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Tissue average binding and equilibrium distribution: an example with heparin in arterial tissues
1Harvard University-Massachusetts Institute of Technology, Division of Health Sciences and Technology, Cambridge 02139, USA. lovich@mit.edu.
Biophysical Journal
|March 1, 1996
Summary
This study introduces a new method to measure drug binding in arterial tissues, improving predictions for novel drug delivery systems. The technique quanties heparin binding site density and distribution, crucial for understanding drug deposition.
Area of Science:
- Pharmacology
- Biomedical Engineering
- Drug Delivery
Background:
- Classical pharmacokinetic models fail to predict drug distribution with novel delivery systems due to insufficient detail on tissue binding.
- Accurate characterization of drug-tissue interactions is essential for optimizing drug delivery and therapeutic outcomes.
Purpose of the Study:
- To develop and validate a novel method for quantifying drug binding characteristics within arterial tissues.
- To measure heparin binding site density, dissociation constant, and fractional volume of distribution in porcine carotid arteries.
Main Methods:
- Tissue samples were incubated with varying concentrations of heparin to reach equilibrium.
- An equilibrium distribution curve was generated by plotting tissue-bound drug concentration against bulk phase concentration.
- Computational fitting of the curve to a tissue distribution model determined binding parameters.
Main Results:
- Heparin binding site density was measured as 4.2 µM (intact media), 2.5 µM (denuded media), and 2.2 nM (adventitia).
- Dissociation constants were 6.8 µM (intact media), 5.0 µM (denuded media), and 8.1 nM (adventitia).
- Fractional volumes of distribution were 0.61 (intact media), 0.70 (denuded media), and 0.87 (adventitia).
Conclusions:
- The developed technique accurately quantifies cumulative drug binding to all potential sites within tissues.
- These measurements provide essential parameters for detailed pharmacokinetic modeling of drug distribution.
- This method is vital for advancing the understanding and design of novel drug delivery systems.