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

• Published in: PLoS computational biology 2021-10, Vol.17 (10), p.e1009469
• Main Authors: Kosta, Sarah, Dauby, Pierre C
• Format: Article
• Language: English
• Subjects: Biology and Life Sciences; Blood; Cardiac muscle; Cardiac output; Cardiovascular & respiratory systems; Cardiovascular system; Computational Biology; Computer applications; Computer Simulation; Heart; Heart - physiology; Human health sciences; Humans; Mathematical analysis; Mathematical models; Medicine and Health Sciences; Models, Cardiovascular; Muscles; Myocardial Contraction - physiology; Physical, chemical, mathematical & earth Sciences; Physiological aspects; Physiology; Physique, chimie, mathématiques & sciences de la terre; Sciences de la santé humaine; Stroke; Systèmes cardiovasculaire & respiratoire; Ventricle; Ventricular Function - physiology
• ISSN: 1553-7358; 1553-734X; 1553-7358
• DOI: 10.1371/journal.pcbi.1009469

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.