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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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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. |
format | Online Article Text |
id | pubmed-6035398 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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