Comprehensive LC-MSE lipidomic analysis using a shotgun approach and its application to biomarker detection and identification in osteoarthritis patients

Jose M. Castro-Perez, Jurre Kamphorst, Jeroen Degroot, Floris Lafeber, Jeff Goshawk, Kate Yu, John P. Shockcor, Rob J. Vreeken, Thomas Hankemeier

Research output: Contribution to journalArticleAcademicpeer-review

130 Citations (Scopus)

Abstract

A fast and robust method for lipid profiling utilizing liquid chromatography coupled with mass spectrometry has been demonstrated and validated for the analysis of human plasma. This method allowed quantification and identification of lipids in human plasma using parallel alternating low energy and high energy collision spectral acquisition modes. A total of 284 lipids were identified and quantified (as relative concentrations) in both positive and negative ion electrospray ionization mode. The method was validated with five nonendogenous lipids, and the linearity (r2 better than 0.994) and the intraday and interday repeatability (relative standard deviation, 4-6% and 5-8%, respectively) were satisfactory. The developed lipid profiling method was successfully applied for the analysis of plasma from osteoarthritis (OA) patients. The multivariate statistical analysis by partial least-squares-discrimination analysis suggested an altered lipid metabolism associated with osteoarthritis and the release of arachidonic acid from phospholipids.

Original languageEnglish
Pages (from-to)2377-2389
Number of pages13
JournalJournal of Proteome Research
Volume9
Issue number5
DOIs
Publication statusPublished - 7 May 2010

Keywords

  • Biomarker
  • Lipids
  • Mass spectrometry
  • Metabolite profiling
  • MS
  • Osteoarthritis
  • UPLC

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