Pharmacodynamic Models of Indirect Effects and Irreversible Inactivation with Turnover: Applicability to

Angelia F Wang1, Vivaswath S Ayyar1

  • 1Clinical Pharmacology & Pharmacometrics, Janssen Research and Development, Spring House, PA, USA.

PubMed

Insights

Indirect response (IDR) and turnover with inactivation (TI) models mathematically converge, unifying delayed drug effect modeling. This research clarifies their properties and applicability for gene-silencing and protein-degrading agents.

Area of Science:

  • Pharmacodynamics
  • Pharmacokinetics
  • Systems Biology

Background:

  • Indirect response (IDR) and turnover with inactivation (TI) are key mechanism-based pharmacodynamic models for delayed drug effects.
  • Classical IDR-IV and TI models exhibit distinct response-time profiles based on dose and time to peak response.
  • Understanding their mathematical relationship is crucial for accurate drug effect modeling.

Purpose of the Study:

  • To demonstrate the mathematical convergence of IDR-IV and TI models.
  • To explore the influence of pharmacologic effect terms on model behavior.
  • To propose a generalized dynamic model for mRNA and protein turnover.

Main Methods:

  • Mathematical analysis of IDR-IV and TI models with linear and nonlinear pharmacologic effect terms.
  • Model-fitting to pharmacokinetic-pharmacodynamic (PK-PD) data from PROTACs and siRNA agents.
  • Investigation of PK and PD parameter influence on response time.

Main Results:

  • IDR-IV and TI models demonstrate mathematical convergence under identical conditions.
  • The time of peak response in IDR-IV models is sensitive to PK/PD parameters and effect type.
  • The generalized model effectively describes mRNA and protein turnover dynamics.
  • Model-fitting successfully applied to PROTACs and siRNA PK-PD data.

Conclusions:

  • IDR-IV and TI models are mathematically linked, offering a unified framework for delayed drug effects.
  • The study clarifies model properties, convergence, and expected responses for targeted gene-silencing and protein-degrading agents.
  • Well-designed in vivo studies are essential for robust PK-PD model selection and parameter estimation.

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