2003
DOI: 10.1016/j.ab.2003.08.028
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Application of biofluid 1H nuclear magnetic resonance-based metabonomic techniques for the analysis of the biochemical effects of dietary isoflavones on human plasma profile

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Cited by 187 publications
(148 citation statements)
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“…The first published study in which a metabolomics approach was described in a human nutrition experiment used NMR technology to monitor the effect of supplementing the diet with soy [53]. Only a small number of plasma samples were available and there was considerable inter-person variability but, despite these limitations, careful data pre-processing in combination with powerful discriminatory analysis grouped the samples into two main classes that reflected the dietary intervention.…”
Section: Metabolomics Approaches Applied To Measurement Of Dietary Exmentioning
confidence: 99%
“…The first published study in which a metabolomics approach was described in a human nutrition experiment used NMR technology to monitor the effect of supplementing the diet with soy [53]. Only a small number of plasma samples were available and there was considerable inter-person variability but, despite these limitations, careful data pre-processing in combination with powerful discriminatory analysis grouped the samples into two main classes that reflected the dietary intervention.…”
Section: Metabolomics Approaches Applied To Measurement Of Dietary Exmentioning
confidence: 99%
“…Differences in diet can affect the metabolites identified in body fluids. [59][60][61][62] Salicyluric and salicylic acids are examples of compounds that are excreted in urine in higher concentrations in vegetarians than in omnivores. 59) Several of the compounds we have identified in fecal water could be of plant origin.…”
Section: )mentioning
confidence: 99%
“…Metabonomics has become a well established analytical tool with successful applications in different fields, e.g., the study of disease processes and drug toxicity (15)(16)(17)(18), and detection of metabolites of inborn errors (19). Recent technological advances have enabled analysis of more subtle metabolic responses to challenges such as nutritional intervention (20), variation in hormonal cycles (21), gender differences, and diurnal variation (22). Moreover, this technology has the ability to differentiate phenotypes of experimental animal models (22).…”
mentioning
confidence: 99%