Plasma lipidomics analysis finds long chain cholesteryl esters to be associated with Alzheimer's disease.

ABSTRACT: There is an urgent need for the identification of Alzheimer's disease (AD) biomarkers. Studies have now suggested the promising use of associations with blood metabolites as functional intermediate phenotypes in biomedical and pharmaceutical research. The aim of this study was to use lipidomics to identify a battery of plasma metabolite molecules that could predict AD patients from controls. We performed a comprehensive untargeted lipidomic analysis, using ultra-performance liquid chromatography/mass spectrometry on plasma samples from 35 AD patients, 40 elderly controls and 48 individuals with mild cognitive impairment (MCI) and used multivariate analysis methods to identify metabolites associated with AD status. A combination of 10 metabolites could discriminate AD patients from controls

SUBMITTER: Proitsi P 

PROVIDER: S-EPMC4312824 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature