Literature DB >> 17418798

Quantitative profiling of epoxyeicosatrienoic, hydroxyeicosatetraenoic, and dihydroxyeicosatetraenoic acids in human intrauterine tissues using liquid chromatography/electrospray ionization tandem mass spectrometry.

Ji-Hong Zhang1, Timothy Pearson, Balwir Matharoo-Ball, Catharine A Ortori, Averil Y Warren, Raheela Khan, David A Barrett.   

Abstract

A reversed-phase liquid chromatography negative ion electrospray tandem mass spectrometry (LC/ESI-MS/MS) method was developed and validated to quantify a range of physiologically relevant eicosanoids, including 5,6-, 8,9-, 11,12-, and 14,15-epoxyeicosatrienoic acids (EETs); 5-, 8-, 9-, 12-, and 15-hydroxyeicosatetraenoic acids (HETEs), and 5,6-, 8,15-, and 12,20-dihydroxyeicosatetraenoic acids (DiHETEs) in human intrauterine tissues. A solid-phase extraction method was employed to extract the eicosanoids, and gradient LC separation was performed on a Kromasil C(18) column. Mass spectrometric detection was performed by multiple reaction monitoring over a 31-min run time. The calibration curves were linear over the range of 4-400pmol/g tissue, and the intra- and interday precision and accuracy were within a coefficient of variation of 2.0 to 27.4% and 4.6 to 17.9%, respectively. The lower limit of quantitation was 1.0pmol/g tissue. The method was applied successfully to the characterization and quantitation of eicosanoids in the different compartments of human intrauterine tissues. Our results demonstrate significantly greater amounts of HETEs than of either the EETs or DiHETEs (P<0.001), irrespective of tissue type. Specifically, the metabolite 12-HETE was significantly more abundant (P<0.001) than all other HETEs. Of the EET metabolites, 5,6-EET predominated (P<0.001). A significant negative correlation between EETs and HETEs for all tissues (rho=-0.390, P<0.001) was identified, implying a biological feedback mechanism between these two arachidonate metabolite classes.

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Year:  2007        PMID: 17418798     DOI: 10.1016/j.ab.2007.03.001

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


  18 in total

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2.  Oxidized fatty acid analysis by charge-switch derivatization, selected reaction monitoring, and accurate mass quantitation.

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3.  CYP3A4 mediates growth of estrogen receptor-positive breast cancer cells in part by inducing nuclear translocation of phospho-Stat3 through biosynthesis of (±)-14,15-epoxyeicosatrienoic acid (EET).

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Journal:  J Biol Chem       Date:  2011-03-14       Impact factor: 5.157

4.  Cytochrome P450 subfamily 2J polypeptide 2 expression and circulating epoxyeicosatrienoic metabolites in preeclampsia.

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5.  Structural characterization of monohydroxyeicosatetraenoic acids and dihydroxy- and trihydroxyeicosatrienoic acids by ESI-FTICR.

Authors:  Lijie Cui; Marilyn A Isbell; Yuttana Chawengsub; John R Falck; William B Campbell; Kasem Nithipatikom
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7.  Eicosanomic profiling reveals dominance of the epoxygenase pathway in human amniotic fluid at term in spontaneous labor.

Authors:  Krishna Rao Maddipati; Roberto Romero; Tinnakorn Chaiworapongsa; Sen-Lin Zhou; Zhonghui Xu; Adi L Tarca; Juan Pedro Kusanovic; Hernan Munoz; Kenneth V Honn
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8.  Rapid, simultaneous quantitation of mono and dioxygenated metabolites of arachidonic acid in human CSF and rat brain.

Authors:  Tricia M Miller; Mark K Donnelly; Elizabeth A Crago; Dana M Roman; Paula R Sherwood; Michael B Horowitz; Samuel M Poloyac
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2009-10-14       Impact factor: 3.205

Review 9.  Targeted quantitative analysis of eicosanoid lipids in biological samples using liquid chromatography-tandem mass spectrometry.

Authors:  Clementina Mesaros; Seon Hwa Lee; Ian A Blair
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2009-03-17       Impact factor: 3.205

10.  Increased epoxyeicosatrienoic acids and reduced soluble epoxide hydrolase expression in the preeclamptic placenta.

Authors:  Francesco Dalle Vedove; Cristiano Fava; Houli Jiang; Giovanni Zanconato; John Quilley; Matteo Brunelli; Valeria Guglielmi; Gaetano Vattemi; Pietro Minuz
Journal:  J Hypertens       Date:  2016-07       Impact factor: 4.844

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