Title |
WNT5A transforms intestinal CD8αα+ IELs into an unconventional phenotype with pro-inflammatory features
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Published in |
BMC Gastroenterology, December 2015
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DOI | 10.1186/s12876-015-0402-3 |
Pubmed ID | |
Authors |
Di Zhao, Antao Xu, Zhanghan Dai, Jiangchen Peng, Mingming Zhu, Jun Shen, Qing Zheng, Zhihua Ran |
Abstract |
Intestinal intraepithelial lymphocytes that reside within the epithelium of the intestine form one of the main branches of the immune system. A majority of IELs express CD8α homodimer together with other molecules associated with immune regulation. Growing evidence points to the WNT signaling pathway as a pivotal piece in the immune balance and focuses on its direct regulation in intestinal epithelium. Therefore we decided to investigate its role in IELs' immune status determination. DSS colitis was induced in male C57BL mice. IELs were isolated from colon samples using mechanical dissociation followed by percoll gradient purification and Magnetic-activated cell sorting. Phenotype and cytokine production and condition with Wnts were analyzed by flow cytometry, real-time PCR or ELISA. Proliferation of lymphocytes were evaluated using CFSE dilution. Cell responses after WNT pathway interference were also evaluated. Non-canonical WNT pathway elements represented by FZD5, WNT5A and NFATc1 were remarkably elevated in colitis IELs. The non-canonical WNT5A skewed them into a pro-inflammatory category as measured by inhibitory cell surface marker LAG3, LY49E, NKG2A and activated marker CD69 and FASL. Gaining of a pro-inflammatory marker was correlated with increased IFN-γ production but not TNF whilst decreased TGF-β and IL-10. Both interrupting WNT5A/PKC pathway and adding canonical WNT stimulants could curtail its immune-activating effect. Canonical and non-canonical WNT signals act in opposing manners concerning determining CD8αα(+) IELs immune status. Targeting non-canonical WNT pathway may be promising in tackling inflammatory bowel disease. |
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Members of the public | 2 | 100% |
Mendeley readers
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Unknown | 20 | 100% |
Demographic breakdown
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Student > Bachelor | 4 | 20% |
Student > Ph. D. Student | 3 | 15% |
Researcher | 3 | 15% |
Student > Master | 2 | 10% |
Professor | 1 | 5% |
Other | 2 | 10% |
Unknown | 5 | 25% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 4 | 20% |
Biochemistry, Genetics and Molecular Biology | 3 | 15% |
Immunology and Microbiology | 2 | 10% |
Agricultural and Biological Sciences | 2 | 10% |
Psychology | 1 | 5% |
Other | 1 | 5% |
Unknown | 7 | 35% |