A problem formulation framework for the application of in silico toxicology methods in chemical risk assessment

被引:3
作者
Achar, Jerry [1 ]
Cronin, Mark T. D. [2 ]
Firman, James W. [2 ]
Oberg, Gunilla [1 ]
机构
[1] Univ British Columbia, Inst Resources Environm & Sustainabil, 2202 Main Mall, Vancouver, BC V6T 1Z4, Canada
[2] Liverpool John Moores Univ, Sch Pharm & Biomol Sci, Byrom St, Liverpool L3 3AF, England
关键词
In silico methods; Risk assessment; Problem formulation; Uncertainty; READ-ACROSS; APPROACH METHODOLOGIES; 21ST-CENTURY ROADMAP; UNCERTAINTY; PREDICTION;
D O I
10.1007/s00204-024-03721-6
中图分类号
R99 [毒物学(毒理学)];
学科分类号
100405 ;
摘要
The first step in the hazard or risk assessment of chemicals should be to formulate the problem through a systematic and iterative process aimed at identifying and defining factors critical to the assessment. However, no general agreement exists on what components an in silico toxicology problem formulation (PF) should include. The present work aims to develop a PF framework relevant to the application of in silico models for chemical toxicity prediction. We modified and applied a PF framework from the general risk assessment literature to peer reviewed papers describing PFs associated with in silico toxicology models. Important gaps between the general risk assessment literature and the analyzed PF literature associated with in silico toxicology methods were identified. While the former emphasizes the need for PFs to address higher-level conceptual questions, the latter does not. There is also little consistency in the latter regarding the PF components addressed, reinforcing the need for a PF framework that enable users of in silico toxicology models to answer the central conceptual questions aimed at defining components critical to the model application. Using the developed framework, we highlight potential areas of uncertainty manifestation in in silico toxicology PF in instances where particular components are missing or implicitly described. The framework represents the next step in standardizing in silico toxicology PF component. The framework can also be used to improve the understanding of how uncertainty is apparent in an in silico toxicology PF, thus facilitating ways to address uncertainty.
引用
收藏
页码:1727 / 1740
页数:14
相关论文
共 75 条
[1]   A 10-step framework for use of read-across (RAX) in next generation risk assessment (NGRA) for cosmetics safety assessment [J].
Alexander-White, Camilla ;
Bury, Dagmar ;
Cronin, Mark ;
Dent, Matthew ;
Hack, Eric ;
Hewitt, Nicola J. ;
Kenna, Gerry ;
Naciff, Jorge ;
Ouedraogo, Gladys ;
Schepky, Andreas ;
Mahony, Catherine ;
Europe, Cosmetics .
REGULATORY TOXICOLOGY AND PHARMACOLOGY, 2022, 129
[2]  
[Anonymous], 2019, Series on Testing and Assessment No. 23: Guidance Document on Aqueous-Phase Toxicity Testing of Difficult Test Chemicals, VSecond, DOI 10.1787/f11597f6-en
[3]  
[Anonymous], 1998, Federal Register, V63, P26846, DOI DOI 10.1897/1552-8618(1992)11[1663:AFFERA]2.0.CO
[4]  
2.
[5]   A framework for chemical safety assessment incorporating new approach methodologies within REACH [J].
Ball, Nicholas ;
Bars, Remi ;
Botham, Philip A. ;
Cuciureanu, Andreea ;
Cronin, Mark T. D. ;
Doe, John E. ;
Dudzina, Tatsiana ;
Gant, Timothy W. ;
Leist, Marcel ;
van Ravenzwaay, Bennard .
ARCHIVES OF TOXICOLOGY, 2022, 96 (03) :743-766
[6]   The challenge of using read-across within the EU REACH regulatory framework; how much uncertainty is too much? Dipropylene glycol methyl ether acetate, an exemplary case study [J].
Ball, Nicholas ;
Bartels, Michael ;
Budinsky, Robert ;
Klapacz, Joanna ;
Hays, Sean ;
Kirman, Christopher ;
Patlewicz, Grace .
REGULATORY TOXICOLOGY AND PHARMACOLOGY, 2014, 68 (02) :212-221
[7]   A Next-Generation Risk Assessment Case Study for Coumarin in Cosmetic Products [J].
Baltazar, Maria T. ;
Cable, Sophie ;
Carmichael, Paul L. ;
Cubberley, Richard ;
Cull, Tom ;
Delagrange, Mona ;
Dent, Matthew P. ;
Hatherell, Sarah ;
Houghton, Jade ;
Kukic, Predrag ;
Li, Hequn ;
Lee, Mi-Young ;
Malcomber, Sophie ;
Middleton, Alistair M. ;
Moxon, Thomas E. ;
Nathanail, Alexis, V ;
Nicol, Beate ;
Pendlington, Ruth ;
Reynolds, Georgia ;
Reynolds, Joe ;
White, Andrew ;
Westmoreland, Carl .
TOXICOLOGICAL SCIENCES, 2020, 176 (01) :236-252
[8]   Determination of "fitness-for-purpose" of quantitative structure-activity relationship (QSAR) models to predict (eco-)toxicological endpoints for regulatory use [J].
Belfield, Samuel J. ;
Enoch, Steven J. ;
Firman, James W. ;
Madden, Judith C. ;
Schultz, Terry W. ;
Cronin, Mark T. D. .
REGULATORY TOXICOLOGY AND PHARMACOLOGY, 2021, 123
[9]   A framework to facilitate consistent characterization of read across uncertainty [J].
Blackburn, Karen ;
Stuard, Sharon B. .
REGULATORY TOXICOLOGY AND PHARMACOLOGY, 2014, 68 (03) :353-362
[10]   If cumulative risk assessment is the answer, what is the question? [J].
Callahan, Michael A. ;
Sexton, Ken .
ENVIRONMENTAL HEALTH PERSPECTIVES, 2007, 115 (05) :799-806