Computational modelling of mouse atrio ventricular node action potential and automaticity.

action potential atrio‐ventricular node cardiac electrophysiology cardiomyocyte computer simulation ion channels mouse pacemaker activity

Journal

The Journal of physiology
ISSN: 1469-7793
Titre abrégé: J Physiol
Pays: England
ID NLM: 0266262

Informations de publication

Date de publication:
13 Sep 2024
Historique:
received: 10 11 2023
accepted: 08 08 2024
medline: 13 9 2024
pubmed: 13 9 2024
entrez: 13 9 2024
Statut: aheadofprint

Résumé

The atrioventricular node (AVN) is a crucial component of the cardiac conduction system. Despite its pivotal role in regulating the transmission of electrical signals between atria and ventricles, a comprehensive understanding of the cellular electrophysiological mechanisms governing AVN function has remained elusive. This paper presents a detailed computational model of mouse AVN cell action potential (AP). Our model builds upon previous work and introduces several key refinements, including accurate representation of membrane currents and exchangers, calcium handling, cellular compartmentalization, dynamic update of intracellular ion concentrations, and calcium buffering. We recalibrated and validated the model against existing and unpublished experimental data. In control conditions, our model reproduces the AVN AP experimental features, (e.g. rate = 175 bpm, experimental range [121, 191] bpm). Notably, our study sheds light on the contribution of L-type calcium currents, through both Ca

Identifiants

pubmed: 39269369
doi: 10.1113/JP285950
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : European Union - NextGenerationEU through the Italian Ministry of University and Research
ID : PR_00000019
Organisme : European Union - NextGenerationEU through the Italian Ministry of University and Research
ID : J33C220029200
Organisme : Fondation Leducq
ID : TNE FANTASY 19CV03

Informations de copyright

© 2024 The Author(s). The Journal of Physiology published by John Wiley & Sons Ltd on behalf of The Physiological Society.

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Auteurs

Chiara Bartolucci (C)

Computational Physiopathology Unit, Department of Electrical, Electronic and Information Engineering 'Guglielmo Marconi,', University of Bologna, Cesena, Italy.

Pietro Mesirca (P)

Institut de Génomique Fonctionnelle, Université de Montpellier, CNRS, INSERM, Montpellier, France.
LabEx Ion Channels Science and Therapeutics (ICST), Montpellier, France.

Eugenio Ricci (E)

Computational Physiopathology Unit, Department of Electrical, Electronic and Information Engineering 'Guglielmo Marconi,', University of Bologna, Cesena, Italy.

Clara Sales-Bellés (C)

BSICoS group, I3A Institute, University of Zaragoza, IIS Aragón, Zaragoza, Spain.

Eleonora Torre (E)

Institut de Génomique Fonctionnelle, Université de Montpellier, CNRS, INSERM, Montpellier, France.
LabEx Ion Channels Science and Therapeutics (ICST), Montpellier, France.

Julien Louradour (J)

Institut de Génomique Fonctionnelle, Université de Montpellier, CNRS, INSERM, Montpellier, France.
LabEx Ion Channels Science and Therapeutics (ICST), Montpellier, France.

Matteo Elia Mangoni (ME)

Institut de Génomique Fonctionnelle, Université de Montpellier, CNRS, INSERM, Montpellier, France.
LabEx Ion Channels Science and Therapeutics (ICST), Montpellier, France.

Stefano Severi (S)

Computational Physiopathology Unit, Department of Electrical, Electronic and Information Engineering 'Guglielmo Marconi,', University of Bologna, Cesena, Italy.

Classifications MeSH