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Food ingredient safety evaluation: Utility and relevance of toxicokinetic methods

机译:食品成分安全评价:诱导毒性方法的效用与相关性

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The use of toxicokinetic (TK) data is becoming more prevalent in the evaluation of food ingredient safety as more TK information is being incorporated in safety data packages. Data demonstrating "1) the extent of absorption, 2) tissue distribution, 3) pathways and rates of metabolism, and 4) rate(s) of elimination" of food ingredients and their metabolites of intermediate and high toxicological potential may be useful for planning and designing toxicity studies, selecting doses for toxicity studies, addressing species differences, and understanding the potential modes of action to evaluate their safety. TIC data reported in the literature or generated from mechanistic TK studies can be analyzed using mathematical methods, including compartment and noncompartment TK methods, whose predictions can enhance interpretation of observed effects. Because of recent advancements, several approaches have been developed to improve sensitivity of analyses of available TK data and reduce uncertainty for evaluating safety of food ingredients. An example of advanced TK methods is physiologically-based TIC (PBTK) modeling that incorporates physiological/biochemical parameters into a TIC framework to predict internal exposure. In this review, we discuss the utility of some TIC methods and explore their relevance and potential value for food ingredient safety evaluation. We also describe the strengths and limitations of these TIC methods and discuss current challenges and opportunities for expanding their application for evaluating safety of food ingredients. This review represents a state of science report, and not a guidance document, on the utility and relevance of TK methods for the safety evaluation of food ingredients.
机译:在评估食品成分安全性时,使用毒物动力学(TK)数据变得越来越普遍,因为更多的TK信息被纳入安全数据包装中。展示“1)的数据量,2)组织分布,3)途径和代谢率的途径和4)食品成分的速率和中间体和高毒理学潜力的代谢产物可能是有用的并设计毒性研究,选择毒性研究剂量,解决物种差异,了解潜在的行动方式,以评估其安全。可以使用数学方法分析文献中报告的TIC数据或从机械TK研究中产生的数据,包括隔室和非群集TK方法,其预测可以增强观察到的效果的解释。由于最新的进步,已经开发了几种方法来提高可用的TK数据分析的敏感性,并减少评估食品成分安全性的不确定性。高级TK方法的一个例子是基于生理学的TIC(PBTK)建模,其将生理/生化参数结合到TIC框架中以预测内部曝光。在本综述中,我们讨论了一些TIC方法的效用,并探讨了食品成分安全评估的相关性和潜在价值。我们还描述了这些TIC方法的优势和局限,并讨论了扩大其评估食品成分安全性的挑战和机遇。该审查代表了科学报告,而不是指导文件,即TK方法的食品成分安全评估的实用性和相关性。

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