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      Mechanisms of ventricular arrhythmias elicited by coexistence of multiple electrophysiological remodeling in ischemia: A simulation study

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          Abstract

          Myocardial ischemia, injury and infarction (MI) are the three stages of acute coronary syndrome (ACS). In the past two decades, a great number of studies focused on myocardial ischemia and MI individually, and showed that the occurrence of reentrant arrhythmias is often associated with myocardial ischemia or MI. However, arrhythmogenic mechanisms in the tissue with various degrees of remodeling in the ischemic heart have not been fully understood. In this study, biophysical detailed single-cell models of ischemia 1a, 1b, and MI were developed to mimic the electrophysiological remodeling at different stages of ACS. 2D tissue models with different distributions of ischemia and MI areas were constructed to investigate the mechanisms of the initiation of reentrant waves during the progression of ischemia. Simulation results in 2D tissues showed that the vulnerable windows (VWs) in simultaneous presence of multiple ischemic conditions were associated with the dynamics of wave propagation in the tissues with each single pathological condition. In the tissue with multiple pathological conditions, reentrant waves were mainly induced by two different mechanisms: one is the heterogeneity along the excitation wavefront, especially the abrupt variation in conduction velocity (CV) across the border of ischemia 1b and MI, and the other is the decreased safe factor (SF) for conduction at the edge of the tissue in MI region which is attributed to the increased excitation threshold of MI region. Finally, the reentrant wave was observed in a 3D model with a scar reconstructed from MRI images of a MI patient. These comprehensive findings provide novel insights for understanding the arrhythmic risk during the progression of myocardial ischemia and highlight the importance of the multiple pathological stages in designing medical therapies for arrhythmias in ischemia.

          Author summary

          Abnormal initiation or conduction of electrical impulses may lead to cardiac arrhythmias, which are very important cause of sudden and early death in developed countries. In many cases, cardiac arrhythmias are accompanied by ventricular fibrillation sustained by re-entry. The occurrence of reentrant arrhythmias is often associated with acute coronary syndrome, including three phases of myocardial ischemia 1a, 1b, and infarction. Previous studies have made lots of efforts to unravel the mechanisms of the initiation and maintenance of reentry waves during myocardial ischemia or infarction. However, the mechanisms of the initiation of reentrant waves in the tissue with multiple ischemic remodeling are not fully understood. Multi-scale computational models at the cell, tissue, and organ levels were developed in this study. The main finding in this study is that reentrant waves in the simultaneous presence of multiple ischemic conditions were mainly induced by the spatial heterogeneity of refractory periods caused by the co-action of action potential duration (APD) and CV along the wavefront, when the borders of different pathological conditions were perpendicular to the wavefront of the excitation wave. In addition, the increased excitation threshold of MI region as well as the impaired excitability of ischemia region can induce the generation of reentry, when the borders were parallel to the excitation wavefront. This provides insights into mechanisms of ventricular arrhythmias elicited by coexistence of multiple electrophysiological remodeling in ischemia.

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          Alternans and spiral breakup in a human ventricular tissue model.

          Ventricular fibrillation (VF) is one of the main causes of death in the Western world. According to one hypothesis, the chaotic excitation dynamics during VF are the result of dynamical instabilities in action potential duration (APD) the occurrence of which requires that the slope of the APD restitution curve exceeds 1. Other factors such as electrotonic coupling and cardiac memory also determine whether these instabilities can develop. In this paper we study the conditions for alternans and spiral breakup in human cardiac tissue. Therefore, we develop a new version of our human ventricular cell model, which is based on recent experimental measurements of human APD restitution and includes a more extensive description of intracellular calcium dynamics. We apply this model to study the conditions for electrical instability in single cells, for reentrant waves in a ring of cells, and for reentry in two-dimensional sheets of ventricular tissue. We show that an important determinant for the onset of instability is the recovery dynamics of the fast sodium current. Slower sodium current recovery leads to longer periods of spiral wave rotation and more gradual conduction velocity restitution, both of which suppress restitution-mediated instability. As a result, maximum restitution slopes considerably exceeding 1 (up to 1.5) may be necessary for electrical instability to occur. Although slopes necessary for the onset of instabilities found in our study exceed 1, they are within the range of experimentally measured slopes. Therefore, we conclude that steep APD restitution-mediated instability is a potential mechanism for VF in the human heart.
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            A model for human ventricular tissue.

            The experimental and clinical possibilities for studying cardiac arrhythmias in human ventricular myocardium are very limited. Therefore, the use of alternative methods such as computer simulations is of great importance. In this article we introduce a mathematical model of the action potential of human ventricular cells that, while including a high level of electrophysiological detail, is computationally cost-effective enough to be applied in large-scale spatial simulations for the study of reentrant arrhythmias. The model is based on recent experimental data on most of the major ionic currents: the fast sodium, L-type calcium, transient outward, rapid and slow delayed rectifier, and inward rectifier currents. The model includes a basic calcium dynamics, allowing for the realistic modeling of calcium transients, calcium current inactivation, and the contraction staircase. We are able to reproduce human epicardial, endocardial, and M cell action potentials and show that differences can be explained by differences in the transient outward and slow delayed rectifier currents. Our model reproduces the experimentally observed data on action potential duration restitution, which is an important characteristic for reentrant arrhythmias. The conduction velocity restitution of our model is broader than in other models and agrees better with available data. Finally, we model the dynamics of spiral wave rotation in a two-dimensional sheet of human ventricular tissue and show that the spiral wave follows a complex meandering pattern and has a period of 265 ms. We conclude that the proposed model reproduces a variety of electrophysiological behaviors and provides a basis for studies of reentrant arrhythmias in human ventricular tissue.
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              Ischemic ventricular arrhythmias: experimental models and their clinical relevance.

              In the United States, sudden cardiac death accounts for an estimated 300,000 to 350,000 cases each year, with 80,000 presenting as the first manifestation of a preexisting, sometimes unrecognized, coronary artery disease. Acute myocardial infarction (AMI)-induced ventricular fibrillation frequently occurs without warning, often leading to death within minutes in patients who do not receive prompt medical attention. Identification of patients at risk for AMI-induced lethal ventricular arrhythmias remains an unmet medical need. Recent studies suggest that a genetic predisposition may significantly contribute to the vulnerability of the ischemic myocardium to ventricular tachycardia/ventricular fibrillation. Numerous experimental models have been developed for the purpose of advancing our understanding of the mechanisms responsible for the development of cardiac arrhythmias in the setting of ischemia and with the aim of identifying antiarrhythmic therapies that could be of clinical benefit. While our understanding of the mechanisms underlying AMI-induced ventricular arrhythmias is coming into better focus, the risk stratification of patients with AMI remains a major challenge. This review briefly discusses our current state of knowledge regarding the mechanisms of ischemic ventricular arrhythmias and their temporal distribution as revealed by available experimental models, how these correlate with the clinical syndromes, as well as prospective prophylactic therapies for the prevention and treatment of ischemia-induced life-threatening arrhythmias.
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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: Writing – original draft
                Role: Formal analysisRole: Funding acquisitionRole: InvestigationRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: Funding acquisitionRole: Writing – review & editing
                Role: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Comput Biol
                PLoS Comput Biol
                plos
                PLoS Computational Biology
                Public Library of Science (San Francisco, CA USA )
                1553-734X
                1553-7358
                27 April 2022
                April 2022
                : 18
                : 4
                : e1009388
                Affiliations
                [1 ] School of Computer Science and Technology, Harbin Institute of Technology (HIT), Harbin, China
                [2 ] Peng Cheng Laboratory, Shenzhen, China
                [3 ] Wuhan Union Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
                [4 ] School of Physics and Astronomy, The University of Manchester, Manchester, United Kingdom
                [5 ] Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, China
                University of California San Diego, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-8002-7136
                https://orcid.org/0000-0003-1347-3491
                https://orcid.org/0000-0002-1874-9947
                https://orcid.org/0000-0002-0863-5807
                Article
                PCOMPBIOL-D-21-01434
                10.1371/journal.pcbi.1009388
                9045648
                35476614
                743fb951-bcfc-4129-aa84-806e8cbeac9c
                © 2022 Liang et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 3 August 2021
                : 18 February 2022
                Page count
                Figures: 10, Tables: 0, Pages: 24
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, national natural science foundation of china;
                Award ID: 62001141
                Award Recipient :
                Funded by: National Natural Science Foundation of Chin
                Award ID: 62133009
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, national natural science foundation of china;
                Award ID: 81770328
                Award Recipient :
                Funded by: Science and Technology Innovation Committee of Shenzhen Municipality
                Award ID: JCYJ20210324131800002
                Award Recipient :
                The work was supported by the National Natural Science Foundation of China under Grant Nos. 62001141 (to WW), 62133009 (to QL) and 81770328 (to YD), and the Science and Technology Innovation Committee of Shenzhen Municipality under grant no.JCYJ20210324131800002 (to WW). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Vascular Medicine
                Ischemia
                Physical Sciences
                Physics
                Waves
                Wave Propagation
                Medicine and Health Sciences
                Cardiology
                Myocardial Infarction
                Biology and Life Sciences
                Biochemistry
                Tissue Distribution
                Medicine and Health Sciences
                Pharmacology
                Pharmacokinetics
                Tissue Distribution
                Biology and Life Sciences
                Physiology
                Electrophysiology
                Medicine and Health Sciences
                Cardiology
                Arrhythmia
                Biology and Life Sciences
                Physiology
                Electrophysiology
                Electrophysiological Properties
                Biology and Life Sciences
                Physiology
                Electrophysiology
                Membrane Potential
                Action Potentials
                Biology and Life Sciences
                Physiology
                Electrophysiology
                Neurophysiology
                Action Potentials
                Biology and Life Sciences
                Neuroscience
                Neurophysiology
                Action Potentials
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files. We’ve uploaded the code to GitHub, with the following link: https://github.com/kodakfu/HeartNext/tree/main.

                Quantitative & Systems biology
                Quantitative & Systems biology

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