Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 414946
Title A physiologically based kinetic model for the prediction of plasma cholesterol concentrations in mice and man
Author(s) Pas, N. van de
Source University. Promotor(en): Ivonne Rietjens; Ruud Woutersen, co-promotor(en): A.A. de Graaf. - [S.l.] : S.n. - ISBN 9789461731258
Department(s) Sub-department of Toxicology
VLAG
Publication type Dissertation, internally prepared
Publication year 2011
Keyword(s) cholesterolmetabolisme - klaring (plasma) - dierfysiologie - mannen - cholesterol metabolism - clearance - animal physiology - men
Categories Toxicology (General) / Comparative Physiology
Abstract

An increased plasma cholesterol concentration is associated with increased risk of cardiovascular disease. However, individuals vary largely in their response to cholesterol lowering drugs and 40% of them, do not reach their cholesterol-lowering target. Development of novel therapies, for example combinations of existing drugs, can be accelerated by more mechanistic understanding of cholesterol metabolism. This understanding can be improved using computational models.

This thesis describes the development, validation, and analysis of a physiologically based kinetic (PBK) model for the prediction of plasma cholesterol concentrations in humans. For this purpose, first a PBK model for the mouse was set up, calibrated and validated, using ensemble modeling. Then the mouse model was converted to a model for humans. It describes the 21 most influential physiological reactions affecting cholesterol concentrations in 8 pools, including liver, HDL, and non-HDL. The model was parameterized using literature data and validated using clinical data for human mutations and drug interventions, taken from literature.

The model was applied to find properties that determine the individual response to drugs. The processes: hepatic cholesterol synthesis, peripheral cholesterol synthesis, and hepatic cholesterol esterification were major determinants of the non-HDL-C response to the cholesterol-lowering drug pravastatin.

We conclude that plasma cholesterol concentrations and effects of genetic polymorphisms and drugs thereupon can be predicted in silico and thatPBK modeling can provide novel mechanistic insights.

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