ReviewBritish journal of pharmacology2015
The virtual heart as a platform for screening drug cardiotoxicity.
Review in British journal of pharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed.
- Marine-Derived Sterols fromPathogens (Basel, Switzerland) · 2026Article
- Computational analysis of arrhythmogenesis in KCNH2 T618I mutation-associated short QT syndrome and the pharmacological effects of quinidine and sotalol.NPJ systems biology and applications · 2022Article
- Advancements in the Alcohol-Associated Liver Disease Model.Biomolecules · 2022Review
- Article
- The Functional Role of Hyperpolarization Activated Current (Frontiers in physiology · 2021Article
- An ontology for developmental processes and toxicities of neural tube closure.Reproductive toxicology (Elmsford, N.Y.) · 2021Article
- Populations of in silico myocytes and tissues reveal synergy of multiatrial-predominant KBritish journal of pharmacology · 2020Article
- Review
- Strategies for targeting the cardiac sarcomere: avenues for novel drug discovery.Expert opinion on drug discovery · 2020Review
- Inference-based assessment of parameter identifiability in nonlinear biological models.Journal of the Royal Society, Interface · 2018Article
- Article
- Modelling the effects of chloroquine onOncotarget · 2017Article
- Highlights for the 6th International Ion Channel Conference: ion channel structure, function, disease and therapeutics.Acta pharmaceutica Sinica. B · 2017Article
- Evaluation of the Cardiotoxicity of Evodiamine In Vitro and In Vivo.Molecules (Basel, Switzerland) · 2017Article
- Effects of amiodarone on short QT syndrome variant 3 in human ventricles: a simulation study.Biomedical engineering online · 2017Article
- Synergistic Anti-arrhythmic Effects in Human Atria with Combined Use of Sodium Blockers and Acacetin.Frontiers in physiology · 2017Article
- 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
- How computer simulations of the human heart can improve anti-arrhythmia therapy.The Journal of physiology · 2016Review
- Chinese innovation in cardiovascular drug discovery.British journal of pharmacology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
To predict the safety of a drug at an early stage in its development is a major challenge as there is a lack of in vitro heart models that correlate data from preclinical toxicity screening assays with clinical results. A biophysically detailed computer model of the heart, the virtual heart, provides a powerful tool for simulating drug-ion channel interactions and cardiac functions during normal and disease conditions and, therefore, provides a powerful platform for drug cardiotoxicity screening. In this article, we first review recent progress in the development of theory on drug-ion channel interactions and mathematical modelling. Then we propose a family of biomarkers that can quantitatively characterize the actions of a drug on the electrical activity of the heart at multi-physical scales including cellular and tissue levels. We also conducted some simulations to demonstrate the application of the virtual heart to assess the pro-arrhythmic effects of cisapride and amiodarone. Using the model we investigated the mechanisms responsible for the differences between the two drugs on pro-arrhythmogenesis, even though both prolong the QT interval of ECGs. Several challenges for further development of a virtual heart as a platform for screening drug cardiotoxicity are discussed.
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.