Lesion penetration predicts tuberculosis treatment shortening through a validated translational tool to de-risk development

Abstract Anti-tuberculosis (TB) drugs must reach the disease site to be effective, but complex TB pathology limits drug distribution and efficacy, as bacteria in the necrotic center of lung cavities are difficult to access and kill. Our study generates the most comprehensive database of site-of-disease distribution for 24 drugs and drug candidates in a rabbit model of cavitary TB. We validate a lung lesion penetration model with clinical data and develop an integrated approach that combines microenvironment-specific pharmacokinetics and pharmacodynamics. Next, we simulate site-of-disease coverage of shortened regimens tested in major Phase 3 trials over the past decade, allowing direct comparisons with trial outcomes. We propose that regimens including at least two drugs achieving bactericidal concentrations in pulmonary cavities are more likely to meet primary clinical endpoints in patients with cavitary disease. Our translational platform constitutes a validated tool to support drug evaluation, smart regimen design, and de-risking of late-stage trials.

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Publication Details

Journal
Nature Communications
Published
2026-10-14
DOI
https://doi.org/10.1038/s41467-026-78502-z
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Lesion penetration predicts tuberculosis treatment shortening through a validated translational tool to de-risk development

Radojka M. Savić, Hoang-Anh Vu, Laura E. Via, Veronique Anne Dartois et al.
Nature Communications
Tuberculosis Research and Epidemiology
article

Lesion penetration predicts tuberculosis treatment shortening through a validated translational tool to de-risk development

Radojka M. Savić, Hoang-Anh Vu, Laura E. Via, Veronique Anne Dartois, Annamarie E. Bustion, Anu S. Patel, Firat Kaya, Jacqueline P. Ernest, Matthew Zimmerman, Jansy Passiflora Sarathy, Natasha Strydom, Lorenzo Flori, Suyapa Rodriguez, Veronika Westergren, Connie Silva
article en

Abstract

Abstract Anti-tuberculosis (TB) drugs must reach the disease site to be effective, but complex TB pathology limits drug distribution and efficacy, as bacteria in the necrotic center of lung cavities are difficult to access and kill. Our study generates the most comprehensive database of site-of-disease distribution for 24 drugs and drug candidates in a rabbit model of cavitary TB. We validate a lung lesion penetration model with clinical data and develop an integrated approach that combines microenvironment-specific pharmacokinetics and pharmacodynamics. Next, we simulate site-of-disease coverage of shortened regimens tested in major Phase 3 trials over the past decade, allowing direct comparisons with trial outcomes. We propose that regimens including at least two drugs achieving bactericidal concentrations in pulmonary cavities are more likely to meet primary clinical endpoints in patients with cavitary disease. Our translational platform constitutes a validated tool to support drug evaluation, smart regimen design, and de-risking of late-stage trials.

Nature Communications
National Institutes of Health (US), University of California, San Francisco (US), National Institute of Allergy and Infectious Diseases (US), Hackensack Meridian Health (US), Hackensack Meridian School of Medicine (US)
Bill and Melinda Gates Foundation, GlaxoSmithKline, National Institute of Allergy and Infectious Diseases
Good health and well-being
Openalex Percentile: Top 12%
Tuberculosis Research and Epidemiology
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