Whole-Body Physiologically Based Pharmacokinetic Modeling of GalNAc-Conjugated siRNAs

<b>Background/Objectives</b>: N-acetyl-galactosamine small interfering RNAs (GalNAc-siRNA) are an emerging class of drugs due to their durable knockdown of disease-related proteins. Direct conjugation of GalNAc onto the siRNA enables targeted uptake into hepatocytes via GalNAc recognitio...

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Main Authors: Emilie Langeskov Salim, Kim Kristensen, Erik Sjögren
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Pharmaceutics
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Online Access:https://www.mdpi.com/1999-4923/17/1/69
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author Emilie Langeskov Salim
Kim Kristensen
Erik Sjögren
author_facet Emilie Langeskov Salim
Kim Kristensen
Erik Sjögren
author_sort Emilie Langeskov Salim
collection DOAJ
description <b>Background/Objectives</b>: N-acetyl-galactosamine small interfering RNAs (GalNAc-siRNA) are an emerging class of drugs due to their durable knockdown of disease-related proteins. Direct conjugation of GalNAc onto the siRNA enables targeted uptake into hepatocytes via GalNAc recognition of the Asialoglycoprotein Receptor (ASGPR). With a transient plasma exposure combined with a prolonged liver half-life, GalNAc-siRNA exhibits distinct disposition characteristics. We aimed to develop a generic GalNAc-siRNAs whole-body physiologically based pharmacokinetic–pharmacodynamic (WB-PBPK-PD) model for describing the pharmacokinetic–pharmacodynamic (PK-PD) relationship and overall tissue distribution in the open-source platform Open Systems Pharmacology Suite. <b>Methods</b>: Model development was performed using published studies in mice leveraging the PK-Sim<sup>®</sup> standard implementation for large molecules with added implementations of ASGPR-mediated liver disposition and downstream target effects. Adequate model performance was achieved across study measurements and included studies adopting a combination of global and compound-specific parameters. <b>Results</b>: The analysis identified significant compound dependencies, e.g., endosomal stability, with direct consequences for the pharmacological effect. Additionally, knowledge gaps in mechanistic understanding related to extravasation and overall tissue distribution were identified during model development. The presented study provides a generic WB-PBPK-PD model for the investigation of GalNAc-siRNAs implemented in a standardized open-source platform.
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spelling doaj-art-0827e8c2d925411b9765d742aeff88e52025-01-24T13:45:48ZengMDPI AGPharmaceutics1999-49232025-01-011716910.3390/pharmaceutics17010069Whole-Body Physiologically Based Pharmacokinetic Modeling of GalNAc-Conjugated siRNAsEmilie Langeskov Salim0Kim Kristensen1Erik Sjögren2Department of Pharmaceutical Bioscience, Translational Drug Discovery and Development, Uppsala University, SE-75124 Uppsala, SwedenDepartment of Discovery PKPD & QSP Modelling, Novo Nordisk A/S, DK-2760 Måløv, DenmarkDepartment of Pharmaceutical Bioscience, Translational Drug Discovery and Development, Uppsala University, SE-75124 Uppsala, Sweden<b>Background/Objectives</b>: N-acetyl-galactosamine small interfering RNAs (GalNAc-siRNA) are an emerging class of drugs due to their durable knockdown of disease-related proteins. Direct conjugation of GalNAc onto the siRNA enables targeted uptake into hepatocytes via GalNAc recognition of the Asialoglycoprotein Receptor (ASGPR). With a transient plasma exposure combined with a prolonged liver half-life, GalNAc-siRNA exhibits distinct disposition characteristics. We aimed to develop a generic GalNAc-siRNAs whole-body physiologically based pharmacokinetic–pharmacodynamic (WB-PBPK-PD) model for describing the pharmacokinetic–pharmacodynamic (PK-PD) relationship and overall tissue distribution in the open-source platform Open Systems Pharmacology Suite. <b>Methods</b>: Model development was performed using published studies in mice leveraging the PK-Sim<sup>®</sup> standard implementation for large molecules with added implementations of ASGPR-mediated liver disposition and downstream target effects. Adequate model performance was achieved across study measurements and included studies adopting a combination of global and compound-specific parameters. <b>Results</b>: The analysis identified significant compound dependencies, e.g., endosomal stability, with direct consequences for the pharmacological effect. Additionally, knowledge gaps in mechanistic understanding related to extravasation and overall tissue distribution were identified during model development. The presented study provides a generic WB-PBPK-PD model for the investigation of GalNAc-siRNAs implemented in a standardized open-source platform.https://www.mdpi.com/1999-4923/17/1/69siRNAphysiologically based pharmacokinetic modelingPK-SimASGPRRISCGalNAc
spellingShingle Emilie Langeskov Salim
Kim Kristensen
Erik Sjögren
Whole-Body Physiologically Based Pharmacokinetic Modeling of GalNAc-Conjugated siRNAs
Pharmaceutics
siRNA
physiologically based pharmacokinetic modeling
PK-Sim
ASGPR
RISC
GalNAc
title Whole-Body Physiologically Based Pharmacokinetic Modeling of GalNAc-Conjugated siRNAs
title_full Whole-Body Physiologically Based Pharmacokinetic Modeling of GalNAc-Conjugated siRNAs
title_fullStr Whole-Body Physiologically Based Pharmacokinetic Modeling of GalNAc-Conjugated siRNAs
title_full_unstemmed Whole-Body Physiologically Based Pharmacokinetic Modeling of GalNAc-Conjugated siRNAs
title_short Whole-Body Physiologically Based Pharmacokinetic Modeling of GalNAc-Conjugated siRNAs
title_sort whole body physiologically based pharmacokinetic modeling of galnac conjugated sirnas
topic siRNA
physiologically based pharmacokinetic modeling
PK-Sim
ASGPR
RISC
GalNAc
url https://www.mdpi.com/1999-4923/17/1/69
work_keys_str_mv AT emilielangeskovsalim wholebodyphysiologicallybasedpharmacokineticmodelingofgalnacconjugatedsirnas
AT kimkristensen wholebodyphysiologicallybasedpharmacokineticmodelingofgalnacconjugatedsirnas
AT eriksjogren wholebodyphysiologicallybasedpharmacokineticmodelingofgalnacconjugatedsirnas