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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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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.

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The data shown below were collected from the profiles of 6 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 15%
Researcher 11 14%
Student > Master 11 14%
Student > Bachelor 6 7%
Student > Doctoral Student 5 6%
Other 17 21%
Unknown 19 23%
Readers by discipline Count As %
Medicine and Dentistry 24 30%
Biochemistry, Genetics and Molecular Biology 12 15%
Immunology and Microbiology 8 10%
Nursing and Health Professions 3 4%
Neuroscience 3 4%
Other 9 11%
Unknown 22 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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
#8,534,976
of 25,373,627 outputs
Outputs from Arthritis Research & Therapy
#1,710
of 3,381 outputs
Outputs of similar age
#133,612
of 370,454 outputs
Outputs of similar age from Arthritis Research & Therapy
#26
of 58 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,381 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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 370,454 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 58 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 50% of its contemporaries.