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首页> 外文期刊>Frontiers in Cellular Neuroscience >Novel Influences of IL-10 on CNS Inflammation Revealed by Integrated Analyses of Cytokine Networks and Microglial Morphology
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Novel Influences of IL-10 on CNS Inflammation Revealed by Integrated Analyses of Cytokine Networks and Microglial Morphology

机译:细胞因子网络和小胶质细胞形态学综合分析揭示了IL-10对中枢神经系统炎症的新影响。

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Coordinated interactions between cytokine signaling and morphological dynamics of microglial cells regulate neuroinflammation in CNS injury and disease. We found that pro-inflammatory cytokine gene expression in vivo showed a pronounced recovery following systemic LPS. We performed a novel multivariate analysis of microglial morphology and identified changes in specific morphological properties of microglia that matched the expression dynamics of pro-inflammatory cytokine TNFα. The adaptive recovery kinetics of TNFα expression and microglial soma size showed comparable profiles and dependence on anti-inflammatory cytokine IL-10 expression. The recovery of cytokine variations and microglial morphology responses to inflammation were negatively regulated by IL-10. Our novel morphological analysis of microglia is able to detect subtle changes and can be used widely. We implemented in silico simulations of cytokine network dynamics which showed—counter-intuitively, but in line with our experimental observations—that negative feedback from IL-10 was sufficient to impede the adaptive recovery of TNFα-mediated inflammation. Our integrative approach is a powerful tool to study changes in specific components of microglial morphology for insights into their functional states, in relation to cytokine network dynamics, during CNS injury and disease.
机译:细胞因子信号传导与小胶质细胞形态动力学之间的协同相互作用调节中枢神经系统损伤和疾病中的神经炎症。我们发现体内炎症性细胞因子基因表达在全身性LPS后显示出明显的恢复。我们进行了小胶质细胞形态的新型多变量分析,并确定了小胶质细胞的特定形态特征的变化,这些变化与促炎细胞因子TNFα的表达动态相匹配。 TNFα表达和小胶质细胞体大小的适应性恢复动力学显示可比的概况和对消炎细胞因子IL-10表达的依赖性。 IL-10负调节细胞因子变异的恢复和对炎症的小胶质细胞形态反应。我们对小胶质细胞进行的新颖形态学分析能够检测出细微的变化,并且可以广泛使用。我们进行了细胞因子网络动力学的计算机模拟,这与直觉相反,但与我们的实验结果一致,表明IL-10的负反馈足以阻止TNFα介导的炎症的适应性恢复。我们的整合方法是研究中枢神经系统损伤和疾病过程中小胶质细胞形态学特定成分变化的有力工具,以了解其功能状态与细胞因子网络动力学的关系。

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