Survival in COPD patients treated with bronchoscopic lung volume reduction

Background and objective: Severe COPD patients can significantly benefit from bronchoscopic lung volume reduction (BLVR) treatments with coils or endobronchial valves. However, the potential impact of BLVR on survival is less understood. Therefore, our aim was to investigate the survival rate in patients who are evaluated for BLVR treatment and whether there is a difference in survival rate between patients who undergo BLVR treatment and patients who do not. Methods: We included patients with COPD who visited our hospital for a consultation evaluating their eligibility for BLVR treatment and who performed pulmonary function tests during this visit. Furthermore, vital status was verified. Results: In total 1471 patients were included (63% female, mean age 61 years). A total of 531 patients (35%) died during follow-up and the median survival time of the total population was 2694 days (95% confidence interval(CI) 2462–2926) which is approximately 7.4 years. The median survival time of patients who were treated with BLVR was significantly longer compared to patients who were not treated with BLVR (3133 days versus 2503 days, p < 0.001), and BLVR was found to be an independent predictor of survival when adjusting for other survival-influencing factors such as age, gender or severity of disease. Conclusions: Our results suggest that bronchoscopically reducing lung volume in patients with severe hyperinflation may lead to a survival benefit for a population with a severely reduced life expectancy

Long-acting dual bronchodilator therapy (indacaterol/glycopyrronium) versus nebulized short-acting dual bronchodilator (salbutamol/ipratropium) in chronic obstructive pulmonary disease:A double-blind, randomized, placebo-controlled trial

Introduction: Most guidelines recommend long-acting bronchodilators over short-acting bronchodilators for patients with chronic obstructive pulmonary disease (COPD). The available evidence for the guidelines was based on dry powder or pressurized metered dose inhalers, but not nebulizations. Nevertheless, there is considerable, poorly evidenced based, use of short acting nebulized bronchodilators. Methods: This was an investigator initiated, randomized, active controlled, cross-over, double-blind and double-dummy single centre study in patients with stable COPD. The active comparators were indacaterol/glycopyrronium 110/50 μg as Ultibro® via Breezhaler® (IND/GLY) and salbutamol/ipratropium 2,5/0,5 mg via air driven nebulization (SAL/IPR), both given as a single dose on separate days. The primary end point was the area under the FEV1 curve from baseline till 6 h. Secondary end points included change in Borg dyspnoea score, adverse events and change in hyperinflation measured by the inspiratory capacity. Results: A total of 33 COPD patients completed the trial and were evaluable, most of them were ex-smokers. The difference between the tested regimens for the primary endpoint, FEV1 AUC 0–6 h, 2965 ± 1544 mL (mean ± SD) for IND/GLY versus 3513 ± 1762 mL for SAL/IPR, was not significant (P = 0.08). The peak in FEV1 was higher and was reached faster with SAL/IPR compared to IND/GLY. No other significant differences were detected for the secondary endpoints including the Borg score, or adverse events. Conclusion: Among patients with stable COPD, dry powder long-acting single inhalation of a LABA and a LAMA (IND/GLY) was not superior compared to nebulized short-acting salbutamol plus ipratropium (SAL/IPR) in its bronchodilating effects over 6 h.The effects of the nebulization kicked in faster and peaked higher. The observed differences may be caused by the difference in dosing between the two regimens. The improvement in Borg dyspnoea score did not favour the nebulization. Long-term outcomes were not assessed in this study

Gene signatures from scRNA-seq accurately quantify mast cells in biopsies in asthma

Respiratory disease, characterized by changes in the cells of the lung, can affect molecular phenotype of cells and the intercellular interactions, resulting in a disbalance in the relative proportions of individual cell types. Understanding these changes is essential to understand the pathophysiology of lung disease. Conventional 'bulk' RNA-sequencing (RNA-seq), analyzing the entire transcriptome of the tissue sample, provides information about average expression levels of each gene in the mixed cell population; whereas it does not consider the cellular heterogeneity in samples composed of more than one cell type 1 . Single-cell RNA-seq (scRNA-seq) assesses the transcriptome of a complex biological sample with single-cell resolution, allowing identification of the relative frequency of discrete cell-types and analysis of their transcriptomes 1 . Nevertheless, analyzing the transcriptomic signature in large numbers of patients by scRNA-Seq is currently limited by its high costs. Mast cells are key regulatory cells driving the inflammatory process in asthma2 . Since they can be quantified by immunohistochemical staining for validation purposes, we used mast cells as an example of a rare cell population to assess the validity of our deconvolution approach. Recently, a number of bulk RNA-seq deconvolution methods have become available 3 , for instance of two deconvolution methods, namely support vector regression (SVR) 4 , the machine-learning method implemented in CYBERSORT, and Non-Negative Least Square (NNLS) 5 , using a matrix of cell-type selective genes identified with AutoGeneSc 6 . Both approaches are designed to estimate relative proportion of the main, common cell types present in the sample. When we used these methods to estimate the number of mast cells, we found a poor correlation with the number of mast cells stained by immunohistochemistry in the biopsies, suggesting the CIBERSORT and NNLS are less reliable in the case of rare cell types. We explored the possibility to use scRNA-Seq data from small numbers of subjects to specifically interrogate the relative cell type frequency of a rare cell population in a bulk RNA-Seq dataset obtained from a large asthma cohort

Nasal DNA methylation at three CpG sites predicts childhood allergic disease

Childhood allergic diseases, including asthma, rhinitis and eczema, are prevalent conditions that share strong genetic and environmental components. Diagnosis relies on clinical history and measurements of allergen-specific IgE. We hypothesize that a multi-omics model could accurately diagnose childhood allergic disease. We show that nasal DNA methylation has the strongest predictive power to diagnose childhood allergy, surpassing blood DNA methylation, genetic risk scores, and environmental factors. DNA methylation at only three nasal CpG sites classifies allergic disease in Dutch children aged 16 years well, with an area under the curve (AUC) of 0.86. This is replicated in Puerto Rican children aged 9-20 years (AUC 0.82). DNA methylation at these CpGs additionally detects allergic multimorbidity and symptomatic IgE sensitization. Using nasal single-cell RNA-sequencing data, these three CpGs associate with influx of T cells and macrophages that contribute to allergic inflammation. Our study suggests the potential of methylation-based allergy diagnosis

Nasal DNA methylation at three CpG sites predicts childhood allergic disease

Childhood allergic diseases, including asthma, rhinitis and eczema, are prevalent conditions that share strong genetic and environmental components. Diagnosis relies on clinical history and measurements of allergen-specific IgE. We hypothesize that a multi-omics model could accurately diagnose childhood allergic disease. We show that nasal DNA methylation has the strongest predictive power to diagnose childhood allergy, surpassing blood DNA methylation, genetic risk scores, and environmental factors. DNA methylation at only three nasal CpG sites classifies allergic disease in Dutch children aged 16 years well, with an area under the curve (AUC) of 0.86. This is replicated in Puerto Rican children aged 9-20 years (AUC 0.82). DNA methylation at these CpGs additionally detects allergic multimorbidity and symptomatic IgE sensitization. Using nasal single-cell RNA-sequencing data, these three CpGs associate with influx of T cells and macrophages that contribute to allergic inflammation. Our study suggests the potential of methylation-based allergy diagnosis

The asthma-obesity relationship: underlying mechanisms and treatment implications

PURPOSE OF REVIEW: Obesity is a worldwide epidemic with a prevalence that has tripled in the last two decades. Worldwide, more than 1.5 billion adults are overweight and more than 500 million obese. Obesity has been suggested to be a risk factor for the development of more difficult-to-control asthma. Although the mechanisms underlying the asthma-obesity relationship are not fully understood, several possible explanations have been put forward. These will be reviewed in this manuscript as well as the implications for the treatment of overweight and obese asthma patients. RECENT FINDINGS: Insulin resistance is a possible factor contributing to the asthma-obesity relationship and the effect is independent of other components of the metabolic syndrome such as hypertriglyceridemia, hypertension, hyperglycemia, and systemic inflammation. Obesity has important effects on airway geometry, by especially reducing expiratory reserve volume causing obese asthmatics to breathe at low lung volumes. Furthermore, obesity affects the type of inflammation in asthma and is associated with reduced inhaled corticosteroids treatment responsiveness. SUMMARY: Obesity induces the development of asthma with a difficult-to-control phenotype. Treatment targeting insulin resistance may be beneficial in obese asthma patients, especially when they have concomitant diabetes. Systemic corticosteroids should be avoided as much as possible as they are not very effective in obese asthma and associated with side-effects like diabetes, weight gain, and osteoporosis

A review on the pathophysiology of asthma remission

Asthma is a chronic respiratory condition, which is highly prevalent worldwide. Although no cure is currently available, it is well recognized that some asthma patients can spontaneously enter remission of the disease later in life. Asthma remission is characterized by absence of symptoms and lack of asthma-medication use. Subjects in asthma remission can be divided into two groups: those in clinical remission and those in complete remission. In clinical asthma remission, subjects still have a degree of lung functional impairment or bronchial hyperresponsiveness, while in complete asthma remission, these features are no longer present. Over longer periods, the latter group is less likely to relapse. This remission group is of great scientific interest due to the higher potential to find biomarkers or biological pathways that elicit or are associated with asthma remission. Despite the fact that the definition of asthma remission varies between studies, some factors are reproducibly observed to be associated with remitted asthma. Among these are lower levels of inflammatory markers, which are lowest in complete remission. Additionally, in both groups some degree of airway remodeling is present. Still, the pathological disease state of asthma remission has been poorly investigated. Future research should focus on at least two aspects: further characterisation of the small airways and airway walls in order to determine histologically true remission, and more thorough biological pathway analyses to explore triggers that elicit this phenomenon. Ultimately, this will result in pharmacological targets that provide the potential to steer the course of asthma towards remission. (C) 2019 Elsevier Inc. All rights reserved