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Human macrophages differentially produce specific resolvin or leukotriene signals that depend on bacterial pathogenicity

Overview of attention for article published in Nature Communications, January 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

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8 news outlets
blogs
1 blog
twitter
15 X users
video
1 YouTube creator

Citations

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215 Dimensions

Readers on

mendeley
192 Mendeley
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Title
Human macrophages differentially produce specific resolvin or leukotriene signals that depend on bacterial pathogenicity
Published in
Nature Communications, January 2018
DOI 10.1038/s41467-017-02538-5
Pubmed ID
Authors

Oliver Werz, Jana Gerstmeier, Stephania Libreros, Xavier De la Rosa, Markus Werner, Paul C. Norris, Nan Chiang, Charles N. Serhan

Abstract

Proinflammatory eicosanoids (prostaglandins and leukotrienes) and specialized pro-resolving mediators (SPM) are temporally regulated during infections. Here we show that human macrophage phenotypes biosynthesize unique lipid mediator signatures when exposed to pathogenic bacteria. E. coli and S. aureus each stimulate predominantly proinflammatory 5-lipoxygenase (LOX) and cyclooxygenase pathways (i.e., leukotriene B4 and prostaglandin E2) in M1 macrophages. These pathogens stimulate M2 macrophages to produce SPMs including resolvin D2 (RvD2), RvD5, and maresin-1. E. coli activates M2 macrophages to translocate 5-LOX and 15-LOX-1 to different subcellular locales in a Ca2+-dependent manner. Neither attenuated nor non-pathogenic E. coli mobilize Ca2+ or activate LOXs, rather these bacteria stimulate prostaglandin production. RvD5 is more potent than leukotriene B4 at enhancing macrophage phagocytosis. These results indicate that M1 and M2 macrophages respond to pathogenic bacteria differently, producing either leukotrienes or resolvins that further distinguish inflammatory or pro-resolving phenotypes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 192 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 192 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 18%
Student > Ph. D. Student 33 17%
Student > Master 21 11%
Student > Doctoral Student 17 9%
Student > Bachelor 17 9%
Other 26 14%
Unknown 43 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 40 21%
Immunology and Microbiology 27 14%
Agricultural and Biological Sciences 21 11%
Pharmacology, Toxicology and Pharmaceutical Science 16 8%
Medicine and Dentistry 12 6%
Other 25 13%
Unknown 51 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 69. 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 27 October 2023.
All research outputs
#630,900
of 25,732,188 outputs
Outputs from Nature Communications
#10,896
of 58,264 outputs
Outputs of similar age
#14,343
of 452,745 outputs
Outputs of similar age from Nature Communications
#280
of 1,297 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 58,264 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.4. This one has done well, scoring higher than 81% 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 452,745 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 1,297 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.