Journal article
Combining tissue engineering and optical imaging approaches to explore interactions along the neuro-cardiac axis
- Abstract:
- Interactions along the neuro-cardiac axis are being explored with regard to their involvement in cardiac diseases, including catecholaminergic polymorphic ventricular tachycardia, hypertension, atrial fibrillation, long QT syndrome, and sudden death in epilepsy. Interrogation of the pathophysiology and pathogenesis of neuro-cardiac diseases in animal models present challenges resulting from species differences, phenotypic variation, developmental effects, and limited availability of data relevant at both the tissue and cellular level. In contrast, tissue engineered models containing cardiomyocytes and peripheral sympathetic and parasympathetic neurons afford characterization of cellular and tissue level behaviours whilst maintaining precise control over developmental conditions, cellular genotype and phenotype. Such approaches are uniquely suited to long term, high-throughput characterization utilising optical recording techniques with the potential for increased translational benefit compared to more established techniques. Furthermore, tissue engineered constructs provide an intermediary between whole animal/tissue experiments and in silico models. This paper reviews the advantages of tissue engineering methods of multiple cell types and optical imaging techniques for the characterization of neuro-cardiac diseases.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, 751.3KB, Terms of use)
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- Publisher copy:
- 10.1098/rsos.200265
Authors
- Publisher:
- The Royal Society
- Journal:
- Royal Society Open Science More from this journal
- Volume:
- 7
- Article number:
- 200265
- Publication date:
- 2020-06-17
- Acceptance date:
- 2020-05-27
- DOI:
- EISSN:
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2054-5703
- Language:
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English
- Keywords:
- Pubs id:
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1107250
- Local pid:
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pubs:1107250
- Deposit date:
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2020-05-28
Terms of use
- Copyright holder:
- Sigalas et al.
- Copyright date:
- 2020
- Rights statement:
- © 2020 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
- Notes:
- This is the accepted manuscript version of the article. The final version will be available from The Royal Society soon.
- Licence:
- CC Attribution (CC BY)
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