Shortening Tuberculosis Treatment With Fluoroquinolones: Lost in Translation?

Jean-Philippe Lanoix1, Richard E Chaisson2, Eric L Nuermberger2

  • 1Department of Medicine, Center for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, Maryland INSERM U1088, Amiens, France.

Insights

Recent tuberculosis (TB) drug trials failed, questioning preclinical models. Re-examination shows phase 3 results align with earlier studies, suggesting improved preclinical and clinical development is needed for effective TB treatment.

Area of Science:

  • Tuberculosis research
  • Drug development
  • Preclinical modeling

Background:

  • Fluoroquinolone-containing regimens failed to shorten tuberculosis treatment duration in recent phase 3 trials.
  • This outcome has cast doubt on the predictive accuracy of preclinical tuberculosis models, particularly murine models.
  • Concerns exist regarding the current paradigm for developing new tuberculosis treatment regimens.

Purpose of the Study:

  • To re-evaluate the reliability of preclinical tuberculosis models.
  • To assess the consistency of phase 3 trial results with earlier preclinical and clinical data.
  • To propose improvements for future tuberculosis regimen development programs.

Main Methods:

  • Re-examination of data from murine models of tuberculosis.
  • Analysis of data from early-stage clinical trials.
  • Comparison of phase 3 trial outcomes with preceding study results.

Main Results:

  • Phase 3 trial results for fluoroquinolone-containing regimens were consistent with data from preceding preclinical and early-stage clinical studies.
  • The failure in phase 3 trials was not an anomaly but reflected earlier trends.
  • Preclinical models, while imperfect, showed alignment with clinical outcomes.

Conclusions:

  • The current paradigm for tuberculosis regimen development requires re-evaluation.
  • Suggestions are provided for a more integrated preclinical and clinical development program.
  • Implementation of quantitative pharmacokinetic and pharmacodynamic models is recommended for better prediction of treatment efficacy.

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