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γδ T cells as early sensors of tissue damage and mediators of secondary neurodegeneration

Overview of attention for article published in Frontiers in Cellular Neuroscience, November 2014
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Title
γδ T cells as early sensors of tissue damage and mediators of secondary neurodegeneration
Published in
Frontiers in Cellular Neuroscience, November 2014
DOI 10.3389/fncel.2014.00368
Pubmed ID
Authors

Mathias Gelderblom, Priyadharshini Arunachalam, Tim Magnus

Abstract

Spontaneous or medically induced reperfusion occurs in up to 70% of patients within 24 h after cerebral ischemia. Reperfusion of ischemic brain tissue can augment the inflammatory response that causes additional injury. Recently, T cells have been shown to be an essential part of the post-ischemic tissue damage, and especially IL-17 secreting T cells have been implicated in the pathogenesis of a variety of inflammatory reactions in the brain. After stroke, it seems that the innate γδ T cells are the main IL-17 producing cells and that the γδ T cell activation constitutes an early and mainly damaging immune response in stroke. Effector mechanism of γδ T cell derived IL-17 in the ischemic brain include the induction of metalloproteinases, proinflammatory cytokines and neutrophil attracting chemokines, leading to a further amplification of the detrimental inflammatory response. In this review, we will give an overview on the concepts of γδ T cells and IL-17 in stroke pathophysiology and on their potential importance for human disease conditions.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 2%
Unknown 59 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 23%
Researcher 9 15%
Student > Doctoral Student 8 13%
Student > Master 6 10%
Student > Postgraduate 4 7%
Other 8 13%
Unknown 11 18%
Readers by discipline Count As %
Neuroscience 13 22%
Immunology and Microbiology 11 18%
Medicine and Dentistry 11 18%
Biochemistry, Genetics and Molecular Biology 8 13%
Agricultural and Biological Sciences 4 7%
Other 2 3%
Unknown 11 18%