Murine Models for Staphylococcal Infection

Nathan Klopfenstein1,2, James E Cassat2,3,4,5,6, Andrew Monteith2,3

  • 1Division of Infectious Disease, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.

Current Protocols
|March 3, 2021
PubMed

Insights

This study details mouse models for Staphylococcus aureus infections, crucial for understanding immune responses and developing new treatments against this antibiotic-resistant bacterium.

Area of Science:

  • Microbiology
  • Immunology
  • Infectious Diseases

Background:

  • Staphylococcus aureus is a prevalent Gram-positive bacterium causing diverse human infections.
  • Antibiotic resistance and tissue damage complicate S. aureus infection treatment.
  • Abscess formation, involving neutrophils and macrophages, is a hallmark of S. aureus infections.

Purpose of the Study:

  • To describe in vivo mouse models for studying Staphylococcus aureus infections.
  • To investigate organ-specific immune responses and pathogen adaptations.
  • To facilitate the development of novel therapeutics against S. aureus.

Main Methods:

  • Utilizing fluorescent transgenic mice and bioluminescent bacteria for in vivo imaging.
  • Employing established murine models for subcutaneous infection and osteomyelitis.
  • Implementing tape stripping for skin infection models and intravenous inoculation.
  • Describing protocols for sample collection and bacterial inoculum preparation.

Main Results:

  • Mouse models allow detailed observation of host-pathogen dynamics in various organs.
  • In vivo imaging provides insights into immune cell behavior and bacterial spread.
  • These models enable assessment of bacterial load and inflammatory mediator production.

Conclusions:

  • In vivo mouse models are essential for understanding S. aureus pathogenesis and host immunity.
  • Advanced imaging techniques enhance the study of infection dynamics.
  • Developing effective therapeutics relies on a comprehensive understanding of host-pathogen interactions within these models.

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