Vitelli-Avelar D M, Sathler-Avelar R, Teixeira-Carvalho A, Pinto Dias J C, Gontijo E D, Faria A M, Elói-Santos S M, Martins-Filho O A
Laboratório de Biomarcadores de Diagnóstico e Monitoração, Instituto René Rachou, Fundação Oswaldo Cruz, Belo Horizontem, Minas Gerais, Brazil.
Scand J Immunol. 2008 Nov;68(5):516-25. doi: 10.1111/j.1365-3083.2008.02167.x. Epub 2008 Sep 18.
Herein we have employed an alternative strategy to assess the cytokine patterns of circulating leukocytes and correlate dominant cytokine profiles with indeterminate-IND and cardiac-CARD clinical forms of Chagas disease. We have first calculated median percentages of cytokine-positive leukocytes of our study sample to establish, for each cytokine-positive cell population, the cut-off edge that would segregate 'low' and 'high' cytokine producers to build colour diagrams and draw a panoramic cytokine chart. Using this approach we demonstrated that most IND individuals presented a dominant regulatory cytokine profile, whereas CARD individuals displayed a dominant inflammatory cytokine pattern. In addition, radar chart analysis confirmed the dichotomic cytokine balance between IND and CARD groups and further allowed the identification of the relative contribution of each cell population for the global cytokine pattern. Data analysis demonstrated that CD4+ T cells were the major cell population defining the regulatory profile in IND, whereas monocytes and CD4+ T cells determined the inflammatory cytokine pattern in CARD individuals. Interestingly, in vitro stimulation with trypomastigote Trypanosoma cruzi antigen was able to invert the cytokine balances in IND and CARD groups. Upon antigenic stimulation, changes in the frequencies of IL-10-producing CD4+ T cells and monocytes drove IND individuals towards an inflammatory pattern and CARD towards a regulatory cytokine profile. A similar inversion could be found after in vivo treatment of IND and CARD individuals with benzonidazole. Altogether, these findings shed some light into the complex cytokine network underlying the immunopathogenesis of Chagas disease and provide putative immunological biomarkers of disease severity and therapeutic response.
在此,我们采用了一种替代策略来评估循环白细胞的细胞因子模式,并将主要的细胞因子谱与恰加斯病的不确定型(IND)和心脏型(CARD)临床形式相关联。我们首先计算了研究样本中细胞因子阳性白细胞的中位数百分比,以便为每个细胞因子阳性细胞群体确定区分“低”和“高”细胞因子产生者的临界值,从而构建彩色图表并绘制全景细胞因子图。使用这种方法,我们证明大多数IND个体呈现出主要的调节性细胞因子谱,而CARD个体则表现出主要的炎性细胞因子模式。此外,雷达图分析证实了IND和CARD组之间细胞因子平衡的二分法,并进一步确定了每个细胞群体对整体细胞因子模式的相对贡献。数据分析表明,CD4 + T细胞是定义IND中调节性谱的主要细胞群体,而单核细胞和CD4 + T细胞则决定了CARD个体中的炎性细胞因子模式。有趣的是,用克氏锥虫锥鞭毛体抗原进行体外刺激能够逆转IND和CARD组中的细胞因子平衡。抗原刺激后,产生IL - 10的CD4 + T细胞和单核细胞频率的变化使IND个体趋向炎性模式,而CARD个体趋向调节性细胞因子谱。在用苄硝唑对IND和CARD个体进行体内治疗后也能发现类似的逆转。总之,这些发现为恰加斯病免疫发病机制背后复杂的细胞因子网络提供了一些线索,并提供了疾病严重程度和治疗反应的推定免疫生物标志物。