Ambrosi Christina M, Boyle Patrick M, Chen Kay, Trayanova Natalia A, Entcheva Emilia
Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY.
Institute for Computational Medicine and Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD.
Sci Rep. 2015 Dec 1;5:17350. doi: 10.1038/srep17350.
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.
多种心脏疾病伴随着组织兴奋性丧失,这会导致一系列心律失常。除了电子设备治疗(即可植入起搏器和心脏复律除颤器)外,最近还探索了生物方法,通过递送兴奋性离子通道或离子通道激动剂来恢复心脏的起搏能力并纠正传导减慢。利用光遗传学作为一种仅选择性询问转导以产生外源性兴奋性离子电流的细胞的工具,我们通过实验和计算量化了这种生物方法在挽救心脏兴奋性方面的效率,该效率是应用模式(病毒基因递送或细胞递送)和转导区域几何形状(局灶性或空间分布)的函数。我们证明,对于每种配置(递送模式和空间模式),激发所需的光能可用于预测兴奋性恢复的治疗效率。直接而言,这些结果有助于指导基于光的心脏兴奋控制的光遗传学干预。更普遍地说,我们的发现有助于优化用于恢复心脏兴奋性的基因治疗。