Literature DB >> 10411574

Potent and selective human beta(3)-adrenergic receptor antagonists.

M R Candelore1, L Deng, L Tota, X M Guan, A Amend, Y Liu, R Newbold, M A Cascieri, A E Weber.   

Abstract

Although the functional presence of beta(3)-adrenergic receptors (beta(3)-AR) in rodents is well established, its significance in human adipose tissue has been controversial. One of the issues confounding the experimental data has been the lack of potent and selective human beta(3)-AR ligands analogous to the rodent-specific agonist BRL37344. Recently, we described a new class of aryloxypropanolamine beta(3)-AR agonists that potently and selectively activate lipolysis in rhesus isolated adipocytes and stimulate the metabolic rate in rhesus monkeys in vivo. In this article, we describe novel and selective beta(3)-AR antagonists with high affinity for the human receptor. L-748,328 and L-748,337 bind the human cloned beta(3)-AR expressed in Chinese hamster ovary (CHO) cells with an affinity of 3.7 +/- 1.4 and 4.0 +/- 0.4 nM, respectively. They display an affinity of 467 +/- 89 and 390 +/- 154 nM for the human beta(1)-AR. Their selectivity for human beta(3)-AR versus beta(2)-AR is greater than 20-fold (99 +/- 43 nM) and 45-fold (204 +/- 75 nM), respectively. These compounds are competitive antagonists capable of inhibiting the functional activation of agonists in a dose-dependent manner in cells expressing human cloned beta(3)-AR. Moreover, both L-748,328 and L-748,337 inhibit the lipolytic response elicited by the beta(3)-AR agonist L-742,791 in isolated nonhuman primate adipocytes. The aryloxypropanolamine benzenesulfonamide ligands illustrated here and elsewhere demonstrate high-affinity human beta(3)-AR binding. In addition, we describe specific 3'-phenoxy substitutions that transform these compounds from potent agonists into selective antagonists.

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Year:  1999        PMID: 10411574

Source DB:  PubMed          Journal:  J Pharmacol Exp Ther        ISSN: 0022-3565            Impact factor:   4.030


  43 in total

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