Bioluminescent murine models of bacterial sepsis and scald wound infections for antimicrobial efficacy testing

Abiodun D Ogunniyi1, Zlatko Kopecki2, Elizabeth E Hickey1

  • 1Australian Centre for Antimicrobial Resistance Ecology, School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy, South Australia, Australia.

Plos One
|July 17, 2018
PubMed

Insights

New bioluminescent mouse models track bacterial infections continuously, reducing animal use. These models accurately reflect disease progression and aid in evaluating new antibiotic treatments for Staphylococcus aureus infections.

Area of Science:

  • Microbiology
  • Infectious Diseases
  • Biotechnology

Background:

  • Continuous monitoring models for bacterial infections are scarce.
  • Existing methods often require separate animal groups for each disease stage.
  • There's a need for refined models to study disease pathogenesis and evaluate treatments.

Purpose of the Study:

  • To develop bioluminescent mouse models for studying bacterial infections.
  • To mimic human and animal disease pathogenesis continuously.
  • To provide a platform for preclinical drug efficacy evaluation.

Main Methods:

  • Utilized a recombinant luciferase-expressing Staphylococcus aureus strain (Xen29).
  • Developed models for partial-thickness scald wound infection and sepsis.
  • Employed biophotonic imaging for real-time bacterial burden quantification.
  • Administered topical mupirocin for wound infections and daptomycin for sepsis.

Main Results:

  • Consistent bacterial burden data obtained from individual mice via photon intensity quantification.
  • Significant reduction in photon intensities observed in drug-treated mice.
  • Histopathology and blood bacterial counts correlated with disease severity and total flux.
  • Demonstrated the utility of bioluminescent imaging in tracking infection and treatment response.

Conclusions:

  • Bioluminescent murine models offer a refined, continuous method for studying bacterial infections.
  • These models reduce animal usage compared to traditional methods.
  • The platform efficiently supports preclinical evaluation of novel antimicrobial agents for Staphylococcus aureus infections.

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