Document Type
Article
Publication Date
8-14-2017
Abstract
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.
Recommended Citation
Anderson, Warren D.; Greenhalgh, Andrew D.; Takwale, Aditya; David, Samuel; and Vadigepalli, Rajanikanth, "Novel Influences of IL-10 on CNS Inflammation Revealed by Integrated Analyses of Cytokine Networks and Microglial Morphology." (2017). Department of Pathology, Anatomy, and Cell Biology Faculty Papers. Paper 220.
https://jdc.jefferson.edu/pacbfp/220
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
PubMed ID
28855862
Comments
This Document is Protected by copyright and was first published by Frontiers. All rights reserved. It is reproduced with permission
The published version is available at DOI: 10.3389/fncel.2017.00233