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A Modular Mathematical Model of Exercise-Induced Changes in Metabolism, Signaling, and Gene Expression in Human
Ilya R Akberdin1,2,3,4, Ilya N Kiselev1,2,5, Sergey S Pintus1,2,5
1Department of Computational Biology, Scientific Center for Information Technologies and Artificial Intelligence, Sirius University of Science and Technology, 354340 Sochi, Russia.
International Journal of Molecular Sciences
|October 13, 2021
Summary
This study developed a computational model to understand how exercise affects skeletal muscle metabolism and gene expression. It reveals crucial links between metabolic changes, signaling pathways, and genetic responses during physical activity.
Area of Science:
- Exercise Physiology
- Computational Biology
- Molecular Biology
Background:
- Skeletal muscle is key to exercise metabolism.
- Metabolites from exercise activate signaling and gene expression.
- Systematic understanding of these interrelations is lacking.
Purpose of the Study:
- To create a computational model of skeletal muscle.
- To integrate energy metabolism, Ca2+ and AMPK signaling pathways.
- To link these to gene expression regulation.
Main Methods:
- Developed a physiologically based computational model.
- Used a modular modeling approach with 171 differential equations.
- Integrated energy metabolism, Ca2+, and AMPK signaling.
Main Results:
- The model simulates metabolic, signaling, and gene expression.
- It includes early and delayed gene responses.
- Validated on experimental data and diverse exercise modes.
Conclusions:
- The model provides a platform to study skeletal muscle.
- It helps decipher cause-effect relationships in exercise.
- Enables in silico tracking of metabolic and genetic regulation.
Keywords:
BioUMLCa2+-dependent signaling pathwayRNA sequencingmathematical modelphysical exerciseregulation of expressionskeletal muscletranscriptomeMore Related Videos
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