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RNY-derived small RNAs as a signature of coronary artery disease

Overview of attention for article published in BMC Medicine, October 2015
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

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Title
RNY-derived small RNAs as a signature of coronary artery disease
Published in
BMC Medicine, October 2015
DOI 10.1186/s12916-015-0489-y
Pubmed ID
Authors

Emanuela Repetto, Laeticia Lichtenstein, Zoheir Hizir, Nedra Tekaya, Mohamed Benahmed, Jean-Bernard Ruidavets, Laure-Emmanuelle Zaragosi, Bertrand Perret, Laura Bouchareychas, Annelise Genoux, Romain Lotte, Raymond Ruimy, Jean Ferrières, Pascal Barbry, Laurent O. Martinez, Michele Trabucchi

Abstract

Data from next generation sequencing technologies uncovered the existence of many classes of small RNAs. Recent studies reported that small RNAs are released by cells and can be detected in the blood. In this report, we aimed to discover the occurrence of novel circulating small RNAs in coronary artery disease (CAD). We used high-throughput sequencing of small RNAs from human and mouse apoptotic primary macrophages, and analyzed the data by empirical Bayes moderated t-statistics to assess differential expression and the Benjamini and Hochberg method to control the false discovery rate. Results were then confirmed by Northern blot and RT-qPCR in foam cells and in two animal models for atherosclerosis, namely ApoE (-/-) and Ldlr (-/-) mouse lines. Quantitative RT-PCR to detect identified small RNAs, the RNY-derived small RNAs, was performed using sera of 263 patients with CAD compared to 514 matched healthy controls; the Student t-test was applied to statistically assess differences. Associations of small RNAs with clinical characteristics and biological markers were tested using Spearman's rank correlations, while multivariate logistic regressions were performed to test the statistical association of small RNA levels with CAD. Here, we report that, in macrophages stimulated with pro-apoptotic or pro-atherogenic stimuli, the Ro-associated non-coding RNAs, called RNYs or Y-RNAs, are processed into small RNAs (~24-34 nt) referred to as small-RNYs (s-RNYs), including s-RNY1-5p processed from RNY1. A significant upregulation of s-RNY expression was found in aortic arches and blood plasma from ApoE (-/-) and Ldlr (-/-) mice and in serum from CAD patients (P <0.001). Biostatistical analysis revealed a positive association of s-RNY1-5p with hs-CRP and ApoB levels; however, no statistical interaction was found between either of these two markers and s-RNY1-5p in relation to the CAD status. Levels of s-RNY1-5p were also independent from statin and fibrate therapies. Our results position the s-RNY1-5p as a relevant novel independent diagnostic biomarker for atherosclerosis-related diseases. Measurement of circulating s-RNY expression would be a valuable companion diagnostic to monitor foam cell apoptosis during atherosclerosis pathogenesis and to evaluate patient's responsiveness to future therapeutic strategies aiming to attenuate apoptosis in foam cells in advanced atherosclerotic lesions.

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The data shown below were collected from the profiles of 4 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 26%
Student > Ph. D. Student 13 20%
Student > Doctoral Student 6 9%
Student > Bachelor 5 8%
Student > Master 4 6%
Other 5 8%
Unknown 16 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 20%
Agricultural and Biological Sciences 12 18%
Medicine and Dentistry 11 17%
Immunology and Microbiology 4 6%
Business, Management and Accounting 2 3%
Other 6 9%
Unknown 18 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 June 2018.
All research outputs
#13,215,559
of 22,830,751 outputs
Outputs from BMC Medicine
#2,775
of 3,430 outputs
Outputs of similar age
#127,873
of 278,191 outputs
Outputs of similar age from BMC Medicine
#80
of 87 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,430 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.5. This one is in the 18th percentile – i.e., 18% 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 278,191 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 53% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.