Next Article in Journal
Novel Agrobacterium fabrum str. 1D1416 for Citrus Transformation
Previous Article in Journal
The Association between Resistance and Virulence of Klebsiella pneumoniae in High-Risk Clonal Lineages ST86 and ST101
Previous Article in Special Issue
Gut Microbiota Composition Is Causally Linked to Multiple Sclerosis: A Mendelian Randomization Analysis
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Multi-Omics Analysis Unravels the Impact of Stool Sample Logistics on Metabolites and Microbial Composition

by
Jannike L. Krause
1,*,†,
Beatrice Engelmann
2,†,
David J. D. Lallinger
1,
Ulrike Rolle-Kampczyk
2,
Martin von Bergen
2,3,4 and
Hyun-Dong Chang
1,5
1
German Rheumatism Research Center Berlin, A Leibniz Institute—DRFZ, Schwiete Laboratory for Microbiota and Inflammation, 10117 Berlin, Germany
2
Helmholtz-Centre for Environmental Research—UFZ, Department of Molecular Toxicology, 04318 Leipzig, Germany
3
Institute of Biochemistry, Faculty of Biosciences, Pharmacy and Psychology, University of Leipzig, 04103 Leipzig, Germany
4
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, 04103 Leipzig, Germany
5
Department for Cytometry, Institute of Biotechnology, Technical University Berlin, 10115 Berlin, Germany
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Microorganisms 2024, 12(10), 1998; https://doi.org/10.3390/microorganisms12101998
Submission received: 16 August 2024 / Revised: 24 September 2024 / Accepted: 25 September 2024 / Published: 30 September 2024
(This article belongs to the Special Issue Effects of Gut Microbiota on Human Health and Disease)

Abstract

Human health and the human microbiome are inevitably intertwined, increasing their relevance in clinical research. However, the collection, transportation and storage of faecal samples may introduce bias due to methodological differences, especially since postal shipping is a common practise in large-scale clinical cohort studies. Using four different Omics layer, we determined the structural (16S rRNA sequencing, cytometric microbiota profiling) and functional integrity (SCFAs, global metabolome) of the microbiota in relation to different easy-to-handle conditions. These conditions were storage at −20 °C, −20 °C as glycerol stock, 4 °C and room temperature with and without oxygen exposure for a maximum of one week. Storage time affected the microbiota on all Omics levels. However, the magnitude was donor-dependent, highlighting the need for purpose-optimized sample collection in clinical multi-donor studies. The effects of oxygen exposure were negligible for all analyses. At ambient temperature, SCFA and compositional profiles were stable for 24 h and 48 h, respectively, while at 4 °C, SCFA profiles were maintained for 48 h. The global metabolome was highly susceptible, already changing at 24 h in non-frozen conditions. Thus, faecal microbiota was best preserved on all levels when transported as a native sample frozen within 24 h, leading to the least biased outcomes in the analysis. We conclude that the immediate freezing of native stool samples for transportation to the lab is best suited for planned multi-Omics analyses that include metabolomics to extend standard sequencing approaches.
Keywords: faecal samples; intestinal microbiota; storage conditions; untargeted metabolomics; short-chain fatty acids; microbiota flow cytometry; 16S rRNA sequencing faecal samples; intestinal microbiota; storage conditions; untargeted metabolomics; short-chain fatty acids; microbiota flow cytometry; 16S rRNA sequencing

Share and Cite

MDPI and ACS Style

Krause, J.L.; Engelmann, B.; Lallinger, D.J.D.; Rolle-Kampczyk, U.; Bergen, M.v.; Chang, H.-D. Multi-Omics Analysis Unravels the Impact of Stool Sample Logistics on Metabolites and Microbial Composition. Microorganisms 2024, 12, 1998. https://doi.org/10.3390/microorganisms12101998

AMA Style

Krause JL, Engelmann B, Lallinger DJD, Rolle-Kampczyk U, Bergen Mv, Chang H-D. Multi-Omics Analysis Unravels the Impact of Stool Sample Logistics on Metabolites and Microbial Composition. Microorganisms. 2024; 12(10):1998. https://doi.org/10.3390/microorganisms12101998

Chicago/Turabian Style

Krause, Jannike L., Beatrice Engelmann, David J. D. Lallinger, Ulrike Rolle-Kampczyk, Martin von Bergen, and Hyun-Dong Chang. 2024. "Multi-Omics Analysis Unravels the Impact of Stool Sample Logistics on Metabolites and Microbial Composition" Microorganisms 12, no. 10: 1998. https://doi.org/10.3390/microorganisms12101998

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop