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

Zahir H. Alshehry | Zendy; Piyushkumar A. Mundra | Zendy; Christopher K. Barlow | Zendy; Natalie A. Mellett | Zendy; Gerard Wong | Zendy; Malcolm J. McConville | Zendy; John Simes | Zendy; Andrew Tonkin | Zendy; David Sullivan | Zendy; Elizabeth H Barnes | Zendy; Paul Nestel | Zendy; Bronwyn A. Kingwell | Zendy; Michel Marre | Zendy; Bruce Neal | Zendy; Neil R Poulter | Zendy; Anthony Rodgers | Zendy; Bryan Williams | Zendy; Sophia Zoungas | Zendy; Graham S. Hillis | Zendy; John Chalmers | Zendy; Mark Woodward | Zendy; Peter J. Meikle | Zendy

Open Access

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

Author(s) -

Zahir H. Alshehry,

Piyushkumar A. Mundra,

Christopher K. Barlow,

Natalie A. Mellett,

Gerard Wong,

Malcolm J. McConville,

John Simes,

Andrew Tonkin,

David Sullivan,

Elizabeth H Barnes,

Paul Nestel,

Bronwyn A. Kingwell,

Michel Marre,

Bruce Neal,

Neil R Poulter,

Anthony Rodgers,

Bryan Williams,

Sophia Zoungas,

Graham S. Hillis,

John Chalmers,

Mark Woodward,

Peter J. Meikle

Publication year - 2016

Publication title -

circulation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 7.795

H-Index - 607

eISSN - 1524-4539

pISSN - 0009-7322

DOI - 10.1161/circulationaha.116.023233

Subject(s) - medicine , lipidomics , diabetes mellitus , cohort , disease , type 2 diabetes mellitus , proportional hazards model , type 2 diabetes , lipid profile , endocrinology , bioinformatics , biology

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.

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