Metabolite analysis of human fecal water by gas chromatography/mass spectrometry with ethyl chloroformate derivatization

Gao, Xianfu; Pujos‐Guillot, Estelle; Martin, Jean-François; Galán, Pilar; Juste, Catherine; Wang, Jia; Sébédio, Jean‐Louis

doi:10.1016/j.ab.2009.06.036

Cited by 130 publications

(107 citation statements)

References 34 publications

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“…The default XCMS parameters were utilized, with the following exceptions: xcmsSet (fwhm = 8, snthresh = 6, max = 200); retcor (method = "linear", family = "gaussian", plottype = "mdevden"); and a bandwidth of 8 for the first grouping command and of 4 for the second grouping command. 41,42 The data set of aligned mass ions was exported from XCMS for further processing by Microsoft Excel, which was used to normalize the data prior to the multivariate analyses.…”

Section: Human Subjectsmentioning

confidence: 99%

Blood volatile compounds as biomarkers for colorectal cancer

Wang

Peng

Lian

et al. 2013

Cancer Biology & Therapy

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Section: Human Subjectsmentioning

confidence: 99%

Blood volatile compounds as biomarkers for colorectal cancer

Wang

Peng

Lian

et al. 2013

Cancer Biology & Therapy

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“…Raw GC/MS data were converted into AIA format (NetCDF) files by the Agilent GC-MS 5975 Data Analysis software, and subsequently processed by the XCMS toolbox (version 1.14.0) using the parameters as previously described (Gao et al 2009). The XCMS output was further processed using the Microsoft Excel software (Microsoft, Redmond, WA), where the IS peaks, and impurity peaks from column bleeds and derivatization procedures were excluded, and the remaining ion features were normalized to the total integrated area (1,000) per sample and arranged on a three-dimensional matrix consisting of arbitrary peak index (rt-m/z pair), sample names (observations), and peak area (variables).…”

Section: Extraction Of Gc/ms Data and Multivariate Statistical Analysismentioning

confidence: 99%

GC/MS-based urinary metabolomics reveals systematic differences in metabolism and ethanol response between Sprague–Dawley and Wistar rats

et al. 2010

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Abstract:Metabolic differences of experimental animals contribute to pharmacological variations. Sprague-Dawley (SD) and Wistar rats are commonly used experimental rats with similar genetic background, and considered interchangeable in practical researches. In this study, we present the urinary metabolomics results, based on gas chromatography coupled to mass spectrometry (GC/MS), which reveal the systematic metabolic differences between SD and Wistar rats under different perturbations such as fasting, feeding, and consecutive acute ethanol interventions. The different metabotypes between the two strains of rats involve a number of metabolic pathways and symbiotic gut microflora. SD rats exhibited higher individualized metabolic variations in the fasting and feeding states, and a stronger ability to recover from an altered metabolic profile with less hepatic injury from the consecutive ethanol exposure, as compared to Wistar rats. In summary, the GC/MS-based urinary metabolomics studies demonstrated an intrinsic metabolic difference between SD and Wistar rats, which warrants consideration in experimental design using these animal strains.

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“…Because of the presence of a wide range of structurally diverse compounds in human feces, the metabolic analysis of this mixture is difficult to achieve. NMR, mass spectrometry combined with liquid chromatography, and gas chromatography have been employed for this purpose [Bezabeh et al, 2009;de Graaf et al, 2010;Gao et al, 2009;Han et al, 2010;Jacobs et al, 2008;Lenz and Wilson, 2007;Monleon et al, 2009;Pettersson et al, 2008;Romick-Rosendale et al, 2009;Wu et al, 2010]. In this study, NMR spectroscopy of fecal suspensions incubated with selected enrofloxacin concentrations gave remarkably similar common spectra, with some slightly different peak heights.…”

Section: Discussionmentioning

confidence: 62%

In vitro Analysis of the Impact of Enrofloxacin Residues on the Human Intestinal Microbiota Using 1H-NMR Spectroscopy

et al. 2012

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Exposure of humans to antimicrobial residues in food-producing animals may alter the intestinal microbiota which could result in a potential risk to human health. To determine the effect of enrofloxacin on the human intestinal microbiota, fecal suspensions (25%) were cultured in the presence of 0.06–5 µg/ml enrofloxacin. The bacterial community was analyzed by plating on selective culture media, pyrosequencing and nuclear magnetic resonance (NMR) spectroscopy. Pyrosequencing analysis of 16S rRNA genes and viable counts on Bacteroides sp., Enterococcus sp., and Bifidobacterium sp. selection medium indicated that there were no significant changes in the bacteria numbers at the selected enrofloxacin concentrations (0.06, 0.1, and 1 µg/ml) relative to the control samples after a 48 h incubation. NMR analysis showed remarkably similar spectra in cultures treated with 0.06, 0.1, and 1 µg/ml enrofloxacin, with some slight differences in peak heights. However, hierarchical clustering analysis indicated significant differences in metabolite concentrations between the control and those samples treated with 1 µg/ml enrofloxacin. Leucine, phenylalanine, proline, and 2-oxovalerate were positively correlated with the concentration of enrofloxacin. NMR analysis is a potentially useful tool to monitor changes of the human intestinal microbiota, in addition to traditional culture methods and pyrosequencing.

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Metabolite analysis of human fecal water by gas chromatography/mass spectrometry with ethyl chloroformate derivatization

Cited by 130 publications

References 34 publications

Blood volatile compounds as biomarkers for colorectal cancer

Blood volatile compounds as biomarkers for colorectal cancer

GC/MS-based urinary metabolomics reveals systematic differences in metabolism and ethanol response between Sprague–Dawley and Wistar rats

In vitro Analysis of the Impact of Enrofloxacin Residues on the Human Intestinal Microbiota Using 1H-NMR Spectroscopy

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