Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Northwest University, No. 229 Taibai North Road, Xi'an, Shaanxi 710069, China; Division of Nephrology and Hypertension, School of Medicine, University of California, Irvine, Med Sci I, C352, UCI Campus, Irvine, CA 92897, USA.
Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Northwest University, No. 229 Taibai North Road, Xi'an, Shaanxi 710069, China.
Chem Biol Interact. 2015 Feb 25;228:79-87. doi: 10.1016/j.cbi.2015.01.023. Epub 2015 Jan 22.
Hyperlipidemia is a major risk factor for coronary heart disease and has emerged as an important public health problem. Lipidomics is a powerful technology for assessment of global lipid metabolites in a biological system and for biomarker discovery. In the present study, hyperlipidemia was induced by feeding rats a high fat diet. A sensitive ultra-performance liquid chromatography coupled with quadrupole time-of-flight synapt high-definition mass spectrometry method was used for the analysis of plasma lipids. Orthogonal partial least squares-discriminant analysis, correlation analysis and heatmap analysis were performed to investigate the metabolic changes in rats with diet-induced hyperlipidemia. Potential biomarkers were detected using S-plot and were identified by accurate mass data, isotopic pattern and MS(E) fragments information. Significantly increased total cholesterol, triglycerides and low-density lipoprotein cholesterol as well as decreased high-density lipoprotein cholesterol were observed in diet-induced hyperlipidemic rats. Combined with standard serum biochemical results, significant differences in plasma lipid compounds including eleven glycerophospholipids, six fatty acids, two sphingolipids, one eicosanoid, one sterol lipid and one glycerolipid were observed, highlighting the perturbation of lipid metabolism in diet-induced hyperlipidemia. These findings provide further insights into the lipid profile across a wide range of biochemical pathways in diet-induced hyperlipidemia.
高脂血症是冠心病的一个主要危险因素，已成为一个重要的公共卫生问题。脂质组学是评估生物系统中整体脂质代谢物和发现生物标志物的强大技术。在本研究中，通过给大鼠高脂饮食来诱导高脂血症。采用灵敏的超高效液相色谱-四极杆飞行时间串联高分辨质谱法分析血浆脂质。采用正交偏最小二乘判别分析、相关分析和热图分析来研究饮食诱导高脂血症大鼠的代谢变化。使用 S-plot 检测潜在的生物标志物，并通过精确质量数据、同位素模式和 MS(E)碎片信息进行鉴定。在饮食诱导的高脂血症大鼠中观察到总胆固醇、甘油三酯和低密度脂蛋白胆固醇显著增加，而高密度脂蛋白胆固醇降低。结合标准血清生化结果，观察到包括 11 种甘油磷脂、6 种脂肪酸、2 种鞘脂、1 种类二十烷酸、1 种甾醇脂质和 1 种甘油酯在内的血浆脂质化合物有显著差异，突出了饮食诱导的高脂血症中脂质代谢的紊乱。这些发现为进一步深入了解饮食诱导的高脂血症中广泛的生化途径中的脂质谱提供了依据。
