Assessment of analytical reproducibility of 1H NMR spectroscopy based metabonomics for large-scale epidemiological research: The INTERMAP study

Marc Emmanuel Dumas*, Elaine C. Maibaum, Claire Teague, Hirotsugu Ueshima, Beifan Zhou, John C. Lindon, Jeremy K. Nicholson, Jeremiah Stamler, Paul Elliott, Queenie Chan, Elaine Holmes

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

274 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)2199-2208
Number of pages10
JournalAnalytical Chemistry
Volume78
Issue number7
DOIs
StatePublished - Apr 1 2006

ASJC Scopus subject areas

  • Analytical Chemistry

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