Literature DB >> 11865666

Models for profiling the potential QT prolongation risk of drugs.

Adam L Muzikant1, R Christian Penland.   

Abstract

The appearance of QT prolongation and arrhythmic events associated with a compound undergoing clinical trials can greatly hamper drug development programs. Assessing the risk of a compound during preclinical studies to cause this cardiotoxicity is thus critically important to the pharmaceutical industry. A wide variety of preclinical approaches exist to evaluate potential QT issues, including in vitro, in vivo and in silico (i.e., computer simulation) methods. We present an evaluation of recent reports implementing these techniques, with an emphasis on the linkage between drug-induced cardiac action potential changes and QT prolongation both in vitro and in silico. We conclude with a strategy that integrates in silico modeling with in vitro and in vivo experimentation to create a compelling package for assessing potential proarrhythmic risk of a compound.

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Mesh:

Year:  2002        PMID: 11865666

Source DB:  PubMed          Journal:  Curr Opin Drug Discov Devel        ISSN: 1367-6733


  4 in total

Review 1.  Unraveling the genetics and mechanisms of cardiac arrhythmia.

Authors:  Denis Noble
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-30       Impact factor: 11.205

2.  Pharmacoepidemiology and "in silico" drug evaluation: is there common ground?

Authors:  Til Stürmer; Kenneth J Rothman; Jerry Avorn
Journal:  J Clin Epidemiol       Date:  2008-03       Impact factor: 6.437

Review 3.  A review of human pluripotent stem cell-derived cardiomyocytes for high-throughput drug discovery, cardiotoxicity screening, and publication standards.

Authors:  Nicholas M Mordwinkin; Paul W Burridge; Joseph C Wu
Journal:  J Cardiovasc Transl Res       Date:  2012-11-15       Impact factor: 4.132

4.  Computational modeling of inhibition of voltage-gated Ca channels: identification of different effects on uterine and cardiac action potentials.

Authors:  Wing-Chiu Tong; Iffath Ghouri; Michael J Taggart
Journal:  Front Physiol       Date:  2014-10-16       Impact factor: 4.566

  4 in total

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