Literature DB >> 22697410

Assessment of compatibility between extraction methods for NMR- and LC/MS-based metabolomics.

Antoni Beltran1, Manuel Suarez, Miguel A Rodríguez, Maria Vinaixa, Sara Samino, Lluís Arola, Xavier Correig, Oscar Yanes.   

Abstract

Because of the wide range of chemically and structurally diverse metabolites, efforts to survey the complete metabolome rely on the implementation of multiplatform approaches based on nuclear magnetic resonance (NMR) and mass spectrometry (MS). Sample preparation disparities between NMR and MS, however, may limit the analysis of the same samples by both platforms. Specifically, deuterated solvents used in NMR strategies can complicate LC/MS analysis as a result of potential mass shifts, whereas acidic solutions typically used in LC/MS methods to enhance ionization of metabolites can severely affect reproducibility of NMR measurements. These intrinsically different sample preparation requirements result in the application of different procedures for metabolite extraction, which involve additional sample and unwanted variability. To address this issue, we investigated 12 extraction protocols in liver tissue involving different aqueous/organic solvents and temperatures that may satisfy the requirements for both NMR and LC/MS simultaneously. We found that deuterium exchange did not affect LC/MS results, enabling the measurement of metabolites by NMR and, subsequently, the direct analysis of the same samples by using LC/MS with no need for solvent exchange. Moreover, our results show that the choice of solvents rather than the temperature determined the extraction efficiencies of metabolites, a combination of methanol/chloroform/water and methanol/water being the extraction methods that best complement NMR and LC/MS analysis for metabolomic studies.

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Year:  2012        PMID: 22697410     DOI: 10.1021/ac3005567

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  20 in total

1.  Measurement of DNA concentration as a normalization strategy for metabolomic data from adherent cell lines.

Authors:  Leslie P Silva; Philip L Lorenzi; Preeti Purwaha; Valeda Yong; David H Hawke; John N Weinstein
Journal:  Anal Chem       Date:  2013-10-02       Impact factor: 6.986

Review 2.  Holistic Analysis Enhances the Description of Metabolic Complexity in Dietary Natural Products.

Authors:  Charlotte Simmler; Daniel Kulakowski; David C Lankin; James B McAlpine; Shao-Nong Chen; Guido F Pauli
Journal:  Adv Nutr       Date:  2016-01       Impact factor: 8.701

Review 3.  Beyond the paradigm: Combining mass spectrometry and nuclear magnetic resonance for metabolomics.

Authors:  Darrell D Marshall; Robert Powers
Journal:  Prog Nucl Magn Reson Spectrosc       Date:  2017-01-11       Impact factor: 9.795

4.  Combining DI-ESI-MS and NMR datasets for metabolic profiling.

Authors:  Darrell D Marshall; Shulei Lei; Bradley Worley; Yuting Huang; Aracely Garcia-Garcia; Rodrigo Franco; Eric D Dodds; Robert Powers
Journal:  Metabolomics       Date:  2015-04       Impact factor: 4.290

5.  Exploring the Process of Energy Generation in Pathophysiology by Targeted Metabolomics: Performance of a Simple and Quantitative Method.

Authors:  Marta Riera-Borrull; Esther Rodríguez-Gallego; Anna Hernández-Aguilera; Fedra Luciano; Rosa Ras; Elisabet Cuyàs; Jordi Camps; Antonio Segura-Carretero; Javier A Menendez; Jorge Joven; Salvador Fernández-Arroyo
Journal:  J Am Soc Mass Spectrom       Date:  2015-09-17       Impact factor: 3.109

Review 6.  After the feature presentation: technologies bridging untargeted metabolomics and biology.

Authors:  Kevin Cho; Nathaniel G Mahieu; Stephen L Johnson; Gary J Patti
Journal:  Curr Opin Biotechnol       Date:  2014-05-06       Impact factor: 9.740

7.  Untargeted UPLC-MS profiling pipeline to expand tissue metabolome coverage: application to cardiovascular disease.

Authors:  Panagiotis A Vorkas; Giorgis Isaac; Muzaffar A Anwar; Alun H Davies; Elizabeth J Want; Jeremy K Nicholson; Elaine Holmes
Journal:  Anal Chem       Date:  2015-04-08       Impact factor: 6.986

8.  Chemometric evaluation of Saccharomyces cerevisiae metabolic profiles using LC-MS.

Authors:  Mireia Farrés; Benjamí Piña; Romà Tauler
Journal:  Metabolomics       Date:  2014-06-25       Impact factor: 4.290

9.  Establishing a Metabolite Extraction Method to Study the Metabolome of Blastocystis Using NMR.

Authors:  Jamie M Newton; Emma L Betts; Lyto Yiangou; Jose Ortega Roldan; Anastasios D Tsaousis; Gary S Thompson
Journal:  Molecules       Date:  2021-05-29       Impact factor: 4.927

10.  Integration of ¹H NMR and UPLC-Q-TOF/MS for a comprehensive urinary metabonomics study on a rat model of depression induced by chronic unpredictable mild stress.

Authors:  Hong-Mei Jia; Yu-Fei Feng; Yue-Tao Liu; Xing Chang; Lin Chen; Hong-Wu Zhang; Gang Ding; Zhong-Mei Zou
Journal:  PLoS One       Date:  2013-05-17       Impact factor: 3.240

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