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A Role for GDNF and Soluble APP as Biomarkers of Amyotrophic Lateral Sclerosis Pathophysiology

Overview of attention for article published in Frontiers in Neurology, May 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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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1 news outlet
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2 X users

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Title
A Role for GDNF and Soluble APP as Biomarkers of Amyotrophic Lateral Sclerosis Pathophysiology
Published in
Frontiers in Neurology, May 2018
DOI 10.3389/fneur.2018.00384
Pubmed ID
Authors

Serena Stanga, Liliana Brambilla, Bernadette Tasiaux, Anh H. Dang, Adrian Ivanoiu, Jean-Noël Octave, Daniela Rossi, Vincent van Pesch, Pascal Kienlen-Campard

Abstract

The current inability of clinical criteria to accurately identify the "at-risk group" for Amyotrophic Lateral Sclerosis (ALS) development as well as its unknown etiology are fueling the interest in biomarkers aimed at completing clinical approaches for the diagnosis. The Glial cell line-derived neurotrophic factor (GDNF) is a diffusible peptide critically involved in neuronal differentiation and survival. GDNF is largely studied in various neurological and neuromuscular diseases, with a great interest in the peripheral nervous system (PNS). The recent discovery of Amyloid Precursor Protein (APP)-dependent GDNF regulation driving neuro-muscular junctions' formation in APP null transgenic mice, prompts to study whether neurodegeneration relies on loss or gain of APP function and suggests that it could affect peripheral processes. Here, we explored a brand-new aspect of the loss of trophic support in ALS by measuring GDNF, APP, soluble APP fragments and Aβ peptides levels in SOD1WT or SOD1G93A transgenic mouse models of ALS and in human biological fluids [i.e. serum and cerebrospinal fluid (CSF)] from ALS patients and control subjects. Our results show that both GDNF and soluble APP fragments levels are altered at the onset of motor deficits in mice and that their levels are also modified in patient samples. This study indicates that both GDNF and soluble APPα represent possible biomarkers for ALS.

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The data shown below were collected from the profiles of 2 X users 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 14%
Student > Bachelor 6 14%
Researcher 4 9%
Student > Master 4 9%
Other 2 5%
Other 7 16%
Unknown 15 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 16%
Neuroscience 6 14%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Engineering 2 5%
Medicine and Dentistry 2 5%
Other 6 14%
Unknown 19 43%
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 22 June 2018.
All research outputs
#2,921,938
of 23,081,466 outputs
Outputs from Frontiers in Neurology
#1,881
of 11,986 outputs
Outputs of similar age
#62,273
of 331,094 outputs
Outputs of similar age from Frontiers in Neurology
#34
of 308 outputs
Altmetric has tracked 23,081,466 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 11,986 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 83% 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 331,094 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 81% of its contemporaries.
We're also able to compare this research output to 308 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.