Bidirectional correlation of NMR and capillary electrophoresis fingerprints: A new approach to investigating Schistosoma mansoni infection in a mouse model
Bidirectional correlation of NMR and capillary electrophoresis fingerprints: A new approach to investigating Schistosoma mansoni infection in a mouse model
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.
Garcia-Perez, I.
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Couto Alves, A.
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Angulo, S.
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Ll, J.V.
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Utzinger, J.
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Ebbels, T.M.D.
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Legido-Quigley, C.
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Nicholson, J.K.
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Holmes, E.
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Barbas, C.
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2010
Garcia-Perez, I.
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Couto Alves, A.
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Angulo, S.
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Ll, J.V.
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Utzinger, J.
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Ebbels, T.M.D.
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Legido-Quigley, C.
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Nicholson, J.K.
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Holmes, E.
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Barbas, C.
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Garcia-Perez, I., Couto Alves, A., Angulo, S., Ll, J.V., Utzinger, J., Ebbels, T.M.D., Legido-Quigley, C., Nicholson, J.K., Holmes, E. and Barbas, C.
(2010)
Bidirectional correlation of NMR and capillary electrophoresis fingerprints: A new approach to investigating Schistosoma mansoni infection in a mouse model.
Analytical Chemistry, 82 (1).
(doi:10.1021/ac901728w).
Abstract
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.
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e-pub ahead of print date: 4 December 2009
Published date: 2010
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Local EPrints ID: 494734
URI: http://eprints.soton.ac.uk/id/eprint/494734
ISSN: 0003-2700
PURE UUID: 15b9eba1-6a3b-413d-bfa1-d991133e2e67
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Date deposited: 14 Oct 2024 17:09
Last modified: 15 Oct 2024 02:11
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Author:
I. Garcia-Perez
Author:
A. Couto Alves
Author:
S. Angulo
Author:
J.V. Ll
Author:
J. Utzinger
Author:
T.M.D. Ebbels
Author:
C. Legido-Quigley
Author:
J.K. Nicholson
Author:
C. Barbas
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