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CSF biomarkers associated with disease heterogeneity in early Parkinson’s disease: the Parkinson’s Progression Markers Initiative study

Overview of attention for article published in Acta Neuropathologica, March 2016
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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 (83rd percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 news outlet
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Citations

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163 Dimensions

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207 Mendeley
Title
CSF biomarkers associated with disease heterogeneity in early Parkinson’s disease: the Parkinson’s Progression Markers Initiative study
Published in
Acta Neuropathologica, March 2016
DOI 10.1007/s00401-016-1552-2
Pubmed ID
Authors

Ju-Hee Kang, Brit Mollenhauer, Christopher S. Coffey, Jon B. Toledo, Daniel Weintraub, Douglas R. Galasko, David J. Irwin, Vivianna Van Deerlin, Alice S. Chen-Plotkin, Chelsea Caspell-Garcia, Teresa Waligórska, Peggy Taylor, Nirali Shah, Sarah Pan, Pawel Zero, Mark Frasier, Kenneth Marek, Karl Kieburtz, Danna Jennings, Caroline M. Tanner, Tanya Simuni, Andrew Singleton, Arthur W. Toga, Sohini Chowdhury, John Q. Trojanowski, Leslie M. Shaw, The Parkinson’s Progression Marker Initiative

Abstract

The development of biomarkers to predict the progression of Parkinson's disease (PD) from its earliest stage through its heterogeneous course is critical for research and therapeutic development. The Parkinson's Progression Markers Initiative (PPMI) study is an ongoing international multicenter, prospective study to validate biomarkers in drug-naïve PD patients and matched healthy controls (HC). We quantified cerebrospinal fluid (CSF) alpha-synuclein (α-syn), amyloid-beta1-42 (Aβ1-42), total tau (t-tau), and tau phosphorylated at Thr181 (p-tau) in 660 PPMI subjects at baseline, and correlated these data with measures of the clinical features of these subjects. We found that CSF α-syn, t-tau and p-tau levels, but not Aβ1-42, were significantly lower in PD compared with HC, while the diagnostic value of the individual CSF biomarkers for PD diagnosis was limited due to large overlap. The level of α-syn, but not other biomarkers, was significantly lower in PD patients with non-tremor-dominant phenotype compared with tremor-dominant phenotype. In addition, in PD patients the lowest Aβ1-42, or highest t-tau/Aβ1-42 and t-tau/α-syn quintile in PD patients were associated with more severe non-motor dysfunction compared with the highest or lowest quintiles, respectively. In a multivariate regression model, lower α-syn was significantly associated with worse cognitive test performance. APOE ε4 genotype was associated with lower levels of Aβ1-42, but neither with PD diagnosis nor cognition. Our data suggest that the measurement of CSF biomarkers in early-stage PD patients may relate to disease heterogeneity seen in PD. Longitudinal observations in PPMI subjects are needed to define their prognostic performance.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Canada 1 <1%
Austria 1 <1%
Unknown 203 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 44 21%
Student > Ph. D. Student 31 15%
Student > Master 24 12%
Student > Doctoral Student 19 9%
Student > Bachelor 13 6%
Other 38 18%
Unknown 38 18%
Readers by discipline Count As %
Neuroscience 45 22%
Medicine and Dentistry 35 17%
Agricultural and Biological Sciences 18 9%
Biochemistry, Genetics and Molecular Biology 15 7%
Psychology 10 5%
Other 29 14%
Unknown 55 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 09 April 2016.
All research outputs
#2,885,241
of 22,858,915 outputs
Outputs from Acta Neuropathologica
#727
of 2,372 outputs
Outputs of similar age
#48,722
of 301,265 outputs
Outputs of similar age from Acta Neuropathologica
#17
of 31 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,372 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 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 301,265 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 83% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.