Karmaus Agnes L, Trautman Thomas D, Krishan Mansi, Filer Dayne L, Fix Laurel A
Integrated Laboratory Systems Inc., Research Triangle Park, NC, USA.
Retired, Toxicology & Regulatory Affairs, General Mills, Minneapolis, MN, USA.
Food Chem Toxicol. 2017 May;103:174-182. doi: 10.1016/j.fct.2017.03.006. Epub 2017 Mar 7.
High-throughput in vitro assays and exposure prediction efforts are paving the way for modeling chemical risk; however, the utility of such extensive datasets can be limited or misleading when annotation fails to capture current chemical usage. To address this data gap and provide context for food-use in the United States (US), manual curation of food-relevant chemicals in ToxCast was conducted. Chemicals were categorized into three food-use categories: (1) direct food additives, (2) indirect food additives, or (3) pesticide residues. Manual curation resulted in 30% of chemicals having new annotation as well as the removal of 319 chemicals, most due to cancellation or only foreign usage. These results highlight that manual curation of chemical use information provided significant insight affecting the overall inventory and chemical categorization. In total, 1211 chemicals were confirmed as current day food-use in the US by manual curation; 1154 of these chemicals were also identified as food-related in the globally sourced chemical use information from Chemical/Product Categories database (CPCat). The refined list of food-use chemicals and the sources highlighted for compiling annotated information required to confirm food-use are valuable resources for providing needed context when evaluating large-scale inventories such as ToxCast.
高通量体外试验和暴露预测工作正在为化学风险建模铺平道路;然而,当注释未能涵盖当前化学品使用情况时,此类广泛数据集的效用可能会受到限制或产生误导。为了填补这一数据空白并提供美国食品使用的背景信息,对ToxCast中与食品相关的化学品进行了人工整理。化学品被分为三类食品用途:(1)直接食品添加剂,(2)间接食品添加剂,或(3)农药残留。人工整理导致30%的化学品有了新注释,同时删除了319种化学品,其中大部分是由于取消使用或仅在国外使用。这些结果表明,化学品使用信息的人工整理为影响总体清单和化学品分类提供了重要见解。通过人工整理,总共确认了1211种化学品为美国目前的食品用途;在来自化学/产品类别数据库(CPCat)的全球来源化学品使用信息中,其中1154种化学品也被确定与食品相关。精制的食品用途化学品清单以及为确认食品用途而编制注释信息所突出的来源,是在评估ToxCast等大规模清单时提供所需背景信息的宝贵资源。