Sputum microbiota and inflammation at stable state and during exacerbations in a cohort of chronic obstructive pulmonary disease (COPD) patients

被引:30
|
作者
Tangedal, Solveig [1 ,2 ]
Nielsen, Rune [1 ,2 ]
Aanerud, Marianne [2 ]
Persson, Louise J. [2 ]
Wiker, Harald G. [1 ,4 ]
Bakke, Per S. [1 ]
Hiemstra, Pieter S. [3 ]
Eagan, Tomas M. [1 ,2 ]
机构
[1] Univ Bergen, Fac Med, Dept Clin Sci, Bergen, Norway
[2] Haukeland Hosp, Dept Thorac Med, Bergen, Norway
[3] Leiden Univ, Dept Pulmonol, Med Ctr, Leiden, Netherlands
[4] Haukeland Hosp, Dept Microbiol, Bergen, Norway
来源
PLOS ONE | 2019年 / 14卷 / 09期
关键词
LUNG MICROBIOME; BACTERIAL; DYNAMICS;
D O I
10.1371/journal.pone.0222449
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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-alpha) 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 QIIME2 (TM) and the statistics environment R were applied for bioinformatics analyses. Results Levels of IP-10, MIG, TNF-alpha 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.
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页数:18
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