Astarita Giuseppe, Stocchero Matteo, Paglia Giuseppe
Department of Biochemistry and Molecular and Cellular Biology, Georgetown University, Washington, DC, USA.
Department of Women's and Children's Health, University of Padova, Padova, Italy.
Methods Mol Biol. 2018;1750:255-269. doi: 10.1007/978-1-4939-7704-8_17.
Mass spectrometry (MS)-based lipidomics and metabolomics approaches have been used to discover new diagnostic and therapeutic targets of neurodegenerative disorders. Here, we describe a protocol to conduct an integrated metabolomics and lipidomics profiling of postmortem brains of frozen tissue samples from clinically characterized patients and age-matched controls. Metabolites and lipids can be extracted from each brain tissue sample, using a biphasic liquid/liquid extraction method. An unbiased liquid chromatography MS-based lipidomics and metabolomics workflows allows to screen for the content and composition of lipids and polar metabolites for each brain tissue. Data processing and statistical analysis are then used to compare the molecular content of all the samples, grouping them into cluster based on molecular similarities. The final results highlight classes of metabolites and biochemical pathways that are altered in brain samples from diseased brains compared to those from healthy subjects, helping to generate novel hypotheses on their mechanistic and functional significance.
基于质谱(MS)的脂质组学和代谢组学方法已被用于发现神经退行性疾病的新诊断和治疗靶点。在此,我们描述了一种对来自具有临床特征的患者和年龄匹配对照的冷冻组织样本的死后大脑进行综合代谢组学和脂质组学分析的方案。代谢物和脂质可以使用双相液/液萃取法从每个脑组织样本中提取。基于液相色谱-质谱的无偏脂质组学和代谢组学工作流程能够筛选每个脑组织中脂质和极性代谢物的含量及组成。然后通过数据处理和统计分析来比较所有样本的分子含量,根据分子相似性将它们分组为簇。最终结果突出了与健康受试者相比,患病大脑的脑样本中发生改变的代谢物类别和生化途径,有助于就其机制和功能意义产生新的假设。