Professor GARY MIRAMS's Outputs (7)

Evaluation of computational modelling as a preclinical proarrhythmic safety assay (2013)
Presentation / Conference Contribution
Mirams, G., Beattie, K., Cui, Y., Luscombe, C., Williams, G., Gavaghan, D., & McMahon, N. (2012, October). Evaluation of computational modelling as a preclinical proarrhythmic safety assay. Presented at Safety Pharmacology Society Annual Meeting, Phoenix, AZ

Many cardiac ion channels are prone to reduced current flow following blockade by pharmaceutical compounds. High throughput screening technologies now allow us to establish this reduction in activity routinely and relatively cheaply. It would be adva... Read More about Evaluation of computational modelling as a preclinical proarrhythmic safety assay.

Evaluation of an in silico cardiac safety assay: Using ion channel screening data to predict QT interval changes in the rabbit ventricular wedge (2013)
Journal Article
Beattie, K. A., Luscombe, C., Williams, G., Munoz-Muriedas, J., Gavaghan, D. J., Cui, Y., & Mirams, G. R. (2013). Evaluation of an in silico cardiac safety assay: Using ion channel screening data to predict QT interval changes in the rabbit ventricular wedge. Journal of Pharmacological and Toxicological Methods, 68(1), 88-96. https://doi.org/10.1016/j.vascn.2013.04.004

Introduction
Drugs that prolong the QT interval on the electrocardiogram present a major safety concern for pharmaceutical companies and regulatory agencies. Despite a range of assays performed to assess compound effects on the QT interval, QT prolo... Read More about Evaluation of an in silico cardiac safety assay: Using ion channel screening data to predict QT interval changes in the rabbit ventricular wedge.

Variability in high-throughput ion-channel screening data and consequences for cardiac safety assessment (2013)
Journal Article
Elkins, R. C., Davies, M. R., Brough, S. J., Gavaghan, D. J., Cui, Y., Abi-Gerges, N., & Mirams, G. R. (2013). Variability in high-throughput ion-channel screening data and consequences for cardiac safety assessment. Journal of Pharmacological and Toxicological Methods, 68(1), 112-122. https://doi.org/10.1016/j.vascn.2013.04.007

Introduction: Unwanted drug interactions with ionic currents in the heart can lead to an increased pro-arrhythmic risk to patients in the clinic. It is therefore a priority for safety pharmacology teams to detect block of cardiac ion channels, and ne... Read More about Variability in high-throughput ion-channel screening data and consequences for cardiac safety assessment.

Estimation of Conductivity Tensors from Human Ventricular Optical Mapping Recordings (2013)
Presentation / Conference Contribution
Walmsley, J., Mirams, G. R., Efimov, I. R., Burrage, K., & Rodriguez, B. (2013, June). Estimation of Conductivity Tensors from Human Ventricular Optical Mapping Recordings. Presented at 7th International Conference, FIMH 2013, London, UK

Experimental recordings of transmural activation in the human left ventricle show variability in recorded activation times. In this paper we demonstrate a framework for fitting the conductivity tensor of a monodomain model to reproduce activation tim... Read More about Estimation of Conductivity Tensors from Human Ventricular Optical Mapping Recordings.

Chaste: An Open Source C++ Library for Computational Physiology and Biology (2013)
Journal Article
Mirams, G. R., Arthurs, C. J., Bernabeu, M. O., Bordas, R., Cooper, J., Corrias, A., Davit, Y., Dunn, S. J., Fletcher, A. G., Harvey, D. G., Marsh, M. E., Osborne, J. M., Pathmanathan, P., Pitt-Francis, J., Southern, J., Zemzemi, N., & Gavaghan, D. J. (2013). Chaste: An Open Source C++ Library for Computational Physiology and Biology. PLoS Computational Biology, 9(3), e1002970. https://doi.org/10.1371/journal.pcbi.1002970

Chaste - Cancer, Heart And Soft Tissue Environment - is an open source C++ library for the computational simulation of mathematical models developed for physiology and biology. Code development has been driven by two initial applications: cardiac ele... Read More about Chaste: An Open Source C++ Library for Computational Physiology and Biology.

mRNA Expression Levels in Failing Human Hearts Predict Cellular Electrophysiological Remodeling: A Population-Based Simulation Study (2013)
Journal Article
Walmsley, J., Rodriguez, J. F., Mirams, G. R., Burrage, K., Efimov, I. R., & Rodriguez, B. (2013). mRNA Expression Levels in Failing Human Hearts Predict Cellular Electrophysiological Remodeling: A Population-Based Simulation Study. PLoS ONE, 8(2), Article e56359. https://doi.org/10.1371/journal.pone.0056359

Differences in mRNA expression levels have been observed in failing versus non-failing human hearts for several membrane channel proteins and accessory subunits. These differences may play a causal role in electrophysiological changes observed in hum... Read More about mRNA Expression Levels in Failing Human Hearts Predict Cellular Electrophysiological Remodeling: A Population-Based Simulation Study.

Computational assessment of drug-induced effects on the electrocardiogram: From ion channel to body surface potentials (2013)
Journal Article
Zemzemi, N., Bernabeu, M. O., Saiz, J., Cooper, J., Pathmanathan, P., Mirams, G. R., Pitt-Francis, J., & Rodriguez, B. (2013). Computational assessment of drug-induced effects on the electrocardiogram: From ion channel to body surface potentials. British Journal of Pharmacology, 168(3), 718-733. https://doi.org/10.1111/j.1476-5381.2012.02200.x

Background and Purpose: Understanding drug effects on the heart is key to safety pharmacology assessment and anti-arrhythmic therapy development. Here our goal is to demonstrate the ability of computational models to simulate the effect of drug actio... Read More about Computational assessment of drug-induced effects on the electrocardiogram: From ion channel to body surface potentials.