Suppr超能文献

Frank-Starling 机制、液体反应性和长度依赖性激活:通过计算机分析揭示多尺度行为。

Frank-Starling mechanism, fluid responsiveness, and length-dependent activation: Unravelling the multiscale behaviors with an in silico analysis.

机构信息

GIGA-In Silico Medicine, University of Liège, Liège, Belgium.

出版信息

PLoS Comput Biol. 2021 Oct 11;17(10):e1009469. doi: 10.1371/journal.pcbi.1009469. eCollection 2021 Oct.

Abstract

The Frank-Starling mechanism is a fundamental regulatory property which underlies the cardiac output adaptation to venous filling. Length-dependent activation is generally assumed to be the cellular origin of this mechanism. At the heart scale, it is commonly admitted that an increase in preload (ventricular filling) leads to an increased cellular force and an increased volume of ejected blood. This explanation also forms the basis for vascular filling therapy. It is actually difficult to unravel the exact nature of the relationship between length-dependent activation and the Frank-Starling mechanism, as three different scales (cellular, ventricular and cardiovascular) are involved. Mathematical models are powerful tools to overcome these limitations. In this study, we use a multiscale model of the cardiovascular system to untangle the three concepts (length-dependent activation, Frank-Starling, and vascular filling). We first show that length-dependent activation is required to observe both the Frank-Starling mechanism and a positive response to high vascular fillings. Our results reveal a dynamical length dependent activation-driven response to changes in preload, which involves interactions between the cellular, ventricular and cardiovascular levels and thus highlights fundamentally multiscale behaviors. We show however that the cellular force increase is not enough to explain the cardiac response to rapid changes in preload. We also show that the absence of fluid responsiveness is not related to a saturating Frank-Starling effect. As it is challenging to study those multiscale phenomena experimentally, this computational approach contributes to a more comprehensive knowledge of the sophisticated length-dependent properties of cardiac muscle.

摘要

弗兰克-斯塔林机制是一种基本的调节特性,它是心脏输出适应静脉充盈的基础。长度依赖性激活通常被认为是该机制的细胞起源。在心脏水平上,人们普遍认为前负荷(心室充盈)的增加会导致细胞力的增加和射出血量的增加。这种解释也是血管充盈治疗的基础。实际上,很难理清长度依赖性激活与弗兰克-斯塔林机制之间的确切关系,因为涉及到三个不同的尺度(细胞、心室和心血管)。数学模型是克服这些限制的有力工具。在这项研究中,我们使用心血管系统的多尺度模型来解开三个概念(长度依赖性激活、弗兰克-斯塔林和血管充盈)。我们首先表明,长度依赖性激活是观察弗兰克-斯塔林机制和对高血管充盈的正反应所必需的。我们的结果揭示了一种对前负荷变化的动态长度依赖性激活驱动的反应,其中涉及细胞、心室和心血管水平之间的相互作用,从而突出了基本的多尺度行为。然而,我们表明细胞力的增加不足以解释心脏对前负荷快速变化的反应。我们还表明,没有液体反应性与饱和的弗兰克-斯塔林效应无关。由于实验研究这些多尺度现象具有挑战性,这种计算方法有助于更全面地了解心脏肌肉复杂的长度依赖性特性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4356/8504729/99e03eda94e7/pcbi.1009469.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验