Abstract

Healthy human heart rate fluctuates overtime showing long-range fractal correlations. In contrast, various cardiac diseases and normal aging show the breakdown of fractal complexity. Recently, it was shown that human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) intrinsically exhibit fractal behavior as in humans. Here, we investigated the fractal complexity of hiPSC-derived long QT-cardiomyocytes (LQT-CMs). We recorded extracellular field potentials from hiPSC-CMs at baseline and under the effect of various compounds including β-blocker bisoprolol, ML277, a specific and potent IKs current activator, as well as JNJ303, a specific IKs blocker. From the peak-to-peak-intervals, we determined the long-range fractal correlations by using detrended fluctuation analysis. Electrophysiologically, the baseline corrected field potential durations (cFPDs) were more prolonged in LQT-CMs than in wildtype (WT)-CMs. Bisoprolol did not have significant effects to the cFPD in any CMs. ML277 shortened cFPD in a dose-dependent fashion by 11 % and 5–11 % in WT- and LQT-CMs, respectively. JNJ303 prolonged cFPD in a dose-dependent fashion by 22 % and 7–13 % in WT- and LQT-CMs, respectively. At baseline, all CMs showed fractal correlations as determined by short-term scaling exponent α. However, in all CMs, the α was increased when pharmacological compounds were applied indicating of breakdown of fractal complexity. These findings suggest that the intrinsic mechanisms contributing to the fractal complexity are not altered in LQT-CMs. The modulation of IKs channel and β1-adrenoreceptors by pharmacological compounds may affect the fractal complexity of the hiPSC-CMs.Electronic supplementary materialThe online version of this article (doi:10.1007/s12015-016-9686-0) contains supplementary material, which is available to authorized users.

Highlights

  • Heart rate dynamics have been previously analyzed using conventional linear and newer nonlinear methods in healthy and diseased states

  • The 208.LQTS type 1 (LQT1) and 211.LQT1 were derived from symptomatic patient whereas 303.LQT1 and 313.LQT1 were derived from asymptomatic mutation carrier

  • We did not find any significant differences in the beating rates (BRs) between WT- and long QT-cardiomyocytes (LQT-CMs) (Fig. 1 a, c, e)

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Summary

Introduction

Heart rate dynamics have been previously analyzed using conventional linear and newer nonlinear methods in healthy and diseased states (for review see Perkiömäki [1]). The characteristic feature of fractals is 1/f-like fluctuations, which has been shown to be present in a healthy human heartbeat [3,4,5,6]. Such fluctuations possess long-range correlations indicative of a memory effect, which means that the heart rate is related to immediately preceding value and to values in the remote past [2]. A number of studies have shown that in various cardiac disease states (e.g. congestive heart failure, myocardial infarction) the fractal 1/f-like long-range correlations of the heartbeat breakdown producing more uncorrelated randomness [7,8,9,10,11,12,13]. It is thought that the breakdown of fractal complexity in heart rate dynamics may cause the system to be less adaptable and less responsive to unpredictable stimuli and stresses increasing susceptibility to injury and illness [6, 16]

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