Cytokine network of pulmonary fibrosis with linear differential model and meta-analysis
3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009(2009)
Abstract
[Objective] To evaluate cytokine network of pulmonary fibrosis. [Methods] A systematic literature search of EMBASE, MEDLINE, Cochrane Library was conducted through December 2007. Then potential regulatory pathway of cytokines was analyzed with a cubic spline intepolation and a linear differential model. The cytokines of silicosis fibrosis tissue were identified by meta-analysis. [Results] The related cytokines participated pulmonary fibrosis were γ-IFN, IL-10, IL-13, IL-18, IL-4, IL-5, IL-6, IL-8, IGF-1, MCP-1, PDGF, TGF-β1, TNF-α, MMP-2, MMP-9, EGF by meta analysis. The key cytokines of regulated pathway nodes were γ-IFN , IL-10, IL-13, IL-18, IL-6, IGF-1, PDGF, TGF-β1, TNF-α. [ Conclusion ] The cytokines networks of pulmonary fibrosis were composed of the key cytokines, but the other cytokines weren't in the networks due to minor effectiveness induced pulmonary fibrosis or merely inflammatory effectiveness. ©2009 IEEE.
MoreTranslated text
Key words
linear differential model,meta analysis,pulmanary fibrosis,regulatory network,linear differential equations,proteins,interpolation,data mining,cubic spline,predictive models,spline,data models,mathematical model,hazards,differential equations,independent component analysis
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined