Literature DB >> 26877192

Principles and procedures for implementation of ICH M7 recommended (Q)SAR analyses.

Alexander Amberg1, Lisa Beilke2, Joel Bercu3, Dave Bower4, Alessandro Brigo5, Kevin P Cross4, Laura Custer6, Krista Dobo7, Eric Dowdy3, Kevin A Ford8, Susanne Glowienke9, Jacky Van Gompel10, James Harvey11, Catrin Hasselgren4, Masamitsu Honma12, Robert Jolly13, Raymond Kemper14, Michelle Kenyon7, Naomi Kruhlak15, Penny Leavitt6, Scott Miller4, Wolfgang Muster5, John Nicolette16, Andreja Plaper17, Mark Powley15, Donald P Quigley4, M Vijayaraj Reddy18, Hans-Peter Spirkl1, Lidiya Stavitskaya15, Andrew Teasdale19, Sandy Weiner20, Dennie S Welch16, Angela White11, Joerg Wichard21, Glenn J Myatt22.   

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.
Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  (Q)SAR; Ames test; Expert review; ICH M7; Impurities; Mutagenic impurities; Toxicity databases

Mesh:

Substances:

Year:  2016        PMID: 26877192     DOI: 10.1016/j.yrtph.2016.02.004

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


  14 in total

1.  In silico toxicology protocols.

Authors:  Glenn J Myatt; Ernst Ahlberg; Yumi Akahori; David Allen; Alexander Amberg; Lennart T Anger; Aynur Aptula; Scott Auerbach; Lisa Beilke; Phillip Bellion; Romualdo Benigni; Joel Bercu; Ewan D Booth; Dave Bower; Alessandro Brigo; Natalie Burden; Zoryana Cammerer; Mark T D Cronin; Kevin P Cross; Laura Custer; Magdalena Dettwiler; Krista Dobo; Kevin A Ford; Marie C Fortin; Samantha E Gad-McDonald; Nichola Gellatly; Véronique Gervais; Kyle P Glover; Susanne Glowienke; Jacky Van Gompel; Steve Gutsell; Barry Hardy; James S Harvey; Jedd Hillegass; Masamitsu Honma; Jui-Hua Hsieh; Chia-Wen Hsu; Kathy Hughes; Candice Johnson; Robert Jolly; David Jones; Ray Kemper; Michelle O Kenyon; Marlene T Kim; Naomi L Kruhlak; Sunil A Kulkarni; Klaus Kümmerer; Penny Leavitt; Bernhard Majer; Scott Masten; Scott Miller; Janet Moser; Moiz Mumtaz; Wolfgang Muster; Louise Neilson; Tudor I Oprea; Grace Patlewicz; Alexandre Paulino; Elena Lo Piparo; Mark Powley; Donald P Quigley; M Vijayaraj Reddy; Andrea-Nicole Richarz; Patricia Ruiz; Benoit Schilter; Rositsa Serafimova; Wendy Simpson; Lidiya Stavitskaya; Reinhard Stidl; Diana Suarez-Rodriguez; David T Szabo; Andrew Teasdale; Alejandra Trejo-Martin; Jean-Pierre Valentin; Anna Vuorinen; Brian A Wall; Pete Watts; Angela T White; Joerg Wichard; Kristine L Witt; Adam Woolley; David Woolley; Craig Zwickl; Catrin Hasselgren
Journal:  Regul Toxicol Pharmacol       Date:  2018-04-17       Impact factor: 3.271

2.  Genetic toxicology in silico protocol.

Authors:  Catrin Hasselgren; Ernst Ahlberg; Yumi Akahori; Alexander Amberg; Lennart T Anger; Franck Atienzar; Scott Auerbach; Lisa Beilke; Phillip Bellion; Romualdo Benigni; Joel Bercu; Ewan D Booth; Dave Bower; Alessandro Brigo; Zoryana Cammerer; Mark T D Cronin; Ian Crooks; Kevin P Cross; Laura Custer; Krista Dobo; Tatyana Doktorova; David Faulkner; Kevin A Ford; Marie C Fortin; Markus Frericks; Samantha E Gad-McDonald; Nichola Gellatly; Helga Gerets; Véronique Gervais; Susanne Glowienke; Jacky Van Gompel; James S Harvey; Jedd Hillegass; Masamitsu Honma; Jui-Hua Hsieh; Chia-Wen Hsu; Tara S Barton-Maclaren; Candice Johnson; Robert Jolly; David Jones; Ray Kemper; Michelle O Kenyon; Naomi L Kruhlak; Sunil A Kulkarni; Klaus Kümmerer; Penny Leavitt; Scott Masten; Scott Miller; Chandrika Moudgal; Wolfgang Muster; Alexandre Paulino; Elena Lo Piparo; Mark Powley; Donald P Quigley; M Vijayaray Reddy; Andrea-Nicole Richarz; Benoit Schilter; Ronald D Snyder; Lidiya Stavitskaya; Reinhard Stidl; David T Szabo; Andrew Teasdale; Raymond R Tice; Alejandra Trejo-Martin; Anna Vuorinen; Brian A Wall; Pete Watts; Angela T White; Joerg Wichard; Kristine L Witt; Adam Woolley; David Woolley; Craig Zwickl; Glenn J Myatt
Journal:  Regul Toxicol Pharmacol       Date:  2019-06-11       Impact factor: 3.271

3.  Implementation of in silico toxicology protocols within a visual and interactive hazard assessment platform.

Authors:  Glenn J Myatt; Arianna Bassan; Dave Bower; Candice Johnson; Scott Miller; Manuela Pavan; Kevin P Cross
Journal:  Comput Toxicol       Date:  2021-10-28

4.  Use of In Silico Methods for Regulatory Toxicological Assessment of Pharmaceutical Impurities.

Authors:  Simona Kovarich; Claudia Ileana Cappelli
Journal:  Methods Mol Biol       Date:  2022

5.  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

Review 6.  In silico toxicology: From structure-activity relationships towards deep learning and adverse outcome pathways.

Authors:  Jennifer Hemmerich; Gerhard F Ecker
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2020-03-31

7.  Transitioning to composite bacterial mutagenicity models in ICH M7 (Q)SAR analyses.

Authors:  Curran Landry; Marlene T Kim; Naomi L Kruhlak; Kevin P Cross; Roustem Saiakhov; Suman Chakravarti; Lidiya Stavitskaya
Journal:  Regul Toxicol Pharmacol       Date:  2019-10-03       Impact factor: 3.271

8.  Extending (Q)SARs to incorporate proprietary knowledge for regulatory purposes: is aromatic N-oxide a structural alert for predicting DNA-reactive mutagenicity?

Authors:  Alexander Amberg; Lennart T Anger; Joel Bercu; David Bower; Kevin P Cross; Laura Custer; James S Harvey; Catrin Hasselgren; Masamitsu Honma; Candice Johnson; Robert Jolly; Michelle O Kenyon; Naomi L Kruhlak; Penny Leavitt; Donald P Quigley; Scott Miller; David Snodin; Lidiya Stavitskaya; Andrew Teasdale; Alejandra Trejo-Martin; Angela T White; Joerg Wichard; Glenn J Myatt
Journal:  Mutagenesis       Date:  2019-03-06       Impact factor: 3.000

9.  A cross-industry collaboration to assess if acute oral toxicity (Q)SAR models are fit-for-purpose for GHS classification and labelling.

Authors:  Joel Bercu; Melisa J Masuda-Herrera; Alejandra Trejo-Martin; Catrin Hasselgren; Jean Lord; Jessica Graham; Matthew Schmitz; Lawrence Milchak; Colin Owens; Surya Hari Lal; Richard Marchese Robinson; Sarah Whalley; Phillip Bellion; Anna Vuorinen; Kamila Gromek; William A Hawkins; Iris van de Gevel; Kathleen Vriens; Raymond Kemper; Russell Naven; Pierre Ferrer; Glenn J Myatt
Journal:  Regul Toxicol Pharmacol       Date:  2020-12-17       Impact factor: 3.271

10.  Translating New Science Into the Drug Review Process: The US FDA's Division of Applied Regulatory Science.

Authors:  Rodney Rouse; Naomi Kruhlak; James Weaver; Keith Burkhart; Vikram Patel; David G Strauss
Journal:  Ther Innov Regul Sci       Date:  2017-07-21       Impact factor: 1.778

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