Arnab Dey, Benoît Charrier, Karine Lemaitre, Victor Ribay, Dmitry Eshchenko, Marc Schnell, Roberto Melzi, Quentin Stern, Samuel F Cousin, James G Kempf, Sami Jannin, Jean-Nicolas Dumez, Patrick Giraudeau
{"title":"Fine optimization of a dissolution dynamic nuclear polarization experimental setting for <sup>13</sup>C NMR of metabolic samples.","authors":"Arnab Dey, Benoît Charrier, Karine Lemaitre, Victor Ribay, Dmitry Eshchenko, Marc Schnell, Roberto Melzi, Quentin Stern, Samuel F Cousin, James G Kempf, Sami Jannin, Jean-Nicolas Dumez, Patrick Giraudeau","doi":"10.5194/mr-3-183-2022","DOIUrl":null,"url":null,"abstract":"<p><p>NMR-based analysis of metabolite mixtures provides crucial information on biological systems but mostly relies on 1D <math><msup><mi></mi><mn>1</mn></msup></math>H experiments for maximizing sensitivity. However, strong peak overlap of <math><msup><mi></mi><mn>1</mn></msup></math>H spectra often is a limitation for the analysis of inherently complex biological mixtures. Dissolution dynamic nuclear polarization (d-DNP) improves NMR sensitivity by several orders of magnitude, which enables <math><msup><mi></mi><mn>13</mn></msup></math>C NMR-based analysis of metabolites at natural abundance. We have recently demonstrated the successful introduction of d-DNP into a full untargeted metabolomics workflow applied to the study of plant metabolism. Here we describe the systematic optimization of d-DNP experimental settings for experiments at natural <math><msup><mi></mi><mn>13</mn></msup></math>C abundance and show how the resolution, sensitivity, and ultimately the number of detectable signals improve as a result. We have systematically optimized the parameters involved (in a semi-automated prototype d-DNP system, from sample preparation to signal detection, aiming at providing an optimization guide for potential users of such a system, who may not be experts in instrumental development). The optimization procedure makes it possible to detect previously inaccessible protonated <math><msup><mi></mi><mn>13</mn></msup></math>C signals of metabolites at natural abundance with at least 4 times improved line shape and a high repeatability compared to a previously reported d-DNP-enhanced untargeted metabolomic study. This extends the application scope of hyperpolarized <math><msup><mi></mi><mn>13</mn></msup></math>C NMR at natural abundance and paves the way to a more general use of DNP-hyperpolarized NMR in metabolomics studies.</p>","PeriodicalId":93333,"journal":{"name":"Magnetic resonance (Gottingen, Germany)","volume":" ","pages":"183-202"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10583282/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Magnetic resonance (Gottingen, Germany)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5194/mr-3-183-2022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"Physics and Astronomy","Score":null,"Total":0}
引用次数: 0
Abstract
NMR-based analysis of metabolite mixtures provides crucial information on biological systems but mostly relies on 1D H experiments for maximizing sensitivity. However, strong peak overlap of H spectra often is a limitation for the analysis of inherently complex biological mixtures. Dissolution dynamic nuclear polarization (d-DNP) improves NMR sensitivity by several orders of magnitude, which enables C NMR-based analysis of metabolites at natural abundance. We have recently demonstrated the successful introduction of d-DNP into a full untargeted metabolomics workflow applied to the study of plant metabolism. Here we describe the systematic optimization of d-DNP experimental settings for experiments at natural C abundance and show how the resolution, sensitivity, and ultimately the number of detectable signals improve as a result. We have systematically optimized the parameters involved (in a semi-automated prototype d-DNP system, from sample preparation to signal detection, aiming at providing an optimization guide for potential users of such a system, who may not be experts in instrumental development). The optimization procedure makes it possible to detect previously inaccessible protonated C signals of metabolites at natural abundance with at least 4 times improved line shape and a high repeatability compared to a previously reported d-DNP-enhanced untargeted metabolomic study. This extends the application scope of hyperpolarized C NMR at natural abundance and paves the way to a more general use of DNP-hyperpolarized NMR in metabolomics studies.