Statistical Approach to Incorporating Experimental Variability into a Mathematical Model of the Voltage-Gated Na⁺ Channel and Human Atrial Action Potential

• Main Authors: Daniel Gratz, Alexander J Winkle, Seth H Weinberg, Thomas J Hund
• Format: Article
• Language: English
• Published: MDPI AG 2021-06-01
• Series: Cells
• Subjects: computational model; electrophysiology; atrial fibrillation; arrhythmia; Bayesian statistics; voltage-gated sodium channel
• Online Access: https://www.mdpi.com/2073-4409/10/6/1516

The voltage-gated Na⁺ channel Na_v1.5 is critical for normal cardiac myocyte excitability. Mathematical models have been widely used to study Na_v1.5 function and link to a range of cardiac arrhythmias. There is growing appreciation for the importance of incorporating physiological heterogeneity observed even in a healthy population into mathematical models of the cardiac action potential. Here, we apply methods from Bayesian statistics to capture the variability in experimental measurements on human atrial Na_v1.5 across experimental protocols and labs. This variability was used to define a physiological distribution for model parameters in a novel model formulation of Na_v1.5, which was then incorporated into an existing human atrial action potential model. Model validation was performed by comparing the simulated distribution of action potential upstroke velocity measurements to experimental measurements from several different sources. Going forward, we hope to apply this approach to other major atrial ion channels to create a comprehensive model of the human atrial AP. We anticipate that such a model will be useful for understanding excitability at the population level, including variable drug response and penetrance of variants linked to inherited cardiac arrhythmia syndromes.