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Identification of plasma microRNAs as a biomarker of sporadic Amyotrophic Lateral Sclerosis

Overview of attention for article published in Molecular Brain, October 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet
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5 X users
patent
1 patent

Citations

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92 Dimensions

Readers on

mendeley
110 Mendeley
citeulike
1 CiteULike
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Title
Identification of plasma microRNAs as a biomarker of sporadic Amyotrophic Lateral Sclerosis
Published in
Molecular Brain, October 2015
DOI 10.1186/s13041-015-0161-7
Pubmed ID
Authors

Ikuko Takahashi, Yuka Hama, Masaaki Matsushima, Makoto Hirotani, Takahiro Kano, Hideki Hohzen, Ichiro Yabe, Jun Utsumi, Hidenao Sasaki

Abstract

Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative disease, which leads to the loss of upper and lower motor neurons, with a currently unknown etiology. Specific biomarkers could help in early detection and diagnosis, and could also act as indicators of disease progression and therapy effectiveness. MicroRNAs (miRNAs) are small (18-25 nucleotides), single-stranded non-coding RNA molecules that play important regulatory roles in animals and plants by targeting mRNAs for cleavage or translational repression, and are essential for nervous system development. Many of the genes associated with genetic ALS have pathological biological pathways related to RNA metabolism, and their pathogenesis may be affecting the maturing processes of miRNA. We compared miRNA from the plasma of sALS patients and healthy controls using two cohorts; a discovery cohort analyzed with microarray (16 sALS patients and ten healthy controls) and a validation cohort confirmed with qPCR (48 sALS patients, 47 healthy controls and 30 disease controls). We measured the total amount of extracted RNA along with a spike-in control that ensured the quality of our quantification. A percentage of the 10-40 nt RNAs extracted from the total RNA showed a significant increase in ALS patients. There was a negative correlation between total RNA concentration and disease duration from onset to end point. Three of the miRNAs were up-regulated and six were down-regulated significantly in the discovery cohort. Since an internal control is required as a sample stability indicator of both the patients and controls in microarray analysis, we selected the miRNA showing the smallest dispersion and equivalency between the two groups' mean value, and decided to use hsa-miR-4516. We found hsa-miR-4649-5p to be up-regulated, and hsa-miR-4299 to be down-regulated, where each was not influenced by clinical characteristics. EPHA4, a target gene linked to the nervous system which has also been reported to be a disease modifier of ALS, is the common and most notable target gene of hsa-miR-4649-5p and hsa-miR-4299. We have shown the relationship circulating plasma miRNA has with both healthy controls and diseased patients. Hsa-miR-4649-5p and hsa-miR-4299 have the potential to be ALS diagnosis biomarkers.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 2%
Korea, Republic of 1 <1%
Brazil 1 <1%
Unknown 106 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 16%
Student > Ph. D. Student 16 15%
Student > Master 16 15%
Student > Bachelor 14 13%
Professor 5 5%
Other 19 17%
Unknown 22 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 21%
Agricultural and Biological Sciences 16 15%
Neuroscience 14 13%
Medicine and Dentistry 11 10%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 13 12%
Unknown 29 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 September 2020.
All research outputs
#2,052,037
of 22,831,537 outputs
Outputs from Molecular Brain
#62
of 1,110 outputs
Outputs of similar age
#31,383
of 283,725 outputs
Outputs of similar age from Molecular Brain
#1
of 24 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,110 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done particularly well, scoring higher than 94% 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 283,725 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 24 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 95% of its contemporaries.