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Multiscale Modelling of β-Adrenergic Stimulation in Cardiac Electromechanical Function

Author

Listed:
  • Ruben Doste

    (Department of Computer Science, BHF Centre of Research Excellence, University of Oxford, Oxford OX1 3QD, UK)

  • Alfonso Bueno-Orovio

    (Department of Computer Science, BHF Centre of Research Excellence, University of Oxford, Oxford OX1 3QD, UK)

Abstract

β-adrenergic receptor stimulation (β-ARS) is a physiological mechanism that regulates cardiovascular function under stress conditions or physical exercise. Triggered during the so-called “fight-or-flight” response, the activation of the β-adrenergic receptors located on the cardiomyocyte membrane initiates a phosphorylation cascade of multiple ion channel targets that regulate both cellular excitability and recovery and of different proteins involved in intracellular calcium handling. As a result, β-ARS impacts both the electrophysiological and the mechanical response of the cardiomyocyte. β-ARS also plays a crucial role in several cardiac pathologies, greatly modifying cardiac output and potentially causing arrhythmogenic events. Mathematical patient-specific models are nowadays envisioned as an important tool for the personalised study of cardiac disease, the design of tailored treatments, or to inform risk assessment. Despite that, only a reduced number of computational studies of heart disease have incorporated β-ARS modelling. In this review, we describe the main existing multiscale frameworks to equip cellular models of cardiac electrophysiology with a β-ARS response. We also outline various applications of these multiscale frameworks in the study of cardiac pathology. We end with a discussion of the main current limitations and the future steps that need to be taken to adapt these models to a clinical environment and to incorporate them in organ-level simulations.

Suggested Citation

  • Ruben Doste & Alfonso Bueno-Orovio, 2021. "Multiscale Modelling of β-Adrenergic Stimulation in Cardiac Electromechanical Function," Mathematics, MDPI, vol. 9(15), pages 1-17, July.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:15:p:1785-:d:603203
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    References listed on IDEAS

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    1. Nicoletta C. Surdo & Marco Berrera & Andreas Koschinski & Marcella Brescia & Matias R. Machado & Carolyn Carr & Peter Wright & Julia Gorelik & Stefano Morotti & Eleonora Grandi & Donald M. Bers & Serg, 2017. "FRET biosensor uncovers cAMP nano-domains at β-adrenergic targets that dictate precise tuning of cardiac contractility," Nature Communications, Nature, vol. 8(1), pages 1-14, April.
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