Depts of Respiratory Medicine, Academic Medical Centre, University of Amsterdam, PO Box 22700, NL 1100 DE Amsterdam, The Netherlands.
Eur Respir J. 2011 Dec;38(6):1301-9. doi: 10.1183/09031936.00032911. Epub 2011 Jun 23.
Eosinophilic inflammation in chronic obstructive pulmonary disease (COPD) is predictive for responses to inhaled steroids. We hypothesised that the inflammatory subtype in mild and moderate COPD can be assessed by exhaled breath metabolomics. Exhaled compounds were analysed using gas chromatography and mass spectrometry (GC-MS) and electronic nose (eNose) in 28 COPD patients (12/16 Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage I/II, respectively). Differential cell counts, eosinophil cationic protein (ECP) and myeloperoxidase (MPO) were measured in induced sputum. Relationships between exhaled compounds, eNose breathprints and sputum inflammatory markers were analysed and receiver operating characteristic (ROC) curves were constructed. Exhaled compounds were highly associated with sputum cell counts (eight compounds with eosinophils, 17 with neutrophils; p < 0.01). Only one compound (alkylated benzene) overlapped between eosinophilic and neutrophilic profiles. GC-MS and eNose breathprints were associated with markers of inflammatory activity in GOLD stage I (ECP: 19 compounds, p < 0.01; eNose breathprint r = 0.84, p = 0.002) (MPO: four compounds, p < 0.01; eNose r = 0.72, p = 0.008). ROC analysis for eNose showed high sensitivity and specificity for inflammatory activity in mild COPD (ECP: area under the curve (AUC) 1.00; MPO: AUC 0.96) but not for moderate COPD. Exhaled molecular profiles are closely associated with the type of inflammatory cell and their activation status in mild and moderate COPD. This suggests that breath analysis may be used for assessment and monitoring of airway inflammation in COPD.
慢性阻塞性肺疾病(COPD)中的嗜酸性粒细胞炎症与吸入性类固醇的反应相关。我们假设,轻度和中度 COPD 的炎症亚型可以通过呼气代谢组学进行评估。在 28 名 COPD 患者(分别为 12/16 个全球慢性阻塞性肺疾病倡议(GOLD)I/II 期)中,使用气相色谱和质谱(GC-MS)和电子鼻(eNose)分析呼气化合物。在诱导痰中测量差异细胞计数、嗜酸性粒细胞阳离子蛋白(ECP)和髓过氧化物酶(MPO)。分析呼气化合物、eNose 呼吸印迹与痰炎症标志物之间的关系,并构建受试者工作特征(ROC)曲线。呼气化合物与痰细胞计数高度相关(八种化合物与嗜酸性粒细胞相关,17 种与中性粒细胞相关;p < 0.01)。嗜酸性粒细胞和中性粒细胞图谱之间仅有一种化合物(烷基苯)重叠。GC-MS 和 eNose 呼吸印迹与 GOLD 阶段 I 的炎症活动标志物相关(ECP:19 种化合物,p < 0.01;eNose 呼吸印迹 r = 0.84,p = 0.002)(MPO:四种化合物,p < 0.01;eNose r = 0.72,p = 0.008)。eNose 的 ROC 分析显示,在轻度 COPD 中,炎症活动具有高灵敏度和特异性(AUC 1.00;MPO:AUC 0.96),但在中度 COPD 中则不然。轻度和中度 COPD 中,呼气分子谱与炎症细胞类型及其激活状态密切相关。这表明呼吸分析可用于 COPD 气道炎症的评估和监测。