Modeling cell populations metabolism and competition under maximum power constraints

Area of Science:

• Cellular Ecology
• Systems Biology
• Cancer Biology

Background:

• Cellular systems can be described using ecological principles, including growth, adaptation, and survival.
• Understanding cellular metabolism and competition under energetic constraints is crucial for modeling disease progression.

Purpose of the Study:

• To develop a minimal ecological model for cell populations.
• To apply this model to understand the dynamics of Multiple Myeloma onset and progression.
• To investigate the role of microenvironmental factors and cellular energetics in cancer evolution.

Main Methods:

• Utilized a minimal ecological framework focusing on growth, adaptation, and survival.
• Modeled cell metabolisms and competition under energetic constraints using ATP equivalent energy units.
• Applied the general formulation to simulate the dynamics of Multiple Myeloma development.

Main Results:

• The ecological model successfully reproduced patterns of Multiple Myeloma evolution, driven by uncontrolled plasma cell proliferation.
• Identified regime shifts to more dissipative states in malignant plasma cells, indicating a breakdown of self-regulation.
• Simulation transition times (years to decades) align with clinical observations of patient survival.

Conclusions:

• Ecological interactions between plasma cells and the microenvironment offer a potential explanation for the incurable nature of Multiple Myeloma.
• The model provides a basis for constructing more complex ecological models of myeloma and comparing them to ecosystem models.
• This approach highlights the importance of cellular energetics and system-level dynamics in understanding cancer progression.