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A mathematical model of the sterol regulatory element binding protein 2 cholesterol biosynthesis pathway

Bhattacharya, B. S., Sweby, P. K. ORCID: https://orcid.org/0009-0003-8488-0251, Minihane, A.-M., Jackson, K. G. ORCID: https://orcid.org/0000-0002-0070-3203 and Tindall, M. J. (2014) A mathematical model of the sterol regulatory element binding protein 2 cholesterol biosynthesis pathway. Journal of Theoretical Biology, 349. pp. 150-162. ISSN 0022-5193

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To link to this item DOI: 10.1016/j.jtbi.2014.01.013

Abstract/Summary

Cholesterol is one of the key constituents for maintaining the cellular membrane and thus the integrity of the cell itself. In contrast high levels of cholesterol in the blood are known to be a major risk factor in the development of cardiovascular disease. We formulate a deterministic nonlinear ordinary differential equation model of the sterol regulatory element binding protein 2 (SREBP-2) cholesterol genetic regulatory pathway in an hepatocyte. The mathematical model includes a description of genetic transcription by SREBP-2 which is subsequently translated to mRNA leading to the formation of 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMGCR), a main precursor of cholesterol synthesis. Cholesterol synthesis subsequently leads to the regulation of SREBP-2 via a negative feedback formulation. Parameterised with data from the literature, the model is used to understand how SREBP-2 transcription and regulation affects cellular cholesterol concentration. Model stability analysis shows that the only positive steady-state of the system exhibits purely oscillatory, damped oscillatory or monotic behaviour under certain parameter conditions. In light of our findings we postulate how cholesterol homestasis is maintained within the cell and the advantages of our model formulation are discussed with respect to other models of genetic regulation within the literature.

Item Type:Article
Refereed:Yes
Divisions:Interdisciplinary centres and themes > Institute for Cardiovascular and Metabolic Research (ICMR)
Life Sciences > School of Biological Sciences > Biomedical Sciences
Science > School of Mathematical, Physical and Computational Sciences > Department of Mathematics and Statistics
Life Sciences > School of Chemistry, Food and Pharmacy > Department of Food and Nutritional Sciences > Human Nutrition Research Group
ID Code:36173
Uncontrolled Keywords:Genetic regulation; Transcription factor; Nonlinear ordinary differential equation; SREBP-2
Publisher:Elsevier

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