High content screening identifies decaprenyl-phosphoribose 2' epimerase as a target for intracellular antimycobacterial inhibitors.

高内涵筛选发现十异戊二烯磷酸核糖 2' 差向异构酶是细胞内抗分枝杆菌抑制剂的靶点

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作者:Christophe Thierry, Jackson Mary, Jeon Hee Kyoung, Fenistein Denis, Contreras-Dominguez Monica, Kim Jaeseung, Genovesio Auguste, Carralot Jean-Philippe, Ewann Fanny, Kim Eun Hye, Lee Sae Yeon, Kang Sunhee, Seo Min Jung, Park Eun Jung, Skovierová Henrieta, Pham Ha, Riccardi Giovanna, Nam Ji Youn, Marsollier Laurent, Kempf Marie, Joly-Guillou Marie-Laure, Oh Taegwon, Shin Won Kyung, No Zaesung, Nehrbass Ulf, Brosch Roland, Cole Stewart T, Brodin Priscille
A critical feature of Mycobacterium tuberculosis, the causative agent of human tuberculosis (TB), is its ability to survive and multiply within macrophages, making these host cells an ideal niche for persisting microbes. Killing the intracellular tubercle bacilli is a key requirement for efficient tuberculosis treatment, yet identifying potent inhibitors has been hampered by labor-intensive techniques and lack of validated targets. Here, we present the development of a phenotypic cell-based assay that uses automated confocal fluorescence microscopy for high throughput screening of chemicals that interfere with the replication of M. tuberculosis within macrophages. Screening a library of 57,000 small molecules led to the identification of 135 active compounds with potent intracellular anti-mycobacterial efficacy and no host cell toxicity. Among these, the dinitrobenzamide derivatives (DNB) showed high activity against M. tuberculosis, including extensively drug resistant (XDR) strains. More importantly, we demonstrate that incubation of M. tuberculosis with DNB inhibited the formation of both lipoarabinomannan and arabinogalactan, attributable to the inhibition of decaprenyl-phospho-arabinose synthesis catalyzed by the decaprenyl-phosphoribose 2' epimerase DprE1/DprE2. Inhibition of this new target will likely contribute to new therapeutic solutions against emerging XDR-TB. Beyond validating the high throughput/content screening approach, our results open new avenues for finding the next generation of antimicrobials.

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