Literature DB >> 25582644

Predictive values of models of Clostridium difficile infection.

Caroline H Chilton1, Jane Freeman2.   

Abstract

In vivo and in vitro models are widely used to simulate Clostridium difficile infection (CDI). They have made considerable contributions in the study of C difficile pathogenesis, antibiotic predisposition to CDI, and population dynamics as well as the evaluation of new antimicrobial and immunologic therapeutics. Although CDI models have greatly increased understanding of this complicated pathogen, all have limitations in reproducing human disease, notably their inability to generate a truly reflective immune response. This review summarizes the most commonly used models of CDI and discusses their pros and cons and their predictive values in terms of clinical outcomes.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Animal model; Clostridium difficile infection; In vitro model

Mesh:

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Year:  2015        PMID: 25582644     DOI: 10.1016/j.idc.2014.11.011

Source DB:  PubMed          Journal:  Infect Dis Clin North Am        ISSN: 0891-5520            Impact factor:   5.982


  3 in total

Review 1.  Considerations for Infectious Disease Research Studies Using Animals.

Authors:  Lesley A Colby; Lauriane E Quenee; Lois A Zitzow
Journal:  Comp Med       Date:  2017-06-01       Impact factor: 0.982

Review 2.  Gleaning Insights from Fecal Microbiota Transplantation and Probiotic Studies for the Rational Design of Combination Microbial Therapies.

Authors:  Lauren E Hudson; Sarah E Anderson; Anita H Corbett; Tracey J Lamb
Journal:  Clin Microbiol Rev       Date:  2017-01       Impact factor: 26.132

3.  Omadacycline Gut Microbiome Exposure Does Not Induce Clostridium difficile Proliferation or Toxin Production in a Model That Simulates the Proximal, Medial, and Distal Human Colon.

Authors:  Ines B Moura; Anthony M Buckley; Duncan Ewin; Sharie Shearman; Emma Clark; Mark H Wilcox; Caroline H Chilton
Journal:  Antimicrob Agents Chemother       Date:  2019-01-29       Impact factor: 5.191

  3 in total

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