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1.
mBio ; 8(1)2017 02 14.
Artículo en Inglés | MEDLINE | ID: mdl-28196957

RESUMEN

Active tuberculosis (TB) and latent Mycobacterium tuberculosis infection both require lengthy treatments to achieve durable cures. This problem has partly been attributable to the existence of nonreplicating M. tuberculosis "persisters" that are difficult to kill using conventional anti-TB treatments. Compounds that target the respiratory pathway have the potential to kill both replicating and persistent M. tuberculosis and shorten TB treatment, as this pathway is essential in both metabolic states. We developed a novel respiratory pathway-specific whole-cell screen to identify new respiration inhibitors. This screen identified the biphenyl amide GSK1733953A (DG70) as a likely respiration inhibitor. DG70 inhibited both clinical drug-susceptible and drug-resistant M. tuberculosis strains. Whole-genome sequencing of DG70-resistant colonies identified mutations in menG (rv0558), which is responsible for the final step in menaquinone biosynthesis and required for respiration. Overexpression of menG from wild-type and DG70-resistant isolates increased the DG70 MIC by 4× and 8× to 30×, respectively. Radiolabeling and high-resolution mass spectrometry studies confirmed that DG70 inhibited the final step in menaquinone biosynthesis. DG70 also inhibited oxygen utilization and ATP biosynthesis, which was reversed by external menaquinone supplementation. DG70 was bactericidal in actively replicating cultures and in a nutritionally deprived persistence model. DG70 was synergistic with the first-line TB drugs isoniazid, rifampin, and the respiratory inhibitor bedaquiline. The combination of DG70 and isoniazid completely sterilized cultures in the persistence model by day 10. These results suggest that MenG is a good therapeutic target and that compounds targeting MenG along with standard TB therapy have the potential to shorten TB treatment duration.IMPORTANCE This study shows that MenG, which is responsible for the last enzymatic step in menaquinone biosynthesis, may be a good drug target for improving TB treatments. We describe the first small-molecule inhibitor (DG70) of Mycobacterium tuberculosis MenG and show that DG70 has characteristics that are highly desirable for a new antitubercular agent, including bactericidality against both actively growing and nonreplicating mycobacteria and synergy with several first-line drugs that are currently used to treat TB.


Asunto(s)
Antituberculosos/farmacología , Compuestos de Bifenilo/aislamiento & purificación , Compuestos de Bifenilo/farmacología , Descubrimiento de Drogas , Metiltransferasas/antagonistas & inhibidores , Mycobacterium tuberculosis/efectos de los fármacos , Mycobacterium tuberculosis/crecimiento & desarrollo , Adenosina Trifosfato/biosíntesis , Compuestos de Bifenilo/química , Farmacorresistencia Bacteriana , Humanos , Metiltransferasas/química , Pruebas de Sensibilidad Microbiana , Mycobacterium tuberculosis/enzimología , Bibliotecas de Moléculas Pequeñas/análisis , Vitamina K 2/análogos & derivados , Vitamina K 2/metabolismo , Vitamina K 2/farmacología
2.
Chem Biol ; 20(3): 370-8, 2013 Mar 21.
Artículo en Inglés | MEDLINE | ID: mdl-23521795

RESUMEN

Identification of unique leads represents a significant challenge in drug discovery. This hurdle is magnified in neglected diseases such as tuberculosis. We have leveraged public high-throughput screening (HTS) data to experimentally validate a virtual screening approach employing Bayesian models built with bioactivity information (single-event model) as well as bioactivity and cytotoxicity information (dual-event model). We virtually screened a commercial library and experimentally confirmed actives with hit rates exceeding typical HTS results by one to two orders of magnitude. This initial dual-event Bayesian model identified compounds with antitubercular whole-cell activity and low mammalian cell cytotoxicity from a published set of antimalarials. The most potent hit exhibits the in vitro activity and in vitro/in vivo safety profile of a drug lead. These Bayesian models offer significant economies in time and cost to drug discovery.


Asunto(s)
Antituberculosos/farmacología , Antituberculosos/toxicidad , Descubrimiento de Drogas , Animales , Teorema de Bayes , Chlorocebus aethiops , Evaluación Preclínica de Medicamentos , Femenino , Concentración 50 Inhibidora , Macrófagos/efectos de los fármacos , Ratones , Mycobacterium tuberculosis/efectos de los fármacos , Células Vero
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