Mathematically modelling the dynamics of cholesterol metabolism and ageing

Morgan, A.E.; Mooney, K.M.; Wilkinson, S.J.; Pickles, N.A.; Mc Auley, M.T.

Abstract

Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in the UK. This condition becomes increasingly prevalent during ageing; 34.1% and 29.8% of males and females respectively, over 75 years of age have an underlying cardiovascular problem. The dysregulation of cholesterol metabolism is inextricably correlated with cardiovascular health and for this reason low density lipoprotein cholesterol (LDL-C) and high density lipoprotein cholesterol (HDL-C) are routinely used as biomarkers of CVD risk. The aim of this work was to use mathematical modelling to explore how cholesterol metabolism is affected by the ageing process. To do this we updated a previously published whole-body mathematical model of cholesterol metabolism to include an additional 96 mechanisms that are fundamental to this biological system. Additional mechanisms were added to cholesterol absorption, cholesterol synthesis, reverse cholesterol transport (RCT), bile acid synthesis, and their enterohepatic circulation. The sensitivity of the model was explored by the use of both local and global parameter scans. In addition, acute cholesterol feeding was used to explore the effectiveness of the regulatory mechanisms which are responsible for maintaining whole-body cholesterol balance. It was found that our model behaves as a hypo-responder to cholesterol feeding, while both the hepatic and intestinal pools of cholesterol increased significantly. The model was also used to explore the effects of ageing in tandem with three different cholesterol ester transfer protein (CETP) genotypes. Ageing in the presence of an atheroprotective CETP genotype, conferring low CETP activity, resulted in a 0.6% increase in LDL-C. In comparison, ageing with a genotype reflective of high CETP activity, resulted in a 1.6% increase in LDL-C. Thus, the model has illustrated the importance of CETP genotypes such as I405V, and their potential role in healthy ageing.

Citation

Morgan, A., Mooney, K., Wilkinson, S., Pickles, N., & Mc Auley, M. (2016). Mathematically modelling the dynamics of cholesterol metabolism and ageing. BioSystems, 145, 19-32. https://doi.org/10.1016/j.biosystems.2016.05.001

• Journal Article Type: Article
• Acceptance Date: May 3, 2016
• Online Publication Date: May 6, 2016
• Publication Date: May 24, 2016
• Deposit Date: Aug 22, 2024
• Publicly Available Date: Sep 19, 2024
• Journal: BioSystems
• Print ISSN: 0303-2647
• Electronic ISSN: 1872-8324
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 145
• Pages: 19-32
• DOI: https://doi.org/10.1016/j.biosystems.2016.05.001