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应用基于生理的药代动力学结合 DPP-4 占有率模型预测替格列汀和奥马格列汀在健康人群和肾功能损害患者中的药代动力学和药效学。

Prediction of pharmacokinetics and pharmacodynamics of trelagliptin and omarigliptin in healthy humans and in patients with renal impairment using physiologically based pharmacokinetic combined DPP-4 occupancy modeling.

机构信息

Department of pharmacy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.

School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, China.

出版信息

Biomed Pharmacother. 2022 Sep;153:113509. doi: 10.1016/j.biopha.2022.113509. Epub 2022 Aug 4.

Abstract

BACKGROUND

This study aimed to build a mathematical model of physiologically based pharmacokinetic combined DPP-4 occupancy (PBPK-DO) in humans to provide some recommendations for dosing adjustment in patients with renal impairment.

METHODS

The PBPK-DO model was built using physicochemical and biochemical properties and binding kinetics data of TRE and OMA, and then validated by the clinically observed pharmacokinetics (PK) and pharmacodynamics (PD). Finally, the model was applied to determine dose adjustment in patients with renal impairment.

RESULTS

The predicted PK and DPP-4 occupancy matched well with the clinically observed data, and all absolute average-folding errors (AAFEs) were within 2. The simulations showed that TRE and OMA were both suggested to only support dose reduction by half in patients with severe renal impairment based on this PBPK-DO model, which is different from the commendations only in terms of their AUC changes. These simulation results were in good agreement with clinical recommendations about dosage adjustment in patients.

CONCLUSION

The present PBPK-DO model can simultaneously predict PK and PD of TRE and OMA in humans and also provide valuable recommendations for dosing adjustment in renal impairment patients, which cannot be achieved by alone depending on PK change.

摘要

背景

本研究旨在建立一种基于生理的药代动力学结合 DPP-4 占有率(PBPK-DO)的数学模型,为肾功能损害患者的剂量调整提供一些建议。

方法

使用 TRE 和 OMA 的物理化学和生化特性以及结合动力学数据来构建 PBPK-DO 模型,然后通过临床观察的药代动力学(PK)和药效学(PD)进行验证。最后,该模型用于确定肾功能损害患者的剂量调整。

结果

预测的 PK 和 DPP-4 占有率与临床观察数据吻合良好,所有绝对平均折叠误差(AAFEs)均在 2 以内。模拟结果表明,根据该 PBPK-DO 模型,严重肾功能损害患者的 TRE 和 OMA 均建议减半剂量,这与 AUC 变化的建议不同。这些模拟结果与关于肾功能损害患者剂量调整的临床建议一致。

结论

本研究中的 PBPK-DO 模型可同时预测 TRE 和 OMA 在人体内的 PK 和 PD,还可为肾功能损害患者的剂量调整提供有价值的建议,这是仅根据 PK 变化无法实现的。

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