An in vitro and ex vivo wound infection model to test topical and systemic treatment with antibiotics

Research output: Contribution to journalArticlepeer-review

Abstract

Aims: This study aimed to develop a wound infection model that could be used to test antibiotic-loaded electrospun matrices for the topical treatment of infected skin and compare the effectiveness of this treatment to systemically applied antibiotics. Methods and Results: 3D-printed flow chambers were made in which Staphylococcus aureus biofilms were grown either on a polycarbonate membrane or explanted porcine skin. The biofilms were then treated either topically, by placing antibiotic-loaded electrospun matrices on top of the biofilms, or systemically by the addition of antibiotics in the growth medium that flowed underneath the membrane or skin. The medium that was used was either a rich medium or an artificial wound fluid. The results showed that microbial viability in the biofilms was reduced to a greater extent with the topical electrospun matrices when compared to systemic treatment. Conclusions: An ex vivo infection model was developed that is flexible and can be used to test both topical and systemic treatment of wound infections. It represents a significant improvement over previous in vitro models that we have used to test electrospun membranes. Significance and Impact of the Study: The availability of a relatively simple wound infection model in which different delivery methods and dosage regimes can be tested is beneficial for the development of improved treatments for wound infections.

Original languageEnglish
Pages (from-to)2993-3006
Number of pages14
JournalJournal of Applied Microbiology
Volume133
Issue number5
Early online date2 Aug 2022
DOIs
Publication statusPublished - Nov 2022

Bibliographical note

No funding acknowledged.

Keywords

  • Staphylococcus aureus
  • antibiotics
  • electrospinning
  • wound dressing
  • wound infection model

ASJC Scopus subject areas

  • Biotechnology
  • Applied Microbiology and Biotechnology

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