Physiologically based pharmacokinetic modeling to predict the effect of risperidone on aripiprazole pharmacokinetics in subjects with different CYP2D6 genotypes and individuals with hepatic impairment.

IF 3.4 3区 医学 Q2 PHARMACOLOGY & PHARMACY
Therapeutic Advances in Drug Safety Pub Date : 2024-12-18 eCollection Date: 2024-01-01 DOI:10.1177/20420986241303432
Fan Mou, Zhiwei Huang, Yu Cheng, Xue Zhao, Xiujia Sun, Huafang Li, Shunying Yu
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引用次数: 0

Abstract

Background: Aripiprazole and risperidone, widely used atypical antipsychotics, are commonly adjunctively prescribed in clinical practice. When aripiprazole was combined with risperidone, the genotype of drug-metabolizing enzymes and liver impairment may lead to complex pharmacokinetic changes. The Physiologically Based Pharmacokinetic (PBPK) model can predict the influence of these factors on plasma concentration and optimize dosage regimens.

Objectives: This study aims to investigate the pharmacokinetic changes of aripiprazole caused by various influencing factors when it was co-administered with risperidone through PBPK models.

Design: The PBPK models of aripiprazole and risperidone were developed by gathering physicochemical parameters and drug-specific parameters. Then, by combining the inhibitory parameters, the enzymatic kinetic parameters of CYP2D6 genotypes, and the changes in anatomical and physiological parameters when liver function is damaged, the corresponding PBPK models were further established. Finally, this study put forward dosage optimization recommendations for situations where risks may exist.

Methods: The comparison between predicted and observed plasma concentration data, along with the assessment of pharmacokinetic parameters, was utilized to evaluate the fit performance of the models.

Results: The simulations of the PBPK model revealed that co-administration of risperidone did not result in significant changes in aripiprazole pharmacokinetics. However, in individuals with mild hepatic impairment and CYP2D6 normal metabolizer, a dose reduction of approximately 11% was advised when aripiprazole was combined with risperidone. When individuals with mild liver damage have CYP2D6 genotypes of intermediate metabolizer (IM) and poor metabolizer (PM), aripiprazole doses should be further reduced to 61% and 51%, respectively.

Conclusion: The co-administration of aripiprazole and risperidone is generally considered safe from a pharmacokinetic perspective. However, if individuals have a CYP2D6 genotype of IM or PM and/or if they have mild hepatic impairment, adjusting the dose of aripiprazole is advisable to mitigate potential risks when combining it with risperidone.

基于生理的药代动力学建模,预测利培酮对不同CYP2D6基因型受试者和肝功能障碍患者阿立哌唑药代动力学的影响。
背景:阿立哌唑和利培酮是应用广泛的非典型抗精神病药物,在临床中常作为辅助用药。当阿立哌唑与利培酮合用时,药物代谢酶基因型和肝损害可能导致复杂的药代动力学变化。基于生理的药代动力学(PBPK)模型可以预测这些因素对血药浓度的影响并优化给药方案。目的:通过PBPK模型,探讨阿立哌唑与利培酮共给药时各种影响因素对其药代动力学的影响。设计:通过收集理化参数和药物特异性参数建立阿立哌唑和利培酮的PBPK模型。然后,结合CYP2D6基因型的抑制参数、酶促动力学参数以及肝功能受损时解剖生理参数的变化,进一步建立相应的PBPK模型。最后,本研究针对可能存在风险的情况提出了用量优化建议。方法:通过比较预测与观测的血药浓度数据,并评估药代动力学参数,评价模型的拟合性能。结果:PBPK模型模拟显示,利培酮共给药对阿立哌唑药代动力学无显著影响。然而,在轻度肝功能损害和CYP2D6代谢正常的个体中,当阿立哌唑与利培酮联合使用时,建议剂量减少约11%。当轻度肝损害个体CYP2D6基因型为中间代谢物(IM)和差代谢物(PM)时,应进一步减少阿立哌唑的剂量,分别为61%和51%。结论:从药代动力学角度看,阿立哌唑与利培酮合用是安全的。然而,如果个体CYP2D6基因型为IM或PM和/或有轻度肝功能损害,建议调整阿立哌唑的剂量,以减轻与利培酮合用时的潜在风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Therapeutic Advances in Drug Safety
Therapeutic Advances in Drug Safety Medicine-Pharmacology (medical)
CiteScore
6.70
自引率
4.50%
发文量
31
审稿时长
9 weeks
期刊介绍: Therapeutic Advances in Drug Safety delivers the highest quality peer-reviewed articles, reviews, and scholarly comment on pioneering efforts and innovative studies pertaining to the safe use of drugs in patients. The journal has a strong clinical and pharmacological focus and is aimed at clinicians and researchers in drug safety, providing a forum in print and online for publishing the highest quality articles in this area. The editors welcome articles of current interest on research across all areas of drug safety, including therapeutic drug monitoring, pharmacoepidemiology, adverse drug reactions, drug interactions, pharmacokinetics, pharmacovigilance, medication/prescribing errors, risk management, ethics and regulation.
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