Literature DB >> 32340993

Advanced Quantification Methods To Improve the 18b Dormancy Model for Assessing the Activity of Tuberculosis Drugs In Vitro.

E D Pieterman1, M J Sarink1, C Sala2,3, S T Cole2,4, J E M de Steenwinkel1, H I Bax5,6.   

Abstract

One of the reasons for the lengthy tuberculosis (TB) treatment is the difficulty to treat the nonmultiplying mycobacterial subpopulation. In order to assess the ability of (new) TB drugs to target this subpopulation, we need to incorporate dormancy models in our preclinical drug development pipeline. In most available dormancy models, it takes a long time to create a dormant state, and it is difficult to identify and quantify this nonmultiplying condition. The Mycobacterium tuberculosis 18b strain might overcome some of these problems, because it is dependent on streptomycin for growth and becomes nonmultiplying after 10 days of streptomycin starvation but still can be cultured on streptomycin-supplemented culture plates. We developed our 18b dormancy time-kill kinetics model to assess the difference in the activity of isoniazid, rifampin, moxifloxacin, and bedaquiline against log-phase growth compared to the nonmultiplying M. tuberculosis subpopulation by CFU counting, including a novel area under the curve (AUC)-based approach as well as time-to-positivity (TTP) measurements. We observed that isoniazid and moxifloxacin were relatively more potent against replicating bacteria, while rifampin and high-dose bedaquiline were equally effective against both subpopulations. Moreover, the TTP data suggest that including a liquid culture-based method could be of additional value, as it identifies a specific mycobacterial subpopulation that is nonculturable on solid media. In conclusion, the results of our study underline that the time-kill kinetics 18b dormancy model in its current form is a useful tool to assess TB drug potency and thus has its place in the TB drug development pipeline.
Copyright © 2020 American Society for Microbiology.

Entities:  

Keywords:  18b; Mycobacterium tuberculosis; bedaquiline; dormancy; isoniazid; moxifloxacin; rifampin; time to positivity; time-kill curves; tuberculosis

Mesh:

Substances:

Year:  2020        PMID: 32340993      PMCID: PMC7318015          DOI: 10.1128/AAC.00280-20

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  34 in total

1.  Bactericidal activity of the diarylquinoline TMC207 against Mycobacterium tuberculosis outside and within cells.

Authors:  Jasvir Dhillon; Koen Andries; Patrick P J Phillips; Denis A Mitchison
Journal:  Tuberculosis (Edinb)       Date:  2010-08-21       Impact factor: 3.131

2.  Sterilising action of pyrazinamide in models of dormant and rifampicin-tolerant Mycobacterium tuberculosis.

Authors:  Y Hu; A R Coates; D A Mitchison
Journal:  Int J Tuberc Lung Dis       Date:  2006-03       Impact factor: 2.373

3.  Formation and resuscitation of "non-culturable" cells of Rhodococcus rhodochrous and Mycobacterium tuberculosis in prolonged stationary phase.

Authors:  M O Shleeva; K Bagramyan; M V Telkov; G V Mukamolova; M Young; D B Kell; A S Kaprelyants
Journal:  Microbiology       Date:  2002-05       Impact factor: 2.777

4.  Evaluation of a nutrient starvation model of Mycobacterium tuberculosis persistence by gene and protein expression profiling.

Authors:  Joanna C Betts; Pauline T Lukey; Linda C Robb; Ruth A McAdam; Ken Duncan
Journal:  Mol Microbiol       Date:  2002-02       Impact factor: 3.501

5.  The combination of rifampin plus moxifloxacin is synergistic for suppression of resistance but antagonistic for cell kill of Mycobacterium tuberculosis as determined in a hollow-fiber infection model.

Authors:  G L Drusano; Nicole Sgambati; Adam Eichas; David L Brown; Robert Kulawy; Arnold Louie
Journal:  MBio       Date:  2010-08-10       Impact factor: 7.867

6.  The rate of bactericidal action of penicillin in vitro as a function of its concentration, and its paradoxically reduced activity at high concentrations against certain organisms.

Authors:  H EAGLE; A D MUSSELMAN
Journal:  J Exp Med       Date:  1948-07       Impact factor: 14.307

7.  The relationship between Mycobacterium tuberculosis MGIT time to positivity and cfu in sputum samples demonstrates changing bacterial phenotypes potentially reflecting the impact of chemotherapy on critical sub-populations.

Authors:  Ruth Bowness; Martin J Boeree; Rob Aarnoutse; Rodney Dawson; Andreas Diacon; Chacha Mangu; Norbert Heinrich; Nyanda E Ntinginya; Anke Kohlenberg; Bariki Mtafya; Patrick P J Phillips; Andrea Rachow; Georgette Plemper van Balen; Stephen H Gillespie
Journal:  J Antimicrob Chemother       Date:  2014-10-25       Impact factor: 5.790

8.  Genomic and transcriptomic analysis of the streptomycin-dependent Mycobacterium tuberculosis strain 18b.

Authors:  Andrej Benjak; Swapna Uplekar; Ming Zhang; Jérémie Piton; Stewart T Cole; Claudia Sala
Journal:  BMC Genomics       Date:  2016-03-05       Impact factor: 3.969

9.  A multistate tuberculosis pharmacometric model: a framework for studying anti-tubercular drug effects in vitro.

Authors:  Oskar Clewe; Linda Aulin; Yanmin Hu; Anthony R M Coates; Ulrika S H Simonsson
Journal:  J Antimicrob Chemother       Date:  2015-12-24       Impact factor: 5.790

10.  Dormant non-culturable Mycobacterium tuberculosis retains stable low-abundant mRNA.

Authors:  Dmitriy V Ignatov; Elena G Salina; Mikhail V Fursov; Timofey A Skvortsov; Tatyana L Azhikina; Arseny S Kaprelyants
Journal:  BMC Genomics       Date:  2015-11-16       Impact factor: 3.969

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  1 in total

1.  Higher Dosing of Rifamycins Does Not Increase Activity against Mycobacterium tuberculosis in the Hollow-Fiber Infection Model.

Authors:  E D Pieterman; S van den Berg; A van der Meijden; E M Svensson; H I Bax; J E M de Steenwinkel
Journal:  Antimicrob Agents Chemother       Date:  2021-03-18       Impact factor: 5.191

  1 in total

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