Combining DI-ESI–MS and NMR datasets for metabolic profiling

Darrell D. Marshall, Shulei Lei, Bradley Worley, Yuting Huang, Aracely Garcia-Garcia, Rodrigo Franco-Cruz, Eric D Dodds, Robert Powers

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

Abstract: Metabolomics datasets are commonly acquired by either mass spectrometry (MS) or nuclear magnetic resonance spectroscopy (NMR), despite their fundamental complementarity. In fact, combining MS and NMR datasets greatly improves the coverage of the metabolome and enhances the accuracy of metabolite identification, providing a detailed and high-throughput analysis of metabolic changes due to disease, drug treatment, or a variety of other environmental stimuli. Ideally, a single metabolomics sample would be simultaneously used for both MS and NMR analyses, minimizing the potential for variability between the two datasets. This necessitates the optimization of sample preparation, data collection and data handling protocols to effectively integrate direct-infusion MS data with one-dimensional (1D) 1H NMR spectra. To achieve this goal, we report for the first time the optimization of (i) metabolomics sample preparation for dual analysis by NMR and MS, (ii) high throughput, positive-ion direct infusion electrospray ionization mass spectrometry (DI-ESI–MS) for the analysis of complex metabolite mixtures, and (iii) data handling protocols to simultaneously analyze DI-ESI–MS and 1D 1H NMR spectral data using multiblock bilinear factorizations, namely multiblock principal component analysis (MB-PCA) and multiblock partial least squares (MB-PLS). Finally, we demonstrate the combined use of backscaled loadings, accurate mass measurements and tandem MS experiments to identify metabolites significantly contributing to class separation in MB-PLS-DA scores. We show that integration of NMR and DI-ESI–MS datasets yields a substantial improvement in the analysis of metabolome alterations induced by neurotoxin treatment. Graphical abstract: [Figure not available: see fulltext.]

Original languageEnglish (US)
Pages (from-to)391-402
Number of pages12
JournalMetabolomics
Volume11
Issue number2
DOIs
StatePublished - Apr 1 2015

Fingerprint

Electrospray ionization
Electrospray Ionization Mass Spectrometry
Nuclear magnetic resonance spectroscopy
Mass spectrometry
Magnetic Resonance Spectroscopy
Mass Spectrometry
Metabolomics
Metabolites
Metabolome
Least-Squares Analysis
Data handling
Throughput
Neurotoxins
Drug therapy
Tandem Mass Spectrometry
Datasets
Principal Component Analysis
Complex Mixtures
Factorization
Principal component analysis

Keywords

  • DI-ESI–MS
  • Metabolomics
  • Multiblock PCA
  • Multiblock PLS
  • Multivariate statistics
  • NMR

ASJC Scopus subject areas

  • Biochemistry
  • Clinical Biochemistry
  • Endocrinology, Diabetes and Metabolism

Cite this

Combining DI-ESI–MS and NMR datasets for metabolic profiling. / Marshall, Darrell D.; Lei, Shulei; Worley, Bradley; Huang, Yuting; Garcia-Garcia, Aracely; Franco-Cruz, Rodrigo; Dodds, Eric D; Powers, Robert.

In: Metabolomics, Vol. 11, No. 2, 01.04.2015, p. 391-402.

Research output: Contribution to journalArticle

Marshall DD, Lei S, Worley B, Huang Y, Garcia-Garcia A, Franco-Cruz R et al. Combining DI-ESI–MS and NMR datasets for metabolic profiling. Metabolomics. 2015 Apr 1;11(2):391-402. https://doi.org/10.1007/s11306-014-0704-4
Marshall, Darrell D. ; Lei, Shulei ; Worley, Bradley ; Huang, Yuting ; Garcia-Garcia, Aracely ; Franco-Cruz, Rodrigo ; Dodds, Eric D ; Powers, Robert. / Combining DI-ESI–MS and NMR datasets for metabolic profiling. In: Metabolomics. 2015 ; Vol. 11, No. 2. pp. 391-402.
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