Abstract
The 1H NMR spectrum of urine exhibits a large number of detectable metabolites and is, therefore, highly suitable for the study of perturbations caused by disease, toxicity, nutrition or environmental factors in humans and animals. However, variations in the chemical shifts and intensities due to altered pH and ionic strength present a challenge in NMR-based studies. With a view towards understanding and minimizing the effects of these variations, we have extensively studied the effects of ionic strength and pH on the chemical shifts of common urine metabolites and their possible reduction using EDTA (ethylenediaminetetraacetic acid). 1H NMR chemical shifts for alanine, citrate, creatinine, dimethylamine, glycine, histidine, hippurate, formate and the internal reference, TSP (trimethylsilylpropionic acid-d4, sodium salt) obtained under different conditions were used to assess each effect individually. EDTA minimizes the frequency shifts of the metabolites that have a propensity for metal binding. Chelation of such metal ions is evident from the appearance of signals from EDTA complexed to divalent metal ions such as calcium and magnesium. Not surprisingly, increasing the buffer concentration or buffer volume also minimizes pH dependent frequency shifts. The combination of EDTA and an appropriate buffer effectively minimizes both pH dependent frequency shifts and ionic strength dependent intensity variations in urine NMR spectra.
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Alum, M. F., Shaw, P. A., Sweatman, B. C., Ubhi, B. K., Haselden, J. N., & Connor, S. C. (2008). 4,4-Dimethyl-4-silapentane-1-ammonium trifluoroacetate (DSA), a promising universal internal standard for NMR-based metabolic studies of biofluids, including blood plasma and serum. Metabolomics, 4, 122–127.
Bales, J. R., Higham, D. P., Howe, I., Nicholson, J. K., & Salder, P. J. (1984). Use of high resolution nuclear magnetic resonance spectroscopy for rapid multi-component analysis of urine. Clinical Chemistry, 30, 426–432.
Beckonert, O., Keun, H. C., Ebbels, T. M. D., Bundy, J., Holmes, E., Lindon, J. C., et al. (2007). Metabolic profiling, metabolomics and metabonomic procedure for NMR spectroscopy of urine, plasma, serum and tissue extracts. Nature Protocols, 2, 2692–2703. doi:10.1038/nprot.2007.376.
Brindle, J. T., Antti, H., Holmes, E., Tranter, G., Nicholson, J. K., Bethell, H. W. L., et al. (2003). Rapid and noninvasive diagnosis of the presence and severity of coronary heart disease using 1H-NMR-based metabonomics. Nature Medicine, 8, 1439–1445. doi:10.1038/nm802.
Carubelli, R., Smith, W. O., & Hammarsten, J. F. (1959). Determination of magnesium and calcium in urine. Clinical Chemistry, 5, 45–49.
Chen, H., Pan, Z., Talaty, N., Raftery, D., & Cooks, R. G. (2006). Combining desorption electrospray ionization mass spectrometry and nuclear magnetic resonance for differential metabolomics without sample preparation. Rapid Communications in Mass Spectrometry, 20, 1577–1584. doi:10.1002/rcm.2474.
Christian, G. D. (2004). Analytical chemistry (6th ed.). Hoboken, NJ: John Wiley& Sons.
Clayton, T. A., Lindon, J. C., Cloarec, O., Antti, H., Charuel, C., Hanton, G., et al. (2006). Pharmaco-metabonomic phenotyping and personalized drug treatment. Nature, 440, 1073–1077. doi:10.1038/nature04648.
Cloarec, O., Dumas, M. E., Trygg, J., Craig, A., Barton, R. H., Lindon, J. C., et al. (2005). Evaluation of the orthogonal projection on latent structure model limitations caused by chemical shift variability and improved visualization of biomarker changes in 1H NMR spectroscopic metabonomic studies. Analytical Chemistry, 77, 517–526. doi:10.1021/ac048803i.
Constantinou, M. A., Papakonstantinou, E., Spraul, M., Sevastiadou, S., Costalos, C., Koupparis, M. A., et al. (2005). 1H NMR-based metabonomics for the diagnosis of inborn errors of metabolism in urine. Analytica Chimica Acta, 542, 169–177. doi:10.1016/j.aca.2005.03.059.
Craig, A., Cloarec, O., Holmes, E., Nicholson, J. K., & Lindon, J. C. (2006). Scaling and normalization effects in NMR spectroscopic metabonomic data sets. Analytical Chemistry, 78, 2262–2267. doi:10.1021/ac0519312.
Gu, H., Chen, H., Pan, Z., Jackson, A. U., Talaty, N., Xi, B., et al. (2007). Monitoring diet effects via biofluids and their implications for metabolomics studies. Analytical Chemistry, 79, 89–97. doi:10.1021/ac060946c.
Holmes, E., Nicholls, A. W., Lindon, J. C., Connor, S. C., Connelly, J. C., Haselden, J. N., et al. (2000). Chemometric models for toxicity classification based on NMR spectra of biofluids. Chemical Research in Toxicology, 13, 471–478. doi:10.1021/tx990210t.
Lauridsen, M., Hansen, S. H., Jaroszewski, J. W., & Cornett, C. (2007). Human urine as test material in 1H NMR-based metabonomics: Recommendations for sample preparation and storage. Analytical Chemistry, 79, 1181–1186.
Lenz, E. M., Bright, J., Wilson, I. D., Hughes, A., Morrisson, J., Lindberg, H., et al. (2004). Metabonomics, dietary influences and cultural differences: A 1H NMR-based study of urine samples obtained from healthy British and Swedish subjects. Journal of Pharmaceutical and Biomedical Analysis, 36, 841–849. doi:10.1016/j.jpba.2004.08.002.
Lindon, J. C., Holmes, E., & Nicholson, J. K. (2004). Metabonomics: Systems biology in pharmaceutical research and development. Current Opinion in Molecular Therapeutics, 6, 265–272.
Lindon, J. C., Holmes, E., & Nicholson, J. K. (2007). Metabonomics in pharmaceutical R & D. The FEBS Journal, 274, 1140–1151. doi:10.1111/j.1742-4658.2007.05673.x.
Lindon, J. C., Nicholson, J. K., & Everett, J. R. (1999). NMR spectroscopy of biofluids. Annual Reports on NMR Spectroscopy, 38, 1–88.
Lindon, J. C., Nicholson, J. K., Holmes, E., & Everett, J. R. (2000). Metabonomics: Metabolic processes studied by NMR spectroscopy of biofluids. Concepts in Magnetic Resonance, 12, 289–320. doi :10.1002/1099-0534(2000)12:5≤289::AID-CMR3≥3.0.CO;2-W.
Lindon, J. C., Nicholson, J. K., Holmes, E., et al. (2005). Summary recommendations for standardization and reporting of metabolic analyses. Nature Biotechnology, 23, 833–838. doi:10.1038/nbt0705-833.
Miyataka, H., Ozaki, T., & Himeno, S. (2007). Effects of pH of 1H-NMR spectroscopy of mouse urine. Biological and Pharmaceutical Bulletin, 30, 667–670. doi:10.1248/bpb.30.667.
Nicholson, J. K., Lindon, J. C., & Holmes, E. (1999). ‘Metabonomics’: Understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data. Xenobiotica, 29, 1181–1189. doi:10.1080/004982599238047.
Odunsi, K., Wollman, R. M., Ambrosone, C. B., Hutson, A., McCann, S. E., Tammela, J., et al. (2005). Detection of epithelial ovarian cancer using 1H-NMR-based metabonomics. International Journal of Cancer, 113, 782–788. doi:10.1002/ijc.20651.
Pan, Z., Gu, H. W., Talaty, N., Chen, H. W., Shanaiah, N., Hainline, B. E., et al. (2007). Principal component analysis of urine metabolites detected by NMR and DESI-MS in patients with inborn errors of metabolism. Analytical and Bioanalytical Chemistry, 387, 539–549. doi:10.1007/s00216-006-0546-7.
Pybus, J. (1969). Determination of calcium and magnesium in serum and urine by atomic absorption spectrophotometry. Clinica Chimica Acta, 23, 309–317. doi:10.1016/0009-8981(69)90046-1.
Reo, N. V. (2002). NMR-based metabolomics. Drug and Chemical Toxicology, 25, 375–382. doi:10.1081/DCT-120014789.
Rezzi, S., Ramadan, Z., Fay, L. B., & Kochhar, S. (2007). Nutritional metabonomics: Applications and perspectives. Journal of Proteome Research, 6, 513–525. doi:10.1021/pr060522z.
Saude, E. J., & Sykes, B. D. (2007). Urine stability for metabolomic studies: Effects of preparation and storage. Metabolomics, 3, 19–27. doi:10.1007/s11306-006-0042-2.
Schlotterbeck, G., Ross, A., Dieterle, F., & Senn, H. (2006). Metabolic profiling technologies for biomarker discovery in biomedicine and drug development. Pharmacogenomics, 7, 1055–1075. doi:10.2217/14622416.7.7.1055.
Shanaiah, N., Desilva, M. A., Nagana Gowda, G. A., Raftery, M. A., Hainline, B. E., & Raftery, D. (2007). Class selection of amino acid metabolites in body Fluids using chemical derivatization and their enhanced 13C NMR. Proceedings of the National Academy of Sciences of the United States of America, 104, 11540–11544. doi:10.1073/pnas.0704449104.
Silwood, C. J. L., Grootveld, M., & Lynch, E. (2002). 1H NMR investigation of the molecular nature of low-molecular mass calcium ions in biofluids. Journal of Biological Inorganic Chemistry, 7, 46–57. doi:10.1007/s007750100264.
Somashekar, B. S., Ijare, O. B., Nagana Gowda, G. A., Ramesh, V., Gupta, S., & Khetrapal, C. L. (2006). Simple pulse-acquire NMR methods for the quantitative analysis of calcium, magnesium and sodium in human serum. Spectrochimica Acta Part A, 65, 254–260. doi:10.1016/j.saa.2005.10.039.
Walsh, M. C., Brennan, L., Malthouse, J. P. G., Roche, H. M., & Gibney, M. J. (2006). Effect of acute dietary standardization on the urinary, plasma, and salivary metabolomic profiles of healthy humans. The American Journal of Clinical Nutrition, 84, 531–539.
Wang, C., Kong, H. W., Guan, Y. F., Yang, J., Gu, J. R., Yang, S. L., et al. (2005). Plasma phospholipid metabolic profiling and biomarkers of type 2 diabetes mellitus based on high-performance liquid chromatography/electrospray mass spectrometry and multivariate statistical analysis. Analytical Chemistry, 77, 4108–4116. doi:10.1021/ac0481001.
Weljie, A. M., Newton, J., Mercier, P., Carlson, E., & Slupsky, C. M. (2006). Targeted profiling: Quantitative analysis of 1H NMR metabolomics data. Analytical Chemistry, 78, 4430–4442. doi:10.1021/ac060209g.
Whitehead, T. L., & Kieber-Emmons, T. (2005). Applying in vitro NMR spectroscopy and 1H NMR metabonomics to breast cancer characterization and detection. Progress in Nuclear Magnetic Resonance Spectroscopy, 47, 165–174. doi:10.1016/j.pnmrs.2005.09.001.
Acknowledgements
This work was supported by the NIH Roadmap Initiative on Metabolomics Technology, Grant NIH/NIDDK 3 R21 DK070290-01 and a Collaborative Biomedical Research Grant from Purdue University/Discovery Park.
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11306_2008_121_MOESM1_ESM.doc
Figure S1: Histograms showing standard deviation values of the chemical shifts for six metabolites alanine (1.46 ppm), citrate (2.52 ppm), glycine (3.54 ppm), creatinine (3.05 ppm), hippurate (7.84 ppm) and formate (8.40 ppm) for samples with different urine to buffer volumes (3:1, 1:1, and 1:2). (DOCX 16 kb)
11306_2008_121_MOESM2_ESM.doc
Figure S2: PCA loadings plot for PC1 and PC2 of 1H NMR spectra of urine samples from donors with different buffer concentrations without EDTA (a and b), and with 2.5 μmol EDTA added (c and d). See Fig. 5 for the PCA scores plots. (DOCX 448 kb)
11306_2008_121_MOESM3_ESM.doc
Figure S3: PCA scores plot of 1H NMR spectra of urine samples with different urine to buffer volumes ratios 3:1, 1:1, and 1:2 (a) without EDTA and (b) with 2.5 μmol EDTA added. Urea and residual water peaks were removed prior to PCA. (DOCX 21 kb)
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Asiago, V.M., Nagana Gowda, G.A., Zhang, S. et al. Use of EDTA to minimize ionic strength dependent frequency shifts in the 1H NMR spectra of urine. Metabolomics 4, 328–336 (2008). https://doi.org/10.1007/s11306-008-0121-7
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DOI: https://doi.org/10.1007/s11306-008-0121-7