Asthma is a multifaceted chronic disease caused by an alteration of various genetic and environmental factors that is increasing in incidence worldwide. However, the biochemical mechanisms regarding asthma are not completely understood. Thus, we performed of metabolomic study for understanding of the biochemical events by monitoring of altered metabolism and biomarkers in asthma. In mice plasma, 27 amino acids(AAs), 24 fatty acids(FAs) and 17 organic acids(OAs) were determined by ethoxycarbonyl(EOC)/methoxime(MO)/tert-butyldimethylsilyl(TBDMS) derivatives with GC–MS. Their percentage composition normalized to the corresponding mean levels of control group. They then plotted as star symbol patterns for visual monitoring of altered metabolism, which were characteristic and readily distinguishable in control and asthma groups. The Mann-Whitney test revealed 25 metabolites, including eight AAs, nine FAs and eight OAs, which were significantly different (p < 0.05), and orthogonal partial least-squares-discriminant analysis revealed a clear separation of the two groups. In classification analysis, palmitic acid and methionine were the main metabolites for discrimination between asthma and the control followed by pipecolic, lactic, α-ketoglutaric, and linoleic acids for high classification accuracy as potential biomarkers. These explain the metabolic disturbance in asthma for AAs and FAs including intermediate OAs related to the energy metabolism in the TCA cycle.

哮喘是一种多方面的慢性疾病，是由各种遗传和环境因素的变化引起的，而这种变化在全世界范围内都在增加。但是，关于哮喘的生化机制尚未完全了解。因此，我们进行了代谢组学研究，以通过监测哮喘中新陈代谢和生物标志物的变化来了解生化事件。在小鼠血浆，27个氨基酸（AAS），24脂肪酸（FAS）和17种有机酸（OAS）通过乙氧羰基（EOC）/甲肟（MO）/测定叔丁基丁基二甲基甲硅烷基（TBDMS）衍生物与GC-MS。它们的百分比组成归一化为对照组的相应平均水平。然后将它们绘制为星形符号模式，以视觉监控新陈代谢的变化，这些变化在对照组和哮喘组中是特征性的且易于区分。曼-惠特尼检验显示25种代谢物，包括8种AA，9种FA和8种OA，它们具有显着差异（p <0.05），并且正交偏最小二乘判别分析表明两组之间有明显的分离。在分类分析中，棕榈酸和蛋氨酸是区分哮喘和对照的主要代谢物，其次是胡椒酸，乳酸，α-酮戊二酸和亚油酸，因为它们具有潜在的生物标记物，因此具有较高的分类精度。