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Stat3β mitigates development of atherosclerosis in apolipoprotein E-deficient mice

Overview of attention for article published in Journal of Molecular Medicine, April 2013
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Title
Stat3β mitigates development of atherosclerosis in apolipoprotein E-deficient mice
Published in
Journal of Molecular Medicine, April 2013
DOI 10.1007/s00109-013-1013-5
Pubmed ID
Authors

Jihyun Lee, William M. Baldwin, Chih-Yuan Lee, Stephen Desiderio

Abstract

The transcription factor Stat3 is an activator of systemic inflammatory genes. Two isoforms of Stat3 are generated by alternative splicing, Stat3α and Stat3β. The β isoform lacks the transactivation domain but retains other functions, including dimerization and DNA binding. Stat3β-deficient mice exhibit elevated expression of systemic inflammatory genes and are hyperresponsive to lipopolysaccharide, suggesting that Stat3β functions predominantly as a suppressor of systemic inflammation. To test whether Stat3β deficiency would provoke pathologic effects associated with chronic inflammation, we asked whether selective removal of Stat3β would exacerbate the development of atherosclerosis in apolipoprotein E-deficient mice. In apoE(-/-)Stat3β(-/-) mice atherosclerotic plaque formation was significantly enhanced relative to apoE(-/-)Stat3β(+/+) controls. The ability of Stat3β deficiency to promote atherosclerosis was more pronounced in female mice, but could be unmasked in males by feeding a high fat diet. Infiltrating macrophages were not increased in aortas of apoE(-/-)Stat3β(-/-) mice. In contrast, the proportion of pro-inflammatory TH17 cells was significantly elevated in aortic infiltrates from apoE(-/-)Stat3β(-/-) mice, relative to paired apoE(-/-)Stat3β(+/+) littermates. These observations indicate that Stat3β can suppress pathologic sequelae associated with chronic inflammation. Our findings further suggest that in Stat3β-deficient mice the unopposed action of Stat3α may enhance atherogenesis in part by promoting differentiation of TH17 cells.

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Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 3%
Netherlands 1 3%
United States 1 3%
Unknown 27 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 30%
Student > Bachelor 6 20%
Student > Doctoral Student 4 13%
Student > Master 4 13%
Researcher 2 7%
Other 2 7%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 43%
Medicine and Dentistry 7 23%
Biochemistry, Genetics and Molecular Biology 3 10%
Chemistry 2 7%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 3 10%
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 29 April 2013.
All research outputs
#18,337,420
of 22,708,120 outputs
Outputs from Journal of Molecular Medicine
#1,248
of 1,548 outputs
Outputs of similar age
#146,069
of 194,058 outputs
Outputs of similar age from Journal of Molecular Medicine
#15
of 18 outputs
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So far Altmetric has tracked 1,548 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.