1. Sputum microbiota and inflammation at stable state and during exacerbations in a cohort of chronic obstructive pulmonary disease (COPD) patients.
- Author
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Tangedal S, Nielsen R, Aanerud M, Persson LJ, Wiker HG, Bakke PS, Hiemstra PS, and Eagan TM
- Subjects
- Adult, Aged, Antimicrobial Cationic Peptides metabolism, Biomarkers metabolism, Cohort Studies, Cytokines metabolism, Disease Progression, Female, Humans, Inflammation genetics, Inflammation metabolism, Male, Middle Aged, Pulmonary Disease, Chronic Obstructive metabolism, RNA, Ribosomal, 16S genetics, Respiratory System microbiology, Respiratory System pathology, Sputum, Inflammation pathology, Microbiota genetics, Pulmonary Disease, Chronic Obstructive microbiology, Pulmonary Disease, Chronic Obstructive pathology
- Abstract
Background: Exacerbations of chronic obstructive pulmonary disease (COPD) are debilitating events and spur disease progression. Infectious causes are frequent; however, it is unknown to what extent exacerbations are caused by larger shifts in the airways' microbiota. The aim of the current study was to analyse the changes in microbial composition between stable state and during exacerbations, and the corresponding immune response., Methods: The study sample included 36 COPD patients examined at stable state and exacerbation from the Bergen COPD Cohort and Exacerbations studies, and one patient who delivered sputum on 13 different occasions during the three-year study period. A physician examined the patients at all time points, and sputum induction was performed by stringent protocol. Only induced sputum samples were used in the current study, not spontaneously expectorated sputum. Sputum inflammatory markers (IL-6, IL-8, IL-18, IP-10, MIG, TNF-α) and antimicrobial peptides (AMPs, i.e. LL-37/hCAP-18, SLPI) were measured in supernatants, whereas target gene sequencing (16S rRNA) was performed on corresponding cell pellets. The microbiome bioinformatics platform QIIME2TM and the statistics environment R were applied for bioinformatics analyses., Results: Levels of IP-10, MIG, TNF-α and AMPs were significantly different between the two disease states. Of 36 sample pairs, 24 had significant differences in the 12 most abundant genera between disease states. The diversity was significantly different in several individuals, but not when data was analysed on a group level. The one patient case study showed longitudinal dynamics in microbiota unrelated to disease state., Conclusion: Changes in the sputum microbiota with changing COPD disease states are common, and are accompanied by changes in inflammatory markers. However, the changes are highly individual and heterogeneous events., Competing Interests: I have read the journal's policy and the authors of this manuscript have the following competing interests: Dr. Tangedal, Dr. Nielsen, Dr. Aanerud, Dr. Persson and Dr. Wiker have nothing to disclose. Dr. Bakke reports personal fees from Novartis, personal fees from AstraZeneca, personal fees from Chiesi, personal fees from Boehringer-Ingelheim, outside the submitted work. Dr. Hiemstra reports grants from Boehringer Ingelheim, grants from Galapagos, outside the submitted work. Dr. Eagan reports grants from Bergen Medical Research Foundation, during the conduct of the study; personal fees from Boehringer Ingelheim, outside the submitted work. This does not alter the authors' adherence to PLOS ONE policies on sharing data and materials.
- Published
- 2019
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