In vitro hepatic metabolism input parameters support toxicokinetic simulations for the formation of methoxy propionic acid from β‐Isomer propylene glycol methyl ether

dc.contributor.authorWerner, Sophie
dc.contributor.authorHegg, Lucie
dc.contributor.authorHopf, Nancy B.
dc.contributor.authorBorgatta, Myriam
dc.contributor.authorSuter-Dick, Laura
dc.date.accessioned2025-06-23T09:22:47Z
dc.date.issued2024-12
dc.description.abstractPropylene 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.
dc.identifier.doi10.1002/prp2.70037
dc.identifier.issn2052-1707
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/51753
dc.identifier.urihttps://doi.org/10.26041/fhnw-12908
dc.issue6
dc.language.isoen
dc.publisherWiley
dc.relation.ispartofPharmacology Research & Perspectives
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subject.ddc600 - Technik, Medizin, angewandte Wissenschaften
dc.titleIn vitro hepatic metabolism input parameters support toxicokinetic simulations for the formation of methoxy propionic acid from β‐Isomer propylene glycol methyl ether
dc.type01A - Beitrag in wissenschaftlicher Zeitschrift
dc.volume12
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.ReviewTypeAnonymous ex ante peer review of a complete publication
fhnw.affiliation.hochschuleHochschule für Life Sciences FHNWde_CH
fhnw.affiliation.institutInstitut für Chemie und Bioanalytikde_CH
fhnw.openAccessCategoryGold
fhnw.paginatione70037
fhnw.publicationStatePublished
fhnw.strategicActionFieldFuture Health
relation.isAuthorOfPublication37292405-e311-4093-a2e7-9a72a2511114
relation.isAuthorOfPublication.latestForDiscovery37292405-e311-4093-a2e7-9a72a2511114
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