Comparison of the cytokine and chemokine dynamics of the early inflammatory response in models of burn injury and infection.

Comparison of the cytokine and chemokine dynamics of the early inflammatory response in models of burn injury and infection.
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DOI:
10.1016/j.cyto.2011.05.010
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发表时间:
2011-09
期刊:
影响因子:
3.8
通讯作者:
Androulakis, Ioannis P.
Androulakis, Ioannis P.
中科院分区:
医学3区
文献类型:
--
作者:
Orman, Mehmet A.;Nguyen, Tung T.;Ierapetritou, Marianthi G.;Berthiaume, Francois;Androulakis, Ioannis P.

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The inflammatory response, and its subsequent resolution, are the result of a very complex cascade of events originating at the site of injury or infection. When the response is severe and persistent, Systemic Inflammatory Response Syndrome can set in, which is associated with a severely debilitating systemic hypercatabolic state. This complex behavior, mediated by cytokines and chemokines, needs to be further explored to better understand its systems properties and potentially identify multiple targets that could be addressed simultaneously. In this context, short term responses of serum cytokines and chemokines were analyzed in two types of insults: rats receiving a “sterile” cutaneous dorsal burn on 20% of the total body surface area (TBSA); rats receiving a cecum ligation and puncture treatment (CLP) to induce infection. Considering the temporal variability observed in the baseline corresponding to the control group, the concept of area under the curve (AUC) was explored to assess the dynamic responses of cytokines and chemokines. MCP-1, GROK/KC, IL-12, IL-18 and IL-10 were observed in both burn and CLP groups. While IL-10 concentration was only increased in the burn group, Eotaxin was only elevated in CLP group. It was also observed that Leptin and IP-1 concentrations were decreased in both CLP and sham-CLP groups. The link between the circulating protein mediators and putative transcription factors regulating the cytokine/chemokine gene expression was explored by searching the promoter regions of cytokine/chemokine genes in order to characterize and differentiate the inflammatory responses based on the dynamic data. Integrating multiple sources together with the bioinformatics tools identified mediators sensitive to type and extent of injury, and provided putative regulatory mechanisms. This is essential to gain a better understanding for the important regulatory points that can be used to modulate the inflammatory state at molecular level.
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DOI: 10.1111/j.2517-6161.1995.tb02031.x
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