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高通量筛选非复制性结核分枝杆菌的多应激模型。

A Multistress Model for High Throughput Screening Against Nonreplicating Mycobacterium tuberculosis.

机构信息

Department of Microbiology and Immunology, Weill Cornell Medicine, New York, NY, USA.

Broad Institute of MIT and Harvard, Cambridge, MA, USA.

出版信息

Methods Mol Biol. 2021;2314:611-635. doi: 10.1007/978-1-0716-1460-0_27.

Abstract

Models of nonreplication help us understand the biology of persistent Mycobacterium tuberculosis. High throughput screening (HTS) against nonreplicating M. tuberculosis may lead to identification of tool compounds that affect pathways on which bacterial survival depends in such states and to development of drugs that can overcome phenotypic resistance to conventional antimycobacterial agents, which are mostly active against replicating M. tuberculosis. We describe a multistress model of nonreplication that mimics some of the microenvironmental conditions that M. tuberculosis faces in the host as adapted for HTS. The model includes acidic pH, mild hypoxia, a flux of nitric oxide, and other reactive nitrogen intermediates arising from nitrite at low pH and low concentrations of a fatty acid (butyrate) as a carbon source.

摘要

非复制模型有助于我们了解持续存在的结核分枝杆菌的生物学特性。针对非复制结核分枝杆菌的高通量筛选(HTS)可能会发现一些工具化合物,这些化合物会影响细菌在这些状态下生存所依赖的途径,并开发出能够克服对传统抗分枝杆菌药物的表型耐药性的药物,这些药物主要对复制状态的结核分枝杆菌有效。我们描述了一种非复制的多压力模型,该模型模拟了结核分枝杆菌在宿主中面临的一些微环境条件,适合用于 HTS。该模型包括酸性 pH 值、轻度缺氧、一氧化氮通量以及其他来自低 pH 值和低浓度脂肪酸(丁酸盐)作为碳源时亚硝酸盐产生的反应性氮中间产物。

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