Cardiovascular diseases are the leading cause of death worldwide, with atherosclerosis as most common underlying pathology. Atherosclerosis is characterized by arterial narrowing due to cholesterol... Show moreCardiovascular diseases are the leading cause of death worldwide, with atherosclerosis as most common underlying pathology. Atherosclerosis is characterized by arterial narrowing due to cholesterol and lipid accumulation. Despite available effective cholesterol lowering medication, considerable risk for recurrent vascular events remains. This residual risk is at least in part explained by high blood lipid levels. The research described in this thesis revealed novel therapeutic strategies that improve lipid metabolism and reduce atherosclerosis development in mice. Inhibition of the endocannabinoid system was found to be an effective strategy, as well as concomitant activation of two incretin hormone receptors, namely those for GIP and GLP1. For combined GIP/GLP1 receptor agonism we additionally showed strongly attenuated hepatic steatosis. We were also able to identify additional targets to attenuate hyperlipidemia by studying the mechanisms underlying the strong day-night rhythm of brown adipose tissue, which is a lipid combusting tissue. In this thesis, I also stress the importance of the choice in animal model when studying lipid-modifying interventions, and describe the development of the software tool RandoMice which can be used to improve the quality of preclinical studies by creating well-balanced experimental groups. Show less
The aim of the thesis was to develop metabolic analytical platforms for static and dynamic measurements that could answer biological questions for in vitro and in vivo animal models in the area of... Show moreThe aim of the thesis was to develop metabolic analytical platforms for static and dynamic measurements that could answer biological questions for in vitro and in vivo animal models in the area of lipid research. Gene profiling together with the transcriptome and metabolome data was used in combination with the LC/MS analytical platform. In terms of the analytical platforms developed, the focus was on high resolution LC/MS but not limited, as amalgamation with other platforms such as gradient gel electrophoresis (GGE) and fast protein liquid chromatography (FPLC) were explored in more detail to investigate the lipid composition of lipoprotein particles. These analytical strategies were applied to different lipid modulating biological targets as a mean to obtaining a more detailed and characteristic phenotype description directing decisions in drug search during the drug discovery process on the basis of the analytical results obtained. Additionally, the utilization of metabolic tracers was investigated further to probe dynamic changes in the biological target and animal models in question Show less
