Abstract
Acute exacerbations of chronic obstructive pulmonary disease (COPD) are a major source of morbidity and contribute significantly to healthcare costs. Although bacterial infections are implicated in nearly 50% of exacerbations, only a handful of pathogens have been consistently identified in COPD airways, primarily by culture-based methods, and the bacterial microbiota in acute exacerbations remains largely uncharacterized. The aim of this study was to comprehensively profile airway bacterial communities using a culture-independent microarray, the 16S rRNA PhyloChip, of a cohort of COPD patients requiring ventilatory support and antibiotic therapy for exacerbation-related respiratory failure. PhyloChip analysis revealed the presence of over 1,200 bacterial taxa representing 140 distinct families, many previously undetected in airway diseases; bacterial community composition was strongly influenced by the duration of intubation. A core community of 75 taxa was detected in all patients, many of which are known pathogens. Bacterial community diversity in COPD airways is substantially greater than previously recognized and includes a number of potential pathogens detected in the setting of antibiotic exposure. Comprehensive assessment of the COPD airway microbiota using high-throughput, culture-independent methods may prove key to understanding the relationships between airway bacterial colonization, acute exacerbation, and clinical outcomes in this and other chronic inflammatory airway diseases.
Original language | English |
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Pages (from-to) | 9-59 |
Number of pages | 51 |
Journal | OMICS: A Journal of Integrative Biology |
Volume | 14 |
Issue number | 1 |
DOIs | |
Publication status | Published - Feb 2010 |
Keywords
- Aged
- Aged, 80 and over
- Bacteria/classification
- Base Sequence
- Bronchi/microbiology
- Bronchoalveolar Lavage Fluid
- Cohort Studies
- DNA Primers
- Female
- Humans
- Male
- Middle Aged
- Phylogeny
- Polymerase Chain Reaction
- Pulmonary Disease, Chronic Obstructive/microbiology
- RNA, Ribosomal, 16S/genetics