Linderman Jennifer J, Cilfone Nicholas A, Pienaar Elsje, Gong Chang, Kirschner Denise E
Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA.
Integr Biol (Camb). 2015 May;7(5):591-609. doi: 10.1039/c4ib00295d. Epub 2015 Apr 30.
Approximately one third of the world's population is infected with Mycobacterium tuberculosis. Limited information about how the immune system fights M. tuberculosis and what constitutes protection from the bacteria impact our ability to develop effective therapies for tuberculosis. We present an in vivo systems biology approach that integrates data from multiple model systems and over multiple length and time scales into a comprehensive multi-scale and multi-compartment view of the in vivo immune response to M. tuberculosis. We describe computational models that can be used to study (a) immunomodulation with the cytokines tumor necrosis factor and interleukin 10, (b) oral and inhaled antibiotics, and
世界上约三分之一的人口感染了结核分枝杆菌。关于免疫系统如何对抗结核分枝杆菌以及什么构成对该细菌的保护的信息有限,这影响了我们开发有效结核病治疗方法的能力。我们提出了一种体内系统生物学方法,该方法将来自多个模型系统以及多个长度和时间尺度的数据整合到对结核分枝杆菌体内免疫反应的全面多尺度和多隔室视图中。我们描述了可用于研究(a)用细胞因子肿瘤坏死因子和白细胞介素10进行免疫调节,(b)口服和吸入抗生素的计算模型,以及