A standardized wound infection model for antimicrobial testing of wound dressings in vitro

Cornelia Wiegand1, Sarah Fink1, Diana C Mogrovejo2

  • 1Department of Dermatology, Jena University Hospital, Jena, Germany.

PubMed

Insights

A novel human skin wound infection model effectively evaluates antimicrobial treatments. This model, using bacteria on a collagen matrix, shows reduced infection and inflammation when treated with antimicrobial dressings.

Area of Science:

  • Biomedical Engineering
  • Microbiology
  • Dermatology

Background:

  • Current 2D cultures and animal models have limited relevance to human skin wound infections.
  • There is a critical need for more accurate models to test antimicrobial agents.
  • Assessing antimicrobial efficacy requires models that mimic human physiology and infection dynamics.

Purpose of the Study:

  • To develop and validate a standardized, mechanically wounded human skin model for infection studies.
  • To assess the model's ability to replicate bacterial infection and host inflammatory responses.
  • To demonstrate the utility of the model in evaluating antimicrobial therapeutics.

Main Methods:

  • A mechanically wounded human skin explant model was created on a collagen matrix.
  • Clinically relevant bacteria were used to infect the wounded skin model.
  • The model was treated with an antimicrobial-releasing wound dressing to assess therapeutic effects.
  • Bacterial load and inflammatory response were quantified to measure treatment success.

Main Results:

  • The model successfully simulated bacterial infection, pathogen recognition, and inflammatory responses.
  • Untreated infections progressed, leading to significant tissue damage over time.
  • Antimicrobial dressing application reduced bacterial burden and decreased inflammatory markers.
  • The model demonstrated clear differences in treatment outcomes.

Conclusions:

  • The developed human skin wound infection model is a viable tool for evaluating antimicrobial therapeutics.
  • This model offers improved translatability compared to traditional 2D or animal models.
  • It provides a platform for studying host-pathogen interactions in a relevant context.

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