Journal article
Urinary tract infection of mice to model human disease: Practicalities, implications and limitations
Critical reviews in microbiology, v 42(5), pp 780-799
02 Sep 2016
PMID: 26006172
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Urinary tract infections (UTIs) are among the most common bacterial infections in humans. Murine models of human UTI are vital experimental tools that have helped to elucidate UTI pathogenesis and advance knowledge of potential treatment and infection prevention strategies. Fundamentally, several variables are inherent in different murine models, and understanding the limitations of these variables provides an opportunity to understand how models may be best applied to research aimed at mimicking human disease. In this review, we discuss variables inherent in murine UTI model studies and how these affect model usage, data analysis and data interpretation. We examine recent studies that have elucidated UTI host-pathogen interactions from the perspective of gene expression, and review new studies of biofilm and UTI preventative approaches. We also consider potential standards for variables inherent in murine UTI models and discuss how these might expand the utility of models for mimicking human disease and uncovering new aspects of pathogenesis.
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Details
- Title
- Urinary tract infection of mice to model human disease: Practicalities, implications and limitations
- Creators
- Alison J. Carey - Griffith UniversityChee K. Tan - Griffith UniversityDeepak S. Ipe - Griffith UniversityMatthew J. Sullivan - Griffith UniversityAllan W. Cripps - Griffith UniversityMark A. Schembri - The University of QueenslandGlen C. Ulett - Griffith University
- Publication Details
- Critical reviews in microbiology, v 42(5), pp 780-799
- Publisher
- Taylor & Francis
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Pediatrics; College of Medicine; Drexel University
- Web of Science ID
- WOS:000381095200007
- Scopus ID
- 2-s2.0-84979555295
- Other Identifier
- 991020099780104721
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InCites Highlights
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Microbiology