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An agent-based model of tissue maintenance and self-repair
Jason H T Bates1, Jacob Herrmann2, Dylan T Casey1,3
1Department of Medicine, University of Vermont, Burlington, Vermont, United States.
Tissue maintenance systems can self-heal if cell behavior is guided by local tissue conditions. Simple rules based on tissue density enable stable self-repair and faster healing rates following damage.
Area of Science:
- Computational biology
- Systems biology
- Tissue engineering
Background:
- Biological systems require continuous tissue maintenance to function.
- Self-healing is a critical property for organismal resilience and longevity.
Purpose of the Study:
- To investigate the relationship between tissue maintenance and self-healing capacities.
- To determine the influence of local tissue state on cell behavior for stable self-healing.
- To explore mechanisms that enhance self-healing rates.
Main Methods:
- Agent-based modeling (ABM) was employed to simulate tissue maintenance and repair.
- Simulations explored varying parameters such as agent digestion rates, tissue density, and cell movement rules.
- The model assessed the stability and efficiency of tissue self-healing under different conditions.
Main Results:
- Tissue density is robustly maintained when digestion is proportional to local density.
- Increased digestion rates or agent densities accelerate self-healing.
- Self-healing remains stable even with simple cell rules based on local tissue density.
Conclusions:
- Ongoing tissue maintenance inherently confers the capacity for self-healing.
- Cellular behavior influenced by local tissue state is fundamental for stable self-repair.
- Simple, state-dependent cellular rules can achieve basic self-healing, with tunable mechanisms for accelerated repair.
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