Literature DB >> 31708075

Are all bacterial strains required by OECD mutagenicity test guideline TG471 needed?

Richard V Williams1, David M DeMarini2, Leon F Stankowski3, Patricia A Escobar4, Errol Zeiger5, Jonathan Howe6, Rosalie Elespuru7, Kevin P Cross8.   

Abstract

The International Workshop on Genotoxicity Testing (IWGT) meets every four years to seek consensus on difficult or conflicting approaches to genotoxicity testing based upon experience, available data, and analysis techniques. At the 2017 IWGT meeting in Tokyo, one working group addressed the sensitivity and selectivity of the bacterial strains specified in the Organization for Economic Cooperation and Development (OECD) Test Guideline TG471 to recommend possible modification of the test guideline. Three questions were posed: (1) Although TA100 is derived from TA1535, does TA1535 detect any mutagens that are not detected by TA100? (2) Among the options of Salmonella TA1537, TA97 or TA97a, are these strains truly equivalent? (3) Because there is a choice to use one of either E. coli WP2 uvrA, E. coli WP2 uvrA pKM101, or Salmonella TA102, are these strains truly equivalent? To answer these questions, we analyzed published bacterial mutation data in multiple strains from large (>10,000 compound) databases from Leadscope and Lhasa Limited and anonymized data for 53 compounds tested in TA1535 and TA100 provided by a pharmaceutical company. Our analysis involved (1) defining criteria for determining selective responses when using different strains; (2) identifying compounds producing selective responses based upon author calls; (3) confirming selective responses by visually examining dose-response data and considering experimental conditions; (4) using statistical methods to quantify the responses; (5) performing limited additional direct-comparison testing; and (6) determining the chemical classes producing selective responses. We found that few mutagens would fail to be detected if the test battery did not include Salmonella strains TA1535 (8/1167), TA1537 (2/247), TA102 (4/46), and E. coli WP2 uvrA (2/21). Of the mutagens detected by the full TG471 strain battery, 93% were detected using only strains TA98 and TA100; consideration of results from in vitro genotoxicity assays that detect clastogenicity increased this to 99%.
Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Ames assay; Bacterial mutagenicity; E. coli WP2; Salmonella

Year:  2019        PMID: 31708075     DOI: 10.1016/j.mrgentox.2019.503081

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  5 in total

1.  Integrating publicly available information to screen potential candidates for chemical prioritization under the Toxic Substances Control Act: A proof of concept case study using genotoxicity and carcinogenicity.

Authors:  Grace Patlewicz; Jeffry L Dean; Catherine F Gibbons; Richard S Judson; Nagalakshmi Keshava; Leora Vegosen; Todd M Martin; Prachi Pradeep; Anita Simha; Sarah H Warren; Maureen R Gwinn; David M DeMarini
Journal:  Comput Toxicol       Date:  2021-11-01

2.  Evaluation of Existing QSAR Models and Structural Alerts and Development of New Ensemble Models for Genotoxicity Using a Newly Compiled Experimental Dataset.

Authors:  Prachi Pradeep; Richard Judson; David M DeMarini; Nagalakshmi Keshava; Todd M Martin; Jeffry Dean; Catherine F Gibbons; Anita Simha; Sarah H Warren; Maureen R Gwinn; Grace Patlewicz
Journal:  Comput Toxicol       Date:  2021-05-01

3.  Comparative potency analysis of whole smoke solutions in the bacterial reverse mutation test.

Authors:  Fanxue Meng; Nan Mei; Jian Yan; Xiaoqing Guo; Patricia A Richter; Tao Chen; Mamata De
Journal:  Mutagenesis       Date:  2021-08-27       Impact factor: 3.000

Review 4.  EURL ECVAM Genotoxicity and Carcinogenicity Database of Substances Eliciting Negative Results in the Ames Test: Construction of the Database.

Authors:  Federica Madia; David Kirkland; Takeshi Morita; Paul White; David Asturiol; Raffaella Corvi
Journal:  Mutat Res       Date:  2020-05-21       Impact factor: 2.433

5.  Management of pharmaceutical ICH M7 (Q)SAR predictions - The impact of model updates.

Authors:  Catrin Hasselgren; Joel Bercu; Alex Cayley; Kevin Cross; Susanne Glowienke; Naomi Kruhlak; Wolfgang Muster; John Nicolette; M Vijayaraj Reddy; Roustem Saiakhov; Krista Dobo
Journal:  Regul Toxicol Pharmacol       Date:  2020-10-13       Impact factor: 3.271

  5 in total

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