Assessment of Analytical Reproducibility of 1H NMR Spectroscopy Based Metabonomics for Large-Scale Epidemiological Research: the INTERMAP Study
| Autor: | Hirotsugu Ueshima, Jeremiah Stamler, Elaine Holmes, Jeremy K. Nicholson, Marc-Emmanuel Dumas, Paul Elliott, Queenie Chan, Beifan Zhou, Elaine Maibaum, John Christopher Lindon, Claire Teague |
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| Rok vydání: | 2006 |
| Předmět: |
Genetic Markers
China 1h nmr spectroscopy Magnetic Resonance Spectroscopy Time Factors Urinalysis Population Analytical chemistry High resolution Urine Sensitivity and Specificity Article Specimen Handling Analytical Chemistry Japan medicine Humans Cities education Reproducibility education.field_of_study Chromatography medicine.diagnostic_test Extramural Chemistry Reproducibility of Results United States Cross-Sectional Studies Phenotype Multivariate Analysis Urine specimen Biomarkers |
| Zdroj: | Analytical Chemistry. 78:2199-2208 |
| ISSN: | 1520-6882 0003-2700 |
| DOI: | 10.1021/ac0517085 |
| Popis: | Large-scale population phenotyping for molecular epide- miological studies is subject to all the usual criteria of analytical chemistry. As part of a major phenotyping investigation we have used high-resolution (1)H NMR spectroscopy to characterize 24-h urine specimens ob- tained 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 vari- ability, 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 inhomoge- neity. Differences in metabolite profiles were then as- sessed 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. |
| Databáze: | OpenAIRE |
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