新疆地区阻塞性睡眠呼吸暂停患者尿液代谢组学特征分析

Analysis of Urinary metabolite signatures of patients with obstructive sleep apnea in Xinjiang

摘要:

目的 基于尿液代谢组学探索阻塞性睡眠呼吸暂停低通气综合征(OSA)的差异代谢产物,预测病因提供参考潜在生物标志物。方法 选取42例OSA患者作为OSA组;另选取40名健康志愿者作为对照(非OSA)组,收集两组人群的尿液标本,通过应用气相色谱-质谱联用技术 (GC-MS) 来进行非靶向代谢组学分析,筛选出差异代谢产物及其主要涉及的代谢途径。结果 通过质谱分析与筛选,鉴定22种差异性代谢产物,以及这些差异代谢物主要涉及的9种代谢途径。结论 通过尿液代谢组学分析获得的差异代谢物和代谢途径有助于更好地了解OSA的代谢特征,可望作为预测诊断OSA的潜在尿液生物标志物。

Abstract:

Objective To explore the differential metabolites of obstructive sleep apnea-hypopnea syndrome (OSA) based on urine metabolomics and provide reference potential biomarkers for predicting the cause. Methods 42 OSA patients were selected as the OSA group; another 40 healthy volunteers were selected as the control (non-OSA) group. Urine samples from the two groups were collected and analyzed by gas chromatography-mass spectrometry (GC-MS). Untargeted metabolomic analysis was performed to screen out differential metabolites and their main metabolic pathways.Results Through mass spectrometry analysis and screening, 22 significantly altered metabolites were identified, and 9 metabolic pathways mainly involved in these differential metabolites of interest. Conclusion The differential metabolites and metabolic athways obtained through urine metabolomic analysis can help to better understand the metabolic characteristics of OSA and can be used as potential urinary biomarkers for the prediction and diagnosis of OSA.