Background And Purpose: Alvespimycin, a new generation of heat shock protein 90 (Hsp90) inhibitor in clinical trial, is a promising therapeutic agent for cancer. Pharmacokinetic models of alvespimycin would help in the understanding of drug disposition, predicting drug exposure and interpreting dose-response relationship. In the present study we aimed to develop a physiologically based pharmacokinetic (PBPK) model of alvespimycin in mice and evaluate the utility of the model for predicting alvespimycin disposition in other species.

Experimental Approach: A literature search was performed to collect pharmacokinetic data for alvespimycin. A PBPK model was initially constructed to demonstrate the disposition of alvespimycin in mice, and then extrapolated to rats and humans by taking into account the interspecies differences in physiological- and chemical-specific parameters.

Key Results: A PBPK model, employing a permeability-limited model structure and saturable tissue binding, was built in mice. It successfully characterized the time course of the disposition of alvespimycin in mice. After extrapolation to rats, the model simulated the alvespimycin concentration-time profiles in rat tissues with acceptable accuracies. Likewise, a reasonable match was found between the observed and simulated human plasma pharmacokinetics of alvespimycin.

Conclusions And Implications: The PBPK model described here is beneficial to the understanding and prediction of the effects of alvespimycin in different species. It also provides a good basis for further development, which necessitates additional studies, especially those needed to clarify the in-depth mechanism of alvespimycin elimination. A refined PBPK model would benefit the understanding of dose-response relationships and optimization of dosing regimens.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4243854PMC
http://dx.doi.org/10.1111/bph.12609DOI Listing

Publication Analysis

Top Keywords

pbpk model
20
alvespimycin mice
16
alvespimycin
11
model
9
physiologically based
8
based pharmacokinetic
8
model alvespimycin
8
mice extrapolation
8
extrapolation rats
8
rats humans
8

Similar Publications

Physiologically-based pharmacokinetic modeling to predict the exposure and provide dosage regimens of Tacrolimus in Pregnant Women with infection disease.

Eur J Pharm Sci

January 2025

Department of Pharmacy, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China; Department of Pharmacy, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China. Electronic address:

Tacrolimus is extensively used for the prevention of graft rejection following solid organ transplantation in pregnant women. However, knowledge gaps in the dosage of tacrolimus for pregnant patients with different CYP3A5 genotypes and infection conditions have been identified. This study aimed to develop a pregnant physiologically based pharmacokinetic (PBPK) model to characterize the maternal and fetal pharmacokinetics of tacrolimus during pregnancy and explore and provide dosage adjustments.

View Article and Find Full Text PDF

Digital twins, driven by data and mathematical modelling, have emerged as powerful tools for simulating complex biological systems. In this work, we focus on modelling the clearance on a liver-on-chip as a digital twin that closely mimics the clearance functionality of the human liver. Our approach involves the creation of a compartmental physiological model of the liver using ordinary differential equations (ODEs) to estimate pharmacokinetic (PK) parameters related to on-chip liver clearance.

View Article and Find Full Text PDF

Arsenic accumulation and reproductive toxicity in freshwater snail (Pomacea canaliculata).

Ecotoxicol Environ Saf

January 2025

Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory of Agricultural & Rural Pollution Abatement and Environmental Safety, College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China. Electronic address:

This study aimed to investigate the tissue-specific accumulation patterns of arsenic (As) and the potential toxicological effects of As on the oviposition of a globally distributed aquatic invertebrate, the apple snail (Pomacea canaliculata). An eight-compartment physiologically based pharmacokinetic (PBPK) model was utilized to simulate the distribution and depuration kinetics of arsenite and arsenate in the snails. Modeling and biotransformation suggested that intestine-stomach was the main uptake site for As and plays an important role in maintaining the balance of As species.

View Article and Find Full Text PDF

Rheumatoid arthritis (RA) is a major public health concern, which can cause serious outcomes. Low-dose methotrexate (MTX) is a cornerstone in RA treatment, but there is significant heterogeneity in clinical response. To evaluate underlying sources of pharmacokinetic variability and clinical response of MTX, a physiologically based pharmacokinetic and pharmacodynamic (PBPK/PD) model was developed using PK-sim and Mobi (version 11.

View Article and Find Full Text PDF

Do P-glycoprotein-mediated drug-drug interactions at the blood-brain barrier impact morphine brain distribution?

J Pharmacokinet Pharmacodyn

January 2025

Division of Systems Pharmacology and Pharmacy, Leiden Academic Center for Drug Research, Leiden University, Einsteinweg 55, Leiden, 2333 CC, The Netherlands.

P-glycoprotein (P-gp) is a key efflux transporter and may be involved in drug-drug interactions (DDIs) at the blood-brain barrier (BBB), which could lead to changes in central nervous system (CNS) drug exposure. Morphine is a P-gp substrate and therefore a potential victim drug for P-gp mediated DDIs. It is however unclear if P-gp inhibitors can induce clinically relevant changes in morphine CNS exposure.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!