Assessing the arrhythmogenic risk of engineered heart tissue patches through in silico application on infarcted ventricle models
Damiano Fassina
1, 2
,
Caroline Costa
2
,
Martin Bishop
2
,
G. Plank
3
,
John Whitaker
4
,
Sian E. Harding
1
,
Steven A. Niederer
2
Publication type: Journal Article
Publication date: 2023-03-01
scimago Q1
wos Q1
SJR: 1.447
CiteScore: 13.0
Impact factor: 6.3
ISSN: 00104825, 18790534
PubMed ID:
36701966
Computer Science Applications
Health Informatics
Abstract
Post myocardial infarction (MI) ventricles contain fibrotic tissue and may have disrupted electrical properties, both of which predispose to an increased risk of life-threatening arrhythmias. Application of epicardial patches obtained from human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) are a potential long-term therapy to treat heart failure resulting from post MI remodelling. However, whether the introduction of these patches is anti- or pro-arrhythmic has not been studied. We studied arrhythmic risk using in silico engineered heart tissue (EHT) patch engraftment on human post-MI ventricular models. Two patient models were studied, including one with a large dense scar and one with an apparent channel of preserved viability bordered on both sides by scar. In each heart model a virtual EHT patch was introduced as a layer of viable tissue overlying the scarred area, with hiPSC-CMs electrophysiological properties. The incidence of re-entrant and sustained activation in simulations with and without EHT patches was assessed and the arrhythmia inducibility compared in the context of different EHT patch properties (conduction velocity (CV) and action potential duration (APD)). The impact of the EHT patch on the likelihood of focal ectopic impulse propagation was estimated by assessing the minimum stimulus strength and duration required to generate a propagating impulse in the scar border zone (BZ) with and without patch. We uncovered two main mechanisms by which ventricular tachycardia (VT) risk could be either augmented or attenuated by the interaction of the patch with the tissue. In the case of isthmus-related VT, our simulations predict that EHT patches can prevent the induction of VT when the, generally longer, hiPSC-CMs APD is reduced towards more physiological values. In the case of large dense scar, we found that, an EHT patch with CV similar to the host myocardium does not promote VT, while EHT patches with lower CV increase the risk of VT, by promoting both non-sustained and sustained re-entry. Finally, our simulations indicate that electrically coupled EHT patches reduce the likelihood of propagation of focal ectopic impulses. The introduction of EHT patches as a treatment for heart failure has the potential to augment or attenuate the risk of ventricular arrhythmias, and variations in the anatomic configuration of the substrate, the functional properties of the BZ and the electrophysiologic properties of the patch itself will determine the overall impact. Planning for delivery of this therapy will need to consider the possible impact on arrhythmia.
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Metrics
13
Total citations:
13
Citations from 2024:
10
(76.92%)
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GOST
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Fassina D. et al. Assessing the arrhythmogenic risk of engineered heart tissue patches through in silico application on infarcted ventricle models // Computers in Biology and Medicine. 2023. Vol. 154. p. 106550.
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Fassina D., Costa C., Bishop M., Plank G., Whitaker J., Harding S. E., Niederer S. A. Assessing the arrhythmogenic risk of engineered heart tissue patches through in silico application on infarcted ventricle models // Computers in Biology and Medicine. 2023. Vol. 154. p. 106550.
Cite this
RIS
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TY - JOUR
DO - 10.1016/j.compbiomed.2023.106550
UR - https://doi.org/10.1016/j.compbiomed.2023.106550
TI - Assessing the arrhythmogenic risk of engineered heart tissue patches through in silico application on infarcted ventricle models
T2 - Computers in Biology and Medicine
AU - Fassina, Damiano
AU - Costa, Caroline
AU - Bishop, Martin
AU - Plank, G.
AU - Whitaker, John
AU - Harding, Sian E.
AU - Niederer, Steven A.
PY - 2023
DA - 2023/03/01
PB - Elsevier
SP - 106550
VL - 154
PMID - 36701966
SN - 0010-4825
SN - 1879-0534
ER -
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@article{2023_Fassina,
author = {Damiano Fassina and Caroline Costa and Martin Bishop and G. Plank and John Whitaker and Sian E. Harding and Steven A. Niederer},
title = {Assessing the arrhythmogenic risk of engineered heart tissue patches through in silico application on infarcted ventricle models},
journal = {Computers in Biology and Medicine},
year = {2023},
volume = {154},
publisher = {Elsevier},
month = {mar},
url = {https://doi.org/10.1016/j.compbiomed.2023.106550},
pages = {106550},
doi = {10.1016/j.compbiomed.2023.106550}
}
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