Quantitative roles of ion channel dynamics on ventricular action potential
| Autor: | Sevgi Şengül Ayan, Ahmet Kürşad Sırcan |
|---|---|
| Přispěvatelé: | Şengül Ayan, Sevgi, 236492 [Şengül Ayan, Sevgi], 57216946397 [Şengül Ayan, Sevgi] |
| Rok vydání: | 2021 |
| Předmět: |
Work (thermodynamics)
Heart Ventricles Biophysics Phase (waves) Action Potentials Voltaj kapılı iyon kanalları contribution analysis Biochemistry Measure (mathematics) Ion Channels Ventricular action potential Contribution analysis İyonik akımların dinamiği Quantitative analysis Ion channel Physics quantitative analysis Voltage-gated ion channel Mathematical model dynamics of ionic currents ventricular action potential Nicel analiz Dynamics of ionic currents Nonlinear system Ventriküler aksiyon potansiyeli Katkı analizi Voltage-gated ion channels Biological system Ion Channel Gating Research Article Research Paper |
| Zdroj: | Channels article-version (VoR) Version of Record |
| ISSN: | 1933-6969 1933-6950 |
| Popis: | Mathematical models for the action potential (AP) generation of the electrically excitable cells including the heart are involved different mechanisms including the voltage-dependent currents with nonlinear time- and voltage-gating properties. From the shape of the AP waveforms to the duration of the refractory periods or heart rhythms are greatly affected by the functions describing the features or the quantities of these ion channels. In this work, a mathematical measure to analyze the regional contributions of voltage-gated channels is defined by dividing the AP into phases, epochs, and intervals of interest. The contribution of each time-dependent current for the newly defined cardiomyocyte model is successfully calculated and it is found that the contribution of dominant ion channels changes substantially not only for each phase but also for different regions of the cardiac AP. Besides, the defined method can also be applied in all Hodgkin–Huxley types of electrically excitable cell models to be able to understand the underlying dynamics better. No sponsor |
| Databáze: | OpenAIRE |
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