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

Author:

Achar Jerry,Cronin Mark T. D.ORCID,Firman James W.,Öberg Gunilla

Abstract

AbstractThe 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.

Funder

Vanier Canada Graduate Scholarship

Federal Government of Canada

Social Science and Humanities Research Council

Publisher

Springer Science and Business Media LLC

Reference74 articles.

1. Alexander-White C, Bury D, Cronin M, Dent M, Hack E, Hewitt NJ, Kenna G, Naciff J, Ouedraogo G, Schepky A, Mahony C, Europe C (2022) A 10-step framework for use of read-across (RAX) in next generation risk assessment (NGRA) for cosmetics safety assessment. Regul Toxicol Pharm 129:105094. https://doi.org/10.1016/j.yrtph.2021.105094

2. Ball N, Bars R, Botham PA, Cuciureanu A, Cronin MTD, Doe JE, Dudzina T, Gant TW, Leist M, van Ravenzwaay B (2022) A framework for chemical safety assessment incorporating new approach methodologies within REACH. Arch Toxicol 96:743–766. https://doi.org/10.1007/s00204-021-03215-9

3. Ball N, Bartels M, Budinsky R, Klapacz J, Hays S, Kirman C, Patlewicz G (2014) 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. Regul Toxicol Pharm 68:212–221. https://doi.org/10.1016/j.yrtph.2013.12.007

4. Baltazar MT, Cable S, Carmichael PL, Cubberley R, Cull T, Delagrange M, Dent MP, Hatherell S, Houghton J, Kukic P, Li H, Lee M-Y, Malcomber S, Middleton AM, Moxon TE, Nathanail AV, Nicol B, Pendlington R, Reynolds G, Westmoreland C et al (2020) A next-generation risk assessment case study for coumarin in cosmetic products. Toxicol Sci 176:236–252. https://doi.org/10.1093/toxsci/kfaa048

5. Belfield SJ, Enoch SJ, Firman JW, Madden JC, Schultz TW, Cronin MTD (2021) Determination of “fitness-for-purpose” of quantitative structure-activity relationship (QSAR) models to predict (eco-)toxicological endpoints for regulatory use. Regul Toxicol Pharm 123:104956. https://doi.org/10.1016/j.yrtph.2021.104956

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3