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Practical Guidelines for 13C-Based NMR Metabolomics.

Arthur S Edison1,2,3, Adrien Le Guennec4,5, Frank Delaglio6

  • 1Department of Biochemistry, University of Georgia, Athens, GA, USA. aedison@uga.edu.

Methods in Molecular Biology (Clifton, N.J.)
|August 30, 2019
PubMed
Summary
This summary is machine-generated.

Carbon-13 Nuclear Magnetic Resonance (13C NMR) metabolomics offers advantages like sharp peaks and stability, overcoming sensitivity challenges. Advanced instrumentation enables rapid, detailed analysis for improved compound identification.

Keywords:
13C J-RES13C NMR detectionINADEQUATEIsotopic labelingMetabolomicsMultiple receiversNatural abundance 13CPANACEAParallel NMRSimultaneous acquisition

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Area of Science:

  • Analytical Chemistry
  • Biochemistry
  • Metabolomics

Background:

  • 13C NMR metabolomics presents unique challenges due to lower sensitivity compared to 1H NMR.
  • Despite sensitivity limitations, 13C NMR offers distinct advantages for metabolite analysis.

Purpose of the Study:

  • To provide an overview of 13C-based NMR metabolomics techniques.
  • To highlight the benefits and applications of 13C NMR in metabolomics.
  • To discuss advancements in instrumentation and methods for enhanced data acquisition and analysis.

Main Methods:

  • Utilizing natural abundance 13C NMR for sharp, resolved peaks and stable frequencies.
  • Employing statistical approaches for C-C and C-H correlation mapping.
  • Leveraging isotopic enrichment for advanced experiments like 13C-J-RES and INADEQUATE for de novo metabolite identification.
  • Implementing advanced NMR instrumentation with improved probes for rapid data acquisition (e.g., 1D 13C spectra in ≤2 hours).
  • Utilizing simultaneous data acquisition methods for collecting multiple NMR experiments concurrently.

Main Results:

  • Natural abundance 13C NMR provides sharp, well-resolved peaks with enhanced stability to sample conditions.
  • Statistical methods enable effective compound identification through correlation maps.
  • Isotopic enrichment facilitates de novo identification of unknown metabolites.
  • Modern NMR probes and acquisition techniques allow for efficient data collection from complex metabolomics samples.
  • Advancements lead to richer datasets for improved metabolomics data analysis.

Conclusions:

  • 13C NMR metabolomics is a powerful tool, especially with recent technological advancements.
  • Improved instrumentation and methods enhance the feasibility and utility of 13C NMR in metabolomics.
  • 13C NMR, particularly with isotopic enrichment, significantly aids in comprehensive metabolite identification and analysis.