Iglesias-Gonzalez Alba, Appenzeller Brice M R
Human Biomonitoring Research Unit, Department of Precision Health - Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg.
Human Biomonitoring Research Unit, Department of Precision Health - Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg.
Sci Total Environ. 2025 Jan 1;958:178111. doi: 10.1016/j.scitotenv.2024.178111. Epub 2024 Dec 17.
While biomonitoring approaches are frequently employed for assessing chemical exposure, many of them are constrained to a limited number of target chemicals, running counter to our current understanding of interactions within chemical mixtures and the growing evidence of multiple exposures within human populations. Although authors agree on the need for more comprehensive methodologies, literature provides insufficient evidence of the multifaceted nature of exposure and of the benefit of widening the analytical scope to improve exposure assessment. Moreover, although multiple exposures are generally admitted, very few are known on the scale of the human chemical exposome. Here, we illustrate how increasing the number of chemicals possibly captured improves the information on exposure. Through a literature review centered on studies utilizing hair analysis to assess exposure to anthropogenic organic pollutants, we provide here the first demonstration of how expanding the number of compounds analyzed in biomonitoring methods enhances our understanding of the chemical exposome. The results not only underscore the prevalence of multiple exposures but also reveal distinct exposure patterns within various demographic groups. Utilizing extrapolated biomonitoring data, we introduce a novel approach to estimate the number of chemicals to which humans can be simultaneously exposed. This biomonitoring-based approach is the first one relying on data derived from human samples rather than indirect metrics such as sales figures or registered chemicals. Eventually, we draw upon results from studies conducted in our team to illustrate local specificities in exposure among different populations, emphasizing the complexity of risk assessment while implemented in prevention strategies.
虽然生物监测方法经常用于评估化学物质暴露情况,但其中许多方法仅限于少数几种目标化学物质,这与我们目前对化学混合物内部相互作用的理解以及人群中多种暴露情况的越来越多的证据背道而驰。尽管作者们一致认为需要更全面的方法,但文献中关于暴露的多方面性质以及扩大分析范围以改进暴露评估的益处的证据不足。此外,虽然多种暴露情况通常得到认可,但关于人类化学暴露组规模的了解却很少。在此,我们说明了增加可能检测到的化学物质数量如何能改善有关暴露的信息。通过以利用头发分析评估人为有机污染物暴露的研究为中心的文献综述,我们在此首次展示了在生物监测方法中扩大分析的化合物数量如何能增强我们对化学暴露组的理解。结果不仅强调了多种暴露情况的普遍性,还揭示了不同人口群体中的独特暴露模式。利用外推的生物监测数据,我们引入了一种新方法来估计人类可能同时接触的化学物质数量。这种基于生物监测的方法是第一种依赖于从人体样本获得的数据而非销售数字或注册化学物质等间接指标的方法。最后,我们借鉴我们团队开展的研究结果来说明不同人群中暴露的局部特异性,强调在预防策略中实施风险评估时的复杂性。