Evidence map›Paper›PMID 27065973›Full record

ReviewFrontiers in microbiology2016

Gnotobiotic Rodents: An In Vivo Model for the Study of Microbe-Microbe Interactions.

Rebeca Martín, Luis G Bermúdez-Humarán, Philippe Langella

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

  1. Pooled it
  2. Article
  3. Review
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  5. Review
  6. Decoding Blastocystis-Driven Mechanisms in Gut Microbiota and Host Metabolism.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Detangling the Crosstalk BetweenFrontiers in cellular and infection microbiology · 2022
    Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. Intestinal microbiota: The hidden gems in the gut?Asian Pacific journal of allergy and immunology · 2020
    Review
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

3 authors.

Rebeca MartínMicalis Institute, INRA, AgroParisTech, Université Paris-Saclay Jouy-en-Josas, France.
Luis G Bermúdez-HumaránMicalis Institute, INRA, AgroParisTech, Université Paris-Saclay Jouy-en-Josas, France.
Philippe LangellaMicalis Institute, INRA, AgroParisTech, Université Paris-Saclay Jouy-en-Josas, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Germ-free rodents have no microorganisms living in or on them, allowing researchers to specifically control an animal's microbiota through the direct inoculation of bacteria of interest. This strategy has been widely used to decipher host-microbe interactions as well as the role of microorganisms in both (i) the development and function of the gut barrier (mainly the intestinal epithelium) and (ii) homeostasis and its effects on human health and disease. However, this in vivo model also offers a more realistic environment than an assay tube in which to study microbe-microbe interactions, without most of the confounding interactions present in the intestinal microbiota of conventionally raised mice. This review highlights the usefulness of controlled-microbiota mice in studying microbe-microbe interactions. To this end, we summarize current knowledge on germ-free animals as an experimental model for the study of the ecology and metabolism of intestinal bacteria as well as of microbe-microbe interactions.

Indexed as

bacterial interactionsgerm-freegnotobiologyintestinal bacteriamicrobiota

Identifiers

PMID27065973
PMCPMC4814450

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.