Title |
Dopamine Induced Neurodegeneration in a PINK1 Model of Parkinson's Disease
|
---|---|
Published in |
PLOS ONE, May 2012
|
DOI | 10.1371/journal.pone.0037564 |
Pubmed ID | |
Authors |
Sonia Gandhi, Annika Vaarmann, Zhi Yao, Michael R. Duchen, Nicholas W. Wood, Andrey Y. Abramov |
Abstract |
Parkinson's disease is a common neurodegenerative disease characterised by progressive loss of dopaminergic neurons, leading to dopamine depletion in the striatum. Mutations in the PINK1 gene cause an autosomal recessive form of Parkinson's disease. Loss of PINK1 function causes mitochondrial dysfunction, increased reactive oxygen species production and calcium dysregulation, which increases susceptibility to neuronal death in Parkinson's disease. The basis of neuronal vulnerability to dopamine in Parkinson's disease is not well understood. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 2% |
United Kingdom | 2 | 2% |
Australia | 1 | <1% |
Italy | 1 | <1% |
India | 1 | <1% |
United States | 1 | <1% |
Unknown | 102 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 29 | 26% |
Student > Bachelor | 16 | 15% |
Researcher | 15 | 14% |
Student > Master | 11 | 10% |
Professor | 6 | 5% |
Other | 19 | 17% |
Unknown | 14 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 37 | 34% |
Neuroscience | 18 | 16% |
Biochemistry, Genetics and Molecular Biology | 13 | 12% |
Engineering | 9 | 8% |
Medicine and Dentistry | 9 | 8% |
Other | 8 | 7% |
Unknown | 16 | 15% |