Preclinical tools for the evaluation of tuberculosis treatment regimens for children

E W Tucker1, K E Dooley2

  • 1Department of Anesthesiology and Critical Care Medicine, Division of Pediatric Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, Division of Pediatric Critical Care, Johns Hopkins All Children's Hospital, St Petersburg, Florida.

Insights

Pediatric tuberculosis (TB) requires tailored treatment strategies. Developing preclinical models for diverse pediatric TB forms can help optimize drug regimens and accelerate the development of treatments for difficult-to-treat TB in children.

Area of Science:

  • Microbiology
  • Pharmacology
  • Pediatrics

Background:

  • Current tuberculosis (TB) treatment protocols are often adapted from adult regimens for pediatric use.
  • Pediatric TB presents unique challenges due to disease heterogeneity across different age groups, necessitating distinct therapeutic approaches.

Purpose of the Study:

  • To evaluate the utility of various preclinical models in assessing TB treatment regimens for pediatric populations.
  • To explore how these models can aid in optimizing drug selection and development for pediatric TB.

Main Methods:

  • Development and application of diverse preclinical models, including in vitro pharmacodynamic systems and animal models (rabbits, mice), to simulate different forms of pediatric TB (disseminated, TBM, paucibacillary, cavitary).
  • Assessment of drug distribution to disease sites within these models.
  • Integration with translational modeling approaches.

Main Results:

  • No single preclinical model fully represents the spectrum of pediatric TB.
  • Specific models show promise for simulating disseminated disease, tuberculous meningitis (TBM), paucibacillary, and cavitary TB.
  • Models facilitate the study of drug distribution relevant to pediatric disease sites.

Conclusions:

  • Preclinical models, despite limitations, are valuable tools for studying drug distribution and optimizing TB treatment regimens for children.
  • These models can accelerate the development of therapies for challenging pediatric TB cases, including drug-resistant TB and TBM.

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