Evidence map›Paper›PMID 39873520›Full record

ArticlemSystems2025

Comparison of different microbiome analysis pipelines to validate their reproducibility of gastric mucosal microbiome composition.

Konrad Lehr, Baptiste Oosterlinck, Chee Kin Then, Matthew R Gemmell, Rolandas Gedgaudas, Jan Bornschein, Juozas Kupcinskas, Annemieke Smet, Georgina Hold, Alexander Link and 1 more

Abstract readComparative Study
In one paragraph

Article in mSystems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

11 authors.

Konrad Lehr *Department of Gastroenterology, Hepatology and Infectious Diseases, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.ORCID 0000-0003-3213-8138
Baptiste Oosterlinck *Laboratory of Experimental Medicine and Pediatrics, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.ORCID 0000-0002-3740-9315
Chee Kin Then *MRC Oxford Institute for Radiation Oncology, Department of Oncology, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-3551-0767
Matthew R Gemmell *Centre for Genomic Research, University of Liverpool, Liverpool, United Kingdom.ORCID 0000-0002-2443-1986
Rolandas Gedgaudas *Institute for Digestive Research, Lithuanian University of Health Sciences, Kaunas, Lithuania.ORCID 0000-0003-0450-6044
Jan BornscheinMRC Translational Immune Discovery Unit, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-8673-3122
Juozas KupcinskasInstitute for Digestive Research, Lithuanian University of Health Sciences, Kaunas, Lithuania.ORCID 0000-0002-8760-7416
Annemieke SmetLaboratory of Experimental Medicine and Pediatrics, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.ORCID 0000-0002-1271-6191
Georgina HoldMicrobiome Research Centre, University of New South Wales, Sydney, Australia.ORCID 0000-0001-7573-3397
Alexander LinkDepartment of Gastroenterology, Hepatology and Infectious Diseases, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.ORCID 0000-0002-9514-4562
ENIGMA: European Network for the Investigation of Gastrointestinal Mucosal Alterations

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbiome analysis has become a crucial tool for basic and translational research due to its potential for translation into clinical practice. However, there is ongoing controversy regarding the comparability of different bioinformatic analysis platforms and a lack of recognized standards, which might have an impact on the translational potential of results. This study investigates how the performance of different microbiome analysis platforms impacts the final results of mucosal microbiome signatures. Across five independent research groups, we compared three distinct and frequently used microbiome analysis bioinformatic packages (DADA2, MOTHUR, and QIIME2) on the same subset of fastQ files. The source data set encompassed 16S rRNA gene raw sequencing data (V1-V2) from gastric biopsy samples of clinically well-defined gastric cancer (GC) patients (

Indexed as

Computational BiologyGastric MucosaGastrointestinal MicrobiomeMicrobiotaAgedFemaleHelicobacter InfectionsHelicobacter pyloriHumansMaleMiddle AgedReproducibility of ResultsRNA, Ribosomal, 16SStomach NeoplasmsRNA, Ribosomal, 16S16S rRNA gene sequencingDADA2gastric cancerHelicobacter pyloriMOTHURpipeline comparisonQIIME2

Identifiers

PMID39873520
PMCPMC11834405

What OpenQuestion holds

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Registered trials

None linked

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.