AI Article Synopsis

Article Abstract

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.

Download full-text PDF

Source
http://dx.doi.org/10.1164/rccm.200607-908OCDOI Listing

Publication Analysis

Top Keywords

patients asthma
36
asthma
12
control subjects
12
mature dcs
12
never-smoker steroid-naive
12
patients
9
cigarette smoking
8
bronchial mucosal
8
dcs cells
8
cells expressing
8

Similar Publications

Introduction: Allergic rhinitis is the specific inflammation against allergen by immune defense cells on the nasal mucosa, which can lead to chronic nasal symptoms such as sneezing, itching, runny nose, and nasal congestion. It is associated with high morbidity including sinusitis, asthma, otitis media, hypertrophied inferior turbinate, and nasal polyps. Despite its complications, it remains poorly recognized and tracked.

View Article and Find Full Text PDF

Data regarding Penicillin allergy labels (PALs) from India and Sri Lanka are sparse. Emerging data suggests that the proportion of patients declaring an unverified PAL in secondary care in India and Sri Lanka (1%-4%) is lesser than that reported in High Income Countries (15%-20%). However, even this relatively small percentage translates into a large absolute number, as this part of the world accounts for approximately 25% of the global population.

View Article and Find Full Text PDF

An important aspect of precision medicine focuses on characterizing diverse responses to treatment due to unique patient characteristics, also known as heterogeneous treatment effects (HTE) or individualized treatment effects (ITE), and identifying beneficial subgroups with enhanced treatment effects. Estimating HTE with right-censored data in observational studies remains challenging. In this paper, we propose a pseudo-ITE-based framework for analyzing HTE in survival data, which includes a group of meta-learners for estimating HTE, a variable importance metric for identifying predictive variables to HTE, and a data-adaptive procedure to select subgroups with enhanced treatment effects.

View Article and Find Full Text PDF

Severe asthma burdens patients and presents clinical management challenges for healthcare professionals. Biologics are crucial interventions for severe type two (T2) patients with high eosinophil counts. We conducted a Delphi consensus in seven developing or typically underrepresented countries to understand expert agreement on managing severe asthma with type two (T2) inflammation.

View Article and Find Full Text PDF

Objective: Current literature acknowledges the complexity of exacerbation triggers in patients with asthma. We studied the clinical heterogeneity of patients with asthma exacerbation suspected of having pulmonary embolism using cluster analysis and compared the clusters regarding of the risks for pulmonary embolism.

Methods: In a secondary analysis of a dataset from the University of Florida, USA, individuals who experienced asthma exacerbation between June 2011 and October 2018 were included.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!