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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Label-Free Proteomic Analysis of Protein Changes in the Striatum during Chronic Ethanol Use and Early Withdrawal
|
|---|---|
| Published in |
Frontiers in Behavioral Neuroscience, March 2016
|
| DOI | 10.3389/fnbeh.2016.00046 |
| Pubmed ID | |
| Authors |
Jennifer R. Ayers-Ringler, Alfredo Oliveros, Yanyan Qiu, Daniel M. Lindberg, David J. Hinton, Raymond M. Moore, Surendra Dasari, Doo-Sup Choi |
| Abstract |
The molecular mechanisms underlying the neuronal signaling changes in alcohol addiction and withdrawal are complex and multifaceted. The cortico-striatal circuit is highly implicated in these processes, and the striatum plays a significant role not only in the early stages of addiction, but in the developed-addictive state as well, including withdrawal symptoms. Transcriptional analysis is a useful method for determining changes in gene expression, however, the results do not always accurately correlate with protein levels. In this study, we employ label-free proteomic analysis to determine changes in protein expression within the striatum during chronic ethanol use and early withdrawal. The striatum, composed primarily of medium spiny GABAergic neurons, glutamatergic and dopaminergic nerve terminals and astrocytes, is relatively homogeneous for proteomic analysis. We were able to analyze more than 5000 proteins from both the dorsal (caudate and putamen) and ventral (nucleus accumbens) striatum and identified significant changes following chronic intermittent ethanol exposure and acute (8 h) withdrawal compared to ethanol naïve and ethanol exposure groups respectively. Our results showed significant changes in proteins involved in glutamate and opioid peptide signaling, and also uncovered novel pathways including mitochondrial function and lipid/cholesterol metabolism, as revealed by changes in electron transport chain proteins and RXR activation pathways. These results will be useful in the development of novel treatments for alcohol withdrawal and thereby aid in recovery from alcohol use disorder. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 19% |
| Student > Ph. D. Student | 5 | 19% |
| Other | 3 | 12% |
| Student > Bachelor | 3 | 12% |
| Student > Master | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 5 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 19% |
| Neuroscience | 5 | 19% |
| Biochemistry, Genetics and Molecular Biology | 4 | 15% |
| Medicine and Dentistry | 2 | 8% |
| Immunology and Microbiology | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 6 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 March 2016.
All research outputs
#17,793,546
of 22,856,968 outputs
Outputs from Frontiers in Behavioral Neuroscience
#2,416
of 3,178 outputs
Outputs of similar age
#204,257
of 299,532 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#54
of 76 outputs
Altmetric has tracked 22,856,968 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,178 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 299,532 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.