Literature DB >> 25857293

Building scientific confidence in the development and evaluation of read-across.

G Patlewicz1, N Ball2, P J Boogaard3, R A Becker4, B Hubesch5.   

Abstract

Read-across is an alternative approach exploited to address information requirements for risk assessment and for regulatory programmes such as the European Union's REACH regulation. Whilst read-across approaches are accepted in principle, difficulties still remain in applying them consistently in practice. Recent work within Cefic LRI and ECETOC attempted to summarize the state-of-the-art and identify some of the barriers to broader acceptance of read-across approaches to overcome these. Acceptance is undoubtedly thwarted partly by the lack of a systematic framework to characterize the read-across justification and identify the uncertainties particularly for complex regulatory endpoints such as repeated-dose toxicity or prenatal developmental toxicity. Efforts are underway by the European Chemical's Agency (ECHA) to develop a Read-Across Assessment Framework (RAAF) and private sector experts have also considered the development of a similar framework. At the same time, mechanistic chemical categories are being proposed which are underpinned by Adverse Outcome Pathways (AOPs). Currently such frameworks are only focusing on discrete organic substances, though the AOP approach could conceivably be applied to evaluate more complex substances such as mixtures. Here we summarize the deliberations of the Cefic LRI read-across team in characterizing scientific confidence in the development and evaluation of read-across.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  (Quantitative) Structure Activity Relationship (Q)SAR; Adverse Outcome Pathway (AOP); Analogue approach; Chemical categories; Quantitative Mechanistic Models (QMM); Read-across; Scientific confidence

Mesh:

Substances:

Year:  2015        PMID: 25857293     DOI: 10.1016/j.yrtph.2015.03.015

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


  13 in total

1.  A case study on the application of an expert-driven read-across approach in support of quantitative risk assessment of p,p'-dichlorodiphenyldichloroethane.

Authors:  Lucina E Lizarraga; Jeffry L Dean; J Phillip Kaiser; Scott C Wesselkamper; Jason C Lambert; Q Jay Zhao
Journal:  Regul Toxicol Pharmacol       Date:  2019-02-19       Impact factor: 3.271

2.  Navigating through the minefield of read-across tools: A review of in silico tools for grouping.

Authors:  Patlewicz Grace; Helman George; Pradeep Prachi; Shah Imran
Journal:  Comput Toxicol       Date:  2017-08

3.  A systematic evaluation of analogs and automated read-across prediction of estrogenicity: A case study using hindered phenols.

Authors:  Prachi Pradeep; Kamel Mansouri; Grace Patlewicz; Richard Judson
Journal:  Comput Toxicol       Date:  2017-11-01

4.  Alarms about structural alerts.

Authors:  Vinicius Alves; Eugene Muratov; Stephen Capuzzi; Regina Politi; Yen Low; Rodolpho Braga; Alexey V Zakharov; Alexander Sedykh; Elena Mokshyna; Sherif Farag; Carolina Andrade; Victor Kuz'min; Denis Fourches; Alexander Tropsha
Journal:  Green Chem       Date:  2016-06-28       Impact factor: 10.182

5.  Extending the Generalised Read-Across approach (GenRA): A systematic analysis of the impact of physicochemical property information on read-across performance.

Authors:  George Helman; Imran Shah; Grace Patlewicz
Journal:  Comput Toxicol       Date:  2018

6.  Exploring current read-across applications and needs among selected U.S. Federal Agencies.

Authors:  Grace Patlewicz; Lucina E Lizarraga; Diego Rua; David G Allen; Amber B Daniel; Suzanne C Fitzpatrick; Natàlia Garcia-Reyero; John Gordon; Pertti Hakkinen; Angela S Howard; Agnes Karmaus; Joanna Matheson; Moiz Mumtaz; Andrea-Nicole Richarz; Patricia Ruiz; Louis Scarano; Takashi Yamada; Nicole Kleinstreuer
Journal:  Regul Toxicol Pharmacol       Date:  2019-05-10       Impact factor: 3.271

7.  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

8.  A chemical-biological similarity-based grouping of complex substances as a prototype approach for evaluating chemical alternatives.

Authors:  Fabian A Grimm; Yasuhiro Iwata; Oksana Sirenko; Grace A Chappell; Fred A Wright; David M Reif; John Braisted; David L Gerhold; Joanne M Yeakley; Peter Shepard; Bruce Seligmann; Tim Roy; Peter J Boogaard; Hans B Ketelslegers; Arlean M Rohde; Ivan Rusyn
Journal:  Green Chem       Date:  2016-05-16       Impact factor: 10.182

9.  Global analysis of publicly available safety data for 9,801 substances registered under REACH from 2008-2014.

Authors:  Thomas Luechtefeld; Alexandra Maertens; Daniel P Russo; Costanza Rovida; Hao Zhu; Thomas Hartung
Journal:  ALTEX       Date:  2016-02-11       Impact factor: 6.043

10.  Creating a Structured AOP Knowledgebase via Ontology-Based Annotations.

Authors:  Cataia Ives; Ivana Campia; Rong-Lin Wang; Clemens Wittwehr; Stephen Edwards
Journal:  Appl In Vitro Toxicol       Date:  2017-12-01
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