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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Valproic Acid Induces Endothelial-to-Mesenchymal Transition-Like Phenotypic Switching
|
|---|---|
| Published in |
Frontiers in Pharmacology, July 2018
|
| DOI | 10.3389/fphar.2018.00737 |
| Pubmed ID | |
| Authors |
Shamini Murugavel, Antoinette Bugyei-Twum, Pratiek N. Matkar, Husain Al-Mubarak, Hao H. Chen, Mohamed Adam, Shubha Jain, Tanya Narang, Rawand M. Abdin, Mohammad Qadura, Kim A. Connelly, Howard Leong-Poi, Krishna K. Singh |
| Abstract |
Valproic acid (VPA), a histone deacetylase (HDAC) inhibitor, is a widely used anticonvulsant drug that is currently undergoing clinical evaluation for anticancer therapy due to its anti-angiogenic potential. Endothelial cells (ECs) can transition into mesenchymal cells and this form of EC plasticity is called endothelial-to-mesenchymal transition (EndMT), which is widely implicated in several pathologies including cancer and organ fibrosis. However, the effect of VPA on EC plasticity and EndMT remains completely unknown. We report herein that VPA-treatment significantly inhibits tube formation, migration, nitric oxide production, proliferation and migration in ECs. A microscopic evaluation revealed, and qPCR, immunofluorescence and immunoblotting data confirmed EndMT-like phenotypic switching as well as an increased expression of pro-fibrotic genes in VPA-treated ECs. Furthermore, our data confirmed important and regulatory role played by TGFβ-signaling in VPA-induced EndMT. Our qPCR array data performed for 84 endothelial genes further supported our findings and demonstrated 28 significantly and differentially regulated genes mainly implicated in angiogenesis, endothelial function, EndMT and fibrosis. We, for the first time report that VPA-treatment associated EndMT contributes to the VPA-associated loss of endothelial function. Our data also suggest that VPA based therapeutics may exacerbate endothelial dysfunction and EndMT-related phenotype in patients undergoing anticonvulsant or anticancer therapy, warranting further investigation. |
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 % |
|---|---|---|
| Canada | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 20% |
| Student > Bachelor | 3 | 15% |
| Other | 2 | 10% |
| Professor > Associate Professor | 2 | 10% |
| Student > Doctoral Student | 1 | 5% |
| Other | 5 | 25% |
| Unknown | 3 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 25% |
| Biochemistry, Genetics and Molecular Biology | 4 | 20% |
| Agricultural and Biological Sciences | 3 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 10% |
| Unspecified | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 5 | 25% |
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 30 July 2018.
All research outputs
#17,985,001
of 23,096,849 outputs
Outputs from Frontiers in Pharmacology
#7,270
of 16,456 outputs
Outputs of similar age
#236,067
of 326,766 outputs
Outputs of similar age from Frontiers in Pharmacology
#162
of 397 outputs
Altmetric has tracked 23,096,849 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,456 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 48th percentile – i.e., 48% 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 326,766 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 397 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.