Decoding Nonlinearities in AAV-Based Gene Therapy Using PBPK Modelling

The objective of this research was to develop a physiologically based pharmacokinetic (PBPK) model for AAV-based gene therapy, which can capture the nonlinearity observed in both viral vector and transgene product pharmacokinetics (PK) across a wide range of doses, while accounting for the effect of immunogenicity. To develop the PBPK model, previously published PK data generated in mice using AAV8 vector containing the transgene for a non-binding monoclonal antibody was used. Immunocompetent mice were administered with AAV at a wide range of doses (1E8, 1E9, 5E9, 1E10, 2E10, 1E11, 2E11, 1E12, and 1E13vg per mouse), and the PK of transgene and transgene product (i.e., antibody) in plasma and/or tissue was collected. The nonlinearity in transgene product concentrations was characterized using a saturable production process and a concentration-dependent antibody elimination rate was used to characterize the effect of anti-drug antibody (ADA) on transgene product. The model successfully described the PK of both the vector and the transgene product across all dose levels and accurately captured the sigmoidal dose-exposure-response relationship for AAV. Notably, the model described a dose-dependent ADA response, with the high dose group exhibiting an earlier onset and faster rate of transgene product elimination. Lower dose group showed delayed onset and minimal ADA-mediated elimination of transgene product. Overall, the PBPK model presented here effectively characterizes vector and transgene product kinetics in mice and demonstrates utility in preclinical-to-clinical translation and dose optimization of AAV-based gene therapies.

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Publication Details

Journal
The AAPS Journal
Published
2026-09-08
DOI
https://doi.org/10.1208/s12248-026-01285-0
Primary Topic
Virus-based gene therapy research
Type
article
Field-Weighted Citation Impact
0.00

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article

Decoding Nonlinearities in AAV-Based Gene Therapy Using PBPK Modelling

Shufang Liu, Dhaval K. Shah, Mokshada Kumar, Aneesh Rajwade
The AAPS Journal
Virus-based gene therapy research
article

Decoding Nonlinearities in AAV-Based Gene Therapy Using PBPK Modelling

Shufang Liu, Dhaval K. Shah, Mokshada Kumar, Aneesh Rajwade
article en

Abstract

The objective of this research was to develop a physiologically based pharmacokinetic (PBPK) model for AAV-based gene therapy, which can capture the nonlinearity observed in both viral vector and transgene product pharmacokinetics (PK) across a wide range of doses, while accounting for the effect of immunogenicity. To develop the PBPK model, previously published PK data generated in mice using AAV8 vector containing the transgene for a non-binding monoclonal antibody was used. Immunocompetent mice were administered with AAV at a wide range of doses (1E8, 1E9, 5E9, 1E10, 2E10, 1E11, 2E11, 1E12, and 1E13vg per mouse), and the PK of transgene and transgene product (i.e., antibody) in plasma and/or tissue was collected. The nonlinearity in transgene product concentrations was characterized using a saturable production process and a concentration-dependent antibody elimination rate was used to characterize the effect of anti-drug antibody (ADA) on transgene product. The model successfully described the PK of both the vector and the transgene product across all dose levels and accurately captured the sigmoidal dose-exposure-response relationship for AAV. Notably, the model described a dose-dependent ADA response, with the high dose group exhibiting an earlier onset and faster rate of transgene product elimination. Lower dose group showed delayed onset and minimal ADA-mediated elimination of transgene product. Overall, the PBPK model presented here effectively characterizes vector and transgene product kinetics in mice and demonstrates utility in preclinical-to-clinical translation and dose optimization of AAV-based gene therapies.

The AAPS JournalVol. 28(5)
University at Buffalo, State University of New York (US)
National Cancer Institute, National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases
Zero hunger
Openalex Percentile: Top 11%
Virus-based gene therapy research
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Decoding Nonlinearities in AAV-Based Gene Therapy Using PBPK Modelling — Shufang Liu, Dhaval K. Shah, et al. · The AAPS Journal (2026) | TGRS Research Map | TGRS