Literature DB >> 26952143

Evaluation of Interindividual Human Variation in Bioactivation and DNA Adduct Formation of Estragole in Liver Predicted by Physiologically Based Kinetic/Dynamic and Monte Carlo Modeling.

Ans Punt1, Alicia Paini1,2, Albertus Spenkelink1, Gabriele Scholz2, Benoit Schilter2, Peter J van Bladeren1,3, Ivonne M C M Rietjens1.   

Abstract

Estragole is a known hepatocarcinogen in rodents at high doses following metabolic conversion to the DNA-reactive metabolite 1'-sulfooxyestragole. The aim of the present study was to model possible levels of DNA adduct formation in (individual) humans upon exposure to estragole. This was done by extending a previously defined PBK model for estragole in humans to include (i) new data on interindividual variation in the kinetics for the major PBK model parameters influencing the formation of 1'-sulfooxyestragole, (ii) an equation describing the relationship between 1'-sulfooxyestragole and DNA adduct formation, (iii) Monte Carlo modeling to simulate interindividual human variation in DNA adduct formation in the population, and (iv) a comparison of the predictions made to human data on DNA adduct formation for the related alkenylbenzene methyleugenol. Adequate model predictions could be made, with the predicted DNA adduct levels at the estimated daily intake of estragole of 0.01 mg/kg bw ranging between 1.6 and 8.8 adducts in 10(8) nucleotides (nts) (50th and 99th percentiles, respectively). This is somewhat lower than values reported in the literature for the related alkenylbenzene methyleugenol in surgical human liver samples. The predicted levels seem to be below DNA adduct levels that are linked with tumor formation by alkenylbenzenes in rodents, which were estimated to amount to 188-500 adducts per 10(8) nts at the BMD10 values of estragole and methyleugenol. Although this does not seem to point to a significant health concern for human dietary exposure, drawing firm conclusions may have to await further validation of the model's predictions.

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Year:  2016        PMID: 26952143     DOI: 10.1021/acs.chemrestox.5b00493

Source DB:  PubMed          Journal:  Chem Res Toxicol        ISSN: 0893-228X            Impact factor:   3.739


  8 in total

1.  Study on inter-ethnic human differences in bioactivation and detoxification of estragole using physiologically based kinetic modeling.

Authors:  Jia Ning; Jochem Louisse; Bert Spenkelink; Sebastiaan Wesseling; Ivonne M C M Rietjens
Journal:  Arch Toxicol       Date:  2017-03-29       Impact factor: 5.153

2.  From in vitro to in vivo: Integration of the virtual cell based assay with physiologically based kinetic modelling.

Authors:  Alicia Paini; Jose Vicente Sala Benito; Jos Bessems; Andrew P Worth
Journal:  Toxicol In Vitro       Date:  2017-06-27       Impact factor: 3.500

3.  Use of Physiologically Based Kinetic Modeling to Predict Rat Gut Microbial Metabolism of the Isoflavone Daidzein to S-Equol and Its Consequences for ERα Activation.

Authors:  Qianrui Wang; Bert Spenkelink; Rungnapa Boonpawa; Ivonne M C M Rietjens; Karsten Beekmann
Journal:  Mol Nutr Food Res       Date:  2020-02-25       Impact factor: 5.914

4.  Defining in vivo dose-response curves for kidney DNA adduct formation of aristolochic acid I in rat, mouse and human by an in vitro and physiologically based kinetic modeling approach.

Authors:  Rozaini Abdullah; Sebastiaan Wesseling; Bert Spenkelink; Jochem Louisse; Ans Punt; Ivonne M C M Rietjens
Journal:  J Appl Toxicol       Date:  2020-07-07       Impact factor: 3.446

5.  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

6.  Investigating the state of physiologically based kinetic modelling practices and challenges associated with gaining regulatory acceptance of model applications.

Authors:  Alicia Paini; Jeremy A Leonard; Tomas Kliment; Yu-Mei Tan; Andrew Worth
Journal:  Regul Toxicol Pharmacol       Date:  2017-09-01       Impact factor: 3.271

7.  Ab initio chemical safety assessment: A workflow based on exposure considerations and non-animal methods.

Authors:  Elisabet Berggren; Andrew White; Gladys Ouedraogo; Alicia Paini; Andrea-Nicole Richarz; Frederic Y Bois; Thomas Exner; Sofia Leite; Leo A van Grunsven; Andrew Worth; Catherine Mahony
Journal:  Comput Toxicol       Date:  2017-11

8.  The margin of internal exposure (MOIE) concept for dermal risk assessment based on oral toxicity data - A case study with caffeine.

Authors:  Jos G M Bessems; Alicia Paini; Monika Gajewska; Andrew Worth
Journal:  Toxicology       Date:  2017-03-10       Impact factor: 4.221

  8 in total

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