Model Informed Drug Development Overview

Jan 10, 2025

Lecture Notes: Model Informed Drug Development - PK Modeling

Presenter

  • Stacy Tannin Bal, Lead of Pharmacometrics, Estell Pharma Global Development
  • Email provided for feedback

Introduction

  • Focus on model-informed drug development (MID)
  • Importance of modeling and simulation in pharmacometrics

Key Questions in Drug Development

  • Appropriate individual dose for a patient
  • Dose adjustments for non-responders or adverse events
  • Impact of missed doses or overdosing
  • Effect onset and duration

Importance of Pharmacokinetics (PK) and Pharmacodynamics (PD)

  • PK: Relates dose to drug concentration profile (dose, regimen, formulation)
  • PD: Links drug concentration to downstream response (direct or complex)

Objectives of Pharmacometrics

  • Ensure right dose, drug, patient, and timing
  • Balance efficacy and safety

Modeling Types and Application

  • PK Modeling: How dose becomes concentration
  • PKPD Modeling: Concentration leads to response
  • Disease Progression Modeling: Disease changes over time without drug
  • Quantitative Systems Pharmacology: Link PK to complex disease models

Pharmacokinetics (PK) Basics

  • Physical/chemical process: Absorption, Distribution, Metabolism, Excretion (ADME)
  • Parameters: Clearance, Volume of distribution, Half-life, Exposure, Cmax, Tmax

Data Collection Stages

  • Pre-Clinical: Wide range dosing, scaling to humans
  • First-In-Human: Single/multiple ascending doses, steady-state PK
  • Clinical Pharmacology Studies: Food effect, renal/hepatic impairment, drug interactions
  • Later Phase Studies: PK in target populations, variability assessment

PK Analysis Methods

  • Non-Compartmental Analysis (NCA): Direct data use, fewer assumptions
  • Compartmental Analysis: Model-based, interpolation/extrapolation
  • Population PK (PopPK): Nonlinear mixed effects modeling, covariate analysis

Nonlinearity and Saturation

  • Linear PK vs Nonlinear (dose-dependent processes)
  • Saturation: Active transport, protein binding, metabolism

Absorption Modeling and Challenges

  • Complex due to formulation and physiology
  • PBPK Modeling: Physiologically-based, mechanistic approach
  • Used for scaling (e.g., rats to humans), drug-drug interactions

Physiologically Based PK (PBPK)

  • Represents organs, blood flows
  • Scalable across species and populations

PK to PD and Future Topics

  • Part two will focus on disease progression, drug impact on PD, quantitative systems pharmacology

Conclusion

  • Importance of PK principles
  • Invitation to join next session and contact for questions