Abstract:
Throughout the recent years, the field of metabolomics has seen interest from the life science community, as it is able to provide valuable information about the quantitative and qualitative alterations of endogenous polar metabolites upon specific perturbations. Coupled with the substantial technological innovations in mass spectrometry (MS) over the last decades, MS-based metabolomics has attained the role of a valuable tool in bioanalysis and diagnosis, enabling us to detect the early manifestations of certain diseases and metabolic disorders and their progress. The aim of this thesis was to develop new methods and optimize existing workflows for metabolomics in clinical bioanalysis. On the one hand, the focus was to improve both targeted and untargeted assays, which allow broad metabolite profiling in each sample. Focus was laid upon the quantification capabilities of such assays, whilst at the same time allowing broad metabolite coverage. The developed methods were implemented in various types of biological matrix (cell culture, plasma and urine) and successfully displayed the desired outcome.