Literature DB >> 29097223

Metabolomic analysis-Addressing NMR and LC-MS related problems in human feces sample preparation.

Simon Moosmang1, Maria Pitscheider2, Sonja Sturm3, Christoph Seger4, Herbert Tilg5, Maria Halabalaki6, Hermann Stuppner7.   

Abstract

Metabolomics is a well-established field in fundamental clinical research with applications in different human body fluids. However, metabolomic investigations in feces are currently an emerging field. Fecal sample preparation is a demanding task due to high complexity and heterogeneity of the matrix. To gain access to the information enclosed in human feces it is necessary to extract the metabolites and make them accessible to analytical platforms like NMR or LC-MS. In this study different pre-analytical parameters and factors were investigated i.e. water content, different extraction solvents, influence of freeze-drying and homogenization, ratios of sample weight to extraction solvent, and their respective impact on metabolite profiles acquired by NMR and LC-MS. The results indicate that profiles are strongly biased by selection of extraction solvent or drying of samples, which causes different metabolites to be lost, under- or overstated. Additionally signal intensity and reproducibility of the measurement were found to be strongly dependent on sample pre-treatment steps: freeze-drying and homogenization lead to improved release of metabolites and thus increased signals, but at the same time induced variations and thus deteriorated reproducibility. We established the first protocol for extraction of human fecal samples and subsequent measurement with both complementary techniques NMR and LC-MS.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Extraction; Feces; HPLC-MS; Metabolomics; NMR; Sample preparation

Mesh:

Substances:

Year:  2017        PMID: 29097223     DOI: 10.1016/j.cca.2017.10.029

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  6 in total

1.  Prebiotic Effects of Partially Hydrolyzed Guar Gum on the Composition and Function of the Human Microbiota-Results from the PAGODA Trial.

Authors:  Simon J Reider; Simon Moosmang; Judith Tragust; Lovro Trgovec-Greif; Simon Tragust; Lorenz Perschy; Nicole Przysiecki; Sonja Sturm; Herbert Tilg; Hermann Stuppner; Thomas Rattei; Alexander R Moschen
Journal:  Nutrients       Date:  2020-04-28       Impact factor: 5.717

2.  Lyophilization and homogenization of biological samples improves reproducibility and reduces standard deviation in molecular biology techniques.

Authors:  Agnes Molnar; Tamas Lakat; Adam Hosszu; Beata Szebeni; Anna Balogh; Laszlo Orfi; Attila J Szabo; Andrea Fekete; Judit Hodrea
Journal:  Amino Acids       Date:  2021-05-17       Impact factor: 3.520

Review 3.  Reference materials for MS-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC).

Authors:  Katrice A Lippa; Juan J Aristizabal-Henao; Richard D Beger; John A Bowden; Corey Broeckling; Chris Beecher; W Clay Davis; Warwick B Dunn; Roberto Flores; Royston Goodacre; Gonçalo J Gouveia; Amy C Harms; Thomas Hartung; Christina M Jones; Matthew R Lewis; Ioanna Ntai; Andrew J Percy; Dan Raftery; Tracey B Schock; Jinchun Sun; Georgios Theodoridis; Fariba Tayyari; Federico Torta; Candice Z Ulmer; Ian Wilson; Baljit K Ubhi
Journal:  Metabolomics       Date:  2022-04-09       Impact factor: 4.747

Review 4.  Possibilities of Liquid Chromatography Mass Spectrometry (LC-MS)-Based Metabolomics and Lipidomics in the Authentication of Meat Products: A Mini Review.

Authors:  Putri Widyanti Harlina; Vevi Maritha; Ida Musfiroh; Syamsul Huda; Nandi Sukri; Muchtaridi Muchtaridi
Journal:  Food Sci Anim Resour       Date:  2022-09-01

5.  Studying the Parkinson's disease metabolome and exposome in biological samples through different analytical and cheminformatics approaches: a pilot study.

Authors:  Begoña Talavera Andújar; Dagny Aurich; Velma T E Aho; Randolph R Singh; Tiejun Cheng; Leonid Zaslavsky; Evan E Bolton; Brit Mollenhauer; Paul Wilmes; Emma L Schymanski
Journal:  Anal Bioanal Chem       Date:  2022-07-13       Impact factor: 4.478

6.  An LC-QToF MS based method for untargeted metabolomics of human fecal samples.

Authors:  Ken Cheng; Carl Brunius; Rikard Fristedt; Rikard Landberg
Journal:  Metabolomics       Date:  2020-04-03       Impact factor: 4.290

  6 in total

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