Evidence map›Paper›PMID 25561744›Full record

SynthesisDisease models & mechanisms2015

How informative is the mouse for human gut microbiota research?

Thi Loan Anh Nguyen, Sara Vieira-Silva, Adrian Liston, Jeroen Raes

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Disease models & mechanisms, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 777 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
777citing papers in PubMed, 8 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

777 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
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  3. A Systematic Review to Reassess the Formula for Early Life Growth.Advances in nutrition (Bethesda, Md.) · 2026
    Pooled it
  4. Zearalenone exposure and the mammalian gut microbiome: a systematic review of the literature.Toxicological sciences : an official journal of the Society of Toxicology · 2026
    Pooled it
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  9. Trial
  10. Article
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  13. Gut microbes · 2026
    Review
  14. Review
  15. Humanizing Zophobas morio larvae microbiota for rapid screening of emerging decolonization strategies against multidrug-resistant bacteria.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
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717 more citing papers are in PubMed but not listed here.

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

4 authors.

Thi Loan Anh NguyenKU Leuven, Department of Microbiology and Immunology, Rega Institute, Herestraat 49, B-3000 Leuven, Belgium. VIB, Center for the Biology of Disease, Herestraat 49, B-3000 Leuven, Belgium. Microbiology Unit, Faculty of Sciences and Bioengineering Sciences, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussels, Belgium.
Sara Vieira-SilvaKU Leuven, Department of Microbiology and Immunology, Rega Institute, Herestraat 49, B-3000 Leuven, Belgium. VIB, Center for the Biology of Disease, Herestraat 49, B-3000 Leuven, Belgium. Microbiology Unit, Faculty of Sciences and Bioengineering Sciences, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussels, Belgium.
Adrian ListonKU Leuven, Department of Microbiology and Immunology, Rega Institute, Herestraat 49, B-3000 Leuven, Belgium. VIB, Center for the Biology of Disease, Herestraat 49, B-3000 Leuven, Belgium.
Jeroen RaesKU Leuven, Department of Microbiology and Immunology, Rega Institute, Herestraat 49, B-3000 Leuven, Belgium. VIB, Center for the Biology of Disease, Herestraat 49, B-3000 Leuven, Belgium. Microbiology Unit, Faculty of Sciences and Bioengineering Sciences, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussels, Belgium. jeroen.raes@med.kuleuven.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microbiota of the human gut is gaining broad attention owing to its association with a wide range of diseases, ranging from metabolic disorders (e.g. obesity and type 2 diabetes) to autoimmune diseases (such as inflammatory bowel disease and type 1 diabetes), cancer and even neurodevelopmental disorders (e.g. autism). Having been increasingly used in biomedical research, mice have become the model of choice for most studies in this emerging field. Mouse models allow perturbations in gut microbiota to be studied in a controlled experimental setup, and thus help in assessing causality of the complex host-microbiota interactions and in developing mechanistic hypotheses. However, pitfalls should be considered when translating gut microbiome research results from mouse models to humans. In this Special Article, we discuss the intrinsic similarities and differences that exist between the two systems, and compare the human and murine core gut microbiota based on a meta-analysis of currently available datasets. Finally, we discuss the external factors that influence the capability of mouse models to recapitulate the gut microbiota shifts associated with human diseases, and investigate which alternative model systems exist for gut microbiota research.

Indexed as

Disease Models, AnimalMicrobiotaAnimalsColitisDatabases, FactualDietGenotypeHumansInflammatory Bowel DiseasesIntestinal MucosaIntestinesMiceObesityPhenotypeTranslational Research, BiomedicalGut microbiotaHumanized mouse modelsMouse core gut microbiotaMouse modelsMouse pan-gut microbiota

Identifiers

PMID25561744
PMCPMC4283646

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.