Evidence map›Paper›PMID 40873297›Full record

ArticleProteomics2025

Metaproteomic Analysis to Assess the Impact of Storage Media on Human Gut Microbiome in Fecal Samples.

Van-An Duong, Evan Pan, Prerna Dabral, Kristina M Utzschneider, Johanna W Lampe, Ru Chen, Meredith A J Hullar

Abstract read
In one paragraph

Article in Proteomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Van-An DuongThe Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center At Houston, Houston, Texas, USA.ORCID 0000-0002-4676-1804
Evan PanDepartment of Computer Science and Engineering, Texas A&M University, College Station, Texas, USA.
Prerna DabralDepartment of Medicine, Baylor College of Medicine, Houston, Texas, USA.
Kristina M UtzschneiderDepartment of Medicine, VA Puget Sound Health Care System and the University of Washington, Seattle, Washington, USA.
Johanna W LampeFred Hutchinson Cancer Center, Division of Public Health Sciences, Seattle, Washington, USA.
Ru ChenDepartment of Medicine, Baylor College of Medicine, Houston, Texas, USA.
Meredith A J HullarFred Hutchinson Cancer Center, Division of Public Health Sciences, Seattle, Washington, USA.

Funding

PILOT STUDY--CLINICAL NUTRITION RESEARCHP30DK035816 · NIDDK · UNIVERSITY OF WASHINGTON · PI GREGORY J MORTON · 1986 to 2026
$30.4M
Elucidating the role of gut microbiota in colitis-associated colorectal cancerR01CA276173 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Ru Chen, Sheng Pan · 2023 to 2026
$2.5M
Biomarkers for Early Detection of Colorectal Cancer in Ulcerative ColitisR01CA211892 · NCI · UNIVERSITY OF WASHINGTON · PI CHEN, RU · 2017 to 2022
$2.3M
National Institutes of Health (NIH) R01CA211892National Institutes of Health (NIH) R01CA276173NCI NIH HHS R01 CA211892NCI NIH HHS R01 CA276173NIDDK NIH HHS P30 DK035816
6 · The paper itself

Abstract

The human gut microbiome is a diverse community of microorganisms residing in the gastrointestinal tract. The storage condition of fecal samples may impact the taxonomic and protein compositions of microbiomes in these samples. Here, we performed a mass spectrometry-based metaproteomic study to assess the impact of storage media on human gut microbiome in fecal samples. We evaluated FDA-authorized OMNIgene·GUT (OG), phosphate-buffered saline (PBS), and RNALater (RNAL) buffers and identified 38,185 microbial peptides corresponding to 7348 microbial proteins, which matched 16 phyla, 20 classes, 50 orders, 104 families, 332 genera, and 453 species. We found a high similarity among the fecal microbiomes preserved in OG, PBS, and RNAL in terms of the identification of proteins, taxa, and functional annotations. Both alpha and beta diversity suggested the high similarity among samples stored in the three media. Nonetheless, we also found some notable differences among buffers regarding the abundances of a few taxon groups. A partial human proteome (over 400 proteins) was identified in the fecal samples, with most of these proteins associated with the membrane and extracellular regions. The findings indicate the similarity among microbiomes in the fecal samples stored in OG, PBS, and RNAL regarding proteome profile, taxa, and functional capacity. SUMMARY: This study thoroughly analyzed and compared the metaproteomes of fecal samples preserved at -80°C in PBS, RNALater, and OMNIgene·GUT Dx buffers, offering novel insights into the effectiveness of these buffers in maintaining the stability and composition of the human gut microbiome. We found a high similarity in the identification and quantification of proteins, taxa, and functional annotations across the three buffers, with notable quantitative differences highlighting subtle yet important variations in preservation efficacy. The unique datasets and findings could offer valuable revelations into the impact of fecal sample preservation on translational and clinical analyses of the human gut microbiome.

Indexed as

FecesGastrointestinal MicrobiomeProteomeProteomicsSpecimen HandlingBacterial ProteinsBuffersHumansBacterial ProteinsBuffersProteomebioinformaticsbottom‐up proteomicsfecal samplehuman gut microbiomemass spectrometrymetaproteomicsstorage media

Identifiers

PMID40873297
PMCPMC12491931

What OpenQuestion holds

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LicenceCC BY-NC
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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.