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调控利什曼病中 IL6 信号的系统线索。

Systems cues governing IL6 signaling in leishmaniasis.

机构信息

National Centre for Cell Science, NCCS Complex, Ganeshkhind, SPPU Pune University Campus, Pune 411007, India.

National Centre for Cell Science, NCCS Complex, Ganeshkhind, SPPU Pune University Campus, Pune 411007, India.

出版信息

Cytokine. 2018 Jun;106:169-175. doi: 10.1016/j.cyto.2017.11.001. Epub 2017 Nov 8.

DOI:10.1016/j.cyto.2017.11.001
PMID:29128405
Abstract

IL-6 has been proposed to favor the development of Th2 responses and play an important role in the communication between cells of multicellular organisms. They are involved in the regulation of complex cellular processes such as proliferation, differentiation and act as key player during inflammation and immune response. Th2 cytokines play an immunoregulatory role in early infection. Literature says in mice infected with L. major, IL-6 may promote the development of both Th1 and Th2 responses. IL-4 is also considered to be the signature cytokine of Th-2 response. IL-10 was initially characterized as a Th2 cytokine but later on it was proved to be a pleiotropic cytokine, secreted from different cell types including the macrophages. A major challenge is to understand how these complex non-linear processes are connected and regulated. Systems biology approaches may be used to tackle this challenge in an iterative process of quantitative mathematical analysis. In this study, we created an in silico model of IL6 mediated macrophage activation which suffers from an excessive impact of the negative feedback loop involving SOCS3. The strategy adopted in this framework may help to reduce the complexity of the leishmanial IL6 model analysis and also laydown various physiological or pathological conditions of IL6 signaling in future.

摘要

白细胞介素 6(IL-6)被认为有利于 Th2 反应的发展,并在多细胞生物的细胞间通讯中发挥重要作用。它们参与调节复杂的细胞过程,如增殖、分化,并在炎症和免疫反应中发挥关键作用。Th2 细胞因子在早期感染中发挥免疫调节作用。文献表明,在感染 L. major 的小鼠中,IL-6 可能促进 Th1 和 Th2 反应的发展。IL-4 也被认为是 Th-2 反应的特征细胞因子。IL-10 最初被描述为 Th2 细胞因子,但后来证明它是一种多效细胞因子,可由包括巨噬细胞在内的不同细胞类型分泌。一个主要的挑战是了解这些复杂的非线性过程是如何相互联系和调节的。系统生物学方法可用于在定量数学分析的迭代过程中解决这一挑战。在这项研究中,我们创建了一个基于 IL6 介导的巨噬细胞激活的计算模型,该模型受到涉及 SOCS3 的负反馈回路的过度影响。该框架中采用的策略可能有助于降低利什曼原虫 IL6 模型分析的复杂性,并为未来的 IL6 信号的各种生理或病理条件奠定基础。

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