Core Metabolomics and Lipidomics Laboratory, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Box 289, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0QQ, UK.
Division of Child Health, Obstetrics and Gynaecology, Faculty of Medicine, University of Nottingham, Nottingham, NG7 2UH, UK.
Molecules. 2020 Jul 13;25(14):3192. doi: 10.3390/molecules25143192.
Extraction of the lipid fraction is a key part of acquiring lipidomics data. High-throughput lipidomics, the extraction of samples in 96w plates that are then run on 96 or 384w plates, has particular requirements that mean special development work is needed to fully optimise an extraction method. Several methods have been published as suitable for it. Here, we test those methods using four liquid matrices: milk, human serum, homogenised mouse liver and homogenised mouse heart. In order to determine the difference in performance of the methods as objectively as possible, we used the number of lipid variables identified, the total signal strength and the coefficient of variance to quantify the performance of the methods. This showed that extraction methods with an aqueous component were generally better than those without for these matrices. However, methods without an aqueous fraction in the extraction were efficient for milk samples. Furthermore, a mixture containing a chlorinated solvent (dichloromethane) appears to be better than an ethereal solvent (butyl methyl ether) for extracting lipids. This study suggests that a 3:1:0.005 mixture of dichloromethane, methanol and triethylammonium chloride, with an aqueous wash, is the most efficient of the currently reported methods for high-throughput lipid extraction and analysis. Further work is required to develop non-aqueous extraction methods that are both convenient and applicable to a broad range of sample types.
脂质组学数据的获取,关键在于脂质部分的提取。高通量脂质组学是指在 96 孔板中提取样本,然后在 96 或 384 孔板上进行分析,这对提取方法有特殊的要求,需要进行专门的开发工作以实现充分优化。已经有几种方法被发表为适用于该方法。在这里,我们使用四种液体基质(牛奶、人血清、匀浆化的小鼠肝脏和匀浆化的小鼠心脏)来测试这些方法。为了尽可能客观地确定方法的性能差异,我们使用鉴定的脂质变量数量、总信号强度和变异系数来定量评估方法的性能。结果表明,对于这些基质,具有水相成分的提取方法通常比没有水相成分的方法更好。然而,对于牛奶样本,没有水相成分的提取方法也很有效。此外,一种含有氯化溶剂(二氯甲烷)的混合物似乎比醚类溶剂(丁基甲基醚)更适合提取脂质。本研究表明,二氯甲烷、甲醇和三乙基氯化铵的 3:1:0.005 混合物,加上水洗,是目前报道的高通量脂质提取和分析方法中最有效的方法。需要进一步研究开发既方便又适用于广泛样本类型的非水提取方法。