2005
DOI: 10.1016/j.jnutbio.2004.12.005
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Biofluid 1H NMR-based metabonomic techniques in nutrition research — metabolic effects of dietary isoflavones in humans

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Cited by 146 publications
(137 citation statements)
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“…Increased excretion of TMAO has been reported after consumption of fish (45) and diets with high salt content (31). It has also been found that menstruation may lead to a significant reduction in the TMAO/trimethylamine ratio in female urine (46).…”
Section: Discussionmentioning
confidence: 99%
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“…Increased excretion of TMAO has been reported after consumption of fish (45) and diets with high salt content (31). It has also been found that menstruation may lead to a significant reduction in the TMAO/trimethylamine ratio in female urine (46).…”
Section: Discussionmentioning
confidence: 99%
“…Several studies have investigated the influence of physiological variation in the urine metabolic pattern of healthy human subjects using NMR-based metabonomic techniques, providing information on factors that exhibit notable variation (29)(30)(31)(32)(33). Lenz and coworkers (29) studied the intra-and inter-subject variability of the plasma and urine metabolic profiles of 12 healthy male subjects and evaluated the influence of the timing of the collection of the urine sample.…”
Section: Introductionmentioning
confidence: 99%
“…Examples would be the effect of meat and fish consumption on the risk of colorectal cancer, metabolic differences in the intake of green and black tea or the metabolic effects of dietary isoflavones in humans [4][5][6][7][8][9][10][11]. However, directly associating genes or lifestyle habits with clinical endpoints provides only limited information about the underlying disease-causing mechanisms.…”
Section: Introductionmentioning
confidence: 99%
“…These fingerprints can be interpreted and classified according to disease status by using multivariate statistical analysis (13). Although metabonomics has been successfully used in many fields, e.g., in the study of disease processes (14,15) and dietary intervention (16,17), the application of this technology to characterize parasitic diseases is still in its infancy.…”
mentioning
confidence: 99%