Postnatal growth considerations for PBPK modeling

Richard H Luecke1, Bruce A Pearce, Walter D Wosilait

  • 1Department of Chemical Engineering, University of Missouri-Columbia, Columbia, Missouri, USA.

Insights

A new PostNatal software models postnatal growth from birth to adulthood in humans and animals. This physiologically based pharmacokinetic (PBPK) model uses species-specific growth curves and organ data for accurate simulations.

Area of Science:

  • Pharmacokinetics and Physiological Modeling
  • Developmental Biology and Physiology
  • Computational Biology and Bioinformatics

Background:

  • Physiologically based pharmacokinetic (PBPK) models are crucial for understanding chemical disposition in vivo.
  • Accurate modeling of postnatal growth is essential for pediatric and veterinary risk assessments.
  • Existing models often lack comprehensive postnatal growth algorithms across multiple species.

Purpose of the Study:

  • To develop a PBPK model and software (PostNatal) specifically designed for postnatal growth.
  • To integrate species- and gender-specific growth curves and organometric data.
  • To provide a tool for simulating pharmacokinetic processes during development.

Main Methods:

  • Development of a Windows-based program named PostNatal.
  • Incorporation of postnatal growth algorithms relating organ/tissue weights to total body weight.
  • Utilization of species- and gender-specific growth curves for humans, dogs, rats, and mice.
  • Assignment of organ weights and blood flows based on simulated body weight for 22 organs/tissues.

Main Results:

  • The PostNatal software successfully models postnatal growth across different species and genders.
  • Organ weights and blood flows are dynamically adjusted based on established growth algorithms.
  • The model accommodates body weight limitations based on available data for algorithm definition.

Conclusions:

  • The PostNatal PBPK model provides a robust framework for studying developmental pharmacokinetics.
  • This tool enhances the accuracy of risk assessments for children and animals by incorporating realistic growth.
  • The software facilitates more precise simulations of physiological changes during postnatal development.

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