In this thesis, the role of the liver and lungs in atherosclerosis development were studied. The liver plays an important role in lipid metabolism and inflammation, the two main processes involved... Show moreIn this thesis, the role of the liver and lungs in atherosclerosis development were studied. The liver plays an important role in lipid metabolism and inflammation, the two main processes involved in atherogenesis. We show that continuous enhanced inflammation in hepatocytes increased the hepatic production of VLDL and aggravated atherosclerosis development in hyperlipidemic APOE*3-Leiden (E3L) mice as compared to control E3L mice. Poor lung function, most commonly caused by chronic obstructive pulmonary disease (COPD), is a risk factor for atherosclerosis development. To this end, we investigated whether elastase-induced alveolar wall destruction, a model for COPD, would worsen atherosclerosis development in E3L mice. No difference in atherosclerotic lesion size was observed between mice after elastase or vehicle instillation, indicating that alveolar destruction per se is not responsible for the increased risk for atherosclerosis in COPD patients. Furthermore, we studied the anti-atherosclerotic effects of resveratrol which can be found in red wine and Asian medicinal herbs. Hyperlipidemic E3L.CETP mice were fed a diet without (control) or with resveratrol, atorvastatin, or both. Resveratrol protected against atherosclerosis development, but did not add to the anti-atherogenic effects of atorvastatin. Finally, the clinical implications and future perspectives of these results are discussed. Show less
The concept of distance is a fundamental notion that forms a basis for the orientation in space. It is related to the scientific measurement process: quantitative measurements result in numerical... Show moreThe concept of distance is a fundamental notion that forms a basis for the orientation in space. It is related to the scientific measurement process: quantitative measurements result in numerical values, and these can be immediately translated into distances. Vice versa, a set of mutual distances defines an abstract Euclidean space. Each system is thereby represented as a point, whose Euclidean distances approximate the original distances as close as possible. If the original distance measures interesting properties, these can be found back as interesting patterns in this space. This idea is applied to complex systems: The act of breathing, the structure and activity of the brain, and dynamical systems and time series in general. In all these situations, optimal transportation distances are used; these measure how much work is needed to transform one probability distribution into another. The reconstructed Euclidean space then permits to apply multivariate statistical methods. In particular, canonical discriminant analysis makes it possible to distinguish between distinct classes of systems, e.g., between healthy and diseased lungs. This offers new diagnostic perspectives in the assessment of lung and brain diseases, and also offers a new approach to numerical bifurcation analysis and to quantify synchronization in dynamical systems. Show less
