A Semimechanistic Ocular Pharmacokinetic Model for ADVM-022 Gene Therapy Describing the Dose-Exposure Relationship in

Florian Hugi1, Jannik Vollmer1, Lionel Renaud1

  • 1LYO-X AG, Henric Petri Strasse 6, Basel 4051, Switzerland.

PubMed

Insights

A new mathematical model predicts aflibercept expression and pharmacokinetics for gene therapy ADVM-022, aiding first-in-human dose selection for wet age-related macular degeneration.

Area of Science:

  • Ocular pharmacology
  • Gene therapy pharmacokinetics
  • Mathematical modeling in drug development

Background:

  • Gene therapies require established pharmacological properties for safe and effective clinical translation.
  • Predicting human doses and dose-exposure relationships from animal models for novel gene therapies remains challenging.
  • A quantitative framework is needed to improve preclinical design and clinical dose adjustments for gene therapies.

Purpose of the Study:

  • To develop a semimechanistic mathematical model for aflibercept expression and pharmacokinetics (PK) after intravitreal (IVT) ADVM-022 administration.
  • To link adeno-associated virus (AAV) dose to aflibercept production and characterize ocular PK in preclinical and clinical settings.
  • To predict ocular aflibercept concentrations in humans based on monkey data and clinical trial results.

Main Methods:

  • Developed a semimechanistic mathematical model integrating ocular PK and gene expression.
  • Utilized pooled PK data from monkey studies and phase 1 OPTIC trial data.
  • Incorporated established ocular PK for IVT proteins and linked AAV dose to aflibercept production.

Main Results:

  • The model suggests transduction in both retinal and surrounding ocular tissues after IVT ADVM-022 administration.
  • Increasing AAV doses led to higher transduction and expression, with plateauing levels at higher doses.
  • Model predictions of ocular aflibercept concentrations aligned with observed data from the OPTIC trial.

Conclusions:

  • The developed mathematical model provides a quantitative framework for predicting aflibercept expression and PK following gene therapy.
  • The model supports improved preclinical program design and robust first-in-human dose predictions for gene therapies like ADVM-022.
  • This approach aids in understanding gene therapy pharmacokinetics and facilitates dose adjustments during clinical development for wet age-related macular degeneration.

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