4.8 Article

Class selection of amino acid metabolites in body Fluids using chemical derivatization and their enhanced 13C NMR

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NATL ACAD SCIENCES
DOI: 10.1073/pnas.0704449104

关键词

carbon-13; inborn errors of metabolism; metabolite profiling; metabolornics; metabonomics

资金

  1. NIDDK NIH HHS [3 R33 DK070290, R33 DK070290] Funding Source: Medline

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We report a chemical derivatization method that selects a class of metabolites from a complex mixture and enhances their detection by C-13 NMR. Acetylation of amines directly in aqueous medium with 1,1'-C-13(2) acetic anhydride is a simple method that creates a high sensitivity and quantitative label in complex biofluids with minimal sample pretreatment. Detection using either 1D or 2D C-13 NMR experiments produces highly resolved spectra with improved sensitivity. Experiments to identify and compare amino acids and related metabolites in normal human urine and serum samples as well as in urine from patients with the inborn errors of metabolism tyrosinemia type 11, argininosuccinic aciduria, homocystinuria, and phenylketonuria demonstrate the method. The use of metabolite derivatization and C-13 NMR spectroscopy produces data suitable for metabolite profiling analysis of biofluids on a time scale that allows routine use. Extension of this approach to enhance the NMR detection of other classes of metabolites has also been accomplished. The improved detection of low-concentration metabolites shown here creates opportunities to improve the understanding of the biological processes and develop improved disease detection methodologies.

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