Elucidation of DPP‐4 involvement in systemic distribution and renal reabsorption of linagliptin by PBPK modeling with a cluster Gauss–Newton method

Abstract The dipeptidyl peptidase‐4 (DPP‐4) inhibitor linagliptin (LNG) exhibits target‐mediated drug disposition (TMDD) in clinical settings, characterized by saturable binding to plasma soluble DPP‐4 (sDPP‐4) and tissue transmembrane DPP‐4 (tDPP‐4). Previous studies have indicated that saturable r...

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Main Authors: Ryo Nakamura, Takashi Yoshikado, Yasunori Aoki, Yuichi Sugiyama, Koji Chiba
Format: Article
Language:English
Published: Wiley 2024-10-01
Series:Clinical and Translational Science
Online Access:https://doi.org/10.1111/cts.70047
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author Ryo Nakamura
Takashi Yoshikado
Yasunori Aoki
Yuichi Sugiyama
Koji Chiba
author_facet Ryo Nakamura
Takashi Yoshikado
Yasunori Aoki
Yuichi Sugiyama
Koji Chiba
author_sort Ryo Nakamura
collection DOAJ
description Abstract The dipeptidyl peptidase‐4 (DPP‐4) inhibitor linagliptin (LNG) exhibits target‐mediated drug disposition (TMDD) in clinical settings, characterized by saturable binding to plasma soluble DPP‐4 (sDPP‐4) and tissue transmembrane DPP‐4 (tDPP‐4). Previous studies have indicated that saturable renal reabsorption of LNG contributes to its nonlinear urinary excretion observed in humans and wild‐type mice, but not in Dpp‐4 knockout mice. To elucidate the mechanisms underlying these complex phenomena, including DPP‐4‐related renal reabsorption of LNG, we employed physiologically‐based pharmacokinetic (PBPK) modeling combined with a cluster Gauss–Newton method (CGNM). The CGNM facilitated the exploration of parameters in rat and human PBPK models for LNG and the determination of parameter identifiability. Through PBPK–CGNM analysis using reported autoradiography data ([14C]‐LNG) in wild‐type and Dpp‐4‐deficient rats, DPP‐4‐specific distributions of LNG in various tissues were clearly differentiated from nonspecific parts. By fitting to human plasma concentrations and urinary and fecal excretions of LNG after intravenous and oral administrations, multiple unknown PBPK parameters were simultaneously estimated by the CGNM. Notably, the amount of tDPP‐4 and the reabsorption clearance for LNG–DPP‐4 complexes were identifiable, indicating their critical role in explaining the complex nonlinear pharmacokinetics of LNG. Compared with previous PBPK analyses, the CGNM allowed us to incorporate greater model complexity (e.g., consideration of tDPP‐4 expressions and in vitro binding kinetics), ultimately resulting in a more accurate reproduction of LNG's TMDD. In conclusion, by considering LNG as a high‐affinity probe for DPP‐4, comprehensive PBPK–CGNM analyses suggested a dynamic whole‐body distribution of DPP‐4, including its involvement in the renal reabsorption of LNG.
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spelling doaj-art-e6efeaf8ed2c48789699db441dedbad62025-08-20T02:11:11ZengWileyClinical and Translational Science1752-80541752-80622024-10-011710n/an/a10.1111/cts.70047Elucidation of DPP‐4 involvement in systemic distribution and renal reabsorption of linagliptin by PBPK modeling with a cluster Gauss–Newton methodRyo Nakamura0Takashi Yoshikado1Yasunori Aoki2Yuichi Sugiyama3Koji Chiba4Laboratory of Clinical Pharmacology Yokohama University of Pharmacy Yokohama‐shi Kanagawa JapanLaboratory of Clinical Pharmacology Yokohama University of Pharmacy Yokohama‐shi Kanagawa JapanLaboratory of Quantitative System Pharmacokinetics/Pharmacodynamics Josai International University Tokyo JapanLaboratory of Quantitative System Pharmacokinetics/Pharmacodynamics Josai International University Tokyo JapanLaboratory of Clinical Pharmacology Yokohama University of Pharmacy Yokohama‐shi Kanagawa JapanAbstract The dipeptidyl peptidase‐4 (DPP‐4) inhibitor linagliptin (LNG) exhibits target‐mediated drug disposition (TMDD) in clinical settings, characterized by saturable binding to plasma soluble DPP‐4 (sDPP‐4) and tissue transmembrane DPP‐4 (tDPP‐4). Previous studies have indicated that saturable renal reabsorption of LNG contributes to its nonlinear urinary excretion observed in humans and wild‐type mice, but not in Dpp‐4 knockout mice. To elucidate the mechanisms underlying these complex phenomena, including DPP‐4‐related renal reabsorption of LNG, we employed physiologically‐based pharmacokinetic (PBPK) modeling combined with a cluster Gauss–Newton method (CGNM). The CGNM facilitated the exploration of parameters in rat and human PBPK models for LNG and the determination of parameter identifiability. Through PBPK–CGNM analysis using reported autoradiography data ([14C]‐LNG) in wild‐type and Dpp‐4‐deficient rats, DPP‐4‐specific distributions of LNG in various tissues were clearly differentiated from nonspecific parts. By fitting to human plasma concentrations and urinary and fecal excretions of LNG after intravenous and oral administrations, multiple unknown PBPK parameters were simultaneously estimated by the CGNM. Notably, the amount of tDPP‐4 and the reabsorption clearance for LNG–DPP‐4 complexes were identifiable, indicating their critical role in explaining the complex nonlinear pharmacokinetics of LNG. Compared with previous PBPK analyses, the CGNM allowed us to incorporate greater model complexity (e.g., consideration of tDPP‐4 expressions and in vitro binding kinetics), ultimately resulting in a more accurate reproduction of LNG's TMDD. In conclusion, by considering LNG as a high‐affinity probe for DPP‐4, comprehensive PBPK–CGNM analyses suggested a dynamic whole‐body distribution of DPP‐4, including its involvement in the renal reabsorption of LNG.https://doi.org/10.1111/cts.70047
spellingShingle Ryo Nakamura
Takashi Yoshikado
Yasunori Aoki
Yuichi Sugiyama
Koji Chiba
Elucidation of DPP‐4 involvement in systemic distribution and renal reabsorption of linagliptin by PBPK modeling with a cluster Gauss–Newton method
Clinical and Translational Science
title Elucidation of DPP‐4 involvement in systemic distribution and renal reabsorption of linagliptin by PBPK modeling with a cluster Gauss–Newton method
title_full Elucidation of DPP‐4 involvement in systemic distribution and renal reabsorption of linagliptin by PBPK modeling with a cluster Gauss–Newton method
title_fullStr Elucidation of DPP‐4 involvement in systemic distribution and renal reabsorption of linagliptin by PBPK modeling with a cluster Gauss–Newton method
title_full_unstemmed Elucidation of DPP‐4 involvement in systemic distribution and renal reabsorption of linagliptin by PBPK modeling with a cluster Gauss–Newton method
title_short Elucidation of DPP‐4 involvement in systemic distribution and renal reabsorption of linagliptin by PBPK modeling with a cluster Gauss–Newton method
title_sort elucidation of dpp 4 involvement in systemic distribution and renal reabsorption of linagliptin by pbpk modeling with a cluster gauss newton method
url https://doi.org/10.1111/cts.70047
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