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Background: In all chronic airway diseases, the dynamics of airway function are influenced by underlying airway inflammation and bronchial hyperresponsiveness along with limitations in reversibility owing to airway and lung remodeling as well as mucous plugging. The relative contribution of each component translates into specific clinical patterns of symptoms, quality of life, exacerbation risk, and treatment success., Objective: We aimed to evaluate whether subgrouping of patients with obstructive airway diseases according to patterns of fluctuation in lung function allows identification of specific phenotypes with distinct clinical characteristics., Methods: We applied the novel method of fluctuation-based clustering (FBC) to twice-daily FEV 1 measurements recorded over a 1-year period in a mixed group of 134 adults with mild-to-moderate asthma, severe asthma, or chronic obstructive pulmonary disease from the European BIOAIR cohort., Results: Independently of clinical diagnosis, FBC divided patients into 4 fluctuation-based clusters with progressively increasing alterations in lung function that corresponded to patterns of increasing clinical severity, risk of exacerbation, and lower quality of life. Clusters of patients with airway disease with significantly elevated levels of biomarkers relating to remodeling (osteonectin) and cellular senescence (plasminogen activator inhibitor-1), accompanied by a loss of airway reversibility, pulmonary hyperinflation, and loss of diffusion capacity, were identified. The 4 clusters generated were stable over time and revealed no differences in levels of markers of type 2 inflammation (blood eosinophils and periostin)., Conclusion: FBC-based phenotyping provides another level of information that is complementary to clinical diagnosis and unrelated to eosinophilic inflammation, which could identify patients who may benefit from specific treatment strategies or closer monitoring., (Copyright © 2021. Published by Elsevier Inc.)

Rationale: Cigarette smoking worsens asthma and is associated with reduced response to corticosteroid therapy. As cigarette smoke is known to have immunomodulatory effects, we hypothesized that one mechanism by which smoking mediates its adverse effect is by reduction of the numbers of bronchial mucosal dendritic cells (DCs), which control B-cell growth and T-cell responses., Objectives: We set out to sample the bronchial mucosa in smoking and never-smoking patients with asthma and to count DCs, B cells, and cells expressing genes for two key T-lymphocyte regulatory cytokines., Methods: Twenty-one never-smoker patients with asthma (6 steroid naive), 24 smoker patients with asthma (9 steroid naive), and 10 healthy never-smokers (control subjects) were recruited and their endobronchial biopsy samples were immunostained for detection of mature DCs (CD83(+)), Langerhans cells (CD1a(+)), B lymphocytes (CD20(+)), and helper T-cell type 1 (IFN-gamma) and helper T-cell type 2 (IL-4) cytokine-expressing cells., Measurements and Main Results: The number (per square millimeter) of CD83(+) mature DCs was significantly lower in smoker patients with asthma (median [range]: 37 [0, 131]) in comparison with never-smoker steroid-naive and steroid-treated patients with asthma (76 [24, 464]; p = 0.006) or control subjects (85 [40, 294]; p = 0.004). Moreover, B cells were fewer in smoker (26 [4, 234]) versus never-smoker steroid-naive and steroid-treated patients with asthma (45 [10, 447]; p = 0.01) and in smoker steroid-naive patients with asthma (23 [4, 111]) versus control subjects (34 [10, 130]; p = 0.05). The number of cells expressing IFN-gamma showed a trend toward fewer in smoker (70 [6, 24]) versus never-smoker steroid-naive patients with asthma (144 [44, 323]; p = 0.10)., Conclusions: There are important and statistically significant differences in the number of CD83(+) mature DCs and B cells in the large airways of smokers with asthma. We speculate that their reductions may render patients with asthma less responsive to corticosteroids and more susceptible to infection.