Dynamic system-wide mass spectrometry based metabolomics approach for a new Era in drug research

Abstract

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 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