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Archives of Toxicology
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Archives of Toxicology
Article
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https://dx.doi.org/10.17169/re...
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Prediction of the dose range for adverse neurological effects of amiodarone in patients from an in vitro toxicity test by in vitro–in vivo extrapolation

Authors: Engi Abd el-Hady Algharably; Emma Di Consiglio; Emanuela Testai; Reinhold Kreutz; Ursula Gundert-Remy;

Prediction of the dose range for adverse neurological effects of amiodarone in patients from an in vitro toxicity test by in vitro–in vivo extrapolation

Abstract

AbstractAmiodarone is an antiarrhythmic agent inducing adverse effects on the nervous system, among others. We applied physiologically based pharmacokinetic (PBPK) modeling combined with benchmark dose modeling to predict, based on published in vitro data, the in vivo dose of amiodarone which may lead to adverse neurological effects in patients. We performed in vitro–in vivo extrapolation (IVIVE) from concentrations measured in the cell lysate of a rat brain 3D cell model using a validated human PBPK model. Among the observed in vitro effects, inhibition of choline acetyl transferase (ChAT) was selected as a marker for neurotoxicity. By reverse dosimetry, we transformed the in vitro concentration–effect relationship into in vivo effective human doses, using the calculated in vitro area under the curve (AUC) of amiodarone as the pharmacokinetic metric. The upper benchmark dose (BMDU) was calculated and compared with clinical doses eliciting neurological adverse effects in patients. The AUCs in the in vitro brain cell culture after 14-day repeated dosing of nominal concentration equal to 1.25 and 2.5 µM amiodarone were 1.00 and 1.99 µg*h/mL, respectively. The BMDU was 385.4 mg for intravenous converted to 593 mg for oral application using the bioavailability factor of 0.65 as reported in the literature. The predicted dose compares well with neurotoxic doses in patients supporting the hypothesis that impaired ChAT activity may be related to the molecular/cellular mechanisms of amiodarone neurotoxicity. Our study shows that predicting effects from in vitro data together with IVIVE can be used at the initial stage for the evaluation of potential adverse drug reactions and safety assessment in humans.

Country
Germany
Keywords

Amiodarone, Biological Availability, In Vitro Techniques, Models, Biological, Organ Toxicity and Mechanisms, Dose–response modeling, Toxicity Tests, Neurotoxicity, Animals, Humans, Tissue Distribution, Dose-Response Relationship, Drug, Physiologically based pharmacokinetic modeling, Reverse dosimetry, In silico, Brain, Rats, Neurotoxicity ; Neurotoxicity Syndromes/physiopathology [MeSH] ; Area Under Curve [MeSH] ; Neurotoxicity Syndromes/etiology [MeSH] ; Dose–response modeling ; Models, Biological [MeSH] ; In Vitro Techniques [MeSH] ; Anti-Arrhythmia Agents/pharmacokinetics [MeSH] ; In silico ; Toxicity Tests [MeSH] ; Tissue Distribution [MeSH] ; Amiodarone/pharmacokinetics [MeSH] ; Dose-Response Relationship, Drug [MeSH] ; Brain/drug effects [MeSH] ; Anti-Arrhythmia Agents/administration ; Humans [MeSH] ; Rats [MeSH] ; Amiodarone/administration ; Organ Toxicity and Mechanisms ; Animals [MeSH] ; Physiologically based pharmacokinetic modeling ; Amiodarone/toxicity [MeSH] ; Brain/metabolism [MeSH] ; Reverse dosimetry ; Biological Availability [MeSH] ; Anti-Arrhythmia Agents/toxicity [MeSH] ; Animal alternative, Area Under Curve, Neurotoxicity Syndromes, Anti-Arrhythmia Agents, Animal alternative, 600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
Green
hybrid