Title |
Human macrophages differentially produce specific resolvin or leukotriene signals that depend on bacterial pathogenicity
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Published in |
Nature Communications, January 2018
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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
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 40% |
United Kingdom | 1 | 7% |
Sweden | 1 | 7% |
Puerto Rico | 1 | 7% |
Unknown | 6 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 47% |
Scientists | 5 | 33% |
Science communicators (journalists, bloggers, editors) | 2 | 13% |
Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
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% |