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Association of blood lipids with Alzheimer's disease: A comprehensive lipidomics analysis

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Association of blood lipids with Alzheimer's disease : A comprehensive lipidomics analysis. / 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.

In: Alzheimer's & Dementia, Vol. 13, No. 2, 02.2017, p. 140-151.

Research output: Contribution to journalArticle

Harvard

Proitsi, P, Kim, M, Whiley, L, Simmons, A, Sattlecker, M, Velayudhan, L, Lupton, MK, Soininen, H, Kloszewska, I, Mecocci, P, Tsolaki, M, Vellas, B, Lovestone, S, Powell, JF, Dobson, RJB & Legido-Quigley, C 2017, 'Association of blood lipids with Alzheimer's disease: A comprehensive lipidomics analysis', Alzheimer's & Dementia, vol. 13, no. 2, pp. 140-151. https://doi.org/10.1016/j.jalz.2016.08.003

APA

Proitsi, P., Kim, M., Whiley, L., Simmons, A., Sattlecker, M., Velayudhan, L., ... Legido-Quigley, C. (2017). Association of blood lipids with Alzheimer's disease: A comprehensive lipidomics analysis. Alzheimer's & Dementia, 13(2), 140-151. https://doi.org/10.1016/j.jalz.2016.08.003

Vancouver

Proitsi P, Kim M, Whiley L, Simmons A, Sattlecker M, Velayudhan L et al. Association of blood lipids with Alzheimer's disease: A comprehensive lipidomics analysis. Alzheimer's & Dementia. 2017 Feb;13(2):140-151. https://doi.org/10.1016/j.jalz.2016.08.003

Author

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. / Association of blood lipids with Alzheimer's disease : A comprehensive lipidomics analysis. In: Alzheimer's & Dementia. 2017 ; Vol. 13, No. 2. pp. 140-151.

Bibtex Download

@article{839259c2ac1a4b3c92c93a218d1f76ec,
title = "Association of blood lipids with Alzheimer's disease: A comprehensive lipidomics analysis",
abstract = "INTRODUCTION: 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.",
keywords = "Alzheimer's disease, Dementia, Brain atrophy, sMRI, Rate of cognitive decline, Lipidomics, Metabolomics, Biomarkers, Machine learning, Multivariate, Classification, Random forest",
author = "Petroula Proitsi and Min Kim and Luke Whiley and Andrew Simmons and Martina Sattlecker and Latha Velayudhan and Lupton, {Michelle K} and Hillka Soininen and Iwona Kloszewska and Patrizia Mecocci and Magda Tsolaki and Bruno Vellas and Simon Lovestone and Powell, {John F} and Dobson, {Richard J B} and Cristina Legido-Quigley",
note = "Copyright {\circledC} 2016 The Authors. Published by Elsevier Inc. All rights reserved.",
year = "2017",
month = "2",
doi = "10.1016/j.jalz.2016.08.003",
language = "English",
volume = "13",
pages = "140--151",
journal = "Alzheimer's & Dementia",
issn = "1552-5260",
number = "2",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - Association of blood lipids with Alzheimer's disease

T2 - A comprehensive lipidomics analysis

AU - Proitsi, Petroula

AU - Kim, Min

AU - Whiley, Luke

AU - Simmons, Andrew

AU - Sattlecker, Martina

AU - Velayudhan, Latha

AU - Lupton, Michelle K

AU - Soininen, Hillka

AU - Kloszewska, Iwona

AU - Mecocci, Patrizia

AU - Tsolaki, Magda

AU - Vellas, Bruno

AU - Lovestone, Simon

AU - Powell, John F

AU - Dobson, Richard J B

AU - Legido-Quigley, Cristina

N1 - Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

PY - 2017/2

Y1 - 2017/2

N2 - INTRODUCTION: 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.

AB - INTRODUCTION: 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.

KW - Alzheimer's disease

KW - Dementia

KW - Brain atrophy

KW - sMRI

KW - Rate of cognitive decline

KW - Lipidomics

KW - Metabolomics

KW - Biomarkers

KW - Machine learning

KW - Multivariate

KW - Classification

KW - Random forest

U2 - 10.1016/j.jalz.2016.08.003

DO - 10.1016/j.jalz.2016.08.003

M3 - Article

C2 - 27693183

VL - 13

SP - 140

EP - 151

JO - Alzheimer's & Dementia

JF - Alzheimer's & Dementia

SN - 1552-5260

IS - 2

ER -

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