Evidence map›Paper›PMID 35370783›Full record

ReviewFrontiers in physiology2022

Multi-Scale Computational Modeling of Spatial Calcium Handling From Nanodomain to Whole-Heart: Overview and Perspectives.

Michael A Colman, Enrique Alvarez-Lacalle, Blas Echebarria, Daisuke Sato, Henry Sutanto, Jordi Heijman

Abstract readReview
In one paragraph

Review in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Review
  2. Article
  3. Stretchable large-area transparent nanowire composite arrays for label-free multimodal interrogation of cardiac physiology.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Enhanced CaJACC. Clinical electrophysiology · 2024
    Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Michael A ColmanSchool of Biomedical Sciences, University of Leeds, Leeds, United Kingdom.
Enrique Alvarez-LacalleDepartament de Fisica, Universitat Politècnica de Catalunya-BarcelonaTech, Barcelona, Spain.
Blas EchebarriaDepartament de Fisica, Universitat Politècnica de Catalunya-BarcelonaTech, Barcelona, Spain.
Daisuke SatoDepartment of Pharmacology, School of Medicine, University of California, Davis, Davis, CA, United States.
Henry SutantoDepartment of Physiology and Pharmacology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States.
Jordi HeijmanDepartment of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, Netherlands.

Funding

Project 3 (Mercola)P01HL141084 · NHLBI · STANFORD UNIVERSITY · PI Joseph C. Wu · 2019 to 2026
$21.1M
Modelling structural and functional heterogeneity in heart failure reveals arrhythmic impactR01HL149349 · NHLBI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERS, DONALD M, SATO, DAISUKE · 2019 to 2022
$1.6M
Medical Research Council MR/M014967/1NHLBI NIH HHS P01 HL141084NHLBI NIH HHS R01 HL149349
6 · The paper itself

Abstract

Regulation of intracellular calcium is a critical component of cardiac electrophysiology and excitation-contraction coupling. The calcium spark, the fundamental element of the intracellular calcium transient, is initiated in specialized nanodomains which co-locate the ryanodine receptors and L-type calcium channels. However, calcium homeostasis is ultimately regulated at the cellular scale, by the interaction of spatially separated but diffusively coupled nanodomains with other sub-cellular and surface-membrane calcium transport channels with strong non-linear interactions; and cardiac electrophysiology and arrhythmia mechanisms are ultimately tissue-scale phenomena, regulated by the interaction of a heterogeneous population of coupled myocytes. Recent advances in imaging modalities and image-analysis are enabling the super-resolution reconstruction of the structures responsible for regulating calcium homeostasis, including the internal structure of nanodomains themselves. Extrapolating functional and imaging data from the nanodomain to the whole-heart is non-trivial, yet essential for translational insight into disease mechanisms. Computational modeling has important roles to play in relating structural and functional data at the sub-cellular scale and translating data across the scales. This review covers recent methodological advances that enable image-based modeling of the single nanodomain and whole cardiomyocyte, as well as the development of multi-scale simulation approaches to integrate data from nanometer to whole-heart. Firstly, methods to overcome the computational challenges of simulating spatial calcium dynamics in the nanodomain are discussed, including image-based modeling at this scale. Then, recent whole-cell models, capable of capturing a range of different structures (such as the T-system and mitochondria) and cellular heterogeneity/variability are discussed at two different levels of discretization. Novel methods to integrate the models and data across the scales and simulate stochastic dynamics in tissue-scale models are then discussed, enabling elucidation of the mechanisms by which nanodomain remodeling underlies arrhythmia and contractile dysfunction. Perspectives on model differences and future directions are provided throughout.

Indexed as

calcium handling in cardiomyocytescardiac electrophysiologycomputational modeling methodsexcitation-contraction couplingmulti-scale model

Identifiers

PMID35370783
PMCPMC8964409

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.