A genetic strategy to identify targets for the development of drugs that prevent bacterial persistence. Academic Article uri icon

Overview

abstract

  • Antibacterial drug development suffers from a paucity of targets whose inhibition kills replicating and nonreplicating bacteria. The latter include phenotypically dormant cells, known as persisters, which are tolerant to many antibiotics and often contribute to failure in the treatment of chronic infections. This is nowhere more apparent than in tuberculosis caused by Mycobacterium tuberculosis, a pathogen that tolerates many antibiotics once it ceases to replicate. We developed a strategy to identify proteins that Mycobacterium tuberculosis requires to both grow and persist and whose inhibition has the potential to prevent drug tolerance and persister formation. This strategy is based on a tunable dual-control genetic switch that provides a regulatory range spanning three orders of magnitude, quickly depletes proteins in both replicating and nonreplicating mycobacteria, and exhibits increased robustness to phenotypic reversion. Using this switch, we demonstrated that depletion of the nicotinamide adenine dinucleotide synthetase (NadE) rapidly killed Mycobacterium tuberculosis under conditions of standard growth and nonreplicative persistence induced by oxygen and nutrient limitation as well as during the acute and chronic phases of infection in mice. These findings establish the dual-control switch as a robust tool with which to probe the essentiality of Mycobacterium tuberculosis proteins under different conditions, including those that induce antibiotic tolerance, and NadE as a target with the potential to shorten current tuberculosis chemotherapies.

publication date

  • November 4, 2013

Research

keywords

  • Amide Synthases
  • Drug Discovery
  • Drug Tolerance
  • Gene Expression Regulation, Enzymologic
  • Mycobacterium tuberculosis
  • Tuberculosis

Identity

PubMed Central ID

  • PMC3839782

Scopus Document Identifier

  • 84888113573

Digital Object Identifier (DOI)

  • 10.1073/pnas.1315860110

PubMed ID

  • 24191058

Additional Document Info

volume

  • 110

issue

  • 47