Predicting drug–drug interactions between ainuovirine and rifampicin plus isoniazid using PBPK modelling

IF 3.1 3区 医学 Q2 PHARMACOLOGY & PHARMACY British journal of clinical pharmacology Pub Date : 2024-10-10 DOI:10.1111/bcp.16302
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Abstract

23

Predicting drug–drug interactions between ainuovirine and rifampicin plus isoniazid using PBPK modelling

Lu Hongzhou1, Meng Xianmin1 and Qin Hong2

1The Third People's Hospital of Shenzhen, The Second Affiliated Hospital of Southern University of Science and Technology; 2Jiangsu Aidea Pharmaceutical Co., Ltd

Objectives: Ainuovirine (ANV) is a newly developed next-generation non-nucleoside reverse transcriptase inhibitor (NNRTI) metabolized by CYP2C19. The primary objective of this study was to simulate and predict drug–drug interaction (DDI) between ainuovirine and rifampicin (RIF) combined with isoniazid (INH) using physiologically based pharmacokinetic (PBPK) modelling. Additionally, we aimed to recommend suitable dose adjustments for ANV for the treatment of people living with HIV (PLWH) coinfected with tuberculosis.

Methods: A comprehensive whole-body PBPK model for DDI was developed using PK-SIM® (version 11.2, Open Systems Pharmacology, USA). This model was validated against phase 1 DDI study of ANV with RIF and reported clinical data for all drugs administered alone and ANV-RIF/ANV-INH dual- and triple-drug concomitantly. The model contained the potent induction and concentration-dependent inhibition mechanisms of RIF and INH on CYP2C19. The model was considered verified if the predicted pharmacokinetic values vs. observed were within 0.5–2-fold. Alternative dosing regimens for ANV were simulated to ensure that the Ctrough exceeded the clinical reference interval's lower limit of 153.04 ± 59.22 ng/mL, while the Cmax remained below the upper limit of 526.45 ± 143.52 ng/mL.

Results: The PBPK model was successfully verified according to the criteria. Simulation of different dose adjustments predicted that a change in regimen to 225 mg ANV (75 + 150 mg, while 75 mg co-administered with RIF plus INH, 150 mg after 12 h) may alleviate the inhibition effect of INH on ANV Cmax and induction effect of RIF on ANV Ctrough at steady state, which were within the clinical reference intervals.

Conclusions: The developed PBPK model characterized the opposite effect-mediated DDI between RIF and INH on ANV, accurately predicting a narrowed therapeutic window when 150 mg daily of ANV co-administered with RIF plus INH. A change in the ANV dosing regimen from 150 to 225 mg was predicted to mitigate the effect of the DDI on the Cmax and Ctrough of ANV, maintaining plasma concentration levels above the therapeutic threshold while not too high.

Keywords: ainuovirine, drug–drug interactions, isoniazid, pharmacokinetics, rifampicin

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艾滋病、肝炎和其他抗病毒药物临床药理学国际研讨会摘要。
23利用PBPK建模预测阿奴韦林与利福平加异烟肼的药物相互作用陆洪洲1,孟宪民1,秦红21南方科技大学第二附属医院,深圳市第三人民医院;2江苏爱迪药业股份有限公司目的:阿奴韦林(ANV)是一种新开发的新一代非核苷类逆转录酶抑制剂(NNRTI),通过CYP2C19代谢:Ainuovirine(ANV)是一种新开发的新一代非核苷类逆转录酶抑制剂(NNRTI),通过CYP2C19代谢。本研究的主要目的是利用基于生理学的药代动力学(PBPK)模型模拟和预测阿奴韦林和利福平(RIF)联合异烟肼(INH)之间的药物相互作用(DDI)。此外,我们还旨在为治疗合并肺结核的艾滋病病毒感染者(PLWH)推荐合适的阿努韦林剂量调整方案:方法:使用 PK-SIM®(11.2 版,Open Systems Pharmacology,美国)开发了一个全面的 DDI 全身 PBPK 模型。该模型根据 ANV 与 RIF 的 1 期 DDI 研究以及所有药物单独给药和 ANV-RIF/ANV-INH 双药和三药同时给药的临床数据进行了验证。该模型包含 RIF 和 INH 对 CYP2C19 的强效诱导和浓度依赖性抑制机制。如果预测的药代动力学值与观察值相差在 0.5-2 倍以内,则认为该模型得到了验证。模拟了 ANV 的替代给药方案,以确保 Ctrough 超过临床参考区间的下限(153.04 ± 59.22 ng/mL),而 Cmax 保持在上限(526.45 ± 143.52 ng/mL)以下:结果:根据标准成功验证了 PBPK 模型。对不同剂量调整的模拟预测表明,将治疗方案改为225 mg ANV(75 + 150 mg,同时75 mg与RIF和INH联合给药,150 mg在12 h后给药)可减轻INH对ANV Cmax的抑制作用和RIF对ANV Ctrough的诱导作用,稳态时的Cmax和Ctrough均在临床参考区间内:所建立的PBPK模型描述了RIF和INH对ANV的相反效应介导的DDI,准确预测了RIF和INH每天合用150毫克ANV时治疗窗的缩小。据预测,将ANV的给药方案从150毫克改为225毫克,可减轻DDI对ANV的Cmax和Ctrough的影响,使血浆浓度水平维持在治疗阈值以上,同时又不会过高。 关键词:艾诺韦林;药物相互作用;异烟肼;药代动力学;利福平
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8.80%
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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.
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