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Introduction Asthma is a heterogeneous disease with poorly defined phenotypes. Patients with severe asthma often receive multiple treatments including oral corticosteroids (OCS). Treatment may modify the observed metabotype, rendering it challenging to investigate underlying disease mechanisms. Here, we aimed to identify dysregulated metabolic processes in relation to asthma severity and medication.Methods Baseline urine was collected prospectively from healthy participants (n=100), patients with mild-to-moderate asthma (n=87) and patients with severe asthma (n=418) in the cross-sectional U-BIOPRED cohort; 12-18-month longitudinal samples were collected from patients with severe asthma (n=305). Metabolomics data were acquired using high-resolution mass spectrometry and analysed using univariate and multivariate methods.Results A total of 90 metabolites were identified, with 40 significantly altered (p<0.05, false discovery rate <0.05) in severe asthma and 23 by OCS use. Multivariate modelling showed that observed metabotypes in healthy participants and patients with mild-to-moderate asthma differed significantly from those in patients with severe asthma (p=2.6x10(-20)), OCS-treated asthmatic patients differed significantly from non-treated patients (p=9.5x10(-4)), and longitudinal metabotypes demonstrated temporal stability. Carnitine levels evidenced the strongest OCS-independent decrease in severe asthma. Reduced carnitine levels were associated with mitochondrial dysfunction via decreases in pathway enrichment scores of fatty acid metabolism and reduced expression of the carnitine transporter SLC22A5 in sputum and bronchial brushings.Conclusions This is the first large-scale study to delineate disease- and OCS-associated metabolic differences in asthma. The widespread associations with different therapies upon the observed metabotypes demonstrate the need to evaluate potential modulating effects on a treatment- and metabolite-specific basis. Altered carniti

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Rationale: New approaches are needed to guide personalized treatment of asthma.Objectives: To test if urinary eicosanoid metabolites can direct asthma phenotyping.Methods: Urinary metabolites of prostaglandins (PGs), cysteinyl leukotrienes (CysLTs), and isoprostanes were quantified in the U-BIOPRED (Unbiased Biomarkers for the Prediction of Respiratory Diseases Outcomes) study including 86 adults with mild-to-moderate asthma (MMA), 411 with severe asthma (SA), and 100 healthy control participants. Validation was performed internally in 302 participants with SA followed up after 12-18 months and externally in 95 adolescents with asthma.Measurement and Main Results: Metabolite concentrations in healthy control participants were unrelated to age, body mass index, and sex, except for the PGE(2) pathway. Eicosanoid concentrations were generally greater in participants with MMA relative to healthy control participants, with further elevations in participants with SA. However, PGE(2) metabolite concentrations were either the same or lower in male nonsmokers with asthma than in healthy control participants. Metabolite concentrations were unchanged in those with asthma who adhered to oral corticosteroid treatment as documented by urinary prednisolone detection, whereas those with SA treated with omalizumab had lower concentrations of LTE4 and the PGD(2) metabolite 2,3-dinor-11 beta-PGF(2 alpha). High concentrations of LTE4 and PGD(2) metabolites were associated with lower lung function and increased amounts of exhaled nitric oxide and eosinophil markers in blood, sputum, and urine in U-BIOARED participants and in adolescents with asthma. These type 2 (T2) asthma associations were reproduced in the follow-up visit of the U-BIOPRED study and were found to be as sensitive to detect T2 inflammation as the established biomarkers.Conclusions: Monitoring of urinary eicosanoids can identify T2 asthma and introduces a new noninvasive approach for molecular phenotyping of adult and ad

BACKGROUND: Although estimates of suboptimal adherence to oral corticosteroids in asthma range from 30% to 50%, no ideal method for measurement exists; the impact of poor adherence in severe asthma is likely to be particularly high.RESEARCH QUESTIONS: What is the prevalence of suboptimal adherence detected by self-reporting and direct measures? Is suboptimal adherence associated with disease activity?STUDY DESIGN AND METHODS: Data were included from individuals with severe asthma taking part in the U-BIOPRED (Unbiased Biomarkers for the Prediction of Respiratory Disease Outcomes) study and prescribed daily oral corticosteroids. Participants completed the Medication Adherence Report Scale, a five-item questionnaire used to grade adherence on a scale from 1 to 5, and provided a urine sample for analysis of prednisolone and metabolites by liquid chromatography-mass spectrometry.RESULTS: Data from 166 participants were included in this study: mean (SD) age, 54.2 (+/- 11.9) years; FEV1, 65.1% (+/- 20.5%) predicted; female, 58%; 37% completing the Medication Adherence Report Scale reported suboptimal adherence; and 43% with urinary corticosteroid data did not have detectable prednisolone or metabolites in their urine. Good adherence by both methods was detected in 49 of the 142 (35%) of participants in whom both methods were performed; adherence detection did not match between methods in 53%. Self-reported high adherers had better asthma control and quality of life, whereas directly measured high adherers had lower blood eosinophil levels.INTERPRETATION: Low adherence is a common problem in severe asthma, whether measured directly or self-reported. We report poor agreement between the two methods, suggesting some disassociation between self-assessment of medication adherence and regular oral corticosteroid use, which suggests that each approach may provide complementary information in clinical practice.

Background: Electronic noses (eNoses) are emerging point-of-care tools that may help in the subphenotyping of chronic respiratory diseases such as asthma.Objective: We aimed to investigate whether eNoses can classify atopy in pediatric and adult patients with asthma.Methods: Participants with asthma and/or wheezing from 4 independent cohorts were included; BreathCloud participants (n 5 429), Unbiased Biomarkers in Prediction of Respiratory Disease Outcomes adults (n 5 96), Unbiased Biomarkers in Prediction of Respiratory Disease Outcomes pediatric participants (n 5 100), and Pharmacogenetics of Asthma Medication in Children: Medication with Anti-Inflammatory Effects 2 participants (n 5 30). Atopy was defined as a positive skin prick test result (>3 mm) and/or a positive specific IgE level (>0.35 kU/L) for common allergens. Exhaled breath profiles were measured by using either an integrated eNose platform or the SpiroNose. Data were divided into 2 training and 2 validation sets according to the technology used. Supervised data analysis involved the use of 3 different machine learning algorithms to classify patients with atopic versus nonatopic asthma with reporting of areas under the receiver operating characteristic curves as a measure of model performance. In addition, an unsupervised approach was performed by using a bayesian network to reveal data-driven relationships between eNose volatile organic compound profiles and asthma characteristics.Results: Breath profiles of 655 participants (n 5 601 adults and school-aged children with asthma and 54 preschool children with wheezing [68.2% of whom were atopic]) were included in this study. Machine learning models utilizing volatile organic compound profiles discriminated between atopic and nonatopic participants with areas under the receiver operating characteristic curves of at least 0.84 and 0.72 in the training and validation sets, respectively. The unsupervised approach revealed that breath profiles classify

Analysis of induced sputum supematant is a minimally invasive approach to study the epithelial lining fluid and, thereby, provide insight into normal lung biology and the pathobiology of lung diseases. We present here a novel proteomics approach to sputum analysis developed within the U-BIOPRED (unbiased biomarkers predictive of respiratory disease outcomes) international project. We present practical and analytical techniques to optimize the detection of robust biomarkers in proteomic studies. The normal sputum proteome was derived using data-independent HDMSE applied to 40 healthy nonsmoking participants, which provides an essential baseline from which to compare modulation of protein expression in respiratory diseases. The "core" sputum proteome (proteins detected in >= 40% of participants) was composed of 284 proteins, and the extended proteome (proteins detected in >= 3 participants) contained 1666 proteins. Quality control procedures were developed to optimize the accuracy and consistency of measurement of sputum proteins and analyze the distribution of sputum proteins in the healthy population. The analysis showed that quantitation of proteins by HDMSE is influenced by several factors, with some proteins being measured in all participants' samples and with low measurement variance between samples from the same patient. The measurement of some proteins is highly variable between repeat analyses, susceptible to sample processing effects, or difficult to accurately quantify by mass spectrometry. Other proteins show high interindividual variance. We also highlight that the sputum proteome of healthy individuals is related to sputum neutrophil levels, but not gender or allergic sensitization. We illustrate the importance of design and interpretation of disease biomarker studies considering such protein population and technical measurement variance.

Severe asthma patients with a significant smoking history have airflow obstruction with reported neutrophilia. We hypothesise that multi-omic analysis will enable the definition of smoking and ex-smoking severe asthma molecular phenotypes.The U-BIOPRED cohort of severe asthma patients, containing current-smokers (CSA), ex-smokers (ESA), nonsmokers and healthy nonsmokers was examined. Blood and sputum cell counts, fractional exhaled nitric oxide and spirometry were obtained. Exploratory proteomic analysis of sputum supernatants and transcriptomic analysis of bronchial brushings, biopsies and sputum cells was performed.Colony-stimulating factor (CSF) 2 protein levels were increased in CSA sputum supernatants, with azurocidin 1, neutrophil elastase and CXCL8 upregulated in ESA. Phagocytosis and innate immune pathways were associated with neutrophilic inflammation in ESA. Gene set variation analysis of bronchial epithelial cell transcriptome from CSA showed enrichment of xenobiotic metabolism, oxidative stress and endoplasmic reticulum stress compared to other groups. CXCL5 and matrix metallopeptidase 12 genes were upregulated in ESA and the epithelial protective genes, mucin 2 and cystatin SN, were downregulated.Despite little difference in clinical characteristics, CSA were distinguishable from ESA subjects at the sputum proteomic level, with CSA patients having increased CSF2 expression and ESA patients showing sustained loss of epithelial barrier processes.

Introduction: Long-acting bronchodilators are pivotal in the therapeutic management of COPD patients with moderate-to-severe airflow obstruction. New ultra-long-acting beta 2-agnoists (ultra-LABAs) have been developed, some of which have been licensed for use as monotherapy and/or in combination with other bronchodilators or inhaled corticosteroids, for use in COPD patients with persistent symptoms and worsening airflow limitation. These new agents are faster in onset and have a prolonged duration of action, with a similar safety profile to the traditional twice-daily bronchodilators which may have an impact on patient concordance.Areas covered: A number of these ultra-LABAs are still under development and bi-functional hybrid molecules containing regions functioning as beta 2-agonists, and as muscarinic agonists (MABAs) has been developed. This review summarizes these (excluding the licensed ultra-LABAs) with attention on phase II studies data available to-date on their pharmacological profiles, clinical efficacy and safety, and future perspectives.Expert opinion: Despite all the new agents' available, the challenges that persist include any differences in efficacy and safety between the various possible LAMA/LABA combinations, relative advantages of MABAs over fixed-dose LAMA/LABAs, and the impact of these new molecules in terms of long term safety, especially in certain populations in co-morbidities frequently associated with COPD.

BACKGROUND: Asthma is a heterogeneous disease in which there is a differential response to asthma treatments. This heterogeneity needs to be evaluated so that a personalized management approach can be provided. OBJECTIVES: We stratified patients with moderate-to-severe asthma based on clinicophysiologic parameters and performed an omics analysis of sputum. METHODS: Partition-around-medoids clustering was applied to a training set of 266 asthmatic participants from the European Unbiased Biomarkers for the Prediction of Respiratory Diseases Outcomes (U-BIOPRED) adult cohort using 8 prespecified clinic-physiologic variables. This was repeated in a separate validation set of 152 asthmatic patients. The clusters were compared based on sputum proteomics and transcriptomics data. RESULTS: Four reproducible and stable clusters of asthmatic patients were identified. The training set cluster T1 consists of patients with well-controlled moderate-to-severe asthma, whereas cluster T2 is a group of patients with late-onset severe asthma with a history of smoking and chronic airflow obstruction. Cluster T3 is similar to cluster T2 in terms of chronic airflow obstruction but is composed of nonsmokers. Cluster T4 is predominantly composed of obese female patients with uncontrolled severe asthma with increased exacerbations but with normal lung function. The validation set exhibited similar clusters, demonstrating reproducibility of the classification. There were significant differences in sputum proteomics and transcriptomics between the clusters. The severe asthma clusters (T2, T3, and T4) had higher sputum eosinophilia than cluster T1, with no differences in sputum neutrophil counts and exhaled nitric oxide and serum IgE levels. CONCLUSION: Clustering based on clinicophysiologic parameters yielded 4 stable and reproducible clusters that associate with different pathobiological pathways

Breathomics, the multidimensional molecular analysis of exhaled breath, includes analysis of exhaled breath with gas-chromatography/mass spectrometry (GC/MS) and electronic noses (e-noses), and metabolomics of exhaled breath condensate (EBC), a non-invasive technique which provides information on the composition of airway lining fluid, generally by high-resolution nuclear magnetic resonance (NMR) spectroscopy or MS methods. Metabolomics is the identification and quantification of small molecular weight metabolites in a biofluid. Specific profiles of volatile compounds in exhaled breath and metabolites in EBC (breathprints) are potentially useful surrogate markers of inflammatory respiratory diseases. Electronic noses (e-noses) are artificial sensor systems, usually consisting of chemical cross-reactive sensor arrays for characterization of patterns of breath volatile compounds, and algorithms for breathprints classification. E-noses are handheld, portable, and provide real-time data. E-nose breathprints can reflect respiratory inflammation. E-noses and NMR-based metabolomics of EBC can distinguish patients with respiratory diseases such as asthma, COPD, and lung cancer, or diseases with a clinically relevant respiratory component including cystic fibrosis and primary ciliary dyskinesia, and healthy individuals. Breathomics has also been reported to identify patients affected by different types of respiratory diseases. Patterns of breath volatile compounds detected by e-nose and EBC metabolic profiles have been associated with asthma phenotypes. In combination with other -omics platforms, breathomics might provide a molecular approach to respiratory disease phenotyping and a molecular basis to tailored pharmacotherapeutic strategies. Breathomics might also contribute to identify new surrogate markers of respiratory inflammation, thus, facilitating drug discovery. Validation in newly recruited, prospective independent cohorts is essential for development of e-nose and

We aimed at comparing exhaled and non-exhaled non-invasive markers of respiratory inflammation in patients with chronic obstructive pulmonary disease (COPD) and healthy subjects and define their relationships with smoking habit. Forty-eight patients with stable COPD who were ex-smokers, 17 patients with stable COPD who were current smokers, 12 healthy current smokers and 12 healthy ex-smokers were included in a cross-sectional, observational study. Inflammatory outcomes, including prostaglandin (PG) E2 and 15-F2t-isoprostane (15-F2t-IsoP) concentrations in exhaled breath condensate (EBC) and sputum supernatants, fraction of exhaled nitric oxide (FENO) and sputum cell counts, and functional (spirometry) outcomes were measured. Sputum PGE2 was elevated in both groups of smokers compared with ex-smoker counterpart (COPD: P < 0.02; healthy subjects: P < 0.03), whereas EBC PGE2 was elevated in current (P = 0.0065) and ex-smokers with COPD (P = 0.0029) versus healthy ex-smokers. EBC 15-F2t-IsoP, a marker of oxidative stress, was increased in current and ex-smokers with COPD (P < 0.0001 for both) compared with healthy ex-smokers, whereas urinary 15-F2t-IsoP was elevated in both smoker groups (COPD: P < 0.01; healthy subjects: P < 0.02) versus healthy ex-smokers. FENO was elevated in ex-smokers with COPD versus smoker groups (P = 0.0001 for both). These data suggest that the biological meaning of these inflammatory markers depends on type of marker and biological matrix in which is measured. An approach combining different types of outcomes can be used for assessing respiratory inflammation in patients with COPD. Large studies are required to establish the clinical utility of this strategy.

Breathomics, the multidimensional molecular analysis of exhaled breath, includes analysis of exhaled breath with gas-chromatography/mass spectrometry (GC/MS) and electronic noses (e-noses), and metabolomics of exhaled breath condensate (EBC), a non-invasive technique which provides information on the composition of airway lining fluid, generally by high-resolution nuclear magnetic resonance (NMR) spectroscopy or MS methods. Metabolomics is the identification and quantification of small molecular weight metabolites in a biofluid. Specific profiles of volatile compounds in exhaled breath and metabolites in EBC (breathprints) are potentially useful surrogate markers of inflammatory respiratory diseases. Electronic noses (e-noses) are artificial sensor systems, usually consisting of chemical cross-reactive sensor arrays for characterization of patterns of breath volatile compounds, and algorithms for breathprints classification. E-noses are handheld, portable, and provide real-time data. E-nose breathprints can reflect respiratory inflammation. E-noses and NMR-based metabolomics of EBC can distinguish patients with respiratory diseases such as asthma, COPD, and lung cancer, or diseases with a clinically relevant respiratory component including cystic fibrosis and primary ciliary dyskinesia, and healthy individuals. Breathomics has also been reported to identify patients affected by different types of respiratory diseases. Patterns of breath volatile compounds detected by e-nose and EBC metabolic profiles have been associated with asthma phenotypes. In combination with other -omics platforms, breathomics might provide a molecular approach to respiratory disease phenotyping and a molecular basis to tailored pharmacotherapeutic strategies. Breathomics might also contribute to identify new surrogate markers of respiratory inflammation, thus, facilitating drug discovery. Validation in newly recruited, prospective independent cohorts is essential for development of e-nose and

We aimed at comparing exhaled and non-exhaled non-invasive markers of respiratory inflammation in patients with chronic obstructive pulmonary disease (COPD) and healthy subjects and define their relationships with smoking habit. Forty-eight patients with stable COPD who were ex-smokers, 17 patients with stable COPD who were current smokers, 12 healthy current smokers and 12 healthy ex-smokers were included in a cross-sectional, observational study. Inflammatory outcomes, including prostaglandin (PG) E2 and 15-F2t-isoprostane (15-F2t-IsoP) concentrations in exhaled breath condensate (EBC) and sputum supernatants, fraction of exhaled nitric oxide (FENO) and sputum cell counts, and functional (spirometry) outcomes were measured. Sputum PGE2 was elevated in both groups of smokers compared with ex-smoker counterpart (COPD: P < 0.02; healthy subjects: P < 0.03), whereas EBC PGE2 was elevated in current (P = 0.0065) and ex-smokers with COPD (P = 0.0029) versus healthy ex-smokers. EBC 15-F2t-IsoP, a marker of oxidative stress, was increased in current and ex-smokers with COPD (P < 0.0001 for both) compared with healthy ex-smokers, whereas urinary 15-F2t-IsoP was elevated in both smoker groups (COPD: P < 0.01; healthy subjects: P < 0.02) versus healthy ex-smokers. FENO was elevated in ex-smokers with COPD versus smoker groups (P = 0.0001 for both). These data suggest that the biological meaning of these inflammatory markers depends on type of marker and biological matrix in which is measured. An approach combining different types of outcomes can be used for assessing respiratory inflammation in patients with COPD. Large studies are required to establish the clinical utility of this strategy

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We aimed at comparing exhaled and non-exhaled non-invasive markers of respiratory inflammation in patients with chronic obstructive pulmonary disease (COPD) and healthy subjects and define their relationships with smoking habit. Forty-eight patients with stable COPD who were ex-smokers, 17 patients with stable COPD who were current smokers, 12 healthy current smokers and 12 healthy ex-smokers were included in a cross-sectional, observational study. Inflammatory outcomes, including prostaglandin (PG) E2 and 15-F2t-isoprostane (15-F2t-IsoP) concentrations in exhaled breath condensate (EBC) and sputum supernatants, fraction of exhaled nitric oxide (FENO) and sputum cell counts, and functional (spirometry) outcomes were measured. Sputum PGE2 was elevated in both groups of smokers compared with ex-smoker counterpart (COPD: P < 0.02; healthy subjects: P < 0.03), whereas EBC PGE2 was elevated in current (P = 0.0065) and ex-smokers with COPD (P = 0.0029) versus healthy ex-smokers. EBC 15-F2t-IsoP, a marker of oxidative stress, was increased in current and ex-smokers with COPD (P < 0.0001 for both) compared with healthy ex-smokers, whereas urinary 15-F2t-IsoP was elevated in both smoker groups (COPD: P < 0.01; healthy subjects: P < 0.02) versus healthy ex-smokers. FENO was elevated in ex-smokers with COPD versus smoker groups (P = 0.0001 for both). These data suggest that the biological meaning of these inflammatory markers depends on type of marker and biological matrix in which is measured. An approach combining different types of outcomes can be used for assessing respiratory inflammation in patients with COPD. Large studies are required to establish the clinical utility of this strategy.

Breathomics, the multidimensional molecular analysis of exhaled breath, includes analysis of exhaled breath with gas-chromatography/mass spectrometry (GC/MS) and electronic noses (e-noses), and metabolomics of exhaled breath condensate (EBC), a non-invasive technique which provides information on the composition of airway lining fluid, generally by high-resolution nuclear magnetic resonance (NMR) spectroscopy or MS methods. Metabolomics is the identification and quantification of small molecular weight metabolites in a biofluid. Specific profiles of volatile compounds in exhaled breath and metabolites in EBC (breathprints) are potentially useful surrogate markers of inflammatory respiratory diseases. Electronic noses (e-noses) are artificial sensor systems, usually consisting of chemical cross-reactive sensor arrays for characterization of patterns of breath volatile compounds, and algorithms for breathprints classification. E-noses are handheld, portable, and provide real-time data. E-nose breathprints can reflect respiratory inflammation. E-noses and NMR-based metabolomics of EBC can distinguish patients with respiratory diseases such as asthma, COPD, and lung cancer, or diseases with a clinically relevant respiratory component including cystic fibrosis and primary ciliary dyskinesia, and healthy individuals. Breathomics has also been reported to identify patients affected by different types of respiratory diseases. Patterns of breath volatile compounds detected by e-nose and EBC metabolic profiles have been associated with asthma phenotypes. In combination with other -omics platforms, breathomics might provide a molecular approach to respiratory disease phenotyping and a molecular basis to tailored pharmacotherapeutic strategies. Breathomics might also contribute to identify new surrogate markers of respiratory inflammation, thus, facilitating drug discovery. Validation in newly recruited, prospective independent cohorts is essential for development of e-nose and

Wood smoke, a well-known indoor and outdoor air pollutant, may cause adverse health effects through oxidative stress. In this study 8-isoprostane, a biomarker of oxidative stress, was measured in exhaled breath condensate (EBC) and urine before and after experimental exposure to wood smoke. The results were compared with measurements of other biomarkers of oxidative stress and inflammation. Thirteen subjects were exposed first to clean air and then, after 1 week, to wood smoke in an exposure chamber during 4-hour sessions. Exhaled breath condensate, exhaled nitric oxide, blood and urine were sampled before and at various intervals after exposure to wood smoke and clean air. Exhaled breath condensate was examined for 8-isoprostane and malondialdehyde (MDA), while exhaled air was examined for nitric oxide, serum for Clara cell protein (CC16) and urine for 8-isoprostane. 8-isoprostane in EBC did not increase after wood smoke exposure and its net change immediately after exposure was inversely correlated with net changes in MDA (r(s)= -0.57, p= 0.041) and serum CC16 (S-CC16) (r(p)= -0.64, p= 0.020) immediately after the exposure. No correlation was found between 8-isoprostane in urine and 8-isoprostane in EBC. In this study controlled wood smoke exposure in healthy subjects did not increase 8-isoprostane in EBC.

INTRODUCTION: By activating DP1 and DP2 receptors on immune and non-immune cells, prostaglandin D2 (PGD2), a major metabolic product of cyclo-oxygenase pathway released after IgE-mediated mast cell activation, has pro-inflammatory effects, which are relevant to the pathophysiology of allergic airway disease. At least 15 selective, orally active, DP2 receptor antagonists and one DP1 receptor antagonist (asapiprant) are under development for asthma and/or allergic rhinitis. Areas covered: In this review, the authors cover the pharmacology of PGD2 and PGD2 receptor antagonists and look at the preclinical, phase I and phase II studies with selective DP1 and DP2 receptor antagonists. Expert opinion: Future research should aim to develop once daily compounds and increase the drug clinical potency which, apart from OC000459 and ADC-3680, seems to be relatively low. Further research and development of DP2 receptor antagonists is warranted, particularly in patients with severe uncontrolled asthma, whose management is a top priority. Pediatric studies, which are not available, are required for assessing the efficacy and safety of this novel drug class in children with asthma and allergic rhinitis. Studies on the efficacy of DP2 receptor antagonists in various asthma phenotypes including: smokers, obese subjects, early vs late asthma onset, fixed vs reversible airflow limitation, are required for establishing their pharmacotherapeutic role.

Small airway dysfunction and remodeling are known to influence the disease control and progression in asthma. We investigated the small airway involvement in asthmatic patients by correlating data derived from computed tomography (CT) and pulmonary function test (PFT). The CT lung scans were acquired at full inspiration and expiration using a portable spirometer to control the respiratory manoeuvers. PFT was performed before and after bronchodilator test with salbutamol 400 mcg, measuring lung volumes and flows, airway resistance (Raw) and single-breath nitrogen washout (SBN2W). Up to now, 25 patients with mild-to-moderate asthma were studied. Fifteen had a good control of the disease at the time of the study as reflected by an Asthma Control Test (ACT) score ≥ 20. The mean lumen area (LA), measured in the left lower lobe posterior-basal segmental bronchus (LB10), correlated directly with the forced expiratory volume in 1 sec (FEV1) (r=0.60, p=0.002) and inversely with Raw (r=-0.52, p=0.011). The wall area percent (WA%) in the LB10 correlated inversely with FEV1 (r=-0.55, p=0.004)and directly with Raw (r=0.50, p=0.014). Air trapping, expressed as expiratory Voxel Index -856 HU (%), correlated inversely with FEV1 (r=-0.82, p<0.0001) and directly with both residual volume (RV)(r=0.72, p<0.0001) and the change in N2 concentration in phase 3 of the SBN2W test (r=0.67, p=0.001). A trend toward a significant increase in air trapping was found in the 10 patients with a poor control of the disease in comparison with the 15 patients in good control (p=0.083). These preliminary data show that both CT and PFT including Raw and SBN2W provide useful information for the study of the small airways in asthma.

BACKGROUND: Inhaled corticosteroids (ICS) treatment for asthma control is generally focused on lung function and symptoms, but inadequately correlated with airway inflammation. OBJECTIVE: To compare asthma control in a group of patients whose treatment was based on fraction of exhaled nitric oxide (FENO) and sputum eosinophils (intervention group) with a group in whom treatment was based on clinical score (control group). Study design and primary outcome: Randomized parallel-group longitudinal 24-month study including 5 visits every 6 months. A combination of asthma exacerbation rate and symptom score at 24 months was the primary outcome. PARTICIPANTS: Fourteen patients with eosinophilic asthma per group were included. RESULTS: In the intervention group, exacerbation rate/patient/year was reduced at 12 months (0.82) (-73%) and, to a greater extent at 24 months (0.5) (-84%) compared with baseline (3.21, p<0.01). In the control group, a significant reduction in exacerbation rate/patient/year was only observed between month 12 (3.0) and 24 (2.0, -33%, p<0.01). At 24 months, exacerbation rate was lower (-75%) in the intervention (0.5) than in the control group (2.0, p<0.05). Compared with baseline, mean symptom scores at 24 months were reduced in both groups (intervention group: -72%; control group: - 60%), but were lower in the intervention (8.1±1.0, p<0.05; -27%) than in the control group (11±2.6). ICS dose gradually increased in both groups throughout the study, with no between-group differences

Currently, many different methods are being used for pre-processing, statistical analysis and validation of data obtained by electronic nose technology from exhaled air. These various methods, however, have never been thoroughly compared. We aimed to empirically evaluate and compare the influence of different dimension reduction, classification and validation methods found in published studies on the diagnostic performance in several datasets. Our objective was to facilitate the selection of appropriate statistical methods and to support reviewers in this research area. We reviewed the literature by searching Pubmed up to the end of 2014 for all human studies using an electronic nose and methodological quality was assessed using the QUADAS-2 tool tailored to our review. Forty-six studies were evaluated regarding the range of different approaches to dimension reduction, classification and validation. From forty-six reviewed articles only seven applied external validation in an independent dataset, mostly with a case-control design. We asked their authors to share the original datasets with us. Four of the seven datasets were available for re-analysis. Published statistical methods for eNose signal analysis found in the literature review were applied to the training set of each dataset. The performance (area under the receiver operating characteristics curve (ROC-AUC)) was calculated for the training cohort (in-set) and after internal validation (leave-one-out cross validation). The methods were also applied to the external validation set to assess the external validity of the performance. Risk of bias was high in most studies due to non-random selection of patients. Internal validation resulted in a decrease in ROC-AUCs compared to in-set performance: -0.15,-0.14,-0.1,-0.11 in dataset 1 through 4, respectively. External validation resulted in lower ROC-AUC compared to internal validation in dataset 1 (-0.23) and 3 (-0.09). ROC-AUCs did not decrease in dataset 2 (+0.0

Chronic obstructive pulmonary disease (COPD) is characterized by poorly reversible airflow limitation, with an abnormal pulmonary and systemic inflammatory response to tobacco smoking. Systemic inflammation promotes atherosclerosis, to treat the complications of which beta-blockers are paramount. In the COPD setting, however, the use of beta-blockers has been limited by fears that they could adversely affect lung function. However, by controlling adrenergic drive and reducing the heart rate, beta-blockers could reduce the risk of arrhythmias and sudden death among COPD patients. Thus, beta-blocker use is strongly supported by evidence in COPD patients with history of myocardial infarction, but warrants consideration in other cardiovascular comorbidities. Studies specifically designed to ascertain the role of beta-blockers in patients with COPD with cardiovascular conditions are still needed, because the majority of the current evidence is based on retrospective observational studies

U-BIOPRED is a European Union consortium of 20 academic institutions, 11 pharmaceutical companies and six patient organisations with the objective of improving the understanding of asthma disease mechanisms using a systems biology approach.This cross-sectional assessment of adults with severe asthma, mild/moderate asthma and healthy controls from 11 European countries consisted of analyses of patient-reported outcomes, lung function, blood and airway inflammatory measurements.Patients with severe asthma (nonsmokers, n=311; smokers/ex-smokers, n=110) had more symptoms and exacerbations compared to patients with mild/moderate disease (n=88) (2.5 exacerbations versus 0.4 in the preceding 12 months; p<0.001), with worse quality of life, and higher levels of anxiety and depression. They also had a higher incidence of nasal polyps and gastro-oesophageal reflux with lower lung function. Sputum eosinophil count was higher in severe asthma compared to mild/moderate asthma (median count 2.99% versus 1.05%; p=0.004) despite treatment with higher doses of inhaled and/or oral corticosteroids.Consistent with other severe asthma cohorts, U-BIOPRED is characterised by poor symptom control, increased comorbidity and airway inflammation, despite high levels of treatment. It is well suited to identify asthma phenotypes using the array of "omic" datasets that are at the core of this systems medicine approach

Chronic Obstructive Pulmonary Disease (COPD) is defined as a disease characterized by persistent, progressive airflow limitation. Recent studies have underlined that COPD is correlated to many systemic manifestations, probably due to an underlying pattern of systemic inflammation. In COPD fractional exhaled Nitric Oxide (FeNO) levels are related to smoking habits and disease severity, showing a positive relationship with respiratory functional parameters. Moreover FeNO is increased in patients with COPD exacerbation, compared with stable ones. In alpha-1 antitrypsin deficiency, a possible cause of COPD, FeNO levels may be monitored to early detect a disease progression. FeNO measurements may be useful in clinical setting to identify the level of airway inflammation, per se and in relation to comorbidities, such as pulmonary arterial hypertension and cardiovascular diseases, either in basal conditions or during treatment. Finally, some systemic inflammatory diseases, such as psoriasis, have been associated with higher FeNO levels and potentially with an increased risk of developing COPD. In these systemic inflammatory diseases, FeNO monitoring may be a useful biomarker for early diagnosis of COPD development.

Chronic obstructive pulmonary disease (COPD) is characterized by large phenotype variability, reflected by a highly variable response to pharmacological treatment. Nevertheless, current guidelines suggest that patients with COPD of similar severity should be treated in the same way. The phenotype-based pharmacotherapeutic approach proposes bronchodilators alone in the nonfrequent exacerbator phenotype and a combination of bronchodilators and inhaled corticosteroids in patients with asthma-COPD overlap syndrome (ACOS) and moderate-to-severe exacerbator phenotype. The clinical importance of phenotypes is changing the paradigm of COPD management from evidence-based to personalized medicine. However, the personalized pharmacological strategy of COPD has to be validated in future clinical studies

BACKGROUND: Glucocorticoids affect peripheral immune responses, including modulation of T-cell activation, differentiation, and apoptosis. The quantity and quality of T-cell receptor (TCR)-triggered intracellular signals modulate T-cell function. Thus, glucocorticoids may affect T cells by interfering with the TCR signaling cascade. The purpose of the study was to search for glucocorticoid-modulated kinases downstream of the TCR. METHODS: Gene modulation in lymphoid cells either treated with glucocorticoids or from glucocorticoid-treated mice was studied using a RNase protection assay, real-time PCR, and western blotting. The sensitivity of genetically modified thymocytes to glucocorticoid-induced apoptosis was studied by performing hypotonic propidium iodide staining and flow cytometry. The Student's t-test was employed for statistical evaluation. RESULTS: We found that transcription of Itk, a non-receptor tyrosine kinase of the Tec family, was up-regulated in a mouse T-cell hybridoma by the synthetic glucocorticoid dexamethasone. In contrast, dexamethasone down-regulated the expression of Txk, a Tec kinase that functions redundantly with Itk, and Lck, the Src kinase immediately downstream of the TCR. We investigated the expression of Itk, Txk, and Lck in thymocytes and mature lymphocytes following in vitro and in vivo dexamethasone treatment at different time points and doses. Kinase expression was differentially modulated and followed distinct kinetics. Itk was up-regulated in all cell types and conditions tested. Txk was strongly up-regulated in mature lymphocytes but only weakly up-regulated or non-modulated in thymocytes in vitro or in vivo, respectively. Conversely, Lck was down-regulated in thymocytes, but not modulated or up-regulated in mature lymphocytes in the different experimental conditions. This complex behaviour correlates with the presence of both positive and negative glucocorticoid responsive elements (GRE and nGRE, respectively) in the Itk, Txk

The respiratory phenotypes of cystic fibrosis (CF) and primary ciliary dyskinesia (PCD) are different, with PCD showing much slower progression. Nuclear magnetic resonance (NMR)-based metabolomics of exhaled breath condensate (EBC) recognizes markers separating children with asthma or adults with chronic obstructive pulmonary disease from healthy subjects and unstable from stable CF. No NMR studies in PCD have been reported, and whether EBC metabolic profiles in PCD differ from CF is unknown. In thuis cross-sectional stud we aimed to determine if NMR might be useful in discriminating between PCD and CF and possibly identify selective metabolites accounting for their differing prognoses.

Chronic obstructive pulmonary disease (COPD) is characterized by poorly reversible airflow limitation, with an abnormal pulmonary and systemic inflammatory response to tobacco smoking. Systemic inflammation promotes atherosclerosis, to treat the complications of which beta-blockers are paramount. In the COPD setting, however, the use of beta-blockers has been limited by fears that they could adversely affect lung function. However, by controlling adrenergic drive and reducing the heart rate, beta-blockers could reduce the risk of arrhythmias and sudden death among COPD patients. Thus, beta-blocker use is strongly supported by evidence in COPD patients with history of myocardial infarction, but warrants consideration in other cardiovascular comorbidities. Studies specifically designed to ascertain the role of beta-blockers in patients with COPD with cardiovascular conditions are still needed, because the majority of the current evidence is based on retrospective observational studies.

Leukotrienes (LTs), including cysteinyl-LTs (LTC4, LTD4 and LTE4) and LTB4, are potent inflammatory lipid mediators which have been involved in the pathophysiology of respiratory diseases. LC-MS/MS techniques for measuring LT concentrations in sputum supernatants, serum, urine and exhaled breath condensate (EBC) have been developed. In asthmatic adults, reported LTB4 and LTE4 concentrations in sputum range from 79 to 7220pg/ml and from 11.9 to 891pg/ml, respectively. Data on sputum LT concentrations in healthy subjects are not available. In EBC, reported LTE4 concentrations range from 38 to 126pg/ml (95% CI) in adult asthma patients and from 34 to 48pg/ml in healthy subjects. LTB4 concentrations in EBC range from 175 to 315pg/ml (interquartile range) in asthmatic children, and from 25 to 245pg/ml in healthy children. Enabling an accurate quantitative assessment of LTs in biological fluids, LC-MS/MS techniques provide a valuable tool for exploring the pathophysiological role of LTs in respiratory disease and might be useful for assessing the effects of therapeutic intervention. This review presents the analytical aspects of the LC-MS/MS techniques for measuring LT concentrations in biological fluids and discusses their potential utility for the assessment of airway inflammation and monitoring of pharmacological treatment in patients with asthma phenotypes and other respiratory diseases.

Objective: Adipose tissue produces adiponectin, an anti-inflammatory protein. High systemic total adiponectin is associated with a low risk for incident asthma but the association with lung adiponectin is not known. Our objective was to evaluate the association between sputum total adiponectin and asthma. Methods: This case-control study included 44 cases with objectively-confirmed asthma and an equal number of body mass index (BMI) and sex-matched controls. Serum and sputum adiponectin were estimated by ELISA and Western Blot technique, respectively. While Fisher's exact test, t-test and Spearman's correlations were used for univariate analyses, Spearman and regression analyses were performed for multivariable analyses. Results: While high-molecular-weight adiponectin was the dominant isoform in serum, medium-molecular-weight isoform was dominant in sputum. Sputum total adiponectin was not correlated with serum adiponectin or BMI. Sputum total adiponectin was lower among asthmatics than controls (p = 0.03), although individual sputum isoforms were not similarly associated. High sputum total adiponectin was associated with lower odds for asthma (OR 0.33, 95% C.I. 0.12, 0.91), even after adjustment for systemic adiposity measures including serum adiponectin. Conclusions: High sputum total adiponectin predicted lower odds for asthma, even after adjustment for serum adiponectin. Although not studied, it is possible that pharmacological modulation of sputum adiponectin may suggest new ways to prevent and/or treat asthma.

Metabolomic analysis of exhaled breath condensate in patients with asthma and COPD

Several volatile organic compounds have been identified in exhaled breath in healthy subjects and patients with respiratory diseases by gas chromatography/mass spectrometry. Identification of selective patterns of volatile organic compounds in exhaled breath could be used as a biomarker of inflammatory lung diseases. An electronic nose (e-nose) is an artificial sensor system that generally consists of an array of chemical sensors for detection of volatile organic compound profiles (breathprints) and an algorithm for pattern recognition. E-noses are handheld, portable devices that provide immediate results. E-noses discriminate between patients with respiratory disease, including asthma, COPD and lung cancer, and healthy control subjects, and also among patients with different respiratory diseases. E-nose breathprints are associated with airway inflammation activity. In combination with other 'omics' platforms, e-nose technology might contribute to the identification of new surrogate markers of pulmonary inflammation and subphenotypes of patients with respiratory diseases, provide a molecular basis to a personalized pharmacological treatment, and facilitate the development of new drugs.

Inflammatory lung diseases are highly complex in respect of pathogenesis and relationships between inflammation, clinical disease and response to treatment. Sophisticated large-scale analytical methods to quantify gene expression (transcriptomics), proteins (proteomics), lipids (lipidomics) and metabolites (metabolomics) in the lungs, blood and urine are now available to identify biomarkers that define disease in terms of combined clinical, physiological and patho-biological abnormalities. The aspiration is that these approaches will improve diagnosis, i.e. define pathological phenotypes, and facilitate the monitoring of disease and therapy, and also, unravel underlying molecular pathways. Biomarker studies can either select predefined biomarker(s) measured by specific methods or apply an "unbiased" approach involving detection platforms that are indiscriminate in focus. This article reviews the technologies presently available to study biomarkers of lung disease within the 'omics field. The contributions of the individual 'omics analytical platforms to the field of respiratory diseases are summarised, with the goal of providing background on their respective abilities to contribute to systems medicine-based studies of lung disease.

Nuclear magnetic resonance (NMR)-based metabolomics separates exhaled breath condensate (EBC) profiles of patients affected by pulmonary disease from those of healthy subjects. Here we show the discriminatory ability of NMR-based metabolomics in separating patients exposed to the same risk factor, namely, smoking habit in smoking-related diseases. Fifty duplicated EBC samples from a cohort of current smokers without chronic obstructive pulmonary disease (COPD, henceforth HS), COPD smokers, and subjects with established pulmonary Langerhans cell histiocytosis (PLCH) were analyzed by means of NMR spectroscopy followed by principal component analysis (PCA) and projection to latent structures discriminant analysis (PLS-DA). Clusterization of EBC spectra was disease-specific. COPD and PLCH samples present a profile different from that of HS, showing acetate increase and 1-methylimidazole reduction. An inverse behavior of 2-propanol and isobutyrate characterized COPD with respect to PLCH (high/low in COPD, low/high in PLCH). Both the 2-component and the 3-component PLS-DA models showed a 96% cross-validated accuracy, presenting R(2) and Q(2) values in the ranges of 0.97-0.87 and 0.91-0.78, respectively, and R(2) = 0.87 and Q(2) = 0.78, indicating that data variation is well explained by each model (R(2)), with a good predictivity (Q(2)). NMR spectra of EBC discriminate COPD and PLCH patients from HS and between them, with well-defined metabolic profiles for each class. The specificity of EBC profiles suggests that disease itself drives metabolic separation overwhelming the "common background" due to smoking habit. EBC-NMR investigation offers a powerful tool for assessing the evolution of airway diseases even in the presence of a strong common factor.

Interest in cypress allergy is widely rising: an increasing number of studies have pointed out the efficacy of immunotherapy to reduce cypress-related symptoms and drug use. Cypress immunotherapy is well tolerated, but there are few studies dealing with its sub-clinical effects on the airways. The aim of this investigation is to assess the effects of immunotherapy on airways by the analysis of exhaled breath condensate (EBC), nasal lavage fluid (NAL) and nasal cytology. Fifteen mono-sensitized to cypress pollen patients have been observed, among them 9 have been treated with sub-cutaneous immunotherapy (SCIT), 3 with sub-lingual immunotherapy (SLIT) and 3 which were not treated underwent EBC, NAL and nasal cytology out of the pollen season. 8-isoprostane in EBC, Eosinophil cationic protein (ECP) and inflammatory cells in nasal cytology were also evaluated. The median value of 8-isoprostane in EBC was 18.58 pg/ml in patients who did not undergo immunotherapy, 49.38 pg/ml in SCIT patients and 13.41 pg/ml in SLIT subjects. The median value of ECP in nasal lavage was higher in non- treated subjects (27.3 mg/l) than in those treated with SCIT (1 mg/l)(p less than 0,05) or SLIT (2.6 mg/l). All nasal cytology specimens did not show any sign of inflammation. In conclusion SLIT seems to be well tolerated and to reduce significantly the levels of ECP in nasal lavage. In addition the levels of 8-isoprostane in EBC among SCIT patients were unexpectedly high and need to be further evaluated.

Electronic noses (e-noses), artificial sensor systems generally consisting of chemical sensor arrays for the detection of volatile compound profiles, have potential applications in respiratory medicine. We assessed within-day and between-day repeatability of an e-nose made from 32 sensors in patients with stable chronic obstructive pulmonary disease (COPD). We also compared between-day repeatability of an e-nose, fraction of exhaled nitric oxide (FENO) and pulmonary function testing. Within-day and between-day repeatability for the e-nose was assessed in two breath samples collected 30 min and seven days apart, respectively. Repeatability was expressed as an intraclass correlation coefficient (ICC). All sensors had ICC above 0.5, a value that is considered acceptable for repeatability. Regarding within-day repeatability, ICC ranged from 0.75 to 0.84 (mean = 0.80 ± 0.004). Sensors 6 and 19 were the most reproducible sensors (both, ICC = 0.84). Regarding between-day repeatability, ICC ranged from 0.57 to 0.76 (mean = 0.68 ± 0.01). Sensor 19 was the most reproducible sensor (ICC = 0.76). Within-day e-nose repeatability was greater than between-day repeatability (P < 0.0001). Between-day repeatability of FENO (ICC = 0.91) and spirometry (ICC range = 0.94-0.98) was greater than that of e-nose (mean ICC = 0.68). In patients with stable COPD, the e-nose used in this study has acceptable within-day and between-day repeatability which varies between different sensors.

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Electronic noses (e-noses), artificial sensor systems generally consisting of chemical sensor arrays for the detection of volatile compound profiles, have potential applications in respiratory medicine. We assessed within-day and between-day repeatability of an e-nose made from 32 sensors in patients with stable chronic obstructive pulmonary disease (COPD). We also compared between-day repeatability of an e-nose, fraction of exhaled nitric oxide (FNO) and pulmonary function testing. Within-day and between-day repeatability for the e-nose was assessed in two breath samples collected 30 min and seven days apart, respectively. Repeatability was expressed as an intraclass correlation coefficient (ICC). All sensors had ICC above 0.5, a value that is considered acceptable for repeatability. Regarding within-day repeatability, ICC ranged from 0.75 to 0.84 (mean = 0.80 ± 0.004). Sensors 6 and 19 were the most reproducible sensors (both, ICC = 0.84). Regarding between-day repeatability, ICC ranged from 0.57 to 0.76 (mean = 0.68 ± 0.01). Sensor 19 was the most reproducible sensor (ICC = 0.76). Within-day e-nose repeatability was greater than between-day repeatability (P < 0.0001). Between-day repeatability of FNO (ICC = 0.91) and spirometry (ICC range = 0.94-0.98) was greater than that of e-nose (mean ICC = 0.68). In patients with stable COPD, the e-nose used in this study has acceptable within-day and between-day repeatability which varies between different sensors.

Inhaled bronchodilators, including beta2-agonists and antimuscaric receptor antagonists, are the mainstay of pharmacotherapy in chronic obstructive pulmonary disease (COPD). The short-acting beta(2)-agonists, including salbutamol, and fenoterol, have a rapid onset of action, a bronchodilating effect for 3-6 h and are used on demand. The long-acting beta(2)-agonists (LABAs), including salmeterol and formoterol, have 12-hour duration of action and are used with a twice-daily dosing regimen for long-term COPD treatment. Unlike salmeterol, formoterol has a rapid onset of action. Pharmacological characteristics required by novel inhaled LABAs include 24 h bronchodilator effect in vivo which would make them suitable for once daily administration (ultra-LABA), high potency and selectivity for beta2-adrenoceptors, rapid onset of action, low oral bioavailability (< 5%) after inhalation, and high systemic clearance. Indacaterol, which has been approved for long-term treatment of COPD in Europe and in the USA, has a 24-h duration of action and a once-daily dosing regimen. Newer ultra-LABAs, including olodaterol, vilanterol, milveterol, carmoterol, and abediterol, are in development. Combination with ICS (fluticasone/salmeterol, budesonide/formoterol) appears to provide an additional benefit over the monocomponent therapy, although the extent of this benefit is variable and often not clinically significant in all the endpoints assessed. In patients with COPD, treatment with ICS is associated with increased risk of pneumonia which should be carefully considered when assessing the risk/benefit ratio of ICS/LABA combinations. Subphenotyping of patients with COPD (e.g., frequent exacerbations, sputum eosinophilia, mixed asthma/COPD phenotype) might help identify those patients who are most likely to benefit from addition of ICS to bronchodilating treatment. Ultra-LABA/LAMA combination treatment is under development and is likely to become a standard pharmacological strategy for COP

Bronchodilators, generally administered via metered dose or dry powder inhalers, are the mainstays of pharmacological treatment of stable COPD. Inhaled long-acting beta-agonists (LABA) and anticholinergics are the bronchodilators primarily used in the chronic treatment of COPD. Anticholinergics act as muscarinic acetylcholine receptor antagonists and are frequently preferred over betaagonists for their minimal cardiac stimulatory effects and greater efficacy in most studies. Their therapeutic efficacy is based on the fact that vagally mediated bronchoconstriction is the major reversible component of airflow obstruction in patients with COPD. However, bronchodilators are effective only on the reversible component of airflow obstruction, which by definition is limited, as COPD is characterized by a fixed or poorly reversible airflow obstruction. Inhaled anticholinergic antimuscarinic drugs approved for the treatment of COPD include ipratropium bromide, oxitropium bromide and tiotropium bromide. Ipratropium bromide, the prototype of anticholinergic bronchodilators, is a short-acting agent. Oxitropium bromide is administered twice a day. Tiotropium bromide, the only long-acting antimuscarinic agent (LAMA) currently approved, is administered once a day. Newer LAMAs including aclidinium bromide and glycopyrrolate bromide are currently in phase III development for treatment of COPD. Some new LAMAs, including glycocpyrrolate, are suitable for once daily administration and, unlike tiotropium, have a rapid onset of action. New LAMAs and their combination with ultra-LABA and, possibly, inhaled corticosteroids, seem to open new perspectives in the management of COPD. Dualpharmacology muscarinic antagonist-beta2 agonist (MABA) molecules present a novel approach to the treatment of COPD by combining muscarinic antagonism and beta2 agonism in a single molecule.

NMR spectroscopy-based metabolomics of exhaled breath condensate in inflammatory respiratory diseases

Objectives. Nitric oxide (NO) is produced in the respiratory tract with a major contribution coming from paranasal sinuses and the nose. The pathophysiological role of NO in the airways has been debated. The aims of this study were to measure fraction of exhaled NO (FENO), a validated marker of airway inflammation, in patients affected by nasal polyposis with and without asthma; to assess the importance of FENO measurement in detecting subclinical involvement of lower airways in patients with clinical rhinosinusal symptoms; and to clarify the impact of endoscopic surgical removal of polyps on airway inflammation.Setting. The study was conducted at the O.R.L. Clinic and Clinical Pharmacology Unit, University Hospital Agostino Gemelli, Rome, Italy.Study Design. Prospective study.Subjects and Methods. Concentrations of FENO were measured with the NIOX system (Aerocrine, Stockholm, Sweden) by using a single-breath online method, according to the American Thoracic Society guidelines.Results. Compared with those in healthy subjects (15 [11-19] ppb, n = 15; P < .0001), FENO values were elevated in patients with nasal polyposis (41 [21-77] ppb, n = 43). There was no significant difference in FENO concentrations between asthmatic and nonasthmatic patients with nasal polyposis (P = .73). Concentrations of FENO in patients with nasal polyposis were decreased after surgery (64.2 [30.0-132.7] ppb vs 56.0 [26.4-73.8] ppb, respectively; P = .03).Conclusion. The fraction of exhaled NO is elevated in the inflammatory process involving both the rhinosinusal district and lower airways, supporting the one-airway disease hypothesis.

Metabolomics could provide new insights into the pathophysiology of cystic fibrosis (CF) by identifying profiles of endogenous metabolites., BACKGROUND: Metabolomics could provide new insights into the pathophysiology of cystic fibrosis (CF) by identifying profiles of endogenous metabolites. OBJECTIVES: To investigate whether metabolomics of exhaled breath condensate could discriminate between patients with unstable CF, stable CF and healthy subjects, and whether selected metabolites were responsible for between-group differences. METHODS: Twenty-nine patients with stable CF, 24 with unstable CF and 31 healthy subjects (age 9-24 years) participated in a cross-sectional study. Metabolomics was performed with high-resolution nuclear magnetic resonance spectroscopy. Partial least squares-discriminant analysis was used as classifier. The results were validated in a second independent study. RESULTS: Intraclass correlation coefficients for between-day and technical repeatability were 0.93 and 0.96, respectively. Bland-Altman analysis showed good within-day repeatability. Correct classification rate of CF (n=53) vs. healthy subjects (n=31) was 96% (R2=0.84; Q2=0.79). Model validation with a testing sample set obtained from subjects not included in the primary analysis (23 CF and 25 healthy subjects) showed a sensitivity of 91% and a specificity of 96%. The classification rate of stable CF (n=29) vs. unstable CF patients (n=24) was 95% (R2=0.82; Q2=0.78). Model external validation in 14 patients with stable CF and 16 with unstable CF showed a sensitivity of 86% and a specificity of 94%. Ethanol, acetate, 2-propanol and acetone were most discriminant between patients with CF and healthy subjects, whereas acetate, ethanol, 2-propanol and methanol were the most important metabolites for discriminating between patients with stable and unstable CF. CONCLUSIONS: Nuclear magnetic resonance spectroscopy of exhaled breath condensate is reproducible, discriminates patients with CF from healthy subjects and patients with unstable CF from those with stable CF, and identifies the metabolites responsible for between-group di

Cigarette smoking is the most important risk factor for the development of chronic obstructive pulmonary disease (COPD) and lung cancer, but only a part of smoking subjects develop these respiratory pathologies. Therefore, it is necessary to find sensible parameters to detect early lung alterations due to chronic tobacco smoke exposure. Long-term cigarette smoking is associated with a persistent inflammatory response in the lung that leads to tissue injury and dysfunction. Bronchoscopy and bronchial biopsies are the gold standard techniques for assessing pulmonary inflammation, but are invasive and not routinely used. Cellular analysis of induced sputum and measurement of fraction of exhaled nitric oxide (F(E)NO) are validated non-invasive techniques for assessing respiratory inflammation. Measurement of biomolecules in sputum supernatants and exhaled breath condensate (EBC) are used as a research tool, but require standardization of procedures and, generally, analytical validation. Electronic nose differentiates healthy smokers from healthy nonsmokers based on breath volatile organic compounds (VOC) patterns. These techniques are potentially useful for identifying biomarkers of pulmonary inflammation and oxidative stress. Induced sputum, F(E)NO, EBC and electronic nose are suitable for longitudinal sampling, thereby facilitating monitoring of lung damage process. This approach could enable an early identification of subgroups of healthy smokers at higher risk for tobacco-induced lung damage and prompt planning of secondary prevention strategies., Cigarette smoking is the most important risk factor for the development of chronic obstructive pulmonary disease (COPD) and lung cancer, but only a part of smoking subjects develop these respiratory pathologies. Therefore, it is necessary to find sensible parameters to detect early lung alterations due to chronic tobacco smoke exposure. Long-term cigarette smoking is associated with a persistent inflammatory response in the lung that leads to tissue injury and dysfunction. Bronchoscopy and bronchial biopsies are the gold standard techniques for assessing pulmonary inflammation, but are invasive and not routinely used. Cellular analysis of induced sputum and measurement of fraction of exhaled nitric oxide (F(E)NO) are validated non-invasive techniques for assessing respiratory inflammation. Measurement of biomolecules in sputum supernatants and exhaled breath condensate (EBC) are used as a research tool, but require standardization of procedures and, generally, analytical validation. Electronic nose differentiates healthy smokers from healthy nonsmokers based on breath volatile organic compounds (VOC) patterns. These techniques are potentially useful for identifying biomarkers of pulmonary inflammation and oxidative stress. Induced sputum, F(E)NO, EBC and electronic nose are suitable for longitudinal sampling, thereby facilitating monitoring of lung damage process. This approach could enable an early identification of subgroups of healthy smokers at higher risk for tobacco-induced lung damage and prompt planning of secondary prevention strategies

The lack of standardized procedures for exhaled breath condensate (EBC), a noninvasive technique for investigating lung inflammatory mediators, makes it difficult between-laboratory comparison of results. Moreover, different collecting devices have been reported to influence the EBC content. Analysis of metabolic profiles (“metabolomics”) of EBC with nuclear magnetic resonance (NMR) spectroscopy discriminates between chronic obstructive pulmonary disease (COPD) patients and healthy subjects (HS), between asthmatic children and HS, and between patients with stable cystic fibrosis, unstable cystic fibrosis and HS. This approach has recently been questioned, as NMR-based metabolomics of EBC collected using a condenser with reusable parts was reported to be affected by cleaning procedures, generating artificial signals not related to the endogenous metabolites of the lungs. In this study, we assessed: the effects of a different cleaning procedure of a reusable-part condenser on EBC metabolomics; the possible time and carry-over effects when the same device is repeatedly used; technique sensitivity; the ability of NMR spectroscopy of EBC to discriminate between COPD patients and HS; its potential for identifying selective EBC metabolites.

In studies comparing regular versus on-demand treatment for patients with mild persistent asthma, on-demand treatment seems to have a similar efficacy on clinical and functional outcomes, but it does not suppress chronic airway inflammation or airway hyper-responsiveness (AHR) associated with asthma. Data on the efficacy of a continuous treatment with inhaled corticosteroids (ICS) in preventing the progression of asthma are conflicting. There is the possibility that patients without a regular treatment with ICS may develop a more severe asthma associated with airway structural changes (remodeling) and a progressive loss of lung function. However, the possible clinical and functional consequences of persistent, not controlled, airway inflammation in patients with asthma have to be established. Assessment of asthma control should include inflammatory outcomes, such as fraction of exhaled nitric oxide and sputum eosinophil counts. Until the relationships between symptoms, lung function tests, AHR, airway inflammation, exacerbations, and airway remodeling are clarified, regular treatment seems to be generally more appropriate than on-demand treatment to warrant a greater control of asthma. Select subgroups of patients with mild asthma who are well controlled by regular treatment might adopt the on-demand treatment plan as an intermediate step toward the suspension of controller medication. The increasing evidence for heterogeneity of asthma, the growing emphasis on asthma subphenotypes, including molecular phenotypes identified by omics technologies, and their possible implications for different asthma severity and progression and therapeutic response, are changing the paradigm of treating patients with asthma only based on classification of their disease severity to a pharmacological strategy more focused on the individual asthmatic patient. Pharmacological treatment of asthma is going toward a personalized approach., In studies comparing regular versus on-demand treatment for patients with mild persistent asthma, on-demand treatment seems to have a similar efficacy on clinical and functional outcomes, but it does not suppress chronic airway inflammation or airway hyper-responsiveness (AHR) associated with asthma. Data on the efficacy of a continuous treatment with inhaled corticosteroids (ICS) in preventing the progression of asthma are conflicting. There is the possibility that patients without a regular treatment with ICS may develop a more severe asthma associated with airway structural changes (remodeling) and a progressive loss of lung function. However, the possible clinical and functional consequences of persistent, not controlled, airway inflammation in patients with asthma have to be established. Assessment of asthma control should include inflammatory outcomes, such as fraction of exhaled nitric oxide and sputum eosinophil counts. Until the relationships between symptoms, lung function tests, AHR, airway inflammation, exacerbations, and airway remodeling are clarified, regular treatment seems to be generally more appropriate than on-demand treatment to warrant a greater control of asthma. Select subgroups of patients with mild asthma who are well controlled by regular treatment might adopt the on-demand treatment plan as an intermediate step toward the suspension of controller medication. The increasing evidence for heterogeneity of asthma, the growing emphasis on asthma subphenotypes, including molecular phenotypes identified by omics technologies, and their possible implications for different asthma severity and progression and therapeutic response, are changing the paradigm of treating patients with asthma only based on classification of their disease severity to a pharmacological strategy more focused on the individual asthmatic patient. Pharmacological treatment of asthma is going toward a personalized approach.

Until the relationship between symptoms, lung function tests, airway inflammation, airway hyper-responsiveness (AHR), exacerbations and remodelling is clarified, regular treatment seems to enable a greater disease control than on-demand therapy in most patients with mild persistent asthma. Current guideline classification based on disease severity remains a cornerstone in asthma management. However, the heterogeneity of asthma, the growing emphasis on subphenotypes, including molecular phenotypes identified by -omics technologies, and their possible implications in terms of different asthma severity, progression and therapeutic response, are changing current asthma treatment mainly based on disease severity classification to a pharmacological strategy more focused on the individual patient., Until the relationship between symptoms, lung function tests, airway inflammation, airway hyper-responsiveness (AHR), exacerbations and remodelling is clarified, regular treatment seems to enable a greater disease control than on-demand therapy in most patients with mild persistent asthma. Current guideline classification based on disease severity remains a cornerstone in asthma management. However, the heterogeneity of asthma, the growing emphasis on subphenotypes, including molecular phenotypes identified by -omics technologies, and their possible implications in terms of different asthma severity, progression and therapeutic response, are changing current asthma treatment mainly based on disease severity classification to a pharmacological strategy more focused on the individual patient.

Exhaled breath condensate (EBC) is a noninvasive method for collecting airway secretions and for studying the composition of the airway lining fluid. Several biomolecules, including leukotrienes, prostaglandins, isoprostanes, hydrogen peroxide, nitric oxide-derived products, hydrogen ions, and adenosine triphosphate, have been measured in healthy subjects. Some of these inflammatory mediators are elevated in patients with chronic obstructive pulmonary disease (COPD). Analysis of biomolecules in EBC is potentially useful for monitoring of lung inflammation and oxidative stress, which is an important component of inflammation, in patients with COPD. As it is completely noninvasive, EBC might also be suitable for longitudinal studies, and for monitoring the effects of pharmacological therapy in patients with COPD. Different profiles of biomarkers in EBC might reflect different aspects of lung inflammation or oxidative stress. Identification of selective profiles of biomarkers in EBC in lung diseases might have a value for differential diagnosis in respiratory medicine. However, several methodological aspects have to be formally addressed and standardization of EBC methodology is required before this technique can be considered for application in the clinical setting.

Exhaled breath consists of a gaseous phase that contains volatile biomolecules (e.g., nitric oxide, carbon monoxide and volatile organic compounds) and a liquid phase, known as exhaled breath condensate (EBC), that is mainly formed by water vapour, but also contains aerosol particles in which non-volatile biomolecules have been detected. As it is completely non-invasive, EBC might also be suitable for longitudinal studies, and for monitoring the efficacy of pharmacotherapy in patients with COPD. Different profiles of biomarkers might reflect different aspects of lung inflammation or oxidative stress, that is an important component of inflammation. Identification of selective profiles of biomarkers in lung diseases might be of value for differential diagnosis in respiratory medicine. However, the possible application EBC analysis in the clinical setting requires the elucidation of several methodological aspects, including standardization this technique and validation of the analytical methods commonly used to measure biomolecules in EBC. This article summarizes the results of the EBC analysis in patients with COPD, discusses some methodological aspects, presents advantages and limitations of this technique, and proposes directions for future research.

United airway disease (UAD) concept proposed that asthma and rhinitis are both different clinical manifestation of a single inflammatory process. The aim of this study is to assess in upper and lower airways the level of inflammation and oxidative stress and to investigate the relationship between biomarkers in persistent allergic rhinitis (PER) and in concomitant asthma with PER. By a crosssectional study we measured oral and nasal (FENO) and oral and nasal EBC 8-isoprostane, LTB4 and PGE2 in children with PER (n=14) and with PER and concomitant intermittent asthma (IA; n=25), mild persistent asthma (mA; n=28), moderate persistent asthma (MA; n=13) and in Healthy Controls (HCs; n=13). Oral and nasal FENO concentrations were increased in children with PER, IA, mA and MA when compared with HCs. Nasal 8-isoprostane was higher in EBC of children with PER and asthma than in HCs. Oral and nasal LTB4 were higher in EBC of children with PER and mA than in HCs. Oral and nasal PGE2 concentrations were higher in EBC of children with PER than in HCs. Positive correlations between oral and nasal biomarkers were found in IA for LTB4 and PGE2, in mA for FENO, 8-isoprostane, LTB4 and PGE2, and in MA for PGE2. No correlations were observed in children with PER and HCs. Our results suggest that non-invasive markers of inflammation and oxidative stress might be useful to study the relationships between oral and nasal compartments in allergic children with PER and concomitant asthma with the aim of defining the UAD.