Relationship of sputum mast cells with clinical and inflammatory characteristics of asthma

Abstract

Background Mast cells (MCs) are innate immune cells that regulate atopic and non‐atopic inflammation in the airways. MCs play a critical role in the pathogenesis of asthma, yet their relationship to airway and systemic inflammation and clinical characteristics of asthma is poorly understood. Objective To quantify MCs in induced sputum samples and understand their relationship to airway and circulatory immune cells, and clinical variables in asthma. Methods We employed flow cytometry of sputum samples to quantify MCs, basophils and other immune cells in 51 participants (45 asthma, 6 non‐asthma controls). Relationship of MCs to airway (n=45) and blood (n=19) immune cells, participant demographics, asthma history, spirometry and airways hyperresponsiveness (AHR) to hypertonic saline was determined by correlation and comparison of cut‐off‐based sputum MC high vs low participants. Results MCs, basophils and eosinophils were increased in asthma vs non‐asthma control sputum. In asthma sputum, MCs, basophils and eosinophils were significantly intercorrelated, and MCs and basophils were elevated in participants with eosinophilic asthma. MCs and basophils, but not eosinophils, correlated with AHR. Sputum MC high asthma was characterised by an increased proportion of participants with uncontrolled asthma, and reduced FEV₁ and FVC. Trends towards similar clinical associations with elevated MCs were observed in a paucigranulocytic subpopulation (n=15) lacking airway eosinophilia or neutrophilia. Receiver operator characteristic (ROC) analysis showed peripheral blood eosinophil (PBE) count predicted elevated sputum eosinophils and basophils, but not MCs. Conclusions & Clinical Relevance Sputum MCs are elevated in asthma and their measurement may be useful as they relate to key clinical features of asthma (spirometry, asthma control, AHR). PBE count did not predict airway MC status, suggesting direct measurement of airway MCs by sensitive methods such as flow cytometry should be further developed.