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Modeling Human Cardiac Arrhythmias: Insights from Zebrafish
Cardiac arrhythmia, or irregular heart rhythm, is associated with morbidity and mortality and is described as one of the most important future public health challenges. Therefore, developing new models of cardiac arrhythmia is critical for understanding disease mechanisms, determining genetic underp...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8779270/ https://www.ncbi.nlm.nih.gov/pubmed/35050223 http://dx.doi.org/10.3390/jcdd9010013 |
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author | Gauvrit, Sébastien Bossaer, Jaclyn Lee, Joyce Collins, Michelle M. |
author_facet | Gauvrit, Sébastien Bossaer, Jaclyn Lee, Joyce Collins, Michelle M. |
author_sort | Gauvrit, Sébastien |
collection | PubMed |
description | Cardiac arrhythmia, or irregular heart rhythm, is associated with morbidity and mortality and is described as one of the most important future public health challenges. Therefore, developing new models of cardiac arrhythmia is critical for understanding disease mechanisms, determining genetic underpinnings, and developing new therapeutic strategies. In the last few decades, the zebrafish has emerged as an attractive model to reproduce in vivo human cardiac pathologies, including arrhythmias. Here, we highlight the contribution of zebrafish to the field and discuss the available cardiac arrhythmia models. Further, we outline techniques to assess potential heart rhythm defects in larval and adult zebrafish. As genetic tools in zebrafish continue to bloom, this model will be crucial for functional genomics studies and to develop personalized anti-arrhythmic therapies. |
format | Online Article Text |
id | pubmed-8779270 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87792702022-01-22 Modeling Human Cardiac Arrhythmias: Insights from Zebrafish Gauvrit, Sébastien Bossaer, Jaclyn Lee, Joyce Collins, Michelle M. J Cardiovasc Dev Dis Review Cardiac arrhythmia, or irregular heart rhythm, is associated with morbidity and mortality and is described as one of the most important future public health challenges. Therefore, developing new models of cardiac arrhythmia is critical for understanding disease mechanisms, determining genetic underpinnings, and developing new therapeutic strategies. In the last few decades, the zebrafish has emerged as an attractive model to reproduce in vivo human cardiac pathologies, including arrhythmias. Here, we highlight the contribution of zebrafish to the field and discuss the available cardiac arrhythmia models. Further, we outline techniques to assess potential heart rhythm defects in larval and adult zebrafish. As genetic tools in zebrafish continue to bloom, this model will be crucial for functional genomics studies and to develop personalized anti-arrhythmic therapies. MDPI 2022-01-05 /pmc/articles/PMC8779270/ /pubmed/35050223 http://dx.doi.org/10.3390/jcdd9010013 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Gauvrit, Sébastien Bossaer, Jaclyn Lee, Joyce Collins, Michelle M. Modeling Human Cardiac Arrhythmias: Insights from Zebrafish |
title | Modeling Human Cardiac Arrhythmias: Insights from Zebrafish |
title_full | Modeling Human Cardiac Arrhythmias: Insights from Zebrafish |
title_fullStr | Modeling Human Cardiac Arrhythmias: Insights from Zebrafish |
title_full_unstemmed | Modeling Human Cardiac Arrhythmias: Insights from Zebrafish |
title_short | Modeling Human Cardiac Arrhythmias: Insights from Zebrafish |
title_sort | modeling human cardiac arrhythmias: insights from zebrafish |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8779270/ https://www.ncbi.nlm.nih.gov/pubmed/35050223 http://dx.doi.org/10.3390/jcdd9010013 |
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