Hemodynamic evaluation of biomaterial-based surgery for Tetralogy of Fallot using a biorobotic heart, in silico, and ovine models
Hemodynamic evaluation of biomaterial-based surgery for Tetralogy of Fallot using a biorobotic heart, in silico, and ovine models
Tetralogy of Fallot is a congenital heart disease affecting newborns and involves stenosis of the right ventricular outflow tract (RVOT). Surgical correction often widens the RVOT with a transannular enlargement patch, but this causes issues including pulmonary valve insufficiency and progressive right ventricle failure. A monocusp valve can prevent pulmonary regurgitation; however, valve failure resulting from factors including leaflet design, morphology, and immune response can occur, ultimately resulting in pulmonary insufficiency. A multimodal platform to quantitatively evaluate the effect of shape, size, and material on clinical outcomes could optimize monocusp design. This study introduces a benchtop soft biorobotic heart model, a computational fluid model of the RVOT, and a monocusp valve made from an entirely biological cell-assembled extracellular matrix (CAM) to tackle the multifaceted issue of monocusp failure. The hydrodynamic and mechanical performance of RVOT repair strategies was assessed in biorobotic and computational platforms. The monocusp valve design was validated in vivo in ovine models through echocardiography, cardiac magnetic resonance, and catheterization. These models supported assessment of surgical feasibility, handling, suturability, and hemodynamic and mechanical monocusp capabilities. The CAM-based monocusp offered a competent pulmonary valve with regurgitation of 4.6 ± 0.9% and a transvalvular pressure gradient of 4.3 ± 1.4 millimeters of mercury after 7 days of implantation in sheep. The biorobotic heart model, in silico analysis, and in vivo RVOT modeling allowed iteration in monocusp design not now feasible in a clinical environment and will support future surgical testing of biomaterials for complex congenital heart malformations.
Singh, Manisha
81e1f176-600e-4b05-a8c2-85d67bc00ad3
Roubertie, François
64f9cdac-93ed-4e56-92c5-c1b6e17f0b8b
Ozturk, Caglar
70bbd3bd-fc56-48e8-8b5e-00d5270c1526
Borchiellini, Paul
9c195f61-5054-40a8-8238-7a94d9e127a0
Rames, Adeline
a215082e-7477-481b-8ebd-c63aba92b96a
Bonnemain, Jean
3af327cb-2132-4569-abba-6347a3f8b3f7
Gollob, Samuel Dutra
36cf5aaf-31fc-4316-85b3-324eabca4ba3
Wang, Sophie X.
f9873600-3507-4a6f-93b0-a96069aba629
Naulin, Jérôme
8c2d9951-94df-43b5-a802-8abcfb4a2ece
El Hamrani, Dounia
8f31aa67-e3f4-4219-a621-77f127dae6a5
Dugot-Senant, Nathalie
42e1b93e-a179-4f52-8b4f-fe6d259299fc
Gosselin, Isalyne
b7830a3a-3bbc-496e-8f38-581ae502d983
Grenet, Célia
4dfab2c8-ed9b-44bd-8f61-83b0b533e2a2
L’Heureux, Nicolas
8deb5fbc-0ac6-490c-8602-f9f6e6fe30ac
Roche, Ellen T.
63e632c8-d821-4c2f-a728-aaf331a5c2a1
Kawecki, Fabien
2e94e309-a8bd-47ea-9024-4c97f6138c52
10 July 2024
Singh, Manisha
81e1f176-600e-4b05-a8c2-85d67bc00ad3
Roubertie, François
64f9cdac-93ed-4e56-92c5-c1b6e17f0b8b
Ozturk, Caglar
70bbd3bd-fc56-48e8-8b5e-00d5270c1526
Borchiellini, Paul
9c195f61-5054-40a8-8238-7a94d9e127a0
Rames, Adeline
a215082e-7477-481b-8ebd-c63aba92b96a
Bonnemain, Jean
3af327cb-2132-4569-abba-6347a3f8b3f7
Gollob, Samuel Dutra
36cf5aaf-31fc-4316-85b3-324eabca4ba3
Wang, Sophie X.
f9873600-3507-4a6f-93b0-a96069aba629
Naulin, Jérôme
8c2d9951-94df-43b5-a802-8abcfb4a2ece
El Hamrani, Dounia
8f31aa67-e3f4-4219-a621-77f127dae6a5
Dugot-Senant, Nathalie
42e1b93e-a179-4f52-8b4f-fe6d259299fc
Gosselin, Isalyne
b7830a3a-3bbc-496e-8f38-581ae502d983
Grenet, Célia
4dfab2c8-ed9b-44bd-8f61-83b0b533e2a2
L’Heureux, Nicolas
8deb5fbc-0ac6-490c-8602-f9f6e6fe30ac
Roche, Ellen T.
63e632c8-d821-4c2f-a728-aaf331a5c2a1
Kawecki, Fabien
2e94e309-a8bd-47ea-9024-4c97f6138c52
Singh, Manisha, Roubertie, François, Ozturk, Caglar, Borchiellini, Paul, Rames, Adeline, Bonnemain, Jean, Gollob, Samuel Dutra, Wang, Sophie X., Naulin, Jérôme, El Hamrani, Dounia, Dugot-Senant, Nathalie, Gosselin, Isalyne, Grenet, Célia, L’Heureux, Nicolas, Roche, Ellen T. and Kawecki, Fabien
(2024)
Hemodynamic evaluation of biomaterial-based surgery for Tetralogy of Fallot using a biorobotic heart, in silico, and ovine models.
Science Translational Medicine, 16 (755), [eadk2936].
(doi:10.1126/scitranslmed.adk2936).
Abstract
Tetralogy of Fallot is a congenital heart disease affecting newborns and involves stenosis of the right ventricular outflow tract (RVOT). Surgical correction often widens the RVOT with a transannular enlargement patch, but this causes issues including pulmonary valve insufficiency and progressive right ventricle failure. A monocusp valve can prevent pulmonary regurgitation; however, valve failure resulting from factors including leaflet design, morphology, and immune response can occur, ultimately resulting in pulmonary insufficiency. A multimodal platform to quantitatively evaluate the effect of shape, size, and material on clinical outcomes could optimize monocusp design. This study introduces a benchtop soft biorobotic heart model, a computational fluid model of the RVOT, and a monocusp valve made from an entirely biological cell-assembled extracellular matrix (CAM) to tackle the multifaceted issue of monocusp failure. The hydrodynamic and mechanical performance of RVOT repair strategies was assessed in biorobotic and computational platforms. The monocusp valve design was validated in vivo in ovine models through echocardiography, cardiac magnetic resonance, and catheterization. These models supported assessment of surgical feasibility, handling, suturability, and hemodynamic and mechanical monocusp capabilities. The CAM-based monocusp offered a competent pulmonary valve with regurgitation of 4.6 ± 0.9% and a transvalvular pressure gradient of 4.3 ± 1.4 millimeters of mercury after 7 days of implantation in sheep. The biorobotic heart model, in silico analysis, and in vivo RVOT modeling allowed iteration in monocusp design not now feasible in a clinical environment and will support future surgical testing of biomaterials for complex congenital heart malformations.
This record has no associated files available for download.
More information
Published date: 10 July 2024
Additional Information:
Publisher Copyright:
Copyright © 2024 Th Authors, some rights reserved
Identifiers
Local EPrints ID: 493776
URI: http://eprints.soton.ac.uk/id/eprint/493776
ISSN: 1946-6234
PURE UUID: 18355a91-d160-4bf0-b111-b9a4ca2513c2
Catalogue record
Date deposited: 12 Sep 2024 16:43
Last modified: 13 Sep 2024 02:11
Export record
Altmetrics
Contributors
Author:
Manisha Singh
Author:
François Roubertie
Author:
Caglar Ozturk
Author:
Paul Borchiellini
Author:
Adeline Rames
Author:
Jean Bonnemain
Author:
Samuel Dutra Gollob
Author:
Sophie X. Wang
Author:
Jérôme Naulin
Author:
Dounia El Hamrani
Author:
Nathalie Dugot-Senant
Author:
Isalyne Gosselin
Author:
Célia Grenet
Author:
Nicolas L’Heureux
Author:
Ellen T. Roche
Author:
Fabien Kawecki
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics