02223nas a2200217   4500008004100000022001400041245016600055210006900221260007600290300001200366490000700378520134900385653003001734653001401764653003101778653002201809653000901831100001801840700001901858856012801877       2012                        eng d  a1087-057100aPotential use of nitrate reductase as a biomarker for the identification of active and dormant inhibitors of mycobacterium tuberculosis in a THP1 infection model0 aPotential use of nitrate reductase as a biomarker for the identi  a2455 TELLER RD, THOUSAND OAKS, CA 91320 USAbSAGE PUBLICATIONS INCcAUG  a966-9730 v173 a<p>The development of a macrophage-based, antitubercular high-throughput screening system could expedite discovery programs for identifying novel inhibitors. In this study, the kinetics of nitrate reduction (NR) by Mycobacterium tuberculosis during growth in Thp1 macrophages was found to be almost parallel to viable bacilli count. NR in the culture medium containing 50 mM of nitrate was found to be optimum on the fifth day after infection with M. tuberculosis. The signal-to-noise (S/N) ratio and Z-factor obtained from this macrophage-based assay were 5.4 and 0.965, respectively, which confirms the robustness of the assay protocol. The protocol was further validated by using standard antitubercular inhibitors such as rifampicin, isoniazid, streptomycin, ethambutol, and pyrazinamide, added at their IC90 value, on the day of infection. These inhibitors were not able to kill the bacilli when added to the culture on the fifth day after infection. Interestingly, pentachlorophenol and rifampicin killed the bacilli immediately after addition on the fifth day of infection. Altogether, this assay protocol using M. tuberculosis-infected Thp-1 macrophages provides a novel, cost-efficient, robust, and easy-to-perform screening platform for the identification of both active and hypoxic stage-specific inhibitors against tuberculosis.</p>10ahigh-throughput screening10ainhibitor10aMycobacterium tuberculosis10anitrate reductase10aTHP11 aSarkar, Sampa1 aSarkar, Dhiman  uhttps://library.ncl.res.in/content/potential-use-nitrate-reductase-biomarker-identification-active-and-dormant-inhibitors-002277nas a2200337   4500008004100000022001400041245011600055210006900171260000800240300001400248490000700262520120700269653000601476653000601482653002101488653001101509653003001520653002801550653003101578100001801609700001701627700002501644700002401669700001701693700002301710700002401733700002201757700002201779700001901801856011901820       2022                        eng d  a1381-199100aDetection of a target protein (GroEl2) in Mycobacterium tuberculosis using a derivative of 1,2,4-triazolethiols0 aDetection of a target protein GroEl2 in Mycobacterium tuberculos  cOCT  a2535-25480 v263 a<p>
	Herein, we identified a potent lead compound RRA2, within a series of 54 derivatives of 1,2,4-triazolethiols (exhibit good potency as an anti-mycobacterial agents) against intracellular Mycobacterium tuberculosis (Mtb). Compound RRA2 showed significant mycobactericidal activity against active stage Mycobacterium bovis BCG and Mtb with minimum inhibitory concentration (MIC) values of 2.3 and 2.0 mu g/mL, respectively. At MIC value, RRA2 compound yielded 0.82 log reduction of colony-forming unit (cfu) against non-replicating Mtb. Furthermore, RRA2 compound was selected for further target identification due to the presence of alkyne group, showing higher selectivity index (&gt; 66.66 +/- 0.22, in non-replicating stage). Using ``click'' chemistry, we synthesized the biotin linker-RRA2 conjugate, purified with HPLC method and confirmed the conjugation of biotin linker-RRA2 complex by HR-MS analysis. Furthermore, we successfully pulled down and identified a specific target protein GroEl2, from Mtb whole-cell extract. Furthermore, computational molecular modeling indicated RRA2 could interact with GroEl2, which explains the structure-activity relationship observed in this study.</p>
10a110a210a4-triazolethiols10aGroEl210aMycobactericidal activity10aMycobacterium bovis BCG10aMycobacterium tuberculosis1 aSarkar, Sampa1 aSwami, Sagar1 aSoni, Sarvesh, Kumar1 aHolien, Jessica, K.1 aKhan, Arshad1 aKorwar, Arvind, M.1 aLikhite, Anjali, P.1 aJoshi, Ramesh, A.1 aJoshi, Rohini, R.1 aSarkar, Dhiman  uhttps://library.ncl.res.in/content/detection-target-protein-groel2-mycobacterium-tuberculosis-using-derivative-124