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miR-155 in the progression of lung fibrosis in systemic sclerosis

Overview of attention for article published in Arthritis Research & Therapy, July 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

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6 tweeters
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1 Facebook page

Citations

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51 Dimensions

Readers on

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39 Mendeley
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Title
miR-155 in the progression of lung fibrosis in systemic sclerosis
Published in
Arthritis Research & Therapy, July 2016
DOI 10.1186/s13075-016-1054-6
Pubmed ID
Authors

Romy B. Christmann, Alicia Wooten, Percival Sampaio-Barros, Claudia L. Borges, Carlos R. R. Carvalho, Ronaldo A. Kairalla, Carol Feghali-Bostwick, Jessica Ziemek, Yu Mei, Salma Goummih, Jiangning Tan, Diana Alvarez, Daniel J. Kass, Mauricio Rojas, Thiago Lemos de Mattos, Edwin Parra, Giuseppina Stifano, Vera L. Capelozzi, Robert W. Simms, Robert Lafyatis

Abstract

MicroRNA (miRNA) control key elements of mRNA stability and likely contribute to the dysregulated lung gene expression observed in systemic sclerosis associated interstitial lung disease (SSc-ILD). We analyzed the miRNA gene expression of tissue and cells from patients with SSc-ILD. A chronic lung fibrotic murine model was used. RNA was isolated from lung tissue of 12 patients with SSc-ILD and 5 controls. High-resolution computed tomography (HRCT) was performed at baseline and 2-3 years after treatment. Lung fibroblasts and peripheral blood mononuclear cells (PBMC) were isolated from healthy controls and patients with SSc-ILD. miRNA and mRNA were analyzed by microarray, quantitative polymerase chain reaction, and/or Nanostring; pathway analysis was performed by DNA Intelligent Analysis (DIANA)-miRPath v2.0 software. Wild-type and miR-155 deficient (miR-155ko) mice were exposed to bleomycin. Lung miRNA microarray data distinguished patients with SSc-ILD from healthy controls with 185 miRNA differentially expressed (q < 0.25). DIANA-miRPath revealed 57 Kyoto Encyclopedia of Genes and Genomes pathways related to the most dysregulated miRNA. miR-155 and miR-143 were strongly correlated with progression of the HRCT score. Lung fibroblasts only mildly expressed miR-155/miR-21 after several stimuli. miR-155 PBMC expression strongly correlated with lung function tests in SSc-ILD. miR-155ko mice developed milder lung fibrosis, survived longer, and weaker lung induction of several genes after bleomycin exposure compared to wild-type mice. miRNA are dysregulated in the lungs and PBMC of patients with SSc-ILD. Based on mRNA-miRNA interaction analysis and pathway tools, miRNA may play a role in the progression of the disease. Our findings suggest that targeting miR-155 might provide a novel therapeutic strategy for SSc-ILD.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 21%
Researcher 7 18%
Student > Ph. D. Student 5 13%
Student > Doctoral Student 4 10%
Other 2 5%
Other 4 10%
Unknown 9 23%
Readers by discipline Count As %
Medicine and Dentistry 11 28%
Biochemistry, Genetics and Molecular Biology 7 18%
Immunology and Microbiology 4 10%
Neuroscience 3 8%
Agricultural and Biological Sciences 2 5%
Other 4 10%
Unknown 8 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 15 July 2016.
All research outputs
#3,240,407
of 11,622,318 outputs
Outputs from Arthritis Research & Therapy
#726
of 1,602 outputs
Outputs of similar age
#86,177
of 267,331 outputs
Outputs of similar age from Arthritis Research & Therapy
#19
of 54 outputs
Altmetric has tracked 11,622,318 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,602 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 67% 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 267,331 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.