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Journal Article

Prospective approaches to gene therapy computational modeling – spotlight on viral gene therapy

Mary P Choules; Peter L. Bonate; Nakyo Heo; Jared Weddell
Journal of Pharmacokinetics and Pharmacodynamics · Vol. 51, Issue 5 · pp. 399-416 · 2024

Abstract

Clinical studies have found there still exists a lack of gene therapy dose-toxicity and dose-efficacy data that causes gene therapy dose selection to remain elusive. Model informed drug development (MIDD) has become a standard tool implemented throughout the discovery, development, and approval of pharmaceutical therapies, and has the potential to inform dose-toxicity and dose-efficacy relationships to support gene therapy dose selection. Despite this potential, MIDD approaches for gene therapy remain immature and require standardization to be useful for gene therapy clinical programs. With the goal to advance MIDD approaches for gene therapy, in this review we first provide an overview of gene therapy types and how they differ from a bioanalytical, formulation, route of administration, and regulatory standpoint. With this biological and regulatory background, we propose how MIDD can be advanced for AAV-based gene therapies by utilizing physiological based pharmacokinetic modeling and quantitative systems pharmacology to holistically inform AAV and target protein dynamics following dosing. We discuss how this proposed model, allowing for in-depth exploration of AAV pharmacology, could be the key the field needs to treat these unmet disease populations.

Bibliographic Information

JournalJournal of Pharmacokinetics and Pharmacodynamics
PublisherSpringer
Publication Date2024-10-01
Publication Year2024
Volume51
Issue5
Pages399-416
Document TypeJournal Article
Print ISSN1567-567X
eISSN1573-8744
DOI10.1007/s10928-023-09889-1

Access Information

NARA Access Coverage1973-01-01~Current
Journal Homepagehttps://www.springer.com/journal/10928
Publisher PageOpen Publisher Page
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