Multiscale Modelling of ?-Adrenergic Stimulation in Cardiac Electromechanical Function

Ruben Doste and Alfonso Bueno-Orovio
Additional contact information
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

Mathematics, 2021, vol. 9, issue 15, 1-17

Abstract: ?-adrenergic receptor stimulation (?-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 ?-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, ?-ARS impacts both the electrophysiological and the mechanical response of the cardiomyocyte. ?-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 ?-ARS modelling. In this review, we describe the main existing multiscale frameworks to equip cellular models of cardiac electrophysiology with a ?-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.

Keywords: ?-adrenergic receptor stimulation; mathematical modelling; cardiac electrophysiology (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/9/15/1785/pdf (application/pdf)
https://www.mdpi.com/2227-7390/9/15/1785/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:9:y:2021:i:15:p:1785-:d:603203

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().