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采用系统方法理解结核病中的免疫反应:小鼠模型与人类疾病之间的迭代过程

Systems approach to understand the immune response in tuberculosis: an iterative process between mouse models and human disease.

作者信息

O'Garra Anne

机构信息

Division of Immunoregulation, The MRC National Institute for Medical Research, Mill Hill, London NW7 1AA, United Kingdom; NHLI, Faculty of Medicine, Imperial College, London SW7 2AZ, United Kingdom

出版信息

Cold Spring Harb Symp Quant Biol. 2013;78:173-7. doi: 10.1101/sqb.2013.78.020172. Epub 2013 Oct 7.

DOI:10.1101/sqb.2013.78.020172
PMID:24100583
Abstract

Tuberculosis remains a disease of considerable mortality and morbidity. The immune response determining whether individuals infected with the pathogen Mycobacterium tuberculosis control the infection, and remain latent, or go on to develop active tuberculosis disease is poorly understood. Our studies used microarray technology to derive blood transcriptional profiles of the host response during tuberculosis, which, combined with data from experimental systems, highlighted a potentially detrimental role for Type I interferons during infection, with important implications for vaccine and therapeutic development. Our studies have also provided candidate biomarkers, which may advance diagnosis and treatment monitoring. These studies thus exemplify the promise of a systems biology approach to understand the immune response to complex infectious disease such as tuberculosis, leading to improved experimental models and systems for improving our mechanistic understanding of why some individuals control the infection whereas others go on to develop active disease.

摘要

结核病仍然是一种具有相当高死亡率和发病率的疾病。对于个体感染结核分枝杆菌病原体后,其免疫反应是控制感染并保持潜伏状态,还是会发展为活动性结核病,目前人们对此了解甚少。我们的研究使用微阵列技术来推导结核病期间宿主反应的血液转录谱,结合实验系统的数据,突出了I型干扰素在感染期间的潜在有害作用,这对疫苗和治疗方法的开发具有重要意义。我们的研究还提供了候选生物标志物,这可能会推动诊断和治疗监测的发展。因此,这些研究例证了系统生物学方法在理解对诸如结核病等复杂传染病的免疫反应方面的前景,从而带来改进的实验模型和系统,以增进我们对为何一些个体能够控制感染而另一些个体却会发展为活动性疾病的机制理解。

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