Key result
The axis of arrhythmia metric predicted the clinical torsadogenic risk labels of 109 drugs with an accuracy of 88.1% to 90.8% based on their profile of multi-channel block.
Why the study?
Standard pro-arrhythmic safety protocols primarily focus on IKr blockade, but risk is better assessed using four key ion currents (IKr, ICaL, INaL, IKs).
Does a computational metric based on multi-channel block (axis of arrhythmia) accurately predict the torsadogenic risk of drugs in simulated cardiomyocytes?
Does a computational metric based on multi-channel block (axis of arrhythmia) accurately predict the torsadogenic risk of drugs in simulated cardiomyocytes?
Absolute Event Rate: 90.8% vs 78.9%
A novel computational metric based on multi-channel block accurately predicts drug-induced torsadogenic risk, offering a highly accurate in silico alternative to animal testing for safety pharmacology.
Many classes of drugs can induce fatal cardiac arrhythmias by disrupting the electrophysiology of cardiomyocytes. Safety guidelines thus require all new drugs to be assessed for pro-arrhythmic risk prior to conducting human trials. The standard safety protocols primarily focus on drug blockade of the delayed-rectifier potassium current (IKr). Yet the risk is better assessed using four key ion currents (IKr, ICaL, INaL, IKs). We simulated 100,000 phenotypically diverse cardiomyocytes to identify the underlying relationship between the blockade of those currents and the emergence of ectopic beats in the action potential. We call that relationship the axis of arrhythmia. It serves as a yardstick for quantifying the arrhythmogenic risk of any drug from its profile of multi-channel block alone. We tested it on 109 drugs and found that it predicted the clinical risk labels with an accuracy of 88.1% to 90.8%. Pharmacologists can use our method to assess the safety of novel drugs without resorting to animal testing or unwieldy computer simulations.
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Heitmann et al. (2023) studied Drug-induced Torsades des Pointes (n=100,000). Axis of arrhythmia metric vs. Conventional hERG assay was evaluated on Accuracy in predicting clinical risk labels (UNSAFE vs SAFE). The axis of arrhythmia metric predicted the clinical torsadogenic risk labels of 109 drugs with an accuracy of 88.1% to 90.8% based on their profile of multi-channel block.
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