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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
Xia,Fangbo1; He,Chengwei1; Ren,Meng2; Xu,Feng Guo3; Wan,Jian Bo1
2020-07-11
Source PublicationAnalytica Chimica Acta
ISSN0003-2670
Volume1120Pages:24-35
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.

KeywordChemical Isotope Labeling Eicosanoids Lc-ms/ms Quantification Twin Derivatization Type 2 Diabetes Mellitus
DOI10.1016/j.aca.2020.04.064
URLView the original
Indexed BySCIE
WOS Research AreaChemistry
WOS SubjectChemistry, Analytical
WOS IDWOS:000537664500003
Scopus ID2-s2.0-85084176114
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Cited Times [WOS]:11   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionInstitute of Chinese Medical Sciences
Affiliation1.State Key Laboratory of Quality Research in Chinese Medicine,Institute of Chinese Medical Sciences,University of Macau,Taipa,China
2.Department of Endocrinology,Sun Yat-sen Memorial Hospital,Sun Yat-sen University,Guangzhou,Yanjiang West Road,China
3.Key Laboratory of Drug Quality Control and Pharmacovigilance (Ministry of Education),China Pharmaceutical University,Nanjing,China
First Author AffilicationInstitute of Chinese Medical Sciences
Recommended Citation
GB/T 7714
Xia,Fangbo,He,Chengwei,Ren,Meng,et al. 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[J]. Analytica Chimica Acta,2020,1120:24-35.
APA Xia,Fangbo,He,Chengwei,Ren,Meng,Xu,Feng Guo,&Wan,Jian Bo.(2020).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.Analytica Chimica Acta,1120,24-35.
MLA Xia,Fangbo,et al."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".Analytica Chimica Acta 1120(2020):24-35.
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