Hemodynamic evaluation of biomaterial-based surgery for Tetralogy of Fallot using a biorobotic heart, in silico, and ovine models

IF 15.8 1区 医学 Q1 CELL BIOLOGY Science Translational Medicine Pub Date : 2024-07-10 DOI:10.1126/scitranslmed.adk2936
Manisha Singh, François Roubertie, Caglar Ozturk, Paul Borchiellini, Adeline Rames, Jean Bonnemain, Samuel Dutra Gollob, Sophie X. Wang, Jérôme Naulin, Dounia El Hamrani, Nathalie Dugot-Senant, Isalyne Gosselin, Célia Grenet, Nicolas L’Heureux, Ellen T. Roche, Fabien Kawecki
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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.
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利用人造心脏、硅学和绵羊模型对基于生物材料的法洛氏四联症手术进行血液动力学评估。
法洛氏四联症是一种影响新生儿的先天性心脏病,涉及右心室流出道(RVOT)狭窄。手术矫正通常使用经环扩大补片扩大 RVOT,但这会导致肺动脉瓣功能不全和渐进性右心室衰竭等问题。单焦点瓣膜可防止肺动脉瓣反流,但由于瓣叶设计、形态和免疫反应等因素,可能导致瓣膜失效,最终导致肺动脉瓣关闭不全。通过多模态平台定量评估形状、尺寸和材料对临床结果的影响,可以优化单瓣膜的设计。本研究引入了台式软生物心脏模型、RVOT 计算流体模型和完全由生物细胞组装的细胞外基质(CAM)制成的单焦点瓣膜,以解决单焦点瓣膜失效的多方面问题。在生物机器人和计算平台上评估了 RVOT 修复策略的流体力学和机械性能。通过超声心动图、心脏磁共振和导管术,在绵羊模型中对单灶瓣设计进行了体内验证。这些模型支持对手术可行性、操作、缝合性以及血液动力学和机械单瓣膜能力进行评估。基于 CAM 的单瓣膜在绵羊体内植入 7 天后,肺动脉瓣功能正常,反流率为 4.6 ± 0.9%,跨瓣压力梯度为 4.3 ± 1.4 毫米汞柱。生物机器人心脏模型、硅学分析和体内 RVOT 建模使得单瓣膜设计的迭代成为可能,但目前在临床环境中并不可行,这将为未来复杂先天性心脏畸形的生物材料手术测试提供支持。
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来源期刊
Science Translational Medicine
Science Translational Medicine CELL BIOLOGY-MEDICINE, RESEARCH & EXPERIMENTAL
CiteScore
26.70
自引率
1.20%
发文量
309
审稿时长
1.7 months
期刊介绍: Science Translational Medicine is an online journal that focuses on publishing research at the intersection of science, engineering, and medicine. The goal of the journal is to promote human health by providing a platform for researchers from various disciplines to communicate their latest advancements in biomedical, translational, and clinical research. The journal aims to address the slow translation of scientific knowledge into effective treatments and health measures. It publishes articles that fill the knowledge gaps between preclinical research and medical applications, with a focus on accelerating the translation of knowledge into new ways of preventing, diagnosing, and treating human diseases. The scope of Science Translational Medicine includes various areas such as cardiovascular disease, immunology/vaccines, metabolism/diabetes/obesity, neuroscience/neurology/psychiatry, cancer, infectious diseases, policy, behavior, bioengineering, chemical genomics/drug discovery, imaging, applied physical sciences, medical nanotechnology, drug delivery, biomarkers, gene therapy/regenerative medicine, toxicology and pharmacokinetics, data mining, cell culture, animal and human studies, medical informatics, and other interdisciplinary approaches to medicine. The target audience of the journal includes researchers and management in academia, government, and the biotechnology and pharmaceutical industries. It is also relevant to physician scientists, regulators, policy makers, investors, business developers, and funding agencies.
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