NMR-based metabonomic approaches for evaluating physiological influences on biofluid composition
Strategies such as genomics, proteomics and metabonomics are being applied with increasing frequency in the pharmaceutical industry. For each of these approaches, toxicological response can be measured by terms of deviation from control or baseline status. However, in order to accurately define drug...
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Published in | NMR in biomedicine Vol. 18; no. 3; pp. 143 - 162 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Chichester, UK
John Wiley & Sons, Ltd
01.05.2005
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Subjects | |
Online Access | Get full text |
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Summary: | Strategies such as genomics, proteomics and metabonomics are being applied with increasing frequency in the pharmaceutical industry. For each of these approaches, toxicological response can be measured by terms of deviation from control or baseline status. However, in order to accurately define drug‐induced response, it is necessary to characterize the normal degree of physiological variation in the absence of stimuli. Here, 1H NMR spectroscopic‐based analyses of the metabolic composition of urine in experimental animals under various normal physiological conditions are reviewed. In particular, the effects of inter‐animal and diurnal variation, gender, age, diet, species, strain, hormonal status and stress on the biochemical composition of urine are explored. Pattern recognition methods facilitate the comparison of urine NMR spectra over a given time‐course, enabling the establishment of changes in profile and highlighting the dynamic metabolic status of an organism. Thus metabonomic approaches based on information‐rich spectroscopic data sets can be used to evaluate normal physiological variation and for investigation of drug safety issues. Copyright © 2004 John Wiley & Sons, Ltd. |
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Bibliography: | ark:/67375/WNG-6BVR4HCC-H ArticleID:NBM935 istex:D2598EE759B5B3BCDC0E0DDB3B8E38DD16682A5D ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0952-3480 1099-1492 |
DOI: | 10.1002/nbm.935 |