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Published on: September 13, 2016
A versatile hybrid agent-based, particle and partial differential equations method to analyze vascular adaptation.
Marc Garbey1,2,3, Stefano Casarin4,5, Scott A Berceli6,7
1Houston Methodist Research Institute, Houston, TX, USA. garbeymarc@gmail.com.
Peripheral arterial occlusive disease treatments can fail due to complex biological and biomechanical factors. This study introduces a hybrid computational model to better understand graft adaptation and improve intervention outcomes.
Area of Science:
- Biomedical Engineering
- Computational Biology
- Vascular Biology
Background:
- Peripheral arterial occlusive disease affects millions, with interventions like vein graft bypasses often failing.
- Intervention failure stems from intricate interactions between vascular biology, biomechanics, and clinical decisions.
- Understanding graft adaptation is crucial for improving endovascular treatment success rates.
Purpose of the Study:
- To develop a versatile computational model simulating the feedback loop between cellular/tissue events and mechano-environmental conditions in vein graft adaptation.
- To improve upon previous agent-based models by incorporating more realistic biological laws and the role of vein membranes.
- To offer a modular hybrid approach combining agent-based modeling, continuum mechanics, and particle-tracking for multiscale phenomena.
Main Methods:
- A hybrid computational model integrating agent-based principles, continuum mechanics, and particle-tracking methods.
- Utilized an immersed boundary implementation of viscous flow to model smooth muscle cell (SMC) motility and matrix reorganization.
- Focused on a modular design allowing adjustable complexity and physiological realism for simulating graft adaptation.
Main Results:
- The model captures the interplay between intimal hyperplasia and wall remodeling, key determinants of vein graft success or failure.
- Simulations demonstrated that mechanical homeostasis drives cellular motility and extracellular matrix balance, crucial for accurate histological distribution.
- The hybrid model facilitates rapid hypothesis testing for factors influencing graft adaptation, particularly cellular behavior.
Conclusions:
- A novel modular hybrid computational model effectively simulates the multiscale adaptation phenomena in peripheral endovascular interventions.
- The model highlights the critical role of mechanical homeostasis in regulating cellular behavior and extracellular matrix organization for successful graft adaptation.
- This approach offers a powerful tool for investigating and potentially improving outcomes in treatments for peripheral arterial occlusive disease.
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