Department of aquatic ecology and water quality management, Wageningen University and Research, the Netherlands.
Asian School of the Environment, Nanyang Technological University, Singapore.
Environ Int. 2024 Apr;186:108504. doi: 10.1016/j.envint.2024.108504. Epub 2024 Feb 16.
Insufficient data on nano- and microplastics (NMP) hinder robust evaluation of their potential health risks. Methodological disparities and the absence of established toxicity thresholds impede the comparability and practical application of research findings. The diverse attributes of NMP, such as variations in sizes, shapes, and compositions, complicate human health risk assessment. Although probability density functions (PDFs) show promise in capturing this diversity, their integration into risk assessment frameworks is limited. Physiologically based kinetic (PBK) models offer a potential solution to bridge the gap between external exposure and internal dosimetry for risk evaluation. However, the heterogeneity of NMP poses challenges for accurate biodistribution modeling. A literature review, encompassing both experimental and modeling studies, was conducted to examine biodistribution studies of monodisperse micro- and nanoparticles. The literature search in PubMed and Scopus databases yielded 39 studies that met the inclusion criteria. Evaluation criteria were adapted from previous Quality Assurance and Quality Control (QA-QC) studies, best practice guidelines from WHO (2010), OECD guidance (2021), and additional criteria specific to NMP risk assessment. Subsequently, a conceptual framework for a comprehensive NMP-PBK model was developed, addressing the multidimensionality of NMP particles. Parameters for an NMP-PBK model are presented. QA-QC evaluations revealed that most experimental studies scored relatively well (>0) in particle characterizations and environmental settings but fell short in criteria application for biodistribution modeling. The evaluation of modeling studies revealed that information regarding the model type and allometric scaling requires improvement. Three potential applications of PDFs in PBK modeling of NMP are identified: capturing the multidimensionality of the NMP continuum, quantifying the probabilistic definition of external exposure, and calculating the bio-accessibility fraction of NMP in the human body. A framework for an NMP-PBK model is proposed, integrating PDFs to enhance the assessment of NMP's impact on human health.
纳米塑料和微塑料(NMP)的数据不足,阻碍了对其潜在健康风险的稳健评估。方法学差异和缺乏既定的毒性阈值,妨碍了研究结果的可比性和实际应用。NMP 的各种属性,如尺寸、形状和组成的变化,使人体健康风险评估变得复杂。虽然概率密度函数(PDF)有望捕捉到这种多样性,但它们在风险评估框架中的集成受到限制。基于生理学的动力学(PBK)模型提供了一种潜在的解决方案,可以弥合外部暴露与内部剂量学之间的差距,以进行风险评估。然而,NMP 的异质性对准确的生物分布建模提出了挑战。对包括实验和建模研究在内的文献进行了综述,以检查单分散微纳米颗粒的生物分布研究。在 PubMed 和 Scopus 数据库中进行的文献检索共获得了 39 项符合纳入标准的研究。评估标准是从之前的质量保证和质量控制(QA-QC)研究、世界卫生组织(2010 年)的最佳实践指南、经合组织(2021 年)的指导意见以及针对 NMP 风险评估的其他特定标准中改编而来的。随后,针对 NMP-PBK 模型的多维性,开发了一个综合 NMP-PBK 模型的概念框架。针对 NMP-PBK 模型的参数进行了介绍。QA-QC 评估结果表明,大多数实验研究在颗粒特征和环境设置方面的得分相对较高(>0),但在生物分布建模的标准应用方面得分较低。对建模研究的评估结果表明,需要改进有关模型类型和比例缩放的信息。确定了 PDF 在 NMP PBK 建模中的三个潜在应用:捕捉 NMP 连续体的多维性、量化外部暴露的概率定义以及计算人体中 NMP 的生物可及分数。提出了一个 NMP-PBK 模型框架,该框架集成了 PDF,以增强对 NMP 对人类健康影响的评估。