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基于 PBPK 模型的内源性底物肌酐和 N-甲基烟酰胺的肾转运体介导的药物-生物标志物相互作用。

Renal Transporter-Mediated Drug-Biomarker Interactions of the Endogenous Substrates Creatinine and N -Methylnicotinamide: A PBPK Modeling Approach.

机构信息

Clinical Pharmacy, Saarland University, Saarbrücken, Germany.

Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.

出版信息

Clin Pharmacol Ther. 2022 Sep;112(3):687-698. doi: 10.1002/cpt.2636. Epub 2022 Jun 7.

Abstract

Endogenous biomarkers for transporter-mediated drug-drug interaction (DDI) predictions represent a promising approach to facilitate and improve conventional DDI investigations in clinical studies. This approach requires high sensitivity and specificity of biomarkers for the targets of interest (e.g., transport proteins), as well as rigorous characterization of their kinetics, which can be accomplished utilizing physiologically-based pharmacokinetic (PBPK) modeling. Therefore, the objective of this study was to develop PBPK models of the endogenous organic cation transporter (OCT)2 and multidrug and toxin extrusion protein (MATE)1 substrates creatinine and N -methylnicotinamide (NMN). Additionally, this study aimed to predict kinetic changes of the biomarkers during administration of the OCT2 and MATE1 perpetrator drugs trimethoprim, pyrimethamine, and cimetidine. Whole-body PBPK models of creatinine and NMN were developed utilizing studies investigating creatinine or NMN exogenous administration and endogenous synthesis. The newly developed models accurately describe and predict observed plasma concentration-time profiles and urinary excretion of both biomarkers. Subsequently, models were coupled to the previously built and evaluated perpetrator models of trimethoprim, pyrimethamine, and cimetidine for interaction predictions. Increased creatinine plasma concentrations and decreased urinary excretion during the drug-biomarker interactions with trimethoprim, pyrimethamine, and cimetidine were well-described. An additional inhibition of NMN synthesis by trimethoprim and pyrimethamine was hypothesized, improving NMN plasma and urine interaction predictions. To summarize, whole-body PBPK models of creatinine and NMN were built and evaluated to better assess creatinine and NMN kinetics while uncovering knowledge gaps for future research. The models can support investigations of renal transporter-mediated DDIs during drug development.

摘要

内源性生物标志物可用于预测药物-药物相互作用(DDI),这是一种很有前途的方法,可以促进和改善临床研究中的传统 DDI 研究。这种方法需要对感兴趣的靶标(如转运蛋白)的生物标志物具有高灵敏度和特异性,并且需要对其动力学进行严格的特征描述,这可以利用基于生理学的药代动力学(PBPK)模型来实现。因此,本研究的目的是开发内源性有机阳离子转运蛋白(OCT)2 和多药和毒素外排蛋白(MATE)1 底物肌酸和 N -甲基烟酰胺(NMN)的 PBPK 模型。此外,本研究旨在预测 OCT2 和 MATE1 促进剂药物甲氧苄啶、乙胺嘧啶和西咪替丁给药期间生物标志物的动力学变化。利用研究肌酸或 NMN 外源性给药和内源性合成的研究,开发了肌酸和 NMN 的全身 PBPK 模型。新开发的模型准确地描述和预测了两种生物标志物的观察到的血浆浓度-时间曲线和尿排泄。随后,将模型与先前构建和评估的甲氧苄啶、乙胺嘧啶和西咪替丁的促进剂模型耦合,以进行相互作用预测。甲氧苄啶、乙胺嘧啶和西咪替丁与药物-生物标志物相互作用时,肌酸的血浆浓度增加和尿排泄减少得到了很好的描述。假设甲氧苄啶和乙胺嘧啶抑制 NMN 的合成,改善了 NMN 的血浆和尿液相互作用预测。总之,构建和评估了肌酸和 NMN 的全身 PBPK 模型,以更好地评估肌酸和 NMN 的动力学,并揭示未来研究的知识空白。这些模型可以支持药物开发过程中对肾脏转运体介导的 DDI 的研究。

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