↓ Skip to main content

CD36 Shunts Eicosanoid Metabolism to Repress CD14 Licensed Interleukin-1β Release and Inflammation

Overview of attention for article published in Frontiers in immunology, April 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
41 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
CD36 Shunts Eicosanoid Metabolism to Repress CD14 Licensed Interleukin-1β Release and Inflammation
Published in
Frontiers in immunology, April 2018
DOI 10.3389/fimmu.2018.00890
Pubmed ID
Authors

Karina F. Zoccal, Luiz G. Gardinassi, Carlos A. Sorgi, Alyne F. G. Meirelles, Karla C. F. Bordon, Isaias Glezer, Palmira Cupo, Alessandra K. Matsuno, Valdes R. Bollela, Eliane C. Arantes, Francisco S. Guimarães, Lúcia Helena Faccioli

Abstract

Interleukin (IL)-1β is a potential target for treatment of several inflammatory diseases, including envenomation by the scorpion Tityus serrulatus. In this context, bioactive lipids such as prostaglandin (PG)E2 and leukotriene (LT)B4 modulate the production of IL-1β by innate immune cells. Pattern recognition receptors (PRRs) that perceive T. serrulatus venom (TsV), and orchestrate LTB4, PGE2, and cyclic adenosine monophosphate (cAMP) production to regulate IL-1β release are unknown. Furthermore, molecular mechanisms driving human cell responses to TsV remain uncharacterized. Here, we identified that both CD14 and CD36 control the synthesis of bioactive lipids, inflammatory cytokines, and mortality mediated by TsV. CD14 induces PGE2/cAMP/IL-1β release and inflammation. By contrast, CD36 shunts eicosanoid metabolism toward production of LTB4, which represses the PGE2/cAMP/IL-1β axis and mortality. Of importance, the molecular mechanisms observed in mice strongly correlate with those of human cell responses to TsV. Overall, this study provides major insights into molecular mechanisms connecting CD14 and CD36 with differential eicosanoid metabolism and inflammation mediated by IL-1β.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 17%
Student > Bachelor 5 12%
Student > Doctoral Student 3 7%
Researcher 3 7%
Professor 2 5%
Other 7 17%
Unknown 14 34%
Readers by discipline Count As %
Immunology and Microbiology 8 20%
Biochemistry, Genetics and Molecular Biology 6 15%
Medicine and Dentistry 4 10%
Agricultural and Biological Sciences 4 10%
Pharmacology, Toxicology and Pharmaceutical Science 3 7%
Other 2 5%
Unknown 14 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 April 2022.
All research outputs
#15,097,241
of 25,382,440 outputs
Outputs from Frontiers in immunology
#13,916
of 31,537 outputs
Outputs of similar age
#178,962
of 339,645 outputs
Outputs of similar age from Frontiers in immunology
#389
of 708 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,537 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 54% 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 339,645 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 708 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.