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Implication of inflammatory signaling pathways in obesity-induced insulin resistance

Overview of attention for article published in Frontiers in endocrinology, January 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

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1 X user
wikipedia
1 Wikipedia page

Citations

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165 Dimensions

Readers on

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256 Mendeley
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1 CiteULike
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Title
Implication of inflammatory signaling pathways in obesity-induced insulin resistance
Published in
Frontiers in endocrinology, January 2013
DOI 10.3389/fendo.2012.00181
Pubmed ID
Authors

Jean-François Tanti, Franck Ceppo, Jennifer Jager, Flavien Berthou

Abstract

Obesity is characterized by the development of a low-grade chronic inflammatory state in different metabolic tissues including adipose tissue and liver. This inflammation develops in response to an excess of nutrient flux and is now recognized as an important link between obesity and insulin resistance. Several dietary factors like saturated fatty acids and glucose as well as changes in gut microbiota have been proposed as triggers of this metabolic inflammation through the activation of pattern-recognition receptors (PRRs), including Toll-like receptors (TLR), inflammasome, and nucleotide oligomerization domain (NOD). The consequences are the production of pro-inflammatory cytokines and the recruitment of immune cells such as macrophages and T lymphocytes in metabolic tissues. Inflammatory cytokines activate several kinases like IKKβ, mTOR/S6 kinase, and MAP kinases as well as SOCS proteins that interfere with insulin signaling and action in adipocytes and hepatocytes. In this review, we summarize recent studies demonstrating that PRRs and stress kinases are important integrators of metabolic and inflammatory stress signals in metabolic tissues leading to peripheral and central insulin resistance and metabolic dysfunction. We discuss recent data obtained with genetically modified mice and pharmacological approaches suggesting that these inflammatory pathways are potential novel pharmacological targets for the management of obesity-associated insulin resistance.

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

Geographical breakdown

Country Count As %
India 2 <1%
United States 2 <1%
United Kingdom 1 <1%
Austria 1 <1%
Belgium 1 <1%
Mexico 1 <1%
Unknown 248 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 39 15%
Student > Bachelor 39 15%
Student > Ph. D. Student 36 14%
Researcher 30 12%
Student > Doctoral Student 23 9%
Other 49 19%
Unknown 40 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 69 27%
Biochemistry, Genetics and Molecular Biology 54 21%
Medicine and Dentistry 42 16%
Pharmacology, Toxicology and Pharmaceutical Science 10 4%
Immunology and Microbiology 9 4%
Other 28 11%
Unknown 44 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 05 February 2013.
All research outputs
#8,261,756
of 25,373,627 outputs
Outputs from Frontiers in endocrinology
#2,426
of 13,009 outputs
Outputs of similar age
#84,495
of 288,986 outputs
Outputs of similar age from Frontiers in endocrinology
#43
of 210 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 13,009 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 80% of its peers.
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 288,986 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.