Literature DB >> 31511935

Integrating physiologically based kinetic (PBK) and Monte Carlo modelling to predict inter-individual and inter-ethnic variation in bioactivation and liver toxicity of lasiocarpine.

Jia Ning1, Ivonne M C M Rietjens2, Marije Strikwold3.   

Abstract

The aim of the present study was to predict the effect of inter-individual and inter-ethnic human kinetic variation on the sensitivity towards acute liver toxicity of lasiocarpine in the Chinese and the Caucasian population, and to derive chemical specific adjustment factors (CSAFs) by integrating variation in the in vitro kinetic constants Vmax and Km, physiologically based kinetic (PBK) modelling and Monte Carlo simulation. CSAFs were derived covering the 90th and 99th percentile of the population distribution of pyrrole glutathione adduct (7-GS-DHP) formation, reflecting bioactivation. The results revealed that in the Chinese population, as compared to the Caucasian population, the predicted 7-GS-DHP formation at the geometric mean, the 90th and the 99th percentile were 2.1-, 3.3- and 4.3-fold lower respectively. The CSAFs obtained using the 99th percentile values were 8.3, 17.0 and 19.5 in the Chinese, the Caucasian population and the two populations combined, respectively, while the CSAFs were generally 3.0-fold lower at the 90th percentile. These results indicate that when considering the formation of 7-GS-DHP the Caucasian population may be more sensitive towards acute liver toxicity of lasiocarpine, and further point out that the default safety factor of 3.16 for inter-individual human kinetic differences may not be sufficiently protective. Altogether, the results obtained demonstrate that integrating PBK modelling with Monte Carlo simulations using human in vitro data is a powerful strategy to quantify inter-individual variations in kinetics, and can be used to refine the human risk assessment of pyrrolizidine alkaloids.

Entities:  

Keywords:  Chemical specific adjustment factors; Inter-ethnic; Lasiocarpine; Monte Carlo simulations; Physiologically based kinetic (PBK) model; Pyrrole glutathione adduct

Year:  2019        PMID: 31511935     DOI: 10.1007/s00204-019-02563-x

Source DB:  PubMed          Journal:  Arch Toxicol        ISSN: 0340-5761            Impact factor:   5.153


  7 in total

1.  In vitro-in silico-based prediction of inter-individual and inter-ethnic variations in the dose-dependent cardiotoxicity of R- and S-methadone in humans.

Authors:  Miaoying Shi; Yumeng Dong; Hans Bouwmeester; Ivonne M C M Rietjens; Marije Strikwold
Journal:  Arch Toxicol       Date:  2022-05-23       Impact factor: 6.168

2.  Variability in Human In Vitro Enzyme Kinetics.

Authors:  Christopher R Gibson; Ying-Hong Wang; Ninad Varkhede; Bennett Ma
Journal:  Methods Mol Biol       Date:  2021

Review 3.  Metabolism-mediated cytotoxicity and genotoxicity of pyrrolizidine alkaloids.

Authors:  Yisheng He; Lin Zhu; Jiang Ma; Ge Lin
Journal:  Arch Toxicol       Date:  2021-05-18       Impact factor: 5.153

4.  Predicting the Acute Liver Toxicity of Aflatoxin B1 in Rats and Humans by an In Vitro-In Silico Testing Strategy.

Authors:  Ixchel Gilbert-Sandoval; Sebastiaan Wesseling; Ivonne M C M Rietjens
Journal:  Mol Nutr Food Res       Date:  2020-06-02       Impact factor: 5.914

Review 5.  Patient-Derived Xenografts as an Innovative Surrogate Tumor Model for the Investigation of Health Disparities in Triple Negative Breast Cancer.

Authors:  Margarite D Matossian; Alexandra A Giardina; Maryl K Wright; Steven Elliott; Michelle M Loch; Khoa Nguyen; Arnold H Zea; Frank H Lau; Krzysztof Moroz; Adam I Riker; Steven D Jones; Elizabeth C Martin; Bruce A Bunnell; Lucio Miele; Bridgette M Collins-Burow; Matthew E Burow
Journal:  Womens Health Rep (New Rochelle)       Date:  2020-09-24

Review 6.  The Role of Kinetics as Key Determinant in Toxicity of Pyrrolizidine Alkaloids and Their N-Oxides.

Authors:  Frances Widjaja; Yasser Alhejji; Ivonne M C M Rietjens
Journal:  Planta Med       Date:  2021-11-05       Impact factor: 3.352

7.  Population pharmacokinetic model to generate mechanistic insights in bile acid homeostasis and drug-induced cholestasis.

Authors:  Véronique M P de Bruijn; Ivonne M C M Rietjens; Hans Bouwmeester
Journal:  Arch Toxicol       Date:  2022-07-25       Impact factor: 6.168

  7 in total

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