Abstract

Modulation of growth rate in Mycobacterium tuberculosis is key to its survival in the host; particularly with regard to its adaptation during chronic infection when the growth rate is very slow. The resulting physiological changes will influence the way this pathogen interacts with the host and responds to antibiotics. Therefore, it is important that we understand how growth rate impacts antibiotic efficacy, particularly with respect to recovery/relapse. This is the first study that has asked how growth rates influence the mycobacterial responses to combinations of frontline antimycobacterials, isoniazid (INH), rifampicin (RIF), and pyrazinamide (PZA), using continuous cultures. Time-course profiles of log-transformed total viable counts for cultures, controlled at either a fast growth rate (23.1. mean generation time (MGT)) or slow growth rate (69.3h MGT), were analysed with the fitting of a mathematical model by nonlinear regression that accounted for the dilution rate in the chemostat, and profiled kill rates and recovery in culture. Using this approach, we show that populations growing more slowly were generally less susceptible to all treatments. We observed a higher kill rate associated with INH (compared to RIF or PZA) and the appearance of re-growth. In line with this observation, re-growth was not observed with RIF-exposure, which provided a slower bactericidal response. The sequential additions of RIF and PZA did not eliminate re-growth. We consider here that faster, early bactericidal activity is not what is required for successful sterilisation of M. tuberculosis, but instead slower elimination of bacilli followed by reduced recovery of the bacterial population.

Highlights

  • Improvement in tuberculosis (TB) treatment with the aim of shortening the period of antibiotic therapy without increasing relapse rates or encouraging the development of antibiotic-resistant strains is urgently needed [1]

  • We investigated the contribution of growth rate to early bactericidal kill and the regrowth/recovery of the bacterial population when exposed to isoniazid (INH), pyrazinamide (PZA), and rifampin (RIF), delivered singly or in combination

  • The antibiotics INH, RIF, and PZA were added during culture steady state at the MICs to replicate cultures for each single antibiotic or antibiotic combination at each growth rate, except for the triple combination, for which a single culture was performed at each growth rate

Read more

Summary

Introduction

Improvement in tuberculosis (TB) treatment with the aim of shortening the period of antibiotic therapy without increasing relapse rates or encouraging the development of antibiotic-resistant strains is urgently needed [1]. Understanding how the growth rate impacts the activity of frontline antibiotics so that they can be delivered using an alternative approach or in a different timely fashion can contribute to the development of regimens that contain a combination of both conventional and new antibiotics [2,3,4,5]. The slow-growing proportion of the M. tuberculosis population is thought to be refractory to the bactericidal action of antituberculosis antibiotics due to phenotypic tolerance and persistence through treatment [10]. The only models that can be used to determine the effects of the growth rate on drug responses are controlled and defined continuous cultures in chemostats [14,15,16,17]. To enable us to perform these analyses, we have derived a mathematically discriminative approach for the analyses of drug responses in chemostat culture which accounts for dilution effects and provides predictive and quantitative insights from the bacterial responses

Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call