AuthorsMc Auley, Mark T.
AffiliationUniversity of Chester
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AbstractAtherosclerotic cardiovascular disease (ASCVD) is the leading cause of morbidity and mortality among Western populations. Many risk factors have been identified for ASCVD; however, elevated low-density lipoprotein cholesterol (LDL-C) remains the gold standard. Cholesterol metabolism at the cellular and whole-body level is maintained by an array of interacting components. These regulatory mechanisms have complex behavior. Likewise, the mechanisms which underpin atherogenesis are nontrivial and multifaceted. To help overcome the challenge of investigating these processes mathematical modeling, which is a core constituent of the systems biology paradigm has played a pivotal role in deciphering their dynamics. In so doing models have revealed new insights about the key drivers of ASCVD. The aim of this review is fourfold; to provide an overview of cholesterol metabolism and atherosclerosis, to briefly introduce mathematical approaches used in this field, to critically discuss models of cholesterol metabolism and atherosclerosis, and to highlight areas where mathematical modeling could help to investigate in the future.
CitationMc Auley, M. (2021). Modelling cholesterol metabolism and atherosclerosis. Wiley Interdisciplinary Reviews (WIREs): Mechanisms of Disease, 14(3), e1546. https://doi.org/10.1002/wsbm.1546
DescriptionThis is the peer reviewed version of the following article: Mc Auley, M. (2021). Modelling cholesterol metabolism and atherosclerosis. Wiley Interdisciplinary Reviews (WIREs): Mechanisms of Disease, 14(3), e1546., which has been published in final form at https://doi.org/10.1002/wsbm.1546. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.
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