Literature DB >> 24798962

Computer-based prediction of the drug proarrhythmic effect: problems, issues, known and suspected challenges.

Barbara Wiśniowska1, Aleksander Mendyk, Kamil Fijorek, Sebastian Polak.   

Abstract

It is likely that computer modelling and simulations will become an element of comprehensive cardiac safety testing. Their role would be primarily the integration and the interpretation of previously gathered data. There are still unanswered questions and issues which we list and describe below. They include sources of data used for the development of the models as well as data utilized as input information, which can come from the in vitro studies and the quantitative structure-activity relationship models. The pharmacokinetics of the drugs in question play a crucial role as their active concentration should be considered, yet the question remains where is the right place to assess it. The pharmacodynamic angle includes complications coming from multiple drugs (i.e. active metabolites) acting in parallel as well as the type of interaction with (potentially) multiple affected channels. Once established, the model and the methodology of its use should be further validated, optimistically against individual data reported at the clinical level as the physiological, anatomical, and genetic parameters play a crucial role in the drug-triggered arrhythmia induction. All the abovementioned issues should be at least considered and-hopefully-resolved, to properly utilize the mathematical models for a cardiac safety assessment.

Entities:  

Keywords:  Cardiac models; Modelling; Proarrhythmic potency; Simulation; hERG

Mesh:

Substances:

Year:  2014        PMID: 24798962     DOI: 10.1093/europace/euu009

Source DB:  PubMed          Journal:  Europace        ISSN: 1099-5129            Impact factor:   5.214


  6 in total

1.  How circadian variability of the heart rate and plasma electrolytes concentration influence the cardiac electrophysiology - model-based case study.

Authors:  Barbara Wiśniowska; Zofia M Bielecka; Sebastian Polak
Journal:  J Pharmacokinet Pharmacodyn       Date:  2021-03-05       Impact factor: 2.745

2.  Early Drug Discovery Prediction of Proarrhythmia Potential and Its Covariates.

Authors:  Sebastian Polak; Michael K Pugsley; Norman Stockbridge; Christine Garnett; Barbara Wiśniowska
Journal:  AAPS J       Date:  2015-05-05       Impact factor: 4.009

Review 3.  Drug-drug interactions and QT prolongation as a commonly assessed cardiac effect - comprehensive overview of clinical trials.

Authors:  Barbara Wiśniowska; Zofia Tylutki; Gabriela Wyszogrodzka; Sebastian Polak
Journal:  BMC Pharmacol Toxicol       Date:  2016-03-10       Impact factor: 2.483

4.  Inflammation as a Risk Factor in Cardiotoxicity: An Important Consideration for Screening During Drug Development.

Authors:  Chiara Campana; Rafael Dariolli; Mohamed Boutjdir; Eric A Sobie
Journal:  Front Pharmacol       Date:  2021-04-19       Impact factor: 5.810

5.  Deriving waveform parameters from calcium transients in human iPSC-derived cardiomyocytes to predict cardiac activity with machine learning.

Authors:  Hongbin Yang; Will Stebbeds; Jo Francis; Amy Pointon; Olga Obrezanova; Kylie A Beattie; Peter Clements; James S Harvey; Graham F Smith; Andreas Bender
Journal:  Stem Cell Reports       Date:  2022-02-10       Impact factor: 7.294

6.  Early Afterdepolarizations with Growing Amplitudes via Delayed Subcritical Hopf Bifurcations and Unstable Manifolds of Saddle Foci in Cardiac Action Potential Dynamics.

Authors:  Philipp Kügler
Journal:  PLoS One       Date:  2016-03-15       Impact factor: 3.240

  6 in total

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