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Experimental models of pulmonary infection
1Department of Medical Microbiology and Infectious Diseases, Erasmus MC, P.O. Box 1738, 3000 DR Rotterdam, The Netherlands. i.bakker-woudenberg@erasmusmc.nl
Journal of Microbiological Methods
|July 5, 2003
Summary
This study reviews experimental models for pulmonary infections, detailing optimal design choices for animal models and infection routes. It also covers key monitoring parameters and summarizes various pathogen models in animals with different immune statuses.
Area of Science:
- Pulmonary Medicine
- Infectious Diseases
- Experimental Pathology
Background:
- Pulmonary infections pose significant health challenges, necessitating robust experimental models for research.
- Understanding host-pathogen interactions is crucial for developing effective treatments and preventative strategies.
Purpose of the Study:
- To provide a comprehensive overview of experimental models for pulmonary infections.
- To guide researchers in selecting appropriate animal species, infecting strains, and inoculation techniques.
- To outline essential parameters for monitoring pulmonary infections and assessing disease progression.
Main Methods:
- Review of experimental design principles for pulmonary infection models.
- Discussion of various inoculation routes: intranasal, aerosol, and direct lower respiratory tract instillation.
- Identification of key monitoring parameters including clinical signs, complications, mortality, and post-dissection analysis.
Main Results:
- Summaries of established models for bacterial, fungal, viral, and parasitic pulmonary infections.
- Consideration of models in both intact and impaired host defense mechanisms.
- Inclusion of key references for each summarized model.
Conclusions:
- Well-designed experimental models are critical for advancing the understanding of pulmonary infections.
- Careful selection of model parameters ensures reliable and reproducible research outcomes.
- This review serves as a valuable resource for researchers working on pulmonary infection models.