LC-MS Lipidomic Analysis of Macrophages

Kateřina Pražáková, Vladimír Vrkoslav, Štěpán Strnad, B. Muffová, S. Kauerova, Jiří Froněk, I. Králová Lesná, Rudolf Poledne, David Sýkora
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Abstract

Currently, an increasing incidence of cardiovascular diseases is observed in the population. Factors contributing to their development are obesity and pro-inflammatory processes occurring in the adipose tissue. Macrophages, cells of the non-specific immune system, which can be divided into pro-inflammatory and anti-inflammatory, play a significant role in these processes. For a better understanding of these phenomena, it is necessary to analyze the lipidome of macrophages of the two mentioned groups. The presented work was focused on the optimization of selected parameters of the LC-MS method for the analysis of 71 lipids from 16 lipid classes. Best results were achieved with column Acquity UPLC BEH C18 (1.7 µm, 2.1 mm × 100 mm) operating at the flow rate of 300 μL min–1 and temperature of 55 °C. The optimal desolvation temperature was 350 °C and the gradient elution started at 0 % of solvent B in the mobile phase. Retention dependencies were characterized for individual lipid classes. They were successfully fitted with a linear model (R2 > 0.99) and subsequently used to confirm the accuracy of lipid identification. The optimized LC-MS method was also used to analyze the real samples of macrophages isolated from the adipose tissue of kidney donors. Samples were provided by Institute for Clinical and Experimental Medicine. The principal component analysis gave insight into the division of macrophages according to their type. The volcano plot showed a significant increase in the concentration of five lipids in the case of pro-inflammatory macrophages.
巨噬细胞的 LC-MS 脂质体分析
目前,心血管疾病在人群中的发病率越来越高。导致这些疾病发生的因素是肥胖和脂肪组织中的促炎过程。巨噬细胞是非特异性免疫系统的细胞,可分为促炎性和抗炎性两种,在这些过程中发挥着重要作用。为了更好地理解这些现象,有必要对上述两类巨噬细胞的脂质体进行分析。本研究的重点是优化 LC-MS 方法的选定参数,以分析 16 类脂质中的 71 种脂质。采用 Acquity UPLC BEH C18(1.7 µm,2.1 mm × 100 mm)色谱柱,流速为 300 μL min-1,温度为 55 °C,结果最佳。最佳脱溶剂温度为 350 ℃,梯度洗脱从流动相中溶剂 B 含量为 0% 开始。对各个脂质类别的保留依赖性进行了表征。它们被成功地用线性模型拟合(R2 > 0.99),随后用于确认脂质鉴定的准确性。优化后的 LC-MS 方法还被用于分析从肾脏捐献者脂肪组织中分离出的巨噬细胞的真实样本。样本由临床与实验医学研究所提供。主成分分析揭示了巨噬细胞的类型划分。火山图显示,在促炎巨噬细胞中,五种脂质的浓度显著增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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