Optogenetics-enabled assessment of viral gene and cell therapy for restoration of cardiac excitability
Year: 2015
Type: article
Abstract: Multiple cardiac pathologies are accompanied by loss of tissue excitability, which leads to a range of heart rhythm disorders (arrhythmias). In addition to electronic device therapy (i.e. implantable pacemakers and cardioverter/defibrillators), biological approaches have recently been explored to restore pacemaking ability and to correct conduction slowing in the heart by delivering excitatory ion channels or ion channel agonists. Using optogenetics as a tool to selectively interrogate only cells transduced to produce an exogenous excitatory ion current, we experimentally and computationally quantify the efficiency of such biological approaches in rescuing cardiac excitability as a function of the mode of application (viral gene delivery or cell delivery) and the geometry of the transduced region (focal or spatially-distributed). We demonstrate that for each configuration (delivery mode and spatial pattern), the optical energy needed to excite can be used to predict therapeutic efficiency of excitability restoration. Taken directly, these results can help guide optogenetic interventions for light-based control of cardiac excitation. More generally, our findings can help optimize gene therapy for restoration of cardiac excitability.
Source: Scientific Reports
DOI: 10.1038/srep17350
Institutions: Stony Brook University, Johns Hopkins University
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,690
Awards: UNS: All-Optical Interrogation System for Cardiac Dynamics, G1970544278, G2009083703, Virtual Electrophysiology Laboratory, Resynchronizing the Failing Heart: Insights from a Multiscale Cardiac Model, Cardiac Optogenetics: A Cell Delivery Approach, G5520316217, Redox Modification of the Arrhythmic Substrate in Heart Failure, G6996578372, G814569518, The Biochemistry and Cell Biology of Metabolic Diseases
OpenAlex ID: W2303032511
