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Specific circulating microRNA signature of bicuspid aortic valve disease

Overview of attention for article published in Journal of Translational Medicine, April 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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3 X users
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1 patent

Citations

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Title
Specific circulating microRNA signature of bicuspid aortic valve disease
Published in
Journal of Translational Medicine, April 2017
DOI 10.1186/s12967-017-1176-x
Pubmed ID
Authors

Neus Martínez-Micaelo, Raúl Beltrán-Debón, Isabel Baiges, Marta Faiges, Josep M. Alegret

Abstract

We aimed to determine the circulating miRNA expression profile associated with BAV and aortic dilation to provide diagnostic and prognostic biomarkers for BAV and/or aortic dilation. We applied a miRNome-wide microarray approach using plasma samples (n = 24) from healthy tricuspid aortic valve individuals, BAV patients and BAV patients with aortic dilation to compare and identify the specific miRNAs associated with BAV and aortic dilation. In a second stage, the expression patterns of the miRNA candidates were validated by RT-qPCR in an independent cohort (n = 43). The miRNA microarray data and RT-qPCR analyses revealed that the expression levels of circulating miR-122, miR-130a and miR-486 are significantly influenced by the morphology of the aortic valve (bicuspid/tricuspid) and could be functionally involved in the regulation of TGF-β1 signalling. Furthermore, the expression pattern of miR-718 in the plasma was strongly influenced by dilation of the ascending aorta. miR-718 expression was inversely correlated with the aortic diameter (R = -0.63, p = 3.1 × 10(-5)) and was an independent predictor of aortic dilation (β = -0.41, p = 0.022). The genes targeted by miR-718 are involved in the regulation of vascular remodelling. We propose that miR-122, miR-130a, miR-486 and miR-718 are new molecular features associated with BAV and aortic dilation principally by the activation of TGF-β1 pathway and vascular remodelling mediated by VEGF signalling pathways.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Student > Master 5 15%
Student > Doctoral Student 3 9%
Researcher 2 6%
Professor > Associate Professor 2 6%
Other 6 18%
Unknown 8 24%
Readers by discipline Count As %
Medicine and Dentistry 13 39%
Agricultural and Biological Sciences 5 15%
Biochemistry, Genetics and Molecular Biology 4 12%
Engineering 1 3%
Unknown 10 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 09 August 2018.
All research outputs
#6,199,619
of 22,963,381 outputs
Outputs from Journal of Translational Medicine
#935
of 4,013 outputs
Outputs of similar age
#99,715
of 310,113 outputs
Outputs of similar age from Journal of Translational Medicine
#16
of 63 outputs
Altmetric has tracked 22,963,381 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,013 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 76% of its peers.
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 310,113 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 63 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 74% of its contemporaries.