García-Cañaveras Juan Carlos, Peris-Díaz Manuel David, Alcoriza-Balaguer M Isabel, Cerdán-Calero Manuela, Donato M Teresa, Lahoz Agustín
Unidad de Biomarcadores y Medicina de Precisión, Unidad Analítica, Instituto de Investigación Sanitaria, Fundación Hospital La Fe, Spain.
Unidad de Hepatología Experimental, Instituto de Investigación Sanitaria, Fundación Hospital La Fe, Spain.
Electrophoresis. 2017 Sep;38(18):2331-2340. doi: 10.1002/elps.201700079. Epub 2017 Jun 8.
Phospholipidosis and steatosis are two toxic effects, which course with overaccumulation of different classes of lipids in the liver. MS-based lipidomics has become a powerful tool for the comprehensive determination of lipids. LC-MS lipid profiling of HepG2 cells is proposed as an in vitro assay to study and anticipate phospholipidosis and steatosis. Cells with and without preincubation with a mixture of free fatty acids (FFA; i.e. oleic and palmitic) were exposed to a set of well-known steatogenic and phospholipidogenic compounds. The use of FFA preloading accelerated the accumulation of phospholipids, thus leading to a better discrimination of phospholipidosis, and magnified the lipidomic alterations induced by steatogenic drugs. Phospholipidosis was characterized by increased levels of phosphatidylcholines, phosphatidylethanolamines, phosphatidylserines, and phosphatidylinositols, while steatosis induced alterations in FA oxidation and triacylglyceride (TG) synthesis pathways (with changes in the levels of FFA, acylcarnitines, monoacylglycerides, diacylglycerides, and TG). Interestingly, palmitic and oleic acids incorporation into lipids differed. A characteristic pattern was observed in the fold of change of particular TG species in the case of steatosis (TG(54:3) > TG(52:2) > TG(50:1) > TG(48:0)). Based on the levels of those lipids containing only palmitic and/or oleic acid moieties a partial least squares-discriminant analysis model was built, which showed good discrimination among nontoxic, phospholipidogenic and steatogenic compounds. In conclusion, it has been shown that the use of FFA preincubation together with intracellular LC-MS based lipid profiling could be a useful approach to identify the potential of drug candidates to induce phospholipidosis and/or steatosis.
磷脂质病和脂肪变性是两种毒性效应,其过程伴随着肝脏中不同种类脂质的过度积累。基于质谱的脂质组学已成为全面测定脂质的强大工具。有人提出对HepG2细胞进行液相色谱-质谱脂质谱分析作为一种体外试验,以研究和预测磷脂质病和脂肪变性。将预先与游离脂肪酸混合物(FFA,即油酸和棕榈酸)一起孵育和未孵育的细胞暴露于一组众所周知的致脂肪变性和致磷脂质病的化合物中。使用FFA预加载加速了磷脂的积累,从而更好地区分磷脂质病,并放大了致脂肪变性药物引起的脂质组学改变。磷脂质病的特征是磷脂酰胆碱、磷脂酰乙醇胺、磷脂酰丝氨酸和磷脂酰肌醇水平升高,而脂肪变性则诱导脂肪酸氧化和甘油三酯(TG)合成途径的改变(游离脂肪酸、酰基肉碱、单酰甘油、二酰甘油和TG水平发生变化)。有趣的是,棕榈酸和油酸掺入脂质的情况有所不同。在脂肪变性的情况下,特定甘油三酯种类的变化倍数中观察到一种特征模式(TG(54:3) > TG(52:2) > TG(50:1) > TG(48:0))。基于仅含有棕榈酸和/或油酸部分的那些脂质的水平,建立了一个偏最小二乘判别分析模型,该模型在无毒、致磷脂质病和致脂肪变性的化合物之间表现出良好的区分能力。总之,已表明将FFA预孵育与基于细胞内液相色谱-质谱的脂质谱分析结合使用可能是一种有用的方法,用于识别候选药物诱导磷脂质病和/或脂肪变性的潜力。