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

Petroula Proitsi; Min Kim; Luke Whiley; Andrew Simmons; Martina Sattlecker; Latha Velayudhan; Michelle K Lupton; Hillka Soininen; Iwona Kloszewska; Patrizia Mecocci; Magda Tsolaki; Bruno Vellas; Simon Lovestone; John F Powell; Richard J B Dobson; Cristina Legido-Quigley

doi:10.1016/j.jalz.2016.08.003

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

Petroula Proitsi
, Min Kim
, Luke Whiley
, Andrew Simmons
, Martina Sattlecker
, Latha Velayudhan
, Michelle K Lupton
, Hillka Soininen
, Iwona Kloszewska
, Patrizia Mecocci
, Magda Tsolaki
, Bruno Vellas
, Simon Lovestone
, John F Powell
, Richard J B Dobson
, Cristina Legido-Quigley

179 Citationer (Scopus)

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 (R2 = 0.10, test data set) and brain atrophy (R2 ≥ 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.

Originalsprog	Engelsk
Tidsskrift	Alzheimer's & dementia : the journal of the Alzheimer's Association
Vol/bind	13
Udgave nummer	2
Sider (fra-til)	140-151
Antal sider	12
ISSN	1552-5260
DOI	https://doi.org/10.1016/j.jalz.2016.08.003
Status	Udgivet - feb. 2017
Udgivet eksternt	Ja

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10.1016/j.jalz.2016.08.003

Citationsformater

Proitsi, P., Kim, M., Whiley, L., Simmons, A., Sattlecker, M., Velayudhan, L., Lupton, M. K., Soininen, H., Kloszewska, I., Mecocci, P., Tsolaki, M., Vellas, B., Lovestone, S., Powell, J. F., Dobson, R. J. B., & Legido-Quigley, C. (2017). Association of blood lipids with Alzheimer's disease: A comprehensive lipidomics analysis. Alzheimer's & dementia : the journal of the Alzheimer's Association, 13(2), 140-151. https://doi.org/10.1016/j.jalz.2016.08.003

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 : the journal of the Alzheimer's Association, bind 13, nr. 2, s. 140-151. https://doi.org/10.1016/j.jalz.2016.08.003

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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 (R2 = 0.10, test data set) and brain atrophy (R2 ≥ 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 = "Aged, Alzheimer Disease, Atrophy, Biomarkers, Cohort Studies, Disease Progression, Entorhinal Cortex, Female, Hippocampus, Humans, Lipids, Magnetic Resonance Imaging, Male, Multivariate Analysis, Regression Analysis, Journal Article",

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",

year = "2017",

month = feb,

doi = "10.1016/j.jalz.2016.08.003",

language = "English",

volume = "13",

pages = "140--151",

journal = "Alzheimer's \& dementia : the journal of the Alzheimer's Association",

issn = "1552-5260",

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number = "2",

}

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

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 (R2 = 0.10, test data set) and brain atrophy (R2 ≥ 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 (R2 = 0.10, test data set) and brain atrophy (R2 ≥ 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 - Aged

KW - Alzheimer Disease

KW - Atrophy

KW - Biomarkers

KW - Cohort Studies

KW - Disease Progression

KW - Entorhinal Cortex

KW - Female

KW - Hippocampus

KW - Humans

KW - Lipids

KW - Magnetic Resonance Imaging

KW - Male

KW - Multivariate Analysis

KW - Regression Analysis

KW - Journal Article

U2 - 10.1016/j.jalz.2016.08.003

DO - 10.1016/j.jalz.2016.08.003

M3 - Journal article

C2 - 27693183

SN - 1552-5260

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SP - 140

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JO - Alzheimer's & dementia : the journal of the Alzheimer's Association

JF - Alzheimer's & dementia : the journal of the Alzheimer's Association

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ER -

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

Abstract

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