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Inter-individual variation in chlorpyrifos toxicokinetics characterized by physiologically based kinetic (PBK) and Monte Carlo simulation comparing human liver microsome and Supersome(™) cytochromes P450 (CYP)-specific kinetic data as model input

The present study compares two approaches to evaluate the effects of inter-individual differences in the biotransformation of chlorpyrifos (CPF) on the sensitivity towards in vivo red blood cell (RBC) acetylcholinesterase (AChE) inhibition and to calculate a chemical-specific adjustment factor (CSAF...

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Autores principales: Zhao, Shensheng, Wesseling, Sebastiaan, Rietjens, Ivonne. M. C. M., Strikwold, Marije
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9013686/
https://www.ncbi.nlm.nih.gov/pubmed/35294598
http://dx.doi.org/10.1007/s00204-022-03251-z
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author Zhao, Shensheng
Wesseling, Sebastiaan
Rietjens, Ivonne. M. C. M.
Strikwold, Marije
author_facet Zhao, Shensheng
Wesseling, Sebastiaan
Rietjens, Ivonne. M. C. M.
Strikwold, Marije
author_sort Zhao, Shensheng
collection PubMed
description The present study compares two approaches to evaluate the effects of inter-individual differences in the biotransformation of chlorpyrifos (CPF) on the sensitivity towards in vivo red blood cell (RBC) acetylcholinesterase (AChE) inhibition and to calculate a chemical-specific adjustment factor (CSAF) to account for inter-individual differences in kinetics (HK(AF)). These approaches included use of a Supersome(™) cytochromes P450 (CYP)-based and a human liver microsome (HLM)-based physiologically based kinetic (PBK) model, both combined with Monte Carlo simulations. The results revealed that bioactivation of CPF exhibits biphasic kinetics caused by distinct differences in the Km of CYPs involved, which was elucidated by Supersome(™) CYP rather than by HLM. Use of Supersome(™) CYP-derived kinetic data was influenced by the accuracy of the intersystem extrapolation factors (ISEFs) required to scale CYP isoform activity of Supersome(™) to HLMs. The predicted dose–response curves for average, 99th percentile and 1st percentile sensitive individuals were found to be similar in the two approaches when biphasic kinetics was included in the HLM-based approach, resulting in similar benchmark dose lower confidence limits for 10% inhibition (BMDL(10)) and HK(AF) values. The variation in metabolism-related kinetic parameters resulted in HK(AF) values at the 99th percentile that were slightly higher than the default uncertainty factor of 3.16. While HK(AF) values up to 6.9 were obtained when including also the variability in other influential PBK model parameters. It is concluded that the Supersome(™) CYP-based approach appeared most adequate for identifying inter-individual variation in biotransformation of CPF and its resulting RBC AChE inhibition. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00204-022-03251-z.
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spelling pubmed-90136862022-05-02 Inter-individual variation in chlorpyrifos toxicokinetics characterized by physiologically based kinetic (PBK) and Monte Carlo simulation comparing human liver microsome and Supersome(™) cytochromes P450 (CYP)-specific kinetic data as model input Zhao, Shensheng Wesseling, Sebastiaan Rietjens, Ivonne. M. C. M. Strikwold, Marije Arch Toxicol Toxicokinetics and Metabolism The present study compares two approaches to evaluate the effects of inter-individual differences in the biotransformation of chlorpyrifos (CPF) on the sensitivity towards in vivo red blood cell (RBC) acetylcholinesterase (AChE) inhibition and to calculate a chemical-specific adjustment factor (CSAF) to account for inter-individual differences in kinetics (HK(AF)). These approaches included use of a Supersome(™) cytochromes P450 (CYP)-based and a human liver microsome (HLM)-based physiologically based kinetic (PBK) model, both combined with Monte Carlo simulations. The results revealed that bioactivation of CPF exhibits biphasic kinetics caused by distinct differences in the Km of CYPs involved, which was elucidated by Supersome(™) CYP rather than by HLM. Use of Supersome(™) CYP-derived kinetic data was influenced by the accuracy of the intersystem extrapolation factors (ISEFs) required to scale CYP isoform activity of Supersome(™) to HLMs. The predicted dose–response curves for average, 99th percentile and 1st percentile sensitive individuals were found to be similar in the two approaches when biphasic kinetics was included in the HLM-based approach, resulting in similar benchmark dose lower confidence limits for 10% inhibition (BMDL(10)) and HK(AF) values. The variation in metabolism-related kinetic parameters resulted in HK(AF) values at the 99th percentile that were slightly higher than the default uncertainty factor of 3.16. While HK(AF) values up to 6.9 were obtained when including also the variability in other influential PBK model parameters. It is concluded that the Supersome(™) CYP-based approach appeared most adequate for identifying inter-individual variation in biotransformation of CPF and its resulting RBC AChE inhibition. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00204-022-03251-z. Springer Berlin Heidelberg 2022-03-16 2022 /pmc/articles/PMC9013686/ /pubmed/35294598 http://dx.doi.org/10.1007/s00204-022-03251-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Toxicokinetics and Metabolism
Zhao, Shensheng
Wesseling, Sebastiaan
Rietjens, Ivonne. M. C. M.
Strikwold, Marije
Inter-individual variation in chlorpyrifos toxicokinetics characterized by physiologically based kinetic (PBK) and Monte Carlo simulation comparing human liver microsome and Supersome(™) cytochromes P450 (CYP)-specific kinetic data as model input
title Inter-individual variation in chlorpyrifos toxicokinetics characterized by physiologically based kinetic (PBK) and Monte Carlo simulation comparing human liver microsome and Supersome(™) cytochromes P450 (CYP)-specific kinetic data as model input
title_full Inter-individual variation in chlorpyrifos toxicokinetics characterized by physiologically based kinetic (PBK) and Monte Carlo simulation comparing human liver microsome and Supersome(™) cytochromes P450 (CYP)-specific kinetic data as model input
title_fullStr Inter-individual variation in chlorpyrifos toxicokinetics characterized by physiologically based kinetic (PBK) and Monte Carlo simulation comparing human liver microsome and Supersome(™) cytochromes P450 (CYP)-specific kinetic data as model input
title_full_unstemmed Inter-individual variation in chlorpyrifos toxicokinetics characterized by physiologically based kinetic (PBK) and Monte Carlo simulation comparing human liver microsome and Supersome(™) cytochromes P450 (CYP)-specific kinetic data as model input
title_short Inter-individual variation in chlorpyrifos toxicokinetics characterized by physiologically based kinetic (PBK) and Monte Carlo simulation comparing human liver microsome and Supersome(™) cytochromes P450 (CYP)-specific kinetic data as model input
title_sort inter-individual variation in chlorpyrifos toxicokinetics characterized by physiologically based kinetic (pbk) and monte carlo simulation comparing human liver microsome and supersome(™) cytochromes p450 (cyp)-specific kinetic data as model input
topic Toxicokinetics and Metabolism
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9013686/
https://www.ncbi.nlm.nih.gov/pubmed/35294598
http://dx.doi.org/10.1007/s00204-022-03251-z
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