Literature DB >> 15389727

QT prolongation through hERG K(+) channel blockade: current knowledge and strategies for the early prediction during drug development.

Maurizio Recanatini1, Elisabetta Poluzzi, Matteo Masetti, Andrea Cavalli, Fabrizio De Ponti.   

Abstract

Prolongation of the QT interval of the electrocardiogram is a typical effect of Class III antiarrhythmic drugs, achieved through blockade of potassium channels. In the past decade, evidence has accrued that several classes of drugs used for non-cardiovascular indications may prolong the QT interval with the same mechanism (namely, human ether-a-go-go-related gene (hERG) K(+) channel blockade). The great interest in QT prolongation is because of several reasons. First, drug-induced QT prolongation increases the likelihood of a polymorphous ventricular arrhythmia (namely, torsades de pointes, TdP), which may cause syncope and degenerate into ventricular fibrillation and sudden death. Second, the fact that several classes of drugs, such as antihistamines, fluoroquinolones, macrolides, and neuroleptics may cause the long QT syndrome (LQTS) raises the question whether this is a class effect (e.g., shared by all agents of a given pharmacological class) or a specific effect of single agents within a class. There is now consensus that, in most cases, only a few agents within a therapeutic class share the ability to significantly affect hERG K(+) channels. These compounds should be identified as early as possible during drug development. Third, QT prolongation and interaction with hERG K(+) channels have become surrogate markers of cardiotoxicity and have received increasing regulatory attention. This review briefly outlines the mechanisms leading to QT prolongation and the different strategies that can be followed to predict this unwanted effect. In particular, it will focus on the approaches recently proposed for the in silico screening of new compounds.

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Year:  2005        PMID: 15389727     DOI: 10.1002/med.20019

Source DB:  PubMed          Journal:  Med Res Rev        ISSN: 0198-6325            Impact factor:   12.944


  56 in total

Review 1.  Revealing the structural basis of action of hERG potassium channel activators and blockers.

Authors:  Matthew Perry; Michael Sanguinetti; John Mitcheson
Journal:  J Physiol       Date:  2010-07-19       Impact factor: 5.182

2.  Profiling diverse compounds by flux- and electrophysiology-based primary screens for inhibition of human Ether-à-go-go related gene potassium channels.

Authors:  Beiyan Zou; Haibo Yu; Joseph J Babcock; Pritam Chanda; Joel S Bader; Owen B McManus; Min Li
Journal:  Assay Drug Dev Technol       Date:  2010-12       Impact factor: 1.738

3.  Antimicrobials and the risk of torsades de pointes: the contribution from data mining of the US FDA Adverse Event Reporting System.

Authors:  Elisabetta Poluzzi; Emanuel Raschi; Domenico Motola; Ugo Moretti; Fabrizio De Ponti
Journal:  Drug Saf       Date:  2010-04-01       Impact factor: 5.606

4.  A novel compound PTIQ protects the nigral dopaminergic neurones in an animal model of Parkinson's disease induced by MPTP.

Authors:  Hyo Jin Son; Ji Ae Lee; Nari Shin; Ji Hyun Choi; Jai Woong Seo; Dae Yoon Chi; Cheol Soon Lee; Eun-Mee Kim; Han Choe; Onyou Hwang
Journal:  Br J Pharmacol       Date:  2012-04       Impact factor: 8.739

5.  Development, interpretation and temporal evaluation of a global QSAR of hERG electrophysiology screening data.

Authors:  Claire L Gavaghan; Catrin Hasselgren Arnby; Niklas Blomberg; Gert Strandlund; Scott Boyer
Journal:  J Comput Aided Mol Des       Date:  2007-03-24       Impact factor: 3.686

6.  State dependent dissociation of HERG channel inhibitors.

Authors:  D Stork; E N Timin; S Berjukow; C Huber; A Hohaus; M Auer; S Hering
Journal:  Br J Pharmacol       Date:  2007-06-25       Impact factor: 8.739

7.  Similarity-based SIBAR descriptors for classification of chemically diverse hERG blockers.

Authors:  Khac-Minh Thai; Gerhard F Ecker
Journal:  Mol Divers       Date:  2009-02-14       Impact factor: 2.943

Review 8.  Computational methods in drug discovery.

Authors:  Gregory Sliwoski; Sandeepkumar Kothiwale; Jens Meiler; Edward W Lowe
Journal:  Pharmacol Rev       Date:  2013-12-31       Impact factor: 25.468

Review 9.  Exposure to antibacterial agents with QT liability in 14 European countries: trends over an 8-year period.

Authors:  Emanuel Raschi; Elisabetta Poluzzi; Chiara Zuliani; Arno Muller; Herman Goossens; Fabrizio De Ponti
Journal:  Br J Clin Pharmacol       Date:  2008-11-17       Impact factor: 4.335

10.  A simple approach discriminating cardio-safe drugs from toxic ones.

Authors:  Mizied Falah; Taher Nassar; Anwar Rayan
Journal:  Bioinformation       Date:  2009-06-13
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