↓ Skip to main content

Common mechanisms in neurodegeneration and neuroinflammation: a BrainNet Europe gene expression microarray study

Overview of attention for article published in Journal of Neural Transmission, August 2014
Altmetric Badge

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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
patent
3 patents

Readers on

mendeley
206 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Common mechanisms in neurodegeneration and neuroinflammation: a BrainNet Europe gene expression microarray study
Published in
Journal of Neural Transmission, August 2014
DOI 10.1007/s00702-014-1293-0
Pubmed ID
Authors

Pascal F. Durrenberger, Francesca S. Fernando, Samira N. Kashefi, Tim P. Bonnert, Danielle Seilhean, Brahim Nait-Oumesmar, Andrea Schmitt, Peter J. Gebicke-Haerter, Peter Falkai, Edna Grünblatt, Miklos Palkovits, Thomas Arzberger, Hans Kretzschmar, David T. Dexter, Richard Reynolds

Abstract

Neurodegenerative diseases of the central nervous system are characterized by pathogenetic cellular and molecular changes in specific areas of the brain that lead to the dysfunction and/or loss of explicit neuronal populations. Despite exhibiting different clinical profiles and selective neuronal loss, common features such as abnormal protein deposition, dysfunctional cellular transport, mitochondrial deficits, glutamate excitotoxicity, iron accumulation and inflammation are observed in many neurodegenerative disorders, suggesting converging pathways of neurodegeneration. We have generated comparative genome-wide gene expression data, using the Illumina HumanRef 8 Beadchip, for Alzheimer's disease, amyotrophic lateral sclerosis, Huntington's disease, multiple sclerosis, Parkinson's disease, and schizophrenia using an extensive cohort (n = 113) of well-characterized post-mortem brain tissues. The analysis of whole-genome expression patterns across these major disorders offers an outstanding opportunity not only to look into exclusive disease-specific changes, but more importantly to look for potential common molecular pathogenic mechanisms. Surprisingly, no dysregulated gene that passed our selection criteria was found in common across all six diseases. However, 61 dysregulated genes were shared when comparing five and four diseases. The few genes highlighted by our direct gene comparison analysis hint toward common neuronal homeostatic, survival and synaptic plasticity pathways. In addition, we report changes to several inflammation-related genes in all diseases. This work is supportive of a general role of the innate immune system in the pathogenesis and/or response to neurodegeneration.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Australia 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Luxembourg 1 <1%
Unknown 200 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 18%
Researcher 32 16%
Student > Master 32 16%
Student > Bachelor 15 7%
Student > Doctoral Student 11 5%
Other 37 18%
Unknown 41 20%
Readers by discipline Count As %
Medicine and Dentistry 35 17%
Neuroscience 32 16%
Agricultural and Biological Sciences 26 13%
Biochemistry, Genetics and Molecular Biology 16 8%
Psychology 13 6%
Other 33 16%
Unknown 51 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 30 January 2024.
All research outputs
#3,505,721
of 24,393,299 outputs
Outputs from Journal of Neural Transmission
#251
of 1,873 outputs
Outputs of similar age
#34,747
of 235,913 outputs
Outputs of similar age from Journal of Neural Transmission
#5
of 30 outputs
Altmetric has tracked 24,393,299 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,873 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. 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 235,913 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 85% 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 well, scoring higher than 86% of its contemporaries.