1. Pharmacokinetics and Quantitative Structure–Pharmacokinetics Relationship Study of Xanthine Derivatives with Antidepressant, Anti-Inflammatory, and Analgesic Activity in Rats
- Author
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Artur Świerczek, Małgorzata Szafarz, Agnieszka Cios, Jan Kobierski, Krzysztof Pociecha, Daniel Attard Saliba, Grażyna Chłoń-Rzepa, and Elżbieta Wyska
- Subjects
quantitative structure–pharmacokinetics relationship ,multivariate data analysis ,regression analysis ,methylxanthines ,7- and 7,8-substituted theophylline derivatives ,Pharmacy and materia medica ,RS1-441 - Abstract
Objective: The aim of this study was to develop quantitative structure–pharmacokinetics relationship (QSPKR) models for a group of xanthine derivatives with proven pharmacological activity and to investigate its applicability for the prediction of the pharmacokinetics of these compounds. Methods: The SYBYL-X, KowWin, and MarvinSketch programs were employed to generate a total of fourteen descriptor variables for a series of new compounds: 7- and 7,8-substituted theophylline derivatives (GR-1–GR-8) and three well-known methylxanthines. Pharmacokinetic profiles of all compounds were determined after intravenous administration of studied compounds to cannulated male rats. Pharmacokinetic parameters were calculated using noncompartmental analysis. Results: Multiple linear regression revealed that logD was the main determinant of the variability in Vss, λz, and CL of the studied compounds. Moreover, λz and CL depended on LUMO and HEFO, while for Vz COAR was the only explanatory variable. The developed QSPKR models accounted for most of the variation in Vss, λz, CL, and fraction unbound (fu) (R2 ranged from 0.68 to 0.91). Cross-validation confirmed the predictive ability of the models (Q2 = 0.60, 0.71, 0.34, and 0.32 for Vss, λz, CL, and fu, respectively). Conclusions: The multivariate QSPKR models developed in this study adequately predicted the overall pharmacokinetic behavior of xanthine derivatives in rats.
- Published
- 2024
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