Extended Pharmacokinetic Model of the Rabbit Eye for Intravitreal and Intracameral Injections of Macromolecules: Quantitative Analysis of Anterior and Posterior Elimination Pathways
Purpose To extend the physiological features of the anatomically accurate model of the rabbit eye for intravitreal (IVT) and intracameral (IC) injections of macromolecules. Methods The computational fluid dynamic model of the rabbit eye by Missel (2012) was extended by enhancing the mixing in the an...
Gespeichert in:
Veröffentlicht in: | Pharmaceutical research 2018-08, Vol.35 (8), p.153-14, Article 153 |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Purpose
To extend the physiological features of the anatomically accurate model of the rabbit eye for intravitreal (IVT) and intracameral (IC) injections of macromolecules.
Methods
The computational fluid dynamic model of the rabbit eye by Missel (2012) was extended by enhancing the mixing in the anterior chamber with thermal gradient, heat transfer and gravity, and studying its effect on IC injections of hyaluronic acids. In IVT injections of FITC-dextrans (MW 10–157 kDa) the diffusion though retina was defined based on published
in vitro
data. Systematic changes in retinal permeability and convective transport were made, and the percentages of anterior and posterior elimination pathways were quantified. Simulations were compared with published
in vivo
data.
Results
With the enhanced mixing the elimination half-lives of hyaluronic acids after IC injection were 62–100 min that are similar to
in vivo
data and close to the theoretical value for the well-stirred anterior chamber (57 min). In IVT injections of FITC-dextrans a good match between simulations and
in vivo
data was obtained when the percentage of anterior elimination pathway was over 80%.
Conclusions
The simulations with the extended model closely resemble
in vivo
pharmacokinetics, and the model is a valuable tool for data interpretation and predictions. |
---|---|
ISSN: | 0724-8741 1573-904X |
DOI: | 10.1007/s11095-018-2435-0 |