Applying lipidomics strategies to study lipid metabolic diseases

Lipids are groups of metabolites that have very variable crucial physiological roles. The pattern of distribution and composition of lipid species in different biological materials could provide valuable information about health status and disease development. Lipidomics refers to the promising omics-technology that allows us to get access to this important information. It combines sophisticated analytical techniques primarily based on mass spectrometry and advanced software tools. In this thesis, we addressed the current concerns in pre-analytical stages of lipidomics approaches, and established an untargeted lipidomics workflow for different biological applications. In addition, we applied the lipidomics strategies to elucidate the sophisticated relationships between lipid profiles and various metabolic disorders including extreme dyslipidaemia, inborn error disease of medium-chain acyl-CoA dehydrogenase (MCAD) deficiency and non-alcoholic steatohepatitis. At last, we highlighted the remaining technical and post-analytical challenges and opportunities of integrating lipidomics with other omics techniques for clinical research and in the clinical work-up of patients with an undiagnosed disease.

Dissertation: http://hdl.handle.net/11370/817240ba-9f4c-4f24-b40e-403411495db3