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Role of Exosomal MicroRNAs and myomiRs in the Development of Cancer Cachexia-Associated Muscle Wasting

Overview of attention for article published in Frontiers in Nutrition, January 2018
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63 Mendeley
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Title
Role of Exosomal MicroRNAs and myomiRs in the Development of Cancer Cachexia-Associated Muscle Wasting
Published in
Frontiers in Nutrition, January 2018
DOI 10.3389/fnut.2017.00069
Pubmed ID
Authors

Rodolfo Marinho, Paulo S. M. Alcântara, José P. Ottoch, Marilia Seelaender

Abstract

Cachexia is a complex metabolic syndrome that promotes great weight loss, with marked muscle mass wasting. In the last years, many efforts have been directed to improve the understanding of the mechanisms involved in the disease. This syndrome is present in up to 80% of cancer patients and, despite its clinical relevance, is underdiagnosed. The orchestration of the molecular and biochemical disruptions observed in cachexia is paralleled by inflammation and the communication among the different body compartments, including the tumor and the skeletal muscle, is still not completely described. One of the mechanisms that may be involved in the transduction of the inflammatory signals and the activation of catabolic status in muscle is the participation of exosomes containing microRNAs (miRNAs) and muscle-specific miRNAs (myomiRs). Exosomes are nanovesicles, measuring from 30 to 100 µm, and able to carry miRNAs in the circulation, promoting cell-cell and tissue-tissue communication in an autocrine, paracrine, and endocrine manner. miRNAs transported in exosomes are preserved from degradation, while these nanoparticles deliver the cargo to specific cell targets, making communication more efficient. Several miRNAs are known to modulate inflammatory pathways, to induce metastasis, to mediate cancer aggressiveness and even to participate in the regulation of protein synthesis and degradation pathways in the skeletal muscle. The aim of this mini-review is to describe the present knowledge about the role of exosomal miRNAs and myomiRs in the induction of muscle mass wasting in cancer cachexia state and to explain which transcription factors, proteins, and pathways are regulated by these molecules.

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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 14%
Student > Bachelor 8 13%
Student > Master 7 11%
Student > Doctoral Student 6 10%
Student > Ph. D. Student 5 8%
Other 11 17%
Unknown 17 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 24%
Medicine and Dentistry 8 13%
Agricultural and Biological Sciences 5 8%
Nursing and Health Professions 3 5%
Immunology and Microbiology 2 3%
Other 6 10%
Unknown 24 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 February 2018.
All research outputs
#13,577,300
of 23,015,156 outputs
Outputs from Frontiers in Nutrition
#1,836
of 4,668 outputs
Outputs of similar age
#220,816
of 443,107 outputs
Outputs of similar age from Frontiers in Nutrition
#19
of 28 outputs
Altmetric has tracked 23,015,156 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,668 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has gotten more attention than average, scoring higher than 58% 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 443,107 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.