ArticlePLoS computational biology2020
Biophysically detailed mathematical models of multiscale cardiac active mechanics.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.
- Simulating impaired left ventricular-arterial coupling in aging and disease: a systematic review.Biomedical engineering online · 2024Pooled it
- Elucidating the cellular determinants of the end-systolic pressure-volume relationship of the heart via computational modelling.The Journal of physiology · 2026Article
- Too rigid to strike: Excess desmin at Z-discs underlies a restrictive cardiomyopathy in GAN mice.iScience · 2026Article
- The functional impact of myofiber macroscopic organization and disarray in computational models of the murine heart.PLoS computational biology · 2026Article
- Causal AI in Cardiac Arrhythmia: From Pattern Recognition to Mechanistic Insight.Clinical cardiology · 2026Review
- Coupling Models of Resistive Valves to Muscle Mechanics in Cardiac Fluid-Structure Interaction Simulations.International journal for numerical methods in biomedical engineering · 2025Article
- Article
- Computational modelling for improved translation of cardiac inotropic and lusitropic drug effects from rats to humans.Journal of pharmacological and toxicological methods · 2025Article
- KFrontiers in physiology · 2025Article
- Personalized computational electro-mechanics simulations to optimize cardiac resynchronization therapy.Biomechanics and modeling in mechanobiology · 2024Article
- Review
- A comprehensive mathematical model for cardiac perfusion.Scientific reports · 2023Article
- Computational Modeling on Drugs Effects for Left Ventricle in Cardiomyopathy Disease.Pharmaceutics · 2023Article
- Tools for studying and modulating (cardiac muscle) cell mechanics and mechanosensing across the scales.Biophysical reviews · 2021Review
- Polygonal surface processing and mesh generation tools for the numerical simulation of the cardiac function.International journal for numerical methods in biomedical engineering · 2021Article
- Multiscale modeling of twitch contractions in cardiac trabeculae.The Journal of general physiology · 2021Article
- A Multiple Step Active Stiffness Integration Scheme to Couple a Stochastic Cross-Bridge Model and Continuum Mechanics for Uses in Both Basic Research and Clinical Applications of Heart Simulation.Frontiers in physiology · 2021Article
- Active Force Generation in Cardiac Muscle Cells: Mathematical Modeling and Numerical Simulation of the Actin-Myosin Interaction.Vietnam journal of mathematics · 2021Review
- Biophysically detailed mathematical models of multiscale cardiac active mechanics.PLoS computational biology · 2020Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We propose four novel mathematical models, describing the microscopic mechanisms of force generation in the cardiac muscle tissue, which are suitable for multiscale numerical simulations of cardiac electromechanics. Such models are based on a biophysically accurate representation of the regulatory and contractile proteins in the sarcomeres. Our models, unlike most of the sarcomere dynamics models that are available in the literature and that feature a comparable richness of detail, do not require the time-consuming Monte Carlo method for their numerical approximation. Conversely, the models that we propose only require the solution of a system of PDEs and/or ODEs (the most reduced of the four only involving 20 ODEs), thus entailing a significant computational efficiency. By focusing on the two models that feature the best trade-off between detail of description and identifiability of parameters, we propose a pipeline to calibrate such parameters starting from experimental measurements available in literature. Thanks to this pipeline, we calibrate these models for room-temperature rat and for body-temperature human cells. We show, by means of numerical simulations, that the proposed models correctly predict the main features of force generation, including the steady-state force-calcium and force-length relationships, the length-dependent prolongation of twitches and increase of peak force, the force-velocity relationship. Moreover, they correctly reproduce the Frank-Starling effect, when employed in multiscale 3D numerical simulation of cardiac electromechanics.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.