Evidence map›Paper›PMID 24734220›Full record

ReviewFrontiers in cellular and infection microbiology2014

Bacteriophages: an underestimated role in human and animal health?

Marianne De Paepe, Marion Leclerc, Colin R Tinsley, Marie-Agnès Petit

Abstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing 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

97 citing papers in PubMed.

  1. Trial
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  15. Article
  16. Guidelines to Compose an Ideal Bacteriophage Cocktail.Methods in molecular biology (Clifton, N.J.) · 2024
    Review
  17. The Next Generation Fecal Microbiota Transplantation: To Transplant Bacteria or Virome.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  18. Article
  19. Article
  20. Article

37 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.

Marianne De PaepeInstitut National de la Recherche Agronomique, Micalis, UMR 1319 Jouy en Josas, France ; Agroparistech, Micalis, UMR 1319 Jouy en Josas, France.
Marion LeclercInstitut National de la Recherche Agronomique, Micalis, UMR 1319 Jouy en Josas, France ; Agroparistech, Micalis, UMR 1319 Jouy en Josas, France.
Colin R TinsleyInstitut National de la Recherche Agronomique, Micalis, UMR 1319 Jouy en Josas, France ; Agroparistech, Micalis, UMR 1319 Jouy en Josas, France.
Marie-Agnès PetitInstitut National de la Recherche Agronomique, Micalis, UMR 1319 Jouy en Josas, France ; Agroparistech, Micalis, UMR 1319 Jouy en Josas, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metagenomic approaches applied to viruses have highlighted their prevalence in almost all microbial ecosystems investigated. In all ecosystems, notably those associated with humans or animals, the viral fraction is dominated by bacteriophages. Whether they contribute to dysbiosis, i.e., the departure from microbiota composition in symbiosis at equilibrium and entry into a state favoring human or animal disease is unknown at present. This review summarizes what has been learnt on phages associated with human and animal microbiota, and focuses on examples illustrating the several ways by which phages may contribute to a shift to pathogenesis, either by modifying population equilibrium, by horizontal transfer, or by modulating immunity.

Indexed as

EcosystemHealthMicrobiotaAnimalsBacteriophagesDysbiosisHomeostasisHumansbiological weaponcommunity shufflingdigestive tracthorizontal transfervirome

Identifiers

PMID24734220
PMCPMC3975094

What OpenQuestion holds

Textmetadata
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.