Evidence map›Paper›PMID 22076151›Full record

ArticlePloS one2011

An in vivo polymicrobial biofilm wound infection model to study interspecies interactions.

Trevor Dalton, Scot E Dowd, Randall D Wolcott, Yan Sun, Chase Watters, John A Griswold, Kendra P Rumbaugh

Abstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 189 papers.

0numbers the graph read from it
0cells of the map it votes in
189citing 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

189 citing papers in PubMed.

  1. Review
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  12. Insights into ecology, pathogenesis, and biofilm formation ofMicrobiology and molecular biology reviews : MMBR · 2025
    Review
  13. mBio · 2025
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  14. Towards improved biofilm models.Nature reviews. Microbiology · 2025
    Review
  15. Article
  16. JAC-antimicrobial resistance · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Article

129 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

7 authors.

Trevor DaltonDepartment of Surgery, Texas Tech University Health Sciences Center, Lubbock, Texas, United States of America.
Scot E Dowd
Randall D Wolcott
Yan Sun
Chase Watters
John A Griswold
Kendra P Rumbaugh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic wound infections are typically polymicrobial; however, most in vivo studies have focused on monospecies infections. This project was designed to develop an in vivo, polymicrobial, biofilm-related, infected wound model in order to study multispecies biofilm dynamics and in relation to wound chronicity. Multispecies biofilms consisting of both Gram negative and Gram positive strains, as well as aerobes and anaerobes, were grown in vitro and then transplanted onto the wounds of mice. These in vitro-to-in vivo multi-species biofilm transplants generated polymicrobial wound infections, which remained heterogeneous with four bacterial species throughout the experiment. We observed that wounded mice given multispecies biofilm infections displayed a wound healing impairment over mice infected with a single-species of bacteria. In addition, the bacteria in the polymicrobial wound infections displayed increased antimicrobial tolerance in comparison to those in single species infections. These data suggest that synergistic interactions between different bacterial species in wounds may contribute to healing delays and/or antibiotic tolerance.

Indexed as

Microbial InteractionsAnimalsAnti-Bacterial AgentsBacteriaBacterial InfectionsBiodiversityBiofilmsChronic DiseaseDNA, BacterialMiceReal-Time Polymerase Chain ReactionSpecies SpecificityWound HealingWound InfectionAnti-Bacterial AgentsDNA, Bacterial

Identifiers

PMID22076151
PMCPMC3208625

What OpenQuestion holds

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Registered trials

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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.