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Deficiency in plasmacytoid dendritic cells and type I interferon signalling prevents diet-induced obesity and insulin resistance in mice

Overview of attention for article published in Diabetologia, June 2017
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Title
Deficiency in plasmacytoid dendritic cells and type I interferon signalling prevents diet-induced obesity and insulin resistance in mice
Published in
Diabetologia, June 2017
DOI 10.1007/s00125-017-4341-0
Pubmed ID
Authors

Tine D. Hannibal, Anja Schmidt-Christensen, Julia Nilsson, Nina Fransén-Pettersson, Lisbeth Hansen, Dan Holmberg

Abstract

Obesity is associated with glucose intolerance and insulin resistance and is closely linked to the increasing prevalence of type 2 diabetes. In mouse models of diet-induced obesity (DIO) and type 2 diabetes, an increased fat intake results in adipose tissue expansion and the secretion of proinflammatory cytokines. The innate immune system not only plays a crucial role in obesity-associated chronic low-grade inflammation but it is also proposed to play a role in modulating energy metabolism. However, little is known about how the modulation of metabolism by the immune system may promote increased adiposity in the early stages of increased dietary intake. Here we aimed to define the role of type I IFNs in DIO and insulin resistance. Mice lacking the receptor for IFN-α (IFNAR(-/-)) and deficient in plasmacytoid dendritic cells (pDCs) (B6.E2-2 (fl/fl) .Itgax-cre) were fed a diet with a high fat content or normal chow. The mice were analysed in vivo and in vitro using cellular, biochemical and molecular approaches. We found that the development of obesity was inhibited by an inability to respond to type I IFNs. Furthermore, the development of obesity and insulin resistance in this model was associated with pDC recruitment to the fatty tissues and liver of obese mice (a 4.3-fold and 2.7-fold increase, respectively). Finally, we demonstrated that the depletion of pDCs protects mice from DIO and from developing obesity-associated metabolic complications. Our results provide genetic evidence that pDCs, via type I IFNs, regulate energy metabolism and promote the development of obesity.

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The data shown below were collected from the profiles of 4 X users 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 21%
Researcher 10 18%
Student > Bachelor 8 14%
Student > Master 5 9%
Student > Doctoral Student 4 7%
Other 4 7%
Unknown 14 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 25%
Immunology and Microbiology 8 14%
Medicine and Dentistry 6 11%
Agricultural and Biological Sciences 6 11%
Nursing and Health Professions 2 4%
Other 5 9%
Unknown 16 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 June 2018.
All research outputs
#13,559,942
of 22,985,065 outputs
Outputs from Diabetologia
#4,272
of 5,085 outputs
Outputs of similar age
#160,816
of 315,511 outputs
Outputs of similar age from Diabetologia
#85
of 87 outputs
Altmetric has tracked 22,985,065 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,085 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.7. This one is in the 15th percentile – i.e., 15% 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 315,511 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.