An Improved Mathematical Model of Cholesterol Metabolism and Atherosclerotic Cardiovascular Disease

Speaker: Callum Davies
Venue: Online - Microsoft Teams
Date: 27/11/2020 11:30 - 12:30
Audience: Staff, tenants and students interested in research

Abstract

Atherosclerotic Cardiovascular disease (ACVD) is the leading cause of mortality globally. There are an array of risk factors for CVD. However elevated low-density lipoprotein cholesterol (LDL-C), also know as “bad cholesterol” remains the gold standard risk factor. Cholesterol metabolism is maintained by a complex system set of interacting negative feedback systems. The dysregulation of these mechanisms leads to elevated LDL-C. Mathematical models have been widely used to help improve our understanding of this complex system. The first mathematical models were developed in the 1970s by Chemical Engineers at Massachusetts Institute of Technology. Since the 1970s a variety of models have been assembled; all of which have improved our understanding of ACVD. However, no model has fully captured the biological processes which underpin ACVD. The aim of this work is to combine two previously published models in order to create a more integrated mathematical representation ACVD. In so doing we hope to develop a deeper understanding of the relationship between cholesterol metabolism and ACVD.

Speaker's Bio

Callum is an MRes student presenting his research under the supervision of Dr Mark Mc Auley.

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