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Inflammatory predisposition predicts disease phenotypes in muscular dystrophy

Overview of attention for article published in Inflammation and Regeneration, September 2016
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Title
Inflammatory predisposition predicts disease phenotypes in muscular dystrophy
Published in
Inflammation and Regeneration, September 2016
DOI 10.1186/s41232-016-0019-0
Pubmed ID
Authors

Yuko Nitahara-Kasahara, Shin’ichi Takeda, Takashi Okada

Abstract

Duchenne muscular dystrophy is an incurable genetic disease that presents with skeletal muscle weakness and chronic inflammation and is associated with early mortality. Indeed, immune cell infiltration into the skeletal muscle is a notable feature of the disease pathophysiology and is strongly associated with disease severity. Interleukin (IL)-10 regulates inflammatory immune responses by reducing both M1 macrophage activation and the production of pro-inflammatory cytokines, thereby promoting the activation of the M2 macrophage phenotype. We previously reported that genetic ablation of IL-10 in dystrophic mice resulted in more severe phenotypes, in regard to heart and respiratory function, as evidenced by increased macrophage infiltration, high levels of inflammatory factors in the muscle, and progressive cardiorespiratory dysfunction. These data therefore indicate that IL-10 comprises an essential immune-modulator within dystrophic muscles. In this review, we highlight the pivotal role of the immune system in the pathogenesis of muscular dystrophy and discuss how an increased understanding of the pathogenesis of this disease may lead to novel therapeutic strategies.

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The data shown below were collected from the profile of 1 X user 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 18%
Student > Bachelor 6 14%
Student > Doctoral Student 5 11%
Other 3 7%
Student > Master 3 7%
Other 5 11%
Unknown 14 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 20%
Medicine and Dentistry 7 16%
Agricultural and Biological Sciences 4 9%
Immunology and Microbiology 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 5 11%
Unknown 16 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 September 2016.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Inflammation and Regeneration
#206
of 258 outputs
Outputs of similar age
#269,943
of 346,172 outputs
Outputs of similar age from Inflammation and Regeneration
#4
of 4 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 258 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.