NIHR Biomedical Research Centre, Respiratory Theme and Department of Infection, Immunity and Inflammation, University of Leicester, United Kingdom.
J Breath Res. 2018 Sep 14;12(4):046012. doi: 10.1088/1752-7163/aad9d1.
Asthma is often characterised by inflammation, damage and dysfunction of the small airways, but no standardised biomarkers are available.
Using a novel approach-particles in exhaled air (PExA)-we sought to (a) sample and analyse abundant protein biomarkers: surfactant protein A (SPA) and albumin in adult asthmatic and healthy patients and (b) relate protein concentrations with physiological markers using phenotyping.
83 adult asthmatics and 21 healthy volunteers were recruited from a discovery cohort in Leicester, UK, and 32 adult asthmatics as replication cohort from Sweden. Markers of airways closure/small airways dysfunction were evaluated using forced vital capacity, impulse oscillometry and multiple breath washout. SPA/albumin from PEx (PExA sample) were analysed using ELISA and corrected for acquired particle mass. Topological data analysis (TDA) was applied to small airway physiology and PExA protein data to identify phenotypes.
PExA manoeuvres were feasible, including severe asthmatic subjects. TDA identified a clinically important phenotype of asthmatic patients with multiple physiological markers of peripheral airway dysfunction, and significantly lower levels of both SPA and albumin.
We report that the PExA method is feasible across the spectrum of asthma severity and could be used to identify small airway disease phenotypes.
哮喘的特征通常是小气道的炎症、损伤和功能障碍,但目前尚无标准化的生物标志物。
我们采用一种新方法——呼出气颗粒(PExA)——来(a)采样并分析丰富的蛋白质生物标志物:表面活性蛋白 A(SPA)和白蛋白,在成年哮喘患者和健康患者中;(b)使用表型分析将蛋白浓度与生理标志物相关联。
从英国莱斯特的一个发现队列中招募了 83 名成年哮喘患者和 21 名健康志愿者,以及来自瑞典的 32 名成年哮喘患者作为复制队列。使用用力肺活量、脉冲震荡和多次呼吸冲洗来评估气道关闭/小气道功能障碍的标志物。使用 ELISA 分析 PEx 中的 SPA/白蛋白(PExA 样本),并校正获得的颗粒质量。拓扑数据分析(TDA)应用于小气道生理学和 PExA 蛋白数据,以确定表型。
PExA 操作是可行的,包括严重哮喘患者。TDA 确定了一种具有多种外周气道功能障碍生理标志物的临床重要哮喘患者表型,并且 SPA 和白蛋白水平显著降低。
我们报告称,PExA 方法在哮喘严重程度范围内是可行的,可用于识别小气道疾病表型。