Dervilly-Pinel Gaud, Royer Anne-Lise, Bozzetta Elena, Pezzolato Marzia, Herpin Loïc, Prevost Stéphanie, Le Bizec Bruno
a Laberca, Oniris, INRA , Université Bretagne Loire , Nantes , France.
b Istituto Zooprofilattico Sperimentale del Piemonte Liguria e Valle d'Aosta , Torino , Italy.
Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2018 Oct;35(10):1948-1958. doi: 10.1080/19440049.2018.1496280. Epub 2018 Aug 3.
Within the particular context of controlling chemical residues in food, an alternative to targeted approaches has emerged; it consists in the characterisation of physiological perturbations induced upon exposure of animals to a given chemical substance/class of substances to highlight suitable biomarkers addressing safety and/or regulatory issues. Metabolomics in particular has been investigated in the hope of identifying such biomarkers, and a range of studies have demonstrated the efficiency of the strategy. Until very recently, steps remained to be taken towards official or commercial implementation of corresponding tools. In particular, the lack of guidelines and criteria to validate such methods that do not target specific chemical species per se, constituted a bottleneck. In the present work, a metabolomics model dedicated to the detection of β-agonist administration in bovines has been developed and fully validated; criteria (selectivity, robustness, stability, suspicion threshold definition, false positive and false negative rates) have been proposed in agreement with EU expectations (Dec 2002/657), enabling demonstration that performances comply with screening requirements. Although some of the biomarkers involved in the prediction model remain un-elucidated, the corresponding LC-HRMS method has recently been ISO17025 accredited, allowing for the very first official implementation of a metabolomics based strategy within French National Monitoring Plans.
在控制食品中化学残留的特定背景下,一种替代靶向方法的策略应运而生;该策略在于描述动物接触特定化学物质/一类物质时所引发的生理扰动,以找出适用于解决安全和/或监管问题的生物标志物。尤其是代谢组学已被用于寻找此类生物标志物,一系列研究也证明了该策略的有效性。直到最近,相应工具在官方或商业层面的应用仍有待推进。特别是,缺乏验证此类非针对特定化学物质本身方法的指南和标准,成为了一个瓶颈。在本研究中,我们开发并全面验证了一个用于检测牛体内β-激动剂施用情况的代谢组学模型;我们根据欧盟预期(2002/657号指令)提出了相关标准(选择性、稳健性、稳定性、可疑阈值定义、假阳性和假阴性率),从而能够证明该模型的性能符合筛查要求。尽管预测模型中涉及的一些生物标志物仍未明确,但相应的液相色谱-高分辨质谱方法最近已获得ISO17025认可,这使得基于代谢组学的策略首次在法国国家监测计划中得到正式应用。