Revealing the dynamics of polymicrobial infections: Implications for antibiotic therapy

Geraint B. Rogers, Lucas R. Hoffman, Marvin Whiteley, Thomas W.V. Daniels, Mary P. Carroll, Kenneth D. Bruce

Research output: Contribution to journalReview articlepeer-review

56 Citations (Scopus)

Abstract

As a new generation of culture-independent analytical strategies emerge, the amount of data on polymicrobial infections will increase dramatically. For these data to inform clinical thinking, and in turn to maximise benefits for patients, an appropriate framework for their interpretation is required. Here, we use cystic fibrosis (CF) lower airway infections as a model system to examine how conceptual and technological advances can address two clinical questions that are central to improved management of CF respiratory disease. Firstly, can markers of the microbial community be identified that predict a change in infection dynamics and clinical outcomes? Secondly, can these new strategies directly characterize the impact of antimicrobial therapies, allowing treatment efficacy to be both assessed and optimized?

Original languageEnglish
Pages (from-to)357-364
Number of pages8
JournalTrends in Microbiology
Volume18
Issue number8
DOIs
Publication statusPublished or Issued - Aug 2010
Externally publishedYes

ASJC Scopus subject areas

  • Microbiology (medical)
  • Infectious Diseases
  • Virology
  • Microbiology

Cite this