Plasma Lipidomic Profiles Improve on Traditional Risk Factors for the Prediction of Cardiovascular Events in Type 2 Diabetes Mellitus

@article{Alshehry2016PlasmaLP,
  title={Plasma Lipidomic Profiles Improve on Traditional Risk Factors for the Prediction of Cardiovascular Events in Type 2 Diabetes Mellitus},
  author={Zahir H. Alshehry and Piyushkumar A. Mundra and Christopher K. Barlow and Natalie A. Mellett and Gerard Wong and Malcolm J. McConville and John R. Simes and Andrew M. Tonkin and David R. Sullivan and Elizabeth H. Barnes and Paul J. Nestel and Bronwyn A. Kingwell and Michel Marre and Bruce Neal and Neil R. Poulter and Anthony Rodgers and Bryan Williams and Sophia Zoungas and Graham S. Hillis and John Chalmers and Mark Woodward and Peter J. Meikle},
  journal={Circulation},
  year={2016},
  volume={134},
  pages={1637–1650}
}
Background: Clinical lipid measurements do not show the full complexity of the altered lipid metabolism associated with diabetes mellitus or cardiovascular disease. Lipidomics enables the assessment of hundreds of lipid species as potential markers for disease risk. Methods: Plasma lipid species (310) were measured by a targeted lipidomic analysis with liquid chromatography electrospray ionization–tandem mass spectrometry on a case-cohort (n=3779) subset from the ADVANCE trial (Action in… 

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