Evidence map›Paper›PMID 29980228›Full record

ArticleAlzheimer's research & therapy2018

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

Isabelle Bos, Stephanie Vos, Rik Vandenberghe, Philip Scheltens, Sebastiaan Engelborghs, Giovanni Frisoni, José Luis Molinuevo, Anders Wallin, Alberto Lleó, Julius Popp and 13 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Alzheimer's research & therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 pooled it
5.7field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

52 citing papers in PubMed, 2 syntheses or guidelines pooled it, 133 citations in OpenAlex.

  1. Pooled it
  2. Biomarkers of endothelial dysfunction and cognition: A two-step IPD meta-analysis.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Pooled it
  3. Article
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  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Blood DNA methylomic signatures associated with CSF biomarkers of Alzheimer's disease in the EMIF-AD study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  13. Blood-based multivariate methylation risk score for cognitive impairment and dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  14. CSF proteomic profiles of neurodegeneration biomarkers in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  15. Review
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  18. Article
  19. Data-Driven Thresholding Statistically Biases ATN Profiling across Cohort Datasets.The journal of prevention of Alzheimer's disease · 2024
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors at 15 institutions in 9 countries.

Isabelle BosAlzheimer Centrum Limburg, Maastricht University, Maastricht, the Netherlands. isabelle.bos@maastrichtuniversity.nl.
Stephanie VosAlzheimer Centrum Limburg, Maastricht University, Maastricht, the Netherlands.
Rik VandenbergheUniversity Hospital Leuven, Leuven, Belgium.
Philip ScheltensAlzheimer Center and Department of Neurology, VU University Medical Center, Amsterdam, the Netherlands.
Sebastiaan EngelborghsReference Center for Biological Markers of Dementia (BIODEM), University of Antwerp, Antwerp, Belgium.
Giovanni FrisoniUniversity of Geneva, Geneva, Switzerland.
José Luis MolinuevoAlzheimer's Disease & Other Cognitive Disorders Unit, Hospital Clínic-IDIBAPS, Barcelona, Spain.
Anders WallinInstitute of Neuroscience and Physiology, Moelndal, Sweden.
Alberto LleóHospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Julius PoppGeriatric Psychiatry, Department of Mental Health and Psychiatry, Geneva University Hospitals, Geneva, Switzerland.
Pablo Martinez-LageCenter for Research and Advanced Therapies, CITA-Alzheimer Foundation, San Sebastian, Spain.
Alison BairdUniversity of Oxford, Oxford, UK.
Richard DobsonKing's College London, London, UK.
Cristina Legido-QuigleyKing's College London, London, UK.
Kristel SleegersNeurodegenerative Brain Diseases Group, VIB-Department of Molecular Genetics, Antwerp, Belgium.
Christine Van BroeckhovenNeurodegenerative Brain Diseases Group, VIB-Department of Molecular Genetics, Antwerp, Belgium.
Lars BertramLübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck, Lübeck, Germany.
Mara Ten KateAlzheimer Center and Department of Neurology, VU University Medical Center, Amsterdam, the Netherlands.
Frederik BarkhofDepartment of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands.
Henrik ZetterbergDepartment of Psychiatry and Neurochemistry, University of Gothenburg, Mölndal, Sweden.
Simon LovestoneUniversity of Oxford, Oxford, UK.
Johannes StrefferExperimental Medicine, Janssen Pharmaceutical Companies, Beerse, Belgium.
Pieter Jelle VisserAlzheimer Centrum Limburg, Maastricht University, Maastricht, the Netherlands.
Amsterdam UMC Location VUmc · NLMaastricht University · NLUniversity of Antwerp · BEUniversity of Oxford · GBCentro San Giovanni di Dio Fatebenefratelli · ITFarr Institute · GBFundacion CITA Alzheimer · ESHospital Clínic de Barcelona · ESHospital de Sant Pau · ESJanssen (Belgium) · BEKing's College London · GBKU Leuven · BEUniversity College London · GBUniversity Hospital of Lausanne · CHUniversity of Oslo · NO

Funding

Innovative Medicine Initiative 115372
6 · The paper itself

Abstract

backgroundThere 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.

methodsParticipants 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.

resultsWe 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.

conclusionsThe 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.

Indexed as

Research DesignAgedAged, 80 and overAlzheimer DiseaseAmyloid beta-PeptidesBiomarkersBiomedical ResearchChitinase-3-Like Protein 1Cognitive DysfunctionCohort StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeurofilament ProteinsAmyloid beta-PeptidesBiomarkersCHI3L1 protein, humanChitinase-3-Like Protein 1neurofilament protein LNeurofilament ProteinsNeurograninAlzheimer’s diseaseBiomarkersCerebrospinal fluidDNAGenomicsMagnetic resonance imagingMetabolomicsMultimodalPlasmaProteomics

Identifiers

PMID29980228
PMCPMC6035398
OpenAlexW2817955710

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.