An Algorithm for Evaluating Potential Tissue Drug Distribution in Toxicology Studies from Readily Available Pharmacokinetic Parameters
Having an understanding of drug tissue accumulation can be informative in the assessment of target organ toxicities; however, obtaining tissue drug levels from toxicology studies by bioanalytical methods is labor-intensive and infrequently performed. Additionally, there are no described methods for...
Gespeichert in:
Veröffentlicht in: | Journal of pharmaceutical sciences 2013-10, Vol.102 (10), p.3816-3829 |
---|---|
Hauptverfasser: | , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Having an understanding of drug tissue accumulation can be informative in the assessment of target organ toxicities; however, obtaining tissue drug levels from toxicology studies by bioanalytical methods is labor-intensive and infrequently performed. Additionally, there are no described methods for predicting tissue drug distribution for the experimental conditions in toxicology studies, which typically include non-steady-state conditions and very high exposures that may saturate several processes. The aim was the development of an algorithm to provide semiquantitative and quantitative estimates of tissue-to-plasma concentration ratios (Kp) for several tissues from readily available parameters of pharmacokinetics (PK) such as volume of distribution (Vd) and clearance of each drug, without performing tissue measurement in vivo. The computational approach is specific for the oral route of administration and non-steady-state conditions and was applied for a dataset of 29 Genentech small molecules such as neutral compounds as well as weak and strong organic bases. The maximum success rate in predicting Kp values within 2.5-fold error of observed Kp values was 82% at low doses ( |
---|---|
ISSN: | 0022-3549 1520-6017 |
DOI: | 10.1002/jps.23670 |