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Physicochemical model for dose-dependent drug absorption.

J B Dressman, D Fleisher, G L Amidon

    Journal of Pharmaceutical Sciences
    |September 1, 1984
    PubMed
    Summary
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    This study developed a two-tank model to simulate gastrointestinal drug absorption. The model suggests drug properties and intestinal conditions influence absorption, with physical characteristics potentially explaining dose-dependent absorption for chlorothiazide.

    Area of Science:

    • Pharmacokinetics
    • Computational Modeling
    • Drug Absorption

    Background:

    • Gastrointestinal (GI) drug absorption is complex, influenced by drug properties and physiological conditions.
    • Understanding dose-dependent absorption is crucial for optimizing drug efficacy and safety.

    Purpose of the Study:

    • To develop and validate a two-tank perfect-mixing model for simulating GI drug absorption.
    • To investigate the impact of drug and system parameters on drug absorption.
    • To elucidate the mechanisms underlying dose-dependent absorption, using chlorothiazide and hydrochlorothiazide as case studies.

    Main Methods:

    • A two-tank perfect-mixing model was employed for numerical simulation of GI absorption.
    • The model incorporated drug parameters (pKα, solubility, intrinsic wall permeability) and system parameters (pH profile, intestinal volume, flow rate).

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  • Simulations were performed for chlorothiazide and hydrochlorothiazide, comparing model predictions with experimental data.

    • Main Results:

    • Fraction absorbed was independent of dose when drug solubility was not exceeded, depending on transit/absorption rates and pKα/pH.
    • Dose-dependent absorption occurred when one or both model tanks became saturated.
    • Model simulations accurately predicted dose-dependent absorption for chlorothiazide and dose proportionality for hydrochlorothiazide.

    Conclusions:

    • The physical characteristics of chlorothiazide, not saturable intestinal transport, may explain its dose-dependent absorption.
    • Higher solubility and pKα of hydrochlorothiazide likely contribute to its dose-proportional absorption.
    • The developed model serves as a valuable tool for predicting drug absorption and understanding dose dependency.