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Tissue-specific dysregulation of cortisol regeneration by 11βHSD1 in obesity: has it promised too much?

Overview of attention for article published in Diabetologia, April 2014
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Title
Tissue-specific dysregulation of cortisol regeneration by 11βHSD1 in obesity: has it promised too much?
Published in
Diabetologia, April 2014
DOI 10.1007/s00125-014-3228-6
Pubmed ID
Authors

Andreas Stomby, Ruth Andrew, Brian R. Walker, Tommy Olsson

Abstract

Cushing's syndrome, caused by increased production of cortisol, leads to metabolic dysfunction including visceral adiposity, hypertension, hyperlipidaemia and type 2 diabetes. The similarities with the metabolic syndrome are striking and major efforts have been made to find obesity-associated changes in the regulation of glucocorticoid action and synthesis, both at a systemic level and tissue level. Obesity is associated with tissue-specific alterations in glucocorticoid metabolism, with increased activity of the glucocorticoid-regenerating enzyme 11β-hydroxysteroid dehydrogenase type 1 (11βHSD1) in subcutaneous adipose tissue and decreased conversion of cortisone to cortisol, interpreted as decreased 11βHSD1 activity, in the liver. In addition, genetic manipulation of 11βHSD1 activity in rodents can either induce (by overexpression of Hsd11b1, the gene encoding 11βHSD1) or prevent (by knocking out Hsd11b1) obesity and metabolic dysfunction. Taken together with earlier evidence that non-selective inhibitors of 11βHSD1 enhance insulin sensitivity, these results led to the hypothesis that inhibition of 11βHSD1 might be a promising target for treatment of the metabolic syndrome. Several selective 11βHSD1 inhibitors have now been developed and shown to improve metabolic dysfunction in patients with type 2 diabetes, but the small magnitude of the glucose-lowering effect has precluded their further commercial development.This review focuses on the role of 11βHSD1 as a tissue-specific regulator of cortisol exposure in obesity and type 2 diabetes in humans. We consider the potential of inhibition of 11βHSD1 as a therapeutic strategy that might address multiple complications in patients with type 2 diabetes, and provide our thoughts on future directions in this field.

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

Geographical breakdown

Country Count As %
Chile 1 2%
Unknown 62 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 17%
Student > Ph. D. Student 10 16%
Researcher 8 13%
Student > Master 6 10%
Professor 5 8%
Other 8 13%
Unknown 15 24%
Readers by discipline Count As %
Medicine and Dentistry 21 33%
Agricultural and Biological Sciences 12 19%
Nursing and Health Professions 3 5%
Biochemistry, Genetics and Molecular Biology 3 5%
Psychology 2 3%
Other 4 6%
Unknown 18 29%
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 21 May 2014.
All research outputs
#15,301,167
of 22,756,196 outputs
Outputs from Diabetologia
#4,448
of 5,032 outputs
Outputs of similar age
#134,730
of 228,046 outputs
Outputs of similar age from Diabetologia
#55
of 72 outputs
Altmetric has tracked 22,756,196 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 5,032 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.6. 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 228,046 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.