Clinical phenotypes in acute and chronic infarction explained through human ventricular electromechanical modelling and simulations

Author:

Zhou Xin1ORCID,Wang Zhinuo Jenny1ORCID,Camps Julia1ORCID,Tomek Jakub2ORCID,Santiago Alfonso34ORCID,Quintanas Adria3ORCID,Vazquez Mariano34ORCID,Vaseghi Marmar56ORCID,Rodriguez Blanca1ORCID

Affiliation:

1. Department of Computer Science, University of Oxford

2. Department of Physiology, Anatomy and Genetics, University of Oxford

3. Department of Computer Applications in Science and Engineering, Barcelona Supercomputing Centre (BSC)

4. ELEM Biotech

5. UCLA Cardiac Arrhythmia Center, University of California

6. Neurocardiology Research Center of Excellence, University of California

Abstract

Sudden death after myocardial infarction (MI) is associated with electrophysiological heterogeneities and ionic remodelling, which are reflected as variable phenotypes. Low ejection fraction (EF) is used in risk stratification, but its mechanistic links with the post-MI pro-arrhythmic heterogeneities are unknown. We aim to provide a mechanistic explanation of clinical phenotypes in acute and chronic MI, from ionic remodeling to ECG and EF, using human electromechanical modelling and simulation to augment experimental and clinical investigations.A human ventricular electromechanical modelling and simulation framework is constructed and validated with rich experimental and clinical datasets. Abnormalities caused by scar and border zone ionic remodeling are introduced in varying degrees as reported in experimental data obtained in acute and chronic infarction. Simulations enabled reproducing and explaining clinical phenotypes post-MI, from ionic remodelling to ECGs and pressure-volume loops. In acute MI, T-wave inversion and Brugada phenocopy were explained by up to 57 ms of local APD prolongation and activation failure due to the inhibition of potassium, sodium and calcium channels in the border zone. In chronic MI, upright tall T-waves highlight large repolarisation dispersion caused by uneven potassium channel expression in border and remote zones, which promoted ectopic propagation at fast pacing. Post-MI ionic remodelling reduced EF by up to 10% through inhibition of calcium transient amplitude due to weaker calcium currents or SERCA activity, but the EF at resting heart rate was not sensitive to the extent of repolarisation heterogeneity and the risk of repolarisation abnormalities at fast pacing.Multi-scale modelling and simulation coherently integrates experimental and clinical data at subcellular, tissue, and organ scales to unravel electromechanical disease mechanisms in MI. In acute post-MI, ionic remodelling and its effect on refractoriness and propagation failure in the BZ have a strong impact on phenotypic ECG variability, whereas in chronic post-MI, the repolarisation dispersion across the BZ is crucial. T-wave and QT abnormalities are better indicators of repolarisation heterogeneities than EF in post-MI.

Publisher

eLife Sciences Publications, Ltd

Reference58 articles.

1. Diminished Ca2+ and Ba2+ Currents in Myocytes Surviving in the Epicardial Border Zone of the 5-Day Infarcted Canine Heart;Circulation Research,1995

2. QT interval prolongation in acute myocardial infarction;Eur Heart J,1985

3. 2017 AHA/ACC/HRS Guideline for Management of Patients With Ventricular Arrhythmias and the Prevention of Sudden Cardiac Death: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Rhythm Society;Circulation,2018

4. CaMKII in myocardial hypertrophy and heart failure;J Mol Cell Cardiol,2011

5. Brugada phenocopy: A new electrocardiogram phenomenon;World J Cardiol,2014

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