Revealing the dynamics of polymicrobial infections: implications for antibiotic therapy

Geraint Rogers, Lucas Hoffman, Marvin Whiteley, Thomas Daniels, Mary Carroll, Kenneth Bruce

    Research output: Contribution to journalReview articlepeer-review

    54 Citations (Scopus)


    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
    Issue number8
    Publication statusPublished - Aug 2010


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