Rate-dependent effects of lidocaine on cardiac dynamics: Development and analysis of a low-dimensional drug-channel interaction model

TL;DR

This study develops a simplified low-dimensional model to analyze how lidocaine's rate-dependent blocking effects on cardiac sodium channels influence arrhythmia treatment, linking drug kinetics with cardiac dynamics.

Contribution

The paper introduces a novel 3-variable model that captures lidocaine's rate-dependent effects on cardiac sodium channels, simplifying complex Markov models while retaining key dynamics.

Findings

Rate-dependent block increases with diastolic potential and restitution alterations.

Model predicts insensitivity of rate-dependent block to action potential shape and binding rates.

Low-dimensional model accurately replicates voltage-clamp data and action potential effects.

Abstract

State-dependent Na+ channel blockers are often prescribed to treat cardiac arrhythmias, but many Na+ channel blockers are known to have pro-arrhythmic side effects. While the anti and proarrhythmic potential of a Na+ channel blocker is thought to depend on the characteristics of its rate-dependent block, the mechanisms linking these two attributes are unclear. Furthermore, how specific properties of rate-dependent block arise from the binding kinetics of a particular drug is poorly understood. Here, we examine the rate-dependent effects of the Na+ channel blocker lidocaine by constructing and analyzing a novel drug-channel interaction model. First, we identify the predominant mode of lidocaine binding in a 24 variable Markov model for lidocaine-Na+ channel interaction by Moreno et al. We then develop a novel 3-variable lidocaine-Na+ channel interaction model that incorporates only the predominant mode of drug binding. Our low-dimensional model replicates the extensive voltage-clamp data used to parameterize the Moreno et al. model. Furthermore, the effects of lidocaine on action potential upstroke velocity and conduction velocity in our model are similar to those predicted by the Moreno et al. model. By exploiting the low-dimensionality of our model, we derive an algebraic expression for level of rate-dependent block as a function of pacing frequency, restitution properties, diastolic and plateau potentials, and drug binding rate constants. Our model predicts that the level of rate-dependent block is sensitive to alterations in restitution properties and increases in diastolic potential, but it is insensitive to variations in the shape of the action potential waveform and lidocaine binding rates.