↓ Skip to main content

Towards microRNA-based therapeutics for diabetic nephropathy

Overview of attention for article published in Diabetologia, November 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
42 Mendeley
citeulike
1 CiteULike
Title
Towards microRNA-based therapeutics for diabetic nephropathy
Published in
Diabetologia, November 2012
DOI 10.1007/s00125-012-2768-x
Pubmed ID
Authors

M. L. Alvarez, J. K. DiStefano

Abstract

There is no cure for diabetic nephropathy and the molecular mechanisms underlying disease aetiology remain poorly understood. While current paradigms for clinical management of diabetic nephropathy are useful in delaying disease onset and preventing its progression, they do not do so for a significant proportion of diabetic individuals, who eventually end up developing renal failure. Thus, novel therapeutic targets are needed for the treatment and prevention of the disease. MicroRNAs (miRNAs), a class of non-coding RNAs that negatively regulate gene expression, have recently been identified as attractive targets for therapeutic intervention. It is widely recognised that dysregulation of miRNA expression or action contributes to the development of a number of different human diseases, and evidence of a role for miRNAs in the aetiology of diabetic nephropathy is emerging. The discovery that modulation of miRNA expression in vivo is feasible, combined with recent results from successful clinical trials using this technology, opens the way for future novel therapeutic applications. For instance, inhibition of miRNAs that are commonly upregulated in diabetic nephropathy decreases albuminuria and mesangial matrix accumulation in animal models, suggesting that a therapeutic agent against these molecules may help to prevent the development of diabetic nephropathy. Certain challenges, including the development of safe and reliable delivery systems, remain to be overcome before miRNA-based therapeutics become a reality. However, the findings accumulated to date, in conjunction with newly emerging results, are expected to yield novel insights into the complex pathogenesis of diabetic nephropathy, and may eventually lead to the identification of improved therapeutic targets for treatment of this disease.

X Demographics

X Demographics

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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 2%
Norway 1 2%
Unknown 40 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 29%
Student > Master 10 24%
Researcher 5 12%
Professor 3 7%
Student > Postgraduate 2 5%
Other 4 10%
Unknown 6 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 29%
Medicine and Dentistry 12 29%
Biochemistry, Genetics and Molecular Biology 6 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Physics and Astronomy 1 2%
Other 3 7%
Unknown 7 17%
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 November 2012.
All research outputs
#15,871,137
of 23,576,969 outputs
Outputs from Diabetologia
#4,566
of 5,134 outputs
Outputs of similar age
#117,448
of 185,270 outputs
Outputs of similar age from Diabetologia
#31
of 47 outputs
Altmetric has tracked 23,576,969 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,134 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.4. This one is in the 8th percentile – i.e., 8% 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 185,270 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.