Literature DB >> 33846363

Fitness for purpose of stabilized stool samples for bile acid metabolite analyses.

Lorie Neuberger-Castillo1, Wim Ammerlaan2, Fay Betsou3.   

Abstract

Biobanks and cohort studies are increasingly utilizing chemical stabilizers to collect and store stool samples for downstream DNA-based microbiome analyses. While stabilizers permit ambient-temperature collection and storage of samples for gut microbiome studies, the use of the same sample type for downstream metabolomics assays has not been explored. Microbiome-metabolomics analysis of fecal samples is increasingly getting attention to further elucidate the mechanisms by which the gut microbiota influences the host. In this study, we evaluated fitness-for-purpose of OMNIgene-GUT-collected stool samples for downstream metabolomics assays in the scope of fecal bile acids (BA) quantification. Biocrates Bile Acids Kit was used for the quantification of BA from eight healthy donors' samples collected in (1) OMNIgene-GUT kit and (2) snap frozen in -80 °C in duplicates. A highly selective reversed phase LC-MS/MS analysis method in negative ion multiple reaction monitoring (MRM) detection mode was applied to determine the BA concentrations in each sample.Total fecal BA levels were detectable in OMNIgene-GUT-collected samples (range: 29.9-903.7 pmol/mg). Paired t-test confirmed that there was a significant difference in the total BAs between the OMNIgene-GUT and snap frozen samples (p < 0.05). Extractions from snap frozen samples resulted in higher concentrations of total BAs (range: 243.7-1136.2 pmol/mg). Qualitative differences between individual donors' BA profiles were detectable using the two sample collection methods. No significant difference was found in the relative concentrations of primary (CA, CDCA) or secondary (DCA, LCA, UDCA) unconjugated BAs to the total BA concentrations in OMNIgene-GUT-collected samples as compared with the snap frozen samples (Wilcoxon-Mann-Whitney test, p > 0.05). Passing-Bablok method comparison and correlation analyis showed a high degree of correlation in the relative concentrations of CA, CDCA, DCA and LCA between OMNIgene-GUT and snap frozen samples. For these four bile acids, the two methods are comparable at an acceptability bias of 30%. We conclude that the OMNIgene-GUT-collected stool samples are fit-for-purpose for downstream fecal bile acids analysis.

Entities:  

Year:  2021        PMID: 33846363     DOI: 10.1038/s41598-021-86784-0

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  12 in total

1.  Bile acid is a host factor that regulates the composition of the cecal microbiota in rats.

Authors:  K B M Saiful Islam; Satoru Fukiya; Masahito Hagio; Nobuyuki Fujii; Satoshi Ishizuka; Tadasuke Ooka; Yoshitoshi Ogura; Tetsuya Hayashi; Atsushi Yokota
Journal:  Gastroenterology       Date:  2011-08-10       Impact factor: 22.682

Review 2.  The interaction between bacteria and bile.

Authors:  Máire Begley; Cormac G M Gahan; Colin Hill
Journal:  FEMS Microbiol Rev       Date:  2005-09       Impact factor: 16.408

Review 3.  An overview of fecal sample preparation for global metabolic profiling.

Authors:  Olga Deda; Helen G Gika; Ian D Wilson; Georgios A Theodoridis
Journal:  J Pharm Biomed Anal       Date:  2015-02-14       Impact factor: 3.935

4.  Impact of storage conditions on the human stool metabolome and lipidome: Preserving the most accurate fingerprint.

Authors:  Margot De Spiegeleer; Marilyn De Graeve; Steve Huysman; Arno Vanderbeke; Lieven Van Meulebroek; Lynn Vanhaecke
Journal:  Anal Chim Acta       Date:  2020-02-26       Impact factor: 6.558

5.  Method Validation for Extraction of DNA from Human Stool Samples for Downstream Microbiome Analysis.

Authors:  Lorie Neuberger-Castillo; Gaël Hamot; Monica Marchese; Ignacio Sanchez; Wim Ammerlaan; Fay Betsou
Journal:  Biopreserv Biobank       Date:  2020-01-30       Impact factor: 2.300

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

Authors:  Santosh Lamichhane; Christian C Yde; Mette S Schmedes; Henrik Max Jensen; Sebastian Meier; Hanne Christine Bertram
Journal:  Anal Chem       Date:  2015-05-28       Impact factor: 6.986

7.  Comparison of Collection Methods for Fecal Samples for Discovery Metabolomics in Epidemiologic Studies.

Authors:  Erikka Loftfield; Emily Vogtmann; Joshua N Sampson; Steven C Moore; Heidi Nelson; Rob Knight; Nicholas Chia; Rashmi Sinha
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-08-19       Impact factor: 4.254

Review 8.  Bile acids as regulatory molecules.

Authors:  Phillip B Hylemon; Huiping Zhou; William M Pandak; Shunlin Ren; Gregorio Gil; Paul Dent
Journal:  J Lipid Res       Date:  2009-04-03       Impact factor: 5.922

9.  Cirrhosis, bile acids and gut microbiota: unraveling a complex relationship.

Authors:  Jason M Ridlon; Joao Marcelo Alves; Phillip B Hylemon; Jasmohan S Bajaj
Journal:  Gut Microbes       Date:  2013-07-12

10.  Transactivated Epidermal Growth Factor Receptor Recruitment of α-actinin-4 From F-actin Contributes to Invasion of Brain Microvascular Endothelial Cells by Meningitic Escherichia coli.

Authors:  Jiyang Fu; Liang Li; Xiaopei Yang; Ruicheng Yang; Nouman Amjad; Lu Liu; Chen Tan; Huanchun Chen; Xiangru Wang
Journal:  Front Cell Infect Microbiol       Date:  2019-01-09       Impact factor: 5.293

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