Literature DB >> 24316528

Development of lipidomic platform and phosphatidylcholine retention time index for lipid profiling of rosuvastatin treated human plasma.

Jong Min Choi1, Tae-Eun Kim2, Joo-Youn Cho2, Hwa Jeong Lee3, Byung Hwa Jung4.   

Abstract

A simple and fast methodology to detect and identify multiple classes of lipid from human plasma is developed utilizing ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-QTOF) as lipidomics platform. All the conditions for the sample preparation and analytical instruments were optimized in detail to detect nine lipid classes (phosphatidylserine (PS), phosphatidylglycerol (PG), phosphatidylethanolamine (PE), phosphatidylcholine (PC), triacylglyceride (TG), phosphatidylinositol (PI), lysophosphatidylcholine (LysoPC), lysophosphatidic acid (LysoPA), and sphingomyelin (SM)), which are the most important biologically active lipids but have different characteristics. Finally, the plasma was prepared after a liquid-liquid extraction with a mixture of chloroform/methanol (1:2v/v) including salting out by adding 0.15M of NaCl and the residue after evaporation was reconstituted with a mixture of chloroform/methanol (1:1v/v) to dissolve all lipids which have different polarity. The chromatographic conditions were set up such that mobile phase (A) comprised 10mM ammonium acetate in 40% acetonitrile and mobile phase (B) comprised 10mM ammonium acetate in acetonitrile:isopropanol=10:90(v/v) with ACQUITY BEH C18 as the stationary phase. In particular, a retention time index of PC was constructed by analyzing known standards to confirm each variant of PC without the use of any additional standards in every experiment. The lipidomic methodology and the retention time index of PC were applied to analyze the lipidomic profiling of human plasma from rosuvastatin (lipid lowering drug) treated subjects. In the developed lipidomic platform, all lipids were successfully analyzed within 16min and PCs could be confirmed with the PC retention time index. In rosuvastatin treatment, the lipid profiling was changed in all the eight lipid classes. The level of SM, TG, PI and PE decrease significantly but LysoPCs and PCs were whether decreased or increased. Those results indicated that the plasma level of overall lipids decreased by drug response, however, the changes in the lipids which are important components for biological membrane such as LysoPC and PC were more complicated, and it could be related to the side effect of rousuvastatin. In conclusion, it was found that our lipidomic methodology and the PC retention time index provided not only overall lipidomic information but also profiled specific information of drug response.
Copyright © 2013. Published by Elsevier B.V.

Entities:  

Keywords:  3-hydroxy-3-methyl-glutaryl-CoA; C(max); DG; Diacylglyceride; ESI; Electrospray ionization; FA; Fatty acid; HDL; HMG-CoA; High density lipoprotein; LC-MS; LDL; LLE; Lipid; Lipidomics; Liquid chromatography–mass spectrometry; Liquid–liquid extraction; Low density lipoprotein; LysoPA; LysoPC; Lysophosphatidic acid; Lysophosphatidylcholine; PC; PE; PG; PI; PLS-DA; PS; Partial least squares discriminant analysis; Phosphatidylcholine; Phosphatidylethanolamine; Phosphatidylglycerol; Phosphatidylinositol; Phosphatidylserine; Rosuvastatin; SM; Sphingomyelin; TG; Triacylglyceride; UPLC–QTOF; Ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry; the peak plasma concentration

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Year:  2013        PMID: 24316528     DOI: 10.1016/j.jchromb.2013.10.029

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  6 in total

1.  Role of ammonium in the ionization of phosphatidylcholines during electrospray mass spectrometry.

Authors:  Michael D Rush; Richard B van Breemen
Journal:  Rapid Commun Mass Spectrom       Date:  2017-02-15       Impact factor: 2.419

Review 2.  Mass spectrometry methodology in lipid analysis.

Authors:  Lin Li; Juanjuan Han; Zhenpeng Wang; Jian'an Liu; Jinchao Wei; Shaoxiang Xiong; Zhenwen Zhao
Journal:  Int J Mol Sci       Date:  2014-06-11       Impact factor: 5.923

Review 3.  Applying metabolomics to cardiometabolic intervention studies and trials: past experiences and a roadmap for the future.

Authors:  Naomi J Rankin; David Preiss; Paul Welsh; Naveed Sattar
Journal:  Int J Epidemiol       Date:  2016-10-27       Impact factor: 7.196

4.  Metabolomic profiles of induced pluripotent stem cells derived from patients with rheumatoid arthritis and osteoarthritis.

Authors:  Juryun Kim; Sunyoung Christina Kang; Na Eun Yoon; Yena Kim; Jinhyeok Choi; Narae Park; Hyerin Jung; Byung Hwa Jung; Ji Hyeon Ju
Journal:  Stem Cell Res Ther       Date:  2019-11-15       Impact factor: 6.832

Review 5.  A concise review on lipidomics analysis in biological samples.

Authors:  Ramani Venkata Addepalli; Ramesh Mullangi
Journal:  ADMET DMPK       Date:  2020-12-09

6.  A Pilot Study on Characteristics of Metabolomics and Lipidomics according to Sasang Constitution.

Authors:  Min Jung Kim; Da-Hye Lee; Jiyun Ahn; Tae-Youl Ha; Young Jin Jang; Eunju Do; Chang Hwa Jung
Journal:  Evid Based Complement Alternat Med       Date:  2018-05-30       Impact factor: 2.629

  6 in total

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