Microbiome networks and change-point analysis reveal key community changes associated with cystic fibrosis pulmonary exacerbations.

ABSTRACT: Over 90% of cystic fibrosis (CF) patients die due to chronic lung infections leading to respiratory failure. The decline in CF lung function is greatly accelerated by intermittent and progressively severe acute pulmonary exacerbations (PEs). Despite their clinical impact, surprisingly few microbiological signals associated with PEs have been identified. Here we introduce an unsupervised, systems-oriented approach to identify key members of the microbiota. We used two CF sputum microbiome data sets that were longitudinally collected through periods spanning baseline health and PEs. Key taxa were defined based on three strategies: overall relative abundance, prevalence, and co-occurrence network interconnectedness. We measured the association between changes in the abundance of the key taxa

SUBMITTER: Layeghifard M 

PROVIDER: S-EPMC6341074 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature