Plasma proteins predict conversion to dementia from prodromal disease

Abdul Hye; Joanna Riddoch-Contreras; Alison L Baird; Nicholas Ashton; Chantal Bazenet; Rufina Leung; Eric Westman; Andrew Simmons; Richard Dobson; Martina Sattlecker; Michelle Lupton; Katie Lunnon; Aoife Keohane; Malcolm Ward; Ian Pike; Hans Dieter Zucht; Danielle Pepin; Wei Zheng; Alan Tunnicliffe; Jill Richardson; Serge Gauthier; Hilkka Soininen; Iwona Kłoszewska; Patrizia Mecocci; Magda Tsolaki; Bruno Vellas; Simon Lovestone

doi:10.1016/j.jalz.2014.05.1749

Plasma proteins predict conversion to dementia from prodromal disease

Abdul Hye, Joanna Riddoch-Contreras, Alison L Baird, Nicholas Ashton, Chantal Bazenet, Rufina Leung, Eric Westman, Andrew Simmons, Richard Dobson, Martina Sattlecker, Michelle Lupton, Katie Lunnon, Aoife Keohane, Malcolm Ward, Ian Pike, Hans Dieter Zucht, Danielle Pepin, Wei Zheng, Alan Tunnicliffe, Jill RichardsonSerge Gauthier, Hilkka Soininen, Iwona Kłoszewska, Patrizia Mecocci, Magda Tsolaki, Bruno Vellas, Simon Lovestone

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Abstract

Background
The study aimed to validate previously discovered plasma biomarkers associated with AD, using a design based on imaging measures as surrogate for disease severity and assess their prognostic value in predicting conversion to dementia.

Methods
Three multicenter cohorts of cognitively healthy elderly, mild cognitive impairment (MCI), and AD participants with standardized clinical assessments and structural neuroimaging measures were used. Twenty-six candidate proteins were quantified in 1148 subjects using multiplex (xMAP) assays.

Results
Sixteen proteins correlated with disease severity and cognitive decline. Strongest associations were in the MCI group with a panel of 10 proteins predicting progression to AD (accuracy 87%, sensitivity 85%, and specificity 88%).

Conclusions
We have identified 10 plasma proteins strongly associated with disease severity and disease progression. Such markers may be useful for patient selection for clinical trials and assessment of patients with predisease subjective memory complaints.

Original language	English
Pages (from-to)	799–807.e2
Number of pages	11
Journal	Alzheimers & Dementia
Volume	10
Issue number	6
Early online date	7 Jul 2014
DOIs	https://doi.org/10.1016/j.jalz.2014.05.1749
Publication status	Published - 7 Jul 2014

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Plasma proteins predict conversion to dementia_DOBSON_Publishedonline7July2014_GOLD VoR (CC BY)Final published version, 506 KBLicence: CC BY

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Hye, A., Riddoch-Contreras, J., Baird, A. L., Ashton, N., Bazenet, C., Leung, R., Westman, E., Simmons, A., Dobson, R., Sattlecker, M., Lupton, M., Lunnon, K., Keohane, A., Ward, M., Pike, I., Zucht, H. D., Pepin, D., Zheng, W., Tunnicliffe, A., ... Lovestone, S. (2014). Plasma proteins predict conversion to dementia from prodromal disease. Alzheimers & Dementia, 10(6), 799–807.e2. https://doi.org/10.1016/j.jalz.2014.05.1749

@article{38cbcd276b2a4a76a741e9ab79731ac1,

title = "Plasma proteins predict conversion to dementia from prodromal disease",

abstract = "BackgroundThe study aimed to validate previously discovered plasma biomarkers associated with AD, using a design based on imaging measures as surrogate for disease severity and assess their prognostic value in predicting conversion to dementia.MethodsThree multicenter cohorts of cognitively healthy elderly, mild cognitive impairment (MCI), and AD participants with standardized clinical assessments and structural neuroimaging measures were used. Twenty-six candidate proteins were quantified in 1148 subjects using multiplex (xMAP) assays.ResultsSixteen proteins correlated with disease severity and cognitive decline. Strongest associations were in the MCI group with a panel of 10 proteins predicting progression to AD (accuracy 87%, sensitivity 85%, and specificity 88%).ConclusionsWe have identified 10 plasma proteins strongly associated with disease severity and disease progression. Such markers may be useful for patient selection for clinical trials and assessment of patients with predisease subjective memory complaints.",

author = "Abdul Hye and Joanna Riddoch-Contreras and Baird, {Alison L} and Nicholas Ashton and Chantal Bazenet and Rufina Leung and Eric Westman and Andrew Simmons and Richard Dobson and Martina Sattlecker and Michelle Lupton and Katie Lunnon and Aoife Keohane and Malcolm Ward and Ian Pike and Zucht, {Hans Dieter} and Danielle Pepin and Wei Zheng and Alan Tunnicliffe and Jill Richardson and Serge Gauthier and Hilkka Soininen and Iwona K{\l}oszewska and Patrizia Mecocci and Magda Tsolaki and Bruno Vellas and Simon Lovestone",

year = "2014",

month = jul,

day = "7",

doi = "10.1016/j.jalz.2014.05.1749",

language = "English",

volume = "10",

pages = "799–807.e2",

journal = "Alzheimers & Dementia",

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Hye, A, Riddoch-Contreras, J, Baird, AL, Ashton, N, Bazenet, C, Leung, R, Westman, E, Simmons, A , Dobson, R , Sattlecker, M, Lupton, M, Lunnon, K, Keohane, A, Ward, M, Pike, I, Zucht, HD, Pepin, D, Zheng, W, Tunnicliffe, A, Richardson, J, Gauthier, S, Soininen, H, Kłoszewska, I, Mecocci, P, Tsolaki, M, Vellas, B & Lovestone, S 2014, 'Plasma proteins predict conversion to dementia from prodromal disease', Alzheimers & Dementia, vol. 10, no. 6, pp. 799–807.e2. https://doi.org/10.1016/j.jalz.2014.05.1749

TY - JOUR

T1 - Plasma proteins predict conversion to dementia from prodromal disease

AU - Hye, Abdul

AU - Riddoch-Contreras, Joanna

AU - Baird, Alison L

AU - Ashton, Nicholas

AU - Bazenet, Chantal

AU - Leung, Rufina

AU - Westman, Eric

AU - Simmons, Andrew

AU - Dobson, Richard

AU - Sattlecker, Martina

AU - Lupton, Michelle

AU - Lunnon, Katie

AU - Keohane, Aoife

AU - Ward, Malcolm

AU - Pike, Ian

AU - Zucht, Hans Dieter

AU - Pepin, Danielle

AU - Zheng, Wei

AU - Tunnicliffe, Alan

AU - Richardson, Jill

AU - Gauthier, Serge

AU - Soininen, Hilkka

AU - Kłoszewska, Iwona

AU - Mecocci, Patrizia

AU - Tsolaki, Magda

AU - Vellas, Bruno

AU - Lovestone, Simon

PY - 2014/7/7

Y1 - 2014/7/7

N2 - BackgroundThe study aimed to validate previously discovered plasma biomarkers associated with AD, using a design based on imaging measures as surrogate for disease severity and assess their prognostic value in predicting conversion to dementia.MethodsThree multicenter cohorts of cognitively healthy elderly, mild cognitive impairment (MCI), and AD participants with standardized clinical assessments and structural neuroimaging measures were used. Twenty-six candidate proteins were quantified in 1148 subjects using multiplex (xMAP) assays.ResultsSixteen proteins correlated with disease severity and cognitive decline. Strongest associations were in the MCI group with a panel of 10 proteins predicting progression to AD (accuracy 87%, sensitivity 85%, and specificity 88%).ConclusionsWe have identified 10 plasma proteins strongly associated with disease severity and disease progression. Such markers may be useful for patient selection for clinical trials and assessment of patients with predisease subjective memory complaints.

AB - BackgroundThe study aimed to validate previously discovered plasma biomarkers associated with AD, using a design based on imaging measures as surrogate for disease severity and assess their prognostic value in predicting conversion to dementia.MethodsThree multicenter cohorts of cognitively healthy elderly, mild cognitive impairment (MCI), and AD participants with standardized clinical assessments and structural neuroimaging measures were used. Twenty-six candidate proteins were quantified in 1148 subjects using multiplex (xMAP) assays.ResultsSixteen proteins correlated with disease severity and cognitive decline. Strongest associations were in the MCI group with a panel of 10 proteins predicting progression to AD (accuracy 87%, sensitivity 85%, and specificity 88%).ConclusionsWe have identified 10 plasma proteins strongly associated with disease severity and disease progression. Such markers may be useful for patient selection for clinical trials and assessment of patients with predisease subjective memory complaints.

U2 - 10.1016/j.jalz.2014.05.1749

DO - 10.1016/j.jalz.2014.05.1749

M3 - Article

C2 - 25012867

SN - 1552-5260

VL - 10

SP - 799–807.e2

JO - Alzheimers & Dementia

JF - Alzheimers & Dementia

IS - 6

ER -

Plasma proteins predict conversion to dementia from prodromal disease

Abstract

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