Robotic right ventricle is a biohybrid platform that simulates right ventricular function in (patho)physiological conditions and intervention
The increasing recognition of the right ventricle (RV) necessitates the development of RV-focused interventions, devices and testbeds. In this study, we developed a soft robotic model of the right heart that accurately mimics RV biomechanics and hemodynamics, including free wall, septal and valve mo...
Main Authors: | , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Springer Science and Business Media LLC
2024
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Online Access: | https://hdl.handle.net/1721.1/154097 |
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author | Singh, Manisha Bonnemain, Jean Ozturk, Caglar Ayers, Brian Saeed, Mossab Y. Quevedo-Moreno, Diego Rowlett, Meagan Park, Clara Fan, Yiling Nguyen, Christopher T. Roche, Ellen T. |
author2 | Massachusetts Institute of Technology. Institute for Medical Engineering & Science |
author_facet | Massachusetts Institute of Technology. Institute for Medical Engineering & Science Singh, Manisha Bonnemain, Jean Ozturk, Caglar Ayers, Brian Saeed, Mossab Y. Quevedo-Moreno, Diego Rowlett, Meagan Park, Clara Fan, Yiling Nguyen, Christopher T. Roche, Ellen T. |
author_sort | Singh, Manisha |
collection | MIT |
description | The increasing recognition of the right ventricle (RV) necessitates the development of RV-focused interventions, devices and testbeds. In this study, we developed a soft robotic model of the right heart that accurately mimics RV biomechanics and hemodynamics, including free wall, septal and valve motion. This model uses a biohybrid approach, combining a chemically treated endocardial scaffold with a soft robotic synthetic myocardium. When connected to a circulatory flow loop, the robotic right ventricle (RRV) replicates real-time hemodynamic changes in healthy and pathological conditions, including volume overload, RV systolic failure and pressure overload. The RRV also mimics clinical markers of RV dysfunction and is validated using an in vivo porcine model. Additionally, the RRV recreates chordae tension, simulating papillary muscle motion, and shows the potential for tricuspid valve repair and replacement in vitro. This work aims to provide a platform for developing tools for research and treatment for RV pathophysiology. |
first_indexed | 2024-09-23T11:59:32Z |
format | Article |
id | mit-1721.1/154097 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2025-02-19T04:20:49Z |
publishDate | 2024 |
publisher | Springer Science and Business Media LLC |
record_format | dspace |
spelling | mit-1721.1/1540972025-01-04T05:36:16Z Robotic right ventricle is a biohybrid platform that simulates right ventricular function in (patho)physiological conditions and intervention Singh, Manisha Bonnemain, Jean Ozturk, Caglar Ayers, Brian Saeed, Mossab Y. Quevedo-Moreno, Diego Rowlett, Meagan Park, Clara Fan, Yiling Nguyen, Christopher T. Roche, Ellen T. Massachusetts Institute of Technology. Institute for Medical Engineering & Science Massachusetts Institute of Technology. Department of Mechanical Engineering Massachusetts Institute of Technology. Department of Biological Engineering The increasing recognition of the right ventricle (RV) necessitates the development of RV-focused interventions, devices and testbeds. In this study, we developed a soft robotic model of the right heart that accurately mimics RV biomechanics and hemodynamics, including free wall, septal and valve motion. This model uses a biohybrid approach, combining a chemically treated endocardial scaffold with a soft robotic synthetic myocardium. When connected to a circulatory flow loop, the robotic right ventricle (RRV) replicates real-time hemodynamic changes in healthy and pathological conditions, including volume overload, RV systolic failure and pressure overload. The RRV also mimics clinical markers of RV dysfunction and is validated using an in vivo porcine model. Additionally, the RRV recreates chordae tension, simulating papillary muscle motion, and shows the potential for tricuspid valve repair and replacement in vitro. This work aims to provide a platform for developing tools for research and treatment for RV pathophysiology. 2024-04-08T18:07:57Z 2024-04-08T18:07:57Z 2023-12-08 2024-04-08T17:54:06Z Article http://purl.org/eprint/type/JournalArticle 2731-0590 https://hdl.handle.net/1721.1/154097 Singh, M., Bonnemain, J., Ozturk, C. et al. Robotic right ventricle is a biohybrid platform that simulates right ventricular function in (patho)physiological conditions and intervention. Nat Cardiovasc Res 2, 1310–1326 (2023). en 10.1038/s44161-023-00387-8 Nature Cardiovascular Research Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ application/pdf Springer Science and Business Media LLC Springer Nature |
spellingShingle | Singh, Manisha Bonnemain, Jean Ozturk, Caglar Ayers, Brian Saeed, Mossab Y. Quevedo-Moreno, Diego Rowlett, Meagan Park, Clara Fan, Yiling Nguyen, Christopher T. Roche, Ellen T. Robotic right ventricle is a biohybrid platform that simulates right ventricular function in (patho)physiological conditions and intervention |
title | Robotic right ventricle is a biohybrid platform that simulates right ventricular function in (patho)physiological conditions and intervention |
title_full | Robotic right ventricle is a biohybrid platform that simulates right ventricular function in (patho)physiological conditions and intervention |
title_fullStr | Robotic right ventricle is a biohybrid platform that simulates right ventricular function in (patho)physiological conditions and intervention |
title_full_unstemmed | Robotic right ventricle is a biohybrid platform that simulates right ventricular function in (patho)physiological conditions and intervention |
title_short | Robotic right ventricle is a biohybrid platform that simulates right ventricular function in (patho)physiological conditions and intervention |
title_sort | robotic right ventricle is a biohybrid platform that simulates right ventricular function in patho physiological conditions and intervention |
url | https://hdl.handle.net/1721.1/154097 |
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