Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR 97331, USA.
Pacific Northwest National Laboratory, Biological Sciences Division, Richland, WA 99354, USA.
Int J Environ Res Public Health. 2022 Mar 23;19(7):3829. doi: 10.3390/ijerph19073829.
A 2019 retrospective study analyzed wristband personal samplers from fourteen different communities across three different continents for over 1530 organic chemicals. Investigators identified fourteen chemicals (G14) detected in over 50% of personal samplers. The G14 represent a group of chemicals that individuals are commonly exposed to, and are mainly associated with consumer products including plasticizers, fragrances, flame retardants, and pesticides. The high frequency of exposure to these chemicals raises questions of their potential adverse human health effects. Additionally, the possibility of exposure to mixtures of these chemicals is likely due to their co-occurrence; thus, the potential for mixtures to induce differential bioactivity warrants further investigation. This study describes a novel approach to broadly evaluate the hazards of personal chemical exposures by coupling data from personal sampling devices with high-throughput bioactivity screenings using in vitro and non-mammalian in vivo models. To account for species and sensitivity differences, screening was conducted using primary normal human bronchial epithelial (NHBE) cells and early life-stage zebrafish. Mixtures of the G14 and most potent G14 chemicals were created to assess potential mixture effects. Chemical bioactivity was dependent on the model system, with five and eleven chemicals deemed bioactive in NHBE and zebrafish, respectively, supporting the use of a multi-system approach for bioactivity testing and highlighting sensitivity differences between the models. In both NHBE and zebrafish, mixture effects were observed when screening mixtures of the most potent chemicals. Observations of BMC-based mixtures in NHBE (NHBE BMC Mix) and zebrafish (ZF BMC Mix) suggested antagonistic effects. In this study, consumer product-related chemicals were prioritized for bioactivity screening using personal exposure data. High-throughput high-content screening was utilized to assess the chemical bioactivity and mixture effects of the most potent chemicals.
2019 年的一项回顾性研究分析了来自三大洲 14 个不同社区的 1530 多种有机化学物质的腕带个人采样器。研究人员确定了在超过 50%的个人采样器中检测到的 14 种化学物质(G14)。G14 代表了一组人们通常会接触到的化学物质,主要与消费品有关,包括增塑剂、香料、阻燃剂和杀虫剂。这些化学物质频繁暴露会引起人们对其潜在不良健康影响的质疑。此外,由于这些化学物质的共同存在,人们有可能接触到这些化学物质的混合物,因此,混合物可能引起不同的生物活性,这需要进一步研究。本研究描述了一种新方法,通过将个人采样器的数据与使用体外和非哺乳动物体内模型进行的高通量生物活性筛选相结合,广泛评估个人化学暴露的危害。为了考虑物种和敏感性差异,筛选使用原代正常人类支气管上皮细胞(NHBE)和早期生命阶段斑马鱼进行。创建了 G14 混合物和最有效的 G14 化学物质混合物,以评估潜在的混合物效应。化学物质的生物活性取决于模型系统,在 NHBE 和斑马鱼中分别有 5 种和 11 种化学物质被认为具有生物活性,这支持了使用多系统方法进行生物活性测试,并突出了模型之间的敏感性差异。在 NHBE 和斑马鱼中,当筛选最有效的化学物质的混合物时,观察到了 BMC 混合物的效应。在 NHBE(NHBE BMC Mix)和斑马鱼(ZF BMC Mix)中观察到基于 BMC 的混合物的观察结果表明存在拮抗作用。在这项研究中,使用个人暴露数据对生物活性筛选优先考虑了与消费者产品相关的化学物质。利用高通量高内涵筛选来评估最有效的化学物质的化学生物活性和混合物效应。