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Neutrophil extracellular traps potentiate effector T cells via endothelial senescence in uveitis
Zuoyi Li, Zhuang Li, Yunwei Hu, Yanyan Xie, Yuxun Shi, Guanyu Chen, Jun Huang, Zhiqiang Xiao, Wenjie Zhu, Haixiang Huang, Minzhen Wang, Jianping Chen, Xiaoqing Chen, Dan Liang
Zuoyi Li, Zhuang Li, Yunwei Hu, Yanyan Xie, Yuxun Shi, Guanyu Chen, Jun Huang, Zhiqiang Xiao, Wenjie Zhu, Haixiang Huang, Minzhen Wang, Jianping Chen, Xiaoqing Chen, Dan Liang
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Research Article Ophthalmology

Neutrophil extracellular traps potentiate effector T cells via endothelial senescence in uveitis

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Abstract

Autoimmune uveitis (AU) is a sight-threatening ocular autoimmune disorder that often manifests as retinal vasculitis. Increased neutrophil infiltration around retinal vessels has been reported during the progression of AU, while how they function is not fully recognized. Neutrophil extracellular traps (NETs), produced by activated neutrophils, have been suggested to be detrimental in autoimmune diseases. Here, we found that NETs were elevated in patients with active AU, and this was verified in an experimental AU (EAU) mouse model. Depletion of neutrophils or degradation of NETs with deoxyribonuclease-I (DNase I) could decrease CD4+ effector T cell (Teff) infiltration in retina and spleen to alleviate EAU. Moreover, we found that the expression of adhesion molecules, selectin, and antigen-presenting molecules was elevated in EAU retina and in retinal microvascular endothelial cells (RMECs) cocultured with NETs. The stimulated RMECs further facilitated CD4+ T cell adhesion, activation, and differentiation into Teffs. Mechanistically, NETs trigger RMEC activation by hastening cell senescence through the cyclic GMP-AMP synthase (cGAS)/stimulator of interferon genes (STING) pathway. Slowing down senescence or inhibiting the cGAS/STING pathway in RMECs reduces the activation and differentiation of CD4+ T cells. These results suggest a deleterious role of NETs in AU. Targeting NETs would offer an effective therapeutic method.

Authors

Zuoyi Li, Zhuang Li, Yunwei Hu, Yanyan Xie, Yuxun Shi, Guanyu Chen, Jun Huang, Zhiqiang Xiao, Wenjie Zhu, Haixiang Huang, Minzhen Wang, Jianping Chen, Xiaoqing Chen, Dan Liang

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