Osteoarthritis is one of the most common musculoskeletal disorders. Despite its high prevalence, the pathogenesis of osteoarthritis is incompletely understood. A major risk factor for... Show moreOsteoarthritis is one of the most common musculoskeletal disorders. Despite its high prevalence, the pathogenesis of osteoarthritis is incompletely understood. A major risk factor for osteoarthritis is obesity. Not only due to increased mechanical stress, but also due to systemic factors such as lipids. Our knowledge on how lipids are involved in osteoarthritis is limited. Therefore, this thesis focusses on the association of lipids with hand and knee osteoarthritis. Firstly, we investigated the reproducibility of lipid measurements to guide future lipidomic research. Subsequently, comparison of the lipid profile of osteoarthritis patients in different disease stages showed that the lipid profile explained disease severity to a limited extent. We observed the strongest association of the lipid profile with hand pain, and no association with knee osteoarthritis. This suggests that lipotoxicity may play a larger role in the hand, while in the knee mechanical stress is more relevant. In addition, treatment with anti-inflammatory medication resulted in a change in lipid concentrations in patients with hand osteoarthritis, suggesting that lipids are involved in inflammation and/or pain processes. These insights may increase our understanding of osteoarthritis pathophysiology and lead to new targets for future development of disease modifying osteoarthritis medication. Show less
The introduction of systems biology in combination with the profiling of numerous biochemical components (e.g. lipid metabolites, herbal products) enables the study of living systems from a... Show moreThe introduction of systems biology in combination with the profiling of numerous biochemical components (e.g. lipid metabolites, herbal products) enables the study of living systems from a holistic perspective. In this thesis we explored systems biology-based platforms to investigate the therapeutic effects of chemical drugs and herbal medicines on animal models with high-fat diet-induced obesity and genetic manipulated diabetes. The aim of the work was to better understand the working mechanisms of both treatments on metabolic syndrome from a holistic point of view and to evaluate the potentials of __omics__ technologies to this effort. Our results showed that lipidomics approach with appropriate bioinformatics tools are essential to describe the global, dynamic metabolic response of living systems, e.g. from homeostasis via sub-optimal health and ultimately to dysfunction. These studies pointed hints to disco ver lipid biomarkers in relation to health promotion and disease prevention and facilitated the understanding of the complex regulatory mechanisms in humans or animals. Particularly, the introduction of the systems biology view will not only provide in-depth insights into the multi-target synergetic effects (which have hardly been used in modern drug discovery) but also can bridge Chinese Medicine (multi-target therapy) and Western Medicine (molecular pharmacology). Show less
