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首页> 外文期刊>Cytokine >Modulation of immune response in Plasmodium falciparum malaria: role of IL-12, IL-18 and TGF-beta.
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Modulation of immune response in Plasmodium falciparum malaria: role of IL-12, IL-18 and TGF-beta.

机译:恶性疟原虫疟疾中免疫应答的调节:IL-12,IL-18和TGF-beta的作用。

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The interaction between pro- and anti-inflammatory cytokines such as interleukin 12 (IL-12), interleukin 18 (IL-18) and transforming growth factor beta (TGF-beta) plays an important role in malaria pathogenesis and outcome, modulating the immunoresponse in Plasmodium falciparum malaria. In our previous studies, we analyzed the plasmatic levels of IL-12, IL-18 and TGF-beta in 105 African children with different degrees of malaria and we correlated the production of these cytokines with the severity of the disease.The aim of the present study was to analyze with a mathematical model, taking into account all the relationships between these cytokines and the parameter variations involved in malaria pathogenesis that influence the results of each type of treatment or therapeutic protocol on patients at different stages of the disease. A mathematical correlation was demonstrated between the levels of pro-inflammatory and anti-inflammatory cytokines, and from this it was possible to build curves of reference in which each patient was positioned based on IL-12 level.Our data, obtained in patients with mild and severe diseases, demonstrate that the levels of IL-12 represent a reliable parameter to predict the progression of the disease, which may be complemented or modulated by administration of IL-18 and TGF-beta.Our findings provide future implications for an immune therapy against the P. falciparum malaria infection, especially in the early phase of the disease showing that a more aggressive outcome may be due to the lack of a balanced immune response.
机译:促炎和抗炎细胞因子(如白介素12(IL-12),白介素18(IL-18)和转化生长因子β(TGF-beta))之间的相互作用在疟疾的发病机理和结果中起着重要作用,调节免疫应答在恶性疟原虫疟疾中。在我们之前的研究中,我们分析了105位疟疾不同程度的非洲儿童血浆IL-12,IL-18和TGF-β的水平,并将这些细胞因子的产生与疾病的严重程度相关联。目前的研究是使用数学模型进行分析,同时考虑到这些细胞因子与疟疾发病机制中涉及的参数变异之间的所有关系,这些参数变异会影响疾病不同阶段患者的每种治疗或治疗方案的结果。促炎和抗炎细胞因子水平之间存在数学相关性,由此可以建立参考曲线,根据IL-12水平确定每位患者的位置。和严重疾病,证明IL-12的水平代表了预测疾病进展的可靠参数,可以通过施用IL-18和TGF-β来补充或调节。我们的发现为免疫治疗提供了未来的启示对抗恶性疟原虫的疟疾感染,特别是在疾病的早期阶段,显示出更具攻击性的结果可能是由于缺乏均衡的免疫反应所致。

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