Bidirectional correlation of NMR and capillary electrophoresis fingerprints: a new approach to investigating Schistosoma mansoni infection in a mouse model
| Autor: | Elaine Holmes, Cristina Legido-Quigley, Santiago Angulo, Coral Barbas, J. V. Li, Jürg Utzinger, A. Couto Alves, Timothy M. D. Ebbels, J. K. Nicholson, Isabel Garcia-Perez |
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| Rok vydání: | 2009 |
| Předmět: |
biology
Metabolite Electrophoresis Capillary Isocitric acid Nuclear magnetic resonance spectroscopy Schistosoma mansoni Urine biology.organism_classification Schistosomiasis mansoni Analytical Chemistry Correlation chemistry.chemical_compound Mice Capillary electrophoresis chemistry Biochemistry Animals Female Glucuronide Nuclear Magnetic Resonance Biomolecular Statistical correlation Biomarkers |
| Zdroj: | Analytical chemistry. 82(1) |
| ISSN: | 1520-6882 |
| Popis: | We demonstrate the statistical integration of nuclear magnetic resonance (NMR) spectroscopy and capillary electrophoresis (CE) data in order to describe a pathological state caused by Schistosoma mansoni infection in a mouse model based on urinary metabolite profiles. Urine samples from mice 53 days post infection with S. mansoni and matched controls were analyzed via NMR spectroscopy and CE. The two sets of metabolic profiles were first processed and analyzed independently and were subsequently integrated using statistical correlation methods in order to facilitate cross assignment of metabolites. Using this approach, metabolites such as 3-ureidopropionate, p-cresol glucuronide, phenylacetylglycine, indoxyl sulfate, isocitrate, and trimethylamine were identified as differentiating between infected and control animals. These correlation analyses facilitated structural elucidation using the identification power of one technique to enhance and validate the other, but also highlighted the enhanced ability to detect functional correlations between metabolites, thereby providing potential for achieving deeper mechanistic insight into the biological process. |
| Databáze: | OpenAIRE |
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