Literature DB >> 23246603

A category approach to predicting the repeated-dose hepatotoxicity of allyl esters.

Takashi Yamada1, Yushiro Tanaka, Ryuichi Hasegawa, Yuki Sakuratani, Jun Yamada, Eiichi Kamata, Atsushi Ono, Akihiko Hirose, Yasushi Yamazoe, Ovanes Mekenyan, Makoto Hayashi.   

Abstract

We tested a category approach to predict the hepatotoxic effects of repeated doses of allyl esters using a new database for repeated-dose toxicity. Based on information on hepatotoxic mechanism of allyl acetate, the category was defined as allyl esters that are hydrolyzed to allyl alcohol. Allyl alcohol is readily oxidized to acrolein in the liver, causing hepatotoxicity. Seventeen marketed allyl esters were obtained and grouped into category by identifying or predicting allyl alcohol formation. Allyl esters with a saturated straight alkyl carboxylic acid moiety (allyl acetate, hexanoate and heptanoate as tested species, and allyl butyrate, pentanoate, octanoate, nonanoate and decanoate as untested species) are likely similar in rate of ester hydrolysis, thereby defining subcategory 1. NOAEL and LOAEL for the hepatotoxic effects were estimated at 0.12 and 0.25 mmol/kg/d for the untested species, based on those of allyl acetate. The remaining nine allyl esters with other alkyl or aromatic carboxylic acid moieties were placed in subcategory 2: their hepatotoxicity levels were not predictable due to an unclear match between their degree of structural complexity and rate of hydrolysis. Our results demonstrate the usefulness of the category approach for predicting the hepatotoxicity of untested allyl esters with saturated straight alkyl chains.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23246603     DOI: 10.1016/j.yrtph.2012.12.001

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  1 in total

1.  Innovative Strategies to Develop Chemical Categories Using a Combination of Structural and Toxicological Properties.

Authors:  Monika Batke; Martin Gütlein; Falko Partosch; Ursula Gundert-Remy; Christoph Helma; Stefan Kramer; Andreas Maunz; Madeleine Seeland; Annette Bitsch
Journal:  Front Pharmacol       Date:  2016-09-21       Impact factor: 5.810

  1 in total

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