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Journal of Animal Science, Vol 79, Issue 4 877-883, Copyright © 2001 by American Society of Animal Science

JOURNAL ARTICLE

Profile of ligand binding to the porcine beta2-adrenergic receptor

W. Liang and S. Mills
Department of Animal Sciences, Purdue University, West Lafayette, IN 47907, USA.

Chinese hamster ovary cells expressing the porcine beta2-adrenergic receptor (betaAR) were used to determine the binding kinetics of agonists and antagonists by competitive displacement of the radioligand [125I]iodocyanopindolol. Several purported agonists, including isoproterenol, epinephrine, norepinephine, dobutamine, salbutamol, and terbutaline, exhibited dual-affinity displacement curves, which is characteristic of agonist binding to betaAR. In each case, the addition of guanosine triphosphate (GTP) eliminated the high-affinity state and resulted in a one-site displacement curve. All of the antagonists modeled to only one site in the presence or absence of GTP. Several ligands, including ones used to promote animal growth (clenbuterol, L-644,969, and ractopamine) and the beta3AR-selective agonist BRL 37344 modeled to only one site, suggesting that these ligands would not be full agonists at the porcine beta2AR (pbeta2AR). Most of the tested ligands exhibited binding affinities that were similar to published values for the beta2AR from other species. However, several exceptions were observed. The BRL 37344 ligand bound the pbeta2AR with a 10-fold higher affinity than the human beta2AR, and the Kd of this was similar to Kd values reported for the human and rat beta3AR. The Kd of the pbeta2AR for ICI 118,551 was 50-fold higher than that for the beta2AR from rats and humans. For both BRL 37344 and ICI 118,551 the subtype-selective character of these ligands was different in the pig compared with the human and rat. These data demonstrate the value of using species-specific betaAR for selection of agonists and antagonists. Further, these data support the growing evidence that few ligands are full agonists for pbetaAR and that binding data may be useful for identifying ligands with full agonist potential.


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