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IL-1β, But Not Programed Death-1 and Programed Death Ligand Pathway, Is Critical for the Human Th17 Response to Mycobacterium tuberculosis

Overview of attention for article published in Frontiers in immunology, November 2016
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Title
IL-1β, But Not Programed Death-1 and Programed Death Ligand Pathway, Is Critical for the Human Th17 Response to Mycobacterium tuberculosis
Published in
Frontiers in immunology, November 2016
DOI 10.3389/fimmu.2016.00465
Pubmed ID
Authors

Emmanuel Stephen-Victor, Varun Kumar Sharma, Mrinmoy Das, Anupama Karnam, Chaitrali Saha, Maxime Lecerf, Caroline Galeotti, Srinivas V. Kaveri, Jagadeesh Bayry

Abstract

The programed death-1 (PD-1)-programed death ligand-1 (PD-L1) and PD-L2 co-inhibitory pathway has been implicated in the evasion strategies of Mycobacterium tuberculosis. Specifically, M. tuberculosis-induced PD-L1 orchestrates expansion of regulatory T cells and suppression of Th1 response. However, the role of PD pathway in regulating Th17 response to M. tuberculosis has not been investigated. In the present report, we demonstrate that M. tuberculosis and M. tuberculosis-derived antigen fractions have differential abilities to mediate human monocyte- and dendritic cell (DC)-mediated Th17 response and were independent of expression of PD-L1 or PD-L2 on aforementioned antigen-presenting cells. Importantly, we observed that blockade of PD-L1 or PD-1 did not significantly modify either the frequencies of Th17 cells or the production of IL-17 from CD4(+) T cells though IFN-γ response was significantly enhanced. On the contrary, IL-1β from monocytes and DCs were critical for the Th17 response to M. tuberculosis. Together, our results indicate that IL-1β, but not members of the programed death pathway, is critical for human Th17 response to M. tuberculosis.

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Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 39 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 25%
Student > Ph. D. Student 6 15%
Student > Master 6 15%
Student > Doctoral Student 5 13%
Student > Bachelor 2 5%
Other 3 8%
Unknown 8 20%
Readers by discipline Count As %
Immunology and Microbiology 10 25%
Medicine and Dentistry 7 18%
Biochemistry, Genetics and Molecular Biology 5 13%
Agricultural and Biological Sciences 5 13%
Veterinary Science and Veterinary Medicine 2 5%
Other 3 8%
Unknown 8 20%