Bruna Savioli, Heron Fernandes Vieira Torquato, Edgar Julian Paredes-Gamero, Andréia Fabiana do Vale Franco, Carolina de Oliveira Gigek, Ricardo Artigiani Neto, Alexandre Wagner Silva de Souza
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CD3+ T cells, CD3+CD4- T cells, CD4+ T cells, and Th1, Th2, and Th17 cells were evaluated in peripheral blood by flow cytometry, and the expression of CD4, CD8, Tbet, GATA-3, and RORγT was analyzed in the aorta of six patients by immunohistochemistry. TAK patients presented lower CD3+ T cells and CD4+ T cells (P = 0.031 and P = 0.039, respectively) than controls. Patients with active disease and those in remission had higher proportions of Th17 cells than controls (P = 0.016 and P = 0.004, respectively). Therapy for TAK did not result in significant differences concerning CD4+ effector T-cell subpopulations. Disease duration correlated with the number and percentage of Th2 cells (rho = -0.610 and rho = -0.463, respectively) and with Th17 cells (rho = -0.365 and rho = -0.568). In the aorta, the expression of CD8 was higher than CD4, whereas GATA-3, Tbet, and RORγT were expressed in this order of frequency. 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引用次数: 0
摘要
高安动脉炎(TAK)是一种影响大动脉的肉芽肿性血管炎。T细胞在TAK病理生理学中起着重要作用,因为这些细胞能协调动脉中的肉芽肿浸润。本研究旨在评估 TAK 患者外周血和主动脉壁中的效应 CD4+ T 细胞,并分析其与疾病活动和治疗的关系。我们进行了一项纵向研究,其中包括 30 名 TAK 患者和 30 名对照组。通过流式细胞术评估了外周血中的CD3+ T细胞、CD3+CD4- T细胞、CD4+ T细胞以及Th1、Th2和Th17细胞,并通过免疫组化分析了6名患者主动脉中CD4、CD8、Tbet、GATA-3和RORγT的表达。与对照组相比,TAK 患者的 CD3+ T 细胞和 CD4+ T 细胞数量较低(分别为 p=0.031 和 p=0.039)。活动期患者和缓解期患者的Th17细胞比例高于对照组(分别为p=0.016和p=0.004)。TAK治疗并未导致CD4+效应T细胞亚群的显著差异。疾病持续时间与Th2细胞的数量和百分比相关(rho=-0.610和rho=-0.463),与Th17细胞相关(rho=-0.365和rho=-0.568)。在主动脉中,CD8的表达高于CD4,而GATA-3、Tbet和RORγT的表达频率依次为CD4、Tbet和RORγT。总之,无论疾病活动如何,TAK 患者外周血中 Th17 反应增加,而在主动脉组织中 CD8 细胞和 Th2 反应占主导地位。
Effector CD4+ T-cell subsets in Takayasu arteritis-differences between the peripheral blood and the aorta.
Takayasu arteritis (TAK) is a granulomatous vasculitis that affects large arteries. T cells are important in TAK pathophysiology as these cells orchestrate granulomatous infiltration in arteries. This study aims to evaluate effector CD4+ T cells in the peripheral blood and the aortic wall of TAK patients and to analyze associations with disease activity and therapy. We performed a longitudinal study including 30 TAK patients and 30 controls. CD3+ T cells, CD3+CD4- T cells, CD4+ T cells, and Th1, Th2, and Th17 cells were evaluated in peripheral blood by flow cytometry, and the expression of CD4, CD8, Tbet, GATA-3, and RORγT was analyzed in the aorta of six patients by immunohistochemistry. TAK patients presented lower CD3+ T cells and CD4+ T cells (P = 0.031 and P = 0.039, respectively) than controls. Patients with active disease and those in remission had higher proportions of Th17 cells than controls (P = 0.016 and P = 0.004, respectively). Therapy for TAK did not result in significant differences concerning CD4+ effector T-cell subpopulations. Disease duration correlated with the number and percentage of Th2 cells (rho = -0.610 and rho = -0.463, respectively) and with Th17 cells (rho = -0.365 and rho = -0.568). In the aorta, the expression of CD8 was higher than CD4, whereas GATA-3, Tbet, and RORγT were expressed in this order of frequency. In conclusion, TAK patients present an increased Th17 response in the peripheral blood regardless of disease activity, whereas in the aortic tissue CD8 cells and the Th2 response were predominant.
期刊介绍:
Clinical & Experimental Immunology (established in 1966) is an authoritative international journal publishing high-quality research studies in translational and clinical immunology that have the potential to transform our understanding of the immunopathology of human disease and/or change clinical practice.
The journal is focused on translational and clinical immunology and is among the foremost journals in this field, attracting high-quality papers from across the world. Translation is viewed as a process of applying ideas, insights and discoveries generated through scientific studies to the treatment, prevention or diagnosis of human disease. Clinical immunology has evolved as a field to encompass the application of state-of-the-art technologies such as next-generation sequencing, metagenomics and high-dimensional phenotyping to understand mechanisms that govern the outcomes of clinical trials.