Literature DB >> 26476597

Can NMR solve some significant challenges in metabolomics?

G A Nagana Gowda1, Daniel Raftery2.   

Abstract

The field of metabolomics continues to witness rapid growth driven by fundamental studies, methods development, and applications in a number of disciplines that include biomedical science, plant and nutrition sciences, drug development, energy and environmental sciences, toxicology, etc. NMR spectroscopy is one of the two most widely used analytical platforms in the metabolomics field, along with mass spectrometry (MS). NMR's excellent reproducibility and quantitative accuracy, its ability to identify structures of unknown metabolites, its capacity to generate metabolite profiles using intact bio-specimens with no need for separation, and its capabilities for tracing metabolic pathways using isotope labeled substrates offer unique strengths for metabolomics applications. However, NMR's limited sensitivity and resolution continue to pose a major challenge and have restricted both the number and the quantitative accuracy of metabolites analyzed by NMR. Further, the analysis of highly complex biological samples has increased the demand for new methods with improved detection, better unknown identification, and more accurate quantitation of larger numbers of metabolites. Recent efforts have contributed significant improvements in these areas, and have thereby enhanced the pool of routinely quantifiable metabolites. Additionally, efforts focused on combining NMR and MS promise opportunities to exploit the combined strength of the two analytical platforms for direct comparison of the metabolite data, unknown identification and reliable biomarker discovery that continue to challenge the metabolomics field. This article presents our perspectives on the emerging trends in NMR-based metabolomics and NMR's continuing role in the field with an emphasis on recent and ongoing research from our laboratory.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomarker discovery; Isotope tagging; Metabolomics; Quantitation; Unknown metabolite identification; qNMR

Mesh:

Substances:

Year:  2015        PMID: 26476597      PMCID: PMC4646661          DOI: 10.1016/j.jmr.2015.07.014

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  109 in total

1.  High-Resolution NMR Spectroscopy of Sample Volumes from 1 nL to 10 &mgr;L.

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Authors:  Clare A Daykin; Peta J D Foxall; Susan C Connor; John C Lindon; Jeremy K Nicholson
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3.  High-throughput nuclear magnetic resonance analysis using a multiple coil flow probe.

Authors:  Megan A Macnaughtan; Ting Hou; Jun Xu; Daniel Raftery
Journal:  Anal Chem       Date:  2003-10-01       Impact factor: 6.986

4.  Covariance nuclear magnetic resonance spectroscopy.

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Journal:  J Chem Phys       Date:  2004-03-15       Impact factor: 3.488

5.  Statistical total correlation spectroscopy: an exploratory approach for latent biomarker identification from metabolic 1H NMR data sets.

Authors:  Olivier Cloarec; Marc-Emmanuel Dumas; Andrew Craig; Richard H Barton; Johan Trygg; Jane Hudson; Christine Blancher; Dominique Gauguier; John C Lindon; Elaine Holmes; Jeremy Nicholson
Journal:  Anal Chem       Date:  2005-03-01       Impact factor: 6.986

6.  Use of selective TOCSY NMR experiments for quantifying minor components in complex mixtures: application to the metabonomics of amino acids in honey.

Authors:  Peter Sandusky; Daniel Raftery
Journal:  Anal Chem       Date:  2005-04-15       Impact factor: 6.986

7.  Use of semiselective TOCSY and the pearson correlation for the metabonomic analysis of biofluid mixtures: application to urine.

Authors:  Peter Sandusky; Daniel Raftery
Journal:  Anal Chem       Date:  2005-12-01       Impact factor: 6.986

8.  Statistical heterospectroscopy, an approach to the integrated analysis of NMR and UPLC-MS data sets: application in metabonomic toxicology studies.

Authors:  Derek J Crockford; Elaine Holmes; John C Lindon; Robert S Plumb; Severine Zirah; Stephen J Bruce; Paul Rainville; Chris L Stumpf; Jeremy K Nicholson
Journal:  Anal Chem       Date:  2006-01-15       Impact factor: 6.986

9.  Principal component analysis of urine metabolites detected by NMR and DESI-MS in patients with inborn errors of metabolism.

Authors:  Zhengzheng Pan; Haiwei Gu; Nari Talaty; Huanwen Chen; Narasimhamurthy Shanaiah; Bryan E Hainline; R Graham Cooks; Daniel Raftery
Journal:  Anal Bioanal Chem       Date:  2006-07-05       Impact factor: 4.142

10.  Increase in signal-to-noise ratio of > 10,000 times in liquid-state NMR.

Authors:  Jan H Ardenkjaer-Larsen; Björn Fridlund; Andreas Gram; Georg Hansson; Lennart Hansson; Mathilde H Lerche; Rolf Servin; Mikkel Thaning; Klaes Golman
Journal:  Proc Natl Acad Sci U S A       Date:  2003-08-20       Impact factor: 11.205

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  57 in total

1.  Combining NMR and LC/MS Using Backward Variable Elimination: Metabolomics Analysis of Colorectal Cancer, Polyps, and Healthy Controls.

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Journal:  Anal Chem       Date:  2016-08-01       Impact factor: 6.986

Review 2.  Recent Advances in NMR-Based Metabolomics.

Authors:  G A Nagana Gowda; Daniel Raftery
Journal:  Anal Chem       Date:  2016-12-02       Impact factor: 6.986

3.  Whole Blood Metabolomics by 1H NMR Spectroscopy Provides a New Opportunity To Evaluate Coenzymes and Antioxidants.

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4.  NMR-based metabolomics reveals the metabolite profiles of Vibrio parahaemolyticus under ferric iron stimulation.

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Journal:  J Microbiol       Date:  2017-07-28       Impact factor: 3.422

Review 5.  Emerging new strategies for successful metabolite identification in metabolomics.

Authors:  Kerem Bingol; Lei Bruschweiler-Li; Dawei Li; Bo Zhang; Mouzhe Xie; Rafael Brüschweiler
Journal:  Bioanalysis       Date:  2016-02-26       Impact factor: 2.681

Review 6.  The future of NMR-based metabolomics.

Authors:  John L Markley; Rafael Brüschweiler; Arthur S Edison; Hamid R Eghbalnia; Robert Powers; Daniel Raftery; David S Wishart
Journal:  Curr Opin Biotechnol       Date:  2016-08-28       Impact factor: 9.740

7.  High-Throughput Indirect Quantitation of 13C Enriched Metabolites Using 1H NMR.

Authors:  Valentina Di Gialleonardo; Sui Seng Tee; Hannah N Aldeborgh; Vesselin Z Miloushev; Lidia S Cunha; George D Sukenick; Kayvan R Keshari
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Review 8.  Time is ripe: maturation of metabolomics in chronobiology.

Authors:  Seth D Rhoades; Arjun Sengupta; Aalim M Weljie
Journal:  Curr Opin Biotechnol       Date:  2016-10-01       Impact factor: 9.740

9.  Extending the Scope of 1H NMR Spectroscopy for the Analysis of Cellular Coenzyme A and Acetyl Coenzyme A.

Authors:  G A Nagana Gowda; Lauren Abell; Rong Tian
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Review 10.  Nuclear magnetic resonance spectroscopy as a new approach for improvement of early diagnosis and risk stratification of prostate cancer.

Authors:  Bo Yang; Guo-Qiang Liao; Xiao-Fei Wen; Wei-Hua Chen; Sheng Cheng; Jens-Uwe Stolzenburg; Roman Ganzer; Jochen Neuhaus
Journal:  J Zhejiang Univ Sci B       Date:  2017 Nov.       Impact factor: 3.066

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