↓ Skip to main content

Plasma Circulating Extracellular RNAs in Left Ventricular Remodeling Post-Myocardial Infarction

Overview of attention for article published in EBioMedicine, May 2018
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
137 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Plasma Circulating Extracellular RNAs in Left Ventricular Remodeling Post-Myocardial Infarction
Published in
EBioMedicine, May 2018
DOI 10.1016/j.ebiom.2018.05.013
Pubmed ID
Authors
Abstract

Despite substantial declines in mortality following myocardial infarction (MI), subsequent left ventricular remodeling (LVRm) remains a significant long-term complication. Extracellular small non-coding RNAs (exRNAs) have been associated with cardiac inflammation and fibrosis and we hypothesized that they are associated with post-MI LVRm phenotypes. RNA sequencing of exRNAs was performed on plasma samples from patients with "beneficial" (decrease LVESVI ≥ 20%, n = 11) and "adverse" (increase LVESVI ≥ 15%, n = 11) LVRm. Selected differentially expressed exRNAs were validated by RT-qPCR (n = 331) and analyzed for their association with LVRm determined by cardiac MRI. Principal components of exRNAs were associated with LVRm phenotypes post-MI; specifically, LV mass, LV ejection fraction, LV end systolic volume index, and fibrosis. We then investigated the temporal regulation and cellular origin of exRNAs in murine and cell models and found that: 1) plasma and tissue miRNA expression was temporally regulated; 2) the majority of the miRNAs were increased acutely in tissue and at sub-acute or chronic time-points in plasma; 3) miRNA expression was cell-specific; and 4) cardiomyocytes release a subset of the identified miRNAs packaged in exosomes into culture media in response to hypoxia/reoxygenation. In conclusion, we find that plasma exRNAs are temporally regulated and are associated with measures of post-MI LVRm.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 137 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 22 16%
Researcher 18 13%
Student > Bachelor 15 11%
Student > Doctoral Student 13 9%
Other 4 3%
Other 13 9%
Unknown 52 38%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 33 24%
Biochemistry, Genetics and Molecular Biology 24 18%
Agricultural and Biological Sciences 5 4%
Nursing and Health Professions 3 2%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Other 13 9%
Unknown 56 41%
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 10 October 2018.
All research outputs
#19,013,950
of 27,562,953 outputs
Outputs from EBioMedicine
#3,530
of 4,387 outputs
Outputs of similar age
#227,714
of 347,727 outputs
Outputs of similar age from EBioMedicine
#48
of 64 outputs
Altmetric has tracked 27,562,953 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,387 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.1. This one is in the 13th percentile – i.e., 13% 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 347,727 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
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 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.