ArticlePLoS computational biology2021
Frank-Starling mechanism, fluid responsiveness, and length-dependent activation: Unravelling the multiscale behaviors with an in silico analysis.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
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- Next Generation Experimental Models of Venous Physiology and Pathology: Examining Human Relevance in Recapitulating Lower Extremity Flow and Valve Function in New Approach Methods (NAMs).Small (Weinheim an der Bergstrasse, Germany) · 2026Review
- Influence of arteries, vein and placenta interactions on the blood flow in the human umbilical cord.PloS one · 2026Article
- Bidirectional Electrical and Optoelectronic Interfaces in Healthy and Ischemic Ex Vivo Rat Hearts.Journal of visualized experiments : JoVE · 2025Article
- Comparative mechanistic analysis of danicamtiv and omecamtiv mecarbil's in vivo cardiac effects.The Journal of general physiology · 2025Article
- Tidal Volume Challenge to Assess Volume Responsiveness with Dynamic Preload Indices During Non-Cardiac Surgery: A Prospective Study.Journal of clinical medicine · 2024Article
- Simulating cardiac fluid dynamics in the human heart.PNAS nexus · 2024Article
- The structural and functional effects of myosin regulatory light chain phosphorylation are amplified by increases in sarcomere length and [CaThe Journal of physiology · 2024Article
- Differences in Mechanical, Electrical and Calcium Transient Performance of the Isolated Right Atrial and Ventricular Myocardium of Guinea Pigs at Different Preloads (Lengths).International journal of molecular sciences · 2023Article
- Differences in Effects of Length-Dependent Regulation of Force and CaInternational journal of molecular sciences · 2023Article
- RLC phosphorylation amplifies Ca2+ sensitivity of force in myocardium from cMyBP-C knockout mice.The Journal of general physiology · 2023Article
- Sex differences in autonomic recovery following repeated sinusoidal resistance exercise.Physiological reports · 2022Article
- Evaluation of adalimumab effects on left ventricle performance by echocardiography indexes among patients with immunosuppressant refractory ulcerative colitis.Frontiers in medicine · 2022Article
- cRGD Urokinase Liposomes for Thrombolysis in Rat Model of Acute Pulmonary Microthromboembolism.Drug design, development and therapy · 2022Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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