Evidence map›Paper›PMID 25548471›Full record

ReviewWorld journal of gastroenterology2014

Impact of the gut microbiota on rodent models of human disease.

Axel Kornerup Hansen, Camilla Hartmann Friis Hansen, Lukasz Krych, Dennis Sandris Nielsen

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in World journal of gastroenterology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. The 3Rs in Experimental Liver Disease.Animals : an open access journal from MDPI · 2023
    Review
  11. Article
  12. Review
  13. The role of goblet cells and mucus in intestinal homeostasis.Nature reviews. Gastroenterology & hepatology · 2022
    Review
  14. Article
  15. The microbiome and rodent models of immune mediated diseases.Mammalian genome : official journal of the International Mammalian Genome Society · 2021
    Review
  16. Health Monitoring of Laboratory Rodent Colonies-Talking about (R)evolution.Animals : an open access journal from MDPI · 2021
    Review
  17. The Role of the Microbiota in Regeneration-Associated Processes.Frontiers in cell and developmental biology · 2021
    Review
  18. An Oligosaccharide Rich Diet IncreasesFrontiers in microbiology · 2021
    Article
  19. The human microbiome in the 21Nature communications · 2020
    Article
  20. PCR and RT-PCR in the Diagnosis of Laboratory Animal Infections and in Health Monitoring.Journal of the American Association for Laboratory Animal Science : JAALAS · 2020
    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

4 authors.

Axel Kornerup HansenAxel Kornerup Hansen, Camilla Hartmann Friis Hansen, Section of Experimental Animal Models, Department of Veterinary Disease Biology, University of Copenhagen, 1871 Frederiksberg, Denmark.
Camilla Hartmann Friis HansenAxel Kornerup Hansen, Camilla Hartmann Friis Hansen, Section of Experimental Animal Models, Department of Veterinary Disease Biology, University of Copenhagen, 1871 Frederiksberg, Denmark.
Lukasz KrychAxel Kornerup Hansen, Camilla Hartmann Friis Hansen, Section of Experimental Animal Models, Department of Veterinary Disease Biology, University of Copenhagen, 1871 Frederiksberg, Denmark.
Dennis Sandris NielsenAxel Kornerup Hansen, Camilla Hartmann Friis Hansen, Section of Experimental Animal Models, Department of Veterinary Disease Biology, University of Copenhagen, 1871 Frederiksberg, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditionally bacteria have been considered as either pathogens, commensals or symbionts. The mammal gut harbors 10(14) organisms dispersed on approximately 1000 different species. Today, diagnostics, in contrast to previous cultivation techniques, allow the identification of close to 100% of bacterial species. This has revealed that a range of animal models within different research areas, such as diabetes, obesity, cancer, allergy, behavior and colitis, are affected by their gut microbiota. Correlation studies may for some diseases show correlation between gut microbiota composition and disease parameters higher than 70%. Some disease phenotypes may be transferred when recolonizing germ free mice. The mechanistic aspects are not clear, but some examples on how gut bacteria stimulate receptors, metabolism, and immune responses are discussed. A more deeper understanding of the impact of microbiota has its origin in the overall composition of the microbiota and in some newly recognized species, such as Akkermansia muciniphila, Segmented filamentous bacteria and Faecalibacterium prausnitzii, which seem to have an impact on more or less severe disease in specific models. Thus, the impact of the microbiota on animal models is of a magnitude that cannot be ignored in future research. Therefore, either models with specific microbiota must be developed, or the microbiota must be characterized in individual studies and incorporated into data evaluation.

Indexed as

MicrobiotaAnimalsBacteriaDisease Models, AnimalGastrointestinal DiseasesGastrointestinal TractHost-Pathogen InteractionsHumansMiceRatsSpecies SpecificitySpecific Pathogen-Free OrganismsAllergyAnimal modelsBehaviorCancerColitisDiabetesGut microbiotaObesity

Identifiers

PMID25548471
PMCPMC4273123

What OpenQuestion holds

Textmetadata
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.