Abstract
PExA mass can distinguish asthmatics from healthy individuals. Subjects with complete, but not clinical, asthma remission exhale more PExA mass compared to asthma. Higher PExA mass was associated with better function of both the small and large airways. http://bit.ly/2znHABg
To the Editor:
Asthma is a chronic disease, characterised by variable airflow obstruction and airway inflammation [1]. Small airways are thought to be a major site of pathology in asthma [2, 3]. There are different tools to assess small airways dysfunction (SAD), such as spirometry, body plethysmography, impulse oscillometry (IOS), multiple-breath nitrogen washout (MBNW), alveolar fraction of exhaled nitric oxide (FENO) and gas trapping assessed by high-resolution computed tomography (CT). However, there is no golden standard and some tests are difficult to perform [2, 3]. Particles in exhaled air (PExA) is a recently developed technique with the potential to identify SAD phenotypes in asthma [4, 5]. PExA measurements are noninvasive and easy for subjects to perform, even in severely obstructed patients. PExA captures the aerosol from exhaled breath, and specifically those endogenously generated particles in the size range 0.5–4 µm that are formed during airway closure and reopening. These particles contain water and nonvolatile material originating from the respiratory tract lining fluid [6]. It is thought that SAD leads to impaired reopening of airways or altered composition of the respiratory tract lining fluid, causing fewer particles to be formed [7]. Therefore, severity of SAD is expected to be associated with a reduction of particles measured by PExA.
Some patients with asthma outgrow their disease and reach clinical asthma remission (ClinR); these individuals experience no asthma symptoms even without using asthma medication. Patients in ClinR, however, might still have (asymptomatic) bronchial hyperresponsiveness (BHR) or impaired lung function [8–10]. Broekema et al. [11] demonstrated that subjects in ClinR still had ongoing airway inflammation. In contrast, a smaller subset of asthma remission subjects may lack BHR and regain normal lung function, i.e. complete asthma remission (ComR) [10].
We hypothesised that more SAD leads to decreased exhalation of PExA particles and that this SAD is still present in ClinR but absent in ComR subjects. Therefore, we compared exhaled PExA mass between ClinR and ComR subjects in relation to asthma patients and healthy controls. The second aim of this study was to investigate how PExA mass is associated with other measures of small and large airways function in these groups.
The study protocol was approved by the local ethical committee and all subjects gave informed consent (NL53173.042.15; Groningen, the Netherlands). The included subjects were divided over four groups: the first three groups were subjects with childhood-onset asthma that 1) persisted (PersA; subjects with wheezing and/or asthma attacks, asthma medication use, and a provocative concentration causing a 20% fall in forced expiratory volume in 1 s (PC20) for methacholine of <8 mg·mL−1 with 120 s tidal breathing), or that 2) had gone into clinical asthma remission (ClinR; subjects without wheezing/asthma attacks, no use of asthma medication in the last 3 years, with a documented history of asthma according to Global Initiative for Asthma guidelines, a forced expiratory volume in 1 s (FEV1) <80% predicted and/or PC20 methacholine <8 mg·mL−1), or 3) into complete asthma remission (ComR; similar to ClinR, but with an FEV1 ≥80% pred, PC20 methacholine ≥8 mg·mL−1 and PC20 AMP ≥320 mg·mL−1); the fourth group was healthy controls (Ctrl; similar to ComR, but without any history of asthma or use of asthma medication). All subjects were aged 40–65 years and were either never- or ex-smokers with a smoking history <10 pack-years. Subjects were extensively characterised with the following tests: spirometry, body plethysmography, IOS, FENO, MBNW, provocation tests, blood tests, sputum induction and CT scans. PersA subjects were withdrawn from inhaled corticosteroids 6 weeks prior to the clinical characterisation.
PExA mass was collected using the PExA 2.0 device [5]. All subjects performed a similar breathing manoeuvre as described by Bake et al. [6]. To account for potential bias effects of circadian rhythm, all PExA measurements were performed in the morning.
Parametric response mapping (PRM) is a voxel-wise image analysis technique that was implemented on the CT scans. PRM data were analysed according to the methods described in the literature [12, 13].
Clinical characteristics and PExA mass in the subject groups were compared using independent sample t-test for normally distributed data (including log2-transformed variables), Mann–Whitney U-tests for non-normally distributed data and Fisher's exact tests for categorical variables. Likewise, PExA mass was correlated with small and large airway parameters using either Pearson or Spearman tests. Last, a stepwise multivariate regression analysis was performed to assess independent associations with PExA mass.
Clinical characteristics of the subject groups are presented in table 1. ComR subjects were significantly younger than PersA subjects (p=0.027). The FEV1 was significantly higher in Ctrl and ComR compared to PersA subjects, and higher in ComR compared to ClinR subjects.
Clinical characteristics for the subject groups and bivariate correlations between particles in exhaled air (PExA) mass and small and large airways parameters
PExA mass was significantly lower in PersA compared to ComR and Ctrl subjects (p=0.028 and p=0.003, respectively) (figure 1). In addition, PExA mass was significantly lower in ClinR compared to Ctrl subjects (p=0.018). Comparison of particle size distribution per group did not yield additional information. This is the first study investigating exhaled particles in asthma remission subjects, showing a similar PExA mass in ComR compared to healthy controls and a decrease in PExA mass in ClinR compared to healthy controls, even though these individuals experience no wheeze or asthma attacks. Our findings are in concordance with the previously stated hypothesis that more SAD leads to decreased exhalation of particles. The fact that ClinR subjects exhale fewer particles suggests that these subjects still have ongoing SAD similar to persistent asthmatics. In contrast, ComR subjects exhale similar amounts of particles compared to healthy controls, possibly due to outgrown SAD. Next, we assessed the correlations between PExA mass and known small and large airway parameters. Results of these bivariate correlations are presented in table 1. Increased PExA mass was associated with less severe BHR and parameters of both large airway function (higher FEV1 % pred and higher ratio of FEV1 to forced vital capacity (FVC)) and small airway function (higher forced expiratory flow at 25–75% of the pulmonary volume % pred, less hyperinflation as reflected by lower residual volume % pred, lower IOS resistance at 5 Hz minus resistance at 20 Hz (R5−R20) and decreased MBNW conductive ventilation heterogeneity multiplied by tidal volume (Scond×VT)). No correlation with PExA mass and PRM-defined (functional) small airways disease was observed. Finally, a stepwise multiple regression analysis was performed, including all variables significantly associated with PExA mass in the bivariate analysis (table 1). This analysis showed that MBNW Scond×VT was independently associated with PExA mass.
Particles in exhaled air (PExA) mass per subject group. Independent sample t-test p-values are shown. Ctrl: healthy controls (n=18); ComR: complete asthma remission subjects (n=12); ClinR: clinical asthma remission subjects (n=16); PersA: persistent asthma patients (n=18).
Soares et al. [4] found a correlation between mean number of particles per exhalation and FEV1/FVC ratio (R=0.246, p=0.021), and between surfactant A PExA concentration and R5−R20 (R=0.257, p<0.05). In accordance with these findings of Soares et al. [4], we show that increased PExA mass is associated with better function of both the large and the small airways.
In conclusion, PExA mass can distinguish asthmatics from healthy individuals. In addition, we show that subjects with complete, but not clinical, asthma remission exhale more PExA mass compared to asthma subjects. Our findings are in concordance with previous studies showing that decreased PExA mass is associated with more severe obstructive pulmonary disease [7, 14]. These results reinforce the theory that clinical asthma remission subjects still have ongoing SAD and that subjects in complete asthma remission have completely outgrown their disease [10]. Our observations demonstrate that higher PExA mass is not only related to better large airway function, but also independently associated with SAD as reflected by Scond. This indicates that PExA mass could potentially be used as a tool to assess SAD. Future research should focus on exploring the composition of exhaled particles to gain more insight into the pathophysiology of SAD in asthma persistence and remission.
Footnotes
Author contributions: O.A. Carpaij, S. Muiser, M. van den Berge and A-C. Olin interpreted the subjects’ data and PExA results. O.A. Carpaij, S. Muiser and M. van den Berge were involved in drafting the manuscript. H.A.M. Kerstjens, M.C. Nawijn, S. Siddiqui and A.J. Bell were involved in conception and design of the study, and interpretation of the data, and contributed to writing the manuscript. S. Siddiqui and A.J. Bell conducted the image analysis of the CT scans. All authors read and approved the final manuscript.
Conflict of interest: O.A. Carpaij has nothing to disclose.
Conflict of interest: S. Muiser has nothing to disclose.
Conflict of interest: A.J. Bell has nothing to disclose.
Conflict of interest: H.A.M. Kerstjens reports an unrestricted research grant and fees for participation in advisory boards from GlaxoSmithKline (the sponsor of this study), as well as from Boehringer Ingelheim and Novartis. He also reports fees for advisory board participation from AstraZeneca and Chiesi, board membership fees from Almirall, and fees per patient for recruitment in trials from GlaxoSmithKline, Novartis and Fluidda. All the above were paid to his institution.
Conflict of interest: C.J. Galban reports that Parametric Response Mapping, of which he is a coinventor, is licenced to Imbio, LLC, by the University of Michigan.
Conflict of interest: A.B. Fortuna has nothing to disclose.
Conflict of interest: S. Siddiqui reports grants from the Chiesi Onulus Foundation, Midlands Asthma and Allergy Research Association, the NIHR Biomedical Research Centre, the Sir Jules Thorne Trust and the Medical Research Council, and personal fees from Chiesi, GlaxoSmithKline, AstraZeneca, Novartis, Owlstone Medical, Napp, Mundipharma, Boehringer Ingelheim and ERT Medical, outside the submitted work.
Conflict of interest: A-C. Olin reports that she has patent WO2009045163 (Collection and measurement of exhaled particles) issued and patent WO2013117747 l (A device and method for non-invasive analysis of particles during medical ventilation) pending.
Conflict of interest: M.C. Nawijn reports grants from GlaxoSmithKline Ltd and the Ministry of Economic Affairs and Climate Policy during the conduct of the study.
Conflict of interest: M. van den Berge reports grants paid to his institution from GlaxoSmithKline, TEVA, AstraZeneca, Chiesi and Genentech, outside the submitted work.
Support statement: This project was sponsored by GlaxoSmithKline, supported by grants from the National Institute for Health Research (NIHR) Leicester (Biomedical Research Centre: Respiratory Theme; grant agreement number RM65G0113), and is co-financed by the Ministry of Economic Affairs and Climate Policy by means of the PPP Allowance made available by the Top Sector Life Sciences and Health to stimulate public–private partnerships. The views expressed are those of the authors and not necessarily those of the National Health Service, the NIHR or the Dept of Health. Funding information for this article has been deposited with the Crossref Funder Registry.
- Received August 15, 2019.
- Accepted August 19, 2019.
- Copyright ©ERS 2019
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