NMR metabolite quantification of a synthetic urine sample: an inter-laboratory comparison of processing workflows
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Published:2023-07-07
Issue:7
Volume:19
Page:
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ISSN:1573-3890
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Container-title:Metabolomics
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language:en
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Short-container-title:Metabolomics
Author:
Canlet Cécile, Deborde Catherine, Cahoreau Edern, Da Costa Grégory, Gautier Roselyne, Jacob Daniel, Jousse Cyril, Lacaze Mélia, Le Mao Inès, Martineau Estelle, Peyriga Lindsay, Richard Tristan, Silvestre Virginie, Traïkia Mounir, Moing AnnickORCID, Giraudeau PatrickORCID
Abstract
Abstract
Introduction
Absolute quantification of individual metabolites in complex biological samples is crucial in targeted metabolomic profiling.
Objectives
An inter-laboratory test was performed to evaluate the impact of the NMR software, peak-area determination method (integration vs. deconvolution) and operator on quantification trueness and precision.
Methods
A synthetic urine containing 32 compounds was prepared. One site prepared the urine and calibration samples, and performed NMR acquisition. NMR spectra were acquired with two pulse sequences including water suppression used in routine analyses. The pre-processed spectra were sent to the other sites where each operator quantified the metabolites using internal referencing or external calibration, and his/her favourite in-house, open-access or commercial NMR tool.
Results
For 1D NMR measurements with solvent presaturation during the recovery delay (zgpr), 20 metabolites were successfully quantified by all processing strategies. Some metabolites could not be quantified by some methods. For internal referencing with TSP, only one half of the metabolites were quantified with a trueness below 5%. With peak integration and external calibration, about 90% of the metabolites were quantified with a trueness below 5%. The NMRProcFlow integration module allowed the quantification of several additional metabolites. The number of quantified metabolites and quantification trueness improved for some metabolites with deconvolution tools. Trueness and precision were not significantly different between zgpr- and NOESYpr-based spectra for about 70% of the variables.
Conclusion
External calibration performed better than TSP internal referencing. Inter-laboratory tests are useful when choosing to better rationalize the choice of quantification tools for NMR-based metabolomic profiling and confirm the value of spectra deconvolution tools.
Funder
Agence Nationale de la Recherche HORIZON EUROPE European Research Council
Publisher
Springer Science and Business Media LLC
Subject
Clinical Biochemistry,Biochemistry,Endocrinology, Diabetes and Metabolism
Reference45 articles.
1. Akoka, S., Barantin, L., & Trierweiler, M. (1999). Concentration measurement by proton NMR using the ERETIC method. Analytical Chemistry, 71(13), 2554–2557. https://doi.org/10.1021/ac981422i 2. Anderson, P. E., Mahle, D. A., Doom, T. E., Reo, N. V., DelRaso, N. J., & Raymer, M. L. (2011). Dynamic adaptive binning: An improved quantification technique for NMR spectroscopic data. Metabolomics, 7(2), 179–190. https://doi.org/10.1007/s11306-010-0242-7 3. Beckonert, O., Keun, H. C., Ebbels, T. M. D., Bundy, J., Holmes, E., Lindon, J. C., & Nicholson, J. K. (2007). Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts. Nature Protocols, 2(11), 2692–2703. https://doi.org/10.1038/nprot.2007.376 4. Bouatra, S., Aziat, F., Mandal, R., Guo, A. C., Wilson, M. R., Knox, C., Bjorndahl, T. C., Krishnamurthy, R., Saleem, F., Liu, P., Dame, Z. T., Poelzer, J., Huynh, J., Yallou, F. S., Psychogios, N., Dong, E., Bogumil, R., Roehring, C., & Wishart, D. S. (2013). The human urine metabolome. PLOS ONE, 8(9), e73076. doi:https://doi.org/10.1371/journal.pone.0073076. 5. Camacho-Barcia, L., García-Gavilán, J., Papandreou, C., Hansen, T. T., Harrold, J. A., Finlayson, G., Blundell, J. E., Sjödin, A., Halford, J. C. G., & Bulló, M. (2021). Circulating metabolites associated with postprandial satiety in overweight/obese participants: The SATIN study. Nutrients, 13(2), 549. https://doi.org/10.3390/nu13020549
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