Metabolomics is a powerful tool that can provide a comprehensive insight into the complexity of human biology and the pathophysiology of diseases. By analyzing the metabolome, which refers to the... Show moreMetabolomics is a powerful tool that can provide a comprehensive insight into the complexity of human biology and the pathophysiology of diseases. By analyzing the metabolome, which refers to the complete set of small (endogenous) molecules (with a mass <1500 Da) present within a given biological system, a direct functional read-out of an organism's physiological status can be obtained. In particular, metabolomics has emerged as a promising approach for neuroscience research, as it helps to shed light on the molecular mechanisms underlying neurodegenerative and neuropsychiatric diseases. One of the main challenges in (brain) metabolomics studies is the reliable and sensitive analysis of volume-limited biological samples. Therefore, in this thesis, innovative microscale analytical workflows based on capillary electrophoresis (CE) coupled to mass spectrometry (MS) are developed in order to generate metabolic profiles in volume-restricted samples. The ultimate aim of this thesis is to showcase that the technical reproducibility, detection sensitivity, and metabolic coverage of CE-MS are sufficient to allow use for different material-limited matrices of interest for neuroscience research. Show less
The challenge of achieving fast quantification in metabolomics is the presence of severe matrix effects during the MS analysis of complex samples. Complex samples also result in challenges during... Show moreThe challenge of achieving fast quantification in metabolomics is the presence of severe matrix effects during the MS analysis of complex samples. Complex samples also result in challenges during metabolite identification as complex MS/MS spectra and peak overlap in 1H NMR complicate structure elucidation. The goal of this thesis is to tackle these challenges by the development and application of innovative fractionation approaches and state-of-the-art MS and NMR analyses. Show less
In this thesis, metabolomics is used to study the role of the host-virus interaction on a metabolic level. A special emphasis is directed on the role of inflammation and oxidative stress on... Show more In this thesis, metabolomics is used to study the role of the host-virus interaction on a metabolic level. A special emphasis is directed on the role of inflammation and oxidative stress on the metabolic level, as part of the innate immune response against viral infection. We chose respiratory syncytial virus (RSV) and hepatitis B virus (HBV) as candidate viruses to metabolically study their role in acute respiratory infection and chronic hepatitis B infection. Secondly we also investigated infant metabolic and immunological consequences of in utero exposure to antiretroviral intervention and human immunodeficiency virus (HIV). Collectively, established targeted metabolomics approaches in conjunction with newly developed metabolomics methodologies and complemented with other “omics” techniques, were used to address pertinent questions related to host metabolic functioning and alterations during viral infection. In vitro RSV studies together with in vivo patient based studies relating to chronic HBV infection and in utero exposure too antiretroviral and HIV were used to address these questions. The work is divided into three research parts containing: i. the analytical methodology development work, ii. in vitro based metabolomics and iii. patient based metabolomics. Show less
Metabolomics involves the unbiased quantitative and qualitative analysis of the complete set of metabolites present in cells, body fluids and tissues. Gas chromatography coupled to mass... Show moreMetabolomics involves the unbiased quantitative and qualitative analysis of the complete set of metabolites present in cells, body fluids and tissues. Gas chromatography coupled to mass spectrometry (GC-MS) is very suitable for metabolomics analysis, as it combines high separation power with sensitive and selective mass detection. This thesis is dedicated to the development of reliable quantitative GC-MS based methods for metabolomics analysis. Show less
