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Cardiovasc Drugs Ther. 1999 Apr;13(2):123-6.

Beta-blocker selectivity at cloned human beta 1- and beta 2-adrenergic receptors.

Author information

1
Department of Pharmacology Toxicology, Albany Medical College, New York 12208, USA.

Abstract

The ratio between the affinities of beta-blockers for the beta2- and beta1-receptors is often used to predict the cardioselectivity and the potential consequences of blocking beta2-receptor-mediated effects of adrenergic receptor blockers. These ratios have been traditionally determined using various in vitro models of beta2 and beta1-receptor antagonist activity, including isolated organ preparations and radioligand binding in tissues from various species. The data from these studies, while useful, are complicated by the use of different preparations, techniques, and nonhuman models. Recombinant cell lines expressing human beta2 and beta1 receptors have been developed, allowing for the direct comparison of the affinities of the beta-blockers for the beta2 and beta1 receptors under identical conditions, and allowing a precise determination of the beta1-receptor selectivity of the beta-blockers. Bisoprolol, atenolol, propranolol, betaxolol, metoprolol, carvedilol, and ICI 118, 551 were compared for their beta-receptor selectivity using membranes prepared from recombinant cells selectively expressing human beta2 and beta1 receptors. Bisoprolol was found to have the highest selectivity for the beta1 receptor, displaying a beta2/beta1 ratio of 19 (a 19-fold higher affinity for the beta3 receptor than for the beta2 receptor). Atenolol, metoprolol, and betaxolol displayed lower, selectivity for the beta1 receptor, whereas propranolol and carvedilol displayed no significant beta-adrenergic selectivity. ICI 118,55 was selective for the beta2 receptor. The equilibrium dissociation constants of the beta-blockers for the beta1 and beta2 receptors were generally similar to previously reported values. The affinity ratios were also generally similar to previously reported values.

PMID:
10372227
[Indexed for MEDLINE]

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