Key result
Multiscale entropy analysis of interbeat intervals and field potential durations revealed important differences between healthy and long-QT syndrome hiPSC-derived cardiomyocytes.
Why the study?
Does multiscale entropy analysis reveal differences in the intrinsic complexity of interbeat intervals and field potential durations between healthy and long-QT syndrome hiPSC-CMs?
Does multiscale entropy analysis reveal differences in the intrinsic complexity of interbeat intervals and field potential durations between healthy and long-QT syndrome hiPSC-CMs?
Answers are grounded in this paper and cite their sources.
Multiscale entropy analysis of hiPSC-CMs reveals intrinsic complexity differences between healthy and long-QT syndrome cells, offering a novel method for characterizing hereditary cardiac diseases at the cellular level.
We characterize the complexity of interbeat intervals (IBIs) and field potential durations (FPDs) of human-induced plurioptent stem cell-derived cardiomyocytes (hiPSC-CMs). The complexity is assessed using the multiscale entropy (MSE) method up to the scale of ten beats. The MSE profiles of healthy and diseased (long-QT syndrome) hiPSC-CMs show important differences, which demonstrate the usefulness of the method in the characterization of the cells and in the analysis of hereditary cardiac diseases. We show that the intrinsic complexity is possibly altered by the differentiation methods, as well as the age and mutations of the cells.
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Kim et al. (2018) studied Long-QT syndrome. Long-QT syndrome mutations vs. Healthy hiPSC-CMs was evaluated on Complexity of interbeat intervals (IBIs) and field potential durations (FPDs) assessed using multiscale entropy. Multiscale entropy analysis of interbeat intervals and field potential durations revealed important differences between healthy and long-QT syndrome hiPSC-derived cardiomyocytes.
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