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1.
Tuberculosis (Edinb) ; 147: 102515, 2024 Jul.
Article in English | MEDLINE | ID: mdl-38744006

ABSTRACT

A rapid and comprehensive drug susceptibility test is essential for eliminating drug resistant tuberculosis. Next generation sequencing (NGS) based susceptibility testing is being explored as a potential substitute for the conventional phenotypic and genotypic testing methods. However, the adoption of NGS based genotypic susceptibility testing depends on the availability of simple, accurate and efficient analysis tools. This preliminary study aimed to evaluate the performance of a Mycobacterium tuberculosis (Mtb) genome analysis pipeline, AAICare®-TB, for susceptibility prediction, in comparison to two widely used gDST prediction tools, TB-Profiler and Mykrobe. This study was performed in a National Reference Laboratory in India on presumptive drug-resistant tuberculosis (DR-TB) isolates. Whole genome sequences of the 120 cultured isolates were obtained through Illumina sequencing on a MiSeq platform. Raw sequences were simultaneously analysed using the three tools. Susceptibility prediction reports thus generated, were compared to estimate the total concordance and discordance. WHO mutation catalogue (1st edition, 2021) was used as the reference standard for categorizing the mutations. In this study, AAICare®-TB was able to predict drug resistance status for First Line (Streptomycin, Isoniazid, Rifampicin, Ethambutol and Pyrazinamide) and Second Line drugs (Fluoroquinolones, Second Line Injectables and Ethionamide) in 93 samples along with lineage and hetero-resistance as per the WHO guidelines.


Subject(s)
Antitubercular Agents , Microbial Sensitivity Tests , Mycobacterium tuberculosis , Tuberculosis, Multidrug-Resistant , Mycobacterium tuberculosis/genetics , Mycobacterium tuberculosis/drug effects , Mycobacterium tuberculosis/isolation & purification , Tuberculosis, Multidrug-Resistant/diagnosis , Tuberculosis, Multidrug-Resistant/microbiology , Tuberculosis, Multidrug-Resistant/drug therapy , Humans , Antitubercular Agents/pharmacology , Antitubercular Agents/therapeutic use , Drug Resistance, Multiple, Bacterial/genetics , Mutation , High-Throughput Nucleotide Sequencing , Predictive Value of Tests , Reproducibility of Results , Whole Genome Sequencing/methods , Genotype , India , Phenotype
2.
J Biomol Struct Dyn ; : 1-13, 2023 Sep 20.
Article in English | MEDLINE | ID: mdl-37728541

ABSTRACT

Clinical resistance against bedaquiline (BDQ) remains intractable to anti-tuberculosis therapies since its introduction to the market over a decade ago. Herein, we investigated the structural and mechanical aspects of BDQ resistance in AtpE, MmpR5, and PepQ. The known target-specific resistant single non-synonymous mutations were refined to high-grade candidates. Thus, 7 (AtpE), 5 (MmpR5), and 1 (PepQ) single nucleotide polymorphisms (SNPs) and one insertion frameshift mutation in MmpR5 were recreated at the molecular level, and these phenotypic models were then directed to stringent dynamics to define time-scaled changes. The AtpE variants destabilized the structure; mainly, L59V, E61D, and I66M were detrimental to the complex fitness, while L74V and L114P boosted the BDQ binding to MmpR5. The first three and last two alterations gave rise to loss- and gain-of-function to AtpE and MmpR5, respectively. Hence, these five mutants are functionally relevant and therapeutically targetable hotspots of BDQ resistance. There were no noticeable changes in PepQ data analysis. The present study revealed that MmpR5 mutations confer BDQ resistance, whereas AtpE and PepQ SNPs display low susceptibility. These results were tallied with the published findings, which testified to the pursued method's reliability and accuracy. We hope these data and inferences could be helpful for the futuristic design of novel TB drugs.Communicated by Ramaswamy H. Sarma.

3.
ACS Infect Dis ; 6(4): 588-602, 2020 04 10.
Article in English | MEDLINE | ID: mdl-31899865

ABSTRACT

The targeted pathogen-selective approach to drug development holds promise to minimize collateral damage to the beneficial microbiome. The AB5-topology pertussis toxin (PtxS1-S5) is a major virulence factor of Bordetella pertussis, the causative agent of the highly contagious respiratory disease whooping cough. Once internalized into the host cell, PtxS1 ADP-ribosylates α-subunits of the heterotrimeric Gαi-superfamily, thereby disrupting G-protein-coupled receptor signaling. Here, we report the discovery of the first small molecules inhibiting the ADP-ribosyltransferase activity of pertussis toxin. We developed protocols to purify milligram-levels of active recombinant B. pertussis PtxS1 from Escherichia coli and an in vitro high throughput-compatible assay to quantify NAD+ consumption during PtxS1-catalyzed ADP-ribosylation of Gαi. Two inhibitory compounds (NSC228155 and NSC29193) with low micromolar IC50-values (3.0 µM and 6.8 µM) were identified in the in vitro NAD+ consumption assay that also were potent in an independent in vitro assay monitoring conjugation of ADP-ribose to Gαi. Docking and molecular dynamics simulations identified plausible binding poses of NSC228155 and in particular of NSC29193, most likely owing to the rigidity of the latter ligand, at the NAD+-binding pocket of PtxS1. NSC228155 inhibited the pertussis AB5 holotoxin-catalyzed ADP-ribosylation of Gαi in living human cells with a low micromolar IC50-value (2.4 µM). NSC228155 and NSC29193 might prove to be useful hit compounds in targeted B. pertussis-selective drug development.


Subject(s)
ADP Ribose Transferases/antagonists & inhibitors , ADP Ribose Transferases/metabolism , Drug Discovery , Pertussis Toxin/antagonists & inhibitors , Pertussis Toxin/metabolism , Bordetella pertussis/drug effects , Bordetella pertussis/pathogenicity , Escherichia coli/genetics , Escherichia coli/metabolism , HEK293 Cells , Humans , Inhibitory Concentration 50 , Molecular Docking Simulation , Molecular Dynamics Simulation , NAD/metabolism
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