School of Medicine and Medical Research Center, Xiamen Chang Gung Hospital Hua Qiao University, Fujian, China; Drug Hypersensitivity Clinical and Research Center, Department of Dermatology, Chang Gung Memorial Hospital, Taoyuan, Linkou, Taiwan.
School of Medicine and Medical Research Center, Xiamen Chang Gung Hospital Hua Qiao University, Fujian, China.
Clin Chim Acta. 2025 Jan 15;565:120010. doi: 10.1016/j.cca.2024.120010. Epub 2024 Oct 19.
Plasma and extracellular vesicles (EVs) derived from plasma are important sources of information regarding individual health. Metabolomic analysis of plasma and EVs may provide new methods for predicting disease occurrence. This study aims to analyze the metabolomic characteristics of plasma and plasma EVs in asthma patients.
Plasma samples were collected from healthy individuals and asthma patients. EVs were isolated from the plasma using ultracentrifugation. The isolated EVs were characterized by nanoparticle tracking analysis and flow cytometry. Metabolomic analysis was performed using a liquid chromatography-mass spectrometry platform.
This study successfully extracted EVs from plasma samples. Metabolomic analysis revealed that the composition of differential metabolites in the plasma and EVs of asthma patients was similar. KEGG pathway analysis indicated that the number of upregulated metabolic pathways enriched with differential metabolites in the plasma EVs of asthma patients was significantly greater than that in the plasma samples. Pathways associated with the onset of asthma included asthma, systemic lupus erythematosus, glycerophospholipid metabolism, and autophagy - other, primarily involving the following five metabolites: PS(18:1(9Z)/18:2(9Z,12Z)), PC(18:1(9Z)e/2:0), PS(24:1(15Z)/22:2(13Z,16Z)), PE(22:4(7Z,10Z,13Z,16Z)/22:5(4Z,7Z,10Z,13Z,16Z)), and PE(16:0/20:3(8Z,11Z,14Z)). Receiver operating characteristic analysis results suggested that these five differential metabolites may serve as potential biomarkers for asthma.
We identified the metabolic characteristics of plasma and EVs in asthma patients, confirming that the metabolites in plasma EVs may serve as potential biomarkers for asthma. This finding not only enhances our understanding of the pathogenesis of asthma but also opens new avenues for targeted therapy.
源自血浆的血浆和细胞外囊泡（EVs）是个体健康相关信息的重要来源。对血浆和 EVs 的代谢组学分析可能为预测疾病发生提供新方法。本研究旨在分析哮喘患者血浆和 EVs 的代谢组学特征。
收集健康个体和哮喘患者的血浆样本。使用超速离心法从血浆中分离 EVs。通过纳米颗粒跟踪分析和流式细胞术对分离的 EVs 进行表征。使用液相色谱-质谱平台进行代谢组学分析。
本研究成功从血浆样本中提取 EVs。代谢组学分析表明，哮喘患者血浆和 EVs 中差异代谢物的组成相似。KEGG 通路分析表明，哮喘患者血浆 EVs 中差异代谢物富集的上调代谢途径数量明显多于血浆样本。与哮喘发病相关的途径包括哮喘、系统性红斑狼疮、甘油磷脂代谢和自噬-其他，主要涉及以下五种代谢物：PS(18:1(9Z)/18:2(9Z,12Z))、PC(18:1(9Z)e/2:0)、PS(24:1(15Z)/22:2(13Z,16Z))、PE(22:4(7Z,10Z,13Z,16Z)/22:5(4Z,7Z,10Z,13Z,16Z))和 PE(16:0/20:3(8Z,11Z,14Z))。受试者工作特征分析结果表明，这五种差异代谢物可能作为哮喘的潜在生物标志物。
我们确定了哮喘患者血浆和 EVs 的代谢特征，证实了血浆 EVs 中的代谢物可能作为哮喘的潜在生物标志物。这一发现不仅增强了我们对哮喘发病机制的理解，也为靶向治疗开辟了新途径。
