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中风前后的感染模型:探索新靶点。

Models of infection before and after stroke: investigating new targets.

作者信息

Engel Odilo, Meisel Andreas

机构信息

Department for Experimental Neurology, Charité Berlin, Germany.

出版信息

Infect Disord Drug Targets. 2010 Apr;10(2):98-104. doi: 10.2174/187152610790963546.

Abstract

Infectious diseases are the most common medical complication after cerebral ischemia, inpairing both the neurological and the general medical outcome. The most frequent infectious complications are bacterial pneumonia and urinary tract infections. There is a growing body of evidence that a secondary immunosuppressive state accounts for the increased risk of infection following stroke. Infections do not only have an important impact on outcome after stroke but also are known risk factors for stroke. Thus, suitable models for investigating the relation between infections and stroke are urgently needed. Elucidating the underlying mechanisms might facilitate the development of new therapeutic strategies and improve patient outcome. Here we present recent insights into the relationship between infections and stroke, based on experimental models of post-stroke infection. In addition we give a brief overview of models that explore the impact on stroke of preceding infections.

摘要

感染性疾病是脑缺血后最常见的医学并发症,会损害神经和总体医学预后。最常见的感染性并发症是细菌性肺炎和尿路感染。越来越多的证据表明,继发性免疫抑制状态是中风后感染风险增加的原因。感染不仅对中风后的预后有重要影响,而且是已知的中风危险因素。因此,迫切需要合适的模型来研究感染与中风之间的关系。阐明潜在机制可能有助于开发新的治疗策略并改善患者预后。在此,我们基于中风后感染的实验模型,介绍对感染与中风之间关系的最新见解。此外,我们简要概述了探索先前感染对中风影响的模型。

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