Principles and procedures for implementation of ICH M7 recommended (Q)SAR analyses
- PMID: 26877192
- DOI: 10.1016/j.yrtph.2016.02.004
Principles and procedures for implementation of ICH M7 recommended (Q)SAR analyses
Abstract
The ICH M7 guideline describes a consistent approach to identify, categorize, and control DNA reactive, mutagenic, impurities in pharmaceutical products to limit the potential carcinogenic risk related to such impurities. This paper outlines a series of principles and procedures to consider when generating (Q)SAR assessments aligned with the ICH M7 guideline to be included in a regulatory submission. In the absence of adequate experimental data, the results from two complementary (Q)SAR methodologies may be combined to support an initial hazard classification. This may be followed by an assessment of additional information that serves as the basis for an expert review to support or refute the predictions. This paper elucidates scenarios where additional expert knowledge may be beneficial, what such an expert review may contain, and how the results and accompanying considerations may be documented. Furthermore, the use of these principles and procedures to yield a consistent and robust (Q)SAR-based argument to support impurity qualification for regulatory purposes is described in this manuscript.
Keywords: (Q)SAR; Ames test; Expert review; ICH M7; Impurities; Mutagenic impurities; Toxicity databases.
Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.
Similar articles
-
Extending (Q)SARs to incorporate proprietary knowledge for regulatory purposes: A case study using aromatic amine mutagenicity.Regul Toxicol Pharmacol. 2016 Jun;77:1-12. doi: 10.1016/j.yrtph.2016.02.003. Epub 2016 Feb 13. Regul Toxicol Pharmacol. 2016. PMID: 26879463
-
Transitioning to composite bacterial mutagenicity models in ICH M7 (Q)SAR analyses.Regul Toxicol Pharmacol. 2019 Dec;109:104488. doi: 10.1016/j.yrtph.2019.104488. Epub 2019 Oct 3. Regul Toxicol Pharmacol. 2019. PMID: 31586682 Free PMC article.
-
Use of in silico systems and expert knowledge for structure-based assessment of potentially mutagenic impurities.Regul Toxicol Pharmacol. 2013 Oct;67(1):39-52. doi: 10.1016/j.yrtph.2013.05.001. Epub 2013 May 10. Regul Toxicol Pharmacol. 2013. PMID: 23669331
-
In silico prediction of genotoxicity.Food Chem Toxicol. 2017 Aug;106(Pt B):595-599. doi: 10.1016/j.fct.2016.12.013. Epub 2016 Dec 12. Food Chem Toxicol. 2017. PMID: 27979779 Review.
-
In silico models for genotoxicity and drug regulation.Expert Opin Drug Metab Toxicol. 2020 Aug;16(8):651-662. doi: 10.1080/17425255.2020.1785428. Epub 2020 Jun 28. Expert Opin Drug Metab Toxicol. 2020. PMID: 32567390 Review.
Cited by
-
A local QSAR model based on the stability of nitrenium ions to support the ICH M7 expert review on the mutagenicity of primary aromatic amines.Genes Environ. 2022 Mar 21;44(1):10. doi: 10.1186/s41021-022-00238-1. Genes Environ. 2022. PMID: 35313995 Free PMC article.
-
Implementation of in silico toxicology protocols within a visual and interactive hazard assessment platform.Comput Toxicol. 2022 Feb;21:100201. doi: 10.1016/j.comtox.2021.100201. Epub 2021 Oct 28. Comput Toxicol. 2022. PMID: 35036665 Free PMC article.
-
The importance of expert review to clarify ambiguous situations for (Q)SAR predictions under ICH M7.Genes Environ. 2020 Sep 22;42:27. doi: 10.1186/s41021-020-00166-y. eCollection 2020. Genes Environ. 2020. PMID: 32983286 Free PMC article.
-
Genetic toxicology in silico protocol.Regul Toxicol Pharmacol. 2019 Oct;107:104403. doi: 10.1016/j.yrtph.2019.104403. Epub 2019 Jun 11. Regul Toxicol Pharmacol. 2019. PMID: 31195068 Free PMC article.
-
Use of In Silico Methods for Regulatory Toxicological Assessment of Pharmaceutical Impurities.Methods Mol Biol. 2022;2425:537-560. doi: 10.1007/978-1-0716-1960-5_21. Methods Mol Biol. 2022. PMID: 35188646
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Miscellaneous