Literature DB >> 23103340

A highly efficient, high-throughput lipidomics platform for the quantitative detection of eicosanoids in human whole blood.

Jiao Song1, Xuejun Liu, Jiejun Wu, Michael J Meehan, Jonathan M Blevitt, Pieter C Dorrestein, Marcos E Milla.   

Abstract

We have developed an ultra-performance liquid chromatography-multiple reaction monitoring/mass spectrometry (UPLC-MRM/MS)-based, high-content, high-throughput platform that enables simultaneous profiling of multiple lipids produced ex vivo in human whole blood (HWB) on treatment with calcium ionophore and its modulation with pharmacological agents. HWB samples were processed in a 96-well plate format compatible with high-throughput sample processing instrumentation. We employed a scheduled MRM (sMRM) method, with a triple-quadrupole mass spectrometer coupled to a UPLC system, to measure absolute amounts of 122 distinct eicosanoids using deuterated internal standards. In a 6.5-min run, we resolved and detected with high sensitivity (lower limit of quantification in the range of 0.4-460 pg) all targeted analytes from a very small HWB sample (2.5 μl). Approximately 90% of the analytes exhibited a dynamic range exceeding 1000. We also developed a tailored software package that dramatically sped up the overall data quantification and analysis process with superior consistency and accuracy. Matrix effects from HWB and precision of the calibration curve were evaluated using this newly developed automation tool. This platform was successfully applied to the global quantification of changes on all 122 eicosanoids in HWB samples from healthy donors in response to calcium ionophore stimulation.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23103340     DOI: 10.1016/j.ab.2012.10.022

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  14 in total

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Journal:  J Am Soc Mass Spectrom       Date:  2014-04-24       Impact factor: 3.109

2.  LC/MS/MS analyses of open-flow microperfusion samples quantify eicosanoids in a rat model of skin inflammation.

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Journal:  J Lipid Res       Date:  2019-01-29       Impact factor: 5.922

3.  Phenotyping drug polypharmacology via eicosanoid profiling of blood.

Authors:  Jiao Song; Xuejun Liu; Tadimeti S Rao; Leon Chang; Michael J Meehan; Jonathan M Blevitt; Jiejun Wu; Pieter C Dorrestein; Marcos E Milla
Journal:  J Lipid Res       Date:  2015-05-28       Impact factor: 5.922

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Authors:  Stephen A Brose; Andrew G Baker; Mikhail Y Golovko
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Authors:  Rhishikesh Thakare; Yashpal S Chhonker; Nagsen Gautam; Amy Nelson; Richard Casaburi; Gerard Criner; Mark T Dransfield; Barry Make; Kendra K Schmid; Stephen I Rennard; Yazen Alnouti
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6.  Directed Non-targeted Mass Spectrometry and Chemical Networking for Discovery of Eicosanoids and Related Oxylipins.

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7.  Comprehensive ultra-performance liquid chromatographic separation and mass spectrometric analysis of eicosanoid metabolites in human samples.

Authors:  Yan Wang; Aaron M Armando; Oswald Quehenberger; Chao Yan; Edward A Dennis
Journal:  J Chromatogr A       Date:  2014-07-12       Impact factor: 4.759

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Journal:  Front Genet       Date:  2013-10-16       Impact factor: 4.599

Review 9.  Methods of the Analysis of Oxylipins in Biological Samples.

Authors:  Ivan Liakh; Alicja Pakiet; Tomasz Sledzinski; Adriana Mika
Journal:  Molecules       Date:  2020-01-15       Impact factor: 4.411

10.  Analytical considerations for reducing the matrix effect for the sphingolipidome quantification in whole blood.

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Journal:  Bioanalysis       Date:  2021-06-10       Impact factor: 2.681

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