| Title |
Fluoxetine Upregulates Phosphorylated-AKT and Phosphorylated-ERK1/2 Proteins in Neural Stem Cells: Evidence for a Crosstalk between AKT and ERK1/2 Pathways
|
|---|---|
| Published in |
Journal of Molecular Neuroscience, June 2012
|
| DOI | 10.1007/s12031-012-9822-5 |
| Pubmed ID | |
| Authors |
Wen Huang, Yu Zhao, Xiaofeng Zhu, Zhiyou Cai, Shijun Wang, Shengtao Yao, Zhiguo Qi, Peng Xie |
| Abstract |
Fluoxetine is a widely used antidepressant drug which inhibits the reuptake of serotonin in the central nervous system (CNS). Recent studies have shown that fluoxetine can promote neurogenesis and improve the survival rate of neurons. However, whether fluoxetine modulates the neuroprotection of neural stem cells (NSCs) needs to be elucidated. In this study, we demonstrated that 50 μM fluoxetine significantly upregulated expression of the phosphorylated-AKT and ERK1/2 proteins in NSCs derived from rats. Besides, expression of phosphorylated-AKT and phosphorylated-ERK1/2 in fluoxetine-treated NSCs was effectively blocked (P<0.05) by both PI3-K inhibitor (LY294002) and MEK inhibitor (PD98059). It was, therefore, concluded that the crosstalk between PI3K/AKT and MAPK/ERK pathways involved AKT and ERK1/2 phosphorylation by fluoxetine treatment. This study points to a novel role of fluoxetine in neuroprotection as an antidepressant drug and also unravels the crosstalk mechanism between the two signaling pathways. |
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 % |
|---|---|---|
| United States | 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Unknown | 37 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 23% |
| Researcher | 8 | 21% |
| Student > Master | 6 | 15% |
| Student > Bachelor | 4 | 10% |
| Professor | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 5 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 21% |
| Neuroscience | 8 | 21% |
| Biochemistry, Genetics and Molecular Biology | 5 | 13% |
| Medicine and Dentistry | 5 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 8% |
| Other | 3 | 8% |
| Unknown | 7 | 18% |
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 08 June 2012.
All research outputs
#22,759,452
of 25,373,627 outputs
Outputs from Journal of Molecular Neuroscience
#1,330
of 1,643 outputs
Outputs of similar age
#164,012
of 180,772 outputs
Outputs of similar age from Journal of Molecular Neuroscience
#24
of 25 outputs
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