ArticleFrontiers in physiology2018
Computational Model of Calcium Signaling in Cardiac Atrial Cells at the Submicron Scale.
Article in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 19 citations in OpenAlex.
- Multiscale stochastic modeling for calcium dynamics in cardiac electrophysiology: assessing whole-cell model reliability under phosphorylation and LCC downregulation.Frontiers in network physiology · 2026Article
- Mechanisms of spontaneous CaThe Journal of physiology · 2023Article
- Spatial Distribution of Calcium Sparks Determines Their Ability to Induce Afterdepolarizations in Human Atrial Myocytes.JACC. Basic to translational science · 2023Article
- Modeling Calcium Cycling in the Heart: Progress, Pitfalls, and Challenges.Biomolecules · 2022Review
- An ensemble of parameters from a robust Markov-based model reproduces L-type calcium currents from different human cardiac myocytes.PloS one · 2022Article
- Multi-Scale Computational Modeling of Spatial Calcium Handling From Nanodomain to Whole-Heart: Overview and Perspectives.Frontiers in physiology · 2022Review
- Nanoscale molecular architecture controls calcium diffusion and ER replenishment in dendritic spines.Science advances · 2021Article
- Buffering and total calcium levels determine the presence of oscillatory regimes in cardiac cells.PLoS computational biology · 2020Article
- Afterdepolarizations and abnormal calcium handling in atrial myocytes with modulated SERCA uptake: a sensitivity analysis of calcium handling channels.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020Article
- Influence of the tubular network on the characteristics of calcium transients in cardiac myocytes.PloS one · 2020Article
- A Novel Computational Model of the Rabbit Atrial Cardiomyocyte With Spatial Calcium Dynamics.Frontiers in physiology · 2020Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In cardiac cells, calcium is the mediator of excitation-contraction coupling. Dysfunctions in calcium handling have been identified as the origin of some cardiac arrhythmias. In the particular case of atrial myocytes, recent available experimental data has found links between these dysfunctions and structural changes in the calcium handling machinery (ryanodine cluster size and distribution, t-tubular network, etc). To address this issue, we have developed a computational model of an atrial myocyte that takes into account the detailed intracellular structure. The homogenized macroscopic behavior is described with a two-concentration field model, using effective diffusion coefficients of calcium in the sarcoplasmic reticulum (SR) and in the cytoplasm. The model reproduces the right calcium transients and dependence with pacing frequency. Under basal conditions, the calcium rise is mostly restricted to the periphery of the cell, with a large concentration ratio between the periphery and the interior. We have then studied the dependence of the speed of the calcium wave on cytosolic and SR diffusion coefficients, finding an almost linear relation with the former, in agreement with a diffusive and fire mechanism of propagation, and little dependence on the latter. Finally, we have studied the effect of a change in RyR cluster microstructure. We find that, under resting conditions, the spark frequency decreases slightly with RyR cluster spatial dispersion, but markedly increases when the RyRs are distributed in clusters of larger size, stressing the importance of RyR cluster organization to understand atrial arrhythmias, as recent experimental results suggest (Macquaide et al., 2015).
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