Assessment of breath volatile organic compounds in acute cardiorespiratory breathlessness: a protocol describing a prospective real-world observational study

Introduction Patients presenting with acute undifferentiated breathlessness are commonly encountered in admissions units across the UK. Existing blood biomarkers have clinical utility in distinguishing patients with single organ pathologies but have poor discriminatory power in multifactorial presentations. Evaluation of volatile organic compounds (VOCs) in exhaled breath offers the potential to develop biomarkers of disease states that underpin acute cardiorespiratory breathlessness, owing to their proximity to the cardiorespiratory system. To date, there has been no systematic evaluation of VOC in acute cardiorespiratory breathlessness. The proposed study will seek to use both offline and online VOC technologies to evaluate the predictive value of VOC in identifying common conditions that present with acute cardiorespiratory breathlessness. Methods and analysis A prospective real-world observational study carried out across three acute admissions units within Leicestershire. Participants with self-reported acute breathlessness, with a confirmed primary diagnosis of either acute heart failure, community-acquired pneumonia and acute exacerbation of asthma or chronic obstructive pulmonary disease will be recruited within 24 hours of admission. Additionally, school-age children admitted with severe asthma will be evaluated. All participants will undergo breath sampling on admission and on recovery following discharge. A range of online technologies including: proton transfer reaction mass spectrometry, gas chromatography ion mobility spectrometry, atmospheric pressure chemical ionisation-mass spectrometry and offline technologies including gas chromatography mass spectroscopy and comprehensive two-dimensional gas chromatography-mass spectrometry will be used for VOC discovery and replication. For offline technologies, a standardised CE-marked breath sampling device (ReCIVA) will be used. All recruited participants will be characterised using existing blood biomarkers including C reactive protein, brain-derived natriuretic peptide, troponin-I and blood eosinophil levels and further evaluated using a range of standardised questionnaires, lung function testing, sputum cell counts and other diagnostic tests pertinent to acute disease. Ethics and dissemination The National Research Ethics Service Committee East Midlands has approved the study protocol (REC number: 16/LO/1747). Integrated Research Approval System (IRAS) 198921. Findings will be presented at academic conferences and published in peer-reviewed scientific journals. Dissemination will be facilitated via a partnership with the East Midlands Academic Health Sciences Network and via interaction with all UK-funded Medical Research Council and Engineering and Physical Sciences Research Council molecular pathology nodes. Trial registration number NCT0367299

COPD exacerbation severity and frequency is associated with impaired macrophage efferocytosis of eosinophils

Background: Eosinophilic airway inflammation is observed in 10-30% of COPD subjects. Whether increased eosinophils or impairment in their clearance by macrophages is associated with the severity and frequency of exacerbations is unknown. Methods: We categorised 103 COPD subjects into 4 groups determined by the upper limit of normal for their cytoplasmic macrophage red hue (<6%), an indirect measure of macrophage efferocytosis of eosinophils, and area under the curve sputum eosinophil count (≥3%/year). Eosinophil efferocytosis by monocyte-derived macrophages was studied in 17 COPD subjects and 8 normal controls. Results: There were no differences in baseline lung function, health status or exacerbation frequency between the groups: A-low red hue, high sputum eosinophils (n = 10), B-high red hue, high sputum eosinophils (n = 16), C-low red hue, low sputum eosinophils (n = 19) and D- high red hue, low sputum eosinophils (n = 58). Positive bacterial culture was lower in groups A (10%) and B (6%) compared to C (44%) and D (21%) (p = 0.01). The fall in FEV1 from stable to exacerbation was greatest in group A (ΔFEV1 [95 % CI] -0.41 L [-0.65 to -0.17]) versus group B (-0.16 L [-0.32 to -0.011]), C (-0.11 L [-0.23 to -0.002]) and D (-0.16 L [-0.22 to -0.10]; p = 0.02). Macrophage efferocytosis of eosinophils was impaired in COPD versus controls (86 [75 to 92]% versus 93 [88 to 96]%; p = 0.028); was most marked in group A (71 [70 to 84]%; p = 0.0295) and was inversely correlated with exacerbation frequency (r = -0.63; p = 0.006). Conclusions: Macrophage efferocytosis of eosinophils is impaired in COPD and is related to the severity and frequency of COPD exacerbations

Exacerbations of severe asthma in patients treated with mepolizumab

Mepolizumab, a humanised monoclonal antibody that neutralises interleukin-5, reduces exacerbations of severe eosinophilic asthma and chronic obstructive pulmonary disease (COPD) [1, 2]. The beneficial effect of treatment is most obvious in patients with a raised peripheral blood eosinophil count, a group who are at high risk of exacerbation off treatment [2, 3]. Even in this population, exacerbation rates whilst receiving mepolizumab are around one per patient per year. The nature of these remaining exacerbations has not been described. We carried out a post hoc comparison of exacerbations occurring during treatment with mepolizumab or placebo in a previously reported, double-blind, placebo-controlled trial of mepolizumab in severe eosinophilic asthma [1]. We tested the hypothesis that exacerbations in each group differ with respect to change in symptom scores, forced expiratory volume in 1 s (FEV1) and inflammatory profile

Volatile organic compounds in a headspace sampling system and asthmatics sputum samples.

Background:The headspace of a biological sample contains exogenous VOCs present within the sampling environment which represent the background signal.Study aims:This study aimed to characterise the background signal generated from a headspace sampling system in a clinical site, to evaluate intra- and inter-day variation of background VOC and to understand the impact of a sample itself upon commonly reported background VOC using sputum headspace samples from severe asthmatics.Methods:The headspace, in absence of a biological sample, was collected hourly from 11am to 3pm within a day (time of clinical samples acquisition), and from Monday to Friday in a week, and analysed by thermal desorption-gas chromatography-mass spectrometry (TD-GC-MS). Chemometric analysis identified 1120 features, 37 of which were present in at least the 80% of all the samples. The analyses of intra- and inter-day background variations were performed on thirteen of the most abundant features, ubiquitously present in headspace samples. The concentration ratios relative to background were reported for the selected abundant VOC in 36 asthmatic sputum samples, acquired from 36 stable severe asthma patients recruited at Glenfield Hospital, Leicester, UK.Results:The results identified no significant intra- or inter-day variations in compounds levels and no systematic bias of z-scores, with the exclusion of benzothiazole, whose abundance increased linearly between 11am and 3pm with a maximal intra-day fold change of 2.13. Many of the identified background features are reported in literature as components of headspace of biological samples and are considered potential biomarkers for several diseases. The selected background features were identified in headspace of all severe asthma sputum samples, albeit with varying levels of enrichment relative to background.Conclusion:Our observations support the need to consider the background signal derived from the headspace sampling system when developing and validating headspace biomarker signatures using clinical samples

A Feasibility Study of a Randomized Controlled Trial of Asthma-Tailored Pulmonary Rehabilitation Compared with Usual Care in Adults with Severe Asthma

Background: Currently, the acceptability and efficacy of pulmonary rehabilitation for adults with severe asthma is unknown. Objective: To investigate the feasibility of performing a randomized controlled trial of asthma-tailored pulmonary rehabilitation (AT-PR) versus usual care (UC). Methods: Adults with severe asthma were recruited and randomized 2:1 to AT-PR and UC. The primary outcomes were recruitment, retention, and serious adverse event rates. Secondary outcome measures included those for a future trial assessing the feasibility of collecting data. Assessments were performed at baseline, 12 weeks, and 9 months including measures of physical performance, health-related quality of life, and asthma control. A recruitment rate of 30% was estimated with 95% CI of ±7%, a retention rate of 75% ± 14% if we recruited 40 patients to AT-PR, and a serious adverse event rate of 2.5%. Results: Sixty-one (26%) of 238 eligible patients were recruited (38 women; mean age, 54 ± 13 years; body mass index, 32 ± 7 kg/m2; FEV1, 1.9 ± 0.7 L; FEV1/forced vital capacity, 69% ± 11%). Fifty-one patients were randomized to AT-PR (n = 34) and UC (n = 17). The retention rate was 62% for the AT-PR group and 53% for the UC group, with a serious adverse event rate of 3.3% related to the study visits. Overall collection of the outcome measures was feasible. The results of the AT-PR group were suggestive of improvements in exercise performance, health-related quality of life, and asthma control, but the UC group results were either unchanged or worsened. Conclusions: Both recruitment and retention rates were within the a priori estimated 95% CI. Our results indicate that AT-PR may be efficacious for adults with severe asthma but any future intervention and trial design would need further modifications to improve acceptability and retention rate

Volatile organic compounds in a headspace sampling system and asthmatics sputum samples

The headspace of a biological sample contains exogenous volatile organic compounds (VOCs) present within the sampling environment which represent the background signal. This study aimed to characterise the background signal generated from a headspace sampling system in a clinical site, to evaluate intra- and inter-day variation of background VOC and to understand the impact of a sample itself upon commonly reported background VOC using sputum headspace samples from severe asthmatics. The headspace, in absence of a biological sample, was collected hourly from 11am to 3pm within a day (time of clinical samples acquisition), and from Monday to Friday in a week, and analysed by thermal desorption-gas chromatography-mass spectrometry (TD-GC-MS). Chemometric analysis identified 1120 features, 37 of which were present in at least the 80% of all the samples. The analyses of intra- and inter-day background variations were performed on 13 of the most abundant features, ubiquitously present in headspace samples. The concentration ratios relative to background were reported for the selected abundant VOC in 36 asthmatic sputum samples, acquired from 36 stable severe asthma patients recruited at Glenfield Hospital, Leicester, UK. The results identified no significant intra- or inter-day variations in compounds levels and no systematic bias of z-scores, with the exclusion of benzothiazole, whose abundance increased linearly between 11am and 3pm with a maximal intra-day fold change of 2.13. Many of the identified background features are reported in literature as components of headspace of biological samples and are considered potential biomarkers for several diseases. The selected background features were identified in headspace of all severe asthma sputum samples, albeit with varying levels of enrichment relative to background. Our observations support the need to consider the background signal derived from the headspace sampling system when developing and validating headspace biomarker signatures using clinical samples

Lung Computational Models and the Role of the Small Airways in Asthma

Rationale: Asthma is characterized by disease within the small airways. Several studies have suggested that forced oscillation technique–derived resistance at 5 Hz (R5) 2 resistance at 20 Hz (R20) is a measure of small airway disease; however, there has been limited validation of this measurement to date. Objectives: To validate the use of forced oscillation R5 2 R20 as a measure of small airway narrowing in asthma, and to investigate the role that small airway narrowing plays in asthma. Methods: Patient-based complete conducting airway models were generated from computed tomography scans to simulate the impact of different degrees of airway narrowing at different levels of the airway tree on forced oscillation R5 2 R20 (n = 31). The computational models were coupled with regression models in an asthmatic cohort (n = 177) to simulate the impact of small airway narrowing on asthma control and quality of life. The computational models were used to predict the impact on small airway narrowing of type-2 targeting biologics using pooled data from two similarly design randomized, placebo-controlled biologic trials (n = 137). Measurements and Main Results: Simulations demonstrated that narrowing of the small airways had a greater impact on R5 2 R20 than narrowing of the larger airways and was associated (above a threshold of approximately 40% narrowing) with marked deterioration in both asthma control and asthma quality of life, above the minimal clinical important difference. The observed treatment effect on R5 2 R20 in the pooled trials equated to a predicted small airway narrowing reversal of approximately 40%. Conclusions: We have demonstrated, using computational modeling, that forced oscillation R5 2 R20 is a direct measure of anatomical narrowing in the small airways and that small airway narrowing has a marked impact on both asthma control and quality of life and may be modified by biologics

Airway Pathological Heterogeneity in Asthma: Visualisation of Disease Micro-Clusters using Topological Data Analysis

Background: Asthma is a complex chronic disease underpinned by pathological changes within the airway wall. How variations in structural airway pathology and cellular inflammation contribute to expression and severity of asthma are poorly understood. Objectives: We therefore evaluated pathological heterogeneity using topological data analysis (TDA) with the aim of visualizing disease clusters and microclusters. Methods: A discovery population of 202 adult patients [142 asthma, 60 healthy] and an external replication population [59 severe asthma] were evaluated. Pathology and gene expression were examined in bronchial biopsy samples. TDA was applied using pathological variables alone to create pathology-driven visual networks. Results: In the discovery cohort, TDA identified four groups/networks with multiple micro clusters/regions of interest that were masked by group level statistics. Specifically, TDA group 1 consisted of a high proportion of healthy subjects with a microcluster representing a topological continuum connecting healthy subjects to patients with mild-moderate asthma. Three additional moderate to severe asthma TDA groups (airway smooth muscleHIGH , reticular basement membraneHIGH and RemodellingLOW) were identified and contained numerous microclusters with varying pathological and clinical features. Mutually exclusive Th2 and Th17 tissue gene expression signatures were identified in all pathological groups. Discovery and external replication applied to the severe asthma subgroup only, identified highly similar 'pathological data shapes' via analyses of persistent homology. Conclusions: We have identified and replicated novel pathological phenotypes of asthma using topological data analysis. Our methodology is applicable to other complex chronic disease

Visualisation of exhaled breath metabolites reveals distinct diagnostic signatures for acute cardiorespiratory breathlessness

Breath analysis can be a useful noninvasive way to detect disease. Here, Ibrahim et al. studied the volatile organic compound (VOC) signatures associated with acute cardiorespiratory diseases in patients presenting breathlessness. Using two-dimensional gas chromatography and mass spectrometry, the authors found clusters of VOCs associated with acute heart failure, asthma, chronic obstructive pulmonary disease, and pneumonia. These breath biomarkers correlated with blood-based biomarkers. An acute disease VOC score based on a 101-biomarker panel was associated with 2-year all-cause mortality. This study demonstrates how breathomics can help diagnose disease and further our understanding of metabolic subgroups

A CEACAM6-high airway neutrophil phenotype and CEACAM6-high epithelial cells are features of severe asthma

Severe asthma represents a major unmet clinical need; understanding the pathophysiology is essential for the development of new therapies. Using microarray analysis, we previously found three immunological clusters in asthma: Th2-high, Th17-high, and Th2/17-low. Although new therapies are emerging for Th2-high disease, identifying molecular pathways in Th2-low disease remains an important goal. Further interrogation of our previously described microarray dataset revealed upregulation of gene expression for carcinoembryonic Ag cell adhesion molecule (CEACAM) family members in the bronchi of patients with severe asthma. Our aim was therefore to explore the distribution and cellular localization of CEACAM6 using immunohistochemistry on bronchial biopsy tissue obtained from patients with mild-to-severe asthma and healthy control subjects. Human bronchial epithelial cells were used to investigate cytokine and corticosteroid in vitro regulation of CEACAM6 gene expression. CEACAM6 protein expression in bronchial biopsies was increased in airway epithelial cells and lamina propria inflammatory cells in severe asthma compared with healthy control subjects. CEACAM6 in the lamina propria was localized to neutrophils predominantly. Neutrophil density in the bronchial mucosa was similar across health and the spectrum of asthma severity, but the percentage of neutrophils expressing CEACAM6 was significantly increased in severe asthma, suggesting the presence of an altered neutrophil phenotype. CEACAM6 gene expression in cultured epithelial cells was upregulated by wounding and neutrophil elastase. In summary, CEACAM6 expression is increased in severe asthma and primarily associated with airway epithelial cells and tissue neutrophils. CEACAM6 may contribute to the pathology of treatment-resistant asthma via neutrophil and airway epithelial cell–dependent pathways