Physiologically Based Pharmacokinetic Modelling with Dynamic PET Data to Study the In Vivo Effects of Transporter Inhibition on Hepatobiliary Clearance in Mice
Physiologically based pharmacokinetic modelling (PBPK) is a powerful tool to predict in vivo pharmacokinetics based on physiological parameters and data from in vivo studies and in vitro assays. In vivo PBPK modelling in laboratory animals by noninvasive imaging could help to improve the in vivo-in...
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doaj-8c23c26eb56b4ca4a807da6a5b8f4f9f2020-11-24T20:48:18ZengHindawi-WileyContrast Media & Molecular Imaging1555-43091555-43172018-01-01201810.1155/2018/58490475849047Physiologically Based Pharmacokinetic Modelling with Dynamic PET Data to Study the In Vivo Effects of Transporter Inhibition on Hepatobiliary Clearance in MiceMarco F. Taddio0Linjing Mu1Claudia Keller2Roger Schibli3Stefanie D. Krämer4Radiopharmaceutical Science and Biopharmacy, Institute of Pharmaceutical Sciences, Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, SwitzerlandDepartment of Nuclear Medicine, University Hospital Zurich, SwitzerlandRadiopharmaceutical Science and Biopharmacy, Institute of Pharmaceutical Sciences, Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, SwitzerlandRadiopharmaceutical Science and Biopharmacy, Institute of Pharmaceutical Sciences, Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, SwitzerlandRadiopharmaceutical Science and Biopharmacy, Institute of Pharmaceutical Sciences, Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, SwitzerlandPhysiologically based pharmacokinetic modelling (PBPK) is a powerful tool to predict in vivo pharmacokinetics based on physiological parameters and data from in vivo studies and in vitro assays. In vivo PBPK modelling in laboratory animals by noninvasive imaging could help to improve the in vivo-in vivo translation towards human pharmacokinetics modelling. We evaluated the feasibility of PBPK modelling with PET data from mice. We used data from two of our PET tracers under development, [11C]AM7 and [11C]MT107. PET images suggested hepatobiliary excretion which was reduced after cyclosporine administration. We fitted the time-activity curves of blood, liver, gallbladder/intestine, kidney, and peripheral tissue to a compartment model and compared the resulting pharmacokinetic parameters under control conditions ([11C]AM7 n=2; [11C]MT107, n=4) and after administration of cyclosporine ([11C]MT107, n=4). The modelling revealed a significant reduction in [11C]MT107 hepatobiliary clearance from 35.2±10.9 to 17.1±5.6 μl/min after cyclosporine administration. The excretion profile of [11C]MT107 was shifted from predominantly hepatobiliary (CLH/CLR = 3.8±3.0) to equal hepatobiliary and renal clearance (CLH/CLR = 0.9±0.2). Our results show the potential of PBPK modelling for characterizing the in vivo effects of transporter inhibition on whole-body and organ-specific pharmacokinetics.http://dx.doi.org/10.1155/2018/5849047 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Marco F. Taddio Linjing Mu Claudia Keller Roger Schibli Stefanie D. Krämer |
spellingShingle |
Marco F. Taddio Linjing Mu Claudia Keller Roger Schibli Stefanie D. Krämer Physiologically Based Pharmacokinetic Modelling with Dynamic PET Data to Study the In Vivo Effects of Transporter Inhibition on Hepatobiliary Clearance in Mice Contrast Media & Molecular Imaging |
author_facet |
Marco F. Taddio Linjing Mu Claudia Keller Roger Schibli Stefanie D. Krämer |
author_sort |
Marco F. Taddio |
title |
Physiologically Based Pharmacokinetic Modelling with Dynamic PET Data to Study the In Vivo Effects of Transporter Inhibition on Hepatobiliary Clearance in Mice |
title_short |
Physiologically Based Pharmacokinetic Modelling with Dynamic PET Data to Study the In Vivo Effects of Transporter Inhibition on Hepatobiliary Clearance in Mice |
title_full |
Physiologically Based Pharmacokinetic Modelling with Dynamic PET Data to Study the In Vivo Effects of Transporter Inhibition on Hepatobiliary Clearance in Mice |
title_fullStr |
Physiologically Based Pharmacokinetic Modelling with Dynamic PET Data to Study the In Vivo Effects of Transporter Inhibition on Hepatobiliary Clearance in Mice |
title_full_unstemmed |
Physiologically Based Pharmacokinetic Modelling with Dynamic PET Data to Study the In Vivo Effects of Transporter Inhibition on Hepatobiliary Clearance in Mice |
title_sort |
physiologically based pharmacokinetic modelling with dynamic pet data to study the in vivo effects of transporter inhibition on hepatobiliary clearance in mice |
publisher |
Hindawi-Wiley |
series |
Contrast Media & Molecular Imaging |
issn |
1555-4309 1555-4317 |
publishDate |
2018-01-01 |
description |
Physiologically based pharmacokinetic modelling (PBPK) is a powerful tool to predict in vivo pharmacokinetics based on physiological parameters and data from in vivo studies and in vitro assays. In vivo PBPK modelling in laboratory animals by noninvasive imaging could help to improve the in vivo-in vivo translation towards human pharmacokinetics modelling. We evaluated the feasibility of PBPK modelling with PET data from mice. We used data from two of our PET tracers under development, [11C]AM7 and [11C]MT107. PET images suggested hepatobiliary excretion which was reduced after cyclosporine administration. We fitted the time-activity curves of blood, liver, gallbladder/intestine, kidney, and peripheral tissue to a compartment model and compared the resulting pharmacokinetic parameters under control conditions ([11C]AM7 n=2; [11C]MT107, n=4) and after administration of cyclosporine ([11C]MT107, n=4). The modelling revealed a significant reduction in [11C]MT107 hepatobiliary clearance from 35.2±10.9 to 17.1±5.6 μl/min after cyclosporine administration. The excretion profile of [11C]MT107 was shifted from predominantly hepatobiliary (CLH/CLR = 3.8±3.0) to equal hepatobiliary and renal clearance (CLH/CLR = 0.9±0.2). Our results show the potential of PBPK modelling for characterizing the in vivo effects of transporter inhibition on whole-body and organ-specific pharmacokinetics. |
url |
http://dx.doi.org/10.1155/2018/5849047 |
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