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Differential human urinary lipid profiles using various lipid-extraction protocols: MALDI-TOF and LIFT-TOF/TOF analyses

机译:使用各种脂质提取方案区分人尿脂质谱:MALDI-TOF和LIFT-TOF / TOF分析

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摘要

Changes in lipid levels/profiles can reflect health status and diseases. Urinary lipidomics, thus, has a great potential in clinical diagnostics/prognostics. Previously, only chloroform and methanol were used for extracting lipids from the urine. The present study aimed to optimize lipid extraction and examine differential lipid classes obtained by various extraction protocols. Urine samples were collected from eight healthy individuals and then pooled. Lipids were extracted by six solvent protocols, including (i) chloroform/methanol (1:1, v/v), (ii) chloroform/methanol (2:1, v/v), (iii) hexane/isopropanol (3:2, v/v), (iv) chloroform, (v) diethyl ether, and (vi) hexane. Lipid profiles of the six extracts were acquired by MALDI-TOF mass spectrometry (MS) and some lipid classes were verified by LIFT-TOF/TOF MS/MS. The data revealed that phosphatidylglycerol (PG) and phosphatidylinositol (PI) could be detected by all six protocols. However, phosphatidylcholine (PC) and sphingomyelin (SM) were detectable only by protocols (i)–(iv), whereas phosphatidylserine (PS) was detectable only by protocols (iii)–(vi), and phosphatidylethanolamine (PE) was detectable only by protocols (v)–(vi). In summary, we have demonstrated differential lipidome profiles yielded by different extraction protocols. These data can serve as an important source for selection of an appropriate extraction method for further highly focused studies on particular lipid classes in the human urine.
机译:脂质水平/特征的变化可以反映健康状况和疾病。因此,尿脂质组学在临床诊断/预后方面具有巨大潜力。以前,仅使用氯仿和甲醇从尿液中提取脂质。本研究旨在优化脂质提取并检查通过各种提取方案获得的不同脂质类别。从八个健康个体收集尿液样本,然后合并。通过六种溶剂方案提取脂质,包括(i)氯仿/甲醇(1:1,v / v),(ii)氯仿/甲醇(2:1,v / v),(iii)己烷/异丙醇(3: 2,v / v),(iv)氯仿,(v)乙醚和(vi)己烷。通过MALDI-TOF质谱(MS)获得了六种提取物的脂质谱,并通过LIFT-TOF / TOF MS / MS验证了一些脂质类别。数据显示,所有六种方案均可检测到磷脂酰甘油(PG)和磷脂酰肌醇(PI)。但是,仅通过方案(i)-(iv)可检测到磷脂酰胆碱(PC)和鞘磷脂(SM),而仅通过方案(iii)-(vi)可检测到磷脂酰丝氨酸(PS),而仅可检测到磷脂酰乙醇胺(PE)通过协议(v)-(vi)。总之,我们已经证明了通过不同提取方案产生的不同脂质组图谱。这些数据可作为选择合适的提取方法的重要来源,以进一步针对人类尿液中的特定脂质类别进行高度集中的研究。

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