Clinical Metabolomics

Metabolomics as a Tool to Understand Pathophysiological Processes. - Metabolomics in Immunology Research. - LC-MS-Based Metabolomics of Biofluids Using All Ion Fragmentation (AIF) Acquisition. - Lipid Mediator Metabolomics via LC-MS/MS Profiling and Analysis. - UHPSFC/ESI-MS Analysis of Lipids. - LC-MS/MS Analysis of Lipid Oxidation Products in Blood and Tissue Samples. - Serum Testosterone by Liquid Chromatography Tandem Mass Spectrometry for Routine Clinical Diagnostics. - LC-MS/MS Analysis of Bile Acids. - LC-MS/MS Analysis of Triglycerides in Blood-Derived Samples. - LC-MS/MS Analysis of the Epoxides and Diols Derived from the Endocannabinoid Arachidonoyl Ethanolamide. - Sphingolipid Analysis in Clinical Research. - Shotgun Lipidomics Approach for Clinical Samples. - Establishing and Performing Targeted Multi-Residue Analysis for Lipid Mediators and Fatty Acids in Small Clinical Plasma Samples. - Chemical Isotope Labeling LC-MS for Human Blood Metabolome Analysis. - Direct Infusion-Tandem Mass Spectrometry (DI-MS/MS) Analysis of Complex Lipids in Human Plasma & Serum Using the Lipidyzer
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Platform. - Exploratory GC-MS-Based Metabolomics of Body Fluids. - GC-MS Analysis of Short-Chain Fatty Acids in Feces, Cecum Content, and Blood-Derived Samples. - GC-MS Analysis of Medium- and Long-Chain Fatty Acids in Blood Samples. - Analysis of Oxysterols. - Analysis of Metabolites from the Tricarboxylic Acid Cycle for Yeast and Bacteria Samples Using Gas Chromatography Mass Spectrometry. - GC-MS Analysis of Lipid Oxidation Products in Blood, Urine, and Tissue Samples. - Metabolic Profiling of Urine by Capillary Electrophoresis-Mass Spectrometry Using Non-Covalently Coated Capillaries. - CE-MS for the Analysis of Amino Acids. - NMR Analysis of Fecal Samples. - Quantitative Analysis of Central Energy Metabolism in Cell Culture Samples. - Mass Spectrometry Imaging of Metabolites. - Quality Assured Biobanking: The Leiden University Medical Center Model. - Extracting Knowledge from MS Clinical Metabolomic Data: Processing and Analysis Strategies.