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Salivary MicroRNAs: Diagnostic Markers of Mild Traumatic Brain Injury in Contact-Sport

Overview of attention for article published in Frontiers in Molecular Neuroscience, August 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#44 of 3,257)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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4 news outlets
blogs
1 blog
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15 X users
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2 patents

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157 Mendeley
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Title
Salivary MicroRNAs: Diagnostic Markers of Mild Traumatic Brain Injury in Contact-Sport
Published in
Frontiers in Molecular Neuroscience, August 2018
DOI 10.3389/fnmol.2018.00290
Pubmed ID
Authors

Valentina Di Pietro, Edoardo Porto, Marco Ragusa, Cristina Barbagallo, David Davies, Mario Forcione, Ann Logan, Cinzia Di Pietro, Michele Purrello, Michael Grey, Douglas Hammond, Vijay Sawlani, Aron K. Barbey, Antonio Belli

Abstract

Concussion is difficult to diagnose, particularly when symptoms are atypical or late in presenting. An accurate and timely initial assessment is crucial for clinical management. Cerebral spinal fluid (CSF) and blood markers of traumatic brain injury show promising results but their clinical applicability in concussion has significant limitations. In the study, we explored saliva as a new source of biomarkers of concussion. Saliva samples of concussed players were collected after 48-72 h from concussion and analyzed by high-throughput technologies. A discovery group of 10 concussed rugby professional and semiprofessional athletes and 10 non-concussed matched controls was used for the analysis of 92 inflammatory proteins by the Proseek-Multiplex-Inflammation technology. In addition, saliva samples of 6 concussed and 6 non-concussed athletes were used to screen 800 human microRNAs (miRNAs) by the Nanostring Technology. The results were then validated by RT-qPCR in an enlarged cohort (validation group) comprising 22 concussed athletes. Results showed, no significant variations of the 65 inflammatory proteins detected in saliva between groups but 5 microRNAs, miR-27b-3p (p = 0.016), let-7i-5p (p = 0.001), miR-142-3p (p = 0.008), miR-107 (p = 0.028), miR-135b-5p (p = 0.017) significantly upregulated in concussed athletes. Univariate ROC curve analysis showed that the differentially expressed miRNAs could be considered good classifiers of concussion. Further analyses showed significant correlation between these microRNAs and Reaction Time component of the ImPACT concussion assessment tool. In addition, biocomputation analysis predicted the involvement of these microRNAs in important biological processes that might be related to trauma, such as response to hypoxia, cell death, neurogenesis, axon repair and myelination. Ease of access and non-invasiveness of saliva samples make these biomarkers particularly suitable for concussion assessment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 157 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 21 13%
Student > Ph. D. Student 20 13%
Researcher 20 13%
Student > Master 17 11%
Student > Doctoral Student 8 5%
Other 18 11%
Unknown 53 34%
Readers by discipline Count As %
Medicine and Dentistry 20 13%
Biochemistry, Genetics and Molecular Biology 19 12%
Neuroscience 15 10%
Agricultural and Biological Sciences 9 6%
Sports and Recreations 8 5%
Other 24 15%
Unknown 62 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 56. 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 27 November 2023.
All research outputs
#731,782
of 24,877,869 outputs
Outputs from Frontiers in Molecular Neuroscience
#44
of 3,257 outputs
Outputs of similar age
#15,905
of 338,811 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#4
of 131 outputs
Altmetric has tracked 24,877,869 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,257 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done particularly well, scoring higher than 98% 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 338,811 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.