Evidence map›Paper›PMID 24512958›Full record

ArticleComparative medicine2014

Comparison of 3 real-time, quantitative murine models of staphylococcal biofilm infection by using in vivo bioluminescent imaging.

Kelly D Walton, Allison Lord, Lon V Kendall, Steven W Dow

Open access · greenAbstract readComparative Study
In one paragraph

Article in Comparative medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Novel rat tail discitis model using bioluminescent Staphylococcus aureus.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2017
    Article
  6. 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 at 1 institution in 1 country.

Kelly D WaltonDepartment of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA.
Allison LordDepartment of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA.
Lon V KendallDepartment of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA.
Steven W DowDepartment of Microbiology, Immunology and Pathology, Department of Clinical Sciences, Center for Immune and Regenerative Medicine, Colorado State University, Fort Collins, Colorado, USA. lon.kendall@colostate.edu.
Colorado State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biofilm formation represents a unique mechanism by which Staphylococcus aureus and other microorganisms avoid antimicrobial clearance and establish chronic infections. Treatment of these infections can be challenging, because the bacteria in the biofilm state are often resistant to therapies that are effective against planktonic bacteria of the same species. Effective animal models for the study of biofilm infections and novel therapeutics are needed. In addition, there is substantial interest in the use of noninvasive, in vivo data collection techniques to decrease the animal numbers required for the execution of infectious disease studies. To ad- dress these needs, we evaluated 3 murine models of implant-associated biofilm infection by using in vivo bioluminescent imaging techniques. The goal of these studies was to identify the model that was most amenable to development of sustained infections that could be imaged repeatedly in vivo by using bioluminescent technology. We found that the subcutaneous mesh and tibial intramedullary pin models both maintained consistent levels of bioluminescence for as long as 35 d after infection, with no implant loss experienced in either model. In contrast, a subcutaneous catheter model demonstrated significant incidence of incisional ab- scessation and implant loss by day 20 after infection. The correlation of bioluminescent measurements and bacterial enumeration was strongest with the subcutaneous mesh model. Among the 3 models we evaluated, the subcutaneous mesh model is the most appropriate animal model for prolonged study of biofilm infections by using bioluminescent imaging.

Indexed as

BiofilmsOptical ImagingAnimalsBacterial LoadBone NailsCatheter-Related InfectionsCatheters, IndwellingDisease Models, AnimalFemaleLuciferases, BacterialLuminescent MeasurementsMiceMice, Inbred ICRProsthesis-Related InfectionsStaphylococcal InfectionsStaphylococcus aureusLuciferases, Bacterial

Identifiers

PMID24512958
PMCPMC3929216
OpenAlexW341074669

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.