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甘氨酸转运体1(GlyT1)抑制剂依克哌汀(BI 425809)的药物相互作用潜力评估:基于生理的药代动力学(PBPK)建模方法

Evaluation of the Drug-Drug Interaction Potential of the GlyT1 Inhibitor Iclepertin (BI 425809): A Physiologically Based Pharmacokinetic (PBPK) Modeling Approach.

作者信息

Matsson Elin M, Desch Michael, Nock Valerie, Hanke Nina

机构信息

Pharmetheus, Uppsala, Sweden.

Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Baden-Württemberg, Germany.

出版信息

CPT Pharmacometrics Syst Pharmacol. 2025 Aug;14(8):1391-1402. doi: 10.1002/psp4.70060. Epub 2025 Jun 25.

Abstract

Despite predicting poor functional outcomes and being a significant patient burden, there are no approved pharmacotherapies to treat symptoms of cognitive impairment associated with schizophrenia (CIAS). Iclepertin (BI 425809) is a potent and selective inhibitor of glycine transporter-1 (GlyT1) that was in Phase III development for the treatment of CIAS. Iclepertin is metabolized by the cytochrome P450 (CYP) 3A4 enzyme and also induces CYP3A4 at supratherapeutic concentrations, so drug-drug interactions (DDIs) with CYP3A4 perpetrators and substrates may be expected. A physiologically based pharmacokinetic (PBPK) model was built and qualified based on physiochemical, in vitro, and Phase I clinical data of iclepertin that included different administration routes, formulations, dose levels, single- and multiple-dose administrations and food statuses. The iclepertin PBPK model was further qualified using clinical data of DDIs with a strong CYP3A4 inducer (rifampicin) and a strong CYP3A4 inhibitor (itraconazole). The qualified model was then applied to simulate DDIs of iclepertin 10 mg daily (the intended therapeutic dose) as a victim or perpetrator drug of CYP3A4. Based on the thorough qualification with clinical DDI data, the model was deemed qualified to predict new, untested clinical scenarios such as alternative drug doses, coadministration of different CYP3A4 substrates, coadministration of weak-moderate inducers and inhibitors of CYP3A4, and in the setting of polymedication in vivo. The model allows detailed analyses of DDI behaviors to inform appropriate prescribing of concomitant medications in patients treated with iclepertin.

摘要

尽管认知功能预后不良且给患者带来巨大负担,但目前尚无获批用于治疗精神分裂症相关认知障碍症状(CIAS)的药物疗法。艾氯胺酮(BI 425809)是一种强效且选择性的甘氨酸转运体-1(GlyT1)抑制剂,曾处于治疗CIAS的III期研发阶段。艾氯胺酮由细胞色素P450(CYP)3A4酶代谢,且在超治疗浓度时也会诱导CYP3A4,因此预计会与CYP3A4的作用物和底物发生药物相互作用(DDIs)。基于艾氯胺酮的理化性质、体外研究及I期临床数据(包括不同给药途径、剂型、剂量水平、单剂量和多剂量给药以及饮食状态)构建并验证了一个基于生理的药代动力学(PBPK)模型。利用与强效CYP3A4诱导剂(利福平)和强效CYP3A4抑制剂(伊曲康唑)的DDIs临床数据对艾氯胺酮PBPK模型进行了进一步验证。然后将经验证的模型应用于模拟每日10毫克艾氯胺酮(预期治疗剂量)作为CYP3A4的受影响药物或作用药物时的DDIs。基于对临床DDI数据的全面验证,该模型被认为有资格预测新的、未经测试的临床情况,如替代药物剂量、不同CYP3A4底物的联合给药、CYP3A4的弱-中度诱导剂和抑制剂的联合给药以及体内多药联用的情况。该模型允许对DDI行为进行详细分析,以为接受艾氯胺酮治疗的患者合理开具联合用药提供依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc9c/12358303/be5616bf8847/PSP4-14-1391-g002.jpg

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