Patterson Eann A, Whelan Maurice P, Worth Andrew P
School of Engineering, University of Liverpool, Liverpool, UK.
European Commission, Joint Research Centre (JRC), Ispra, Italy.
Comput Toxicol. 2021 Feb;17:100144. doi: 10.1016/j.comtox.2020.100144.
New approaches in toxicology based on in vitro methods and computational modelling offer considerable potential to improve the efficiency and effectiveness of chemical hazard and risk assessment in a variety of regulatory contexts. However, this presents challenges both for developers and regulatory assessors because often these two communities do not share the same level of confidence in a new approach. To address this challenge, various assessment frameworks have been developed over the past 20 years with the aim of creating harmonised and systematic approaches for evaluating new methods. These frameworks typically focus on specific methodologies and technologies, which has proven useful for establishing the validity and credibility of individual methods. However, given the increasing need to compare methods and combine their use in integrated assessment strategies, the multiplicity of frameworks is arguably becoming a barrier to their acceptance. In this commentary, we explore the concepts of model validity and credibility, and we illustrate how a set of seven credibility factors provides a method-agnostic means of comparing different kinds of predictive toxicology approaches. It is hoped that this will facilitate communication and cross-disciplinarity among method developers and users, with the ultimate aim of increasing the acceptance and use of predictive approaches in toxicology.
基于体外方法和计算建模的毒理学新方法在各种监管环境下,具有提高化学物质危害和风险评估效率及有效性的巨大潜力。然而,这给开发者和监管评估者都带来了挑战,因为这两个群体对新方法的信任程度往往不同。为应对这一挑战,在过去20年里已开发出各种评估框架,旨在创建用于评估新方法的统一且系统的方法。这些框架通常专注于特定的方法和技术,这已被证明有助于确立单个方法的有效性和可信度。然而,鉴于越来越需要比较各种方法并将其用于综合评估策略中,框架的多样性可以说是其被接受的一个障碍。在这篇评论中,我们探讨了模型有效性和可信度的概念,并举例说明了一组七个可信度因素如何提供一种与方法无关的手段来比较不同类型的预测毒理学方法。希望这将促进方法开发者和使用者之间的沟通与跨学科合作,最终目标是提高预测方法在毒理学中的接受度和应用。