Lipidomics study in liver metabolic diseases

Singh, M. (2024)

Doctoral Thesis

The ideas underlying this thesis are that lipidomics may improve the diagnosis of liver metabolic diseases, and can provide further insights into the underlying pathophysiology of these diseases. However to achieve this, the measurement of lipids should be further improved by enabling comprehensive coverage, accurate identification and quantitation. Therefore, in this thesis, new analytical methodologies using LC-MS for the accurate detection and quantitation of lipids are developed. These methods are then applied to MCADD samples to identify lipid biomarkers, which are further correlated with gene expression analysis to understand the underlying biochemical pathways.

• Lipidomics
• In-born errors
• LC-MS
• HILIC
• Metabolomics
• MCADD
• Metabolic disorders
• In-vitro models
• Acyl-CoA

• All authors: Singh, M.
• Supervisor: Hankemeier, T.
• Co-supervisor: Harms, A.C.
• Committee: Irth, H.; Lange, E.C.M. de; Aerts, J.M.F.G.; Spiekerkötter, U.; Ramos Molina, B.: Vaz, F.
• Qualification: Doctor (dr.)
• Awarding Institution: Leiden Academic Centre for Drug Research (LACDR), Faculty of Science, Leiden University
• Date: 2024-06-13
• ISBN (print): 9789493289505