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基于生理的药代动力学模型预测美托咪定暴露受羧酸酯酶 1 遗传药理学、药物相互作用和性别相互作用的影响。

Physiologically-Based Pharmacokinetic Modeling to Predict Methylphenidate Exposure Affected by Interplay Among Carboxylesterase 1 Pharmacogenetics, Drug-Drug Interactions, and Sex.

机构信息

Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI, 48109, United States.

Alliance Pharma, Inc, Malvern, PA, 19355, United States.

出版信息

J Pharm Sci. 2022 Sep;111(9):2606-2613. doi: 10.1016/j.xphs.2022.04.019. Epub 2022 May 6.

Abstract

BACKGROUND AND OBJECTIVE

The pharmacokinetics (PK) of methylphenidate (MPH) differ significantly among individuals. Carboxylesterase 1 (CES1) is the primary enzyme metabolizing MPH, and its function is affected by genetic variants, drug-drug interaction (DDI), and sex. The object of this study is to evaluate CES1 pharmacogenetics as related to MPH metabolism using human liver samples and develop a physiologically-based pharmacokinetic (PBPK) modeling approach to investigate the influence of CES1 genotypes and other factors on MPH PK.

METHODS

The effect of the CES1 variant G143E (rs71647871) on MPH metabolism was studied utilizing 102 individual human liver S9 (HLS9) fraction samples. PBPK models were developed using the population-based PBPK software PK-Sim® by incorporating the HLS9 incubation data. The established models were applied to simulate MPH PK profiles under various clinical scenarios, including different genotypes, drug-alcohol interactions, and the difference between males and females.

RESULTS

The HLS9 incubation study showed that subjects heterozygous for the CES1 variant G143E metabolized MPH at a rate of approximately 50% of that in non-carriers. The developed PBPK models successfully predicted the exposure alteration of MPH from the G143E genetic variant, ethanol-MPH DDI, and sex. Importantly, the study suggests that male G143E carriers who are alcohol consumers are at a higher risk of MPH overexposure.

CONCLUSION

PBPK modeling provides a means for better understanding the mechanisms underlying interindividual variability in MPH PK and PD and could be utilized to develop a safer and more effective MPH pharmacotherapy regimen.

摘要

背景与目的

哌醋甲酯(MPH)的药代动力学(PK)在个体之间存在显著差异。羧酸酯酶 1(CES1)是代谢 MPH 的主要酶,其功能受遗传变异、药物-药物相互作用(DDI)和性别影响。本研究旨在利用人肝样本评估 CES1 药物遗传学与 MPH 代谢的关系,并开发一种基于生理学的药代动力学(PBPK)建模方法,以研究 CES1 基因型和其他因素对 MPH PK 的影响。

方法

利用 102 个人肝 S9(HLS9)部分样本研究 CES1 变体 G143E(rs71647871)对 MPH 代谢的影响。通过将 HLS9 孵育数据纳入基于人群的 PBPK 软件 PK-Sim®,开发了 PBPK 模型。建立的模型用于模拟各种临床情况下的 MPH PK 曲线,包括不同基因型、药物-酒精相互作用以及男性和女性之间的差异。

结果

HLS9 孵育研究表明,CES1 变体 G143E 杂合子代谢 MPH 的速度约为非携带者的 50%。开发的 PBPK 模型成功预测了 G143E 遗传变异、乙醇-MPH DDI 和性别对 MPH 暴露的改变。重要的是,该研究表明,男性 G143E 携带者且为酒精消费者存在 MPH 过度暴露的更高风险。

结论

PBPK 建模为更好地理解 MPH PK 和 PD 个体间变异性的机制提供了一种手段,并可用于开发更安全、更有效的 MPH 药物治疗方案。

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