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针对细胞内结核分枝杆菌的抑制剂的疗效和细胞毒性筛选系统

System for Efficacy and Cytotoxicity Screening of Inhibitors Targeting Intracellular Mycobacterium tuberculosis.

作者信息

Zheng Xingji, Av-Gay Yossef

机构信息

Department of Medicine, University of British Columbia;

Department of Medicine, University of British Columbia.

出版信息

J Vis Exp. 2017 Apr 5(122):55273. doi: 10.3791/55273.

Abstract

Mycobacterium tuberculosis, the causative agent of tuberculosis (TB), is a leading cause of morbidity and mortality worldwide. With the increased spread of multi drug-resistant TB (MDR-TB), there is a real urgency to develop new therapeutic strategies against M. tuberculosis infections. Traditionally, compounds are evaluated based on their antibacterial activity under in vitro growth conditions in broth; however, results are often misleading for intracellular pathogens like M. tuberculosis since in-broth phenotypic screening conditions are significantly different from the actual disease conditions within the human body. Screening for inhibitors that work inside macrophages has been traditionally difficult due to the complexity, variability in infection, and slow replication rate of M. tuberculosis. In this study, we report a new approach to rapidly assess the effectiveness of compounds on the viability of M. tuberculosis in a macrophage infection model. Using a combination of a cytotoxicity assay and an in-broth M. tuberculosis viability assay, we were able to create a screening system that generates a comprehensive analysis of compounds of interest. This system is capable of producing quantitative data at a low cost that is within reach of most labs and yet is highly scalable to fit large industrial settings.

摘要

结核分枝杆菌是结核病(TB)的病原体,是全球发病和死亡的主要原因。随着耐多药结核病(MDR-TB)传播的增加,开发针对结核分枝杆菌感染的新治疗策略迫在眉睫。传统上,化合物是根据其在肉汤体外生长条件下的抗菌活性进行评估的;然而,对于像结核分枝杆菌这样的细胞内病原体,结果往往具有误导性,因为肉汤中的表型筛选条件与人体内的实际疾病状况有很大不同。由于结核分枝杆菌的复杂性、感染的变异性和缓慢的复制速度,传统上很难筛选出在巨噬细胞内起作用的抑制剂。在本研究中,我们报告了一种新方法,可在巨噬细胞感染模型中快速评估化合物对结核分枝杆菌生存能力的有效性。通过结合细胞毒性测定和肉汤中结核分枝杆菌生存能力测定,我们能够创建一个筛选系统,对感兴趣的化合物进行全面分析。该系统能够以低成本产生定量数据,大多数实验室都能做到,而且具有高度可扩展性,以适应大型工业环境。

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