Review

. 2017 Feb:43:34-40.

doi: 10.1016/j.copbio.2016.08.001. Epub 2016 Aug 28.

The future of NMR-based metabolomics

John L Markley¹, Rafael Brüschweiler², Arthur S Edison³, Hamid R Eghbalnia⁴, Robert Powers⁵, Daniel Raftery⁶, David S Wishart⁷

Affiliations

¹ Biochemistry Department, University of Wisconsin-Madison, 433 Babcock Drive, Madison, WI 53706, USA. Electronic address: jmarkley@wisc.edu.
² Department of Chemistry & Biochemistry, The Ohio State University, 151 W. Woodruff Ave., Columbus, OH 43210, USA; Department of Biological Chemistry & Pharmacology, The Ohio State University, 151 W. Woodruff Ave., Columbus, OH 43210, USA.
³ Department of Genetics and Biochemistry, Institute of Bioinformatics and Complex Carbohydrate Center, University of Georgia, 315 Riverbend Rd, Athens, GA 30602, USA.
⁴ Biochemistry Department, University of Wisconsin-Madison, 433 Babcock Drive, Madison, WI 53706, USA.
⁵ Department of Chemistry, University of Nebraska-Lincoln, 722 Hamilton Hall, Lincoln, NE 68588, USA.
⁶ Department of Anesthesiology & Pain Medicine, 850 Republican St, University of Washington, Seattle, WA 98109, USA.
⁷ Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada T6G 2E8; Department of Computing Science, University of Alberta, Edmonton, AB, Canada T6G 2E8.

PMID: 27580257
PMCID: PMC5305426
DOI: 10.1016/j.copbio.2016.08.001

Review

The future of NMR-based metabolomics

John L Markley et al. Curr Opin Biotechnol. 2017 Feb.

. 2017 Feb:43:34-40.

doi: 10.1016/j.copbio.2016.08.001. Epub 2016 Aug 28.

Authors

John L Markley¹, Rafael Brüschweiler², Arthur S Edison³, Hamid R Eghbalnia⁴, Robert Powers⁵, Daniel Raftery⁶, David S Wishart⁷

Affiliations

¹ Biochemistry Department, University of Wisconsin-Madison, 433 Babcock Drive, Madison, WI 53706, USA. Electronic address: jmarkley@wisc.edu.
² Department of Chemistry & Biochemistry, The Ohio State University, 151 W. Woodruff Ave., Columbus, OH 43210, USA; Department of Biological Chemistry & Pharmacology, The Ohio State University, 151 W. Woodruff Ave., Columbus, OH 43210, USA.
³ Department of Genetics and Biochemistry, Institute of Bioinformatics and Complex Carbohydrate Center, University of Georgia, 315 Riverbend Rd, Athens, GA 30602, USA.
⁴ Biochemistry Department, University of Wisconsin-Madison, 433 Babcock Drive, Madison, WI 53706, USA.
⁵ Department of Chemistry, University of Nebraska-Lincoln, 722 Hamilton Hall, Lincoln, NE 68588, USA.
⁶ Department of Anesthesiology & Pain Medicine, 850 Republican St, University of Washington, Seattle, WA 98109, USA.
⁷ Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada T6G 2E8; Department of Computing Science, University of Alberta, Edmonton, AB, Canada T6G 2E8.

PMID: 27580257
PMCID: PMC5305426
DOI: 10.1016/j.copbio.2016.08.001

Abstract

The two leading analytical approaches to metabolomics are mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy. Although currently overshadowed by MS in terms of numbers of compounds resolved, NMR spectroscopy offers advantages both on its own and coupled with MS. NMR data are highly reproducible and quantitative over a wide dynamic range and are unmatched for determining structures of unknowns. NMR is adept at tracing metabolic pathways and fluxes using isotope labels. Moreover, NMR is non-destructive and can be utilized in vivo. NMR results have a proven track record of translating in vitro findings to in vivo clinical applications.

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Figures

**Figure 1**
Schematic representation of metabolic “dark matter”.

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References

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The future of NMR-based metabolomics

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The future of NMR-based metabolomics

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