Literature DB >> 32475388

Quantitative profiling of eicosanoids derived from n-6 and n-3 polyunsaturated fatty acids by twin derivatization strategy combined with LC-MS/MS in patients with type 2 diabetes mellitus.

Fangbo Xia1, Chengwei He1, Meng Ren2, Feng-Guo Xu3, Jian-Bo Wan4.   

Abstract

Eicosanoids derived from n-6 and n-3 polyunsaturated fatty acids (PUFAs), serving as important signaling molecules, are implicated in many physiological and pathological processes, including Type 2 diabetes mellitus (T2DM). However, the quantification of endogenous eicosanoids is challenged by high structural similarity, low abundance in biological sample and poor electrospray ionization efficiency. In the current study, a sensitive and accurate liquid chromatography-tandem mass spectrometry (LC-MS/MS) method was developed to quantify 65 eicosanoids derived from n-6 and n-3 PUFAs in plasma samples using twin derivatization strategy with a pair of reagents, 5-(dimethylamino) naphthalene-1-sulfonyl piperazine (Dns-PP) and (diethylamino) naphthalene-1-sulfonyl piperazine (Dens-PP). Dns-PP-derivatized plasma sample was mixed with the equal volume of Dens-PP-derivatized eicosanoid internal standards for LC-MS/MS analysis in multiple reaction monitoring (MRM) mode. After Dns-PP derivatization, the ionization efficiency and separation performance were substantially improved, resulting in the enhanced sensitivity by 446- to 1009-folds compared to intact eicosanoids. The quantitative accuracy determined by twin derivatization method was found to be comparable with stable isotope labeled internal standards (SIL-IS) method. The newly proposed method was successfully employed to quantify the target eicosanoids in plasma samples from healthy controls and the patients with T2DM. N-6 PUFA-derived eicosanoids, PGF2α, PGD2, PGE2, PGA2, PGB2, 20-HETE and LTC4, significantly increased in plasma sample of T2DM patients. Oppositely, n-3 PUFA-derived eicosanoids, RvE1, 12(S)-HEPE and RvD1, remarkably decreased. Spearman's correlation analysis indicated the strong correlations between these highlighted eicosanoids and clinical parameters of T2DM. Collectively, the sensitive and reliable eicosanoid quantification method may facilitate to elucidate the characteristics of eicosanoid metabolism and understand the role of eicosanoids in the pathogenesis of T2DM and other diseases.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chemical isotope labeling; Eicosanoids; LC-MS/MS; Quantification; Twin derivatization; Type 2 diabetes mellitus

Mesh:

Substances:

Year:  2020        PMID: 32475388     DOI: 10.1016/j.aca.2020.04.064

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  6 in total

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Journal:  ACS Pharmacol Transl Sci       Date:  2021-06-16

2.  Simultaneous quantification of bioactive components in Chinese herbal spirits by ultra-high performance liquid chromatography coupled to triple-quadrupole mass spectrometry (UHPLC-QQQ-MS/MS).

Authors:  Yan Hu; Zhe Wang; Fangbo Xia; Wen Yang; Yuan-Cai Liu; Jian-Bo Wan
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Review 3.  Liquid Chromatography-Mass Spectrometry (LC-MS) Derivatization-Based Methods for the Determination of Fatty Acids in Biological Samples.

Authors:  Christiana Mantzourani; Maroula G Kokotou
Journal:  Molecules       Date:  2022-09-05       Impact factor: 4.927

4.  Unique Metabolic Profiles Associate with Gestational Diabetes and Ethnicity in Low- and High-Risk Women Living in the UK.

Authors:  Harriett Fuller; Mark Iles; J Bernadette Moore; Michael A Zulyniak
Journal:  J Nutr       Date:  2022-10-06       Impact factor: 4.687

5.  A rapid and highly sensitive UPLC-ESI-MS/MS method for the analysis of the fatty acid profile of edible vegetable oils.

Authors:  Suresh K Nagumalli; Cristina C Jacob; Gonçalo Gamboa da Costa
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2020-10-22       Impact factor: 3.205

Review 6.  Utility of the Specialized Pro-Resolving Mediators as Diagnostic and Prognostic Biomarkers in Disease.

Authors:  Jesmond Dalli; Esteban Alberto Gomez; Charlotte Camille Jouvene
Journal:  Biomolecules       Date:  2022-02-23
  6 in total

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