Beth McMillan, Gary Mirams, and David Gavaghan

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Presentation transcript:

Beth McMillan, Gary Mirams, and David Gavaghan Predicting drug-induced arrhythmia using afterdepolarisations. Beth McMillan, Gary Mirams, and David Gavaghan Department of Computer Science, University of Oxford Methods. Drug block was applied to CellML models of myocytes by decreasing the conduction of the relevant ionic currents. Afterdepolarisations were provoked using several interventions: increasing the L-type calcium current conductance, reducing the hERG current conductance, shifting the inactivation curve of the fast sodium current, and increasing the persistent sodium current. The threshold values of intervention at which afterdepolarisations occurred were then used to sort drugs into risk categories using linear discriminant analysis. This information was then compared to reality. Introduction. Torsades-de-Pointes is a type of arrhythmia that can be caused by drug effects. Existing methods for predicting Torsades include measuring block of the hERG channel, which may be too restrictive, or animal studies, which are expensive. We have investigated a novel method for predicting arrhythmic risk, combining simulated ion channel block with provoked after- depolarisations. Results. Control Nitrendipine Quinidine gCaL X 1 gCaL X 3.73 gCaL X 5.64 gCaL X 7.73 Discussion. This afterdepolarisation-based method for predicting arrhythmic risk is often more accurate than considering hERG block alone, and in some cases is as accurate as using simulated APD90. As such, this method would be a useful complement to other pro-arrhythmic risk markers. Acknowledgements. References.