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[Mathematical Modeling of the Intracellular Regulation of Immune Processes]
D S Grebennikov1,2, D O Donets1, O G Orlova1
1Moscow Institute of Physics and Technology (National Research University), Dolgoprudny, Moscow Region, 141701 Russia.
Molekuliarnaia Biologiia
|October 30, 2019
Summary
Mathematical modeling advances systems immunology by creating multiscale models of the human immune system. This approach integrates intracellular, population, and systemic processes for a comprehensive understanding of immune responses.
Area of Science:
- Immunology
- Mathematical Biology
- Systems Biology
Background:
- Modern immunology research reveals intricate details of immune system structure and regulation.
- The immune system functions as a complex distributed-parameter system.
- Mathematical modeling offers a reductionist approach to analyze immune response dynamics.
Purpose of the Study:
- To formulate multiscale mathematical models of the human immune system.
- To reflect the current understanding of immune system structure and function.
- To address challenges in modern systems and mathematical immunology.
Main Methods:
- Systematic development of multiscale mathematical models.
- Integration of intracellular, population dynamics, and systemic immunophysiological processes.
- Review of studies modeling intracellular regulatory networks.
Main Results:
- Proposed methodology considers immune cell fate regulation (activation, division, differentiation, apoptosis, migration).
- Focus on multiscale modeling from intracellular to systemic levels.
- Highlights the complexity and high dimensionality of regulatory networks.
Conclusions:
- Multiscale mathematical models are crucial for advancing systems immunology.
- Parsimonious descriptions of signaling pathways and regulatory loops are needed.
- Mathematical immunology provides tools to analyze and predict immune system behavior.
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