提吉特
自身免疫
生物
细胞毒性T细胞
细胞生物学
癌症研究
癌症免疫疗法
免疫学
免疫系统
CD8型
免疫疗法
体外
生物化学
作者
Daniel Álvarez‐Sierra,Nerea Sánchez-Gaona,María Cruz Cobo,Alba Escriche,María Abad,Aroa Gómez,Irene Bello,Enric Caubet,Óscar González,Carles Zafón,Carmela Iglesias,Pablo Moreno,Anna Petit,Marco A. Fernández,Mónica Martínez‐Gallo,Ricardo Pujol‐Borrell
标识
DOI:10.1016/j.jaut.2023.103013
摘要
Immune Checkpoint Receptors include a number of inhibitory receptors that limit tissue damage during immune responses; blocking PD-1/PD-L1 checkpoint receptor axis led to a paradigm shift in cancer immunotherapy but also to autoimmune adverse effects, prominently thyroid autoimmunity. Although PD-L1 is known to be expressed on thyroid follicular cells (TFCs) of autoimmune glands the role on PD-1/PD-L1 in the interaction between T cells and thyroid cells in the tissue has not been investigated. Here we report that autologous primary TFCs, but not transformed TFCs, inhibit CD4 and CD8 T cell proliferation but no cytokine production. This effect is not, however, mediated by PD-1/PD-L1 nor locally produced cytokines. Beta galactosidase analysis excluded culture-induced senescence as an explanation. High resolution flow cytometry demonstrated that autologous TFC/T cells co-culture induced the expansion of several clusters of double negative (DN) T cells characterized by high expression of activation markers and negative immune checkpoints. Single cell transcriptomic profiling demonstrated that dissociated TFC express numerous candidate molecules for mediating this suppressive activity, including CD40, E-Cadherin and TIGIT ligands. These ligands directly or through the generation of a suppressor population of DN T cells, and not the PD-1/PD-L1 axis, are most likely the responsible of TFC immunosuppressive activity. These results contribute to reveal the complex network of inhibitory mechanism that operate at the tissue level to restrain autoimmunity but also point to pathways, other that PD-1/PD-L1, that can contribute to tumor evasion.
科研通智能强力驱动
Strongly Powered by AbleSci AI