Literature DB >> 29920210

A Validated, Fast Method for Quantification of Sterols and Gut Microbiome Derived 5α/β-Stanols in Human Feces by Isotope Dilution LC-High-Resolution MS.

Hans-Frieder Schött1, Sabrina Krautbauer1, Marcus Höring1, Gerhard Liebisch1, Silke Matysik1.   

Abstract

There has been an increasing interest during recent years in the role of the gut microbiome on health and disease. Therefore, metabolites in human feces related to microbial activity are attractive surrogate marker to track changes of microbiota induced by diet or disease. Such markers include 5α/β-stanols as microbiome-derived metabolites of sterols. Currently, reliable, robust, and fast methods to quantify fecal sterols and their related metabolites are missing. We developed a liquid chromatography-high-resolution mass spectrometry (LC-MS/HRMS) method for the quantification of sterols and their 5α/β-stanols in human fecal samples. Fecal sterols were extracted and derivatized to N, N-dimethylglycine esters. The method includes cholesterol, coprostanol, cholestanol and sitosterol, 5α/β-sitostanol, campesterol and 5α/β-campestanol. Application of a biphenyl column permits separation of isomeric 5α- and 5β-stanols. Sterols are detected in parallel reaction monitoring (PRM) mode and stanols in full scan mode. HRMS allows differentiation of isobaric β-stanols and the [M + 2] isotope peak of the coeluting sterol. Performance characteristics meet the criteria recommended by Food and Drug Administration (FDA) and European Medicines Agency (EMA) guidelines. Analysis of fecal samples from healthy volunteers revealed high interindividual variability of sterol and stanol fractions. Interestingly, cholesterol and sitosterol showed similar fractions of mainly 5β-stanols. In contrast, campesterol is substantially converted to 5α-campestanol and might be a poorer substrate for bacterial metabolism. Robust and fast quantification of fecal sterols and their related stanols by LC-MS/HRMS offers great potential to find novel microbiome-related biomarker in large-scale studies.

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Year:  2018        PMID: 29920210     DOI: 10.1021/acs.analchem.8b01278

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  7 in total

1.  Application of Lipid Class Ratios for Sample Stability Monitoring-Evaluation of Murine Tissue Homogenates and SDS as a Stabilizer.

Authors:  Sabrina Krautbauer; Raquel Blazquez; Gerhard Liebisch; Marcus Hoering; Philip Neubert; Tobias Pukrop; Ralph Burkhardt; Alexander Sigruener
Journal:  Metabolites       Date:  2021-04-27

2.  Cytokine-specific autoantibodies shape the gut microbiome in autoimmune polyendocrine syndrome type 1.

Authors:  Anders Ø Petersen; Martta Jokinen; Damian R Plichta; Gerhard Liebisch; Wolfram Gronwald; Katja Dettmer; Peter J Oefner; Hera Vlamakis; Daniel C Chung; Annamari Ranki; Ramnik J Xavier
Journal:  J Allergy Clin Immunol       Date:  2021-04-02       Impact factor: 14.290

Review 3.  Effects of Non-Polar Dietary and Endogenous Lipids on Gut Microbiota Alterations: The Role of Lipidomics.

Authors:  Konstantinos Tsiantas; Spyridon J Konteles; Eftichia Kritsi; Vassilia J Sinanoglou; Thalia Tsiaka; Panagiotis Zoumpoulakis
Journal:  Int J Mol Sci       Date:  2022-04-07       Impact factor: 6.208

Review 4.  Recent Developments of Useful MALDI Matrices for the Mass Spectrometric Characterization of Lipids.

Authors:  Jenny Leopold; Yulia Popkova; Kathrin M Engel; Jürgen Schiller
Journal:  Biomolecules       Date:  2018-12-13

5.  Evaluation of Normalization Approaches for Quantitative Analysis of Bile Acids in Human Feces.

Authors:  Hans-Frieder Schött; Esther W L Chua; Sartaj Ahmad Mir; Bo Burla; Anne K Bendt; Markus R Wenk
Journal:  Metabolites       Date:  2022-08-05

Review 6.  Lipidomics from sample preparation to data analysis: a primer.

Authors:  Thomas Züllig; Martin Trötzmüller; Harald C Köfeler
Journal:  Anal Bioanal Chem       Date:  2019-12-10       Impact factor: 4.142

Review 7.  HIGH RESOLUTION MASS SPECTROMETRY IN LIPIDOMICS.

Authors:  Thomas Züllig; Harald C Köfeler
Journal:  Mass Spectrom Rev       Date:  2020-03-31       Impact factor: 10.946

  7 in total

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