Perspective: a dynamics-based classification of ventricular arrhythmias

dc.contributor.authorWeiss, James N.
dc.contributor.authorGarfinkel, Alan
dc.contributor.authorKaragueuzian, Hrayr S.
dc.contributor.authorNguyen, Thao P.
dc.contributor.authorOlcese, Riccardo
dc.contributor.authorChen, Peng-Sheng
dc.contributor.authorQu, Zhilin
dc.contributor.departmentDepartment of Medicine, IU School of Medicineen_US
dc.date.accessioned2017-07-10T20:12:26Z
dc.date.available2017-07-10T20:12:26Z
dc.date.issued2015-05
dc.description.abstractDespite key advances in the clinical management of life-threatening ventricular arrhythmias, culminating with the development of implantable cardioverter-defibrillators and catheter ablation techniques, pharmacologic/biologic therapeutics have lagged behind. The fundamental issue is that biological targets are molecular factors. Diseases, however, represent emergent properties at the scale of the organism that result from dynamic interactions between multiple constantly changing molecular factors. For a pharmacologic/biologic therapy to be effective, it must target the dynamic processes that underlie the disease. Here we propose a classification of ventricular arrhythmias that is based on our current understanding of the dynamics occurring at the subcellular, cellular, tissue and organism scales, which cause arrhythmias by simultaneously generating arrhythmia triggers and exacerbating tissue vulnerability. The goal is to create a framework that systematically links these key dynamic factors together with fixed factors (structural and electrophysiological heterogeneity) synergistically promoting electrical dispersion and increased arrhythmia risk to molecular factors that can serve as biological targets. We classify ventricular arrhythmias into three primary dynamic categories related generally to unstable Ca cycling, reduced repolarization, and excess repolarization, respectively. The clinical syndromes, arrhythmia mechanisms, dynamic factors and what is known about their molecular counterparts are discussed. Based on this framework, we propose a computational-experimental strategy for exploring the links between molecular factors, fixed factors and dynamic factors that underlie life-threatening ventricular arrhythmias. The ultimate objective is to facilitate drug development by creating an in silico platform to evaluate and predict comprehensively how molecular interventions affect not only a single targeted arrhythmia, but all primary arrhythmia dynamics categories as well as normal cardiac excitation-contraction coupling.en_US
dc.eprint.versionAuthor's manuscripten_US
dc.identifier.citationWeiss, J. N., Garfinkel, A., Karagueuzian, H. S., Nguyen, T. P., Olcese, R., Chen, P.-S., & Qu, Z. (2015). Perspective: A Dynamics-Based Classification of Ventricular Arrhythmias. Journal of Molecular and Cellular Cardiology, 82, 136–152. http://doi.org/10.1016/j.yjmcc.2015.02.017en_US
dc.identifier.urihttps://hdl.handle.net/1805/13381
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.relation.isversionof10.1016/j.yjmcc.2015.02.017en_US
dc.relation.journalJournal of Molecular and Cellular Cardiologyen_US
dc.rightsPublisher Policyen_US
dc.sourcePMCen_US
dc.subjectNonlinear dynamicsen_US
dc.subjectFibrillationen_US
dc.subjectReentryen_US
dc.subjectRepolarization reserveen_US
dc.subjectCa signalingen_US
dc.subjectSudden cardiac deathen_US
dc.subjectCardiac electrophysiologyen_US
dc.titlePerspective: a dynamics-based classification of ventricular arrhythmiasen_US
dc.typeArticleen_US
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