Santonen Tiina, Mahiout Selma, Alvito Paula, Apel Petra, Bessems Jos, Bil Wieneke, Borges Teresa, Bose-O'Reilly Stephan, Buekers Jurgen, Cañas Portilla Ana Isabel, Calvo Argelia Castaño, de Alba González Mercedes, Domínguez-Morueco Noelia, López Marta Esteban, Falnoga Ingrid, Gerofke Antje, Caballero María Del Carmen González, Horvat Milena, Huuskonen Pasi, Kadikis Normunds, Kolossa-Gehring Marike, Lange Rosa, Louro Henriqueta, Martins Carla, Meslin Matthieu, Niemann Lars, Díaz Susana Pedraza, Plichta Veronika, Porras Simo P, Rousselle Christophe, Scholten Bernice, Silva Maria João, Šlejkovec Zdenka, Tratnik Janja Snoj, Joksić Agnes Šömen, Tarazona Jose V, Uhl Maria, Van Nieuwenhuyse An, Viegas Susana, Vinggaard Anne Marie, Woutersen Marjolijn, Schoeters Greet
Finnish Institute of Occupational Health, Finland.
Finnish Institute of Occupational Health, Finland.
Int J Hyg Environ Health. 2023 Apr;249:114139. doi: 10.1016/j.ijheh.2023.114139. Epub 2023 Mar 2.
One of the aims of the European Human Biomonitoring Initiative, HBM4EU, was to provide examples of and good practices for the effective use of human biomonitoring (HBM) data in human health risk assessment (RA). The need for such information is pressing, as previous research has indicated that regulatory risk assessors generally lack knowledge and experience of the use of HBM data in RA. By recognising this gap in expertise, as well as the added value of incorporating HBM data into RA, this paper aims to support the integration of HBM into regulatory RA. Based on the work of the HBM4EU, we provide examples of different approaches to including HBM in RA and in estimations of the environmental burden of disease (EBoD), the benefits and pitfalls involved, information on the important methodological aspects to consider, and recommendations on how to overcome obstacles. The examples are derived from RAs or EBoD estimations made under the HBM4EU for the following HBM4EU priority substances: acrylamide, o-toluidine of the aniline family, aprotic solvents, arsenic, bisphenols, cadmium, diisocyanates, flame retardants, hexavalent chromium [Cr(VI)], lead, mercury, mixture of per-/poly-fluorinated compounds, mixture of pesticides, mixture of phthalates, mycotoxins, polycyclic aromatic hydrocarbons (PAHs), and the UV-filter benzophenone-3. Although the RA and EBoD work presented here is not intended to have direct regulatory implications, the results can be useful for raising awareness of possibly needed policy actions, as newly generated HBM data from HBM4EU on the current exposure of the EU population has been used in many RAs and EBoD estimations.
欧洲人类生物监测倡议(HBM4EU)的目标之一是提供在人类健康风险评估(RA)中有效使用人类生物监测(HBM)数据的示例和良好做法。对这类信息的需求十分迫切,因为先前的研究表明,监管风险评估人员普遍缺乏在风险评估中使用HBM数据的知识和经验。认识到这一专业知识差距以及将HBM数据纳入风险评估的附加价值,本文旨在支持将HBM纳入监管风险评估。基于HBM4EU的工作,我们提供了将HBM纳入风险评估和疾病环境负担(EBoD)估计的不同方法的示例、其中涉及的益处和陷阱、关于重要方法学方面的信息,以及关于如何克服障碍的建议。这些示例源自HBM4EU针对以下HBM4EU优先物质进行的风险评估或EBoD估计:丙烯酰胺、苯胺家族的邻甲苯胺、非质子溶剂、砷、双酚、镉、二异氰酸酯、阻燃剂、六价铬[Cr(VI)]、铅、汞、全氟/多氟化合物混合物、农药混合物、邻苯二甲酸酯混合物、霉菌毒素、多环芳烃(PAHs)以及紫外线过滤剂二苯甲酮-3。尽管此处展示的风险评估和EBoD工作并非旨在产生直接的监管影响,但由于HBM4EU关于欧盟人口当前暴露情况的新生成HBM数据已被用于许多风险评估和EBoD估计中,其结果对于提高对可能需要的政策行动的认识可能会有所帮助。