| Title |
The interplay of microRNAs and post-ischemic glutamate excitotoxicity: an emergent research field in stroke medicine
|
|---|---|
| Published in |
Neurological Sciences, June 2016
|
| DOI | 10.1007/s10072-016-2643-5 |
| Pubmed ID | |
| Authors |
Alireza Majdi, Javad Mahmoudi, Saeed Sadigh-Eteghad, Mehdi Farhoudi, Siamak Sandoghchian Shotorbani |
| Abstract |
Stroke is the second leading cause of death and the most common cause of adult disabilities among elderlies. It involves a complex series of mechanisms among which, excitotoxicity is of great importance. Also, miRNAs appear to play role in post-stroke excitotoxicity, and changes in their transcriptome occur right after cerebral ischemia. Recent data indicate that specific miRNAs such as miRNA-223, miRNA-181, miRNA-125a, miRNA-125b, miRNA-1000, miRNA-132 and miRNA-124a regulate glutamate neurotransmission and excitotoxicity during stroke. However, limitations such as poor in vivo stability, side effects and inappropriate biodistribution in miRNA-based therapies still exist and should be overcome before clinical application. Thence, investigation of the effect of application of these miRNAs after the onset of ischemia is a pivotal step for manipulating these miRNAs in clinical use. Given this, present review concentrates on miRNAs roles in post-ischemic stroke excitotoxicity. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 3% |
| Unknown | 35 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 17% |
| Student > Postgraduate | 4 | 11% |
| Student > Bachelor | 4 | 11% |
| Researcher | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Other | 8 | 22% |
| Unknown | 8 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 11 | 31% |
| Medicine and Dentistry | 8 | 22% |
| Biochemistry, Genetics and Molecular Biology | 5 | 14% |
| Agricultural and Biological Sciences | 2 | 6% |
| Veterinary Science and Veterinary Medicine | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 9 | 25% |