Dataset Information

Novel ?3?4 nicotinic acetylcholine receptor-selective ligands. Discovery, structure-activity studies, and pharmacological evaluation.

ABSTRACT: Antagonist activity at the ?3?4 nicotinic acetylcholine receptor (nAChR) is thought to contribute to the antiaddictive properties of several compounds. However, truly selective ligands for the ?3?4 nAChR have not been available. We report the discovery and SAR of a novel class of compounds that bind to the ?3?4 nAChR and have no measurable affinity for the ?4?2 or ?7 subtype. In functional assays the lead compound antagonized epibatidine-induced Ca(2+) flux in ?3?4-transfected cells in a noncompetitive manner.

SUBMITTER: Zaveri N

PROVIDER: S-EPMC2997436 | biostudies-literature | 2010 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Novel α3β4 nicotinic acetylcholine receptor-selective ligands. Discovery, structure-activity studies, and pharmacological evaluation.

Zaveri Nurulain N Jiang Faming F Olsen Cris C Polgar Willma W Toll Lawrence L

Journal of medicinal chemistry 20101027 22

Antagonist activity at the α3β4 nicotinic acetylcholine receptor (nAChR) is thought to contribute to the antiaddictive properties of several compounds. However, truly selective ligands for the α3β4 nAChR have not been available. We report the discovery and SAR of a novel class of compounds that bind to the α3β4 nAChR and have no measurable affinity for the α4β2 or α7 subtype. In functional assays the lead compound antagonized epibatidine-induced Ca(2+) flux in α3β4-transfected cells in a noncomp ...[more]

PMID: 20979364

Similar Datasets

Project description:Interest in nicotinic acetylcholine receptor (nAChR) ligands as potential therapeutic agents for cognitive disorders began more than 30 years ago when it was first demonstrated that the tobacco alkaloid nicotine could improve cognitive function in nicotine-deprived smokers as well as nonsmokers. Numerous animal and human studies now indicate that nicotine and a variety of nAChR ligands have the potential to improve multiple domains of cognition including attention, spatial learning, working memory, recognition memory, and executive function. The purpose of this review is to (1) discuss several pharmacologic strategies that have been developed to enhance nAChR activity (eg, agonist, partial agonist, and positive allosteric modulator) and improve cognitive function, (2) provide a brief overview of some of the more common rodent behavioral tasks with established translational validity that have been used to evaluate nAChR ligands for effects on cognitive function, and (3) briefly discuss some of the topics of debate regarding the development of optimal therapeutic strategies using nAChR ligands. Because of their densities in the mammalian brain and the amount of literature available, the review primarily focuses on ligands of the high-affinity ?4?2* nAChR ("*" indicates the possible presence of additional subunits in the complex) and the low-affinity ?7 nAChR. The behavioral task discussion focuses on representative methods that have been designed to model specific domains of cognition that are relevant to human neuropsychiatric disorders and often evaluated in human clinical trials. IMPLICATIONS:The preclinical literature continues to grow in support of the development of nAChR ligands for a variety of illnesses that affect humans. However, to date, no new nAChR ligand has been approved for any condition other than nicotine dependence. As discussed in this review, the studies conducted to date provide the impetus for continuing efforts to develop new nAChR strategies (ie, beyond simple agonist and partial agonist approaches) as well as to refine current behavioral strategies and create new animal models to address translational gaps in the drug discovery process.

Project description:Background and purposeDespite growing evidence that inhibition of α6β2-containing (α6β2*) nicotinic acetylcholine receptors (nAChRs) may be beneficial for the therapy of tobacco addiction, the lack of good sources of α6β2*-nAChRs has delayed the discovery of α6β2-selective antagonists. Our aim was to generate a cell line stably expressing functional nAChRs with α6β2 properties, to enable pharmacological characterization and the identification of novel α6β2-selective antagonists.Experimental approachDifferent combinations of the α6, β2, β3, chimeric α6/3 and mutant β3(V273S) subunits were transfected in human embryonic kidney cells and tested for activity in a fluorescent imaging plate reader assay. The pharmacology of rat immune-immobilized α6β2*-nAChRs was determined with ¹²⁵I-epibatidine binding.Key resultsFunctional channels were detected after co-transfection of α6/3, β2 and β3(V273S) subunits, while all other subunit combinations failed to produce agonist-induced responses. Stably expressed α6/3β2β3(V273S)-nAChR pharmacology was unique, and clearly distinct from α4β2-, α3β4-, α7- and α1β1δε-nAChRs. Antagonist potencies in inhibiting α6/3β2β3(V273S) -nAChRs was similar to their binding affinity for rat native α6β2*-nAChRs. Agonist affinities for α6β2*-nAChRs was higher than their potency in activating α6/3β2β3(V273S)-nAChRs, but their relative activities were equivalent. Focussed set screening at α6/3β2β3(V273S)-nAChRs, followed by cross-screening with the other nAChRs, led to the identification of novel α6β2-selective antagonists.Conclusions and implicationsWe generated a mammalian cell line stably expressing nAChRs, with pharmacological properties similar to native α6β2*-nAChRs, and used it to identify novel non-peptide, low molecular weight, α6β2-selective antagonists. We also propose a pharmacophore model of α6β2 antagonists, which offers a starting point for the development of new smoking cessation agents.

Dataset Information

Novel ?3?4 nicotinic acetylcholine receptor-selective ligands. Discovery, structure-activity studies, and pharmacological evaluation.

Publications

Novel α3β4 nicotinic acetylcholine receptor-selective ligands. Discovery, structure-activity studies, and pharmacological evaluation.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets