Literature DB >> 30661089

Use of an in vitro-in silico testing strategy to predict inter-species and inter-ethnic human differences in liver toxicity of the pyrrolizidine alkaloids lasiocarpine and riddelliine.

Jia Ning1, Lu Chen2, Marije Strikwold3, Jochem Louisse2,4, Sebastiaan Wesseling2, Ivonne M C M Rietjens2.   

Abstract

Lasiocarpine and riddelliine are pyrrolizidine alkaloids (PAs) known to cause liver toxicity. The aim of this study was to predict the inter-species and inter-ethnic human differences in acute liver toxicity of lasiocarpine and riddelliine using physiologically based kinetic (PBK) modelling based reverse dosimetry of in vitro toxicity data. The concentration-response curves of in vitro cytotoxicity of lasiocarpine and riddelliine defined in pooled human hepatocytes were translated to in vivo dose-response curves by PBK models developed using kinetic data obtained from incubations with pooled tissue fractions from Chinese and Caucasian individuals, providing PBK models for the average Chinese and average Caucasian, respectively. From the predicted in vivo dose-response curves, the benchmark dose lower and upper confidence limits for 5% effect (BMDL5 and BMDU5) were derived and subsequently compared to those previously obtained in rat to evaluate inter-species differences. The inter-species differences amounted to 2.0-fold for lasiocarpine and 8.2-fold for riddelliine with humans being more sensitive than rats. The inter-ethnic human differences varied 2.0-fold for lasiocarpine and 5.0-fold for riddelliine with the average Caucasian being more sensitive than the average Chinese. In conclusion, the present study provides the proof-of-principle to predict inter-species and inter-ethnic differences in in vivo liver toxicity for PAs by an alternative testing strategy integrating in vitro cytotoxicity data with PBK modelling-based reverse dosimetry.

Entities:  

Keywords:  Inter-ethnic; Inter-species; Lasiocarpine; Physiologically based kinetic (PBK) model; Riddelliine

Mesh:

Substances:

Year:  2019        PMID: 30661089     DOI: 10.1007/s00204-019-02397-7

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


  11 in total

1.  Physiologically based kinetic modelling based prediction of in vivo rat and human acetylcholinesterase (AChE) inhibition upon exposure to diazinon.

Authors:  Shensheng Zhao; Sebastiaan Wesseling; Bert Spenkelink; Ivonne M C M Rietjens
Journal:  Arch Toxicol       Date:  2021-03-14       Impact factor: 5.153

2.  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

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.  The rapid development of computational toxicology.

Authors:  Hermann M Bolt; Jan G Hengstler
Journal:  Arch Toxicol       Date:  2020-05-07       Impact factor: 5.153

5.  Physiologically based kinetic modelling predicts the in vivo relative potency of riddelliine N-oxide compared to riddelliine in rat to be dose dependent.

Authors:  Frances Widjaja; Sebastiaan Wesseling; Ivonne M C M Rietjens
Journal:  Arch Toxicol       Date:  2021-10-20       Impact factor: 5.153

6.  Pyrrolizidine Alkaloid-Induced Hepatotoxicity Associated with the Formation of Reactive Metabolite-Derived Pyrrole-Protein Adducts.

Authors:  Jiang Ma; Mi Li; Na Li; Wood Yee Chan; Ge Lin
Journal:  Toxins (Basel)       Date:  2021-10-13       Impact factor: 4.546

Review 7.  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

8.  Use of Physiologically Based Kinetic Modeling-Facilitated Reverse Dosimetry to Predict In Vivo Acute Toxicity of Tetrodotoxin in Rodents.

Authors:  Annelies Noorlander; Mengying Zhang; Bennard van Ravenzwaay; Ivonne M C M Rietjens
Journal:  Toxicol Sci       Date:  2022-04-26       Impact factor: 4.109

9.  Monocrotaline-induced liver toxicity in rat predicted by a combined in vitro physiologically based kinetic modeling approach.

Authors:  Suparmi Suparmi; Sebastiaan Wesseling; Ivonne M C M Rietjens
Journal:  Arch Toxicol       Date:  2020-06-09       Impact factor: 5.153

10.  Novel testing strategy for prediction of rat biliary excretion of intravenously administered estradiol-17β glucuronide.

Authors:  Annelies Noorlander; Eric Fabian; Bennard van Ravenzwaay; Ivonne M C M Rietjens
Journal:  Arch Toxicol       Date:  2020-11-07       Impact factor: 5.153

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.