Evidence map›Paper›PMID 39458307›Full record

ArticleMicroorganisms2024

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

Jannike L Krause, Beatrice Engelmann, David J D Lallinger, Ulrike Rolle-Kampczyk, Martin von Bergen, Hyun-Dong Chang

Abstract read
In one paragraph

Article in Microorganisms, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jannike L KrauseGerman Rheumatism Research Center Berlin, A Leibniz Institute-DRFZ, Schwiete Laboratory for Microbiota and Inflammation, 10117 Berlin, Germany.ORCID 0000-0001-8514-9979
Beatrice EngelmannHelmholtz-Centre for Environmental Research-UFZ, Department of Molecular Toxicology, 04318 Leipzig, Germany.ORCID 0000-0002-8807-9651
David J D LallingerGerman Rheumatism Research Center Berlin, A Leibniz Institute-DRFZ, Schwiete Laboratory for Microbiota and Inflammation, 10117 Berlin, Germany.
Ulrike Rolle-KampczykHelmholtz-Centre for Environmental Research-UFZ, Department of Molecular Toxicology, 04318 Leipzig, Germany.ORCID 0000-0002-7728-6284
Martin von BergenHelmholtz-Centre for Environmental Research-UFZ, Department of Molecular Toxicology, 04318 Leipzig, Germany.
Hyun-Dong ChangGerman Rheumatism Research Center Berlin, A Leibniz Institute-DRFZ, Schwiete Laboratory for Microbiota and Inflammation, 10117 Berlin, Germany.

Funding

Deutsche Forschungsgemeinschaft 375876048Dr. Rolf M. Schwiete StiftungInnovative Medicines Initiative 831434Novo Nordisk Foundation NNF21OC0066551
6 · The paper itself

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.

Indexed as

16S rRNA sequencingfaecal samplesintestinal microbiotamicrobiota flow cytometryshort-chain fatty acidsstorage conditionsuntargeted metabolomics

Identifiers

PMID39458307
PMCPMC11509235

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.