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Tipping the inflammatory balance: inflammasome activation distinguishes metabolically unhealthy from healthy obesity

Overview of attention for article published in Diabetologia, September 2013
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Title
Tipping the inflammatory balance: inflammasome activation distinguishes metabolically unhealthy from healthy obesity
Published in
Diabetologia, September 2013
DOI 10.1007/s00125-013-3040-8
Pubmed ID
Authors

Rinke Stienstra, Norbert Stefan

Abstract

Expansion of adipose tissue mass, predominantly in the visceral depot, strongly associates with the development of metabolic complications that are often observed in obesity. In addition, in obesity, an increased prevalence of nonalcoholic fatty liver disease and reduced cardiorespiratory fitness are observed. However, not all obese individuals develop metabolic abnormalities. To better understand the molecular mechanisms that predispose obese humans to the development of metabolic diseases, comparing the metabolically healthy obese (MHO) vs an unhealthy obese phenotype (MUO) may be of great value. A new study by Esser et al (DOI: 10.1007/s00125-013-3023-9 ) now provides important evidence that the MHO phenotype is associated with a lower activation of the NOD-like receptor family pyrin domain containing-3 (NLPR3) inflammasome in macrophages of visceral adipose tissue and a more favourable inflammatory profile as compared with the MUO phenotype. This finding could promote novel studies in humans to decipher stimuli and mechanisms leading to increased inflammasome activity, not only in adipose tissue, but also in other organs that are involved in the regulation of metabolism.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Spain 1 2%
Unknown 43 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 22%
Researcher 7 16%
Professor > Associate Professor 5 11%
Student > Bachelor 4 9%
Professor 4 9%
Other 9 20%
Unknown 6 13%
Readers by discipline Count As %
Medicine and Dentistry 14 31%
Agricultural and Biological Sciences 10 22%
Biochemistry, Genetics and Molecular Biology 5 11%
Immunology and Microbiology 1 2%
Neuroscience 1 2%
Other 2 4%
Unknown 12 27%