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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A53T-α-synuclein overexpression in murine locus coeruleus induces Parkinson’s disease-like pathology in neurons and glia
|
|---|---|
| Published in |
Acta Neuropathologica Communications, May 2018
|
| DOI | 10.1186/s40478-018-0541-1 |
| Pubmed ID | |
| Authors |
Martin Timo Henrich, Fanni Fruzsina Geibl, Bolam Lee, Wei-Hua Chiu, James Benjamin Koprich, Jonathan Michael Brotchie, Lars Timmermann, Niels Decher, Lina Anita Matschke, Wolfgang Hermann Oertel |
| Abstract |
Degeneration of noradrenergic locus coeruleus neurons occurs during the prodromal phase of Parkinson's disease and contributes to a variety of non-motor symptoms, e.g. depression, anxiety and REM sleep behavior disorder. This study was designed to establish the first locus coeruleus α-synucleinopathy mouse model, which should provide sufficient information about the time-course of noradrenergic neurodegeneration, replicate cardinal histopathological features of the human Parkinson's disease neuropathology and finally lead to robust histological markers, which are sufficient to assess the pathological changes in a quantitative and qualitative way. We show that targeted viral vector-mediated overexpression of human mutant A53T-α-synuclein in vivo in locus coeruleus neurons of wild-type mice resulted in progressive noradrenergic neurodegeneration over a time frame of 9 weeks. Observed neuronal cell loss was accompanied by progressive α-synuclein phosphorylation, formation of proteinase K-resistant α-synuclein-aggregates, accumulation of Ubi-1- and p62-positive inclusions in microglia and induction of progressive micro- and astrogliosis. Apart from this local pathology, abundant α-synuclein-positive axons were found in locus coeruleus output regions, indicating rapid anterograde axonal transport of A53T-α-synuclein. Taken together, we present the first model of α-synucleinopathy in the murine locus coeruleus, replicating essential morphological features of human Parkinson's disease pathology. This new model may contribute to the research on prodromal Parkinson's disease, in respect to pathophysiology and the development of disease-modifying therapy. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 122 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 16% |
| Researcher | 19 | 16% |
| Student > Bachelor | 18 | 15% |
| Student > Master | 10 | 8% |
| Student > Doctoral Student | 7 | 6% |
| Other | 16 | 13% |
| Unknown | 32 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 37 | 30% |
| Medicine and Dentistry | 14 | 11% |
| Biochemistry, Genetics and Molecular Biology | 13 | 11% |
| Agricultural and Biological Sciences | 13 | 11% |
| Business, Management and Accounting | 3 | 2% |
| Other | 9 | 7% |
| Unknown | 33 | 27% |
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 31 May 2019.
All research outputs
#2,979,946
of 23,047,237 outputs
Outputs from Acta Neuropathologica Communications
#596
of 1,394 outputs
Outputs of similar age
#62,809
of 326,024 outputs
Outputs of similar age from Acta Neuropathologica Communications
#13
of 25 outputs
Altmetric has tracked 23,047,237 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,394 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has gotten more attention than average, scoring higher than 54% 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 326,024 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 80% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.