Hyperpolarized NMR Metabolomics at Natural 13C Abundance

被引:49
作者
Dey, Arnab [1 ]
Charrier, Benoit [1 ]
Martineau, Estelle [1 ,2 ]
Deborde, Catherine [3 ]
Gandriau, Elodie [1 ]
Moing, Annick [3 ]
Jacob, Daniel [3 ]
Eshchenko, Dmitry [4 ]
Schnell, Marc [4 ]
Melzi, Roberto [5 ]
Kurzbach, Dennis [6 ]
Ceillier, Morgan [7 ]
Chappuis, Quentin [7 ]
Cousin, Samuel F. [7 ]
Kempf, James G. [8 ]
Jannin, Sami [7 ]
Dumez, Jean-Nicolas [1 ]
Giraudeau, Patrick [1 ]
机构
[1] Univ Nantes, CNRS, CEISAM UMR 6230, F-44000 Nantes, France
[2] CAPACITES SAS, SpectroMaitrise, F-44000 Nantes, France
[3] Univ Bordeaux, UMR Biol Fruit & Pathol & Bordeaux Metabolome, Ctr INRAE Nouvelle Aquitaine Bordeaux, INRAE,MetaboHUB, F-33140 Villenave Dornon, France
[4] Bruker Biospin, CH-8117 Fallanden, Switzerland
[5] Bruker Italia Srl, I-20158 Milan, Italy
[6] Univ Vienna, Fac Chem, Inst Biol Chem, A-1090 Vienna, Austria
[7] Univ Claude Bernard Lyon 1, Univ Lyon, CNRS, F-69100 Villeurbanne, France
[8] Bruker Biospin, Billerica, MA 01821 USA
基金
欧洲研究理事会;
关键词
Nuclear magnetic resonance spectroscopy - Biochemistry;
D O I
10.1021/acs.analchem.0c03510
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Metabolomics plays a pivotal role in systems biology, and NMR is a central tool with high precision and exceptional resolution of chemical information. Most NMR metabolomic studies are based on H-1 1D spectroscopy, severely limited by peak overlap. C-13 NMR benefits from a larger signal dispersion but is barely used in metabolomics due to ca. 6000-fold lower sensitivity. We introduce a new approach, based on hyperpolarized C-13 NMR at natural abundance, that circumvents this limitation. A new untargeted NMR-based metabolomic workflow based on dissolution dynamic nuclear polarization (d-DNP) for the first time enabled hyperpolarized natural abundance C-13 metabolomics. Statistical analysis of resulting hyperpolarized C-13 data distinguishes two groups of plant (tomato) extracts and highlights biomarkers, in full agreement with previous results on the same biological model. We also optimize parameters of the semiautomated d-DNP system suitable for high-throughput studies.
引用
收藏
页码:14867 / 14871
页数:5
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