代谢组学
鞘脂
生物
发病机制
生物标志物
肺炎支原体
代谢组
生物标志物发现
疾病
甘油磷脂
队列
诊断生物标志物
免疫学
计算生物学
生物信息学
医学
肺炎
生物化学
内科学
蛋白质组学
基因
磷脂
膜
作者
Jieqiong Li,Laurence Don Wai Luu,Xiaoxia Wang,Xiaodai Cui,Xiaolan Huang,Jin Fu,Xiong Zhu,Zhenjun Li,Yi Wang,Jun Tai
标识
DOI:10.1080/22221751.2022.2036582
摘要
Although previous studies have reported the use of metabolomics for infectious diseases, little is known about the potential function of plasma metabolites in children infected with Mycoplasma pneumoniae (MP). Here, a combination of liquid chromatography-quadrupole time-of-flight mass spectrometry and random forest-based classification model was used to provide a broader range of applications in MP diagnosis. In the training cohort, plasma from 63 MP pneumonia children (MPPs), 37 healthy controls (HC) and 29 infectious disease controls (IDC) was collected. After multivariate analyses, 357 metabolites were identified to be differentially expressed among MPP, HC and IDC groups, and 3 metabolites (568.5661, 459.3493 and 411.3208) had high diagnostic values. In an independent cohort with 57 blinded subjects, samples were successfully classified into different groups, demonstrating the reliability of these biomarkers for distinguishing MPPs from controls. A metabolomic signature analysis identified major classes of glycerophospholipids, sphingolipids and fatty acyls were increased in MPPs. These markedly altered metabolites are mainly involved in glycerophospholipid and sphingolipid metabolism. As the ubiquitous building blocks of eukaryotic cell membranes, dysregulated lipid metabolism indicates damage of the cellular membrane and the activation of immunity in MPPs. Moreover, lipid metabolites, differentially expressed between severe and mild MPPs, were correlated with the markers of extrapulmonary complications, suggesting that they may be involved in MPP disease severity. These findings may offer new insights into biomarker selection and the pathogenesis of MPP in children.
科研通智能强力驱动
Strongly Powered by AbleSci AI