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Identification of novel CSF biomarkers for neurodegeneration and their validation by a high-throughput multiplexed targeted proteomic assay

Overview of attention for article published in Molecular Neurodegeneration, December 2015
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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1 news outlet
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10 X users
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2 patents

Citations

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122 Dimensions

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223 Mendeley
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Title
Identification of novel CSF biomarkers for neurodegeneration and their validation by a high-throughput multiplexed targeted proteomic assay
Published in
Molecular Neurodegeneration, December 2015
DOI 10.1186/s13024-015-0059-y
Pubmed ID
Authors

Wendy E. Heywood, Daniela Galimberti, Emily Bliss, Ernestas Sirka, Ross W. Paterson, Nadia K. Magdalinou, Miryam Carecchio, Emma Reid, Amanda Heslegrave, Chiara Fenoglio, Elio Scarpini, Jonathan M. Schott, Nick C. Fox, John Hardy, Kailash Bahtia, Simon Heales, Neil J. Sebire, Henrik Zetterburg, Kevin Mills

Abstract

Currently there are no effective treatments for many neurodegenerative diseases. Reliable biomarkers for identifying and stratifying these diseases will be important in the development of future novel therapies. Lewy Body Dementia (LBD) is considered an under diagnosed form of dementia for which markers are needed to discriminate LBD from other forms of dementia such as Alzheimer's Disease (AD). This work describes a Label-Free proteomic profiling analysis of cerebral spinal fluid (CSF) from non-neurodegenerative controls and patients with LBD. Using this technology we identified several potential novel markers for LBD. These were then combined with other biomarkers from previously published studies, to create a 10 min multiplexed targeted and translational MRM-LC-MS/MS assay. This test was used to validate our new assay in a larger cohort of samples including controls and the other neurodegenerative conditions of Alzheimer's and Parkinson's disease (PD). Thirty eight proteins showed significantly (p < 0.05) altered expression in LBD CSF by proteomic profiling. The targeted MRM-LC-MS/MS assay revealed 4 proteins that were specific for the identification of AD from LBD: ectonucleotide pyrophosphatase/phosphodiesterase 2 (p < 0.0001), lysosome-associated membrane protein 1 (p < 0.0001), pro-orexin (p < 0.0017) and transthyretin (p < 0.0001). Nineteen proteins were elevated significantly in both AD and LBD versus the control group of which 4 proteins are novel (malate dehydrogenase 1, serum amyloid A4, GM2-activator protein, and prosaposin). Protein-DJ1 was only elevated significantly in the PD group and not in either LBD or AD samples. Correlations with Alzheimer-associated amyloid β-42 levels, determined by ELISA, were observed for transthyretin, GM2 activator protein and IGF2 in the AD disease group (r(2) ≥ 0.39, p ≤ 0.012). Cystatin C, ubiquitin and osteopontin showed a strong significant linear relationship (r(2) ≥ 0.4, p ≤ 0.03) with phosphorylated-tau levels in all groups, whilst malate dehydrogenase and apolipoprotein E demonstrated a linear relationship with phosphorylated-tau and total-tau levels in only AD and LBD disease groups. Using proteomics we have identified several potential and novel markers of neurodegeneration and subsequently validated them using a rapid, multiplexed mass spectral test. This targeted proteomic platform can measure common markers of neurodegeneration that correlate with existing diagnostic makers as well as some that have potential to show changes between AD from LBD.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 223 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
United Kingdom 1 <1%
Russia 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 218 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 20%
Researcher 38 17%
Student > Master 32 14%
Student > Bachelor 17 8%
Student > Postgraduate 10 4%
Other 34 15%
Unknown 48 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 35 16%
Agricultural and Biological Sciences 32 14%
Neuroscience 31 14%
Medicine and Dentistry 27 12%
Pharmacology, Toxicology and Pharmaceutical Science 9 4%
Other 33 15%
Unknown 56 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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
#1,893,348
of 25,196,456 outputs
Outputs from Molecular Neurodegeneration
#195
of 960 outputs
Outputs of similar age
#31,347
of 399,974 outputs
Outputs of similar age from Molecular Neurodegeneration
#4
of 29 outputs
Altmetric has tracked 25,196,456 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.4. This one has done well, scoring higher than 79% 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 399,974 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 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.