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Extracellular Vesicles as Carriers of Non-coding RNAs in Liver Diseases

Overview of attention for article published in Frontiers in Pharmacology, April 2018
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Title
Extracellular Vesicles as Carriers of Non-coding RNAs in Liver Diseases
Published in
Frontiers in Pharmacology, April 2018
DOI 10.3389/fphar.2018.00415
Pubmed ID
Authors

Junfa Yang, Changyao Li, Lei Zhang, Xiao Wang

Abstract

Extracellular vesicles (EVs) are small membranous vesicles secreted from normal, diseased, and transformed cells in vitro and in vivo. EVs have been found to play a critical role in cell-to-cell communication by transferring non-coding RNAs (ncRNAs) including microRNAs (miRNAs), long ncRNAs (lncRNAs) and so on. Emerging evidence shows that transferring biological information through EVs to neighboring cells in intercellular communication not only keep physiological functions, but also participate in the pathogenesis of liver diseases. Liver diseases often promote release of EVs and/or in different cargo sorting into these EVs. Either of these modifications can promote disease pathogenesis. Given this fact, EV-associated ncRNAs, such as miR-192, miR-122 and lncRNA-ROR and so on, can serve as new diagnostic biomarkers and new therapeutic targets for liver disease, because altered EV-associated ncRNAs may reflect the underlying liver disease condition. In this review, we focus on understanding the emerging role of EV-associated ncRNAs in viral hepatitis, liver fibrosis, alcoholic hepatitis (AH), non-alcoholic steatohepatitis (NASH) and hepatocellular carcinoma (HCC) and discuss their utility in biomarker discovery and therapeutics. A better understanding of this multifaceted pattern of communication between different type cells in liver may contribute to developing novel approaches for personalized diagnostics and therapeutics.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 23%
Student > Bachelor 11 18%
Researcher 9 15%
Student > Master 8 13%
Student > Doctoral Student 4 7%
Other 1 2%
Unknown 14 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 31%
Agricultural and Biological Sciences 7 11%
Medicine and Dentistry 7 11%
Pharmacology, Toxicology and Pharmaceutical Science 5 8%
Immunology and Microbiology 4 7%
Other 4 7%
Unknown 15 25%
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 03 May 2018.
All research outputs
#20,485,225
of 23,047,237 outputs
Outputs from Frontiers in Pharmacology
#10,268
of 16,374 outputs
Outputs of similar age
#287,532
of 326,487 outputs
Outputs of similar age from Frontiers in Pharmacology
#229
of 395 outputs
Altmetric has tracked 23,047,237 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,374 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 395 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.