Related Experiment Video
Updated: Jun 3, 2025
07:30
In Vitro Model of Physiological and Pathological Blood Flow with Application to Investigations of Vascular Cell Remodeling
Published on: November 3, 2015
9.6K
Angiogenesis Dynamics: A Computational Model of Intravascular Flow Within a Structural Adaptive Vascular Network
Sahar Jafari Nivlouei1, Ana Guerra1, Jorge Belinha2
1INEGI-Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, 4200-465 Porto, Portugal.
Biomedicines
|January 8, 2025
Summary
This study introduces a novel computational model for angiogenesis, simulating blood vessel growth and flow dynamics. The model accurately predicts capillary branching and provides quantitative insights into vascular development for improved wound healing strategies.
Area of Science:
- * Computational biology and mathematical modeling.
- * Vascular biology and angiogenesis research.
- * Biomedical engineering and tissue regeneration.
Background:
- * Angiogenesis, the growth of new blood vessels, is vital for wound healing, but current models lack quantitative data on blood flow and vessel dynamics.
- * Understanding vascular development is key to improving therapeutic strategies for chronic wound healing and tissue regeneration.
- * Existing chorioallantoic membrane (CAM) models do not quantify essential parameters like blood flow rate, intravascular pressure, or vessel diameter changes.
Purpose of the Study:
- * To develop a novel two-dimensional mathematical model for simulating angiogenesis.
- * To integrate discrete and continuous modeling approaches for detailed capillary network analysis.
- * To provide quantitative insights into vascular development and blood flow dynamics.
Main Methods:
- * Developed a hybrid meshless-based mathematical model for simulating sprouting angiogenesis.
- * Integrated discrete and continuous modeling to capture cellular interactions and capillary network structure.
- * Utilized the in vivo chorioallantoic membrane (CAM) system for simulation.
Main Results:
- * The model accurately predicted capillary branching with <15% deviation in capillary volume fraction.
- * Simulated blood flow, calculating intravascular pressure and vessel wall shear stress distribution.
- * An adaptive network demonstrated capillary responses to stimuli, showing significant diameter changes (p < 0.05) and metabolic stimuli (p < 0.01).
Conclusions:
- * The novel model offers strong predictive capabilities for simulating intravascular flow and angiogenesis.
- * Provides quantitative and qualitative assessments of vascular network development.
- * Enhances understanding of angiogenesis by creating a biologically relevant network addressing tissue functional demands.
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