Lin Shihui, Yue Xi, Wu Hua, Han Ting-Li, Zhu Jing, Wang Chuanjiang, Lei Ming, Zhang Mu, Liu Qiong, Xu Fang
The Chongqing Key Laboratory of Translation Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Departmen of Emergency and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, China.
Departmen of Emergency and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, China.
Clin Biochem. 2019 Apr;66:49-56. doi: 10.1016/j.clinbiochem.2019.02.009. Epub 2019 Feb 16.
The aim of this study was to analyse the metabolomics of patients with acute respiratory distress syndrome (ARDS) for the identification of metabolic markers with potential diagnostic and prognostic value.
The enrolled subjects included adult patients with ARDS that met the Berlin definition and healthy controls matched based on age, gender, and body mass index (BMI). Plasma samples were collected from 37 patients with ARDS and 28 healthy controls. The plasma metabolites were detected with gas chromatography-mass spectrometry (GC-MS), and the relevant metabolic pathways were predicted using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database.
A total of 222 metabolites were identified in our study, of which 128 were significantly altered in patients with ARDS compared with healthy controls. Phenylalanine, aspartic acid, and carbamic acid levels were significantly different between all groups of patients with ARDS classified from mild to severe. Furthermore, four metabolites, ornithine, caprylic acid, azetidine, and iminodiacetic acid, could serve as biomarkers to potentially predict the severity of ARDS. We discovered 92 pathways that were significantly different between ARDS and control groups, including 57 pathways linked to metabolism.
Plasma metabolomics may improve our understanding of ARDS biology. Specific products related to hypoxia may serve as early biomarkers for ARDS prediction, while the metabolites with significant correlations with partial pressure of arterial oxygen (PaO)/percentage of inspired oxygen (FiO) may play a role in determining ARDS severity. This study suggests that metabolomic analysis in patients at risk of ARDS or those with early ARDS may provide new insight into disease pathogenesis or prognosis.
本研究旨在分析急性呼吸窘迫综合征（ARDS）患者的代谢组学，以鉴定具有潜在诊断和预后价值的代谢标志物。
纳入的受试者包括符合柏林定义的成年ARDS患者以及根据年龄、性别和体重指数（BMI）匹配的健康对照。从37例ARDS患者和28例健康对照中采集血浆样本。采用气相色谱-质谱联用（GC-MS）检测血浆代谢物，并使用京都基因与基因组百科全书（KEGG）数据库预测相关代谢途径。
本研究共鉴定出222种代谢物，其中128种在ARDS患者中与健康对照相比有显著变化。从轻度到重度分类的所有ARDS患者组中，苯丙氨酸、天冬氨酸和氨基甲酸水平存在显著差异。此外，四种代谢物，鸟氨酸、辛酸、氮杂环丁烷和亚氨基二乙酸，可作为潜在预测ARDS严重程度的生物标志物。我们发现ARDS组和对照组之间有92条途径存在显著差异，其中57条途径与代谢相关。
血浆代谢组学可能会增进我们对ARDS生物学的理解。与缺氧相关的特定产物可能作为预测ARDS的早期生物标志物，而与动脉血氧分压（PaO）/吸入氧分数（FiO）显著相关的代谢物可能在确定ARDS严重程度中起作用。本研究表明，对有ARDS风险的患者或早期ARDS患者进行代谢组学分析可能为疾病发病机制或预后提供新的见解。
