Literature DB >> 19061955

Multiscale modelling of drug-induced effects on cardiac electrophysiological activity.

T Brennan1, M Fink, B Rodriguez.   

Abstract

Many drugs fail in the clinical trials and therefore do not reach the market due to adverse effects on cardiac electrical function. This represents a growing concern for both regulatory and pharmaceutical agencies as it translates into important socio-economic costs. Drugs affecting cardiac activity come from diverse pharmacological groups and their interaction with cardiac electrophysiology can result in increased risk of potentially life threatening arrhythmias, such as Torsade de Pointes. The mechanisms of drug interaction with the heart are very complex and the effects span from the ion channel to the whole organ level. This makes their investigation using solely experimental in vitro and in vivo techniques very difficult. Computational modelling of cardiac electrophysiological behaviour has provided insight into the mechanisms of cardiac arrhythmogenesis, with high spatio-temporal resolution, from the ion channel to the whole organ level. It therefore represents a powerful tool in investigating mechanisms of drug-induced changes in cardiac behaviour and in their pro-arrhythmic potential. This article presents a comprehensive review of the recent advances in detailed models of drug action on cardiac electrophysiological activity.

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Year:  2008        PMID: 19061955     DOI: 10.1016/j.ejps.2008.09.013

Source DB:  PubMed          Journal:  Eur J Pharm Sci        ISSN: 0928-0987            Impact factor:   4.384


  39 in total

1.  Modeling the effect of Kv1.5 block on the canine action potential.

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2.  A computational model to predict the effects of class I anti-arrhythmic drugs on ventricular rhythms.

Authors:  Jonathan D Moreno; Z Iris Zhu; Pei-Chi Yang; John R Bankston; Mao-Tsuen Jeng; Chaoyi Kang; Lianguo Wang; Jason D Bayer; David J Christini; Natalia A Trayanova; Crystal M Ripplinger; Robert S Kass; Colleen E Clancy
Journal:  Sci Transl Med       Date:  2011-08-31       Impact factor: 17.956

Review 3.  Integrative modeling of the cardiac ventricular myocyte.

Authors:  Raimond L Winslow; Sonia Cortassa; Brian O'Rourke; Yasmin L Hashambhoy; John Jeremy Rice; Joseph L Greenstein
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2010-09-23

4.  Reduced response to IKr blockade and altered hERG1a/1b stoichiometry in human heart failure.

Authors:  Katherine M Holzem; Juan F Gomez; Alexey V Glukhov; Eli J Madden; Aaron C Koppel; Gregory A Ewald; Beatriz Trenor; Igor R Efimov
Journal:  J Mol Cell Cardiol       Date:  2015-06-17       Impact factor: 5.000

5.  Computational Models for Predictive Cardiac Ion Channel Pharmacology.

Authors:  Vladimir Yarov-Yarovoy; Toby W Allen; Colleen E Clancy
Journal:  Drug Discov Today Dis Models       Date:  2014-08-05

Review 6.  Multiscale Modeling in the Clinic: Drug Design and Development.

Authors:  Colleen E Clancy; Gary An; William R Cannon; Yaling Liu; Elebeoba E May; Peter Ortoleva; Aleksander S Popel; James P Sluka; Jing Su; Paolo Vicini; Xiaobo Zhou; David M Eckmann
Journal:  Ann Biomed Eng       Date:  2016-02-17       Impact factor: 3.934

7.  Experimentally calibrated population of models predicts and explains intersubject variability in cardiac cellular electrophysiology.

Authors:  Oliver J Britton; Alfonso Bueno-Orovio; Karel Van Ammel; Hua Rong Lu; Rob Towart; David J Gallacher; Blanca Rodriguez
Journal:  Proc Natl Acad Sci U S A       Date:  2013-05-20       Impact factor: 11.205

Review 8.  Strategies to Refine Gastric Stimulation and Pacing Protocols: Experimental and Modeling Approaches.

Authors:  Leo K Cheng; Nipuni D Nagahawatte; Recep Avci; Peng Du; Zhongming Liu; Niranchan Paskaranandavadivel
Journal:  Front Neurosci       Date:  2021-04-22       Impact factor: 5.152

9.  Novel approaches to assessing cardiac safety--proceedings of a workshop: regulators, industry and academia discuss the future of in silico cardiac modelling to predict the proarrhythmic safety of drugs.

Authors:  Katherine Fletcher; Rashmi R Shah; Arthur Thomas; Frank Tobin; Blanca Rodriguez; Gary R Mirams; Javier Saiz; Denis Noble
Journal:  Drug Saf       Date:  2011-05-01       Impact factor: 5.606

Review 10.  Application of cardiac electrophysiology simulations to pro-arrhythmic safety testing.

Authors:  Gary R Mirams; Mark R Davies; Yi Cui; Peter Kohl; Denis Noble
Journal:  Br J Pharmacol       Date:  2012-11       Impact factor: 8.739

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