Mathematical modelling of the train station of the heart: the atrio‐ventricular node DOI Creative Commons
Henggui Zhang, Sanjiv M. Narayan, Wayne R. Giles

et al.

The Journal of Physiology, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 17, 2024

Language: Английский

A possible path to persistent re-entry waves at the outlet of the left pulmonary vein DOI Creative Commons
Karoline Horgmo Jæger, Aslak Tveito

npj Systems Biology and Applications, Journal Year: 2024, Volume and Issue: 10(1)

Published: July 23, 2024

Abstract Atrial fibrillation (AF) is the most common form of cardiac arrhythmia, often evolving from paroxysmal episodes to persistent stages over an extended timeframe. While various factors contribute this progression, precise biophysical mechanisms driving it remain unclear. Here we explore how rapid firing cardiomyocytes at outlet pulmonary vein left atria can create a substrate for re-entry wave. This grounded in recently formulated mathematical model regulation calcium ion channel density by intracellular concentration. According model, number channels controlled In particular, if concentration increases above certain target level, current weakened restore level calcium. During pacing, leading substantial reduction across membrane myocytes, which again reduces action potential duration. spatially resolved cell-based atria, show that reduced duration lead re-entry. Initiated stemming AF lasting several days, critical factor. Our findings illustrate such foster conducive environment through electrical remodeling, characterized diminished currents. underscores importance promptly addressing early prevent their progression chronic stages.

Language: Английский

Citations

5

A Probabilistic Modeling Framework for the Prediction of Spontaneous Premature Beats and Reentry Initiation DOI
Richard A. Gray

Heart Rhythm, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0

Biophysical Modeling of Cardiac Cells: From Ion Channels to Tissue DOI Creative Commons
Sergio Alonso, Enrique Álvarez-Lacalle, J. Bragard

et al.

Biophysica, Journal Year: 2025, Volume and Issue: 5(1), P. 5 - 5

Published: Feb. 14, 2025

Cardiovascular diseases have become the leading cause of death in developed countries. Among these, some are related to disruptions electrical synchronization cardiac tissue arrhythmias such as atrial flutter, ventricular tachycardia, or fibrillation. Their origin is diverse and involves several spatial temporal scales, ranging from nanoscale ion channel dysfunctions tissue-level fibrosis ischemia. Mathematical models play a crucial role elucidating mechanisms underlying by simulating physiological properties across different scales. These investigate effects genetic mutations, pathological conditions, anti-arrhythmic interventions on heart dynamics. Despite their varying levels complexity, they proven be important understanding triggers arrhythmia, optimizing defibrillation protocols, exploring nonlinear dynamics electrophysiology. In this work, we present modeling approaches electrophysiology cells share examples our own research where these significantly contributed arrhythmias. Although computational faces challenges integrating data multiple it remains an indispensable tool for advancing knowledge biophysics improving therapeutic strategies.

Language: Английский

Citations

0

Determining properties of human‐induced pluripotent stem cell‐derived cardiomyocytes using spatially resolved electromechanical metrics DOI Creative Commons
Karoline Horgmo Jæger, Verena Charwat, Kevin E. Healy

et al.

The Journal of Physiology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 17, 2025

Abstract Human‐induced pluripotent stem cell‐derived cardiomyocytes (hiPSC‐CMs) are increasingly important in preclinical drug assessments, particularly for identifying potential cardiotoxicity. In this study, we utilize data from microphysiological systems of hiPSC‐CMs to evaluate cellular characteristics, such as action duration, beat rate, conduction velocity and mechanical displacement. Based on these data, high‐fidelity mathematical models facilitate precise assessments critical biophysical parameters the cells, including membrane ion channel conductances, cross‐bridge cycle transition rates cell‐to‐cell conductance. We emphasize distinction between synchronized transients travelling waves, highlighting their implications deducing properties hiPSC‐CMs. analyse effects compounds flecainide, quinidine, nifedipine, verapamil, blebbistatin omecamtiv. Our findings show that drug‐induced changes describing currents contractile machinery close ranges reported literature, computed biomarkers align well with measured biomarkers. This study is first apply spatially resolved, cell‐based identify through measurements transmembrane displacement, marking a significant step forward using computational evaluating safety offering new approach early identification adverse reactions. image Key points Optical human‐induced present opportunities advance understanding how human heart cells function interact. Although direct optical yield valuable biomarkers, they fall short revealing underlying properties, example, novel perturb channels. Drug best understood capture cell dynamics based physical laws. Traditionally, have been averaged over all collections, thus overlooking spatiotemporal waves. Here, use recently developed models, representing spatial electrical coupling, determine collections

Language: Английский

Citations

0

Research on noninvasive electrophysiologic imaging based on cardiac electrophysiology simulation and deep learning methods for the inverse problem DOI Creative Commons

Yi Chang,

Ming Dong, Lihong Fan

et al.

BMC Cardiovascular Disorders, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 28, 2025

Language: Английский

Citations

0

Parallel Algebraic Multigrid Solvers for Composite Discontinuous Galerkin Discretization of the Cardiac EMI Model in Heterogeneous Media DOI Creative Commons
Edoardo Centofanti, Ngoc Mai Monica Huynh, Luca F. Pavarino

et al.

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2025, Volume and Issue: 442, P. 118001 - 118001

Published: April 24, 2025

Language: Английский

Citations

0

Mathematical modelling of the train station of the heart: the atrio‐ventricular node DOI Creative Commons
Henggui Zhang, Sanjiv M. Narayan, Wayne R. Giles

et al.

The Journal of Physiology, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 17, 2024

Language: Английский

Citations

0