Cross-Platform Comparison of Untargeted and Targeted Lipidomics Approaches on Aging Mouse Plasma
Cross-Platform Comparison of Untargeted and Targeted Lipidomics Approaches on Aging Mouse Plasma
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DOI：
10.1038/s41598-018-35807-4
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发表时间：
2018-12-10
影响因子：
4.6
通讯作者：
Snyder, Michael
中科院分区：
文献类型：
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作者：
Contrepois, Kevin;Mahmoudi, Salah;Snyder, Michael
脂质组学-脂质的整体评估-可以使用各种基于质谱（MS）的方法进行。然而，在脂质覆盖率、鲁棒性和通量方面选择最佳方法可能是一项具有挑战性的任务。在这里，我们比较了一种新的靶向定量脂质组学平台，称为Lipidyzer，以传统的非靶向液相色谱（LC）-MS方法。我们发现，这两个平台都能有效地分析小鼠血浆中11种脂质类别的300多种脂质，对于大多数脂质，精确度和准确度低于20%。虽然非靶向平台和靶向平台检测到相似数量的脂质，但前者鉴定了更广泛的脂质类别，并且可以明确地鉴定三酰甘油（TAG）中的所有三种脂肪酸。从这两种方法的定量测量表现出的中值相关系数（r）为0.99，使用稀释系列的氘代内标物和0.71，使用内源性血浆脂质在老化的背景下。将两种平台应用于来自老龄小鼠的血浆揭示了所有主要脂质类别和特定脂质种类中总脂质水平的相似变化。有趣的是，TAG是随着年龄变化最大的脂质类，这表明TAG代谢对小鼠的衰老过程特别敏感。总的来说，我们的数据表明，Lipidyzer平台以简单且自动化的方式提供了血浆中最常见脂质的全面分析。
Lipidomics - the global assessment of lipids - can be performed using a variety of mass spectrometry (MS)-based approaches. However, choosing the optimal approach in terms of lipid coverage, robustness and throughput can be a challenging task. Here, we compare a novel targeted quantitative lipidomics platform known as the Lipidyzer to a conventional untargeted liquid chromatography (LC)-MS approach. We find that both platforms are efficient in profiling more than 300 lipids across 11 lipid classes in mouse plasma with precision and accuracy below 20% for most lipids. While the untargeted and targeted platforms detect similar numbers of lipids, the former identifies a broader range of lipid classes and can unambiguously identify all three fatty acids in triacylglycerols (TAG). Quantitative measurements from both approaches exhibit a median correlation coefficient (r) of 0.99 using a dilution series of deuterated internal standards and 0.71 using endogenous plasma lipids in the context of aging. Application of both platforms to plasma from aging mouse reveals similar changes in total lipid levels across all major lipid classes and in specific lipid species. Interestingly, TAG is the lipid class that exhibits the most changes with age, suggesting that TAG metabolism is particularly sensitive to the aging process in mice. Collectively, our data show that the Lipidyzer platform provides comprehensive profiling of the most prevalent lipids in plasma in a simple and automated manner.