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The EMIF-AD Multimodal Biomarker Discovery study: design, methods and cohort characteristics

BACKGROUND: There is an urgent need for novel, noninvasive biomarkers to diagnose Alzheimer’s disease (AD) in the predementia stages and to predict the rate of decline. Therefore, we set up the European Medical Information Framework for Alzheimer’s Disease Multimodal Biomarker Discovery (EMIF-AD MBD...

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Autores principales: Bos, Isabelle, Vos, Stephanie, Vandenberghe, Rik, Scheltens, Philip, Engelborghs, Sebastiaan, Frisoni, Giovanni, Molinuevo, José Luis, Wallin, Anders, Lleó, Alberto, Popp, Julius, Martinez-Lage, Pablo, Baird, Alison, Dobson, Richard, Legido-Quigley, Cristina, Sleegers, Kristel, Van Broeckhoven, Christine, Bertram, Lars, ten Kate, Mara, Barkhof, Frederik, Zetterberg, Henrik, Lovestone, Simon, Streffer, Johannes, Visser, Pieter Jelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6035398/
https://www.ncbi.nlm.nih.gov/pubmed/29980228
http://dx.doi.org/10.1186/s13195-018-0396-5
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author Bos, Isabelle
Vos, Stephanie
Vandenberghe, Rik
Scheltens, Philip
Engelborghs, Sebastiaan
Frisoni, Giovanni
Molinuevo, José Luis
Wallin, Anders
Lleó, Alberto
Popp, Julius
Martinez-Lage, Pablo
Baird, Alison
Dobson, Richard
Legido-Quigley, Cristina
Sleegers, Kristel
Van Broeckhoven, Christine
Bertram, Lars
ten Kate, Mara
Barkhof, Frederik
Zetterberg, Henrik
Lovestone, Simon
Streffer, Johannes
Visser, Pieter Jelle
author_facet Bos, Isabelle
Vos, Stephanie
Vandenberghe, Rik
Scheltens, Philip
Engelborghs, Sebastiaan
Frisoni, Giovanni
Molinuevo, José Luis
Wallin, Anders
Lleó, Alberto
Popp, Julius
Martinez-Lage, Pablo
Baird, Alison
Dobson, Richard
Legido-Quigley, Cristina
Sleegers, Kristel
Van Broeckhoven, Christine
Bertram, Lars
ten Kate, Mara
Barkhof, Frederik
Zetterberg, Henrik
Lovestone, Simon
Streffer, Johannes
Visser, Pieter Jelle
author_sort Bos, Isabelle
collection PubMed
description BACKGROUND: There is an urgent need for novel, noninvasive biomarkers to diagnose Alzheimer’s disease (AD) in the predementia stages and to predict the rate of decline. Therefore, we set up the European Medical Information Framework for Alzheimer’s Disease Multimodal Biomarker Discovery (EMIF-AD MBD) study. In this report we describe the design of the study, the methods used and the characteristics of the participants. METHODS: Participants were selected from existing prospective multicenter and single-center European studies. Inclusion criteria were having normal cognition (NC) or a diagnosis of mild cognitive impairment (MCI) or AD-type dementia at baseline, age above 50 years, known amyloid-beta (Aβ) status, availability of cognitive test results and at least two of the following materials: plasma, DNA, magnetic resonance imaging (MRI) or cerebrospinal fluid (CSF). Targeted and untargeted metabolomic and proteomic analyses were performed in plasma, and targeted and untargeted proteomics were performed in CSF. Genome-wide SNP genotyping, next-generation sequencing and methylation profiling were conducted in DNA. Visual rating and volumetric measures were assessed on MRI. Baseline characteristics were analyzed using ANOVA or chi-square, rate of decline analyzed by linear mixed modeling. RESULTS: We included 1221 individuals (NC n = 492, MCI n = 527, AD-type dementia n = 202) with a mean age of 67.9 (SD 8.3) years. The percentage Aβ+ was 26% in the NC, 58% in the MCI, and 87% in the AD-type dementia groups. Plasma samples were available for 1189 (97%) subjects, DNA samples for 929 (76%) subjects, MRI scans for 862 (71%) subjects and CSF samples for 767 (63%) subjects. For 759 (62%) individuals, clinical follow-up data were available. In each diagnostic group, the APOE ε4 allele was more frequent amongst Aβ+ individuals (p < 0.001). Only in MCI was there a difference in baseline Mini Mental State Examination (MMSE) score between the A groups (p < 0.001). Aβ+ had a faster rate of decline on the MMSE during follow-up in the NC (p < 0.001) and MCI (p < 0.001) groups. CONCLUSIONS: The characteristics of this large cohort of elderly subjects at various cognitive stages confirm the central roles of Aβ and APOE ε4 in AD pathogenesis. The results of the multimodal analyses will provide new insights into underlying mechanisms and facilitate the discovery of new diagnostic and prognostic AD biomarkers. All researchers can apply for access to the EMIF-AD MBD data by submitting a research proposal via the EMIF-AD Catalog. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13195-018-0396-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-60353982018-07-09 The EMIF-AD Multimodal Biomarker Discovery study: design, methods and cohort characteristics Bos, Isabelle Vos, Stephanie Vandenberghe, Rik Scheltens, Philip Engelborghs, Sebastiaan Frisoni, Giovanni Molinuevo, José Luis Wallin, Anders Lleó, Alberto Popp, Julius Martinez-Lage, Pablo Baird, Alison Dobson, Richard Legido-Quigley, Cristina Sleegers, Kristel Van Broeckhoven, Christine Bertram, Lars ten Kate, Mara Barkhof, Frederik Zetterberg, Henrik Lovestone, Simon Streffer, Johannes Visser, Pieter Jelle Alzheimers Res Ther Research BACKGROUND: There is an urgent need for novel, noninvasive biomarkers to diagnose Alzheimer’s disease (AD) in the predementia stages and to predict the rate of decline. Therefore, we set up the European Medical Information Framework for Alzheimer’s Disease Multimodal Biomarker Discovery (EMIF-AD MBD) study. In this report we describe the design of the study, the methods used and the characteristics of the participants. METHODS: Participants were selected from existing prospective multicenter and single-center European studies. Inclusion criteria were having normal cognition (NC) or a diagnosis of mild cognitive impairment (MCI) or AD-type dementia at baseline, age above 50 years, known amyloid-beta (Aβ) status, availability of cognitive test results and at least two of the following materials: plasma, DNA, magnetic resonance imaging (MRI) or cerebrospinal fluid (CSF). Targeted and untargeted metabolomic and proteomic analyses were performed in plasma, and targeted and untargeted proteomics were performed in CSF. Genome-wide SNP genotyping, next-generation sequencing and methylation profiling were conducted in DNA. Visual rating and volumetric measures were assessed on MRI. Baseline characteristics were analyzed using ANOVA or chi-square, rate of decline analyzed by linear mixed modeling. RESULTS: We included 1221 individuals (NC n = 492, MCI n = 527, AD-type dementia n = 202) with a mean age of 67.9 (SD 8.3) years. The percentage Aβ+ was 26% in the NC, 58% in the MCI, and 87% in the AD-type dementia groups. Plasma samples were available for 1189 (97%) subjects, DNA samples for 929 (76%) subjects, MRI scans for 862 (71%) subjects and CSF samples for 767 (63%) subjects. For 759 (62%) individuals, clinical follow-up data were available. In each diagnostic group, the APOE ε4 allele was more frequent amongst Aβ+ individuals (p < 0.001). Only in MCI was there a difference in baseline Mini Mental State Examination (MMSE) score between the A groups (p < 0.001). Aβ+ had a faster rate of decline on the MMSE during follow-up in the NC (p < 0.001) and MCI (p < 0.001) groups. CONCLUSIONS: The characteristics of this large cohort of elderly subjects at various cognitive stages confirm the central roles of Aβ and APOE ε4 in AD pathogenesis. The results of the multimodal analyses will provide new insights into underlying mechanisms and facilitate the discovery of new diagnostic and prognostic AD biomarkers. All researchers can apply for access to the EMIF-AD MBD data by submitting a research proposal via the EMIF-AD Catalog. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13195-018-0396-5) contains supplementary material, which is available to authorized users. BioMed Central 2018-07-06 /pmc/articles/PMC6035398/ /pubmed/29980228 http://dx.doi.org/10.1186/s13195-018-0396-5 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Bos, Isabelle
Vos, Stephanie
Vandenberghe, Rik
Scheltens, Philip
Engelborghs, Sebastiaan
Frisoni, Giovanni
Molinuevo, José Luis
Wallin, Anders
Lleó, Alberto
Popp, Julius
Martinez-Lage, Pablo
Baird, Alison
Dobson, Richard
Legido-Quigley, Cristina
Sleegers, Kristel
Van Broeckhoven, Christine
Bertram, Lars
ten Kate, Mara
Barkhof, Frederik
Zetterberg, Henrik
Lovestone, Simon
Streffer, Johannes
Visser, Pieter Jelle
The EMIF-AD Multimodal Biomarker Discovery study: design, methods and cohort characteristics
title The EMIF-AD Multimodal Biomarker Discovery study: design, methods and cohort characteristics
title_full The EMIF-AD Multimodal Biomarker Discovery study: design, methods and cohort characteristics
title_fullStr The EMIF-AD Multimodal Biomarker Discovery study: design, methods and cohort characteristics
title_full_unstemmed The EMIF-AD Multimodal Biomarker Discovery study: design, methods and cohort characteristics
title_short The EMIF-AD Multimodal Biomarker Discovery study: design, methods and cohort characteristics
title_sort emif-ad multimodal biomarker discovery study: design, methods and cohort characteristics
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6035398/
https://www.ncbi.nlm.nih.gov/pubmed/29980228
http://dx.doi.org/10.1186/s13195-018-0396-5
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