Warner Elizabeth A, Moldawer Lyle L
University of Florida, Department of Surgery, College of Medicine, Shands Hospital, 1600 SW Archer Road Gainesville, FL 32610-0286, USA.
Future Microbiol. 2008 Apr;3(2):177-89. doi: 10.2217/17460913.3.2.177.
Severe sepsis is a life-threatening systemic inflammatory response to microbial infection. Although mortality from severe sepsis has decreased modestly over the past three decades, its incidence is increasing dramatically. Current treatment of severe sepsis relies primarily on identification and appropriate antibiotic coverage of the invading pathogen, with supportive therapies aimed primarily at reducing the risk of associated organ injury. Current efforts to identify the invading pathogens are successful in approximately only 50% of patients with severe sepsis. In this review, we examine host-pathogen interactions through the Toll-like receptors and Nod signaling systems as principal mechanisms of the innate immune response, and explore the application of high-throughput genomic technologies that have permitted a more complete dissection of the innate immune response during severe sepsis. Early controlled studies suggest that these genome-wide tools can readily identify pathogen-specific host responses in macrophages and dendritic cells. However, despite considerable progress, clinical application of these approaches to pathogen recognition in hospitalized patients with severe sepsis is still years away.
严重脓毒症是一种危及生命的对微生物感染的全身性炎症反应。尽管在过去三十年中,严重脓毒症的死亡率略有下降,但其发病率却在急剧上升。目前严重脓毒症的治疗主要依赖于识别入侵病原体并给予适当的抗生素覆盖,支持性治疗主要旨在降低相关器官损伤的风险。目前识别入侵病原体的努力在大约只有50%的严重脓毒症患者中取得成功。在这篇综述中,我们通过Toll样受体和Nod信号系统研究宿主-病原体相互作用,将其作为天然免疫反应的主要机制,并探讨高通量基因组技术的应用,这些技术能够更全面地剖析严重脓毒症期间的天然免疫反应。早期对照研究表明,这些全基因组工具能够轻易识别巨噬细胞和树突状细胞中病原体特异性的宿主反应。然而,尽管取得了相当大的进展,但将这些方法应用于住院严重脓毒症患者的病原体识别的临床应用仍需数年时间。