Objective: To quantify the levels of circulating exosomes derived from T-cells and monocytes and their possible associations with leukocyte subpopulations and cytokine milieu in Systemic Lupus Erythematosus (SLE). Methods: Total circulating exosomes (CD9(+)-Ex) and those derived from T-cells (CD3(+)-Ex) and monocytes (CD14(+)-Ex) were quantified by flow cytometry in 82 SLE patients and 32 controls. Leukocyte subsets and serum cytokines were analyzed by flow cytometry or by immunoassays. IFN-score was evaluated by real time RT-PCR in whole blood samples from a subgroup of 73 patients and 24 controls. Results: Activation markers (IFNR1 and BLyS) on monocytes, neutrophils and B-cells correlated inversely with circulating exosomes (CD9(+)-Ex, CD3(+)-Ex, and CD14(+)-Ex) in controls but directly with CD3(+)-Ex in patients (all p < 0.05). Although CD9(+)-Ex were increased in SLE, no differences were found in CD3(+)-Ex, supporting that exosome content accounts for this opposite role. Interestingly, CD4(+)CD28(null) cells correlated with CD3(+)-Ex in patients and controls, and displayed similar associations with leukocyte subsets in both groups. Additionally, CD3(+)-Ex correlated in patients with the expression of CD25 in CD4(+)CD28(null) cells. Furthermore, the activated status of this senescent subset was related to IFNα serum levels in controls and to IFN-score in SLE patients. Finally, patients presenting high IFN-score, in addition to elevated CD25(+)CD28(null) cells associated with the activation of myeloid cells, displayed higher levels of inflammatory cytokines and chemokines. Conclusion: Our results support a relationship between T-cell exosomes and cellular subsets in SLE according to type I IFN-signaling, which could amplify chronic immune activation and excessive cytokine/chemokine response.
Relationship Between T-Cell Exosomes and Cellular Subsets in SLE According to Type I IFN-Signaling.
根据 I 型 IFN 信号传导,SLE 中 T 细胞外泌体与细胞亚群的关系
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作者:López Patricia, RodrÃguez-Carrio Javier, Caminal-Montero Luis, Suárez Ana
| 期刊: | Frontiers in Medicine | 影响因子: | 3.000 |
| 时间: | 2020 | 起止号: | 2020 Nov 30; 7:604098 |
| doi: | 10.3389/fmed.2020.604098 | 研究方向: | 信号转导、细胞生物学 |
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