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Synaptic proteins in CSF as potential novel biomarkers for prognosis in prodromal Alzheimer’s disease

Overview of attention for article published in Alzheimer's Research & Therapy, January 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)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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1 news outlet
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1 policy source
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1 X user
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1 patent

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142 Mendeley
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Title
Synaptic proteins in CSF as potential novel biomarkers for prognosis in prodromal Alzheimer’s disease
Published in
Alzheimer's Research & Therapy, January 2018
DOI 10.1186/s13195-017-0335-x
Pubmed ID
Authors

Flora H. Duits, Gunnar Brinkmalm, Charlotte E. Teunissen, Ann Brinkmalm, Philip Scheltens, Wiesje M. Van der Flier, Henrik Zetterberg, Kaj Blennow

Abstract

We investigated whether a panel of 12 potential novel biomarkers consisting of proteins involved in synapse functioning and immunity would be able to distinguish patients with Alzheimer's disease (AD) and patients with mild cognitive impairment (MCI) from control subjects. We included 40 control subjects, 40 subjects with MCI, and 40 subjects with AD from the Amsterdam Dementia Cohort who were matched for age and sex (age 65 ± 5 years, 19 [48%] women). The mean follow-up of patients with MCI was 3 years. Two or three tryptic peptides per protein were analyzed in cerebrospinal fluid using parallel reaction monitoring mass spectrometry. Corresponding stable isotope-labeled peptides were added and used as reference peptides. Multilevel generalized estimating equations (GEEs) with peptides clustered per subject and per protein (as within-subject variables) were used to assess differences between diagnostic groups. To assess differential effects of individual proteins, we included the diagnosis × protein interaction in the model. Separate GEE analyses were performed to assess differences between stable patients and patients with progressive MCI (MCI-AD). There was a main effect for diagnosis (p < 0.01) and an interaction between diagnosis and protein (p < 0.01). Analysis stratified according to protein showed higher levels in patients with MCI for most proteins, especially in patients with MCI-AD. Chromogranin A, secretogranin II, neurexin 3, and neuropentraxin 1 showed the largest effect sizes; β values ranged from 0.53 to 0.78 for patients with MCI versus control subjects or patients with AD, and from 0.67 to 0.98 for patients with MCI-AD versus patients with stable MCI. In contrast, neurosecretory protein VGF was lower in patients with AD than in patients with MCI (ß = -0.93 [SE 0.22]) and control subjects (ß = 0.46 [SE 0.19]). Our results suggest that several proteins involved in vesicular transport and synaptic stability are elevated in patients with MCI, especially in patients with MCI progressing to AD dementia. This may reflect early events in the AD pathophysiological cascade. These proteins may be valuable as disease stage or prognostic markers in an early symptomatic stage of the disease.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 142 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 15%
Student > Ph. D. Student 20 14%
Student > Master 18 13%
Student > Bachelor 12 8%
Student > Doctoral Student 8 6%
Other 21 15%
Unknown 42 30%
Readers by discipline Count As %
Neuroscience 24 17%
Biochemistry, Genetics and Molecular Biology 17 12%
Medicine and Dentistry 15 11%
Agricultural and Biological Sciences 12 8%
Unspecified 5 4%
Other 16 11%
Unknown 53 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 29 September 2022.
All research outputs
#2,152,737
of 25,002,811 outputs
Outputs from Alzheimer's Research & Therapy
#441
of 1,418 outputs
Outputs of similar age
#52,586
of 485,958 outputs
Outputs of similar age from Alzheimer's Research & Therapy
#7
of 36 outputs
Altmetric has tracked 25,002,811 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,418 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has gotten more attention than average, scoring higher than 68% 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 485,958 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 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.