In CinC2015 we have shown that the dynamics of the action potential (AP) repolarization could be tracked throughout the stimulation course. Despite some valuable outcomes, the populations of interest (control, Ctrl, and streptozotocin-induced, STZ, diabetic mice) could not be significantly distinguished in term of dynamics because of the global extracted feature. In this study, the computation of new features for each repolarization percentage allows an accurate and meaningful characterization of the two groups leading to a significant classification. APs in isolated left ventricular cardiomyocytes obtained from Ctrl and STZ mice were measured by patch-clamp. The progressive changes in AP repolarization for individual cells were tested on a set of 100 consecutive excitations at 2Hz pacing rate. The corresponding repolarizations are stacked in a matrix decomposed with a new approach. Observations are modeled as a sum of vectors multiplied by specific polynomial functions. This approach is similar to the Singular Value Decomposition (SVD), but the corresponding scalars are replaced by these functions. Model unknowns are estimated by using an alternated least square algorithm. Finally, the mean of the polynomial first derivative is computed for each repolarization percentage as a representative feature. A Wilcoxon signed rank test (p<0.05) has been applied on the features from the two groups. We can observe a significant difference in the late repolarization phase (70%-95% repolarization), with a singular behavior in correspondence with the AP profile shoulder onset (80%).
IntroductionThe duration of the action potential (AP) in cardiomyocytes is an important variable controlling the electrical properties of the normal and pathological myocardium. Prolongation of the AP in myocytes may represent the basis for the increased risk of arrhythmia with diabetes [1], but the determinants of these abnormalities remain to be elucidated. We have shown in [2] that the diabetic condition is associated with alterations in the temporal dynamics of the AP profile in myocytes, a factor that may originate electrical instability. This assessment has been performed by using statistics computed over APs associated to isolated left ventricular myocytes obtained from control (Ctrl)and streptozotocin-induced (STZ) diabetic mice. In [3], these statistical properties (mean and variance) have been replaced by the analysis of the temporal dynamics of the repolarization phase. It has been shown that the two groups could be partly distinguished by introducing a new automatic analysis based on a transformation of each AP.The objective of this paper is not restricted to only fully distinguish the two groups but also to produce additional predictive information on the ionic currents involved in the observed differences. For instance, if the groups are significantly different at specific percentages of repolarization, it implies that ionic currents active in these membrane potential ranges are affected by the hyperglycemic condition. To ac...