Literature DB >> 25855318

Lipidomic analysis of plasma, erythrocytes and lipoprotein fractions of cardiovascular disease patients using UHPLC/MS, MALDI-MS and multivariate data analysis.

Michal Holčapek1, Blanka Červená2, Eva Cífková2, Miroslav Lísa2, Vitaliy Chagovets2, Jitka Vostálová3, Martina Bancířová3, Jan Galuszka4, Martin Hill5.   

Abstract

Differences among lipidomic profiles of healthy volunteers, obese people and three groups of cardiovascular disease (CVD) patients are investigated with the goal to differentiate individual groups based on the multivariate data analysis (MDA) of lipidomic data from plasma, erythrocytes and lipoprotein fractions of more than 50 subjects. Hydrophilic interaction liquid chromatography on ultrahigh-performance liquid chromatography (HILIC-UHPLC) column coupled with electrospray ionization mass spectrometry (ESI-MS) is used for the quantitation of four classes of polar lipids (phosphatidylethanolamines, phosphatidylcholines, sphingomyelins and lysophosphatidylcholines), normal-phase UHPLC-atmospheric pressure chemical ionization MS (NP-UHPLC/APCI-MS) is applied for the quantitation of five classes of nonpolar lipids (cholesteryl esters, triacylglycerols, sterols, 1,3-diacylglycerols and 1,2-diacylglycerols) and the potential of matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) is tested for the fast screening of all lipids without a chromatographic separation. Obtained results are processed by unsupervised (principal component analysis) and supervised (orthogonal partial least squares) MDA approaches to highlight the largest differences among individual groups and to identify lipid molecules with the highest impact on the group differentiation.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cardiovascular diseases; Lipidomics; Lipids; Lipoprotein fractions; Multivariate data analysis; UHPLC/MS

Mesh:

Substances:

Year:  2015        PMID: 25855318     DOI: 10.1016/j.jchromb.2015.03.010

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


  9 in total

1.  Comprehensive untargeted lipidomic analysis using core-shell C30 particle column and high field orbitrap mass spectrometer.

Authors:  Mónica Narváez-Rivas; Qibin Zhang
Journal:  J Chromatogr A       Date:  2016-02-22       Impact factor: 4.759

Review 2.  Sphingolipids and phospholipids in insulin resistance and related metabolic disorders.

Authors:  Peter J Meikle; Scott A Summers
Journal:  Nat Rev Endocrinol       Date:  2016-10-21       Impact factor: 43.330

3.  Mass Spectrometry-Based Lipidomics Reveals Differential Changes in the Accumulated Lipid Classes in Chronic Kidney Disease.

Authors:  Lukasz Marczak; Jakub Idkowiak; Joanna Tracz; Maciej Stobiecki; Bartłomiej Perek; Katarzyna Kostka-Jeziorny; Andrzej Tykarski; Maria Wanic-Kossowska; Marcin Borowski; Marcin Osuch; Dorota Formanowicz; Magdalena Luczak
Journal:  Metabolites       Date:  2021-04-27

Review 4.  Applications of Fourier Transform Ion Cyclotron Resonance (FT-ICR) and Orbitrap Based High Resolution Mass Spectrometry in Metabolomics and Lipidomics.

Authors:  Manoj Ghaste; Robert Mistrik; Vladimir Shulaev
Journal:  Int J Mol Sci       Date:  2016-05-25       Impact factor: 5.923

5.  Simultaneous Quantification of Free Cholesterol, Cholesteryl Esters, and Triglycerides without Ester Hydrolysis by UHPLC Separation and In-Source Collision Induced Dissociation Coupled MS/MS.

Authors:  Michael S Gardner; Lisa G McWilliams; Jeffrey I Jones; Zsuzsanna Kuklenyik; James L Pirkle; John R Barr
Journal:  J Am Soc Mass Spectrom       Date:  2017-08-11       Impact factor: 3.109

Review 6.  Recent Developments of Useful MALDI Matrices for the Mass Spectrometric Characterization of Lipids.

Authors:  Jenny Leopold; Yulia Popkova; Kathrin M Engel; Jürgen Schiller
Journal:  Biomolecules       Date:  2018-12-13

7.  Core lipid, surface lipid and apolipoprotein composition analysis of lipoprotein particles as a function of particle size in one workflow integrating asymmetric flow field-flow fractionation and liquid chromatography-tandem mass spectrometry.

Authors:  Zsuzsanna Kuklenyik; Jeffery I Jones; Michael S Gardner; David M Schieltz; Bryan A Parks; Christopher A Toth; Jon C Rees; Michael L Andrews; Kayla Carter; Antony K Lehtikoski; Lisa G McWilliams; Yulanda M Williamson; Kevin P Bierbaum; James L Pirkle; John R Barr
Journal:  PLoS One       Date:  2018-04-10       Impact factor: 3.240

8.  Metabolic Dysregulation of the Lysophospholipid/Autotaxin Axis in the Chromosome 9p21 Gene SNP rs10757274.

Authors:  Sven W Meckelmann; Jade I Hawksworth; Daniel White; Robert Andrews; Patricia Rodrigues; Anne O'Connor; Jorge Alvarez-Jarreta; Victoria J Tyrrell; Christine Hinz; You Zhou; Julie Williams; Maceler Aldrovandi; William J Watkins; Adam J Engler; Valentina Lo Sardo; David A Slatter; Stuart M Allen; Jay Acharya; Jacquie Mitchell; Jackie Cooper; Junken Aoki; Kuniyuki Kano; Steve E Humphries; Valerie B O'Donnell
Journal:  Circ Genom Precis Med       Date:  2020-05-12

9.  Ultra-High Mass Resolving Power, Mass Accuracy, and Dynamic Range MALDI Mass Spectrometry Imaging by 21-T FT-ICR MS.

Authors:  Andrew P Bowman; Greg T Blakney; Christopher L Hendrickson; Shane R Ellis; Ron M A Heeren; Donald F Smith
Journal:  Anal Chem       Date:  2020-02-03       Impact factor: 6.986

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.