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Abstract
Five decades of histological, electrophysiological, pharmacological and biochemical investigations exist, but relatively little is known regarding the ionic mechanisms underlying the action potential variations in the ventricle associated with healthy and disease conditions. The computational modelling in murine ventricular myocytes can complement our knowledge of the experimental data and provide us with more quantitative descriptions in understanding different conditions related to normal and disease conditions. This paper initially reviews the theoretical modelling for cardiac ventricular action potentials of various species and the related experimental work. It then focuses on the progress of computational modelling of cardiac ventricular cells for normal, diabetic and spontaneously hypertensive rats. Also presented is the recent modelling efforts of the action potential in mouse ventricular cells. The computational insights gained into the ionic mechanisms in rodents will enhance our understanding of the heart and provide us with new knowledge for future studies to treat cardiac diseases in children and adults.
Highlights
The rat and mouse animal models have been well characterised in terms of cardiac mechanics, biochemistry and basic electrophysiology
Normal cardiac action potentials can be classified into two broad categories: (1) those that are self-oscillatory in nature, such as pacemaker cells; and (2) those that need an external stimulus in order to be evoked, such as atrial or ventricular cells
In addition to its morphological features, ventricular action potentials are commonly measured experimentally to determine its characteristics. These include the resting membrane potential (Vrest), the peak overshoot value, which is the maximum positive value achieved during the initial phase 0 depolarisation, the maximum upstroke velocity that occurs during phase 0, and the action potential duration (APD) measured when the action potentials have repolarised to 50% and 90% of their final repolarisation value, called APD50 and APD90, respectively
Summary
The significance of computational modelling in murine cardiac ventricular cells Semahat S Demir. Joint Graduate Program in Biomedical Engineering, The University of Memphis and The University of Tennessee Health Science Center, Memphis, TN, USA; Adjunct Faculty of Graduate School of Science and Engineering, Is1k University, Maslak, Istanbul, Turkey
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