ReviewPhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2010
Arrhythmic risk biomarkers for the assessment of drug cardiotoxicity: from experiments to computer simulations.
Review in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 49 citations in OpenAlex.
- Prediction of arrhythmia susceptibility through mathematical modeling and machine learning.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- In-silico study of the cardiac arrhythmogenic potential of biomaterial injection therapy.Scientific reports · 2020Article
- Cardiac Rhythm and Molecular Docking Studies of Ion Channel Ligands with Cardiotoxicity in Zebrafish.Cells · 2019Article
- Inference-based assessment of parameter identifiability in nonlinear biological models.Journal of the Royal Society, Interface · 2018Article
- In silico assessment of the effects of quinidine, disopyramide and E-4031 on short QT syndrome variant 1 in the human ventricles.PloS one · 2017Article
- Inter-individual variability and modeling of electrical activity: a possible new approach to explore cardiac safety?Scientific reports · 2016Article
- Evolution of strategies to improve preclinical cardiac safety testing.Nature reviews. Drug discovery · 2016Review
- The virtual heart as a platform for screening drug cardiotoxicity.British journal of pharmacology · 2015Review
- Effects of L-type calcium channel and human ether-a-go-go related gene blockers on the electrical activity of the human heart: a simulation study.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2015Article
- Automated Detection of Benzodiazepine Dosage in ICU Patients through a Computational Analysis of Electrocardiographic Data.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015Article
- Combining wet and dry research: experience with model development for cardiac mechano-electric structure-function studies.Cardiovascular research · 2013Review
- Computational assessment of drug-induced effects on the electrocardiogram: from ion channel to body surface potentials.British journal of pharmacology · 2013Article
- Application of cardiac electrophysiology simulations to pro-arrhythmic safety testing.British journal of pharmacology · 2012Review
- The use of integrated and intelligent testing strategies in the prediction of toxic hazard and in risk assessment.Advances in experimental medicine and biology · 2012Review
- A multiscale investigation of repolarization variability and its role in cardiac arrhythmogenesis.Biophysical journal · 2011Article
- Rabbit-specific ventricular model of cardiac electrophysiological function including specialized conduction system.Progress in biophysics and molecular biology · 2011Article
- Article
- ECG-based estimation of dispersion of APD restitution as a tool to stratify sotalol-induced arrhythmic risk.Journal of electrocardiologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
Abstract
In this paper, we illustrate how advanced computational modelling and simulation can be used to investigate drug-induced effects on cardiac electrophysiology and on specific biomarkers of pro-arrhythmic risk. To do so, we first perform a thorough literature review of proposed arrhythmic risk biomarkers from the ionic to the electrocardiogram levels. The review highlights the variety of proposed biomarkers, the complexity of the mechanisms of drug-induced pro-arrhythmia and the existence of significant animal species differences in drug-induced effects on cardiac electrophysiology. Predicting drug-induced pro-arrhythmic risk solely using experiments is challenging both preclinically and clinically, as attested by the rise in the cost of releasing new compounds to the market. Computational modelling and simulation has significantly contributed to the understanding of cardiac electrophysiology and arrhythmias over the last 40 years. In the second part of this paper, we illustrate how state-of-the-art open source computational modelling and simulation tools can be used to simulate multi-scale effects of drug-induced ion channel block in ventricular electrophysiology at the cellular, tissue and whole ventricular levels for different animal species. We believe that the use of computational modelling and simulation in combination with experimental techniques could be a powerful tool for the assessment of drug safety pharmacology.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.