Channelpedia

PubMed 18587422


Referenced in: none

Automatically associated channels: Kv11.1



Title: Predicting QT prolongation in humans during early drug development using hERG inhibition and an anaesthetized guinea-pig model.

Authors: X Yao, D L Anderson, S A Ross, D G Lang, B Z Desai, D C Cooper, P Wheelan, M S McIntyre, M L Bergquist, K I MacKenzie, J D Becherer, M A Hashim

Journal, date & volume: Br. J. Pharmacol., 2008 Aug , 154, 1446-56

PubMed link: http://www.ncbi.nlm.nih.gov/pubmed/18587422


Abstract
Drug-induced prolongation of the QT interval can lead to torsade de pointes, a life-threatening ventricular arrhythmia. Finding appropriate assays from among the plethora of options available to predict reliably this serious adverse effect in humans remains a challenging issue for the discovery and development of drugs. The purpose of the present study was to develop and verify a reliable and relatively simple approach for assessing, during preclinical development, the propensity of drugs to prolong the QT interval in humans.Sixteen marketed drugs from various pharmacological classes with a known incidence -- or lack thereof -- of QT prolongation in humans were examined in hERG (human ether a-go-go-related gene) patch-clamp assay and an anaesthetized guinea-pig assay for QT prolongation using specific protocols. Drug concentrations in perfusates from hERG assays and plasma samples from guinea-pigs were determined using liquid chromatography-mass spectrometry.Various pharmacological agents that inhibit hERG currents prolong the QT interval in anaesthetized guinea-pigs in a manner similar to that seen in humans and at comparable drug exposures. Several compounds not associated with QT prolongation in humans failed to prolong the QT interval in this model.Analysis of hERG inhibitory potency in conjunction with drug exposures and QT interval measurements in anaesthetized guinea-pigs can reliably predict, during preclinical drug development, the risk of human QT prolongation. A strategy is proposed for mitigating the risk of QT prolongation of new chemical entities during early lead optimization.