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Yeast (Saccharomyces cerevisiae) Polarizes Both M-CSF- and GM-CSF-Differentiated Macrophages Toward an M1-Like Phenotype

Overview of attention for article published in Inflammation, July 2016
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Title
Yeast (Saccharomyces cerevisiae) Polarizes Both M-CSF- and GM-CSF-Differentiated Macrophages Toward an M1-Like Phenotype
Published in
Inflammation, July 2016
DOI 10.1007/s10753-016-0404-5
Pubmed ID
Authors

Michelle Seif, Anja Philippi, Frank Breinig, Alexandra K. Kiemer, Jessica Hoppstädter

Abstract

Macrophages are a heterogeneous and plastic cell population with two main phenotypes: pro-inflammatory classically activated macrophages (M1) and anti-inflammatory alternatively activated macrophages (M2). Saccharomyces cerevisiae is a promising vehicle for the delivery of vaccines. It is well established that S. cerevisiae is taken up by professional phagocytic cells. However, the response of human macrophages to S. cerevisiae is ill-defined. In this study, we characterized the interaction between S. cerevisiae and M1- or M2-like macrophages. M1-like macrophages had a higher yeast uptake capacity than M2-like macrophages, but both cell types internalized opsonized yeast to the same extent. The M1 surface markers HLAII and CD86 were upregulated after yeast uptake in M1- and M2-like macrophages. Moreover, mRNA expression levels of pro-inflammatory cytokines, such as TNF-α, IL-12, and IL-6, increased, whereas the expression of anti-inflammatory mediators did not change. These results demonstrate that S. cerevisiae can target both M1 and M2 macrophages, paralleled by skewing toward an M1 phenotype. Thus, the use of yeast-based delivery systems might be a promising approach for the treatment of pathologic conditions that would benefit from the presence of M1-polarized macrophages, such as cancer.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 23%
Researcher 6 19%
Student > Ph. D. Student 4 13%
Other 2 6%
Student > Doctoral Student 2 6%
Other 2 6%
Unknown 8 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 26%
Biochemistry, Genetics and Molecular Biology 5 16%
Medicine and Dentistry 4 13%
Immunology and Microbiology 3 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Other 0 0%
Unknown 9 29%
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 17 July 2016.
All research outputs
#20,335,770
of 22,880,691 outputs
Outputs from Inflammation
#715
of 1,052 outputs
Outputs of similar age
#310,050
of 355,956 outputs
Outputs of similar age from Inflammation
#10
of 17 outputs
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