Pharmacological properties and predicted binding mode of arylmethylene quinuclidine-like derivatives at the α3β4 nicotinic acetylcholine receptor (nAChR)

We have carried out a pharmacological evaluation of arylmethylene quinuclidine derivatives interactions with human α3β4 nAChRs subtype, using cell-based receptor binding, calcium-influx, electrophysiological patch-clamp assays and molecular modeling techniques. We have found that the compounds bind competitively to the α3β4 receptor with micromolar affinities and some of the compounds behave as non-competitive antagonists (compounds 1, 2 and 3), displaying submicromolar IC₅₀ values. These evidences suggest a mixed mode of action for these compounds, having interactions at the orthosteric site and more pronounced interactions at an allosteric site to block agonist effects. One of the compounds, 1-benzyl-3-(diphenylmethylene)-1-azoniabicyclo[2.2.2]octane chloride (compound 3), exhibited poorly reversible use-dependent block of α3β4 channels. We also found that removal of a phenyl group from compound 1 confers a partial agonism to the derived analog (compound 6). Introducing a hydrogen-bond acceptor into the 3-benzylidene quinuclidine derivative (compound 7) increases agonism potency at the α3β4 receptor subtype. Docking into the orthosteric binding site of a α3β4 protein structure derived by comparative modeling accurately predicted the experimentally-observed trend in binding affinity. Results supported the notion that binding requires a hydrogen bond formation between the ligand basic nitrogen and the backbone carbonyl oxygen atom of the conserved Trp-149.     

The enantiomers of epiboxidine and of two related analogs: synthesis and estimation of their binding affinity at α4β2 and α7 neuronal nicotinic acetylcholine receptors

Epiboxidine hydrochlorides (+)-2 and (-)-2, which are the structural analogs of the antipodes of epibatidine (±)-1, as well as the enantiomeric pairs (+)-3/(-)-3 and (+)-4/(-)-4 were synthesized and tested for binding affinity at α4β2 and α7 nicotinic acetylcholine receptor (nAChR) subtypes. Final derivatives were prepared through the condensation of racemic N-Boc-7-azabicyclo[2.2.1]heptane-2-one (±)-5 with the resolving agent (R)-(+)-2-methyl-2-propanesulfinamide. The pharmacological analysis carried out on the three new enantiomeric pairs evidenced an overall negligible degree of enantioselectivity at both nAChRs subtypes, a result similar to that reported for both natural and unnatural epibatidine enantiomers at the same investigated receptor subtypes.     

Liquid chromatographic studies with immobilized neuronal nicotinic acetylcholine receptor stationary phases: effects of receptor subtypes,pH and ionic strength on drug–receptor interactions

Nicotinic acetylcholine receptor (nAChR) α3-subunits, β4-subunits, α3/β4-subunit combination and α4/β2-subunit combination were immobilized on chromatographic stationary phases and the binding affinities of the different nAChR subtypes were chromatographically evaluated. The observed relative binding affinities of epibatidine were α4/β2>α3/β4 and epibatidine did not bind at α3-subunits and β4-subunits. No significant difference in binding affinities was observed on the α4/β2 nAChRs immobilized in immobilized artificial membrane (IAM) particles and those sterically immobilized on Superdex 200 beads. The effects of mobile phase pH and ionic strength on the binding affinities of the α3/β4 nAChRs support were also investigated. The results are consistent with the proposed ligand–nAChR binding model in which a cationic center exists at the binding site.     

Homology modeling and dynamics of the extracellular domain of rat and human neuronal nicotinic acetylcholine receptor subtypes α4β2 and α7

In recent years, it has become clear that the neuronal nicotinic acetylcholine receptor (nAChR) is a valid target in the treatment of a variety of diseases, including Alzheimer’s disease, anxiety, and nicotine addiction. As with most membrane proteins, information on the three-dimensional (3D) structure of nAChR is limited to data from electron microscopy, at a resolution that makes the application of structure-based design approaches to develop specific ligands difficult. Based on a high-resolution crystal structure of AChBP, homology models of the extracellular domain of the neuronal rat and human nAChR subtypes α4β2 and α7 (the subtypes most abundant in brain) were built, and their stability assessed with molecular dynamics (MD). All models built showed conformational stability over time, confirming the quality of the starting 3D model. Lipophilicity and electrostatic potential studies performed on the rat and human α4β2 and α7 nicotinic models were compared to AChBP, revealing the importance of the hydrophobic aromatic pocket and the critical role of the α-subunit Trp—the homolog of AChBP-Trp 143—for ligand binding. The models presented provide a valuable framework for the structure-based design of specific α4β2 nAChR subtype ligands aimed at improving therapeutic and diagnostic applications. Figure Electrostatic surface potential of the binding site cavity of the neuronal nicotinic acetylcholine receptor (nAChR). Nicotinic models performed with the MOLCAD program: a rat α7, b rat α4β2, c human α7, d human α4β2. All residues labeled are part of the α7 (a,c) or α4 (b,d) subunit with the exception of Phe 117, which belongs to subunit β2 (d). Violet Very negative, blue negative, yellow neutral, red very positive     

The structures of the human neuronal nicotinic acetylcholine receptor β2- and α3-subunit genes (CHRNB2 and CHRNA3)

The α4-subunit gene (CHRNA4) of the neuronal nicotinic acetylcholine receptor (nAChR) subunit family has recently been identified in two families as the gene responsible for autosomal dominant nocturnal frontal lobe epilepsy (ADNFLE), a rare monogenic idiopathic epilepsy. As a result of this finding, other subunits of the neuronal nAChR gene family are being considered as candidate genes for ADNFLE in families not linked to CHRNA4 and for other idiopathic epilepsies. α4-subunitsoften assemble together with β2-subunits (gene symbol CHRNB2) to build heteromeric nAChRs. The gene encoding another abundant AChR subunit, the α3-subunit gene (CHRNA3), is present with those encoding two other subunits, CHRNB4 and CHRNA5, in a gene cluster whose functional role is still unclear. Here we provide the information on the genomic structures of both the CHRNB2 and the CHRNA3 genes that is necessary for comprehensive mutational analyses, and we refine the genomic assignment of CHRNB2 on chromosome 1. Received: 5 August 1998 / Accepted: 13 October 1998     

N,N –Disubstituted piperazines and homopiperazines: Synthesis and affinities at α4β2* and α7* neuronal nicotinic acetylcholine receptors

A series of N, N– disubstituted piperazines and homopiperazines were prepared and evaluated for binding to natural α4β2* and α7* neuronal nicotinic acetylcholine receptors (nAChRs) using whole brain membrane. Some compounds exhibited good selectivity for α4β2* nAChRs and did not interact with the α7* nAChRs subtype. The most potent analogs were compounds 8-19 (K_i = 10.4 μM), 8–13 (K_i = 12.0 μM), and 8–24 (K_i = 12.8 μM). Thus, linking together a pyridine π-system and a cyclic amine moiety via a homopiperazine ring affords compounds with low affinity but with good selectivity for α4β2* nAChRs.     

Molecular docking study on the α3β2 neuronal nicotinic acetylcholine receptor complexed with α-conotoxin GIC

Nicotinic acetylcholine receptors (nAChRs) are a diverse family of homo- or heteropentameric ligand-gated ion channels. Understanding the physiological role of each nAChR subtype and the key residues responsible for normal and pathological states is important. α-Conotoxin neuropeptides are highly selective probes capable of discriminating different subtypes of nAChRs. In this study, we performed homology modeling to generate the neuronal α3, β2 and β4 subunits using the x-ray structure of the α1 subunit as a template. The structures of the extracellular domains containing ligand binding sites in the α3β2 and α3β4 nAChR subtypes were constructed using MD simulations and ligand docking processes in their free and ligand-bound states using α-conotoxin GIC, which exhibited the highest α3β2 vs. α3β4 discrimination ratio. The results provide a reasonable structural basis for such a discriminatory ability, supporting the idea that the present strategy can be used for future investigations on nAChR-ligand complexes.     

Pharmacological and molecular studies on the interaction of varenicline with different nicotinic acetylcholine receptor subtypes. Potential mechanism underlying partial agonism at human α4β2 and α3β4 subtypes

To determine the structural components underlying differences in affinity, potency, and selectivity of varenicline for several human (h) nicotinic acetylcholine receptors (nAChRs), functional and structural experiments were performed. The Ca^2 + influx results established that: (a) varenicline activates (μM range) nAChR subtypes with the following rank sequence: hα7 > hα4β4 > hα4β2 > hα3β4 >>> hα1β1γδ; (b) varenicline binds to nAChR subtypes with the following affinity order (nM range): hα4β2 ~ hα4β4 > hα3β4 > hα7 >>> Torpedo α1β1γδ. The molecular docking results indicating that more hydrogen bond interactions are apparent for α4-containing nAChRs in comparison to other nAChRs may explain the observed higher affinity; and that (c) varenicline is a full agonist at hα7 (101%) and hα4β4 (93%), and a partial agonist at hα4β2 (20%) and hα3β4 (45%), relative to (±)-epibatidine. The allosteric sites found at the extracellular domain (EXD) of hα3β4 and hα4β2 nAChRs could explain the partial agonistic activity of varenicline on these nAChR subtypes. Molecular dynamics simulations show that the interaction of varenicline to each allosteric site decreases the capping of Loop C at the hα4β2 nAChR, suggesting that these allosteric interactions limit the initial step in the gating process. In conclusion, we propose that in addition to hα4β2 nAChRs, hα4β4 nAChRs can be considered as potential targets for the clinical activity of varenicline, and that the allosteric interactions at the hα3β4- and hα4β2-EXDs are alternative mechanisms underlying partial agonism at these nAChRs.     

Synthesis and binding affinity at α4β2 and α7 nicotinic acetylcholine receptors of new analogs of epibatidine and epiboxidine containing the 7-azabicyclo[2.2.1]hept-2-ene ring system

A group of novel racemic nicotinic ligands structurally related to epibatidine or epiboxidine [(±)-10-(±)-17] was synthesized through a palladium-catalyzed cross-coupling between the appropriate vinyl triflate and a range of organometallic heterocycles. The target compounds were evaluated for binding affinity at the α4β2 and α7 neuronal nicotinic receptors (nAChRs). The set of 3-pyridinyl derivatives (±)-10, (±)-11 and (±)-12 exhibited an affinity for the α4β2 nAChR subtype in the subnanomolar range (K(i) values of 0.20, 0.40 and 0.50nM, respectively) and behaved as α4β2 versus α7 subtype selective ligands. Interestingly, the epiboxidine-related dimethylammonium iodide (±)-17, which retained a good affinity for the α4β2 nAChR (K(i)=13.30nM), tightly bound also to the α7 subtype (K(i)=1.60nM), thus displaying a reversal of the affinity trend among the reference and new nicotinic ligands under investigation.     

QM-polarized ligand docking accurately predicts the trend in binding affinity of a series of arylmethylene quinuclidine-like derivatives at the α4β2 and α3β4 nicotinic acetylcholine receptors (nAChRs)

Compounds containing a quinuclidine scaffold are promising drug candidates for pharmacological management of the central nervous system (CNS) pathologies implicating nAChRs. We have carried out binding affinity and in-silico docking studies of arylmethylene quinuclidine-like derivatives at the α4β2 receptor using in-vitro receptor binding assay and comparative modeling, respectively. We found that introducing a hydrogen-bond acceptor into the 3-benzylidene quinuclidine derivative resulted in a 266-fold increase in binding affinity and confers agonism properties. By contrast, addition of a phenyl group to 3-benzylidene quinuclidine derivative only results in an 18-fold increase in binding affinity, without conferring agonism. We also found that docking into the orthosteric binding site of the α4β2 nAChR is consistent with the fact that the basic nitrogen atom donates a hydrogen-bond to the carbonyl group of the highly conserved Trp-149, as initially observed by Dougherty and co-workers.¹ The experimentally-observed trend in binding affinity at both α4β2 and α3β4 nAChRs was accurately and independently confirmed by quantum mechanics (QM)-polarized docking. The reduction in binding affinity to the α3β4 subtype primarily results from a dampening of both coulombic and cation–π interactions.     

Synthesis and radiofluorination of novel fluoren-9-one based derivatives for the imaging of α7 nicotinic acetylcholine receptor with PET

By structure–activity relationship studies on the tilorone scaffold, the ‘one armed’ substituted dibenzothiophenes and the fluoren-9-ones were identified as the most potential α₇ nAChR ligands. While the suitability of dibenzothiophene derivatives as PET tracers is recognized, the potential of fluoren-9-ones is insufficiently investigated. We herein report on a series of fluoren-9-one based derivatives targeting α₇ nAChR with compounds 8a and 8c possessing the highest affinity and selectivity. Accordingly, with [¹⁸F]8a and [¹⁸F]8c we designed and initially evaluated the first fluoren-9-one derived α₇ nAChR selective PET ligands. A future application of these radioligands is facilitated by the herein presented successful implementation of fully automated radiosynthesis.     

Functional and structural interaction of (−)-lobeline with human α4β2 and α4β4 nicotinic acetylcholine receptor subtypes

To determine the pharmacologic activity of (−)-lobeline between human (h)α4β2 and hα4β4 nicotinic acetylcholine receptors (AChRs), functional and structural experiments were performed. The Ca²⁺ influx results established that (−)-lobeline neither actives nor enhances the function of the studied AChR subtypes, but competitively inhibits hα4β4 AChRs with potency ∼10-fold higher than that for hα4β2 AChRs. This difference is due to a higher binding affinity for the [³H]cytisine sites at hα4β4 compared to hα4β2 AChRs, which, in turn, can be explained by our molecular dynamics (MD) results: (1) higher stability of (−)-lobeline and its hydrogen bonds within the α4β4 pocket compared to the α4β2 pocket, (2) (−)-lobeline promotes Loop C to cap the binding site at the α4β4 pocket, but forces Loop C to get apart from the α4β2 pocket, precluding the gating process elicited by agonists, and (3) the orientation of (−)-lobeline within the α4β4, but not the α4β2, subpocket, promoted by the t− (or t+) rotameric state of α4-Tyr98, remains unchanged during the whole MD simulation. This study gives a detailed view of the molecular and dynamics events evoked by (−)-lobeline supporting the differential binding affinity and subsequent inhibitory potency between hα4β2 and hα4β4 AChRs, and supports the possibility that the latter subtype is also involved in its activity.     

Synthesis,in vitro and in vivo studies,and molecular modeling of N-alkylated dextromethorphan derivatives as non-competitive inhibitors of α3β4 nicotinic acetylcholine receptor

9 N-alkylated derivatives of dextromethorphan are synthesized and studied as non-competitive inhibitors of α3β4 nicotinic acetylcholine receptors (nAChRs). In vitro activity towards α3β4 nicotinic acetylcholine receptor is determined using a patch-clamp technique and is in the micromolar range. Homology modeling, molecular docking and molecular dynamics of ligand-receptor complexes in POPC membrane are used to find the mode of interactions of N-alkylated dextromethorphan derivatives with α3β4 nAChR. The compounds, similarly as dextromethorphan, interact with the middle portion of α3β4 nAChR ion channel. Finally, behavioral tests confirmed potential application of the studied compounds for the treatment of addiction.     

Genomic organization and mapping of the human and mouse neuronal β2-nicotinic acetylcholine receptor genes

As a first step in determining whether there are polymorphisms in the nicotinic acetylcholine receptor (nAChR) genes that are associated with nicotine addiction, we isolated genomic clones of the β2-nAChR genes from human and mouse BAC libraries. Although cDNA sequences were available for the human gene, only the promoter sequence had been reported for the mouse gene. We determined the genomic structures by sequencing 12 kb of the human gene and over 7 kb of the mouse gene. While the sizes of exons in the mouse and human genes are the same, the introns differ in size. Both promoters have a high GC content (60–80%) proximal to the AUG and share a neural-restrictive silencer element (NRSE), but overall sequence identity is only 72%. Using a 6-Mb YAC contig of Chr 1, we mapped the human β2-nAChR gene, CHRNB2, to 1q21.3 with the order of markers cen, FLG, IVL, LOR, CHRNB2, tel. The mouse gene, Acrb2, had previously been mapped to Chr 3 in a region orthologous to human Chr 1. We refined mapping of the mouse gene and other markers on a radiation hybrid panel of Chr 3 and found the order cen, Acrb2, Lor, Iv1, Flg, tel. Our results indicate that this cluster of markers on human Chr 1 is inverted with respect to its orientation on the chromosome compared with markers in the orthologous region of mouse Chr 3. Received: 26 January 1999 / Accepted: 10 May 1999     

Novel naphthyloxy derivatives – Potent histamine H3 receptor ligands. Synthesis and pharmacological evaluation

A series of 1- and 2-naphthyloxy derivatives were synthesized and evaluated for histamine H₃ receptor affinity. Most compounds showed high affinities with K_i values below 100?nM. The most potent ligand, 1-(5-(naphthalen-1-yloxy)pentyl)azepane (11) displayed high affinity for the histamine H₃ receptor with a K_i value of 21.9?nM. The antagonist behaviour of 11 was confirmed both in vitro in the cAMP assay (IC₅₀?=?312?nM) and in vivo in the rat dipsogenia model (ED₅₀?=?3.68?nM). Moreover, compound 11 showed positive effects on scopolamine induced-memory deficits in mice (at doses of 10 and 15?mg/kg) and an analgesic effect in the formalin test in mice with ED₅₀?=?30.6?mg/kg (early phase) and ED₅₀?=?20.8?mg/kg (late phase). Another interesting compound, 1-(5-(Naphthalen-1-yloxy)pentyl)piperidine (13; H₃R K_i?=?53.9?nM), was accepted for Anticonvulsant Screening Program at the National Institute of Neurological Disorders and Stroke/National Institute of Health (Rockville, USA). The screening was performed in the maximal electroshock seizure (MES), the subcutaneous pentylenetetrazole (scPTZ) and the 6-Hz psychomotor animal models of epilepsy. Neurologic deficit was evaluated by the rotarod test. Compound 13 inhibited convulsions induced by the MES with ED₅₀ of 19.2?mg/kg (mice, i.p.), 17.8 (rats, i.p.), and 78.1 (rats, p.o.). Moreover, 13 displayed protection against the 6-Hz psychomotor seizures (32?mA) in mice (i.p.) with ED₅₀ of 33.1?mg/kg and (44?mA) ED₅₀ of 57.2?mg/kg.Furthermore, compounds 11 and 13 showed in vitro weak influence on viability of tested cell lines (normal HEK293, neuroblastoma IMR-32, hepatoma HEPG2), weak inhibition of CYP3A4 activity, and no mutagenicity. Thus, these compounds may be used as leads in a further search for histamine H₃ receptor ligands with promising in vitro and in vivo activity.     

Synthesis and characterization of iodopropyl derivatives of adenosine 3′,5′-cyclic-monophosphate: Potential affinity labels of cAMP binding sites in enzymes

The syntheses of two potential cAMP affinity lables, 1,N ⁶-(3-iodopropyleno)adenosine 3′,5′-cyclic-monophosphate and 2′-O-(2-iodo-3-hydroxypropyl) adenosine 3′,5′-cyclic-monophosphate, by a two-step chemical procedure are described. TheN ⁶- and 2′-O-allyl intermediates were prepared selectively by alkylation of cAMP in organic and alkaline aqueous solutions, respectively. Treatment of theN ⁶-allyl derivative withN-iodosuccinimide resulted in iodine addition to the double bond and cyclization to theN ¹ position of the purine ring. The iodohydrin analog was synthesized by reaction of 2′-O-allyl-cAMP with potassium iodide and thallium trichloride in acetate buffered solution. The products were isolated by column chromatography and characterized by thin-layer chromatography, elemental analysis, and ultraviolet,¹³C, and¹H NMR spectroscopy. The cAMP analogs were found to react with lysine and cysteine. Both cAMP derivatives were tested for their reaction with the low-K _m cAMP phosphodiesterase of human platelets. The ribose-substituted analog functioned as a competitive inhibitor (K _I =0.72 μM) and caused a time-dependent irreversible inactivation of the phosphodiesterase. In contrast, the purine-substituted derivative acted neither as a reversible competitive inhibitor nor as an irreversible inactivator of the enzyme. These results indicate the specificity of these potential cAMP analogs in their interaction with the phosphodiesterase.     

Computational neural network analysis of the affinity of N-n-alkylnicotinium salts for the α4β2* nicotinic acetylcholine receptor

Based on an 85 molecule database, linear regression with different size datasets and an artificial neural network approach have been used to build mathematical relationships to fit experimentally obtained affinity values (K_i) of a series of mono- and bis-quaternary ammonium salts from [³H]nicotine binding assays using rat striatal membrane preparations. The fitted results were then used to analyze the pattern among the experimental K_i values of a set of N-n-alkylnicotinium analogs with increasing n-alkyl chain length from 1 to 20 carbons. The affinity of these N-n-alkylnicotinium compounds was shown to parabolically vary with increasing numbers of carbon atoms in the n-alkyl chain, with a local minimum for the C₄ (n-butyl) analogue. A decrease in K_i value between C₁₂ and C₁₃ was also observed. The statistical results for the best neural network fit of the 85 experimental K_i values are r² = 0.84, rmsd = 0.39; r_cv² = 0.68, and loormsd = 0.56. The generated neural network model with the 85 molecule training set may also be of value for future predictions of K_i values for new virtual compounds, which can then be identified, subsequently synthesized, and tested experimentally.