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Oligomeric and phosphorylated alpha-synuclein as potential CSF biomarkers for Parkinson’s disease

Overview of attention for article published in Molecular Neurodegeneration, January 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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1 news outlet
twitter
1 X user
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9 patents
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

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196 Dimensions

Readers on

mendeley
246 Mendeley
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1 CiteULike
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Title
Oligomeric and phosphorylated alpha-synuclein as potential CSF biomarkers for Parkinson’s disease
Published in
Molecular Neurodegeneration, January 2016
DOI 10.1186/s13024-016-0072-9
Pubmed ID
Authors

Nour K. Majbour, Nishant N. Vaikath, Karin D. van Dijk, Mustafa T. Ardah, Shiji Varghese, Louise B. Vesterager, Liliana P. Montezinho, Stephen Poole, Bared Safieh-Garabedian, Takahiko Tokuda, Charlotte E. Teunissen, Henk W. Berendse, Wilma D. J. van de Berg, Omar M. A. El-Agnaf

Abstract

Despite decades of intensive research, to date, there is no accepted diagnosis for Parkinson's disease (PD) based on biochemical analysis of blood or CSF. However, neurodegeneration in the brains of PD patients begins several years before the manifestation of the clinical symptoms, pointing to serious flaw/limitations in this approach. To explore the potential use of alpha-synuclein (α-syn) species as candidate biomarkers for PD, we generated specific antibodies directed against wide array of α-syn species, namely total-, oligomeric- and phosphorylated-Ser129-α-syn (t-, o- and p-S129-α-syn). Next we sought to employ our antibodies to develop highly specific ELISA assays to quantify α-syn species in biological samples. Finally we verified the usefulness of our assays in CSF samples from 46 PD patients and 48 age-matched healthy controls. We also assessed the discriminating power of combining multiple CSF α-syn species with classical Alzheimer's disease biomarkers. The combination of CSF o-/t-α-syn, p-S129-α-syn and p-tau provided the best fitting predictive model for discriminating PD patients from controls. Moreover, CSF o-α-syn levels correlated significantly with the severity of PD motor symptoms (r = -0.37). Our new ELISA assays can serve as research tools to address the unmet need for reliable CSF biomarkers for PD and related disorders.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 246 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Unknown 244 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 18%
Researcher 40 16%
Student > Master 33 13%
Student > Bachelor 26 11%
Student > Doctoral Student 12 5%
Other 31 13%
Unknown 60 24%
Readers by discipline Count As %
Neuroscience 48 20%
Agricultural and Biological Sciences 32 13%
Medicine and Dentistry 28 11%
Biochemistry, Genetics and Molecular Biology 25 10%
Chemistry 10 4%
Other 30 12%
Unknown 73 30%
Attention Score in Context

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 05 March 2024.
All research outputs
#1,541,684
of 23,056,273 outputs
Outputs from Molecular Neurodegeneration
#119
of 857 outputs
Outputs of similar age
#29,254
of 395,676 outputs
Outputs of similar age from Molecular Neurodegeneration
#3
of 30 outputs
Altmetric has tracked 23,056,273 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 857 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done well, scoring higher than 86% 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 395,676 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.