Quantification of repolarization reserve to understand interpatient variability in the response to proarrhythmic drugs: a computational analysis.
Quantification of repolarization reserve to understand interpatient variability in the response to proarrhythmic drugs: a computational analysis.
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DOI:
10.1016/j.hrthm.2011.05.023
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发表时间:
2011-11
期刊:
影响因子:
5.5
通讯作者:
Sobie, Eric A.
中科院分区:
文献类型:
--
作者:
Sarkar, Amrita X.;Sobie, Eric A.
"Repolarization reserve" is frequently invoked to explain why potentially pro-arrhythmic drugs cause, across a population, a range of changes to cardiac action potentials (APs). The mechanisms underlying this inter-individual variability, however, are not understood quantitatively. We performed a novel analysis of mathematical models of ventricular myocytes to quantify repolarization reserve and gain insight into the factors responsible for variability in the response to pro-arrhythmic drugs. In several models of human or canine ventricular myocytes, variability was simulated by randomizing model parameters and running repeated simulations. With each randomly-selected set of parameters, APs before and after simulated 75% block of the rapid delayed rectifier current (IKr) were calculated. Multivariable regression was performed to determine how much each model parameter attenuated or exacerbated the AP prolongation caused by the IKr-blocking drug. Simulations with a human ventricular myocyte model suggest that drug response is influenced most strongly by: 1) the density of IKr; 2) the density of slow delayed rectifier current IKs; 3) the voltage-dependence of IKr inactivation; 4) the density of L-type Ca2+ current and 5) the kinetics of IKs activation. The analysis also identified mechanisms underlying non-intuitive behavior, such as ionic currents that prolong baseline APs but decrease drug-induced AP prolongation. Finally, the simulations provided quantitative insight into conditions that aggravate the drug response, such as silent ion channel mutations and heart failure. These modeling results provide the first thorough quantification of repolarization reserve and improve our understanding of inter-individual variability in adverse drug reactions.
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