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Murine Drinking Models in the Development of Pharmacotherapies for Alcoholism: Drinking in the Dark and Two-bottle Choice

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Published on: January 7, 2019

Physiologically based pharmacokinetic (PBPK) models for ethanol.

Martin H Plawecki¹, Jae-Joon Han, Peter C Doerschuk

¹Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN 46202-5121, USA.

IEEE Transactions on Bio-Medical Engineering

|January 8, 2009

Summary

This summary is machine-generated.

Physiologically based pharmacokinetic models help estimate ethanol infusion rates to achieve target breath ethanol levels. This research examines their mathematical basis for improved control and analysis in pharmacokinetic studies.

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Area of Science:

Pharmacokinetics
Physiological Modeling
Ethanol Metabolism

Background:

Physiologically based pharmacokinetic (PBPK) models are established tools for understanding drug distribution and elimination.
PBPK models have been applied to intravenous ethanol administration to predict its concentration over time.

Purpose of the Study:

To examine the mathematical foundations of PBPK models for ethanol.
To derive explicit governing equations for PBPK ethanol models.
To provide a framework for refining parameter identification and control strategies.

Main Methods:

Derivation of a system of nonlinear ordinary differential equations governing ethanol distribution and elimination.
Analysis of the mathematical structure of PBPK models for ethanol.
Description of a framework for constructing and analyzing related PBPK models.

Main Results:

Explicit mathematical equations governing PBPK ethanol models were derived.
The derived equations facilitate the formulation of parameter identification and control strategies.
A generalizable framework for PBPK model development and analysis was established.

Conclusions:

The derived mathematical framework enhances the utility of PBPK models for ethanol research.
This work provides a foundation for advanced pharmacokinetic and pharmacodynamic investigations involving ethanol.
The established framework supports the refinement of strategies for controlling and analyzing ethanol pharmacokinetics.