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Increased T cell Immunoglobulin and Mucin Domain 3 Positively Correlate with Systemic IL-17 and TNF-α Level in the Acute Phase of Ischemic Stroke

Overview of attention for article published in Journal of Clinical Immunology, April 2011
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Title
Increased T cell Immunoglobulin and Mucin Domain 3 Positively Correlate with Systemic IL-17 and TNF-α Level in the Acute Phase of Ischemic Stroke
Published in
Journal of Clinical Immunology, April 2011
DOI 10.1007/s10875-011-9534-6
Pubmed ID
Authors

Di Zhao, Nan Hou, Min Cui, Ying Liu, Xiaohong Liang, Xuewei Zhuang, Yuanyuan Zhang, Lining Zhang, Deling Yin, Lifen Gao, Yun Zhang, Chunhong Ma

Abstract

Tim-3 has been linked to several inflammatory diseases by regulation on both adaptive and innate immunities. Here, we assessed the augmented expression of Tim-3 in brain tissue of ischemia-reperfusion mice and PBMCs of ischemic stroke (IS) patients. The augmented expression of Tim-3 significantly correlated with abnormal lipid levels. In vitro studies showed that plasma from ischemic stroke patients induced Tim-3 expression in THP-1 cells. More importantly, our results revealed a significant correlation of Tim-3 expression on CD4(+) T cells with systemic IL-17 in patients with ischemic stroke. Consistently, we also found a positive correlation of Tim-3 expression on CD14(+) monocytes and serum TNF-α in IS patients. Collectively, augmented expression of Tim-3 may play an important role in the pathogenesis of ischemic stroke by regulation of proinflammatory cytokines. Further studies will give us new insights on the pathogenesis of ischemic stroke and potentially provide a new target at the medical therapy.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 24%
Student > Ph. D. Student 5 24%
Professor > Associate Professor 2 10%
Other 2 10%
Student > Doctoral Student 1 5%
Other 4 19%
Unknown 2 10%
Readers by discipline Count As %
Neuroscience 5 24%
Medicine and Dentistry 4 19%
Agricultural and Biological Sciences 4 19%
Veterinary Science and Veterinary Medicine 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 1 5%
Unknown 5 24%