Title |
IL-33/ST2 plays a critical role in endothelial cell activation and microglia-mediated neuroinflammation modulation
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Published in |
Journal of Neuroinflammation, May 2018
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DOI | 10.1186/s12974-018-1169-6 |
Pubmed ID | |
Authors |
Kelei Cao, Xiang Liao, Jiahui Lu, Shu Yao, Fengjiao Wu, Xingxing Zhu, Dongyan Shi, Shuang Wen, Lixin Liu, Hong Zhou |
Abstract |
Interleukin-33 (IL-33) is increasingly being recognized as a key immunomodulatory cytokine in many neurological diseases. In the present study, wild-type (WT) and IL-33-/- mice received intracerebroventricular (i.c.v.) injection of lipopolysaccharide (LPS) to induce neuroinflammation. Intravital microscopy was employed to examine leukocyte-endothelial interactions in the brain vasculature. The degree of neutrophil infiltration was determined by myeloperoxidase (MPO) staining. Real-time PCR and western blotting were used to detect endothelial activation. Enzyme-linked immunosorbent assay and quantitative PCR were conducted to detect pro-inflammatory cytokine levels in the brain. In IL-33-/- mice, neutrophil infiltration in the brain cortex and leukocyte-endothelial cell interactions in the cerebral microvessels were significantly decreased as compared to WT mice after LPS injection. In addition, IL-33-/- mice showed reduced activation of microglia and cerebral endothelial cells. In vitro results indicated that IL-33 directly activated cerebral endothelial cells and promoted pro-inflammatory cytokine production in LPS-stimulated microglia. Our study indicated that IL-33/ST2 signaling plays an important role in the activation of microglia and cerebral endothelial cells and, therefore, is essential in leukocyte recruitment in brain inflammation. The role of IL-33/ST2 in LPS induced neuroinflammation. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 66 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 24% |
Student > Master | 11 | 17% |
Student > Bachelor | 7 | 11% |
Researcher | 7 | 11% |
Student > Doctoral Student | 5 | 8% |
Other | 11 | 17% |
Unknown | 9 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Immunology and Microbiology | 14 | 21% |
Medicine and Dentistry | 10 | 15% |
Biochemistry, Genetics and Molecular Biology | 9 | 14% |
Agricultural and Biological Sciences | 7 | 11% |
Neuroscience | 7 | 11% |
Other | 7 | 11% |
Unknown | 12 | 18% |