In Vitro Hepatic Metabolism Input Parameters Support Toxicokinetic Simulations for the Formation of Methoxy Propionic Acid From β-Isomer Propylene Glycol Methyl Ether.
Details
Serval ID
serval:BIB_09D3CBDA4248
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
In Vitro Hepatic Metabolism Input Parameters Support Toxicokinetic Simulations for the Formation of Methoxy Propionic Acid From β-Isomer Propylene Glycol Methyl Ether.
Journal
Pharmacology research & perspectives
ISSN
2052-1707 (Electronic)
ISSN-L
2052-1707
Publication state
Published
Issued date
12/2024
Peer-reviewed
Oui
Volume
12
Number
6
Pages
e70037
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Publication Status: ppublish
Abstract
Propylene glycol ethers (PGEs) are organic solvents commonly found as technical grade on the commercial market, as mixtures of secondary (α-isomer) and primary (β-isomer, generally < 5%) alcohols. After handling products containing PGEs, they readily enter the human body where they are metabolized. The minor β-isomer is oxidized by alcohol dehydrogenase (ADH) followed by aldehyde dehydrogenase (ALDH) to a potentially harmful metabolite. Although the enzymatic rate is needed to estimate both parent and metabolite internal exposures, kinetic data for many PGEs are still scarce. Therefore, we generated in vitro hepatic intrinsic clearance data for propylene glycol methyl ether β-isomer (β-PGME) and its metabolite methoxy propionic acid (2-MPA) and integrated these data into an in silico toxicokinetic (TK) model. Hepatic clearance values for the model were generated using an established in vitro 3D culture of the human HepaRG cell line and human S9 liver fraction. Our results showed the presence of ADH and ALDH and consequently, the formation of 2-MPA in the 3D HepaRG and S9 fraction, which was slow to medium. We integrated the hepatic clearance values into the TK model to predict urinary 2-MPA concentrations. The simulated urinary 2-MPA concentrations fitted well (within twofold error from observed experimental data) for both liver systems, showing that they were both able to reliably predict the hepatic clearance of β-PGME. Although S9 is suitable for short-term studies, 3D cell culture models maintain metabolic competence over days and weeks. This opens the opportunity for long-term metabolism studies applying the 3D HepaRG model alone or in multi-organ systems.
Keywords
Humans, Propionates/chemistry, Propionates/metabolism, Liver/metabolism, Liver/drug effects, Toxicokinetics, Computer Simulation, Models, Biological, Alcohol Dehydrogenase/metabolism, Cell Line, Aldehyde Dehydrogenase/metabolism, Propylene Glycol/chemistry, Isomerism, Hepatocytes/metabolism, Hepatocytes/drug effects
Pubmed
Web of science
Open Access
Yes
Create date
13/12/2024 13:34
Last modification date
21/12/2024 7:09