Galleria mellonella as an Infection and Antibiotic Treatment Model for Acinetobacter baumannii

Dawn White1, Ellen M E Sykes1, Ayush Kumar2

  • 1Department of Microbiology, University of Manitoba.

Insights

The waxworm model effectively tests antibiotic efficacy against Acinetobacter baumannii. The infect-and-treat method offers a time-saving alternative to traditional approaches for evaluating antimicrobial treatments.

Area of Science:

  • Microbiology
  • Infectious Diseases
  • Insect Models

Background:

  • Acinetobacter baumannii is a high-priority pathogen causing significant mortality.
  • Multidrug-resistant strains necessitate novel treatment strategies.
  • The Galleria mellonella model offers a cost-effective system for pathogen research.

Purpose of the Study:

  • To evaluate the utility of minimum inhibitory concentration (MIC) data in guiding antibiotic treatment in vivo.
  • To compare the efficacy of "infect-wait-treat" versus "infect-and-treat" assay styles.
  • To assess antibiotic effectiveness against diverse Acinetobacter baumannii strains using the waxworm model.

Main Methods:

  • Utilized three strains of Acinetobacter baumannii (type, hypervirulent clinical, environmental).
  • Employed the Galleria mellonella insect model for in vivo infection studies.
  • Compared two treatment assay methodologies: "infect-wait-treat" and "infect-and-treat".

Main Results:

  • Minimum inhibitory concentration data successfully guided initial antibiotic treatment testing.
  • Both "infect-wait-treat" and "infect-and-treat" methods showed similar trends in waxworm survival.
  • The "infect-and-treat" protocol demonstrated comparable informativeness to the "infect-wait-treat" method.

Conclusions:

  • The Galleria mellonella model is valuable for assessing antibiotic efficacy against Acinetobacter baumannii.
  • The "infect-and-treat" assay provides a time- and resource-efficient alternative for evaluating antimicrobial treatments.
  • MIC-guided treatment strategies are feasible in vivo using insect infection models.

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