Key result
Veratridine plus disopyramide optimally repairs SQT1 ventricular myocyte waveforms in computational models.
Why the study?
Ion channel mutations causing action potential shortening or prolongation can have life-threatening consequences, prompting the need for computational methods to identify optimal combinations of existing drugs that repair mutant action potential waveforms.
Does a computed optimal combination of existing drugs restore baseline action potential properties in computational models of SQT1 ventricular myocytes?
Does a computed optimal combination of existing drugs restore baseline action potential properties in computational models of SQT1 ventricular myocytes?
A novel computational method can identify optimal combinations of existing drugs to restore normal action potential properties in models of short QT syndrome type 1, highlighting species- and cell-type-specific drug responses.
Answers are grounded in this paper and cite their sources.
Should not change SQT1 management; hypothesis-generating for computational drug-repurposing screens.
Mutations are known to cause perturbations in essential functional features of integral membrane proteins, including ion channels. Even restricted or point mutations can result in substantially changed properties of ion currents. The additive effect of these alterations for a specific ion channel can result in significantly changed properties of the action potential (AP). Both AP shortening and AP prolongation can result from known mutations, and the consequences can be life-threatening. Here, we present a computational method for identifying new drugs utilizing combinations of existing drugs. Based on the knowledge of theoretical effects of existing drugs on individual ion currents, our aim is to compute optimal combinations that can 'repair' the mutant AP waveforms so that the baseline AP-properties are restored. More specifically, we compute optimal, combined, drug concentrations such that the waveforms of the transmembrane potential and the cytosolic calcium concentration of the mutant cardiomyocytes (CMs) becomes as similar as possible to their wild type counterparts after the drug has been applied. In order to demonstrate the utility of this method, we address the question of computing an optimal drug for the short QT syndrome type 1 (SQT1). For the SQT1 mutation N588K, there are available data sets that describe the effect of various drugs on the mutated K+ channel. These published findings are the basis for our computational analysis which can identify optimal compounds in the sense that the AP of the mutant CMs resembles essential biomarkers of the wild type CMs. Using recently developed insights regarding electrophysiological properties among myocytes from different species, we compute optimal drug combinations for hiPSC-CMs, rabbit ventricular CMs and adult human ventricular CMs with the SQT1 mutation. Since the 'composition' of ion channels that form the AP is different for the three types of myocytes under consideration, so is the composition of the optimal drug.
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Jæger et al. (2021) studied Short QT syndrome type 1 (SQT1). Computational drug combination (e.g., veratridine and disopyramide) vs. Single drugs or no drug (SQT1 baseline) was evaluated on Cost function value (difference from wild type biomarkers). A computational modeling approach identified that a combination of veratridine and disopyramide optimally repaired the action potential and calcium transient waveforms of SQT1 ventricular myocytes.
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