Madariaga-Mazón Abraham, Osnaya-Hernández Adriana, Chávez-Gómez Arni, García-Ramos Juan Carlos, Cortés-Guzmán Fernando, Castillo-Pazos Durbis Javier, Martínez-Mayorga Karina
Instituto de Química , Universidad Nacional Autónoma de México , Mexico City , Mexico . Email:
Toxicol Res (Camb). 2019 Jan 8;8(2):146-156. doi: 10.1039/c8tx00322j. eCollection 2019 Mar 1.
The continuous use of compounds contained in commodities such as processed food, medicines, and pesticides, demands safety measures, in particular, for those in direct contact with humans and the environment. Safety measures have evolved and regulations are now in place around the globe. In the case of pesticides, attempts have been made to use toxicological data to inform of potentially harmful compounds either across species, on different routes of exposure, or entirely new chemicals. The generation of models, based on statistical and molecular modeling studies, allows for such predictions. However, the use of these models is framed by the available data, the experimental errors, the complexity of the measurement, and the available computational algorithms, among other factors. In this work, we present the methodologies used for extrapolation across different species and routes of administration and show the appropriateness of developing predictive models of pesticides based on their type and mode of action. The analyses include comparisons based on structural characteristics and physicochemical properties. Whenever possible, the scope and limitations of the methodologies are discussed. We expect that this work will serve as a useful introductory guide of the tools employed in the toxicity assessment of agrochemical compounds.
加工食品、药品和农药等商品中所含化合物的持续使用需要安全措施,尤其是对于那些与人类和环境直接接触的化合物。安全措施不断演变,现在全球都有相关法规。就农药而言,人们已尝试利用毒理学数据来告知潜在有害化合物,无论是跨物种、不同暴露途径还是全新的化学物质。基于统计和分子建模研究生成的模型能够进行此类预测。然而,这些模型的使用受到可用数据、实验误差、测量的复杂性以及可用计算算法等诸多因素的限制。在这项工作中,我们展示了用于跨不同物种和给药途径进行外推的方法,并表明基于农药的类型和作用方式开发预测模型的合理性。分析包括基于结构特征和物理化学性质的比较。只要有可能,我们就会讨论这些方法的范围和局限性。我们期望这项工作能成为农用化学品化合物毒性评估中所用工具的有用入门指南。