Robotic right ventricle is a biohybrid platform that simulates right ventricular function in (patho)physiological conditions and intervention
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Author(s) • • • • • • • • •
Singh, Manisha
Bonnemain, Jean
Ozturk, Caglar
Ayers, Brian
Saeed, Mossab Y.
Quevedo-Moreno, Diego
Rowlett, Meagan
Park, Clara
Fan, Yiling
Nguyen, Christopher T.
Date Issued
December 8, 2023
Journal
Nature Cardiovascular Research
Publisher
Springer Science and Business Media LLC
Citation
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).
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Final published version
Abstract
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.
MIT Department
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
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DOI of Published Version
https://doi.org/10.1038/s44161-023-00387-8