The mutant selection window of moxifloxacin and bedaquiline resistant Mycobacterium tuberculosis

Global health is threatened by the rise of antibiotic resistance. Bacteria of the Mycobacterium tuberculosis complex (Mtbc) are a major contributor to this antibiotic crisis, with about 450,000 new multidrug-resistant tuberculosis (MDR-TB) cases per year. This study investigates resistance evolution by defining the resistance mutant selection window (MSW) for the important MDR-TB treatment drugs moxifloxacin and bedaquiline. We employed a combination of long-term in vitro experiments supplemented with mathematical modeling that combined pharmacodynamics with population genetics. We assessed resistance selection at concentrations below the minimum inhibitory concentration (MIC), the MSW and fitness cost of eight mutant clones with different resistance-associated variants. Both computational and experimental results show that mutant clone populations are selected far below the MIC, leading to a major growth advantage of resistant populations under weak selection pressure. An eighth of the MIC was enough to enrich mutant clone populations in the short term (five bacterial passages or 20 generations), even in mutant clones with a major competitive fitness loss. In fact, gyrA, gyrB and most Rv0678 mutations have virtually no effect on the bacteria's competitive fitness in vitro. This work highlights the risk that ineffective drug delivery and dosing can lead to the emergence of resistance.

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Publication Details

Journal
Journal of Infection
Published
2025-05-30
DOI
https://doi.org/10.1016/j.jinf.2025.106523
Citations
2
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
2.79
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article

The mutant selection window of moxifloxacin and bedaquiline resistant Mycobacterium tuberculosis

Roland R. Regoes, Matthias Merker, Lindsay Sonnenkalb, Stefan Niemann et al.
2 citations
Journal of Infection
Tuberculosis Research and Epidemiology
2.79
article

The mutant selection window of moxifloxacin and bedaquiline resistant Mycobacterium tuberculosis

Roland R. Regoes, Matthias Merker, Lindsay Sonnenkalb, Stefan Niemann, Barbora Trubenová
article en
2 citations

Abstract

Global health is threatened by the rise of antibiotic resistance. Bacteria of the Mycobacterium tuberculosis complex (Mtbc) are a major contributor to this antibiotic crisis, with about 450,000 new multidrug-resistant tuberculosis (MDR-TB) cases per year. This study investigates resistance evolution by defining the resistance mutant selection window (MSW) for the important MDR-TB treatment drugs moxifloxacin and bedaquiline. We employed a combination of long-term in vitro experiments supplemented with mathematical modeling that combined pharmacodynamics with population genetics. We assessed resistance selection at concentrations below the minimum inhibitory concentration (MIC), the MSW and fitness cost of eight mutant clones with different resistance-associated variants. Both computational and experimental results show that mutant clone populations are selected far below the MIC, leading to a major growth advantage of resistant populations under weak selection pressure. An eighth of the MIC was enough to enrich mutant clone populations in the short term (five bacterial passages or 20 generations), even in mutant clones with a major competitive fitness loss. In fact, gyrA, gyrB and most Rv0678 mutations have virtually no effect on the bacteria's competitive fitness in vitro. This work highlights the risk that ineffective drug delivery and dosing can lead to the emergence of resistance.

Journal of InfectionVol. 91(1)
Centre National de la Recherche Scientifique (FR), École Pratique des Hautes Études (FR), Université Paris Sciences et Lettres (FR), ETH Zurich (CH), Sorbonne Université (FR), Institut de Systématique, Évolution, Biodiversité (FR), Research Center Borstel - Leibniz Lung Center (DE), Swiss Federal Institute of Aquatic Science and Technology (CH)
Zero hunger
Openalex Percentile: Top 10%
Tuberculosis Research and Epidemiology
2.79
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