Literature DB >> 20947621

Time-kill kinetics of anti-tuberculosis drugs, and emergence of resistance, in relation to metabolic activity of Mycobacterium tuberculosis.

Jurriaan E M de Steenwinkel1, Gerjo J de Knegt, Marian T ten Kate, Alex van Belkum, Henri A Verbrugh, Kristin Kremer, Dick van Soolingen, Irma A J M Bakker-Woudenberg.   

Abstract

OBJECTIVES: The pharmacodynamics of tuberculosis (TB) treatment should be further explored, to prevent emergence of resistance, treatment failure and relapse of infection. The diagnostic drug susceptibility tests guiding TB therapy investigate metabolically active Mycobacterium tuberculosis (Mtb) isolates under static conditions and as such are not informative with respect to the time-kill kinetics of anti-TB drugs and the emergence of resistance in metabolically lowly active or even dormant mycobacterial cells.
METHODS: In vitro, the killing capacity of rifampicin, isoniazid, ethambutol and amikacin regarding the degree of killing, killing rate and selection of resistant mutants was investigated in metabolically highly active versus metabolically lowly active Mtb cells.
RESULTS: Isoniazid showed rapid and high killing capacity towards highly active mycobacteria, but due to the emergence of resistance could not eliminate the Mtb. Efflux pump-mediated isoniazid resistance was predominant. Rifampicin revealed a relatively slow and time-dependent killing capacity, but achieved elimination of all mycobacteria. Ethambutol was not bactericidal. Amikacin showed a high and extremely rapid killing activity that was not time dependent and could eliminate all mycobacteria. Exposure of lowly active Mtb populations to isoniazid, rifampicin or amikacin led to the emergence of resistant mutants. Compared with the highly active mycobacteria, elimination of the susceptible lowly active mycobacteria required a 64-fold increased isoniazid concentration and a 4-fold increased rifampicin concentration, whereas amikacin was equally effective irrespective of the metabolic state of the mycobacteria.
CONCLUSIONS: The anti-TB drugs differ significantly regarding their time-kill kinetics. In addition, the metabolic state of Mtb significantly affects its susceptibility to antimicrobials, with the exception of amikacin. Optimization of dosage of anti-TB drugs is required to achieve maximum drug concentrations at the site of infection in order to maximize reduction in Mtb load and to minimize the emergence and selection of resistance.

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Year:  2010        PMID: 20947621     DOI: 10.1093/jac/dkq374

Source DB:  PubMed          Journal:  J Antimicrob Chemother        ISSN: 0305-7453            Impact factor:   5.790


  59 in total

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2.  Population modeling and simulation study of the pharmacokinetics and antituberculosis pharmacodynamics of isoniazid in lungs.

Authors:  L Lalande; L Bourguignon; S Bihari; P Maire; M Neely; R Jelliffe; S Goutelle
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Authors:  E D Pieterman; S van den Berg; A van der Meijden; E M Svensson; H I Bax; J E M de Steenwinkel
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4.  Reduced Chance of Hearing Loss Associated with Therapeutic Drug Monitoring of Aminoglycosides in the Treatment of Multidrug-Resistant Tuberculosis.

Authors:  R van Altena; J A Dijkstra; M E van der Meer; J F Borjas Howard; J G W Kosterink; D van Soolingen; T S van der Werf; J W C Alffenaar
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5.  Consequences of noncompliance for therapy efficacy and emergence of resistance in murine tuberculosis caused by the Beijing genotype of Mycobacterium tuberculosis.

Authors:  Jurriaan E M de Steenwinkel; Marian T ten Kate; Gerjo J de Knegt; Henri A Verbrugh; Rob E Aarnoutse; Martin J Boeree; Michael A den Bakker; Dick van Soolingen; Irma A J M Bakker-Woudenberg
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Authors:  Asher Brauner; Ofer Fridman; Orit Gefen; Nathalie Q Balaban
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8.  Modeling and Simulation of Pretomanid Pharmacodynamics in Pulmonary Tuberculosis Patients.

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Journal:  Antimicrob Agents Chemother       Date:  2019-09-30       Impact factor: 5.191

9.  A multi-scale approach to designing therapeutics for tuberculosis.

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10.  A computational tool integrating host immunity with antibiotic dynamics to study tuberculosis treatment.

Authors:  Elsje Pienaar; Nicholas A Cilfone; Philana Ling Lin; Véronique Dartois; Joshua T Mattila; J Russell Butler; JoAnne L Flynn; Denise E Kirschner; Jennifer J Linderman
Journal:  J Theor Biol       Date:  2014-12-09       Impact factor: 2.691

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