PhD thesis

Computational Modeling of Lipoprotein Metabolism
to Improve Cardiovascular Risk Prediction

by

Daniël Bernardus van Schalkwijk

Promotor:

Prof. Dr. Jan van der Greef

Copromotor:

Dr. Ir. Albert Arjaan de Graaf

Financial support

The research presented in this PhD thesis was supported by the Netherlands Bioinformatics Centre, NBIC-BioRange I programme SP3.3.1 “Phenotyping clustering of multi-factorial diseases” Project SP3.3.1.4 “Particle Profiler computational model of lipoprotein metabolism”, and by TNO.

This webpage contains links to all parts of my PhD thesis that are available online. 

A digital version of the booklet is freely available in pdf-form from the Leiden University Library.

Stellingen (twelve propositions)

Part 1: Model development

(Poem)

Chapter 1: Introduction 

Chapter 2: Improved cholesterol phenotype analysis by a model relating lipoproteinlifecycle processes to particle size. 28

Chapter 3: Diagnostic Markers basedon a Computational Model of Lipoprotein Metabolism   57

Part 2: Model application

(Poem)

Chapter 4: Dietary Medium Chain Fatty Acid Supplementation Leads to Reduced VLDL Lipolysis and Uptake Rates in Comparison to Linoleic Acid Supplementation. 89

Chapter 5: Clustering by plasmalipoprotein profile reveals two distinct subgroups with positive lipid responseto fenofibrate therapy. 114

Chapter 6: Lipoprotein metabolism indicators improve cardiovascular risk prediction 

Part 3: Reflection

(Poem)

Chapter 7: Developing computationalmodel-based diagnostics to analyze clinical chemistry data  154

General discussion

Summary

Popular take-home message 

Nederlandse Samenvatting

Beknopte populaire samenvatting

Curriculum Vitae. 202

Unofficial

Dankwoord