Lipidomics is of increasing interest in studies of biological systems. However, high-throughput data collection and processing remains non-trivial, making assessment of phenotypes difficult. We describe a platform for surveying the lipid fraction for a range of tissues. These techniques are demonstrated on a set of seven different tissues (serum, brain, heart, kidney, adipose, liver, and vastus lateralis muscle) from post-weaning mouse dams that were either obese (> 12 g fat mass) or lean (<5 g fat mass). This showed that the lipid metabolism in some tissues is affected more by obesity than others. Analysis of human serum (healthy non-pregnant women and pregnant women at 28 weeks' gestation) showed that the abundance of several phospholipids differed between groups. Human placenta from mothers with high and low BMI showed that lean placentae contain less polyunsaturated lipid. This platform offers a way to map lipid metabolism with immediate application in metabolic research and elsewhere. Graphical abstract.

中文翻译：

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一个高通量平台，用于对一系列小鼠和人体组织进行详细的脂质组学分析。

脂质组学在生物系统研究中越来越受到关注。然而，高通量数据的收集和处理仍然很重要，这使得表型评估变得困难。我们描述了一个用于测量一系列组织的脂质部分的平台。这些技术在来自断奶后肥胖（> 12 g 脂肪量）或瘦（< 5 克脂肪量）。这表明某些组织中的脂质代谢比其他组织更容易受到肥胖的影响。对人血清（健康的非孕妇和妊娠 28 周的孕妇）的分析表明，几种磷脂的丰度在各组之间存在差异。来自高 BMI 和低 BMI 母亲的人胎盘表明，瘦胎盘含有较少的多不饱和脂质。该平台提供了一种绘制脂质代谢图的方法，可立即应用于代谢研究和其他领域。图形概要。