Back to Search Start Over

Development of a High-Throughput ex-Vivo Burn Wound Model Using Porcine Skin, and Its Application to Evaluate New Approaches to Control Wound Infection

Authors :
Alves, Diana R
Booth, Simon P
Scavone, Paola
Schellenberger, Pascale
Salvage, Jonathan
Dedi, Cinzia
Thet, Naing-Tun
Jenkins, A Toby A
Waters, Ryan
Ng, Keng W
Overall, Andrew D J
Metcalfe, Anthony D
Nzakizwanayo, Jonathan
Jones, Brian V
Source :
Frontiers in Cellular and Infection Microbiology. 8
Publication Year :
2018
Publisher :
Frontiers Media SA, 2018.

Abstract

Biofilm formation in wounds is considered a major barrier to successful treatment, and has been associated with the transition of wounds to a chronic non-healing state. Here, we present a novel laboratory model of wound biofilm formation using ex-vivo porcine skin and a custom burn wound array device. The model supports high-throughput studies of biofilm formation and is compatible with a range of established methods for monitoring bacterial growth, biofilm formation, and gene expression. We demonstrate the use of this model by evaluating the potential for bacteriophage to control biofilm formation by Staphylococcus aureus, and for population density dependant expression of S. aureus virulence factors (regulated by the Accessory Gene Regulator, agr) to signal clinically relevant wound infection. Enumeration of colony forming units and metabolic activity using the XTT assay, confirmed growth of bacteria in wounds and showed a significant reduction in viable cells after phage treatment. Confocal laser scanning microscopy confirmed the growth of biofilms in wounds, and showed phage treatment could significantly reduce the formation of these communities. Evaluation of agr activity by qRT-PCR showed an increase in activity during growth in wound models for most strains. Activation of a prototype infection-responsive dressing designed to provide a visual signal of wound infection, was related to increased agr activity. In all assays, excellent reproducibility was observed between replicates using this model

Details

Language :
English
ISSN :
22352988
Volume :
8
Database :
OpenAIRE
Journal :
Frontiers in Cellular and Infection Microbiology
Accession number :
edsair.dedup.wf.001..1b9f41054b0c330b18b0ecd086e29401
Full Text :
https://doi.org/10.3389/fcimb.2018.00196