2016
DOI: 10.1016/j.yjmcc.2015.09.003
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Mechanisms of pro-arrhythmic abnormalities in ventricular repolarisation and anti-arrhythmic therapies in human hypertrophic cardiomyopathy

Abstract: IntroductionHypertrophic cardiomyopathy (HCM) is a cause of sudden arrhythmic death, but the understanding of its pro-arrhythmic mechanisms and an effective pharmacological treatment are lacking. HCM electrophysiological remodelling includes both increased inward and reduced outward currents, but their role in promoting repolarisation abnormalities remains unknown. The goal of this study is to identify key ionic mechanisms driving repolarisation abnormalities in human HCM, and to evaluate anti-arrhythmic effec… Show more

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Cited by 102 publications
(135 citation statements)
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“…By using human ventricular cell models of electrophysiology, we were able to provide mechanistic explanations of the increased inducibility of RAs under hERG block. Our results showed that I CaL re-activation was the key mechanism of RAs under hERG block, which was consistent with the mechanism revealed by sheep Purkinje fiber experiments (January et al, 1988;January and Riddle, 1989) and previous modeling investigations (Zeng and Rudy, 1995;Passini et al, 2016). Therefore, if calcium block effect is not considered, the TdP risk of a compound may be overestimated.…”
Section: Tdp Scores Computed Up To 30 Folds Of Eftpc Max Are Not Suffsupporting
confidence: 90%
See 1 more Smart Citation
“…By using human ventricular cell models of electrophysiology, we were able to provide mechanistic explanations of the increased inducibility of RAs under hERG block. Our results showed that I CaL re-activation was the key mechanism of RAs under hERG block, which was consistent with the mechanism revealed by sheep Purkinje fiber experiments (January et al, 1988;January and Riddle, 1989) and previous modeling investigations (Zeng and Rudy, 1995;Passini et al, 2016). Therefore, if calcium block effect is not considered, the TdP risk of a compound may be overestimated.…”
Section: Tdp Scores Computed Up To 30 Folds Of Eftpc Max Are Not Suffsupporting
confidence: 90%
“…The baseline model used in this study is the O'Hara-Rudy dynamic (ORd) human endocardial ventricular AP model (O'Hara et al, 2011), developed using data from over 100 human hearts, with modifications to the fast sodium channel (Passini et al, 2016). It includes detailed representation of the potassium, sodium and calcium sarcolemmal currents, as well as intracellular calcium handling (including SERCA pump and c a l c i u m -i n d u c e d c a l c i u m r e l e a s e m e c h a n i s m ) .…”
Section: Optimization Of the Population Of Human Ventricular Modelsmentioning
confidence: 99%
“…In experimental studies, the prolongation of ventricular repolarization in HCM is the result of pathologies on many levels. The action potential is prolonged as the net repolarizing current is diminished by increased late‐type Na and Ca 2+ currents ( I NaL and I CaL ) and selective down regulation of the outward rectifying current ( I Kr )(Coppini et al., ; Crocini et al., ; Passini et al., ). The repolarization in the myocardium is also delayed due to hypertrophy (Badran et al., ) and global repolarization is spatially dispersed due to the asymmetric location of hypertrophy (Sakata et al., ).…”
Section: Discussionmentioning
confidence: 99%
“…Population-based approaches have been widely adopted in the recent years in the field of computational cardiac electrophysiology [1], [2], [3], [4], [5], [6], [7], [8]. The classical analysis performed with a single action potential (AP) model has been extended to the study of the properties emerging in a broad group of models (called “population”).…”
Section: Methods Detailsmentioning
confidence: 99%
“…We use here the same value of σ (0.1) for all the parameters. Alternatively, different standard deviations can be used to reproduce the degree of variability experimentally determined for each parameter [6], [7], [23]. Note that while this choice does not alter the subsequent steps of this analysis, when increasing the range of variability of the model parameter, one needs to (i) discard non-physiological models; and (ii) ensure representative coverage of the parameter space (convergence of sensitivity coefficients upon stable values) by increasing the number of model variants [2].…”
Section: Methods Detailsmentioning
confidence: 99%