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JPIAMR-JPI Antimikrobiell resistens

New intervention strategy for tuberculosis: blocking multiple essential targets

Tildelt: kr 5,4 mill.

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Mycobacterium tuberculosisis the causative agent of tuberculosis (TB), a disease responsible for almost 1.3 million deaths per year. In recent years, different classes of drug resistant M. tuberculosis strains have emerged, making the discovery of novel anti-TB drugs a major global priority. A major disadvantage of most existing and new TB compounds is that they target a single molecule, which significantly increases the chance that resistant strains will emerge. In this project, we will address this problem by identifying compounds that target multiple type VII secretion (T7S) systems. T7S systems are used by M. tuberculosis to secrete proteins across the cell envelope to the cell surface or into the host environment. Interestingly, this bacterium has several different T7S systems, three of which are essential for viability or virulence. We predict that, by blocking multiple T7S systems with a single compound, we will considerably reduce the development of drug resistance. As proof of principle, we have already successfully used the first approach to identify two different classes of compounds that block T7S systems. Importantly, one of these compounds significantly reduced mycobacterial growth in vivo. For the second approach we will exploit the detailed knowledge of T7S systems that has been recently generated within the consortium, including structures of several crucial druggable components. To increase the activities of our secretion-blocking compounds, we will also identify compounds that act synergistically with them from libraries of antibiotics and other FDA-approved drugs. Subsequently (combinations of) compounds will be tested in vivo in a high throughput animal model for activity, toxicity and resistance development to study the concept that by inactivating multiple essential targets, the emergence of drug resistance is reduced.

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JPIAMR-JPI Antimikrobiell resistens

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