Module-based multiscale simulation of angiogenesis in skeletal muscle.

Area of Science:

• Computational biology
• Systems biology
• Biophysics

Background:

• Mathematical modeling of angiogenesis is crucial for understanding blood vessel growth.
• Existing models focus on specific aspects and scales, posing integration challenges.
• Multiscale integration of angiogenesis models remains an unsolved problem.

Purpose of the Study:

• To develop a computational strategy for integrating diverse angiogenesis models.
• To create a multiscale model linking different biological scales of angiogenesis.
• To simulate exercise-induced angiogenesis in skeletal muscle.

Main Methods:

• An object-oriented, module-based integration strategy was developed.
• Modules for blood flow, oxygen, growth factor transport, and cell behavior were integrated.
• Diverse modeling techniques including PDEs and agent-based models were utilized.

Main Results:

• The integrated model successfully linked modules for multiscale angiogenesis simulation.
• Simulations of exercise-induced angiogenesis in skeletal muscle were performed.
• The strategy demonstrated effective module connectivity and data exchange.

Conclusions:

• The systems biology approach enables large-scale integration of angiogenesis models.
• This strategy is applicable to skeletal muscle and other tissues.
• It supports simulations under physiological and pathological conditions.