Application of in-silico and in-vitro optogenetic tools to cardiac arrhythmia research

Abstract

Cardiac arrhythmias are a common cause of sudden death worldwide. However, despite decades of thorough investigation the underlying biophysical mechanisms of cardiac arrhythmias are still insufficiently understood due to incomplete theories and the lack of precise spatiotemporal control in experiments. In the last decade, the problem of insufficient spatiotemporal control has started to be tackled by means of a new technique, called optogenetics. This technique employs expression of light-activated proteins, which are activated or deactivated in time and space by switching on/off light (in the near-ultraviolet to near-infrared wavelength range) in specific patterns thus realizing fully biological spatiotemporal control. However, with a few notable exceptions, cardiac optogenetic studies have only confirmed previously known mechanisms and yielded no or little novel mechanistic insights. In this thesis, to fill this gap, we combined nonlinear dynamics theory, numerical simulations and optogenetic experiments with unique spatiotemporal control to theoretically predict and demonstrate novel arrhythmogenic phenomena in cardiac tissue. Thanks to the robustness of the optogenetics methods and generality of the applied theories and computations, this thesis uncovered novel mechanisms for the biophysics of cardiac tissue that are applicable to the functioning of excitable systems in general.

OptogeneticsArrhythmiaCardiomyocytesNonlinear dynamicsComputational modellingReaction-diffusion systemsBifurcations