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Attention Score in Context
| Title |
Nur77-mediated TRAF6 signalling protects against LPS-induced sepsis in mice
|
|---|---|
| Published in |
Journal of Inflammation, February 2016
|
| DOI | 10.1186/s12950-016-0112-9 |
| Pubmed ID | |
| Authors |
Xiu-Ming Li, Shen Zhang, Xiao-Shun He, Peng-Da Guo, Xing-Xing Lu, Jing-Ru Wang, Jian-Ming Li, Hua Wu |
| Abstract |
Nur77, a key member of the NR4A receptor subfamily, is involved in the regulation of inflammation and immunity. However, the in vivo regulatory roles of Nur77 in sepsis and the mechanisms involved remains largely elusive. In this study, we used Nur77-deficient (Nur77(-/-)) mice and investigated the function of Nur77 in sepsis. Compared to wild-type (Nur77(+/+)) mice, Nur77(-/-) mice are more susceptible to LPS-induced sepsis and acute liver inflammation. Mechanistically, we observed that Nur77 can interact with TRAF6, a crucial adaptor molecule in the Toll-like receptor-interleukin 1 receptor (TLR-IL-1R) signalling pathway, in in vivo mouse model of sepsis. The interaction may affect TRAF6 auto-ubiquitination, thereby inhibiting NF-κB activation and pro-inflammatory cytokines production. These in vivo observations reveals an important protective role for Nur77 in LPS-induced sepsis through its regulation to TRAF6 signalling, and highlights the potential clinical application of Nur77 as a molecular target in prevention and/or treatment of sepsis. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 36% |
| Student > Master | 3 | 27% |
| Student > Bachelor | 2 | 18% |
| Unknown | 2 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 27% |
| Agricultural and Biological Sciences | 3 | 27% |
| Immunology and Microbiology | 2 | 18% |
| Psychology | 1 | 9% |
| Medicine and Dentistry | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 1 | 9% |
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 02 February 2016.
All research outputs
#20,653,708
of 25,371,288 outputs
Outputs from Journal of Inflammation
#278
of 425 outputs
Outputs of similar age
#300,210
of 405,913 outputs
Outputs of similar age from Journal of Inflammation
#4
of 9 outputs
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So far Altmetric has tracked 425 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.