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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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Publisher copy:
10.1098/rsos.200265

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Role:
Author
More by this author
Division:
MSD
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Role:
Author, Author
More by this author
Division:
MSD
Role:
Author, Author


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:
2054-5703


Language:
English
Keywords:
Pubs id:
1107250
Local pid:
pubs:1107250
Deposit date:
2020-05-28

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