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MiR-4463 Inhibits the Migration of Human Aortic Smooth Muscle Cells by AMOT

Overview of attention for article published in Bioscience Reports, September 2018
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Title
MiR-4463 Inhibits the Migration of Human Aortic Smooth Muscle Cells by AMOT
Published in
Bioscience Reports, September 2018
DOI 10.1042/bsr20180150
Pubmed ID
Authors

Xueqin Wang, Chao Du, Xuemei He, Xian Deng, Yanzheng He, Xiangyu Zhou

Abstract

Aberrant vascular smooth muscle cell (VSMC) migration has been implicated in a variety of vascular disorders, while the signal pathways governing this process remain unclear. Here, we investigated whether microRNAs (miRNAs), which are strong posttranscriptional regulators of gene expression, could alter VSMC migration. We detected the expression of miR-4463 in the plasma of patients with atherosclerosis and in human aortic smooth muscle cells (HASMCs) under hypoxia-ischemia condition, and investigated the migration effect and its downstream pathways. The results have shown that whether in clinical AS patients or hypoxic cells, the expression of miR-4463 was lower than that of normal group, then the number of migrating cells in the miR-4463 mimic intervention group was significantly decreased compared with the normal group, and miR-4463 inhibitor instead. Furthermore, the expression of AMOT in gastrocnemius muscle and femoral artery of patients was significantly higher than that of the control group. The protein level of AMOT in miR-4463 mimic intervention group was significantly decreased, and its level was reversed by inhibiting miR-4463. In summary, these results indicate that miR-4463 is a novel modulator of VSMC migration by targeting AMOT expression. Regulating miR-4463 or its specific downstream target genes in VSMCs may represent an attractive approach for the treatment of vascular diseases.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 17%
Student > Doctoral Student 2 17%
Student > Ph. D. Student 2 17%
Other 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 4 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 25%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Social Sciences 1 8%
Medicine and Dentistry 1 8%
Neuroscience 1 8%
Other 0 0%
Unknown 5 42%
Attention Score in Context

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 13 May 2018.
All research outputs
#18,609,054
of 23,051,185 outputs
Outputs from Bioscience Reports
#1,185
of 1,961 outputs
Outputs of similar age
#261,743
of 341,409 outputs
Outputs of similar age from Bioscience Reports
#30
of 64 outputs
Altmetric has tracked 23,051,185 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,961 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.