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机器人右心室是一种生物混合平台,可模拟(病理)生理条件和干预下的右心室功能。

Robotic right ventricle is a biohybrid platform that simulates right ventricular function in (patho)physiological conditions and intervention.

机构信息

Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.

Department of Adult Intensive Care Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

出版信息

Nat Cardiovasc Res. 2023 Dec;2(12):1310-1326. doi: 10.1038/s44161-023-00387-8. Epub 2023 Dec 8.

DOI:10.1038/s44161-023-00387-8
PMID:39183977
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11343235/
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.

摘要

日益认识到右心室(RV)的重要性,这就需要开发 RV 为重点的介入治疗、设备和测试平台。在这项研究中,我们开发了一个精确模拟 RV 生物力学和血液动力学的柔软心脏机器人模型,包括游离壁、室间隔和瓣膜运动。该模型采用生物混合方法,将化学处理的心内膜支架与柔软的机器人合成心肌结合在一起。当与循环流动回路连接时,机器人右心室(RRV)可复制健康和病理条件下的实时血液动力学变化,包括容量超负荷、RV 收缩功能障碍和压力超负荷。RRV 还模拟 RV 功能障碍的临床标志物,并使用体内猪模型进行验证。此外,RRV 再现了腱索张力,模拟了乳头肌运动,并显示了体外三尖瓣修复和置换的潜力。这项工作旨在为 RV 病理生理学的研究和治疗工具的开发提供一个平台。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1665/11343235/3b11ebb30163/nihms-1970594-f0008.jpg
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