Title |
Yersinia pseudotuberculosis supports Th17 differentiation and limits de novo regulatory T cell induction by directly interfering with T cell receptor signaling
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Published in |
Cellular and Molecular Life Sciences, April 2017
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DOI | 10.1007/s00018-017-2516-y |
Pubmed ID | |
Authors |
Maria Pasztoi, Agnes Bonifacius, Joern Pezoldt, Devesha Kulkarni, Jana Niemz, Juhao Yang, René Teich, Janina Hajek, Fabio Pisano, Manfred Rohde, Petra Dersch, Jochen Huehn |
Abstract |
Adaptive immunity critically contributes to control acute infection with enteropathogenic Yersinia pseudotuberculosis; however, the role of CD4(+) T cell subsets in establishing infection and allowing pathogen persistence remains elusive. Here, we assessed the modulatory capacity of Y. pseudotuberculosis on CD4(+) T cell differentiation. Using in vivo assays, we report that infection with Y. pseudotuberculosis resulted in enhanced priming of IL-17-producing T cells (Th17 cells), whereas induction of Foxp3(+) regulatory T cells (Tregs) was severely disrupted in gut-draining mesenteric lymph nodes (mLNs), in line with altered frequencies of tolerogenic and proinflammatory dendritic cell (DC) subsets within mLNs. Additionally, by using a DC-free in vitro system, we could demonstrate that Y. pseudotuberculosis can directly modulate T cell receptor (TCR) downstream signaling within naïve CD4(+) T cells and Tregs via injection of effector molecules through the type III secretion system, thereby affecting their functional properties. Importantly, modulation of naïve CD4(+) T cells by Y. pseudotuberculosis resulted in an enhanced Th17 differentiation and decreased induction of Foxp3(+) Tregs in vitro. These findings shed light to the adjustment of the Th17-Treg axis in response to acute Y. pseudotuberculosis infection and highlight the direct modulation of CD4(+) T cell subsets by altering their TCR downstream signaling. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 4 | 19% |
Researcher | 3 | 14% |
Professor | 2 | 10% |
Student > Doctoral Student | 2 | 10% |
Student > Bachelor | 1 | 5% |
Other | 4 | 19% |
Unknown | 5 | 24% |
Readers by discipline | Count | As % |
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Immunology and Microbiology | 6 | 29% |
Biochemistry, Genetics and Molecular Biology | 3 | 14% |
Agricultural and Biological Sciences | 3 | 14% |
Medicine and Dentistry | 3 | 14% |
Unknown | 6 | 29% |