Halper-Stromberg Eitan, Gillenwater Lucas, Cruickshank-Quinn Charmion, O'Neal Wanda Kay, Reisdorph Nichole, Petrache Irina, Zhuang Yonghua, Labaki Wassim W, Curtis Jeffrey L, Wells James, Rennard Stephen, Pratte Katherine A, Woodruff Prescott, Stringer Kathleen A, Kechris Katerina, Bowler Russell P
School of Medicine, University of Colorado, Aurora, CO 80045, USA.
Pathology Department, Johns Hopkins University, Baltimore, MD 21287, USA.
Metabolites. 2019 Jul 25;9(8):157. doi: 10.3390/metabo9080157.
Smoking causes chronic obstructive pulmonary disease (COPD). Though recent studies identified a COPD metabolomic signature in blood, no large studies examine the metabolome in bronchoalveolar lavage (BAL) fluid, a more direct representation of lung cell metabolism. We performed untargeted liquid chromatography-mass spectrometry (LC-MS) on BAL and matched plasma from 115 subjects from the SPIROMICS cohort. Regression was performed with COPD phenotypes as the outcome and metabolites as the predictor, adjusted for clinical covariates and false discovery rate. Weighted gene co-expression network analysis (WGCNA) grouped metabolites into modules which were then associated with phenotypes. K-means clustering grouped similar subjects. We detected 7939 and 10,561 compounds in BAL and paired plasma samples, respectively. FEV/FVC (Forced Expiratory Volume in One Second/Forced Vital Capacity) ratio, emphysema, FEV % predicted, and COPD exacerbations associated with 1230, 792, eight, and one BAL compounds, respectively. Only two plasma compounds associated with a COPD phenotype (emphysema). Three BAL co-expression modules associated with FEV/FVC and emphysema. K-means BAL metabolomic signature clustering identified two groups, one with more airway obstruction (34% of subjects, median FEV/FVC 0.67), one with less (66% of subjects, median FEV/FVC 0.77; < 2 × 10). Associations between metabolites and COPD phenotypes are more robustly represented in BAL compared to plasma.
吸烟会导致慢性阻塞性肺疾病(COPD)。尽管最近的研究在血液中发现了COPD的代谢组学特征,但尚无大型研究对支气管肺泡灌洗(BAL)液中的代谢组进行检测,而BAL液能更直接地反映肺细胞代谢情况。我们对SPIROMICS队列中115名受试者的BAL液和配对血浆进行了非靶向液相色谱 - 质谱(LC - MS)分析。以COPD表型为结果、代谢物为预测指标进行回归分析,并对临床协变量和错误发现率进行了校正。加权基因共表达网络分析(WGCNA)将代谢物分组为模块,然后将这些模块与表型相关联。K均值聚类将相似的受试者归为一组。我们在BAL液和配对血浆样本中分别检测到7939种和10561种化合物。一秒用力呼气量/用力肺活量(FEV/FVC)比值、肺气肿、预测的FEV百分比以及COPD急性加重分别与1230种、792种、8种和1种BAL化合物相关。只有两种血浆化合物与COPD表型(肺气肿)相关。三个BAL共表达模块与FEV/FVC和肺气肿相关。K均值BAL代谢组学特征聚类确定了两组,一组气道阻塞更严重(占受试者的34%,FEV/FVC中位数为0.67),另一组较轻(占受试者的66%,FEV/FVC中位数为0.77;<2×10)。与血浆相比,代谢物与COPD表型之间的关联在BAL液中表现得更为显著。