Human In Silico Drug Trials Demonstrate Higher Accuracy than Animal Models in Predicting Clinical Pro-Arrhythmic Cardiotoxicity-Reference-Cited by-同舟云学术

Human In Silico Drug Trials Demonstrate Higher Accuracy than Animal Models in Predicting Clinical Pro-Arrhythmic Cardiotoxicity

Published:2017-09-12 Issue: Volume:8 Page:
ISSN:1664-042X
Container-title:Frontiers in Physiology
language:
Short-container-title:Front. Physiol.

Author:

Passini Elisa,Britton Oliver J.,Lu Hua Rong,Rohrbacher Jutta,Hermans An N.,Gallacher David J.,Greig Robert J. H.,Bueno-Orovio Alfonso,Rodriguez Blanca

Funder

Wellcome Trust

Engineering and Physical Sciences Research Council

European Commission

National Centre for the Replacement, Refinement and Reduction of Animals in Research

British Heart Foundation

Publisher

Frontiers Media SA

Subject

Physiology (medical),Physiology

Reference73 articles.

1. Early assessment of proarrhythmic risk of drugs using the in vitro data and single-cell-based in silico models: proof of concept;Abbasi;Toxicol. Mech. Methods,2017

2. Assessment of extracellular field potential and Ca2+ transient signals for early QT/pro-arrhythmia detection using human induced pluripotent stem cell-derived cardiomyocytes;Abi-Gerges;J. Pharmacol. Toxicol. Methods,2017

3. Mechanism of reverse rate-dependent action of cardioactive agents;Bányász;Curr. Med. Chem.,2011

4. A historical view and vision into the future of the field of safety pharmacology;Bass,2015

5. Evaluation of an in silico cardiac safety assay: using ion channel screening data to predict QT interval changes in the rabbit ventricular wedge;Beattie;J. Pharmacol. Toxicol. Methods,2013

Cited by 230 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The importance of matrix in cardiomyogenesis: Defined substrates for maturation and chamber specificity;Matrix Biology Plus;2024-12

2. In silico medical device testing of anatomically and mechanically conforming patient-specific spinal fusion cages designed by full-scale topology optimisation;Frontiers in Bioengineering and Biotechnology;2024-09-10

3. Complex in vitro models positioned for impact to drug testing in pharma: a review;Biofabrication;2024-08-27

4. A stacking ensemble machine learning model for evaluating cardiac toxicity of drugs based on in silico biomarkers;CPT: Pharmacometrics & Systems Pharmacology;2024-08-26

5. Informing Hazard Identification and Risk Characterization of Environmental Chemicals by Combining Transcriptomic and Functional Data from Human-Induced Pluripotent Stem-Cell-Derived Cardiomyocytes;Chemical Research in Toxicology;2024-07-24