Evidence map›Paper›PMID 24585050›Full record

ReviewJournal of microbiology (Seoul, Korea)2014

Mechanisms of synergy in polymicrobial infections.

Justine L Murray, Jodi L Connell, Apollo Stacy, Keith H Turner, Marvin Whiteley

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of microbiology (Seoul, Korea), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed
7.5field-weighted citation impact, top 2% of its field
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

116 citing papers in PubMed, 220 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. In Vitro Analysis of Interactions BetweenAntibiotics (Basel, Switzerland) · 2025
    Article
  15. Microorganisms · 2025
    Article
  16. Ultrastructural polymicrobialFuture microbiology · 2025
    Article
  17. Review
  18. Review
  19. Review
  20. Review

56 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

5 authors at 1 institution in 1 country.

Justine L MurrayDepartment of Molecular Biosciences, Institute of Cell and Molecular Biology, Center for Infectious Disease, The University of Texas at Austin, Austin, TX, 78712, USA.
Jodi L Connell
Apollo Stacy
Keith H Turner
Marvin Whiteley
The University of Texas at Austin · US

Funding

Probing Polymicrobial Synergy Using hihg Throughout GenomicsR01DE023193 · NIDCR · UNIVERSITY OF TEXAS AT AUSTIN · PI LAMONT, RICHARD J, WHITELEY, MARVIN · 2013 to 2023
$4.7M
Metabolite sensing in a polymicrobial infectionR01DE020100 · NIDCR · UNIVERSITY OF TEXAS AT AUSTIN · PI WHITELEY, MARVIN · 2011 to 2022
$3.3M
Mechanisms of antibiotic resistance in confined microcoloniesR21AI097929 · NIAID · UNIVERSITY OF TEXAS AT AUSTIN · PI SHEAR, JASON BEN, WHITELEY, MARVIN · 2012 to 2013
$411k
NIAID NIH HHS 1R21AI097929-01NIDCR NIH HHS 1R01DE020100-01NIDCR NIH HHS 1R01DE023193-01
6 · The paper itself

Abstract

Communities of microbes can live almost anywhere and contain many different species. Interactions between members of these communities often determine the state of the habitat in which they live. When these habitats include sites on the human body, these interactions can affect health and disease. Polymicrobial synergy can occur during infection, in which the combined effect of two or more microbes on disease is worse than seen with any of the individuals alone. Powerful genomic methods are increasingly used to study microbial communities, including metagenomics to reveal the members and genetic content of a community and metatranscriptomics to describe the activities of community members. Recent efforts focused toward a mechanistic understanding of these interactions have led to a better appreciation of the precise bases of polymicrobial synergy in communities containing bacteria, eukaryotic microbes, and/or viruses. These studies have benefited from advances in the development of in vivo models of polymicrobial infection and modern techniques to profile the spatial and chemical bases of intermicrobial communication. This review describes the breadth of mechanisms microbes use to interact in ways that impact pathogenesis and techniques to study polymicrobial communities.

Indexed as

Bacterial Physiological PhenomenaMicrobial InteractionsAnimalsBacteriaBacterial InfectionsCoinfectionHost-Pathogen InteractionsHumans

Identifiers

PMID24585050
PMCPMC7090983
OpenAlexW1985434563

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.