Direct sampling of cystic fibrosis lungs indicates that DNA-based analyses of upper-airway specimens can misrepresent lung microbiota

• Published in: Proceedings of the National Academy of Sciences - PNAS 2012-08, Vol.109 (34), p.13769-13774
• Main Authors: Goddard, Amanda F, Staudinger, Benjamin J, Dowd, Scot E, Joshi-Datar, Amruta, Wolcott, Randall D, Aitken, Moira L, Fligner, Corinne L, Singh, Pradeep K
• Format: Article
• Language: English
• Subjects: Airway management; Anti-Bacterial Agents - pharmacology; Bacteria; Bacteria - genetics; Biological Sciences; Cystic fibrosis; Cystic Fibrosis - genetics; Datasets; Deoxyribonucleic acid; DNA; Humans; Lung - metabolism; Lung - microbiology; Lung diseases; Lungs; Metagenome - physiology; microbiome; Microbiota; oropharynx; Pathogens; patients; Pulmonary Medicine - methods; RNA, Ribosomal, 16S - metabolism; Sequence Analysis, DNA; Species Specificity; Specimen Handling; Specimens; Sputum; Sputum - microbiology; Taxa; Throat; Trachea - microbiology
• ISSN: 0027-8424; 1091-6490
• DOI: 10.1073/pnas.1107435109

Recent work using culture-independent methods suggests that the lungs of cystic fibrosis (CF) patients harbor a vast array of bacteria not conventionally implicated in CF lung disease. However, sampling lung secretions in living subjects requires that expectorated specimens or collection devices pass through the oropharynx. Thus, contamination could confound results. Here, we compared culture-independent analyses of throat and sputum specimens to samples directly obtained from the lungs at the time of transplantation. We found that CF lungs with advanced disease contained relatively homogenous populations of typical CF pathogens. In contrast, upper-airway specimens from the same subjects contained higher levels of microbial diversity and organisms not typically considered CF pathogens. Furthermore, sputum exhibited day-to-day variation in the abundance of nontypical organisms, even in the absence of clinical changes. These findings suggest that oropharyngeal contamination could limit the accuracy of DNA-based measurements on upper-airway specimens. This work highlights the importance of sampling procedures for microbiome studies and suggests that methods that account for contamination are needed when DNA-based methods are used on clinical specimens.