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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Inhibition of HIF-1α Reduced Blood Brain Barrier Damage by Regulating MMP-2 and VEGF During Acute Cerebral Ischemia
|
|---|---|
| Published in |
Frontiers in Cellular Neuroscience, September 2018
|
| DOI | 10.3389/fncel.2018.00288 |
| Pubmed ID | |
| Authors |
Yufei Shen, Jingxia Gu, Ziyun Liu, Congying Xu, Shuxia Qian, Xiaoling Zhang, Beiqun Zhou, Qiaobing Guan, Yanyun Sun, Yanping Wang, Xinchun Jin |
| Abstract |
Increase of blood brain barrier (BBB) permeability after acute ischemia stroke is a predictor to intracerebral hemorrhage transformation (HT) for tissue plasminogen activator (tPA) thrombolysis and post-endovascular treatment. Previous studies showed that 2-h ischemia induced damage of BBB integrity and matrix metalloproteinase-2 (MMP-2) made major contribution to this disruption. A recent study showed that blocking β2-adrenergic receptor (β2-AR) alleviated ischemia-induced BBB injury by reducing hypoxia-inducible factor-1 alpha (HIF-1α) level. In this study, we sought to investigate the interaction of HIF-1α with MMP-2 and vascular endothelial growth factor (VEGF) in BBB injury after acute ischemia stroke. Rat suture middle cerebral artery occlusion (MCAO) model was used to mimic ischemia condition. Our results showed that ischemia produced BBB damage and MMP-2/9 upregulation was colocalized with Rhodamine-dextran leakage. Pretreatment with YC-1, a HIF-1α inhibitor, alleviated 2-h ischemia-induced BBB injury significantly accompanied by decrease of MMP-2 upregulation. In addition, YC-1 also prevented VEGF-induced BBB damage. Of note, VEGF was shown to be colocalized with neurons but not astrocytes. Taken together, BBB damage was reduced by inhibition of interaction of HIF-1α with MMP-2 and VEGF during acute cerebral ischemia. These findings provide mechanisms underlying BBB damage after acute ischemia stroke and may help reduce thrombolysis- and post-endovascular treatment-related cerebral hemorrhage. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 17% |
| Student > Ph. D. Student | 7 | 15% |
| Student > Bachelor | 5 | 11% |
| Professor | 4 | 9% |
| Professor > Associate Professor | 4 | 9% |
| Other | 7 | 15% |
| Unknown | 11 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 10 | 22% |
| Pharmacology, Toxicology and Pharmaceutical Science | 9 | 20% |
| Medicine and Dentistry | 5 | 11% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 10 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 21 September 2018.
All research outputs
#17,576,385
of 26,557,909 outputs
Outputs from Frontiers in Cellular Neuroscience
#2,736
of 4,824 outputs
Outputs of similar age
#216,808
of 349,531 outputs
Outputs of similar age from Frontiers in Cellular Neuroscience
#108
of 155 outputs
Altmetric has tracked 26,557,909 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,824 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 38th percentile – i.e., 38% 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 349,531 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 155 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.