Article open access publication

Strategy for Nuclear-Magnetic-Resonance-Based Metabolomics of Human Feces.

Analytical Chemistry, American Chemical Society (ACS), ISSN 0003-2700

Volume 87, 12, 2015

DOI:10.1021/acs.analchem.5b00977, Dimensions: pub.1055078411, PMID: 25985090,

Affiliations

Organisations

  1. (1) Aarhus University, grid.7048.b, AU
  2. (2) ‡DuPont Nutrition Biosciences ApS, Edwin Rahrsvej 38, 8220 Brabrand, Aarhus, Denmark.
  3. (3) Technical University of Denmark, grid.5170.3, DTU

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Denmark

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Europe

Description

Metabolomic analyses of fecal material are gaining increasing attention because the gut microbial ecology and activity have an impact on the human phenotype and regulate host metabolism. Sample preparation is a crucial step, and in this study, we recommend a methodology for extraction and analysis of fresh feces by NMR-based metabolomics. The evaluation of extraction solvents showed that buffer extraction is a suitable approach to extract metabolic information in feces. Therefore, the effects of weight-to-buffer (Wf:Vb) combinations and the effect of sonication and freeze-thaw cycles on the reproducibility, chemical shift variability, and signal-to-noise ratio (SNR) of the (1)H NMR spectra were evaluated. On the basis of our results, we suggest that fresh fecal extraction with a Wf:Vb ratio of 1:2 may be the optimum choice to determine the overall metabolite composition of feces. In fact, more than 60 metabolites have been assigned in the NMR spectra obtained from the fresh fecal buffer extract, and assignments of the lipophilic signals are also presented. To our knowledge, some of the metabolites are reported here for the very first time employing (1)H NMR spectroscopy on human fecal extracts.

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Aarhus University

Technical University of Denmark

Danish Open Access Indicator

2015: Realized

Research area: Science & Technology

Danish Bibliometrics Indicator

2015: Level 2

Research area: Science & Technology

Dimensions Citation Indicators

Times Cited: 44

Field Citation Ratio (FCR): 6.91

Relative Citation ratio (RCR): 1.9

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Green, Submitted