Evaluation of hepatic disease in mice following intradermal inoculation with Corynebacterium pseudotuberculosis

Nathan C Nieto1, Janet E Foley, N James MacLachlan

  • 1Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, CA 95616, USA.

Abstract

Insights

Rapid-growing Corynebacterium pseudotuberculosis strains caused more severe liver lesions and bacterial dissemination in mice than slow-growing strains. C3H/HeJ mice offer a valuable model for studying C pseudotuberculosis virulence.

Area of Science:

  • Veterinary Microbiology
  • Infectious Diseases
  • Animal Pathology

Background:

  • Corynebacterium pseudotuberculosis is an important pathogen in equids.
  • Studying host-pathogen interactions in naturally infected animals is challenging due to variability.
  • Understanding virulence factors is crucial for disease control.

Purpose of the Study:

  • To compare the clinical, microbiologic, and pathologic outcomes of infection with equine-origin C pseudotuberculosis strains in mice.
  • To evaluate the C3H/HeJ mouse model for studying C pseudotuberculosis virulence.

Main Methods:

  • Four equine-origin C pseudotuberculosis strains (two rapid-growing, two slow-growing) were used.
  • C3H/HeJ mice were inoculated with C pseudotuberculosis strains via an optimized route.
  • Clinical signs, bacterial loads, and histopathologic lesions were assessed.

Main Results:

  • All strains targeted the liver, with rapid-growing strains causing more severe coagulative necrosis and inflammation.
  • Significantly higher bacterial recovery from organs (liver, spleen, lungs, lymph nodes) was observed with rapid-growing strains.
  • Slow-growing strains resulted in less severe hepatic lesions and limited bacterial dissemination.

Conclusions:

  • Rapid-growing C pseudotuberculosis strains exhibit greater virulence and dissemination potential in C3H/HeJ mice.
  • The C3H/HeJ mouse model is suitable for investigating C pseudotuberculosis virulence mechanisms.
  • This model can help overcome challenges associated with studying natural infections.

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