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Modeling Chronic Coccidioidomycosis in Mice.

Lisa F Shubitz1, Christine D Butkiewicz2, Hien T Trinh2

  • 1Valley Fever Center for Excellence, University of Arizona, Tucson, AZ, USA. Lfshubit@arizona.edu.

Methods in Molecular Biology (Clifton, N.J.)
|May 5, 2023
PubMed
Summary

This study presents a new mouse model for coccidioidomycosis, a fungal infection. This model mimics human disease progression, aiding research into adaptive immunity against Coccidioides.

Keywords:
CoccidioidesCp1038HistopathologyImmunologyIntranasalMiceQuiescentSurvival

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Area of Science:

  • Mycology
  • Immunology
  • Infectious Diseases

Background:

  • Coccidioidomycosis is a fungal disease caused by Coccidioides posadasii and C. immitis, endemic to specific regions.
  • Mice are crucial models for studying coccidioidomycosis, but their high susceptibility complicates research on adaptive immunity.
  • Existing models face challenges in replicating the human disease's slow progression and chronic granuloma formation.

Purpose of the Study:

  • To develop an improved mouse model for coccidioidomycosis.
  • To establish a model that accurately reflects human disease kinetics, including asymptomatic infection and chronic granulomas.
  • To facilitate the study of adaptive immune responses in coccidioidomycosis.

Main Methods:

  • Infection of mice with Coccidioides spp. to induce a specific disease phenotype.
  • Monitoring of infection progression, granuloma formation, and host survival.
  • Characterization of the host-pathogen interaction in a controlled experimental setting.

Main Results:

  • Successful induction of asymptomatic Coccidioides infection in mice.
  • Establishment of controlled, chronic granulomas mirroring human pathology.
  • Demonstration of a slowly progressive, ultimately fatal infection with kinetics similar to human coccidioidomycosis.

Conclusions:

  • The developed mouse model offers a more accurate representation of human coccidioidomycosis.
  • This model is valuable for investigating adaptive immunity and host-pathogen dynamics.
  • Further research using this model can advance understanding and treatment of coccidioidomycosis.