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Qualitative Characterization of the Rat Liver Mitochondrial Lipidome using LC-MS Profiling and High Energy Collisional Dissociation (HCD) All Ion Fragmentation

机译:用LC-MS分析和高能量碰撞解离(HCD)对大鼠肝线粒体脂质体的定性表征所有离子碎裂

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摘要

Lipids play multiple roles essential for proper mitochondrial function, from their involvement in membrane structure and fluidity, cellular energy storage, and signaling. Lipids are also major targets for reactive species, and their peroxidation byproducts themselves mediate further damage. Thousands of lipid species, from multiple classes and categories, are involved in these processes, suggesting lipid quantitative and structural analysis can help provide a better understanding of mitochondrial physiological status. Due to the diversity of lipids that contribute to and reflect mitochondrial function, analytical methods should ideally cover a wide range of lipid classes, and yield both quantitative and structural information. We developed a high resolution LC-MS method that is able to monitor the major lipid classes found in biospecimens (ie. biofluids, cells and tissues) with relative quantitation in an efficient, sensitive, and robust manner while also characterizing individual lipid side-chains, by all ion HCD fragmentation and chromatographic alignment. This method was used to profile the liver mitochondrial lipids from 192 rats undergoing a dietary macronutrient study in which changes in mitochondria function are related to changes in the major fat and glycemic index component of each diet. A total of 381 unique lipids, spanning 5 of the major LIPID MAPS defined categories, including fatty acyls, glycerophospholipids, glycerolipids, sphingolipids and prenols, were identified in mitochondria using the non-targeted LC-MS analysis in both positive and negative mode. The intention of this report is to show the breadth of this non-targeted LC-MS profiling method with regards to its ability to profile, identify and characterize the mitochondrial lipidome and the details of this will be discussed.
机译:脂质从参与膜结构和流动性,细胞能量存储和信号传导中起着适当的线粒体功能必不可少的多种作用。脂质也是反应性物种的主要目标,它们的过氧化副产物本身会介导进一步的损害。这些过程涉及数千个来自多个类别和类别的脂质物种,这表明脂质定量和结构分析可以帮助更好地了解线粒体的生理状态。由于有助于和反映线粒体功能的脂质的多样性,因此分析方法理想地应涵盖多种脂质类别,并产生定量和结构信息。我们开发了一种高分辨率的LC-MS方法,该方法能够以高效,灵敏和稳健的方式相对定量地监控生物样本(即生物流体,细胞和组织)中发现的主要脂质类别,同时还能表征各个脂质侧链,通过所有离子的HCD裂解和色谱比对。该方法用于分析192位进行饮食大量营养研究的大鼠的肝线粒体脂质,其中线粒体功能的变化与每种饮食中主要脂肪和血糖指数成分的变化有关。在线粒体中使用阳性和阴性模式的非靶向LC-MS分析,共鉴定了381种独特脂质,涵盖了5个主要的LIPID MAPS定义的类别,包括脂肪酰基,甘油磷脂,甘油脂,鞘脂和前醇。本报告旨在说明这种非靶向LC-MS分析方法在分析,鉴定和表征线粒体脂质组的能力方面的广度,并将对此进行详细讨论。

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