TY - JOUR
T1 - Assessment of analytical reproducibility of 1H NMR spectroscopy based metabonomics for large-scale epidemiological research
T2 - The INTERMAP study
AU - Dumas, Marc Emmanuel
AU - Maibaum, Elaine C.
AU - Teague, Claire
AU - Ueshima, Hirotsugu
AU - Zhou, Beifan
AU - Lindon, John C.
AU - Nicholson, Jeremy K.
AU - Stamler, Jeremiah
AU - Elliott, Paul
AU - Chan, Queenie
AU - Holmes, Elaine
PY - 2006/4/1
Y1 - 2006/4/1
N2 - Large-scale population phenotyping for molecular epidemiological studies is subject to all the usual criteria of analytical chemistry. As part of a major phenotyping investigation we have used high-resolution 1H NMR spectroscopy to characterize 24-h urine specimens obtained from population samples in Aito Town, Japan (n = 259), Chicago, IL (n = 315), and Guangxi, China (n = 278). We have investigated analytical reproducibility, urine specimen storage procedures, interinstrument variability, and split specimen detection. Our data show that the multivariate analytical reproducibility of the NMR screening platform was >98% and that most classification errors were due to urine specimen handling inhomogeneity. Differences in metabolite profiles were then assessed for Aito Town, Chicago, and Guangxi population samples; novel combinations of biomarkers were detected that separated the population samples. These cross-population differences in urinary metabolites could be related to genetic, dietary, and gut microbial factors.
AB - Large-scale population phenotyping for molecular epidemiological studies is subject to all the usual criteria of analytical chemistry. As part of a major phenotyping investigation we have used high-resolution 1H NMR spectroscopy to characterize 24-h urine specimens obtained from population samples in Aito Town, Japan (n = 259), Chicago, IL (n = 315), and Guangxi, China (n = 278). We have investigated analytical reproducibility, urine specimen storage procedures, interinstrument variability, and split specimen detection. Our data show that the multivariate analytical reproducibility of the NMR screening platform was >98% and that most classification errors were due to urine specimen handling inhomogeneity. Differences in metabolite profiles were then assessed for Aito Town, Chicago, and Guangxi population samples; novel combinations of biomarkers were detected that separated the population samples. These cross-population differences in urinary metabolites could be related to genetic, dietary, and gut microbial factors.
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U2 - 10.1021/ac0517085
DO - 10.1021/ac0517085
M3 - Article
C2 - 16579598
AN - SCOPUS:33645671556
SN - 0003-2700
VL - 78
SP - 2199
EP - 2208
JO - Analytical Chemistry
JF - Analytical Chemistry
IS - 7
ER -