Metabolomics Profiling for Obstructive Sleep Apnea and Simple Snorers.
Metabolomics Profiling for Obstructive Sleep Apnea and Simple Snorers.
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DOI：
10.1038/srep30958
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发表时间：
2016-08-02
影响因子：
4.6
通讯作者：
Jia W
中科院分区：
文献类型：
--
作者：
Xu H;Zheng X;Qian Y;Guan J;Yi H;Zou J;Wang Y;Meng L;Zhao A;Yin S;Jia W
很少有临床研究探讨阻塞性睡眠呼吸暂停（OSA）患者尿代谢物水平的改变。因此，我们应用代谢组学方法分析了三组参与者的尿液代谢物：多导睡眠图（PSG）证实的OSA患者，单纯打鼾者（SS）和正常受试者。采用超高效液相色谱-四极杆飞行时间质谱联用技术和气相色谱-飞行时间质谱联用技术。SS组和OSA组中分别有21种和31种代谢产物差异表达。OSA患者有18种代谢产物与SS患者不同。在3组中检测到的56种代谢物中，有24种始终高于或低于。受试者操作曲线分析显示，4-羟基戊烯酸、阿拉伯糖、甘氨鹅脱氧胆酸盐-3-硫酸盐、异亮氨酸、丝氨酸和黄嘌呤的组合产生了区分OSA与非OSA患者的敏感性（特异性）为75%（78%）的中等诊断评分。4-羟基戊烯酸、5-硫酸二氢睾酮、丝氨酸、精胺和黄嘌呤的组合以85%的灵敏度和80%的特异性区分OSA和SS。使用代谢组学方法鉴定了与SS和OSA相关的多种代谢物和代谢途径，并且改变的代谢物特征可能作为PSG的替代诊断方法。
Few clinical studies have explored altered urinary metabolite levels in patients with obstructive sleep apnea (OSA). Thus, we applied a metabolomics approach to analyze urinary metabolites in three groups of participants: patients with polysomnography (PSG)-confirmed OSA, simple snorers (SS), and normal subjects. Ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry and gas chromatography coupled with time-of-flight mass spectrometry were used. A total of 21 and 31 metabolites were differentially expressed in the SS and OSA groups, respectively. Patients with OSA had 18 metabolites different from those with SS. Of the 56 metabolites detected among the 3 groups, 24 were consistently higher or lower. A receiver operator curve analysis revealed that the combination of 4-hydroxypentenoic acid, arabinose, glycochenodeoxycholate-3-sulfate, isoleucine, serine, and xanthine produced a moderate diagnostic score with a sensitivity (specificity) of 75% (78%) for distinguishing OSA from those without OSA. The combination of 4-hydroxypentenoic acid, 5-dihydrotestosterone sulfate, serine, spermine, and xanthine distinguished OSA from SS with a sensitivity of 85% and specificity of 80%. Multiple metabolites and metabolic pathways associated with SS and OSA were identified using the metabolomics approach, and the altered metabolite signatures could potentially serve as an alternative diagnostic method to PSG.