ArticleBritish journal of clinical pharmacology2025
Extrapolation of lung pharmacokinetics of bedaquiline across species using physiologically-based pharmacokinetic modelling.
Article in British journal of clinical pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- An adenylyl cyclase switch reroutes carbon from growth to virulence lipids inbioRxiv : the preprint server for biology · 2026Article
- Cerebrospinal Fluid Concentrations of Bedaquiline, Pretomanid, and Linezolid During Curative Treatment of Fluoroquinolone-Resistant Pre-Extensively Drug-Resistant Tuberculous Meningitis.Open forum infectious diseases · 2026Article
- Outcomes and Treatment-limiting Adverse Events of Patients Receiving BPaL and BPaL-FQ in California.Open forum infectious diseases · 2026Article
- Article
- Enhanced In Vitro Stability of Bedaquiline with Ascorbic Acid and Pyruvate During Long-Term Incubation inAntibiotics (Basel, Switzerland) · 2026Article
- Extrapolation of lung pharmacokinetics of bedaquiline across species using physiologically-based pharmacokinetic modelling.British journal of clinical pharmacology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
aimsBedaquiline (BDQ) is a first-in-class diarylquinoline (DARQ) and a potent anti-tuberculosis drug, vital in combating multi-drug resistant tuberculosis (TB). Understanding its lung pharmacokinetics (PK) across species is crucial for effective clinical translation. This study aimed to extrapolate BDQ's lung PK from preclinical species to humans, focusing on healthy and TB-infected lung tissue.
methodsPhysiologically-based PK (PBPK) modelling was employed to simulate BDQ's lung distribution in various pulmonary micro-compartments, including cellular lesions and caseous granulomas, using data from mice, rats and dogs. Complex interactions, such as lysosomal trapping within macrophages and anomalous diffusion within the caseum, utilising a catenary model and a time-dependent rate, were incorporated into the models to accurately represent BDQ's unique PK profile.
resultsThe study revealed intricate dynamics of BDQ's lung distribution, with only free concentrations in lysosomes of macrophages surpassing the MIC of Mycobacterium tuberculosis in both mice and humans, indicating intracellular accumulation which may further explain the proven drug's efficacy. Moreover, during the course of treatment in humans, adequate drug levels were achieved near the cellular rim but penetration into the inner caseous core was predicted to be limited.
conclusionsUnderstanding BDQ's lung PK is essential for optimising dosing strategies with new companion drugs. The findings underscore the need to characterise BDQ distribution within the caseum, as it shows extensive caseum binding. Moreover, the developed PBPK model can be applied to new promising DARQ analogues, facilitating their development as effective TB treatments.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.