Evangelos Karakitsios, Oscar Della Pasqua, Aristides Dokoumetzidis
{"title":"利用基于生理的药代动力学模型推断贝达喹啉跨物种的肺药代动力学。","authors":"Evangelos Karakitsios, Oscar Della Pasqua, Aristides Dokoumetzidis","doi":"10.1002/bcp.70163","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>BeBedaquiline (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.</p><p><strong>Methods: </strong>Physiologically-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.</p><p><strong>Results: </strong>The 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.</p><p><strong>Conclusions: </strong>Understanding 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.</p>","PeriodicalId":9251,"journal":{"name":"British journal of clinical pharmacology","volume":" ","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Extrapolation of lung pharmacokinetics of bedaquiline across species using physiologically-based pharmacokinetic modelling.\",\"authors\":\"Evangelos Karakitsios, Oscar Della Pasqua, Aristides Dokoumetzidis\",\"doi\":\"10.1002/bcp.70163\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Aims: </strong>BeBedaquiline (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.</p><p><strong>Methods: </strong>Physiologically-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.</p><p><strong>Results: </strong>The 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.</p><p><strong>Conclusions: </strong>Understanding 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.</p>\",\"PeriodicalId\":9251,\"journal\":{\"name\":\"British journal of clinical pharmacology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"British journal of clinical pharmacology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/bcp.70163\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"British journal of clinical pharmacology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/bcp.70163","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
Extrapolation of lung pharmacokinetics of bedaquiline across species using physiologically-based pharmacokinetic modelling.
Aims: BeBedaquiline (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.
Methods: Physiologically-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.
Results: The 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.
Conclusions: Understanding 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.
期刊介绍:
Published on behalf of the British Pharmacological Society, the British Journal of Clinical Pharmacology features papers and reports on all aspects of drug action in humans: review articles, mini review articles, original papers, commentaries, editorials and letters. The Journal enjoys a wide readership, bridging the gap between the medical profession, clinical research and the pharmaceutical industry. It also publishes research on new methods, new drugs and new approaches to treatment. The Journal is recognised as one of the leading publications in its field. It is online only, publishes open access research through its OnlineOpen programme and is published monthly.