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New biomarkers for primary mitral regurgitation

Overview of attention for article published in Clinical Proteomics, September 2015
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Title
New biomarkers for primary mitral regurgitation
Published in
Clinical Proteomics, September 2015
DOI 10.1186/s12014-015-9097-2
Pubmed ID
Authors

Céline Deroyer, Julien Magne, Marie Moonen, Caroline Le Goff, Laura Dupont, Alexia Hulin, Marc Radermecker, Alain Colige, Etienne Cavalier, Philippe Kolh, Luc Pierard, Patrizio Lancellotti, Marie-Paule Merville, Marianne Fillet

Abstract

Mitral regurgitation is a frequent valvular heart disease affecting around 2.5 % of the population with prevalence directly related to aging. Degeneration of mitral valve is broadly considered as a passive ongoing pathophysiological process and little is known about its physiological deregulation. The purpose of this study was to highlight new biomarkers of mitral regurgitation in order to decipher the underlying pathological mechanism as well as to allow the diagnosis and the monitoring of the disease. Modulation of various blood proteins expression was examined in patients suffering from different grades of mitral regurgitation (mild, moderate and severe) compared to healthy controls. To this end, several routine clinical assays and the multi analyte profile technology targeting 184 proteins were used. High-density lipoprotein, apolipoprotein-A1, haptoglobin and haptoglobin-α2 chain levels significantly decreased proportionally to the degree of mitral regurgitation when compared to controls. High-density lipoprotein and apolipoprotein-A1 levels were associated with effective regurgitant orifice area and regurgitant volume. Apolipoprotein-A1 was an independent predictor of severe mitral regurgitation. Moreover, with ordinal logistic regression, apolipoprotein-A1 remained the only independent factor associated with mitral regurgitation. In addition, myxomatous mitral valves were studied by immunocytochemistry. We observed an increase of LC3, the marker of autophagy, in myxomatous mitral valves compared with healthy mitral valves. These potential biomarkers of mitral regurgitation highlighted different cellular processes that could be modified in myxomatous degenerescence: reverse cholesterol transport, antioxidant properties and autophagy.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 22%
Student > Doctoral Student 5 10%
Student > Ph. D. Student 5 10%
Professor 4 8%
Other 3 6%
Other 6 12%
Unknown 15 31%
Readers by discipline Count As %
Medicine and Dentistry 16 33%
Biochemistry, Genetics and Molecular Biology 6 12%
Agricultural and Biological Sciences 3 6%
Engineering 2 4%
Veterinary Science and Veterinary Medicine 1 2%
Other 2 4%
Unknown 19 39%
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 02 January 2016.
All research outputs
#18,427,608
of 22,829,083 outputs
Outputs from Clinical Proteomics
#223
of 284 outputs
Outputs of similar age
#197,629
of 274,665 outputs
Outputs of similar age from Clinical Proteomics
#4
of 4 outputs
Altmetric has tracked 22,829,083 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 284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 15th percentile – i.e., 15% 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 274,665 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.