Skip directly to site content Skip directly to page options Skip directly to A-Z link Skip directly to A-Z link Skip directly to A-Z link
Volume 20, Number 11—November 2014
Letter

Mycobacterium tuberculosis Beijing Genotype Resistance to Transient Rifampin Exposure

Cite This Article

To the Editor: We read with interest the discussion between de Steenwinkel et al. and Werngren (1) regarding the high mutation frequencies de Steenwinkel et al. reported for some Mycobacterium tuberculosis strains (2). We investigated the effect of rifampin exposure on the growth of these strains in detail.

Figure

Thumbnail of Eight-day-old microcolonies (≈102 cells per colony) of a panel of Mycobacterium tuberculosis Beijing strains (A, B) and East African Indian strains and strain H37Ra (C, D). Growth of the strains was monitored after 4 hours of exposure to different concentrations of rifampin. For all colonies, the growth rate relative to preexposure growth rate was calculated at 0–1 days after exposure for a median of 889.5 (interquartile range 478.75–1611.25) colonies (left panels) and 1–5 days afte

Figure. Eight-day-old microcolonies (≈102 cells per colony) of a panel of Mycobacterium tuberculosis Beijing strains (A, B) and East African Indian strains and strain H37Ra (C, D). Growth of the strains was...

We share Werngren’s surprise at the extraordinary mutation frequencies observed for the Beijing strains. We previously estimated the mutation rate of 1 of the strains tested at ≈1 × 10–7 (3), which is within the range typically reported for acquisition of rifampin resistance by strains from Beijing and other lineages of M. tuberculosis (4,5). Several explanations were proposed for the detection of a high frequency of mutants on rifampin exposure, mainly related to methods or experimental variation (1). We propose an alternative interpretation of these findings on the basis of new experimental data (Figure).

These data show that some M. tuberculosis strains persist longer than others after transient exposure to low concentrations of rifampin, which could create a wider window for the (possibly stimulated) generation and selection of resistant mutants. Thus, the frequency of 10–3 resistant CFUs selected on rifampin may represent not the frequency of preexisting mutants but rather frequency of mutants generated by a population of persisting (stressed) cells during exposure to low levels of antimicrobial drugs. We investigated the effect of transient exposure to rifampin on colony growth rate and post–antimicrobial drug outgrowth on a panel of Beijing and non-Beijing M. tuberculosis strains, including some studied in the work of Steenwinkel et al. (2). We used a culture method developed on the basis of den Hertog et al. (6) but with higher throughput and improved imaging and analysis, in which individual colonies are monitored over time and growing colonies can be moved from 1 solid medium to another.

We injected ≈5 × 104 CFUs of M. tuberculosis per cm2, consisting mostly of single cells (6), on porous aluminum oxide supports (PAOs) on MB7H11 agar + OADC (Becton Dickinson, Sparks, MD, USA). After 8 days’ incubation at 36°C, the PAOs containing microcolonies consisting of ≈200 cells were moved onto medium containing 0.5–2 μg/mL of rifampin for 4 h, after which the PAOs were returned to nonselective medium. Filters were monitored for colony growth by using a MuScan microscopic system (LumiByte BV, Nuenen, the Netherlands) at 5× magnification; a ≈0.44-cm2 area was imaged at specific intervals before and after exposure to rifampin. We used Fiji (http://fiji.sc/Fiji) and in-house software (6) to extract the surface areas of all identified colonies at all available time points; individual growth rates could thus be calculated for all colonies. In total, 36,408 colonies were defined as objects with a growth rate of >20% from days 6 and 8 after inoculation with >0.5 circularity.

As shown in the Figure, the growth of non-Beijing strains studied (East African/Indian strains and strain H37Ra) was almost completely inhibited during the first 24 hours after rifampin exposure. In contrast, all the Beijing genotype strains studied showed residual growth in most colonies in the first 24 hours after rifampin exposure. At 1–5 days postexposure, the pattern remained the same; the Beijing strain colonies were more capable of persisting and exhibited slow but sustained growth after exposure to low concentrations of rifampin. To confirm that this effect was a result of persistence rather than generation of resistant mutants, we transferred the colonies growing after transient rifampin exposure of Beijing strain 1585 to a medium containing 8 mg/L rifampin. Their growth was completely inhibited, and molecular analysis did not detect any of the most prevalent rifampin resistance–associated mutants (data not shown).

We believe that these results provide a possible explanation for the otherwise unrealistically high (apparent) mutation frequency reported by de Steenwinkel et al. (2). If these strains are capable of persisting at low concentrations of rifampin, this extended period would provide a window for the generation of mutants during or after exposure. Stress may also play a role; rpoB gene mutants have shown to exhibit a stringent-like response (7), and defective rpoB activity as a result of low-level rifampin exposure could induce a similar response. If rifampin induces a stress response, the situation may be analogous to the high mutation rates seen after quinolone exposure (8).

In summary, our data show that the high apparent M. tuberculosis strain mutation frequency reported by de Steenwinkel et al. (2) may be a result of the higher tolerance to rifampin of some Beijing strains. This tolerance likely results in a specific window of rifampin concentrations that, possibly combined with subsequent error-prone replication/outgrowth, enables the generation and selection of new mutants, rather than the selection of preexisting mutants. When interpreted in the light of our observations, the unexpected results of de Steenwinkel et al. could help explain the association of Beijing genotype strains with drug resistance and relapse (9,10). Drug levels achieved during treatment may be much more critical in preventing the accumulation of rifampin-resistant mutants for these strains than for other genotypes.

Top

Acknowledgment

This study was financially supported by NanonextNL project 03E.07.

Top

Alice L. den HertogComments to Author , Sandra Menting, Dick van Soolingen, and Richard M. Anthony

Author affiliations: KIT Biomedical Research, Royal Tropical Institute (KIT), Amsterdam, the Netherlands (A.L. den Hertog, S. Menting, R.M. Anthony); National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (D. van Soolingen); Radboud University Medical Center, Nijmegen, the Netherlands (D. van Soolingen)

Top

References

  1. Werngren  J. Mycobacterium tuberculosis Beijing type mutation frequency. Emerg Infect Dis. 2013;19:5223. DOIPubMed
  2. de Steenwinkel  JEM, ten Kate  MT, de Knegt  GJ, Kremer  K, Aarnoutse  RE, Boeree  MJ, Drug susceptibility of Mycobacterium tuberculosis Beijing genotype and association with MDR TB. Emerg Infect Dis. 2012;18:6603. DOIPubMed
  3. Bergval  I, Kwok  B, Schuitema  K, Kremer  K, van Soolingen  D, Klatser  P. Pre-existing isoniazid resistance, but not the genotype of Mycobacterium tuberculosis drives rifampin resistance codon preference in vitro. PLoS ONE. 2012;7:e29108 . DOIPubMed
  4. Werngren  J, Hoffner  SE. Drug-susceptible Mycobacterium tuberculosis Beijing genotype does not develop mutation-conferred resistance to rifampin at an elevated rate. J Clin Microbiol. 2003;41:15204. DOIPubMed
  5. Ford  CB, Shah  RR, Maeda  MK, Gagneux  S, Murray  MB, Cohen  T, Mycobacterium tuberculosis mutation rate estimates from different lineages predict substantial differences in the emergence of drug-resistant tuberculosis. Nat Genet. 2013;45:78490. DOIPubMed
  6. den Hertog  AL, Visser  DW, Ingham  CJ, Fey  FH, Klatser  PR, Anthony  RM. Simplified automated image analysis for detection and phenotyping of Mycobacterium tuberculosis on porous supports by monitoring growing microcolonies. PLoS ONE. 2010;5:e11008. DOIPubMed
  7. Koch  A, Mizrahi  V, Warner  DF. The impact of drug resistance on Mycobacterium tuberculosis physiology: what can we learn from rifampin? Emerging Microbes & Infections. 2014;3:e17.
  8. Gillespie  SH, Basu  S, Dickens  AL, O’Sullivan  DM, McHugh  TD. Effect of subinhibitory concentrations of ciprofloxacin on Mycobacterium fortuitum mutation rates. J Antimicrob Chemother. 2005;56:3448. DOIPubMed
  9. Devaux  I, Kremer  K, Heersma  H, van Soolingen  D. Clusters of multidrug-resistant Mycobacterium tuberculosis cases, Europe. Emerg Infect Dis. 2009;15:105260. DOIPubMed
  10. Huyen  MN, Buu  TN, Tiemersma  E, Lan  NT, Dung  NH, Kremer  K, Tuberculosis relapse in Vietnam is significantly associated with Mycobacterium tuberculosis Beijing genotype infections. J Infect Dis. 2013;207:151624. DOIPubMed

Top

Figure

Top

Cite This Article

DOI: 10.3201/eid2011.130560

Related Links

Top

Table of Contents – Volume 20, Number 11—November 2014

Comments

Please use the form below to submit correspondence to the authors or contact them at the following address:

Alice L. den Hertog, Royal Tropical Institute (KIT), KIT Biomedical Research, Meibergdreef 39, 1105 AZ Amsterdam, the Netherlands

Send To

character(s) remaining.

Comment submitted successfully, thank you for your feedback.

Top

Page created: October 20, 2014
Page updated: October 20, 2014
Page reviewed: October 20, 2014
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
file_external