Esther Charles R, Coakley Raymond D, Henderson Ashley G, Zhou Yi-Hui, Wright Fred A, Boucher Richard C
Division of Pediatric Pulmonology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Cystic Fibrosis and Pulmonary Research and Treatment Center, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Chest. 2015 Aug;148(2):507-515. doi: 10.1378/chest.14-1800.
Metabolomic evaluation of cystic fibrosis (CF) airway secretions could identify metabolites and metabolic pathways involved in neutrophilic airway inflammation that could serve as biomarkers and therapeutic targets.
Mass spectrometry (MS)-based metabolomics was performed on a discovery set of BAL fluid samples from 25 children with CF, and targeted MS methods were used to identify and quantify metabolites related to neutrophilic inflammation. A biomarker panel of these metabolites was then compared with neutrophil counts and clinical markers in independent validation sets of lavage from children with CF and adults with COPD compared with control subjects.
Of the 7,791 individual peaks detected by positive-mode MS metabolomics discovery profiling, 338 were associated with neutrophilic inflammation. Targeted MS determined that many of these peaks were generated by metabolites from pathways related to the metabolism of purines, polyamines, proteins, and nicotinamide. Analysis of the independent validation sets verified that, in subjects with CF or COPD, several metabolites, particularly those from purine metabolism and protein catabolism pathways, were strongly correlated with neutrophil counts and were related to clinical markers, including airway infection and lung function.
MS metabolomics identified multiple metabolic pathways associated with neutrophilic airway inflammation. These findings provide insight into disease pathophysiology and can serve as the basis for developing disease biomarkers and therapeutic interventions for airways diseases.
对囊性纤维化(CF)气道分泌物进行代谢组学评估,可识别参与嗜中性气道炎症的代谢物和代谢途径,这些代谢物和代谢途径可作为生物标志物和治疗靶点。
对来自25名CF患儿的支气管肺泡灌洗(BAL)液样本发现集进行基于质谱(MS)的代谢组学分析,并使用靶向MS方法鉴定和定量与嗜中性炎症相关的代谢物。然后将这些代谢物的生物标志物组与CF患儿和慢性阻塞性肺疾病(COPD)成人患者的独立灌洗验证集(与对照受试者相比)中的中性粒细胞计数和临床标志物进行比较。
在正模式MS代谢组学发现分析中检测到的7791个单个峰中,338个与嗜中性炎症相关。靶向MS确定这些峰中的许多是由与嘌呤、多胺、蛋白质和烟酰胺代谢相关途径的代谢物产生的。对独立验证集的分析证实,在CF或COPD患者中,几种代谢物,特别是来自嘌呤代谢和蛋白质分解代谢途径的代谢物,与中性粒细胞计数密切相关,并与包括气道感染和肺功能在内的临床标志物相关。
MS代谢组学鉴定出与嗜中性气道炎症相关的多种代谢途径。这些发现为疾病病理生理学提供了见解,并可作为开发气道疾病生物标志物和治疗干预措施的基础。