shows the coupling data in which there was a main effect of agonist exposure (F[3,21] = 37.184, p = 0.000, power = 1.0), norBNI concentration (F[2,14] = 24.352, p = 0.000, power = 1.0) and significant agonist × norBNI interaction (F[6,42] = 3.518, p = 0.007, power = 0.914) (Fig. 5A). NorBNI alone did not affect basal signaling, but blocked U50488-stimulated GTPyS coupling in a concentration-dependent manner (F[2,14] = 12.103, p = 0.001, power = 0.982). At the highest concentration tested, norBNI completely blocked U50488-stimulated GTPyS coupling, whereas DADLE-stimulated GTPyS coupling was partially, yet significantly, blocked. At the highest concentration, norBNI significantly blocked all agonist-stimulated GTPyS coupling. The two-way repeated-measures ANOVA conducted on the effect of zyklophin on basal-, U50488-, DAMGO-, or DADLE-stimulated GTPyS coupling in the mouse brain tissue (Fig. 5B) identified a main effect of agonist exposure (F[3,21] = 65.887, p = 0.000, power = 1.0), zyklophin concentration (F[3,21] = 3.4, p = 0.037, power = 0.682), and a significant agonist × zyklophin dose interaction (F[9,63] = 4.47, p < 0.001, power = 0.996). Interestingly, at higher concentrations, zyklophin significantly stimulated GTPyS coupling in the mouse brain tissue (F[3,21] = 6.075, p = 0.004, power = 0.918) compared to the assay buffer (control). Zyklophin at 0.5 µM concentration significantly blocked both U50488- and DADLE-stimulated GTPyS coupling, and this effect was abolished at a higher zyklophin concentration (5.0 µM). When assessed alone, zyklophin significantly stimulated GTPyS signaling in rat (F[2,10] = 12.572, p = 0.002, power = 0.975) and, under higher concentrations, in mouse (F[3,21] = 6.075, p = 0.004, power = 0.918) brain tissue.

Fig. 5. Effect of norBNI and zyklophin on U50488-, DAMGO-, and DADLE-stimulated GTPyS coupling in the mouse brain tissue.

Fig. 5

U50488, DAMGO, and DADLE significantly stimulated GTPyS coupling in the mouse brain tissue compared to the assay buffer (control). ***p < 0.001 compared to the basal signaling. A) NorBNI did not affect basal signaling but concentration-dependently blocked U50488-stimulated GTPyS coupling. At higher concentration, norBNI also blocked DADLE- and DAMGO-stimulated GTPyS coupling. λλp < 0.01, λp < 0.05 compared to the agonist-stimulated GTPyS coupling. B) Zyklophin significantly stimulated GTPyS coupling in mouse brain tissue compared to the assay buffer (control). *p < 0.05 compared to the baseline signaling. Zyklophin blocked U50488- and DADLE-stimulated GTPyS coupling at 0.5 µM concentration while leaving DAMGO-stimulated GTPyS coupling intact. At higher concentration, zyklophin antagonist effect was not discernable. λλp < 0.01 compared to the agonist-stimulated GTPyS coupling. Data represent mean (± SEM) from four experiments conducted in duplicate, using two mouse brains.

Discussion

The primary objective of the present study was to evaluate zyklophin efficacy for attenuating alcohol dependence-induced escalated alcohol self-administration. Following one month of intermittent alcohol vapor exposure, the alcohol-dependent group displayed escalated alcohol self-administration (Fig. 1) when tested 6–8 h into withdrawal, a dependence-like phenotype that is consistent with previous reports (Kissler et al., 2014; O'Dell, Roberts, Smith, & Koob, 2004; Walker & Koob, 2008). Zyklophin (0–30 nmol) was administered ICV, and its effect on alcohol self-administration was examined in alcohol vapor- and air-exposed rats. One hour pretreatment with ICV zyklophin has been shown to significantly block KOR-induced effects (Aldrich & McLaughlin, 2009); therefore, in the present experiment zyklophin was administered 1 h prior to behavioral testing. However, zyklophin (20 or 30 nmol) did not affect alcohol self-administration in either group (Fig. 2).

We have previously shown that selective KOR antagonism with norBNI attenuates escalated alcohol self-administration during acute withdrawal and protracted abstinence in alcohol-dependent Wistar rats (Kissler et al., 2014; Kissler & Walker, 2015; Nealey et al., 2011; Walker & Koob, 2008; Walker et al., 2011). Zyklophin has been reported to have KOR-selective effects in mice and was developed as a short-acting KOR antagonist (Aldrich, Patkar, et al., 2009), but did not show a prototypical KOR antagonist profile in the present study. Namely, zyklophin did not alter escalated alcohol self-administration in alcohol-dependent rats (Fig. 2). This lack of effect could be related to differences in short- or long-acting KOR antagonist-induced activation of c-Jun N-terminal kinase (JNK) signaling (Bruchas et al., 2007), although it is currently unknown whether altered JNK signaling contributes to the therapeutic efficacy of KOR antagonists in alcohol dependence. Differences in the functional potency of opioid ligands has been attributed to species differences in mu- and delta-opioid receptor binding capacity and affinity (Yoburn, Lutfy, & Candido, 1991), and it follows that putative genetic differences in KOR expression contribute to the observed differences in zyklophin potency. However, zyklophin did not attenuate alcohol self-administration in a KOR antagonist-predicted manner in rats, even when tested at 10× the effective dose in mice (Aldrich, Patkar, et al., 2009). At the highest zyklophin dose tested (30 nmol), there was a slight, non-significant decrease in the alcohol self-administration in both groups. In order to examine if there is any non-specific central depressant effect following a higher dose of zyklophin, locomotor activity was examined in alcohol-dependent and non-dependent rats following 1 h of zyklophin (30 nmol) administration. Locomotor data suggested no non-specific effects as zyklophin administration did not alter locomotor activity when compared to aCSF-infused controls (Fig. 3). Pharmacokinetics and metabolism play a critical role in defining the time course of drug action, and it may be that the species differences in the zyklophin efficacy observed in the present study could be a consequence of pharmacokinetics and metabolism differences between rats and mice (Lin & Lu, 1997; Martignoni, Groothuis, & de Kanter, 2006; Stamou, Wu, Kania-Korwel, Lehmler, & Lein, 2014). In the present experiment, zyklophin was administered 1 h prior to behavioral testing, based on previous studies in mice (Aldrich, Patkar, et al., 2009).Therefore, it could be that zyklophin has a different time course of action in rats compared to mice, and evaluating zyklophin at various pretreatment times in the current paradigm seems necessary. However, before any further in vivo behavioral testing could occur, it was of primary importance to investigate possible species differences in the zyklophin KOR antagonist profile at the receptor level.

We utilized a GTPyS-coupling assay in order to examine zyklophin specificity at opioid receptors in the rat brain. The GTPyS-coupling assay was carried out as described previously (Kissler et al., 2014), and the effect of norBNI or zyklophin on U50488-, DAMGO-, and DADLE-stimulated GTPyS coupling was examined. U50488, DAMGO, and DADLE significantly stimulated GTPyS coupling in the rat brain tissue compared to the assay buffer (control) (Fig. 4). NorBNI did not affect basal signaling but blocked U50488-stimulated GTPyS coupling in a concentration-dependent manner. At higher concentration, norBNI also blocked DADLE-stimulated GTPyS coupling (Fig. 4A). The order of potency for norBNI was κ > δ > μ, although it must be noted that there was no effect of norBNI on DAMGO-stimulated GTPyS coupling, with these data consistent with previous reports (Black, Jales, Brandt, Lewis, & Husbands, 2003; Takemori, Ho, Naeseth, & Portoghese, 1988). Conversely, zyklophin (5.0 µM) significantly stimulated GTPyS coupling in rat brain tissue (Fig. 4B), compared to control assay buffer without modifying U50488-, DAMGO-, or DADLE-stimulated GTPyS coupling (Fig. 4B). The GTPyS coupling data for zyklophin revealed that zyklophin does not act as a KOR antagonist in rat brain tissue and supports our behavioral data. Instead, zyklophin appeared to display positive efficacy, as at higher concentrations it significantly stimulated GTPyS coupling. On the other hand, norBNI at lower concentrations selectively blocked U50488-stimulated GTPyS coupling, suggesting a KOR-selective antagonism which is also seen in behavioral testing in which norBNI has been shown to selectively impact dependence-induced escalated alcohol self-administration in rats (Kissler et al., 2014; Walker et al., 2011).

Given the lack of effect in rats and considering that the initial characterization of zyklophin occurred exclusively in mice (Aldrich, Patkar, et al., 2009), it was important to functionally confirm KOR antagonism and compare the effects of zyklophin and norBNI on agonist-stimulated opioid receptor function in rat and mouse. Therefore, we next examined the effect of norBNI or zyklophin on U50488-, DAMGO-, and DADLE-stimulated GTPyS coupling in rat and mouse brain tissue. U50488, DAMGO, and DADLE significantly stimulated GTPyS coupling in mouse brain tissue compared to control assay buffer (Fig. 5A & 5B). NorBNI did not affect basal signaling but blocked U50488-stimulated GTPyS coupling in a concentration-dependent manner. At higher concentrations, norBNI also blocked DADLE- and DAMGO-stimulated GTPyS coupling (Fig. 5A). On the other hand, zyklophin significantly stimulated GTPyS coupling in the mouse brain tissue compared to the assay buffer (control; Fig. 5B). In addition, zyklophin blocked U50488- and DADLE-stimulated GTPyS coupling at a moderate concentration (Fig. 5B). At the highest concentration, zyklophin antagonist effects were indiscernible, putatively due to occlusion by zyklophin-stimulated GTPyS coupling. Based on the mouse GTPyS coupling data, zyklophin behaved similarly to norBNI at lower concentration; however, KOR antagonism was not discernible at higher concentrations of zyklophin.

An important consideration is that efficacy is proportional to the magnitude and direction of response produced by a ligand. However, the actual response is dependent on the state and physiologic environment of the receptor (Kenakin, 2009, 2011; Sirohi, Dighe, Madia, & Yoburn, 2009; Sirohi, Kumar, & Yoburn, 2007). Therefore, it is possible that zyklophin positive efficacy, as seen in our data, could be attributed to assay-specific parameters used in the present study. However, in both tissues (rat or mouse), the norBNI efficacy profile was very similar and consistent with the previous reports, supporting the specificity of the assay. Moreover, zyklophin did not alter U50488-, DAMGO-, or DADLE-stimulated signaling in the rat tissue preparation, while demonstrating positive efficacy that suggests agonist effects. However, efficacy is not only a ligand-dependent entity and ligands can display multiple efficacies based on the system tested (Kenakin, 2002, 2011; Kenakin & Beek, 1980; Yoburn et al., 1991). Interestingly, a recent study reported strain-dependent off-target effects (KOR-independent) following zyklophin administration in mice (Dimattio, Yakovleva, Aldrich, Cowan, & Liu-Chen, 2014). Similar KOR- independent effects have been reported for 5′-GNTI (a long-acting KOR antagonist) that produced effects in KOR-KO mice (Inan, 2010). Taken together, there appear to be additional molecular targets of zyklophin action and further evaluation is needed to determine the precise receptor population(s) mediating zyklophin’s effects.

In summary, in mouse brain tissue, zyklophin showed selective KOR-antagonist effects through attenuation of U50488-stimulated coupling at lower concentrations, which supports previously published data (Aldrich, Patkar, et al., 2009) in reference to zyklophin’s KOR-antagonist profile. Conversely, in the rat brain, zyklophin did not affect U50, 488-stimulated signaling at any concentration tested, which corresponds well with the lack of a KOR antagonist-like effect on escalated alcohol self-administration during acute withdrawal in alcohol-dependent animals (Kissler et al., 2014; Nealey et al., 2011; Walker & Koob, 2008; Walker et al., 2011). To our surprise, in rat brain and mouse brain tissue at higher concentrations, zyklophin alone showed an agonist profile by significantly stimulating GTPyS coupling. Taken together, there are clear species differences in zyklophin efficacy, with these results providing valuable information for those using rodent species to evaluate KOR involvement in addictive and neuropsychiatric disorders. Given the rising interest in the development of KOR antagonists (e.g., Carlezon & Miczek, 2010), these data should provide valuable information for therapeutic development efforts.

Highlights.

  • Zyklophin did not impact alcohol dependence-induced escalated alcohol consumption

  • Zyklophin did not antagonize κ, μ or δ agonist-stimulated effects in the rat brain

  • In the mouse brain, Zyklophin displayed KOR antagonism at lower concentration

  • At higher concentration, Zyklophin behaved as an agonist in rat and mouse brains

Acknowledgments

Support for this research was provided by R01AA020394 awarded to BMW from the National Institute on Alcohol Abuse and Alcoholism, the WSU Alcohol and Drug Abuse Research Program to BMW from funds provided for medical and biological research by the State of Washington Initiative No. 171, and R01DA023924-07 awarded to JVA. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute on Alcohol Abuse and Alcoholism, the National Institutes of Health, or the states of Washington or Florida. The authors would like to thank Donna Sienkiewicz and the WSU VBR and her staff for their continued vivarium support and the members of the Laboratory of Alcoholism and Addiction Neuroscience. SS thanks H.H. Rajinder Singh Ji.

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

The authors have no conflicts of interest with the conduct or reporting of this research.

References

  1. Aldrich JV, McLaughlin JP. Peptide kappa opioid receptor ligands: potential for drug development. The AAPS Journal. 2009;11:312–322. doi: 10.1208/s12248-009-9105-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Aldrich JV, Patkar KA, McLaughlin JP. Zyklophin, a systemically active selective kappa opioid receptor peptide antagonist with short duration of action. Proceedings of the National Academy of Sciences of the United States of America. 2009;106:18396–18401. doi: 10.1073/pnas.0910180106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Barg J, Belcheva M, Rowinski J, Ho A, Burke WJ, Chung HD, et al. Opioid receptor density changes in Alzheimer amygdala and putamen. Brain Research. 1993;632:209–215. doi: 10.1016/0006-8993(93)91155-l. [DOI] [PubMed] [Google Scholar]
  4. Bazov I, Kononenko O, Watanabe H, Kuntić V, Sarkisyan D, Taqi MM, et al. The endogenous opioid system in human alcoholics: molecular adaptations in brain areas involved in cognitive control of addiction. Addiction Biology. 2013;18:161–169. doi: 10.1111/j.1369-1600.2011.00366.x. [DOI] [PubMed] [Google Scholar]
  5. Berger AL, Williams AM, McGinnis MM, Walker BM. Affective cue-induced escalation of alcohol self-administration and increased 22-kHz ultrasonic vocalizations during alcohol withdrawal: role of kappa-opioid receptors. Neuropsychopharmacology. 2013;38:647–654. doi: 10.1038/npp.2012.229. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Black SL, Jales AR, Brandt W, Lewis JW, Husbands SM. The role of the side chain in determining relative delta- and kappa-affinity in C5′-substituted analogues of naltrindole. Journal of Medicinal Chemistry. 2003;46:314–317. doi: 10.1021/jm020997b. [DOI] [PubMed] [Google Scholar]
  7. Bruchas MR, Yang T, Schreiber S, Defino M, Kwan SC, Li S, et al. Long-acting kappa opioid antagonists disrupt receptor signaling and produce noncompetitive effects by activating c-Jun N-terminal kinase. The Journal of Biological Chemistry. 2007;282:29803–29811. doi: 10.1074/jbc.M705540200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Carlezon WA, Jr, Miczek KA. Ascent of the kappa-opioid receptor in psychopharmacology. Psychopharmacology (Berl) 2010;210:107–108. doi: 10.1007/s00213-010-1849-0. [DOI] [PubMed] [Google Scholar]
  9. Chartoff E, Sawyer A, Rachlin A, Potter D, Pliakas A, Carlezon WA. Blockade of kappa opioid receptors attenuates the development of depressive-like behaviors induced by cocaine withdrawal in rats. Neuropharmacology. 2012;62:167–176. doi: 10.1016/j.neuropharm.2011.06.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Chavkin C, James IF, Goldstein A. Dynorphin is a specific endogenous ligand of the kappa opioid receptor. Science. 1982;215:413–415. doi: 10.1126/science.6120570. [DOI] [PubMed] [Google Scholar]
  11. Dimattio KM, Yakovleva TV, Aldrich JV, Cowan A, Liu-Chen LY. Zyklophin, a short-acting kappa opioid antagonist, induces scratching in mice. Neuroscience Letters. 2014;563:155–159. doi: 10.1016/j.neulet.2014.01.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Dvorak RD, Lamis DA, Malone PS. Alcohol use, depressive symptoms, and impulsivity as risk factors for suicide proneness among college students. Journal of Affective Disorders. 2013;149:326–334. doi: 10.1016/j.jad.2013.01.046. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Hiller JM, Itzhak Y, Simon EJ. Selective changes in mu, delta and kappa opioid receptor binding in certain limbic regions of the brain in Alzheimer's disease patients. Brain Research. 1987;406:17–23. doi: 10.1016/0006-8993(87)90764-5. [DOI] [PubMed] [Google Scholar]
  14. Inan S. PhD thesis. Philadelphia, PA: Temple University; 2010. Pharmacological and neuroanatomical analysis of GNTI-induced repetitive behavior in mice. [Google Scholar]
  15. Kenakin T. Drug efficacy at G protein-coupled receptors. Annual Review of Pharmacology and Toxicology. 2002;42:349–379. doi: 10.1146/annurev.pharmtox.42.091401.113012. [DOI] [PubMed] [Google Scholar]
  16. Kenakin T. Biased agonism. F1000 Biology Reports. 2009;1:87. doi: 10.3410/B1-87. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Kenakin T. Functional selectivity and biased receptor signaling. The Journal of Pharmacology and Experimental Therapeutics. 2011;336:296–302. doi: 10.1124/jpet.110.173948. [DOI] [PubMed] [Google Scholar]
  18. Kenakin TP, Beek D. Is prenalterol (H133/80) really a selective beta 1 adrenoceptor agonist? Tissue selectivity resulting from differences in stimulus-response relationships. The Journal of Pharmacology and Experimental Therapeutics. 1980;213:406–413. [PubMed] [Google Scholar]
  19. Kissler JL, Sirohi S, Reis DJ, Jansen HT, Quock RM, Smith DG, et al. The one-two punch of alcoholism: role of central amygdala dynorphins/kappa-opioid receptors. Biological Psychiatry. 2014;75:774–782. doi: 10.1016/j.biopsych.2013.03.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Kissler JL, Walker BM. Dissociating Motivational From Physiological Withdrawal in Alcohol Dependence: Role of Central Amygdala κ-Opioid Receptors. Neuropsychopharmacology. 2015;41:560–567. doi: 10.1038/npp.2015.183. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Knoll AT, Carlezon WA., Jr Dynorphin, stress, and depression. Brain Research. 2010;1314:56–73. doi: 10.1016/j.brainres.2009.09.074. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Lee HK, Chou SP, Cho MJ, Park JI, Dawson DA, Grant BF. The prevalence and correlates of alcohol use disorders in the United States and Korea--a cross-national comparative study. Alcohol. 2010;44:297–306. doi: 10.1016/j.alcohol.2010.02.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Leeman RF, Fenton M, Volpicelli JR. Impaired control and undergraduate problem drinking. Alcohol and Alcoholism. 2007;42:42–48. doi: 10.1093/alcalc/agl095. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Lin JH, Lu AY. Role of pharmacokinetics and metabolism in drug discovery and development. Pharmacological Reviews. 1997;49:403–449. [PubMed] [Google Scholar]
  25. Mann K, Bladström A, Torup L, Gual A, van den Brink W. Extending the treatment options in alcohol dependence: a randomized controlled study of as-needed nalmefene. Biological Psychiatry. 2013;73:706–713. doi: 10.1016/j.biopsych.2012.10.020. [DOI] [PubMed] [Google Scholar]
  26. Mannelli P, Peindl K, Masand PS, Patkar AA. Long-acting injectable naltrexone for the treatment of alcohol dependence. Expert Review of Neurotherapeutics. 2007;7:1265–1277. doi: 10.1586/14737175.7.10.1265. [DOI] [PubMed] [Google Scholar]
  27. Martignoni M, Groothuis GM, de Kanter R. Species differences between mouse, rat, dog, monkey and human CYP-mediated drug metabolism, inhibition and induction. Expert Opinion on Drug Metabolism & Toxicology. 2006;2:875–894. doi: 10.1517/17425255.2.6.875. [DOI] [PubMed] [Google Scholar]
  28. Melief EJ, Miyatake M, Carroll FI, Béguin C, Carlezon WA, Jr, Cohen BM, et al. Duration of action of a broad range of selective κ-opioid receptor antagonists is positively correlated with c-Jun N-terminal kinase-1 activation. Molecular Pharmacology. 2011;80:920–929. doi: 10.1124/mol.111.074195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Metcalf MD, Coop A. Kappa opioid antagonists: past successes and future prospects. The AAPS Journal. 2005;7:E704–E722. doi: 10.1208/aapsj070371. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Mizoguchi H, Leitermann RJ, Narita M, Nagase H, Suzuki T, Tseng LF. Region-dependent G-protein activation by kappa-opioid receptor agonists in the mouse brain. Neuroscience Letters. 2004;356:145–147. doi: 10.1016/j.neulet.2003.09.034. [DOI] [PubMed] [Google Scholar]
  31. National Research Council, Committee for the Update of the Guide for the Care and Use of Laboratory Animals, Institute for Laboratory Animal Research, & National Academies Press. Guide for the care and use of laboratory animals. 8th. Washington, DC: National Academies Press; 2011. [Google Scholar]
  32. Nealey KA, Smith AW, Davis SM, Smith DG, Walker BM. κ-opioid receptors are implicated in the increased potency of intra-accumbens nalmefene in ethanol-dependent rats. Neuropharmacology. 2011;61:35–42. doi: 10.1016/j.neuropharm.2011.02.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. O'Dell LE, Roberts AJ, Smith RT, Koob GF. Enhanced alcohol self-administration after intermittent versus continuous alcohol vapor exposure. Alcoholism: Clinical and Experimental Research. 2004;28:1676–1682. doi: 10.1097/01.alc.0000145781.11923.4e. [DOI] [PubMed] [Google Scholar]
  34. Paxinos G, Watson C. The rat brain in stereotaxic coordinates. 5th. San Diego: Elsevier, Academic Press; 2005. [Google Scholar]
  35. Risser D, You ZB, Cairns N, Herrera-Marschitz M, Seidl R, Schneider C, et al. Endogenous opioids in frontal cortex of patients with Down syndrome. Neuroscience Letters. 1996;203:111–114. doi: 10.1016/0304-3940(95)12275-3. [DOI] [PubMed] [Google Scholar]
  36. Samson HH. Initiation of ethanol reinforcement using a sucrose-substitution procedure in food- and water-sated rats. Alcoholism: Clinical and Experimental Research. 1986;10:436–442. doi: 10.1111/j.1530-0277.1986.tb05120.x. [DOI] [PubMed] [Google Scholar]
  37. Schlosburg JE, Whitfield TW, Jr, Park PE, Crawford EF, George O, Vendruscolo LF, et al. Long-term antagonism of κ opioid receptors prevents escalation of and increased motivation for heroin intake. The Journal of Neuroscience. 2013;33:19384–19392. doi: 10.1523/JNEUROSCI.1979-13.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Shippenberg TS, Zapata A, Chefer VI. Dynorphin and the pathophysiology of drug addiction. Pharmacology & Therapeutics. 2007;116:306–321. doi: 10.1016/j.pharmthera.2007.06.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Sirohi S, Bakalkin G, Walker BM. Alcohol-induced plasticity in the dynorphin/kappa-opioid receptor system. Frontiers in Molecular Neurosciences. 2012;5:95. doi: 10.3389/fnmol.2012.00095. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Sirohi S, Dighe SV, Madia PA, Yoburn BC. The relative potency of inverse opioid agonists and a neutral opioid antagonist in precipitated withdrawal and antagonism of analgesia and toxicity. The Journal of Pharmacology and Experimental Therapeutics. 2009;330:513–519. doi: 10.1124/jpet.109.152678. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Sirohi S, Kumar P, Yoburn BC. Mu-opioid receptor up-regulation and functional supersensitivity are independent of antagonist efficacy. The Journal of Pharmacology and Experimental Therapeutics. 2007;323:701–707. doi: 10.1124/jpet.107.127019. [DOI] [PubMed] [Google Scholar]
  42. Stamou M, Wu X, Kania-Korwel I, Lehmler HJ, Lein PJ. Cytochrome p450 mRNA expression in the rodent brain: species-, sex-, and region-dependent differences. Drug Metabolism and Disposition. 2014;42:239–244. doi: 10.1124/dmd.113.054239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Takemori AE, Ho BY, Naeseth JS, Portoghese PS. Nor-binaltorphimine, a highly selective kappa-opioid antagonist in analgesic and receptor binding assays. The Journal of Pharmacology and Experimental Therapeutics. 1988;246:255–258. [PubMed] [Google Scholar]
  44. Tejeda HA, Counotte DS, Oh E, Ramamoorthy S, Schultz-Kuszak KN, Bäckman CM, et al. Prefrontal cortical kappa-opioid receptor modulation of local neurotransmission and conditioned place aversion. Neuropsychopharmacology. 2013;38:1770–1779. doi: 10.1038/npp.2013.76. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Tejeda HA, Shippenberg TS, Henriksson R. The dynorphin/κ-opioid receptor system and its role in psychiatric disorders. Cellular and Molecular Life Sciences. 2011;69:857–896. doi: 10.1007/s00018-011-0844-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Valdez GR, Harshberger E. κ opioid regulation of anxiety-like behavior during acute ethanol withdrawal. Pharmacology, Biochemistry, and Behavior. 2012;102:44–47. doi: 10.1016/j.pbb.2012.03.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Walker BM, Koob GF. Pharmacological evidence for a motivational role of kappa-opioid systems in ethanol dependence. Neuropsychopharmacology. 2008;33:643–652. doi: 10.1038/sj.npp.1301438. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Walker BM, Valdez GR, McLaughlin JP, Bakalkin G. Targeting dynorphin/kappa opioid receptor systems to treat alcohol abuse and dependence. Alcohol. 2012;46:359–370. doi: 10.1016/j.alcohol.2011.10.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Walker BM, Zorrilla EP, Koob GF. Systemic κ-opioid receptor antagonism by nor-binaltorphimine reduces dependence-induced excessive alcohol self-administration in rats. Addiction Biology. 2011;16:116–119. doi: 10.1111/j.1369-1600.2010.00226.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Whitfield TW, Jr, Schlosburg JE, Wee S, Gould A, George O, Grant Y, et al. κ Opioid receptors in the nucleus accumbens shell mediate escalation of methamphetamine intake. The Journal of Neuroscience. 2015;35:4296–4305. doi: 10.1523/JNEUROSCI.1978-13.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Yoburn BC, Lutfy K, Candido J. Species differences in mu- and delta-opioid receptors. European Journal of Pharmacology. 1991;193:105–108. doi: 10.1016/0014-2999(91)90207-7. [DOI] [PubMed] [Google Scholar]

RESOURCES