Arrhythmogenic influence of mutations in a myocyte-based computational model of the pulmonary vein sleeve

Abstract In the heart, electrophysiological dysregulation arises from defects at many biological levels (from point mutations in ion channel proteins to gross structural abnormalities). These defects disrupt the normal pattern of electrical activation, producing ectopic activity and reentrant arrhyt...

Full description

Bibliographic Details
Main Authors: Karoline Horgmo Jæger, Andrew G. Edwards, Wayne R. Giles, Aslak Tveito
Format: Article
Language:English
Published: Nature Portfolio 2022-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-11110-1
_version_ 1818263847416365056
author Karoline Horgmo Jæger
Andrew G. Edwards
Wayne R. Giles
Aslak Tveito
author_facet Karoline Horgmo Jæger
Andrew G. Edwards
Wayne R. Giles
Aslak Tveito
author_sort Karoline Horgmo Jæger
collection DOAJ
description Abstract In the heart, electrophysiological dysregulation arises from defects at many biological levels (from point mutations in ion channel proteins to gross structural abnormalities). These defects disrupt the normal pattern of electrical activation, producing ectopic activity and reentrant arrhythmia. To interrogate mechanisms that link these primary biological defects to macroscopic electrophysiologic dysregulation most prior computational studies have utilized either (i) detailed models of myocyte ion channel dynamics at limited spatial scales, or (ii) homogenized models of action potential conduction that reproduce arrhythmic activity at tissue and organ levels. Here we apply our recent model (EMI), which integrates electrical activation and propagation across these scales, to study human atrial arrhythmias originating in the pulmonary vein (PV) sleeves. These small structures initiate most supraventricular arrhythmias and include pronounced myocyte-to-myocyte heterogeneities in ion channel expression and intercellular coupling. To test EMI’s cell-based architecture in this physiological context we asked whether ion channel mutations known to underlie atrial fibrillation are capable of initiating arrhythmogenic behavior via increased excitability or reentry in a schematic PV sleeve geometry. Our results illustrate that EMI’s improved spatial resolution can directly interrogate how electrophysiological changes at the individual myocyte level manifest in tissue and as arrhythmia in the PV sleeve.
first_indexed 2024-12-12T19:25:31Z
format Article
id doaj.art-b8676228161f4e678ffb91bee85f052b
institution Directory Open Access Journal
issn 2045-2322
language English
last_indexed 2024-12-12T19:25:31Z
publishDate 2022-04-01
publisher Nature Portfolio
record_format Article
series Scientific Reports
spelling doaj.art-b8676228161f4e678ffb91bee85f052b2022-12-22T00:14:31ZengNature PortfolioScientific Reports2045-23222022-04-0112111810.1038/s41598-022-11110-1Arrhythmogenic influence of mutations in a myocyte-based computational model of the pulmonary vein sleeveKaroline Horgmo Jæger0Andrew G. Edwards1Wayne R. Giles2Aslak Tveito3Simula Research LaboratorySimula Research LaboratorySimula Research LaboratorySimula Research LaboratoryAbstract In the heart, electrophysiological dysregulation arises from defects at many biological levels (from point mutations in ion channel proteins to gross structural abnormalities). These defects disrupt the normal pattern of electrical activation, producing ectopic activity and reentrant arrhythmia. To interrogate mechanisms that link these primary biological defects to macroscopic electrophysiologic dysregulation most prior computational studies have utilized either (i) detailed models of myocyte ion channel dynamics at limited spatial scales, or (ii) homogenized models of action potential conduction that reproduce arrhythmic activity at tissue and organ levels. Here we apply our recent model (EMI), which integrates electrical activation and propagation across these scales, to study human atrial arrhythmias originating in the pulmonary vein (PV) sleeves. These small structures initiate most supraventricular arrhythmias and include pronounced myocyte-to-myocyte heterogeneities in ion channel expression and intercellular coupling. To test EMI’s cell-based architecture in this physiological context we asked whether ion channel mutations known to underlie atrial fibrillation are capable of initiating arrhythmogenic behavior via increased excitability or reentry in a schematic PV sleeve geometry. Our results illustrate that EMI’s improved spatial resolution can directly interrogate how electrophysiological changes at the individual myocyte level manifest in tissue and as arrhythmia in the PV sleeve.https://doi.org/10.1038/s41598-022-11110-1
spellingShingle Karoline Horgmo Jæger
Andrew G. Edwards
Wayne R. Giles
Aslak Tveito
Arrhythmogenic influence of mutations in a myocyte-based computational model of the pulmonary vein sleeve
Scientific Reports
title Arrhythmogenic influence of mutations in a myocyte-based computational model of the pulmonary vein sleeve
title_full Arrhythmogenic influence of mutations in a myocyte-based computational model of the pulmonary vein sleeve
title_fullStr Arrhythmogenic influence of mutations in a myocyte-based computational model of the pulmonary vein sleeve
title_full_unstemmed Arrhythmogenic influence of mutations in a myocyte-based computational model of the pulmonary vein sleeve
title_short Arrhythmogenic influence of mutations in a myocyte-based computational model of the pulmonary vein sleeve
title_sort arrhythmogenic influence of mutations in a myocyte based computational model of the pulmonary vein sleeve
url https://doi.org/10.1038/s41598-022-11110-1
work_keys_str_mv AT karolinehorgmojæger arrhythmogenicinfluenceofmutationsinamyocytebasedcomputationalmodelofthepulmonaryveinsleeve
AT andrewgedwards arrhythmogenicinfluenceofmutationsinamyocytebasedcomputationalmodelofthepulmonaryveinsleeve
AT waynergiles arrhythmogenicinfluenceofmutationsinamyocytebasedcomputationalmodelofthepulmonaryveinsleeve
AT aslaktveito arrhythmogenicinfluenceofmutationsinamyocytebasedcomputationalmodelofthepulmonaryveinsleeve