Purpose of review
Almost 15 years have now passed since bacterial community profiling techniques were first used to analyse respiratory samples from people with cystic fibrosis. Since then, many different analytical approaches have been used to try to better understand the contribution of the CF lung microbiota to disease, with varying degrees of success. We examine the extent to which CF respiratory microbiome research has been successful in informing clinical decision making, and highlight areas that we believe have the potential to yield important insight.
Recent findings
Recent research on the CF lung microbiome can be broadly divided into efforts to better characterise microbiota composition, particularly relative to key clinical events, and attempts to understand the CF lung microbiology as an interactive microbial system. The latter, in particular, has led to the development of a number of models in which microbiome-mediated processes precipitate clinical events.
Summary
Growing technological sophistication is enabling increasingly detailed microbiological data to be generated from CF respiratory samples. However, translating these data into clinically useful measures that accurately predict outcomes and guide treatments remains a formidable challenge. The development of systems biology approaches that enable the integration of complex microbiome and host-derived data provide an exciting opportunity to address this goal.