Assessing Modes of Toxic Action of Organic Cations in <i>In Vitro</i> Cell-Based Bioassays: the Critical Role of Partitioning to Cells and Medium Components

High-throughput cell-based bioassays can fulfill the growing need to assess the hazards and modes of toxic action (MOA) of ionic liquids (ILs). Although nominal concentrations (<i>C</i><sub>nom</sub>) are typically used in an <i>in vitro</i> bioassay, freely dissolved concentrations (<i>C</i><sub>free</sub>) are considered a more accurate dose metric because they account for chemical partitioning processes and are informative about MOA. We determined the <i>C</i><sub>free</sub> of IL cations in AREc32 and AhR-CALUX assays using both mass balance model (MBM) prediction and experimental quantification. Partition coefficients between membrane lipid-water (<i>K</i><sub>mw</sub>), serum albumin-water (<i>K</i><sub>albumin/w</sub>), and cell-water (<i>K</i><sub>cell/w</sub>) as well as potential confounding factors (binding to a test plate and micelle formation) were determined to improve the MBM prediction. IL cations showed a higher affinity for both cell lines than that predicted by the MBM based on <i>K</i><sub>mw</sub> and <i>K</i><sub>albumin/w</sub>. Their affinity for the AhR-CALUX cells was more than 1 order of magnitude higher than for the AREc32, signifying cell line-specific affinity. The MBM with an experimental <i>K</i><sub>cell/w</sub> accurately predicted <i>C</i><sub>free</sub>. Evaluating cytotoxicity based on <i>C</i><sub>free</sub> eliminated the leveling off of toxicity observed for hydrophobic IL cations (side chain cutoff), suggesting that <i>C</i><sub>nom</sub> underestimates the effects of compounds with high affinity for the assay medium. Cell membrane concentrations calculated from <i>C</i><sub>free</sub> using <i>K</i><sub>mw</sub> were compared to the critical membrane burden to identify whether IL cations act as baseline toxicants. The IL cations carrying 16 carbons in the chain in the AREc32 assay and most of the IL cations in the AhR-CALUX assay were classified as excess toxicants. However, since the reasons for the deviation of experimental <i>K</i><sub>cell/w</sub> from MBM prediction remain unexplained, it is uncertain whether the cell membrane concentrations can be well predicted from <i>K</i><sub>mw</sub> used in this study. Therefore, future studies should aim to uncover the underlying causes of differing cell affinities observed across cell lines and model predictions.

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Journal
Chemical Research in Toxicology
Published
2025-03-04
DOI
https://doi.org/10.1021/acs.chemrestox.4c00527
Citations
2
Primary Topic
Effects and risks of endocrine disrupting chemicals
Type
article
Field-Weighted Citation Impact
2.40

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article

Assessing Modes of Toxic Action of Organic Cations in In Vitro Cell-Based Bioassays: the Critical Role of Partitioning to Cells and Medium Components

Beate Isabella Escher, Stephan Beil, Stefan Stolte, Marta Markiewicz et al.
2 citations
Chemical Research in Toxicology
Effects and risks of endocrine disrupting chemicals
2.40
article

Assessing Modes of Toxic Action of Organic Cations in In Vitro Cell-Based Bioassays: the Critical Role of Partitioning to Cells and Medium Components

Beate Isabella Escher, Stephan Beil, Stefan Stolte, Marta Markiewicz, Maria König, Eun-Kyung Bae
article en
2 citations

Abstract

High-throughput cell-based bioassays can fulfill the growing need to assess the hazards and modes of toxic action (MOA) of ionic liquids (ILs). Although nominal concentrations (<i>C</i><sub>nom</sub>) are typically used in an <i>in vitro</i> bioassay, freely dissolved concentrations (<i>C</i><sub>free</sub>) are considered a more accurate dose metric because they account for chemical partitioning processes and are informative about MOA. We determined the <i>C</i><sub>free</sub> of IL cations in AREc32 and AhR-CALUX assays using both mass balance model (MBM) prediction and experimental quantification. Partition coefficients between membrane lipid-water (<i>K</i><sub>mw</sub>), serum albumin-water (<i>K</i><sub>albumin/w</sub>), and cell-water (<i>K</i><sub>cell/w</sub>) as well as potential confounding factors (binding to a test plate and micelle formation) were determined to improve the MBM prediction. IL cations showed a higher affinity for both cell lines than that predicted by the MBM based on <i>K</i><sub>mw</sub> and <i>K</i><sub>albumin/w</sub>. Their affinity for the AhR-CALUX cells was more than 1 order of magnitude higher than for the AREc32, signifying cell line-specific affinity. The MBM with an experimental <i>K</i><sub>cell/w</sub> accurately predicted <i>C</i><sub>free</sub>. Evaluating cytotoxicity based on <i>C</i><sub>free</sub> eliminated the leveling off of toxicity observed for hydrophobic IL cations (side chain cutoff), suggesting that <i>C</i><sub>nom</sub> underestimates the effects of compounds with high affinity for the assay medium. Cell membrane concentrations calculated from <i>C</i><sub>free</sub> using <i>K</i><sub>mw</sub> were compared to the critical membrane burden to identify whether IL cations act as baseline toxicants. The IL cations carrying 16 carbons in the chain in the AREc32 assay and most of the IL cations in the AhR-CALUX assay were classified as excess toxicants. However, since the reasons for the deviation of experimental <i>K</i><sub>cell/w</sub> from MBM prediction remain unexplained, it is uncertain whether the cell membrane concentrations can be well predicted from <i>K</i><sub>mw</sub> used in this study. Therefore, future studies should aim to uncover the underlying causes of differing cell affinities observed across cell lines and model predictions.

Chemical Research in ToxicologyVol. 38(3)
Helmholtz Centre for Environmental Research (DE), Centre de Géosciences (FR), Technische Universität Dresden (DE), University of Tübingen (DE)
Sächsisches Staatsministerium für Wissenschaft und Kunst, Kurt-Eberhard-Bode-Stiftung für Medizinische und Naturwissenschaftliche Forschung, Helmholtz Association
Zero hunger
Openalex Percentile: Top 14%
Effects and risks of endocrine disrupting chemicals
2.40
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