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Research ArticleArticle

Probing the CB1 Cannabinoid Receptor Binding Pocket with AM6538, a High-Affinity Irreversible Antagonist

Robert B. Laprairie, Kiran Vemuri, Edward L. Stahl, Anisha Korde, Jo-Hao Ho, Travis W. Grim, Tian Hua, Yiran Wu, Raymond C. Stevens, Zhi-Jie Liu, Alexandros Makriyannis and Laura M. Bohn
Molecular Pharmacology November 2019, 96 (5) 619-628; DOI: https://doi.org/10.1124/mol.119.116483
Robert B. Laprairie
Departments of Molecular Medicine and Neuroscience, The Scripps Research Institute, Jupiter, Florida (R.B.L., E.L.S., J.-H.H., T.W.G., L.M.B.); Center for Drug Discovery and Departments of Chemistry and Chemical Biology and Pharmaceutical Sciences, Northeastern University, Boston, Massachusetts (K.V., A.K., A.M.); iHuman Institute, ShanghaiTech University, Shanghai, China (T.H., Y.W., Z.-J.L.); and Departments of Biological Sciences and Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California (R.C.S.)
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Kiran Vemuri
Departments of Molecular Medicine and Neuroscience, The Scripps Research Institute, Jupiter, Florida (R.B.L., E.L.S., J.-H.H., T.W.G., L.M.B.); Center for Drug Discovery and Departments of Chemistry and Chemical Biology and Pharmaceutical Sciences, Northeastern University, Boston, Massachusetts (K.V., A.K., A.M.); iHuman Institute, ShanghaiTech University, Shanghai, China (T.H., Y.W., Z.-J.L.); and Departments of Biological Sciences and Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California (R.C.S.)
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Edward L. Stahl
Departments of Molecular Medicine and Neuroscience, The Scripps Research Institute, Jupiter, Florida (R.B.L., E.L.S., J.-H.H., T.W.G., L.M.B.); Center for Drug Discovery and Departments of Chemistry and Chemical Biology and Pharmaceutical Sciences, Northeastern University, Boston, Massachusetts (K.V., A.K., A.M.); iHuman Institute, ShanghaiTech University, Shanghai, China (T.H., Y.W., Z.-J.L.); and Departments of Biological Sciences and Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California (R.C.S.)
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Anisha Korde
Departments of Molecular Medicine and Neuroscience, The Scripps Research Institute, Jupiter, Florida (R.B.L., E.L.S., J.-H.H., T.W.G., L.M.B.); Center for Drug Discovery and Departments of Chemistry and Chemical Biology and Pharmaceutical Sciences, Northeastern University, Boston, Massachusetts (K.V., A.K., A.M.); iHuman Institute, ShanghaiTech University, Shanghai, China (T.H., Y.W., Z.-J.L.); and Departments of Biological Sciences and Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California (R.C.S.)
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Jo-Hao Ho
Departments of Molecular Medicine and Neuroscience, The Scripps Research Institute, Jupiter, Florida (R.B.L., E.L.S., J.-H.H., T.W.G., L.M.B.); Center for Drug Discovery and Departments of Chemistry and Chemical Biology and Pharmaceutical Sciences, Northeastern University, Boston, Massachusetts (K.V., A.K., A.M.); iHuman Institute, ShanghaiTech University, Shanghai, China (T.H., Y.W., Z.-J.L.); and Departments of Biological Sciences and Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California (R.C.S.)
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Travis W. Grim
Departments of Molecular Medicine and Neuroscience, The Scripps Research Institute, Jupiter, Florida (R.B.L., E.L.S., J.-H.H., T.W.G., L.M.B.); Center for Drug Discovery and Departments of Chemistry and Chemical Biology and Pharmaceutical Sciences, Northeastern University, Boston, Massachusetts (K.V., A.K., A.M.); iHuman Institute, ShanghaiTech University, Shanghai, China (T.H., Y.W., Z.-J.L.); and Departments of Biological Sciences and Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California (R.C.S.)
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Tian Hua
Departments of Molecular Medicine and Neuroscience, The Scripps Research Institute, Jupiter, Florida (R.B.L., E.L.S., J.-H.H., T.W.G., L.M.B.); Center for Drug Discovery and Departments of Chemistry and Chemical Biology and Pharmaceutical Sciences, Northeastern University, Boston, Massachusetts (K.V., A.K., A.M.); iHuman Institute, ShanghaiTech University, Shanghai, China (T.H., Y.W., Z.-J.L.); and Departments of Biological Sciences and Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California (R.C.S.)
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Yiran Wu
Departments of Molecular Medicine and Neuroscience, The Scripps Research Institute, Jupiter, Florida (R.B.L., E.L.S., J.-H.H., T.W.G., L.M.B.); Center for Drug Discovery and Departments of Chemistry and Chemical Biology and Pharmaceutical Sciences, Northeastern University, Boston, Massachusetts (K.V., A.K., A.M.); iHuman Institute, ShanghaiTech University, Shanghai, China (T.H., Y.W., Z.-J.L.); and Departments of Biological Sciences and Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California (R.C.S.)
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Raymond C. Stevens
Departments of Molecular Medicine and Neuroscience, The Scripps Research Institute, Jupiter, Florida (R.B.L., E.L.S., J.-H.H., T.W.G., L.M.B.); Center for Drug Discovery and Departments of Chemistry and Chemical Biology and Pharmaceutical Sciences, Northeastern University, Boston, Massachusetts (K.V., A.K., A.M.); iHuman Institute, ShanghaiTech University, Shanghai, China (T.H., Y.W., Z.-J.L.); and Departments of Biological Sciences and Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California (R.C.S.)
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Zhi-Jie Liu
Departments of Molecular Medicine and Neuroscience, The Scripps Research Institute, Jupiter, Florida (R.B.L., E.L.S., J.-H.H., T.W.G., L.M.B.); Center for Drug Discovery and Departments of Chemistry and Chemical Biology and Pharmaceutical Sciences, Northeastern University, Boston, Massachusetts (K.V., A.K., A.M.); iHuman Institute, ShanghaiTech University, Shanghai, China (T.H., Y.W., Z.-J.L.); and Departments of Biological Sciences and Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California (R.C.S.)
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Alexandros Makriyannis
Departments of Molecular Medicine and Neuroscience, The Scripps Research Institute, Jupiter, Florida (R.B.L., E.L.S., J.-H.H., T.W.G., L.M.B.); Center for Drug Discovery and Departments of Chemistry and Chemical Biology and Pharmaceutical Sciences, Northeastern University, Boston, Massachusetts (K.V., A.K., A.M.); iHuman Institute, ShanghaiTech University, Shanghai, China (T.H., Y.W., Z.-J.L.); and Departments of Biological Sciences and Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California (R.C.S.)
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Laura M. Bohn
Departments of Molecular Medicine and Neuroscience, The Scripps Research Institute, Jupiter, Florida (R.B.L., E.L.S., J.-H.H., T.W.G., L.M.B.); Center for Drug Discovery and Departments of Chemistry and Chemical Biology and Pharmaceutical Sciences, Northeastern University, Boston, Massachusetts (K.V., A.K., A.M.); iHuman Institute, ShanghaiTech University, Shanghai, China (T.H., Y.W., Z.-J.L.); and Departments of Biological Sciences and Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California (R.C.S.)
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Abstract

Cannabinoid receptor 1 (CB1) is a potential therapeutic target for the treatment of pain, obesity and obesity-related metabolic disorders, and addiction. The crystal structure of human CB1 has been determined in complex with the stabilizing antagonist AM6538. In the present study, we characterize AM6538 as a tight-binding/irreversible antagonist of CB1, as well as two derivatives of AM6538 (AM4112 and AM6542) as slowly dissociating CB1 antagonists across binding simulations and cellular signaling assays. The long-lasting nature of AM6538 was explored in vivo wherein AM6538 continues to block CP55,940-mediated behaviors in mice up to 5 days after a single injection. In contrast, the effects of SR141716A abate in mice 2 days after injection. These studies demonstrate the functional outcome of CB1 antagonist modification and open the path for development of long-lasting CB1 antagonists.

Introduction

Cannabinoid receptor 1 (CB1) is the most abundant G protein–coupled receptor (GPCR) in the human central nervous system, as well as being expressed in peripheral tissues (Marsicano and Kuner, 2008). CB1 is known to signal through inhibitory Gαi/o proteins and interacts with β arrestins (Mackie, 2006). CB1 in the central nervous system is predominantly localized to axon terminals (Castillo et al., 2012). Activation of CB1 inhibits the release of neurotransmitters from the presynaptic neuron via inhibition of Ca2+ channels and the activation of inward-rectifying K+ channels. In addition, the CB1 inhibits adenylate cyclase production of cAMP and increases the phosphorylation of kinases associated with cell survival, such as extracellular signal–regulated kinase (Howlett et al., 2004; Bosier et al., 2010; Flores-Otero et al., 2014). Through these effects in neurons, the CB1 regulates locomotion, mood, reward, nociception, and appetite (Castillo et al., 2012; Lutz et al., 2015). Consequently, agonists of CB1 have been investigated as potential treatments for dyskinesia, depression, pain, and cachexia (Lutz et al., 2015). Antagonists of CB1 have been investigated as potential treatments for addiction and mental illness and for the suppression of appetite (Black et al., 2011; Mazier et al., 2015; Rubino et al., 2015; Schindler et al., 2016).

The CB1-selective antagonist SR141716A (rimonabant) was originally approved by the European Medical Agency as an adjunct treatment of obesity; however, it was withdrawn from use because of reports of dysphoria, depression, and suicidal ideation (Rinaldi-Carmona et al., 1994; Janero and Makriyannis, 2009; Fong and Heymsfield, 2009). This experience aside, the inhibition of CB1 remains a potential therapeutic target for the treatment of obesity-related metabolic disorders and addiction if more tolerable compounds can be developed (Janero and Makriyannis, 2009).

AM6538 is a structural analog of SR141716A that was developed as a high-affinity CB1 antagonist capable of stabilizing CB1 and facilitated the formation of high-quality crystals that were used to solve the crystal structure (Hua et al., 2016). This structure, along with a confirming structure of the receptor bound to taranabant (Shao et al., 2016), another CB1 antagonist structurally unrelated to SR141716A, provides templates for understanding the antagonist binding pocket. These crystal structures have enhanced our understanding of the key structural components involved in the antagonist-bound receptor and allow for further probing of the binding pocket to refine therapeutics (Hua et al., 2016).

In this study, we characterize AM6538 as a competitive, irreversible antagonist of CB1 in binding simulations, cell culture, and in vivo. We also compare two additional structurally related antagonists, AM4112 and AM6542, to elucidate the relationship between these structural modifications and observed residence time at the CB1 receptor. The observations provide functional evidence for irreversible and slowly dissociating CB1 antagonists that produce persistent pharmacodynamic effects that are attributable to structural features of the antagonists.

Materials and Methods

Compounds and Chemistry.

AM6538 [4-(4-(1-(2,4-dichlorophenyl)-4-methyl-3-(piperidin-1-ylcarbamoyl)-1H-pyrazol-5-yl)phenyl)but-3-yn-1-yl nitrate], AM6542 [5-(4-(but-3-en-1-yn-1-yl)phenyl)-1-(2,4-dichlorophenyl)-4-methyl-N-(piperidin-1-yl)-1H-pyrazole-3-carboxamide], and AM4112 [1-(2,4-dichlorophenyl)-5-(4-(4-hydroxybut-1-yn-1-yl)phenyl)-4-methyl-N-(piperidin-1-yl)-1H-pyrazole-3-carboxamide] were synthesized (purity ≥95%) using methods as described previously (Makriyannis et al., 2011; Makriyannis and Vemuri, 2014, 2017; Hua et al., 2016). CP55,940, SR141716A (Tocris, Bristol, UK), ∆9-tetrahydrocannabinol (THC), and JWH-018 (Sigma-Aldrich, St. Louis, MO) were dissolved in DMSO in PBS and diluted to final solvent concentrations of 1%. Compounds were added directly to the cell culture media at the times and concentrations indicated.

Molecular Docking.

Prediction of ligand binding to CB1 was done as described previously (Hua et al., 2016) using the Schrodinger Suite 2015-4, Protein Preparation Wizard, LigPrep, and Glide 6.9 programs (Friesner et al., 2004, 2006; Halgren et al., 2004; Schrödinger, 2015).

Protein Stability Assay.

Protein thermostability was tested by a microscale fluorescent thermal stability assay as described previously (Hua et al., 2016). Further, protein homogeneity was checked by analytical size-exclusion chromatography using a 1260 Infinity HPLC system (Agilent Technologies, Santa Clara, CA) as described previously (Hua et al., 2016).

Cell Culture.

The 3×HA (hemagglutinin)-tagged hCB1 cDNA was obtained from cDNA.org and subcloned into a murine stem cell virus vector for cell line transduction (pMSCV-puro; Clontech). Chinese hamster ovary cells (CHO-K1) were obtained from American Type Culture Collection (Manassas, VA; ID no. CCL-61). Stable CHO cell lines were generated after antibiotic (puromycin) selection. CHO cells expressing hCB1 in the PathHunter β arrestin GPCR assay platform (CHO-hCB1 Dx) were purchased from DiscoveRx (Freemont, CA). Cells were maintained as described previously (Janero et al., 2015; Hua et al., 2016). Cell lines were negative for mycoplasma.

CISBIO cAMP Homogenous Time-Resolved Fluorescence.

Inhibition of forskolin-stimulated cAMP accumulation was determined using the CISBIO cAMP Homogenous Time-Resolved Fluorescence HiRange assay according to the manufacturer’s instructions (Cisbio Assays, Bedford, MA). Forskolin stimulates adenylyl cyclase directly to elevate cAMP levels, activation of CB1 leads to a decrease in cAMP from Gαi/o-mediated inhibition of cAMP. We have presented the data as stimulation of CB1, which is measured as an inhibition of forskolin-stimulated cAMP accumulation. For the assay, 3×HA-hCB1 CHO cells (Hua et al., 2016) were dissociated from cell culture dishes with 0.05% trypsin-EDTA and centrifuged at 2000g. The cell pellet was resuspended in Opti-MEM containing 1% fetal bovine serum, and cells were counted and standardized to 1 × 106 cells/ml. Five thousand cells/well (5 µl) were transferred to a 384- well plate, which was incubated for 3 hours at 37°C before the addition of 25 µM RO-20-1724 (a phosphodiesterase inhibitor to prevent cAMP degradation) and 20 µM forskolin (to stimulate directly adenylyl cyclase and elevate cAMP levels) (Sigma-Aldrich); vehicle, antagonists, and agonists were then added at the times and concentrations indicated. Cells were incubated with cAMP-d2 antibody and cryptate solution in lysis buffer for 60 minutes at room temperature (Cisbio Assays). The fluorescence ratio of 665/620 emission channels was used to assess the levels of cAMP using a Perkin-Elmer EnVision plate reader (Waltham, MA) (Hua et al., 2016). Inhibition of forskolin-stimulated cAMP accumulation was determined in cells incubated with vehicle in the presence of forskolin. That is, 0% inhibition of cAMP accumulation corresponds to vehicle + forskolin, and 100% corresponds to maximal inhibition of cAMP by the CB1 ligand used.

DiscoveRx β Arrestin 2 Recruitment.

β arrestin 2 recruitment was determined using the PathHunter assay (cat. no. 93-0200C2; DiscoveRx) according to the manufacturer’s instructions. The hourCB1 CHO cells were treated at the time(s) and concentrations indicated and as described previously (Hua et al., 2016). Chemiluminescent signal was measured as described previously (Hua et al., 2016). β arrestin 2 recruitment was determined in cells incubated with compound vehicle (1% DMSO in PBS) such that 0% corresponds to cells incubated with vehicle and 100% corresponds to maximal β arrestin 2 recruitment by the CB1 agonist used.

Animals and Behavioral Experiments.

Male C57BL/6J mice (4–6 months of age) sourced from Jackson Laboratories were used for these studies and had ad libitum access to food and water. Compounds administered intraperitoneally were prepared in DMSO and Tween-80 in deionized water (1:1:8). Mouse weight was recorded daily, and all procedures were in accordance with the National Institutes of Health Guidelines for the Care and Use of Laboratory Animals with approval by The Scripps Research Institute Animal Care and Use Committee.

Assessment of In Vivo Cannabinoid Effects.

Catalepsy was assessed in the bar-holding assay 5 minutes after drug administration (Ignatowska-Jankowska et al., 2015; Grim et al., 2017). Mice were placed such that their forepaws clasped a 0.7-cm ring clamp positioned 4.5 cm above the surface of the testing space. The length of time the ring was held was recorded (seconds). The trial was ended if the mouse turned its head or body or made three consecutive escape attempts (Ignatowska-Jankowska et al., 2015; Grim et al., 2017). Body temperature was measured by rectal thermometer 15 minutes after drug administration. Antinociceptive effects were assessed in the warm water (52°C) tail-flick test 20 minutes after drug administration. Response was defined as the removal of the tail from the warm water, with a threshold time of 20 seconds.

Baseline measurements of catalepsy, temperature, and antinociception were taken at the beginning of the study in untreated animals. After baseline measurements, mice were injected with 3 mg/kg SR141716A, 3 mg/kg AM6538, or vehicle. The ability of SR141716A or AM6538 to antagonize CB1-dependent catalepsy, hypothermia, and antinociception was then challenged with 1 mg/kg CP55,940 at 1 hour, 2, 5, and 7 days after treatment with SR141716A or AM6538. In all cases, animals were only used once, and experiments were performed with the approval of the Institutional Animal Care and Use Committee of The Scripps Research Institute.

Data Analysis and Statistics.

Data are presented as the mean with S.D., or 95% confidence interval, of at least three independent experiments conducted in duplicate. Significance was determined by one- or two-way ANOVA followed by Tukey’s or Dunnett’s post-hoc analysis, as indicated. P < 0.05 was considered significant.

The maximal fold CB1 activation was determined for each agonist over vehicle response within each experiment and set as 100% stimulation. The average fold inhibition of forskolin-stimulated cAMP accumulation (with 95% confidence interval) for each agonist was CP55,940: 2.3 (1.8–2.7) (n = 11); JWH-018: 2.1 (1.2–3.1) (n = 5); and THC: 1.7 (1.2–2.1) (n = 6). The maximal fold over vehicle responses for β arrestin 2 recruitment (with 95% confidence interval) were CP55,940 8.3 (6.5–10) (n = 12); JWH-018 6.2 (3.6–8.8) (n = 5); and THC 5.4 (4.5–6.2) (n = 7). We did not observe significant inverse agonism following antagonist pretreatment and washing as shown in Supplemental Fig. S1D, where 6-hour treatment of 3×HA-hCB1 CHO cells with 1 µM antagonist did not differ from vehicle treatment. Therefore, we shared the Emax and Emin in the allosteric modulation analysis for both the cAMP and the β arrestin 2 assay. Agonist concentration-response curves were fit to a nonlinear regression (three-parameter) model to determine EC50 and Emax in Prism v.6.0e (GraphPad Software Inc., San Diego, CA). Concentration-response curves for competition data were fit to a global nonlinear regression model of competitive antagonism (eq. 1; Prism) (Hall and Langmead, 2010). To best-fit data to eq. 1, pEC50, pA2, Emin, Emax, and Hill slope were shared for all data sets.Embedded Image(1)The functional off-rate (ΔpA2) is estimated by graphing individual pA2 values (unitless, logarithmic) determined using eq. 1 against time of antagonist pretreatment (Kenakin et al., 2006; Tautermann, 2016). ΔpA2 is then calculated as the absolute slope value for the linear regression through these pA2 values, which were analyzed by two-way ANOVA followed by Dunnett’s post-hoc test. ΔpA2 values were analyzed by one-way ANOVA followed by Tukey’s post-hoc test. Emax was obtained by normalizing data to percent maximal JWH-018 stimulation and fitting concentration-response curves to the four-parameter concentration-response model (Prism). Bias was calculated for THC and JWH-018 using CP55,940 as the reference agonist using the operational model (Black and Leff, 1983; Stahl et al., 2015) in Prism (Supplemental Fig. S1C).

Results

AM6538, AM4112, and AM6542 are structural analogs of the well known CB1 antagonist SR141716A. Structure-activity relationship studies indicated that replacement of the chloro group at the para position of the 5-phenyl ring in SR141716A with an acetylenic chain did not result in loss of affinity for CB1. This four-carbon acetylenic chain, bearing the nitrate group (ONO2) on the ω position in AM6538, remains a key structure feature for its high CB1 affinity and for its CB1 stabilization ability (Fig. 1) (Hua et al., 2016). The role of this nitrate group is to serve as a polar group that could be replaced by a suitable nucleophile (e.g., thiol, cysteine) or form a tight, near-irreversible series of hydrogen bond interactions (Hua et al., 2016). An indication of this property was reported with AM6538 binding to CB1 being wash-resistant in radioligand competition assays (Hua et al., 2016). Based on structure-activity relationship studies, AM4112, containing a hydroxyl substitution on the ω carbon, and AM6542 the ene-yne eliminated form were also synthesized (Fig. 1). Compared with the docking poses of AM6542 and AM4112, the nitrate group of AM6538 forms a hydrogen bond with Tyr2755.39 and π-π interaction with Trp2795.43. These additional interactions make AM6538 bind more tightly to the CB1 (Fig. 2A). In addition, AM6538 could further improve the protein yield, homogeneity, and thermostability of CB1 compared with the other two ligands (Fig. 2, B and C).

Fig. 1.
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Fig. 1.

Chemical structures of SR141716A, AM6538 (nitrate-substituted), AM4112 (hydroxyl-substituted), and AM6542 (ene-yne eliminated).

Fig. 2.
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Fig. 2.

Molecular docking and stability assay of the three ligands. (A) Docking poses of AM6542 (yellow sticks) and AM4112 (magenta sticks) and comparisons with AM6538 (green sticks) bound CB1 crystal structure. (B) Analytical size exclusion chromatography (aSEC) results of different ligands show various CB1 protein homogeneity and yield. (C) N-[4-(7-diethylamino-4-methyl-3-coumarinyl)phenyl]maleimide (CPM) fluorescent dye ramping assay indicates the effects of different ligands on CB1 protein thermostability.

AM6538, AM4112, and AM6542 are Competitive Antagonists of hCB1.

AM6538 is a competitive inhibitor of CP55,940- and THC-dependent inhibition of forskolin-stimulated cAMP accumulation and β arrestin 2 recruitment (Hua et al., 2016). Here the competitive antagonism of AM6538, and two derivative compounds, AM4112 and AM6542, were used to challenge three distinct chemotypes of CB1 agonists: CP55,940 (full agonist, classic synthetic cannabinoid), THC (partial agonist, phytocannabinoid), and JWH-018 (potent full agonist, aminoalkylindole cannabinoid) (Atwood et al., 2010) (Supplemental Fig. S1). Like SR141716A and AM6538 (Hua et al., 2016), AM4112 and AM6542 are competitive antagonists of CP55,940 and THC (Supplemental Fig. S2 and S3). In addition, SR141716A, AM6538, AM4112, and AM6542 are competitive antagonists of JWH-018 (Supplemental Fig. S2 and S3). The antagonists tested do not differ in pA2 (Table 1).

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TABLE 1

AM6538, AM4112, and AM6542 are competitive antagonists of hCB1

Inhibition of forskolin-stimulated cAMP accumulation in 3xHA-hCB1 Chinese hamster ovary (CHO) cells cotreated with forskolin (cAMP assays only) and hCB1 agonists and antagonists for 30 minutes and βarrestin2 recruitment in hCB1 DiscoveRx CHO cells cotreated with hCB1 agonists and antagonist for 90 minutes. Data are presented as mean with 95% confidence interval. For antagonism of cAMP inhibition: n = 5 (THC with AM4112, THC with AM6542), n = 3 for all other treatments. For antagonism of β arrestin 2 recruitment, n = 4 (JWH-018 with AM6542), n = 3 for all other treatments; experiments performed in duplicate. Data were fit to a competitive nonlinear regression model using Prism 6.0. Concentration-response curves are available in Supplemental Figs. S1–S3. pA2 values for inhibition of forskolin-stimulated cAMP accumulation with THC excluded 1 and 10 µM AM4112 and AM6542 in global nonlinear regression analysis.

Antagonism of hCB1 by AM6538 Is Wash-Resistant.

We tested the persistent functional antagonism of SR141716A, AM6538, AM4112, and AM6542 on inhibition of forskolin-stimulated cAMP accumulation (Fig. 3) and β arrestin 2 recruitment (Fig. 4). For inhibition of forskolin-stimulated cAMP accumulation, 3×HA-hCB1 CHO cells were treated with antagonists for 6 hours and then washed one, three, or five times with PBS, followed by 30-minute treatment with CP55,940 in the presence of forskolin (Fig. 3). Six hours of antagonist pretreatment did not affect forskolin-stimulated cAMP accumulation compared with vehicle pretreatment (Supplemental Fig. S1D). For β arrestin 2 recruitment, CHO hCB1 cells were treated with antagonists for 6 hours and then washed one, three, or five times with PBS, followed by 30-minute treatment with CP55,940 (Fig. 4). In both assays, CP55,940 agonism is readily restored in cells pretreated with SR141716A after successive washes (Figs. 3A and 4A), whereas AM6538 blocks agonist stimulation despite repeated washes (Figs. 3B and 4B). Antagonism by AM4112, the hydroxyl-substituted derivative of AM6538, can be partially reversed with washes, but restoration of the full agonism of CP55,940 is not achieved (Figs. 3C and 4C). Antagonism by AM6542, the ene-yne–eliminated derivative of AM6538, is fully reversible after repeated washes (Figs. 3D and 4D). The change in agonist potency after repeated washing of cells is summarized in Fig. 3E (inhibition of forskolin-stimulated cAMP accumulation) and Fig. 4E (β arrestin 2 recruitment). We previously showed that AM6538 is tightly bound to CB1 based on its persistent prevention of [3H]CP55,940 binding in hCB1-HEK293 cell membranes after repeated washes (Hua et al., 2016). The data presented here demonstrate that this irreversible antagonism of hCB1 by AM6538 is persistent in the intact cellular systems. Moreover, we observed a rank order of wash resistance with AM4112that is more resistant than AM6542, which, in turn, is more wash resistant than SR141716A. Thus, modifications of the ω carbon of the molecule determine the overall functional affinity of the ligand for securing an inactive state of the receptor.

Fig. 3.
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Fig. 3.

AM6538 antagonism of CP55,940-dependent inhibition of forskolin-stimulated cAMP accumulation is resistant to wash out. 3HA-hCB1 CHO cells were pretreated with vehicle (1% DMSO in PBS), 1 µM SR141716A (A), AM6538 (B), AM4112 (C), or AM6542 (D) for 6 hours and then washed one, three, or five times with PBS, followed by 30-minute treatment with increasing concentrations of CP55,940. Antagonist pretreatment had no significant effect on forskolin-stimulated cAMP accumulation (Supplemental Fig. S1D). (E) Summary of pEC50 values for data presented in (A–D). Data are presented as mean with S.D., n = 3 experiments/treatment performed in duplicate. Data were normalized to the vehicle (+forskolin; 0%) and maximum stimulation obtained with CP55,940 (100%) in each experiment and are fit to a nonlinear regression model using Prism 6.0. †††P < 0.001 AM6538; ***P < 0.001 AM4112; ^^^P < 0.001 AM6542 compared with SR141716A within wash number, as determined by two-way ANOVA followed by Dunnett’s post-hoc analysis.

Fig. 4.
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Fig. 4.

AM6538 antagonism of CP55,940-dependent β arrestin 2 recruitment is resistant to wash out. hourCB1 CHO cells were pretreated with vehicle (1% DMSO in PBS), 1 µM SR141716A (A), AM6538 (B), AM4112 (C), or AM6542 (D) for 6 hours and then washed one, three, or five times with PBS, followed by 90-minute treatment with 0.1 nM–10 µM CP55,940. (E) Summary of pEC50 values for data presented in (A–D). Data are presented as mean with S.D., n = 3 experiments/treatment performed in duplicate. Data were normalized to the vehicle (0%) and maximum stimulation obtained with CP55,940 (100%) in each experiment and are fit to a nonlinear regression model using Prism 6.0. †P < 0.05; †††P < 0.001 AM6538; *P < 0.05; **P < 0.01; ***P < 0.001 AM4112; ^P < 0.05; ^^P < 0.01 AM6542 compared with SR141716A within wash number, as determined by two-way ANOVA followed by Dunnett’s post-hoc analysis.

We next measured the change in pA2 by SR141716A, AM6538, AM4112, and AM6542 by graphing pA2 values derived from fitting data to a model of competitive antagonism against time (Figs. 5 and 6). From this, the functional antagonist off-rate was estimated as the rate of change for observed pA2 values (ΔpA2) (Copeland et al., 2006; Tummino and Copeland, 2008). The ΔpA2 for SR141716A was greater than for AM6538, which did not change within the time of the experiment (P < 0.05 one-way ANOVA) (Fig. 6). The ΔpA2 values for AM4112 and AM6542 were intermediate between SR141716A and AM6538 and not different from either (Fig. 6). Therefore, AM4112 and AM6542 are slowly dissociating reversible hCB1 antagonists compared with their parent compound, SR141716A. These data confirm our hypothesis that AM6538 is an irreversible, competitive hCB1 antagonist (Tautermann, 2016).

Fig. 5.
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Fig. 5.

AM6538, AM4112, and AM6542 are persistent antagonists of CP55,940-dependent inhibition of forskolin-stimulated cAMP accumulation. 3xHA-hCB1 CHO cells were pre-treated with 1 nM–10 µM SR141716A (A-C A-C), AM6538 (D-F) D), AM4112 (G-I) , or AM6542 (J-L) for 1 hour (A, D, G, J) , 3 hours (B, E, H, K), or 6 hours (C, F, I, L) , followed by treatment with increasing concentrations of CP55,940 for 30 minute in the presence of forskolin. Data are presented as mean with S.D.; n = 7 for SR14171A 1 hour, n = 3 for all other treatment groups; experiments performed in duplicate. Data were normalized to the vehicle (0%) and maximum CP55,940 (100%) inhibition of forskolin-stimulated cAMP accumulation within each experiment and are fit to a competitive nonlinear regression model (eq. 1) using Prism 6.0. Schild regression analysis presented in Fig. 6.

Fig. 6.
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Fig. 6.

AM6538 is an irreversible antagonist hCB1. Data presented in Fig. 5 were expressed as % maximal CP55,940 inhibition of forskolin-stimulated cAMP accumulation and fit to a nonlinear regression model (eq. 1, Prism 6.0) to determine pA2. 3xHA-hCB1 CHO cells were pre-treated with 1 nM–10 µM SR141716A, AM6538, AM4112, or AM6542 for 1, 3, or 6 hour followed by treatment with 0.03 nM–10 µM CP55,940 for 30 minute in the presence of forskolin. pA2 values are presented as a function of time. Data are presented as mean with S.D.; n = 7 for SR14171A 1 hour, n = 3 for all other treatment groups; performed in duplicate. †P < 0.05; †††P < 0.001 AM6538; *P < 0.05 AM4112 and AM6542 compared with SR141716A within time point for pA2, as determined by two-way ANOVA followed by Dunnett’s post-hoc analysis; #P < 0.05, AM6538 compared with SR141716A for ∆pA2, as determined by one-way ANOVA followed by Tukey’s post-hoc analysis.

AM6538 Treatment Results in CB1 Ablation.

We determined whether AM6538 treatment produces hCB1 depletion by cotreating cells with JWH-018 and SR141716A, AM6538, AM4112, or AM6542 and quantifying changes in Emax (Supplemental Fig. S2 and S3). JWH-018 is ideal for studying insurmountable antagonism in this system because it is a potent full agonist of hCB1 with an Emax that is observed over a wide concentration-response range. SR141716A treatment does not change Emax (Fig. 7), as expected for a reversible antagonist. AM6538 treatment led to a reduction in Emax (Fig. 7), consistent with AM6538 being an irreversible antagonist. AM4112 and AM6542 do not change Emax observed with JWH-018 (Fig. 7). From these data, we conclude AM6538 is an irreversible hCB1 antagonist that produces a demonstrable reduction in Emax consistent with receptor depletion (Kenakin et al., 2006).

Fig. 7.
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Fig. 7.

AM6538 treatment decreases Emax. 3xHA-hCB1 CHO cells were co-treated with forskolin (for cAMP assays), 0.03 nM–10 µM JWH-018 ± 1 nM–10 µM SR141716A, AM6538, AM4112, or AM6542 for (A) 30 minute and inhibition of forskolin-stimulated cAMP accumulation was quantified, or (B) 90 minute and βarrestin2 recruitment was quantified. Concentration-response data were fit to a nonlinear regression model in Prism 6.0 to determine Emax. Data are presented as mean with S.D.; for inhibition of forskolin-stimulated cAMP accumulation n = 3 (AM6538, AM4112, AM6542) n = 4 (SR141716A); for βarrestin2 recruitment n = 3 (SR14716A, AM6538, AM4112), n = 4 (AM6542) experiments/treatment performed in duplicate. Concentration-response curves available in Supplemental Figs. S2 and S3. **P < 0.01 AM6538 compared with SR141716A within antagonist dose, as determined by two-way ANOVA followed by Tukey’s post-hoc analysis.

AM6538 is a Persistent CB1 Antagonist In Vivo.

We sought to determine whether the irreversible nature of AM6538 at CB1 could be observed in vivo by testing how long it could block agonist-induced effects in typical mouse cannabinoid response assays: antinociception (warm water tail immersion), hypothermia (rectal-probe thermometer), and catalepsy (bar test). Vehicle pretreatment, administered 1 hour before the initial CP55,940 challenge, served as a control for both day by day effects. C57BL/6J mice were treated with vehicle, SR141716A (3 mg/kg, i.p.) or AM6538 (3 mg/kg, i.p.) and then challenged with CP55,940 (1 mg/kg, i.p) 1 hour, 2 days, 5 days, and 7 days after antagonist treatment (Fig. 8). SR141716A effectively blocked CP55,940-induced effects up to 2 days; however, AM6538 retained efficacy through 5 days as CP55,940 effects were restored on day 7 after initial antagonist dosing (Fig. 8). Thus, the duration of action of AM6538 to block cannabimetic effects of CP55,940 persist beyond those of SR14176A.

Fig. 8.
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Fig. 8.

AM6538 antagonism of CB1-mediated behaviors is more-persistent than SR141716A. Male C57BL/6J mice were treated SR141716A (3 mg/kg i.p.), AM6538 (3 mg/kg i.p.), or vehicle (1:1:8 DMSO:Tween80:dH2O) on day 0 and challenged with CP55,940 (1 mg/kg i.p.). Responsiveness in the tail withdrawal assay (A), body temperature (B), and catalepsy (C) were recorded as described in the Materials and Methods. Data are presented as mean with S.D., n = 6 for each treatment group. **P < 0.01; ***P < 0.001 SR141716A compared with vehicle treatment within day; ^^P < 0.01; ^^^P < 0.001 AM6538 compared with vehicle treatment within day as determined by two-way ANOVA followed by Tukey’s post-hoc analysis.

Discussion

In the present study, we provide the functional characterization of the irreversible, high-affinity CB1 antagonist AM6538 and its derivative compounds, AM4112 and AM6542. AM6538, AM4112, and AM6542 all exhibit the characteristics of competitive orthosteric antagonists of hCB1 in CHO cells stably expressing the receptor. Unlike SR141716A, antagonism of hCB1 by AM6538, AM4112, and AM6542 is resistant to washing in both inhibition of forskolin-stimulated cAMP accumulation and β arrestin 2 recruitment assays. When antagonism of hCB1 is quantified as a function of time, SR141716A displays a ΔpA2 of 0.45 ± 0.10 hour−1, which is in agreement with the previously published dissociation rate (Koff) of [3H]SR141716A (Rinaldi-Carmona et al., 1995). AM6538 displays a change in pA2 of 0.05 ± 0.08 hour−1, which is not different from 0. The change in ΔpA2 for AM4112 (0.18 ± 0.05 hour−1) and AM6542 (0.26 ± 0.05 hour−1) is faster than that of AM6538 and slower than that of SR141716A, but it is not statistically different from either. AM6538 has been reported to be a wash-resistant competitive antagonist of CB1 that inhibited in vivo antinociception and drug discrimination in a dose-dependent manner (Hua et al., 2016; Paronis et al., 2018). The present comprehensive cell culture analyses and the studies of Hua et al. (2016) and Paronis et al. (2018) support our hypothesis that AM6538 acts as an irreversible antagonist of hCB1 in functional studies of receptor action. In the present study, the ΔpA2 was determined through quantification of biologic activity—namely, the inhibition of forskolin-stimulated cAMP accumulation. The approach is limited because antagonist affinity cannot be empirically determined in functional studies; the ΔpA2 represents a change that is determined by measuring downstream effectors and not the direct dissociation of antagonist from receptor (Copeland et al., 2006; Kenakin et al., 2006; Tummino and Copeland, 2008). The major advantage of this approach is that the biologic effect(s) caused by antagonism are often directly attributed to the compounds’ residence time (Copeland et al., 2006; Tummino and Copeland, 2008), and here antagonism of biologic function is expressed as a function of time. Although this approach has been used previously for enzyme antagonists (Tummino and Copeland, 2008), the functional estimate of CB1 antagonist ΔpA2 presented here represents the first such estimation of change in pA2 over time at a GPCR (Kenakin et al., 2006; Tautermann, 2016). This approach should prove useful at other GPCR systems because there is currently an unmet need to determine the functional kinetics of ligand-receptor interaction (Tautermann, 2016).

As an irreversible antagonist, AM6538 selectively depleted the free receptor population of hCB1 in the cell system, as demonstrated by the concentration-dependent decrease in Emax. In all cases, JWH-018 could stimulate signaling (inhibition of forskolin-stimulated cAMP accumulation or β arrestin 2 recruitment), even at the highest concentration of AM6538 used. These data suggest a large hCB1 reserve in the CHO cells being used (Kenakin et al., 2006; Colquhoun, 2007). If the cell system had little or no receptor reserve, then high receptor occupancy by AM6538 would result in a rapid loss of hCB1 agonist-dependent maximum response (Kenakin et al., 2006; Colquhoun, 2007). In vivo studies in mice revealed that AM6538 prevented CP55,940-dependent effects at 1 hour, 2 days, and 5 days after treatment, whereas antagonism of CP55,940 by SR141716A dissipated 2 days after treatment. Similarly, Paronis et al. (2018) observed that 3 or 10 mg/kg AM6538 antagonized THC-, WIN55,212-2-, or AM4054-dependent antinociception and drug discrimination in mice for up to 7 days and reduced the Emax for these effects. AM6538 inhibition of CP55,940 may have worn off by 7 days because AM6538 was excreted. Alternatively, newly synthesized CB1 may have supplanted the receptor population antagonized by AM6538, resulting in the resumption of CP55,940 sensitivity (Howlett et al., 2000).

CB1 antagonists, including SR141716A, are suppresors of appetite and addictive behaviors (Fong and Heymsfield, 2009); however, SR141716A was discontinued in the clinic because its use resulted in dysphoria, depression, and suicidal ideation (Fong and Heymsfield, 2009). It is possible that tight-binding CB1 antagonists with slower off-rates, such as AM4112 and AM6542, may allow for long-lasting inhibition of CB1 that is beneficial compared with more rapidly dissociating antagonists (Cusack et al., 2015). Slowly dissociating antagonists of the protease-activated receptor 1 (Chackalamannil et al., 2008), muscarinic M3 (Moulton and Fryer, 2011), and neurokinin 1 receptors (Lindström et al., 2007) receptors are known to be more efficacious antagonists because of their longer duration of action, reduced dosing frequency, and receptor subtype selectivity. Whether the CB1 antagonists described here are of greater clinical utility than SR141716A remains unknown. Because the crystal structure of CB1 is now known (Hua et al., 2016), we can determine the structure-activity relationship for CB1 ligands to an extent that was not previously possible and develop safer, more effective CB1 antagonists. For this development, AM6538, AM4112, and AM6542 represent compounds whose profiles as competitive antagonists may be useful.

Conclusions

AM6538 is a functionally irreversible antagonist of CB1 in vitro and in vivo. Previous attempts to develop irreversibly binding CB1 antagonists have produced compounds with poor CB1 selectivity (Fernando and Pertwee, 1997) or compounds that bound CB1 but were not functional antagonists (Howlett et al., 2000). AM6538 may prove useful in studying CB1 abundance and turnover in vitro and tolerance and tissue-specific mediation of CB1-evoked effects in vivo (Howlett et al., 2000). AM6538, AM4112, and AM6542 may be useful tools for determining the kinetic effects of CB1 blockade in vivo. The ability to deplete CB1and correlate that depletion with changes in CB1-mediated signal transduction and behaviors (Howlett et al., 2000) will allow a much more thorough understanding of how and where cannabinoid-dependent effects occur than has been possible previously.

Authorship Contributions

Participated in research design: Laprairie, Stahl, Ho, Grim, Makriyannis, Bohn.

Conducted experiments: Laprairie.

Contributed new reagents or analytical tools: Vemuri, Korde, Ho, Wu, Stevens, Hua, Liu, Makriyannis.

Performed data analysis: Laprairie, Stahl, Bohn.

Wrote or contributed to the writing of the manuscript: Laprairie, Vemuri, Stahl, Korde, Ho, Grim, Makriyannis, Bohn.

Footnotes

    • Received March 11, 2019.
    • Accepted August 17, 2019.
  • ↵1 Current affiliation: College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Canada.

  • This work was supported by the National Institutes of Health (NIH) National Institutes on Drug Abuse [Grant P01DA009158] (A.M. and L.M.B.) and Grant R37DA023142 (A.M.)]. R.B.L. is supported by a postdoctoral fellowship from the Canadian Institutes of Health Research.

  • ↵https://doi.org/10.1124/mol.119.116483.

  • Embedded ImageThis article has supplemental material available at molpharm.aspetjournals.org.

Abbreviations

CB1
cannabinoid receptor 1
CHO
Chinese hamster ovary
GPCR
G protein–coupled receptor
HA
hemagglutinin
THC
∆;9-tetrahydrocannabinol
  • Copyright © 2019 by The American Society for Pharmacology and Experimental Therapeutics

References

  1. ↵
    1. Atwood BK,
    2. Huffman J,
    3. Straiker A, and
    4. Mackie K
    (2010) JWH018, a common constituent of ‘Spice’ herbal blends, is a potent and efficacious cannabinoid CB receptor agonist. Br J Pharmacol 160:585–593.
    OpenUrlCrossRefPubMed
  2. ↵
    1. Black JW and
    2. Leff P
    (1983) Operational models of pharmacological agonism. Proc R Soc Lond B Biol Sci 220:141–162.
    OpenUrlCrossRefPubMed
  3. ↵
    1. Black MD,
    2. Stevens RJ,
    3. Rogacki N,
    4. Featherstone RE,
    5. Senyah Y,
    6. Giardino O,
    7. Borowsky B,
    8. Stemmelin J,
    9. Cohen C,
    10. Pichat P, et al.
    (2011) AVE1625, a cannabinoid CB1 receptor antagonist, as a co-treatment with antipsychotics for schizophrenia: improvement in cognitive function and reduction of antipsychotic-side effects in rodents. Psychopharmacology (Berl) 215:149–163.
    OpenUrl
  4. ↵
    1. Bosier B,
    2. Muccioli GG,
    3. Hermans E, and
    4. Lambert DM
    (2010) Functionally selective cannabinoid receptor signalling: therapeutic implications and opportunities. Biochem Pharmacol 80:1–12.
    OpenUrlCrossRefPubMed
  5. ↵
    1. Castillo PE,
    2. Younts TJ,
    3. Chávez AE, and
    4. Hashimotodani Y
    (2012) Endocannabinoid signaling and synaptic function. Neuron 76:70–81.
    OpenUrlCrossRefPubMed
  6. ↵
    1. Chackalamannil S,
    2. Wang Y,
    3. Greenlee WJ,
    4. Hu Z,
    5. Xia Y,
    6. Ahn H-S,
    7. Boykow G,
    8. Hsieh Y,
    9. Palamanda J,
    10. Agans-Fantuzzi J, et al.
    (2008) Discovery of a novel, orally active himbacine-based thrombin receptor antagonist (SCH 530348) with potent antiplatelet activity. J Med Chem 51:3061–3064.
    OpenUrlCrossRefPubMed
  7. ↵
    1. Colquhoun D
    (2007) Why the Schild method is better than Schild realised. Trends Pharmacol Sci 28:608–614.
    OpenUrlCrossRefPubMed
  8. ↵
    1. Copeland RA,
    2. Pompliano DL, and
    3. Meek TD
    (2006) Drug-target residence time and its implications for lead optimization. Nat Rev Drug Discov 5:730–739.
    OpenUrlCrossRefPubMed
  9. ↵
    1. Cusack KP,
    2. Wang Y,
    3. Hoemann MZ,
    4. Marjanovic J,
    5. Heym RG, and
    6. Vasudevan A
    (2015) Design strategies to address kinetics of drug binding and residence time. Bioorg Med Chem Lett 25:2019–2027.
    OpenUrlCrossRefPubMed
  10. ↵
    1. Fernando SR and
    2. Pertwee RG
    (1997) Evidence that methyl arachidonyl fluorophosphonate is an irreversible cannabinoid receptor antagonist. Br J Pharmacol 121:1716–1720.
    OpenUrlCrossRefPubMed
  11. ↵
    1. Flores-Otero J,
    2. Ahn KH,
    3. Delgado-Peraza F,
    4. Mackie K,
    5. Kendall DA, and
    6. Yudowski GA
    (2014) Ligand-specific endocytic dwell times control functional selectivity of the cannabinoid receptor 1. Nat Commun 5:4589, doi: 10.1038/ncomms5589.
    OpenUrlCrossRefPubMed
  12. ↵
    1. Fong TM and
    2. Heymsfield SB
    (2009) Cannabinoid-1 receptor inverse agonists: current understanding of mechanism of action and unanswered questions. Int J Obes 33:947–955.
    OpenUrlCrossRef
  13. ↵
    1. Friesner RA,
    2. Banks JL,
    3. Murphy RB,
    4. Halgren TA,
    5. Klicic JJ,
    6. Mainz DT,
    7. Repasky MP,
    8. Knoll EH,
    9. Shelley M,
    10. Perry JK, et al.
    (2004) Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy. J Med Chem 47:1739–1749.
    OpenUrlCrossRefPubMed
  14. ↵
    1. Friesner RA,
    2. Murphy RB,
    3. Repasky MP,
    4. Frye LL,
    5. Greenwood JR,
    6. Halgren TA,
    7. Sanschagrin PC, and
    8. Mainz DT
    (2006) Extra precision glide: docking and scoring incorporating a model of hydrophobic enclosure for protein-ligand complexes. J Med Chem 49:6177–6196.
    OpenUrlCrossRefPubMed
  15. ↵
    1. Grim TW,
    2. Morales AJ,
    3. Thomas BF,
    4. Wiley JL,
    5. Endres GW,
    6. Negus SS, and
    7. Lichtman AH
    (2017) Apparent CB1 receptor rimonabant affinity estimates: combination with THC and synthetic cannabinoids in the mouse in vivo triad model. J Pharmacol Exp Ther 362:210–218.
    OpenUrlAbstract/FREE Full Text
  16. ↵
    1. Halgren TA,
    2. Murphy RB,
    3. Friesner RA,
    4. Beard HS,
    5. Frye LL,
    6. Pollard WT, and
    7. Banks JL
    (2004) Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening. J Med Chem 47:1750–1759.
    OpenUrlCrossRefPubMed
  17. ↵
    1. Hall DA and
    2. Langmead CJ
    (2010) Matching models to data: a receptor pharmacologist’s guide. Br J Pharmacol 161:1276–1290.
    OpenUrlCrossRefPubMed
  18. ↵
    1. Howlett AC,
    2. Breivogel CS,
    3. Childers SR,
    4. Deadwyler SA,
    5. Hampson RE, and
    6. Porrino LJ
    (2004) Cannabinoid physiology and pharmacology: 30 years of progress. Neuropharmacology 47 (Suppl 1):345–358.
    OpenUrlCrossRefPubMed
  19. ↵
    1. Howlett AC,
    2. Wilken GH,
    3. Pigg JJ,
    4. Houston DB,
    5. Lan R,
    6. Liu Q, and
    7. Makriyannis A
    (2000) Azido- and isothiocyanato-substituted aryl pyrazoles bind covalently to the CB1 cannabinoid receptor and impair signal transduction. J Neurochem 74:2174–2181.
    OpenUrlCrossRefPubMed
  20. ↵
    1. Hua T,
    2. Vemuri K,
    3. Pu M,
    4. Qu L,
    5. Han GW,
    6. Wu Y,
    7. Zhao S,
    8. Shui W,
    9. Li S,
    10. Korde A, et al.
    (2016) Crystal structure of the human cannabinoid receptor CB1. Cell 167:750–762.e14.
    OpenUrlCrossRefPubMed
  21. ↵
    1. Ignatowska-Jankowska BM,
    2. Baillie GL,
    3. Kinsey S,
    4. Crowe M,
    5. Ghosh S,
    6. Owens RA,
    7. Damaj IM,
    8. Poklis J,
    9. Wiley JL,
    10. Zanda M, et al.
    (2015) A cannabinoid CB1 receptor-positive allosteric modulator reduces neuropathic pain in the mouse with no psychoactive effects. Neuropsychopharmacology 40:2948–2959.
    OpenUrl
  22. ↵
    1. Janero DR and
    2. Makriyannis A
    (2009) Cannabinoid receptor antagonists: pharmacological opportunities, clinical experience, and translational prognosis. Expert Opin Emerg Drugs 14:43–65.
    OpenUrlCrossRefPubMed
  23. ↵
    1. Janero DR,
    2. Yaddanapudi S,
    3. Zvonok N,
    4. Subramanian KV,
    5. Shukla VG,
    6. Stahl E,
    7. Zhou L,
    8. Hurst D,
    9. Wager-Miller J,
    10. Bohn LM, et al.
    (2015) Molecular-interaction and signaling profiles of AM3677, a novel covalent agonist selective for the cannabinoid 1 receptor. ACS Chem Neurosci 6:1400–1410.
    OpenUrl
  24. ↵
    1. Kenakin T,
    2. Jenkinson S, and
    3. Watson C
    (2006) Determining the potency and molecular mechanism of action of insurmountable antagonists. J Pharmacol Exp Ther 319:710–723.
    OpenUrlAbstract/FREE Full Text
  25. ↵
    1. Lindström E,
    2. von Mentzer B,
    3. Påhlman I,
    4. Ahlstedt I,
    5. Uvebrant A,
    6. Kristensson E,
    7. Martinsson R,
    8. Novén A,
    9. de Verdier J, and
    10. Vauquelin G
    (2007) Neurokinin 1 receptor antagonists: correlation between in vitro receptor interaction and in vivo efficacy. J Pharmacol Exp Ther 322:1286–1293.
    OpenUrlAbstract/FREE Full Text
  26. ↵
    1. Lutz B,
    2. Marsicano G,
    3. Maldonado R, and
    4. Hillard CJ
    (2015) The endocannabinoid system in guarding against fear, anxiety and stress. Nat Rev Neurosci 16:705–718.
    OpenUrlCrossRefPubMed
  27. ↵
    1. Mackie K
    (2006) Cannabinoid receptors as therapeutic targets. Annu Rev Pharmacol Toxicol 46:101–122.
    OpenUrlCrossRefPubMed
  28. ↵
    1. Makriyannis A and
    2. Vemuri K
    (2014) inventors, University of Connecticut, assignee. Heteropyrrole analogs acting on cannabinoid receptors. U.S. patent US8853205. 2014 Oct 7.
  29. ↵
    1. Makriyannis A and
    2. Vemuri K
    (2017) inventors, University of Connecticut, assignee. Novel cannabinergic nitrate esters and related analogs. U.S. patent US20170001980A9. 2017 Jan 5.
  30. ↵
    1. Makriyannis A,
    2. Vemuri K, and
    3. Olszewska T
    (2011) inventors, University of Connecticut, assignee. Heteropyrrole analogs acting on cannabinoid receptors. U.S. patent 8084451. 2011 Dec 27.
  31. ↵
    1. Köfalvi A
    1. Marsicano G and
    2. Kuner R
    (2008) Anatomical distribution of receptors, ligands and enzymes in the brain and in the spinal cord: circuitries and neurochemistry, in Cannabinoids and the Brain (Köfalvi A ed) pp 161–201, Springer US, Boston.
  32. ↵
    1. Mazier W,
    2. Saucisse N,
    3. Gatta-Cherifi B, and
    4. Cota D
    (2015) The endocannabinoid system: pivotal orchestrator of obesity and metabolic disease. Trends Endocrinol Metab 26:524–537.
    OpenUrlCrossRefPubMed
  33. ↵
    1. Moulton BC and
    2. Fryer AD
    (2011) Muscarinic receptor antagonists, from folklore to pharmacology; finding drugs that work in asthma and COPD. Br J Pharmacol 163:44–52.
    OpenUrlCrossRefPubMed
  34. ↵
    1. Paronis CA,
    2. Chopda GR,
    3. Vemuri K,
    4. Zakarian AS,
    5. Makriyannis A, and
    6. Bergman J
    (2018) Long-lasting in vivo effects of the cannabinoid CB1 antagonist AM6538. J Pharmacol Exp Ther 364:485–493.
    OpenUrlAbstract/FREE Full Text
  35. ↵
    1. Rinaldi-Carmona M,
    2. Barth F,
    3. Héaulme M,
    4. Alonso R,
    5. Shire D,
    6. Congy C,
    7. Soubrié P,
    8. Brelière JC, and
    9. Le Fur G
    (1995) Biochemical and pharmacological characterisation of SR141716A, the first potent and selective brain cannabinoid receptor antagonist. Life Sci 56:1941–1947.
    OpenUrlCrossRefPubMed
  36. ↵
    1. Rinaldi-Carmona M,
    2. Barth F,
    3. Héaulme M,
    4. Shire D,
    5. Calandra B,
    6. Congy C,
    7. Martinez S,
    8. Maruani J,
    9. Néliat G,
    10. Caput D, et al.
    (1994) SR141716A, a potent and selective antagonist of the brain cannabinoid receptor. FEBS Lett 350:240–244.
    OpenUrlCrossRefPubMed
  37. ↵
    1. Rubino T,
    2. Zamberletti E, and
    3. Parolaro D
    (2015) Endocannabinoids and mental disorders. Handb Exp Pharmacol 231:261–283.
    OpenUrl
  38. ↵
    1. Schindler CW,
    2. Redhi GH,
    3. Vemuri K,
    4. Makriyannis A,
    5. Le Foll B,
    6. Bergman J,
    7. Goldberg SR, and
    8. Justinova Z
    (2016) Blockade of nicotine and cannabinoid reinforcement and relapse by a cannabinoid CB1-Receptor neutral antagonist AM4113 and inverse agonist rimonabant in squirrel monkeys. Neuropsychopharmacology 41:2283–2293.
    OpenUrl
  39. ↵
    1. Schrödinger
    (2015) Glide, Version 6.9, Schrödinger, LLC, New York.
  40. ↵
    1. Shao Z,
    2. Yin J,
    3. Chapman K,
    4. Grzemska M,
    5. Clark L,
    6. Wang J, and
    7. Rosenbaum DM
    (2016) High-resolution crystal structure of the human CB1 cannabinoid receptor. Nature 540:602–606.
    OpenUrlCrossRefPubMed
  41. ↵
    1. Stahl EL,
    2. Zhou L,
    3. Ehlert FJ, and
    4. Bohn LM
    (2015) A novel method for analyzing extremely biased agonism at G protein-coupled receptors. Mol Pharmacol 87:866–877.
    OpenUrlAbstract/FREE Full Text
  42. ↵
    1. Tautermann CS
    (2016) Impact, determination and prediction of drug-receptor residence times for GPCRs. Curr Opin Pharmacol 30:22–26.
    OpenUrlCrossRefPubMed
  43. ↵
    1. Tummino PJ and
    2. Copeland RA
    (2008) Residence time of receptor-ligand complexes and its effect on biological function. Biochemistry 47:5481–5492.
    OpenUrlCrossRefPubMed
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Molecular Pharmacology: 96 (5)
Molecular Pharmacology
Vol. 96, Issue 5
1 Nov 2019
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Research ArticleArticle

AM6538: An Irreversible CB1 Antagonist

Robert B. Laprairie, Kiran Vemuri, Edward L. Stahl, Anisha Korde, Jo-Hao Ho, Travis W. Grim, Tian Hua, Yiran Wu, Raymond C. Stevens, Zhi-Jie Liu, Alexandros Makriyannis and Laura M. Bohn
Molecular Pharmacology November 1, 2019, 96 (5) 619-628; DOI: https://doi.org/10.1124/mol.119.116483

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Research ArticleArticle

AM6538: An Irreversible CB1 Antagonist

Robert B. Laprairie, Kiran Vemuri, Edward L. Stahl, Anisha Korde, Jo-Hao Ho, Travis W. Grim, Tian Hua, Yiran Wu, Raymond C. Stevens, Zhi-Jie Liu, Alexandros Makriyannis and Laura M. Bohn
Molecular Pharmacology November 1, 2019, 96 (5) 619-628; DOI: https://doi.org/10.1124/mol.119.116483
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