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

Overview of attention for article published in Alzheimer's Research & Therapy, July 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

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2 news outlets
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9 tweeters

Citations

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25 Dimensions

Readers on

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76 Mendeley
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Title
The EMIF-AD Multimodal Biomarker Discovery study: design, methods and cohort characteristics
Published in
Alzheimer's Research & Therapy, July 2018
DOI 10.1186/s13195-018-0396-5
Pubmed ID
Authors

Isabelle Bos, Stephanie Vos, Rik Vandenberghe, Philip Scheltens, Sebastiaan Engelborghs, Giovanni Frisoni, José Luis Molinuevo, Anders Wallin, Alberto Lleó, Julius Popp, Pablo Martinez-Lage, Alison Baird, Richard Dobson, Cristina Legido-Quigley, Kristel Sleegers, Christine Van Broeckhoven, Lars Bertram, Mara ten Kate, Frederik Barkhof, Henrik Zetterberg, Simon Lovestone, Johannes Streffer, Pieter Jelle Visser

Abstract

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. 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. 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. 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.

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 18%
Researcher 14 18%
Student > Ph. D. Student 14 18%
Student > Bachelor 6 8%
Student > Doctoral Student 3 4%
Other 9 12%
Unknown 16 21%
Readers by discipline Count As %
Medicine and Dentistry 12 16%
Neuroscience 11 14%
Psychology 8 11%
Agricultural and Biological Sciences 7 9%
Biochemistry, Genetics and Molecular Biology 7 9%
Other 8 11%
Unknown 23 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 August 2018.
All research outputs
#809,707
of 13,801,769 outputs
Outputs from Alzheimer's Research & Therapy
#96
of 618 outputs
Outputs of similar age
#28,713
of 270,936 outputs
Outputs of similar age from Alzheimer's Research & Therapy
#1
of 1 outputs
Altmetric has tracked 13,801,769 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 618 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 270,936 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them