| Title |
Immunomodulatory Effect of Toll-Like Receptor-3 Ligand Poly I:C on Cortical Spreading Depression
|
|---|---|
| Published in |
Molecular Neurobiology, November 2014
|
| DOI | 10.1007/s12035-014-8995-z |
| Pubmed ID | |
| Authors |
Amir Ghaemi, Azadeh Sajadian, Babak Khodaie, Ahmad Ali Lotfinia, Mahmoud Lotfinia, Afsaneh Aghabarari, Maryam Khaleghi Ghadiri, Sven Meuth, Ali Gorji |
| Abstract |
The release of inflammatory mediators following cortical spreading depression (CSD) is suggested to play a role in pathophysiology of CSD-related neurological disorders. Toll-like receptors (TLR) are master regulators of innate immune function and involved in the activation of inflammatory responses in the brain. TLR3 agonist poly I:C exerts anti-inflammatory effect and prevents cell injury in the brain. The aim of the present study was to examine the effect of systemic administration of poly I:C on the release of cytokines (TNF-α, IFN-γ, IL-4, TGF-β1, and GM-CSF) in the brain and spleen, splenic lymphocyte proliferation, expression of GAD65, GABAAα, GABAAβ as well as Hsp70, and production of dark neurons after induction of repetitive CSD in juvenile rats. Poly I:C significantly attenuated CSD-induced production of TNF-α and IFN-γ in the brain as well as TNF-α and IL-4 in the spleen. Poly I:C did not affect enhancement of splenic lymphocyte proliferation after CSD. Administration of poly I:C increased expression of GABAAα, GABAAβ as well as Hsp70 and decreased expression of GAD65 in the entorhinal cortex compared to CSD-treated tissues. In addition, poly I:C significantly prevented production of CSD-induced dark neurons. The data indicate neuroprotective and anti-inflammatory effects of TLR3 activation on CSD-induced neuroinflammation. Targeting TLR3 may provide a novel strategy for developing new treatments for CSD-related neurological disorders. |
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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 18% |
| Researcher | 8 | 16% |
| Other | 6 | 12% |
| Student > Master | 6 | 12% |
| Student > Doctoral Student | 4 | 8% |
| Other | 13 | 25% |
| Unknown | 5 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 12 | 24% |
| Medicine and Dentistry | 12 | 24% |
| Psychology | 5 | 10% |
| Immunology and Microbiology | 5 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 9 | 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 25 November 2014.
All research outputs
#20,243,777
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Outputs from Molecular Neurobiology
#2,778
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Outputs of similar age
#302,917
of 361,726 outputs
Outputs of similar age from Molecular Neurobiology
#51
of 80 outputs
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