Department of Analytical Biosciences, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC, Leiden, Netherlands.
Netherlands Metabolomics Centre, Leiden University, Einsteinweg 55, 2333 CC, Leiden, Netherlands.
Anal Bioanal Chem. 2018 Apr;410(10):2551-2568. doi: 10.1007/s00216-018-0912-2. Epub 2018 Mar 2.
Oxidative stress and inflammation are underlying pathogenic mechanisms associated with the progression of several pathological conditions and immunological responses. Elucidating the role of signalling lipid classes, which include, among others, the isoprostanes, nitro fatty acids, prostanoids, sphingoid bases and lysophosphatidic acids, will create a snapshot of the cause and effect of inflammation and oxidative stress at the metabolic level. Here we describe a fast, sensitive, and targeted ultra-high-performance liquid chromatography-tandem mass spectrometry metabolomics method that allows the quantitative measurement and biological elucidation of 17 isoprostanes as well as their respective isomeric prostanoid mediators, three nitro fatty acids, four sphingoid mediators, and 24 lysophosphatidic acid species from serum as well as organ tissues, including liver, lung, heart, spleen, kidney and brain. Application of this method to paired mouse serum and tissue samples revealed tissue- and serum-specific stress and inflammatory readouts. Little correlation was found between localized (tissue) metabolite levels compared with the systemic (serum) circulation in a homeostatic model. The application of this method in future studies will enable us to explore the role of signalling lipids in the metabolic pathogenicity of stress and inflammation during health and disease.
氧化应激和炎症是与多种病理状况和免疫反应进展相关的潜在发病机制。阐明包括类异戊二烯、硝基脂肪酸、前列腺素、神经鞘氨醇碱基和溶血磷脂酸在内的信号脂质类的作用,将在代谢水平上描绘炎症和氧化应激的因果关系。在这里,我们描述了一种快速、灵敏和靶向的超高效液相色谱-串联质谱代谢组学方法,该方法允许定量测量和生物学阐明 17 种类异戊二烯以及它们各自的异构前列腺素介质、三种硝基脂肪酸、四种神经鞘氨醇介质和 24 种溶血磷脂酸种类,来自血清和器官组织,包括肝、肺、心、脾、肾和脑。该方法在配对的小鼠血清和组织样本中的应用揭示了组织和血清特异性应激和炎症反应。在稳态模型中,与局部(组织)代谢物水平相比,系统(血清)循环之间的相关性很小。该方法在未来研究中的应用将使我们能够探索信号脂质在健康和疾病期间应激和炎症的代谢发病机制中的作用。