Multiscale bio-chemo-mechanical model of intimal hyperplasia.

Biomech Model Mechanobiol

Service de Chirurgie Vasculaire et Endovasculaire, LYVES Groupement Hospitalo-Universitaire Lyon Sud, Université Claude Bernard Lyon 1, 69100, Villeurbanne, France.

Published: April 2022

AI Article Synopsis

  • The study introduces a computational multiscale framework for a bio-chemo-mechanical model focused on intimal hyperplasia, exploring how blood flow dynamics, cell behavior, and biochemical interactions contribute to the disease.
  • A mathematical model is developed using kinetic differential equations to represent crucial vascular components like cell types, collagen, and growth factors, while the blood flow is described by the Navier-Stokes equations.
  • Validation of the model is demonstrated through a one-dimensional numerical test case, showing that the results align well with experimental data over different timescales, capturing key cellular processes involved in intimal hyperplasia.

Article Abstract

We consider a computational multiscale framework of a bio-chemo-mechanical model for intimal hyperplasia. With respect to existing models, we investigate the interactions between hemodynamics, cellular dynamics and biochemistry on the development of the pathology. Within the arterial wall, we propose a mathematical model consisting of kinetic differential equations for key vascular cell types, collagen and growth factors. The luminal hemodynamics is modeled with the Navier-Stokes equations. Coupling hypothesis among time and space scales are proposed to build a tractable modeling of such a complex multifactorial and multiscale pathology. A one-dimensional numerical test-case is presented for validation by comparing the results of the framework with experiments at short and long timescales. Our model permits to capture many cellular phenomena which have a central role in the physiopathology of intimal hyperplasia. Results are quantitatively and qualitatively consistent with experimental findings at both short and long timescales.

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Source
http://dx.doi.org/10.1007/s10237-022-01558-5DOI Listing

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