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J Allergy Clin Immunol. 2015 Oct;136(4):874-84. doi: 10.1016/j.jaci.2015.05.044. Epub 2015 Jul 26.

The airway microbiome in patients with severe asthma: Associations with disease features and severity.

Author information

1
Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Mich. Electronic address: yvjhuang@umich.edu.
2
Division of Pulmonary, Critical Care, Allergy & Sleep Medicine, University of California San Francisco, San Francisco, Calif.
3
Genentech, South San Francisco, Calif.
4
Division of Gastroenterology, University of California San Francisco, San Francisco, Calif.

Abstract

BACKGROUND:

Asthma is heterogeneous, and airway dysbiosis is associated with clinical features in patients with mild-to-moderate asthma. Whether similar relationships exist among patients with severe asthma is unknown.

OBJECTIVE:

We sought to evaluate relationships between the bronchial microbiome and features of severe asthma.

METHODS:

Bronchial brushings from 40 participants in the Bronchoscopic Exploratory Research Study of Biomarkers in Corticosteroid-refractory Asthma (BOBCAT) study were evaluated by using 16S ribosomal RNA-based methods. Relationships to clinical and inflammatory features were analyzed among microbiome-profiled subjects. Secondarily, bacterial compositional profiles were compared between patients with severe asthma and previously studied healthy control subjects (n = 7) and patients with mild-to-moderate asthma (n = 41).

RESULTS:

In patients with severe asthma, bronchial bacterial composition was associated with several disease-related features, including body mass index (P < .05, Bray-Curtis distance-based permutational multivariate analysis of variance; PERMANOVA), changes in Asthma Control Questionnaire (ACQ) scores (P < .01), sputum total leukocyte values (P = .06), and bronchial biopsy eosinophil values (per square millimeter, P = .07). Bacterial communities associated with worsening ACQ scores and sputum total leukocyte values (predominantly Proteobacteria) differed markedly from those associated with body mass index (Bacteroidetes/Firmicutes). In contrast, improving/stable ACQ scores and bronchial epithelial gene expression of FK506 binding protein (FKBP5), an indicator of steroid responsiveness, correlated with Actinobacteria. Mostly negative correlations were observed between biopsy eosinophil values and Proteobacteria. No taxa were associated with a TH2-related epithelial gene expression signature, but expression of TH17-related genes was associated with Proteobacteria. Patients with severe asthma compared with healthy control subjects or patients with mild-to-moderate asthma were significantly enriched in Actinobacteria, although the largest differences observed involved a Klebsiella genus member (7.8-fold increase in patients with severe asthma, adjusted P < .001).

CONCLUSIONS:

Specific microbiota are associated with and may modulate inflammatory processes in patients with severe asthma and related phenotypes. Airway dysbiosis in patients with severe asthma appears to differ from that observed in those with milder asthma in the setting of inhaled corticosteroid use.

KEYWORDS:

16S ribosomal RNA; Microbiota; T(H)2; asthma control; body mass index; inflammation; lung; steroids

Comment in

PMID:
26220531
PMCID:
PMC4600429
DOI:
10.1016/j.jaci.2015.05.044
[Indexed for MEDLINE]
Free PMC Article

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