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The expression signature of very long non-coding RNA in myalgic encephalomyelitis/chronic fatigue syndrome

Overview of attention for article published in Journal of Translational Medicine, August 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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1 blog
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74 X users
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4 Facebook pages
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1 Redditor

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50 Mendeley
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Title
The expression signature of very long non-coding RNA in myalgic encephalomyelitis/chronic fatigue syndrome
Published in
Journal of Translational Medicine, August 2018
DOI 10.1186/s12967-018-1600-x
Pubmed ID
Authors

Chin-An Yang, Sandra Bauer, Yu-Chen Ho, Franziska Sotzny, Jan-Gowth Chang, Carmen Scheibenbogen

Abstract

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a chronic debilitating disease with huge social-economic impact. It has been suggested that immune dysregulation, nitrooxidative stress, and metabolic impairment might contribute to disease pathogenesis. However, the etiology of ME/CFS remains largely unclear, and diagnostic/prognostic disease markers are lacking. Several long noncoding RNAs (lncRNA, > 200 bp) have been reported to play roles in immunological diseases or in stress responses. In our study, we examined the expression signature of 10 very long lncRNAs (> 5 kb, CR933609, His-RNA, AK124742, GNAS1-AS, EmX2OS, MIAT, TUG1, NEAT1, MALAT1, NTT) in the peripheral blood mononuclear cells of 44 ME/CFS patients. LncRNAs NTT, MIAT and EmX2OS levels were found to be significantly elevated in ME/CFS patients as compared with healthy controls. Furthermore, NTT and EmX2OS levels increased with disease severity. Stimulation of human monocytic cell line THP-1 and glioma cell line KALS1 with H2O2 (oxidative stress) and poly (I:C) (double strand RNA, representing viral activation) increased the expression levels of NTT and MIAT. Our study revealed a ME/CFS-associated very long lncRNA expression signature, which might reflect the regulatory response in ME/CFS patients to oxidative stress, chronic viral infection and hypoxemia. Further investigations need to be done to uncover the functions and potential diagnostic value of these lncRNAs in ME/CFS.

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X Demographics

The data shown below were collected from the profiles of 74 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 14%
Other 6 12%
Student > Master 6 12%
Student > Bachelor 4 8%
Student > Ph. D. Student 4 8%
Other 8 16%
Unknown 15 30%
Readers by discipline Count As %
Medicine and Dentistry 10 20%
Biochemistry, Genetics and Molecular Biology 6 12%
Nursing and Health Professions 3 6%
Neuroscience 3 6%
Agricultural and Biological Sciences 3 6%
Other 11 22%
Unknown 14 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 54. 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 26 November 2018.
All research outputs
#767,106
of 25,187,238 outputs
Outputs from Journal of Translational Medicine
#154
of 4,578 outputs
Outputs of similar age
#16,323
of 339,049 outputs
Outputs of similar age from Journal of Translational Medicine
#5
of 87 outputs
Altmetric has tracked 25,187,238 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,578 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done particularly well, scoring higher than 96% 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 339,049 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 87 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.