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Clinical Metabolomics pp 247–256Cite as

GC-MS Analysis of Short-Chain Fatty Acids in Feces, Cecum Content, and Blood Samples

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Part of the Methods in Molecular Biology book series (MIMB,volume 1730)

Abstract

Short-chain fatty acids, the end products of fermentation of dietary fibers by the gut microbiota, have been shown to exert multiple effects on mammalian metabolism. For the analysis of short-chain fatty acids, gas chromatography–mass spectrometry is a very powerful and reliable method. Here, we describe a fast, reliable, and reproducible method for the separation and quantification of short-chain fatty acids in mouse feces, cecum content, and blood samples (i.e., plasma or serum) using gas chromatography–mass spectrometry. The short-chain fatty acids analyzed include acetic acid, propionic acid, butyric acid, valeric acid, hexanoic acid, and heptanoic acid.

Key words

  • Short-chain fatty acids
  • Gas chromatography–mass spectrometry
  • GC-MS
  • Targeted metabolomics
  • PFBBr

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  • DOI: 10.1007/978-1-4939-7592-1_17
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References

  1. Siri-Tarino PW, Chiu S, Bergeron N et al (2015) Saturated fats versus polyunsaturated fats versus carbohydrates for cardiovascular disease prevention and treatment. Annu Rev Nutr 35:517–543

    CrossRef  PubMed Central  CAS  PubMed  Google Scholar 

  2. Desbois AP, Smith VJ (2010) Antibacterial free fatty acids: activities, mechanisms of action and biotechnological potential. Appl Microbiol Biotechnol 85(6):1629–1642

    CrossRef  CAS  PubMed  Google Scholar 

  3. Cummings JH, Pomare EW, Branch WJ et al (1987) Short chain fatty acids in human large intestine, portal, hepatic and venous blood. Gut 28:1221–1227

    CrossRef  PubMed Central  CAS  PubMed  Google Scholar 

  4. O’Keefe SJD (2016) Diet, microorganisms and their metabolites, and colon cancer. Nat Rev Gastroenterol Hepatol 13:691–706

    CrossRef  PubMed Central  CAS  PubMed  Google Scholar 

  5. Dołowy M, Pyka A (2015) Chromatographic methods in the separation of long-chain mono- and polyunsaturated fatty acids. J Chem 2015:20

    CrossRef  CAS  Google Scholar 

  6. Gao P, Xu G (2015) Mass-spectrometry-based microbial metabolomics: recent developments and applications. Anal Bioanal Chem 407:669–680

    CrossRef  CAS  PubMed  Google Scholar 

  7. Kloos D-P, Gay E, Lingeman H et al (2014) Comprehensive gas chromatography-electron ionisation mass spectrometric analysis of fatty acids and sterols using sequential one-pot silylation: quantification and isotopologue analysis. Rapid Commun Mass Spectrom 28:1507–1514

    CrossRef  CAS  PubMed  Google Scholar 

  8. Tomcik K, Ibarra RA, Sadhukhan S et al (2011) Isotopomer enrichment assay for very short chain fatty acids and its metabolic applications. Anal Biochem 410:110–117

    CrossRef  CAS  PubMed  Google Scholar 

  9. Quehenberger O, Armando AM, Dennis EA (2011) High sensitivity quantitative lipidomics analysis of fatty acids in biological samples by gas chromatography-mass spectrometry. Biochim Biophys Acta 1811:648–656

    CrossRef  PubMed Central  CAS  PubMed  Google Scholar 

  10. Gu H, Liu G, Wang J et al (2014) Selecting the correct weighting factors for linear and quadratic calibration curves with least-squares regression algorithm in bioanalytical LC-MS/MS assays and impacts of using incorrect weighting factors on curve stability, data quality, and assay perfo. Anal Chem 86:8959–8966

    CrossRef  CAS  PubMed  Google Scholar 

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Author information

Authors and Affiliations

  1. Einthoven Laboratory for Experimental Vascular Medicine, Department of Human Genetics, Leiden University Medical Center (LUMC), Leiden, The Netherlands

    Lisa R. Hoving, Vanessa van Harmelen & Ko Willems van Dijk

  2. Center for Proteomics and Metabolomics, Leiden University Medical Center (LUMC), Leiden, The Netherlands

    Marieke Heijink & Martin Giera

  3. Division of Endocrinology, Department of Medicine, Leiden University Medical Center (LUMC), Leiden, The Netherlands

    Ko Willems van Dijk

Authors
  1. Lisa R. Hoving
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  2. Marieke Heijink
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  3. Vanessa van Harmelen
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  4. Ko Willems van Dijk
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  5. Martin Giera
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Corresponding author

Correspondence to Martin Giera .

Editor information

Editors and Affiliations

  1. Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands

    Martin Giera

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Hoving, L.R., Heijink, M., van Harmelen, V., van Dijk, K.W., Giera, M. (2018). GC-MS Analysis of Short-Chain Fatty Acids in Feces, Cecum Content, and Blood Samples. In: Giera, M. (eds) Clinical Metabolomics. Methods in Molecular Biology, vol 1730. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7592-1_17

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  • DOI: https://doi.org/10.1007/978-1-4939-7592-1_17

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7591-4

  • Online ISBN: 978-1-4939-7592-1

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