Evidence map›Paper›PMID 39957252›Full record

ArticleThe Journal of infectious diseases2025

Translational Modeling of BTZ-043 to Predict Phase 2A Efficacy and Evaluate Drug-Drug Interactions With Bedaquiline, Pretomanid, and Linezolid in Murine Models.

Bernard Ngara, Lorenzo Flori, Rob Christiaan van Wijk, Jacqueline P Ernest, Sandeep Tyagi, Heena Soni, Christoph Hölscher, Kerstin Walter, Julia Dreisbach, Michael Hoelscher and 2 more

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Bernard NgaraDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California, USA.ORCID 0000-0002-8355-5954
Lorenzo FloriDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California, USA.ORCID 0000-0001-7899-0954
Rob Christiaan van WijkDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California, USA.ORCID 0000-0001-7247-1360
Jacqueline P ErnestDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California, USA.ORCID 0000-0002-7664-7287
Sandeep TyagiCenter for Tuberculosis Research, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-6066-5392
Heena SoniCenter for Tuberculosis Research, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0009-0003-9727-9334
Christoph HölscherDivision of Infection Immunology, Research Center Borstel-Leibniz Lung Center, Borstel, Germany.
Kerstin WalterDivision of Infection Immunology, Research Center Borstel-Leibniz Lung Center, Borstel, Germany.ORCID 0009-0000-7883-4433
Julia DreisbachInstitute of Infectious Diseases and Tropical Medicine, Ludwig Maximilian University Hospital, Ludwig Maximilian University Munich, Munich, Germany.ORCID 0000-0001-6625-9857
Michael HoelscherInstitute of Infectious Diseases and Tropical Medicine, Ludwig Maximilian University Hospital, Ludwig Maximilian University Munich, Munich, Germany.ORCID 0000-0002-6937-8330
Eric L NuermbergerCenter for Tuberculosis Research, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0003-1440-9889
Radojka M SavicDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California, USA.ORCID 0000-0003-3143-5579

Funding

Preclinical Design and Clinical Translation of TB Regimens (PReDicTR) ConsortiumUM1AI179699 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Kelly E. Dooley, ERIC L NUERMBERGER · 2024 to 2026
$22.2M
and the ArtsBavarian Ministry for ScienceGerman Center for Infection Research 03ZZ0803AGerman Center for Infection Research 03ZZ0826AGerman Center for Infection Research 03ZZ0835AGerman Center for Infection Research TRIA2015-1102German Ministry for Education and Research 01KA1701Nederlandse Organisatie voor Wetenschappelijk OnderzoekNIAID NIH HHS UM1 AI179699NIH HHSSwiss State Secretariat for Education, Research, and InnovationTB Alliance
6 · The paper itself

Abstract

backgroundBTZ-043 is a promising novel drug candidate for antituberculosis treatment. This study aimed to apply a previously developed mouse-to-human translational modeling platform for antituberculosis drugs to predict phase 2A outcomes for BTZ-043 in humans and evaluate the impact of observed drug-drug interactions on the contribution of BTZ-043 to combotherapy in a mouse model.

methodsThe study utilized data from mouse experiments for BTZ-043 monotherapy and combotherapy with bedaquiline, pretomanid, and linezolid, and clinical information for BTZ-043 monotherapy. The translational models were applied to predict the colony-forming units as a measure of efficacy in humans treated with BTZ-043 monotherapy and evaluate the effect of BTZ-043 on the pharmacokinetics-pharmacodynamics of combotherapy bedaquiline, pretomanid, and linezolid.

resultsThe mouse-pharmacokinetic and mouse-pharmacodynamic data for BTZ-043 monotherapy were best described by 2-compartmental and direct Emax models, respectively. The model-based prediction of efficacy in humans was comparable to the observed phase 2A efficacy. Single-compartmental models, developed separately, best described the mouse-pharmacokinetic data for bedaquiline, pretomanid, and linezolid in combotherapy. Coadministration with BTZ-043 was associated with at least a 2-fold reduction in bedaquiline, pretomanid, and linezolid exposures in mice, and model-based simulations suggested that the observed decreases in exposure to these drugs would have resulted in even lower efficacy than what was observed when bedaquiline, pretomanid, and linezolid are coadministered with BTZ-043.

conclusionsThe translational modeling platform adequately predicted the efficacy of BTZ-043 monotherapy. In the absence of drug-drug interactions, coadministration of BTZ-043 with bedaquiline, pretomanid, and linezolid in combotherapy is predicted to improve treatment efficacy. Clinical Trials Registration. NCT0404400.

Indexed as

Antitubercular AgentsDiarylquinolinesLinezolidNitroimidazolesTuberculosisAnimalsDisease Models, AnimalDrug InteractionsDrug Therapy, CombinationFemaleHumansMiceTranslational Research, BiomedicalAntitubercular AgentsbedaquilineDiarylquinolinesLinezolidNitroimidazolespretomaniddrug interactionsearly bacterial activityphase 2A predictiontranslational PKPDtuberculosis

Identifiers

PMID39957252
PMCPMC12128049

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.