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Quantitative and Wide-Ranging Profiling of Phospholipids in Human Plasma by Two-dimensional Liquid Chromatography/Mass Spectrometry

机译:二维液相色谱/质谱法定量分析人血浆中的磷脂

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Normal-phase or reverse-phase liquid chromatography has been used in phospholipidomics for lipid separation prior to mass spectrometry analysis. However, separation using a single separation mode is often inadequate, as high-abundance phospholipids can mask large numbers of low-abundance lipids of interest In order to detect and quantify low-abundance phospholipids, we present a novel two-dimensional (2D) approach for sensitive and quantitative global analysis of phospholipids. The methodology monitors individual glycerolipids and phospholipids through the use of a new quantitative normal-phase, solid-phase extraction procedure, followed by molecular characterization and relative quantification using an ion-trap Orbitrap equipped with a reverse-phase liquid chromatograph, with data processing by MS++ software. The CV (percent) of the peak area of each lipid standard was less than 15percent with this extraction method. When the method was applied to a liver sample, we could detect more phosphatidylserine (PS) compared to the previous method. Finally, our developed method was applied to Alzheimer's disease (AD) plasma samples. Several hundred peaks were detected from a 60 (mu)L plasma sample. A partialleast-squares discriminant analysis (PLS-DA) plot using peak area ratio gave a unique group of PLS scores which could distinguish plasma samples of Alzheimer's disease (AD) patients from those of age-matched healthy controls.
机译:在质谱分析之前,正相或反相液相色谱已用于磷脂组学中的脂质分离。但是,使用单一分离模式进行分离通常是不够的,因为高丰度的磷脂可以掩盖大量低丰度的目的脂质。为了检测和定量低丰度的磷脂,我们提出了一种新颖的二维(2D)方法用于对磷脂进行灵敏和定量的全局分析。该方法通过使用新的定量正相,固相萃取程序监测单个的甘油脂和磷脂,随后使用配备了反相液相色谱仪的离子阱Orbitrap进行分子表征和相对定量,并通过数据处理MS ++软件。用这种萃取方法,每个脂质标准品的峰面积的CV(百分比)小于15%。当该方法应用于肝脏样品时,与以前的方法相比,我们可以检测到更多的磷脂酰丝氨酸(PS)。最后,我们开发的方法应用于阿尔茨海默氏病(AD)血浆样品。从60μL血浆样品中检测到数百个峰。使用峰面积比的偏最小二乘判别分析(PLS-DA)图给出了一组独特的PLS评分,可以区分阿尔茨海默氏病(AD)患者的血浆样品与年龄匹配的健康对照者。

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