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Metabonomics: metabolic processes studied by NMR spectroscopy of biofluids

Metabonomics: metabolic processes studied by NMR spectroscopy of biofluids

Lindon, John C., Nicholson, Jeremy K., Holmes, Elaine and Everett, Jeremy R. (2000) Metabonomics: metabolic processes studied by NMR spectroscopy of biofluids. Concepts in Magnetic Resonance, 12 (5). pp. 289-320. ISSN 1552-5023 (online) (doi:10.1002/1099-0534(2000)12:5<289::AID-CMR3>3.0.CO;2-W)

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Abstract

NMR spectroscopy of biofluids provides a wealth of information on the endogenous metabolic processes in an organism. Details of the various types of biofluid and
the types of NMR experiment which are useful are given. The features of biofluid NMR spectra are described and practical details of spectral acquisition are also presented. However, the spectra are very complex and many resonances have not been assigned. Therefore, in order to focus on significant differences between a set of spectra from control organisms and from abnormals (e.g., humans with diseases or animals in toxic situations), recourse is made to pattern recognition or chemometric methods. This is exemplifed using NMR spectra of a number of different biofluids such as urine, blood plasma, and cerebrospinal
fluid. This approach is encapsulated in the concept of metabonomics, a subject which can be regarded as complementary to studies of the genome (genomics) and the
proteins in an organism (proteomics). Metabonomics is defined as "the quantitative measurement of the multiparametric metabolic response of living systems to pathophysiological stimuli or genetic modification."

Item Type: Article
Uncontrolled Keywords: NMR spectroscopy, biofluids, metabolites, pattern recognition, chemometrics, classification, toxicity, metabonomics, disease
Subjects: Q Science > QD Chemistry
Faculty / Department / Research Group: Faculty of Engineering & Science > Department of Pharmaceutical, Chemical & Environmental Sciences
Related URLs:
Last Modified: 17 Oct 2016 09:12
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/8972

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