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模拟人体心脏中的心脏流体动力学。

Simulating cardiac fluid dynamics in the human heart.

作者信息

Davey Marshall, Puelz Charles, Rossi Simone, Smith Margaret Anne, Wells David R, Sturgeon Gregory M, Segars W Paul, Vavalle John P, Peskin Charles S, Griffith Boyce E

机构信息

Curriculum in Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, NC 27599, USA.

Department of Pediatrics-Cardiology, Baylor College of Medicine and Texas Children's Hospital, Houston, TX 77030, USA.

出版信息

PNAS Nexus. 2024 Sep 10;3(10):pgae392. doi: 10.1093/pnasnexus/pgae392. eCollection 2024 Oct.

Abstract

Cardiac fluid dynamics fundamentally involves interactions between complex blood flows and the structural deformations of the muscular heart walls and the thin valve leaflets. There has been longstanding scientific, engineering, and medical interest in creating mathematical models of the heart that capture, explain, and predict these fluid-structure interactions (FSIs). However, existing computational models that account for interactions among the blood, the actively contracting myocardium, and the valves are limited in their abilities to predict valve performance, capture fine-scale flow features, or use realistic descriptions of tissue biomechanics. Here we introduce and benchmark a comprehensive mathematical model of cardiac FSI in the human heart. A unique feature of our model is that it incorporates biomechanically detailed descriptions of all major cardiac structures that are calibrated using tensile tests of human tissue specimens to reflect the heart's microstructure. Further, it is the first FSI model of the heart that provides anatomically and physiologically detailed representations of all four cardiac valves. We demonstrate that this integrative model generates physiologic dynamics, including realistic pressure-volume loops that automatically capture isovolumetric contraction and relaxation, and that its responses to changes in loading conditions are consistent with the Frank-Starling mechanism. These complex relationships emerge intrinsically from interactions within our comprehensive description of cardiac physiology. Such models can serve as tools for predicting the impacts of medical interventions. They also can provide platforms for mechanistic studies of cardiac pathophysiology and dysfunction, including congenital defects, cardiomyopathies, and heart failure, that are difficult or impossible to perform in patients.

摘要

心脏流体动力学从根本上涉及复杂血流与心肌壁和薄瓣膜小叶的结构变形之间的相互作用。长期以来,科学界、工程界和医学界一直对创建能够捕捉、解释和预测这些流固相互作用(FSI)的心脏数学模型感兴趣。然而,现有的考虑血液、主动收缩的心肌和瓣膜之间相互作用的计算模型在预测瓣膜性能、捕捉精细尺度的流动特征或使用组织生物力学的真实描述方面能力有限。在此,我们介绍并对人体心脏的心脏FSI综合数学模型进行基准测试。我们模型的一个独特之处在于,它纳入了所有主要心脏结构的生物力学详细描述,这些描述通过人体组织标本的拉伸试验进行校准,以反映心脏的微观结构。此外,它是第一个对所有四个心脏瓣膜提供解剖学和生理学详细表示的心脏FSI模型。我们证明,这个综合模型产生生理动力学,包括自动捕捉等容收缩和舒张的真实压力-容积环,并且其对负荷条件变化的反应与Frank-Starling机制一致。这些复杂的关系从我们对心脏生理学的全面描述中的相互作用中内在地显现出来。这样的模型可以作为预测医疗干预影响的工具。它们还可以为心脏病理生理学和功能障碍(包括先天性缺陷、心肌病和心力衰竭)的机制研究提供平台,而这些研究在患者身上很难或无法进行。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f4e/11492567/682309390870/pgae392f1.jpg

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