Modeling Calcium Cycling in the Heart: Progress, Pitfalls, and Challenges

Zhilin Qu1,2, Dasen Yan3, Zhen Song3

  • 1Department of Medicine, David Geffen School of Medicine, University of California, A2-237 CHS, 650 Charles E. Young Drive South, Los Angeles, CA 90095, USA.

Biomolecules
|November 24, 2022
PubMed

Insights

This review explores cardiac calcium (Ca) cycling models, from single ryanodine receptors (RyRs) to tissue scales. It details current modeling approaches, their limitations, and future challenges in understanding heart function and arrhythmias.

Area of Science:

  • Cardiovascular Physiology
  • Computational Biology
  • Biophysics

Background:

  • Intracellular calcium (Ca) cycling is crucial for cardiac excitation-contraction coupling and arrhythmogenesis.
  • Cardiac myocytes feature calcium release units (CRUs) composed of ryanodine receptors (RyRs) that generate Ca sparks.
  • A complex CRU network exhibits diverse spatiotemporal Ca dynamics, including sparks, waves, and oscillations.

Purpose of the Study:

  • To review the progress in modeling cardiac Ca cycling dynamics across different scales.
  • To analyze the advantages and disadvantages of various modeling approaches.
  • To identify future challenges in modeling cardiac Ca cycling at the tissue level.

Main Methods:

  • Review of existing literature on cardiac Ca cycling models.
  • Analysis of models ranging from single RyRs to whole-tissue simulations.
  • Discussion of computational approaches and their limitations.

Main Results:

  • Models of varying temporal and spatial scales have been developed to study cardiac Ca dynamics.
  • Significant challenges exist in accurately modeling the CRU network and tissue-scale Ca cycling.
  • Current models offer insights but require further development for comprehensive understanding.

Conclusions:

  • Modeling cardiac Ca cycling is complex due to intricate CRU networks and spatiotemporal dynamics.
  • Further advancements are needed to bridge the gap between single-cell and tissue-level models.
  • Improved models are essential for a deeper understanding of cardiac function and disease.

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