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Role of islet microRNAs in diabetes: which model for which question?

Overview of attention for article published in Diabetologia, December 2014
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Title
Role of islet microRNAs in diabetes: which model for which question?
Published in
Diabetologia, December 2014
DOI 10.1007/s00125-014-3471-x
Pubmed ID
Authors

Claudiane Guay, Romano Regazzi

Abstract

MicroRNAs are important regulators of gene expression. The vast majority of the cells in our body rely on hundreds of these tiny non-coding RNA molecules to precisely adjust their protein repertoire and faithfully accomplish their tasks. Indeed, alterations in the microRNA profile can lead to cellular dysfunction that favours the appearance of several diseases. A specific set of microRNAs plays a crucial role in pancreatic beta cell differentiation and is essential for the fine-tuning of insulin secretion and for compensatory beta cell mass expansion in response to insulin resistance. Recently, several independent studies reported alterations in microRNA levels in the islets of animal models of diabetes and in islets isolated from diabetic patients. Surprisingly, many of the changes in microRNA expression observed in animal models of diabetes were not detected in the islets of diabetic patients and vice versa. These findings are unlikely to merely reflect species differences because microRNAs are highly conserved in mammals. These puzzling results are most probably explained by fundamental differences in the experimental approaches which selectively highlight the microRNAs directly contributing to diabetes development, the microRNAs predisposing individuals to the disease or the microRNAs displaying expression changes subsequent to the development of diabetes. In this review we will highlight the suitability of the different models for addressing each of these questions and propose future strategies that should allow us to obtain a better understanding of the contribution of microRNAs to the development of diabetes mellitus in humans.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 23%
Researcher 8 15%
Student > Ph. D. Student 8 15%
Student > Bachelor 7 13%
Student > Postgraduate 4 8%
Other 10 19%
Unknown 4 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 26%
Agricultural and Biological Sciences 14 26%
Medicine and Dentistry 11 21%
Immunology and Microbiology 2 4%
Engineering 2 4%
Other 6 11%
Unknown 4 8%
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 28 February 2015.
All research outputs
#20,247,117
of 22,775,504 outputs
Outputs from Diabetologia
#4,879
of 5,034 outputs
Outputs of similar age
#297,033
of 354,383 outputs
Outputs of similar age from Diabetologia
#38
of 41 outputs
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