Glycerophospholipid identification and quantitation by electrospray ionization mass spectrometry
ABSTRACT Glycerophospholipids are the structural building blocks of the cellular membrane. In addition to creating a protective barrier around the cell, lipids are precursors of intracellular signaling molecules that modulate membrane trafficking and are involved in transmembrane signal transduction. Phospholipids are also increasingly recognized as important participants in the regulation and control of cellular function and disease. Analysis and characterization of lipid species by mass spectrometry (MS) have evolved and advanced with improvements in instrumentation and technology. Key advances, including the development of "soft" ionization techniques for MS such as electrospray ionization (ESI), matrix-assisted laser desorption/ionization (MALDI), and tandem mass spectrometry (MS/MS), have facilitated the analysis of complex lipid mixtures by overcoming the earlier limitations. ESI-MS has become the technique of choice for the analysis of multi-component mixtures of lipids from biological samples due to its exceptional sensitivity and capacity for high throughput. This chapter covers qualitative and quantitative MS methods used for the elucidation of glycerophospholipid identity and quantity in cell or tissue extracts. Sections are included on the extraction, MS analysis, and data analysis of glycerophospholipids and polyphosphoinositides.
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ABSTRACT: Based on theoretically calculated comprehensive lipid libraries, in lipidomics as many as 1000 multiple reaction monitoring (MRM) transitions can be monitored for each single run. On the other hand, lipid analysis from each MRM chromatogram requires tremendous manual efforts to identify and quantify lipid species. Isotopic peaks differing by up to a few atomic masses further complicate analysis. To accelerate the identification and quantification process we developed novel software, MRM-DIFF, for the differential analysis of large-scale MRM assays. It supports a correlation optimized warping (COW) algorithm to align MRM chromatograms and utilizes quality control (QC) sample datasets to automatically adjust the alignment parameters. Moreover, user-defined reference libraries that include the molecular formula, retention time, and MRM transition can be used to identify target lipids and to correct peak abundances by considering isotopic peaks. Here, we demonstrate the software pipeline and introduce key points for MRM-based lipidomics research to reduce the mis-identification and overestimation of lipid profiles. The MRM-DIFF program, example data set and the tutorials are downloadable at the "Standalone software" section of the PRIMe (Platform for RIKEN Metabolomics, http://prime.psc.riken.jp/) database website.Frontiers in Genetics 01/2014; 5:471. DOI:10.3389/fgene.2014.00471
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ABSTRACT: 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 profiling across a wide range of biochemical pathways in diet-induced hyperlipidemia. Copyright © 2015. Published by Elsevier Ireland Ltd.Chemico-biological interactions 02/2015; 228:79-87. DOI:10.1016/j.cbi.2015.01.023 · 2.46 Impact Factor
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ABSTRACT: 1. Overview of Biomarkers for Diagnosis and Monitoring of Celiac Disease 2. Cystatin C: A Kidney Function Biomarker 3. Procalcitonin: Potential Role in Diagnosis and Management 4. Manganese Superoxide Dismutase and Oxidative Stress Modulation 5. Selenium and Selenium-Dependent Antioxidants in Chronic Kidney Disease 6. Lipidomics:New Insight Into Kidney DiseaseAdvances in clinical chemistry 02/2015; 68. · 4.30 Impact Factor