Conversion of fat to cellular fuel—Fatty acids 𝛽-oxidation model

Authors

Sylwester M. Kloska, Nicolaus Copernicus University Ludwik Rydygier Collegium Medicum
Krzysztof Pałczyński, Bydgoszcz University of Science and Technology
Tomasz Marciniak, Bydgoszcz University of Science and Technology
Tomasz Talaśka, Bydgoszcz University of Science and Technology
Marissa Miller, University of Nebraska-LincolnFollow
Beata J. Wysocki, University of Nebraska at Omaha
Paul Davis, University of Nebraska at Omaha
Tadeusz A. Wysocki, Bydgoszcz University of Science and Technology, University of Nebraska-LincolnFollow

Date of this Version

3-29-2023

Citation

Computational Biology and Chemistry 104 (2023) 107860. https://doi.org/10.1016/j.compbiolchem.2023.107860

Comments

Open access.

Abstract

𝛽-oxidation of fatty acids plays a significant role in the energy metabolism of the cell. This paper presents a 𝛽-oxidation model of fatty acids based on queueing theory. It uses Michaelis–Menten enzyme kinetics, and literature data on metabolites’ concentration and enzymatic constants. A genetic algorithm was used to optimize the parameters for the pathway reactions. The model enables real-time tracking of changes in the concentrations of metabolites with different carbon chain lengths. Another application of the presented model is to predict the changes caused by system disturbance, such as altered enzyme activity or abnormal fatty acid concentration. The model has been validated against experimental data. There are diseases that change the metabolism of fatty acids and the presented model can be used to understand the cause of these changes, analyze metabolites abnormalities, and determine the initial target of treatment.