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TGF-β/Smad signaling in renal fibrosis

Overview of attention for article published in Frontiers in Physiology, March 2015
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Title
TGF-β/Smad signaling in renal fibrosis
Published in
Frontiers in Physiology, March 2015
DOI 10.3389/fphys.2015.00082
Pubmed ID
Authors

Xiao-Ming Meng, Patrick Ming-Kuen Tang, Jun Li, Hui Yao Lan

Abstract

TGF-β (transforming growth factor-β) is well identified as a central mediator in renal fibrosis. TGF-β initiates canonical and non-canonical pathways to exert multiple biological effects. Among them, Smad signaling is recognized as a major pathway of TGF-β signaling in progressive renal fibrosis. During fibrogenesis, Smad3 is highly activated, which is associated with the down-regulation of an inhibitory Smad7 via an ubiquitin E3-ligases-dependent degradation mechanism. The equilibrium shift between Smad3 and Smad7 leads to accumulation and activation of myofibroblasts, overproduction of ECM (extracellular matrix), and reduction in ECM degradation in the diseased kidney. Therefore, overexpression of Smad7 has been shown to be a therapeutic agent for renal fibrosis in various models of kidney diseases. In contrast, another downstream effecter of TGF-β/Smad signaling pathway, Smad2, exerts its renal protective role by counter-regulating the Smad3. Furthermore, recent studies demonstrated that Smad3 mediates renal fibrosis by down-regulating miR-29 and miR-200 but up-regulating miR-21 and miR-192. Thus, overexpression of miR-29 and miR-200 or down-regulation of miR-21 and miR-192 is capable of attenuating Smad3-mediated renal fibrosis in various mouse models of chronic kidney diseases (CKD). Taken together, TGF-β/Smad signaling plays an important role in renal fibrosis. Targeting TGF-β/Smad3 signaling may represent a specific and effective therapy for CKD associated with renal fibrosis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 313 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Bulgaria 1 <1%
Unknown 311 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 20%
Student > Bachelor 44 14%
Student > Master 41 13%
Researcher 29 9%
Student > Doctoral Student 14 4%
Other 45 14%
Unknown 76 24%
Readers by discipline Count As %
Medicine and Dentistry 67 21%
Biochemistry, Genetics and Molecular Biology 65 21%
Agricultural and Biological Sciences 38 12%
Pharmacology, Toxicology and Pharmaceutical Science 28 9%
Immunology and Microbiology 9 3%
Other 23 7%
Unknown 83 27%
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 20 March 2015.
All research outputs
#20,265,771
of 22,796,179 outputs
Outputs from Frontiers in Physiology
#9,349
of 13,562 outputs
Outputs of similar age
#223,271
of 263,733 outputs
Outputs of similar age from Frontiers in Physiology
#71
of 112 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,562 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.