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Association of blood lipids with Alzheimer's disease: A comprehensive lipidomics analysis
Author(s) -
Proitsi Petroula,
Kim Min,
Whiley Luke,
Simmons Andrew,
Sattlecker Martina,
Velayudhan Latha,
Lupton Michelle K.,
Soininen Hillka,
Kloszewska Iwona,
Mecocci Patrizia,
Tsolaki Magda,
Vellas Bruno,
Lovestone Simon,
Powell John F.,
Dobson Richard J.B.,
Legido-Quigley Cristina
Publication year - 2017
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2016.08.003
Subject(s) - lipidomics , entorhinal cortex , atrophy , disease , blood lipids , hippocampus , univariate analysis , medicine , biology , bioinformatics , multivariate analysis , cholesterol
The aim of this study was to (1) replicate previous associations between six blood lipids and Alzheimer's disease (AD) (Proitsi et al 2015) and (2) identify novel associations between lipids, clinical AD diagnosis, disease progression and brain atrophy (left/right hippocampus/entorhinal cortex). Methods We performed untargeted lipidomic analysis on 148 AD and 152 elderly control plasma samples and used univariate and multivariate analysis methods. Results We replicated our previous lipids associations and reported novel associations between lipids molecules and all phenotypes. A combination of 24 molecules classified AD patients with >70% accuracy in a test and a validation data set, and we identified lipid signatures that predicted disease progression (R 2 = 0.10, test data set) and brain atrophy (R 2 ≥ 0.14, all test data sets except left entorhinal cortex). We putatively identified a number of metabolic features including cholesteryl esters/triglycerides and phosphatidylcholines. Discussion Blood lipids are promising AD biomarkers that may lead to new treatment strategies.