Urinary Metabolite Quantification Employing 2D NMR Spectroscopy

被引:108
作者
Gronwald, Wolfram [1 ]
Klein, Matthias S. [1 ]
Kaspar, Hannelore [1 ]
Fagerer, Stephan R. [1 ]
Nuernberger, Nadine [1 ]
Dettmer, Katja [1 ]
Bertsch, Thomas [2 ]
Oefner, Peter J. [1 ]
机构
[1] Univ Regensburg, Inst Funct Gen, D-93053 Regensburg, Germany
[2] Klinikum Nuernberg, Inst Clin Chem Lab Med & Transfus Med, D-90419 Nurnberg, Germany
关键词
D O I
10.1021/ac801627c
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Two-dimensional (2D) nuclear magnetic resonance (NMR) spectroscopy is a fairly novel method for the quantification of metabolites in biological fluids and tissue extracts. We show in this contribution that, compared to 1D H-1 spectra, superior quantification of human urinary metabolites is obtained from 2D H-1-C-13 heteronuclear single-quantum correlation (HSQC) spectra measured at natural abundance. This was accomplished by the generation of separate calibration curves for the different 2D HSQC signals of each metabolite. Lower limits of detection were in the low to mid micromolar range and were generally the lower the greater the number of methyl groups contained in an analyte. The quantitative 2D NMR data obtained for a selected set of 17 urinary metabolites were compared to those obtained independently by means of gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry of amino acids and hippurate as well as enzymatic and colorimetric measurements of creatinine. As a typical application, 2D-NMR was used for the investigation of urine from patients with inborn errors of metabolism.
引用
收藏
页码:9288 / 9297
页数:10
相关论文
共 18 条
[1]  
ADOSRAKU RK, 1994, J LIPID RES, V35, P1925
[2]  
[Anonymous], 2001, Guidance for industry, bioanalytical method validation
[3]   Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts [J].
Beckonert, Olaf ;
Keun, Hector C. ;
Ebbels, Timothy M. D. ;
Bundy, Jacob G. ;
Holmes, Elaine ;
Lindon, John C. ;
Nicholson, Jeremy K. .
NATURE PROTOCOLS, 2007, 2 (11) :2692-2703
[4]   STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT [J].
BLAND, JM ;
ALTMAN, DG .
LANCET, 1986, 1 (8476) :307-310
[5]   1H NMR-based metabonomics for the diagnosis of inborn errors of metabolism in urine [J].
Constantinou, MA ;
Papakonstantinou, E ;
Spraul, M ;
Sevastiadou, S ;
Costalos, C ;
Koupparis, MA ;
Shulpis, K ;
Tsantili-Kakoulidou, A ;
Mikros, E .
ANALYTICA CHIMICA ACTA, 2005, 542 (02) :169-177
[6]   750 MHz H-1 NMR spectroscopy characterisation of the complex metabolic pattern of urine from patients with inborn errors of metabolism: 2-hydroxyglutaric aciduria and maple syrup urine disease [J].
Holmes, E ;
Foxall, PJD ;
Spraul, M ;
Farrant, RD ;
Nicholson, JK ;
Lindon, JC .
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 1997, 15 (11) :1647-1659
[7]   Human metabolic phenotype diversity and its association with diet and blood pressure [J].
Holmes, Elaine ;
Loo, Ruey Leng ;
Stamler, Jeremiah ;
Bictash, Magda ;
Yap, Ivan K. S. ;
Chan, Queenie ;
Ebbels, Tim ;
De Iorio, Maria ;
Brown, Ian J. ;
Veselkov, Kirill A. ;
Daviglus, Martha L. ;
Kesteloot, Hugo ;
Ueshima, Hirotsugu ;
Zhao, Liancheng ;
Nicholson, Jeremy K. ;
Elliott, Paul .
NATURE, 2008, 453 (7193) :396-U50
[8]   Nondestructive quantification of organic compounds in whole milk without pretreatment by two-dimensional NMR spectroscopy [J].
Hu, Fangyu ;
Furihata, Kazuo ;
Kato, Yusuke ;
Tanokura, Masaru .
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2007, 55 (11) :4307-4311
[9]   Automated GC-MS analysis of free amino acids in biological fluids [J].
Kaspar, Hannelore ;
Dettmer, Katja ;
Gronwald, Wolfram ;
Oefner, Peter J. .
JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES, 2008, 870 (02) :222-232
[10]   Method for determining molar concentrations of metabolites in complex solutions from two-dimensional 1H-13C NMR spectra [J].
Lewis, Ian A. ;
Schommer, Seth C. ;
Hodis, Brendan ;
Robb, Kate A. ;
Tonelli, Marco ;
Westler, William M. ;
Suissman, Michael R. ;
Markley, John L. .
ANALYTICAL CHEMISTRY, 2007, 79 (24) :9385-9390