| Title |
Downregulation of 14-3-3 Proteins in Alzheimer’s Disease
|
|---|---|
| Published in |
Molecular Neurobiology, September 2019
|
| DOI | 10.1007/s12035-019-01754-y |
| Pubmed ID | |
| Authors |
Qiang Gu, Elvis Cuevas, James Raymick, Jyotshna Kanungo, Sumit Sarkar |
| Abstract |
One of the most abundant proteins expressed in the brain, 14-3-3 comprises about 1% of the brain's total soluble proteins. The 14-3-3 isoforms bind to specific phosphoserine- and phosphothreonine-containing motifs found on a variety of signaling proteins (kinases and transcription factors, among others) to regulate a wide array of cellular processes including cell cycling, apoptosis, and autophagy. Previously, we described the expression of different 14-3-3 isoforms in the rat frontal cortex and reported their downregulation in a rodent model of neurodegeneration. To further investigate possible roles of 14-3-3 proteins in neurodegeneration, the present study examined different 14-3-3 isoforms in the frontal cortex of postmortem Alzheimer's disease (AD) patients and control subjects. Among the different 14-3-3 isoforms in the human frontal cortex, the relative abundance of expression is in the following order: 14-3-3-eta > tau > sigma > gamma > epsilon > zeta/delta > beta/alpha. These relative abundance levels of different 14-3-3 isoforms in human frontal cortex closely resemble those in rat frontal cortex, suggesting a conserved expression pattern of different 14-3-3 isoforms in mammalian species. In the AD samples, there was a significant decrease in total 14-3-3 levels and the 14-3-3-eta and 14-3-3-gamma isoforms, while no significant difference in the expression level of other 14-3-3 isoforms between AD and control brains was detected. Together, these results demonstrate an abundance of several 14-3-3 isoforms in the frontal cortex and that a downregulation of total 14-3-3 protein levels and specific 14-3-3 isoforms is associated with neurodegeneration. Given the known function of 14-3-3 proteins as inhibitors of apoptosis, the present results suggest that 14-3-3 proteins may play an important role in neurodegeneration and deserve further investigations into AD and other neurodegenerative disorders. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 16% |
| Student > Master | 8 | 14% |
| Researcher | 6 | 11% |
| Student > Bachelor | 5 | 9% |
| Student > Doctoral Student | 4 | 7% |
| Other | 9 | 16% |
| Unknown | 15 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 18% |
| Agricultural and Biological Sciences | 10 | 18% |
| Neuroscience | 8 | 14% |
| Chemistry | 4 | 7% |
| Engineering | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 16 | 29% |
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 30 April 2020.
All research outputs
#2,810,539
of 23,155,957 outputs
Outputs from Molecular Neurobiology
#384
of 3,504 outputs
Outputs of similar age
#58,850
of 340,674 outputs
Outputs of similar age from Molecular Neurobiology
#6
of 50 outputs
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So far Altmetric has tracked 3,504 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 88% of its peers.
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