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基于血浆分离卡的全面脂质组学分析。

Comprehensive lipidomic profiling by plasma separation cards.

机构信息

Department of Chemistry, University of California Davis, Davis, CA, USA.

West Coast Metabolomics Center, University of California Davis, Davis, CA, USA.

出版信息

Anal Bioanal Chem. 2023 Jan;415(1):193-201. doi: 10.1007/s00216-022-04399-4. Epub 2022 Nov 1.

Abstract

Large-scale lipidomic analyses have been limited by the cost and accessibility of traditional venipuncture sampling. Microsampling techniques offer a less-invasive and more accessible alternative. From a single drop of blood, plasma separation cards (PSC) deliver two volumetric dried plasma samples which are studied here for profiling endogenous blood lipids. Six lots of EDTA-treated human whole blood were used to compare PSC, dried blood spot analyses (DBS), and classic wet plasma extractions. Six replicate extractions were performed for each lot. Nontargeted lipidomics was performed by liquid chromatography-high resolution tandem mass spectrometry. Lipids were annotated by accurate mass/retention time matching and MS/MS spectral library matching using peak intensities for quantitation. Four hundred ninety-eight compounds covering 24 lipid subclasses were annotated. Inter-lot repeatability was evaluated by the percent relative standard deviation (%RSD) for each lot, giving median %RSD values across the lots at 14.6% for PSC, 9.3% for DBS, and 8.6% for wet plasma. Strong correlations of lipid peak intensities between wet plasma and PSCs were observed, but less for DBS. Lipid recovery and stability were comparable between the PSC and DBS samples, with roughly 60% of annotated lipids stable at room temperature after 28 days. Overall, PSCs provide a better alternative for quantitative blood lipidomic analyses compared to dried blood spots. However, problems with lipid stability for samples handled and shipped at room temperature are currently unavoidable outside of a clinical setting. Data transferability and comparability to standard plasma is lipid and lipid class dependent.

摘要

大规模的脂质组学分析受到传统静脉穿刺采样成本和可及性的限制。微采样技术提供了一种侵入性更小、更易获取的替代方法。从一滴血中,血浆分离卡(PSC)可提供两个体积的干燥血浆样本,本文研究了这些样本以分析内源性血液脂质。使用六份 EDTA 处理的人全血来比较 PSC、干血斑分析(DBS)和经典的湿血浆提取。每个批次进行了六次重复提取。通过液相色谱-高分辨串联质谱进行非靶向脂质组学分析。通过精确质量/保留时间匹配和使用峰强度进行定量的 MS/MS 光谱库匹配对脂质进行注释。注释了 498 种化合物,涵盖 24 种脂质亚类。通过每个批次的相对标准偏差(%RSD)评估批间重复性,给出了批间的中位数%RSD 值,PSC 为 14.6%,DBS 为 9.3%,湿血浆为 8.6%。观察到湿血浆和 PSC 之间脂质峰强度的强相关性,但 DBS 的相关性较弱。PSC 和 DBS 样本的脂质回收率和稳定性相当,大约 60%的注释脂质在 28 天后在室温下稳定。总体而言,与干血斑相比,PSC 为定量血液脂质组学分析提供了更好的选择。然而,在临床环境之外,目前仍不可避免地存在室温下处理和运输样本时的脂质稳定性问题。数据可转移性和与标准血浆的可比性取决于脂质和脂质类。

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