Evidence map›Paper›PMID 22905182›Full record

ArticlePloS one2012

Comparative analysis of single-species and polybacterial wound biofilms using a quantitative, in vivo, rabbit ear model.

Akhil K Seth, Matthew R Geringer, Seok J Hong, Kai P Leung, Robert D Galiano, Thomas A Mustoe

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

44 citing papers in PubMed, 89 citations in OpenAlex.

  1. Preparing a Dual-SpeciesMolecular pharmaceutics · 2025
    Article
  2. Article
  3. Article
  4. Biofilm-Associated Infections in Chronic Wounds and Their Management.Advances in experimental medicine and biology · 2023
    Article
  5. Mild magnetic hyperthermia is synergistic with an antibiotic treatment against dual species biofilms consisting ofInternational journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2023
    Article
  6. Review
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  10. Article
  11. Virulence and Drug-Resistance ofInternational journal of environmental research and public health · 2021
    Article
  12. Article
  13. Review
  14. Skin Microbiota and its Interplay with Wound Healing.American journal of clinical dermatology · 2020
    Review
  15. Review
  16. Article
  17. Article
  18. Development of Pseudomonas aeruginosa Biofilms in Partial-Thickness Burn Wounds Using a Sprague-Dawley Rat Model.Journal of burn care & research : official publication of the American Burn Association · 2019
    Article
  19. Article
  20. 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

6 authors at 2 institutions in 1 country.

Akhil K SethDivision of Plastic Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America. akhil-seth@fsm.northwestern.edu
Matthew R Geringer
Seok J Hong
Kai P Leung
Robert D Galiano
Thomas A Mustoe
Northwestern University · USUnited States Army Institute of Surgical Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe recent literature suggests that chronic wound biofilms often consist of multiple bacterial species. However, without appropriate in vivo, polybacterial biofilm models, our understanding of these complex infections remains limited. We evaluate and compare the effect of single- and mixed-species biofilm infections on host wound healing dynamics using a quantitative, in vivo, rabbit ear model.

methodsSix-mm dermal punch wounds in New Zealand rabbit ears were inoculated with Staphylococcus aureus strain UAMS-1, Pseudomonas aeruginosa strain PAO1, or both, totaling 10/6 colony-forming units/wound. Bacterial proliferation and maintenance in vivo were done using procedures from our previously published model. Wounds were harvested for histological measurement of wound healing, viable bacterial counts using selective media, or inflammatory cytokine (IL-1β, TNF-α) expression via quantitative reverse-transcription PCR. Biofilm structure was studied using scanning electron microscopy (SEM). For comparison, biofilm deficient mutant UAMS-929 replaced strain UAMS-1 in some mixed-species infections.

resultsBacterial counts verified the presence of both strains UAMS-1 and PAO1 in polybacterial wounds. Over time, strain PAO1 became predominant (p<0.001). SEM showed colocalization of both species within an extracellular matrix at multiple time-points. Compared to each monospecies infection, polybacterial biofilms impaired all wound healing parameters (p<0.01), and increased expression of IL-1β and TNF-α (p<0.05). In contrast, mixed-species infections using biofilm-deficient mutant UAMS-929 instead of wild-type strain UAMS-1 showed less wound impairment (p<0.01) with decreased host cytokine expression (p<0.01), despite a bacterial burden and distribution comparable to that of mixed-wild-type wounds.

conclusionsThis study reveals that mixed-species biofilms have a greater impact on wound healing dynamics than their monospecies counterparts. The increased virulence of polybacterial biofilm appears dependent on the combined pathogenicity of each species, verified using a mutant strain. These data suggest that individual bacterial species can interact synergistically within a single biofilm structure.

Indexed as

BiofilmsAnimalsCell LineCytokinesEarFemaleInflammationMiceMicroscopy, Electron, ScanningPseudomonas aeruginosaPseudomonas InfectionsRabbitsRNA, MessengerStaphylococcus aureusTime FactorsWound HealingCytokinesRNA, Messenger

Identifiers

PMID22905182
PMCPMC3414496
OpenAlexW2008009348

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.