Tsai Han-Hsuan D, Ford Lucie C, Chen Zunwei, Dickey Allison N, Wright Fred A, Rusyn Ivan
Interdisciplinary Faculty of Toxicology, College Station, TX, USA.
Department of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, TX, USA.
ALTEX. 2024;41(3):363-381. doi: 10.14573/altex.2311031. Epub 2024 Feb 22.
Per- and polyfluoroalkyl substances (PFAS) are chemicals with important applications; they are persistent in the environment and may pose human health hazards. Regulatory agencies are considering restrictions and bans of PFAS; however, little data exists for informed decisions. Several prioritization strategies were proposed for evaluation of potential hazards of PFAS. Structure-based grouping could expedite the selection of PFAS for testing; still, the hypothesis that structure-effect relationships exist for PFAS requires confirmation. We tested 26 structurally diverse PFAS from 8 groups using human induced pluripotent stem cell-derived hepatocytes and cardiomyocytes, and tested concentration-response effects on cell function and gene expression. Few phenotypic effects were observed in hepatocytes, but negative chronotropy was observed in cardiomyocytes for 8 PFAS. Substance- and cell type-dependent transcriptomic changes were more prominent but lacked substantial group-specific effects. In hepatocytes, we found upregulation of stress-related and extracellular matrix organization pathways, and down-regulation of fat metabolism. In cardiomyocytes, contractility-related pathways were most affected. We derived phenotypic and transcriptomic points of departure and compared them to predicted PFAS exposures. Conservative estimates for bioactivity and exposure were used to derive a bioactivity-to-exposure ratio (BER) for each PFAS; 23 of 26 PFAS had BER > 1. Overall, these data suggest that structure-based PFAS grouping may not be sufficient to predict their biological effects. Testing of individual PFAS may be needed for scientifically-supported decision-making. Our proposed strategy of using two human cell types and considering phenotypic and transcriptomic effects, combined with dose-response analysis and calculation of BER, may be used for PFAS prioritization.
全氟和多氟烷基物质(PFAS)是具有重要应用的化学物质;它们在环境中具有持久性,可能对人类健康构成危害。监管机构正在考虑对PFAS进行限制和禁令;然而,缺乏用于做出明智决策的数据。针对PFAS潜在危害的评估提出了几种优先排序策略。基于结构的分组可以加快PFAS测试的选择;尽管如此,PFAS存在结构-效应关系这一假设仍需证实。我们使用人类诱导多能干细胞衍生的肝细胞和心肌细胞测试了来自8个组的26种结构多样的PFAS,并测试了对细胞功能和基因表达的浓度-反应效应。在肝细胞中未观察到明显的表型效应,但在心肌细胞中观察到8种PFAS具有负性变时性。物质和细胞类型依赖性的转录组变化更为显著,但缺乏实质性的组特异性效应。在肝细胞中,我们发现应激相关和细胞外基质组织途径上调,脂肪代谢下调。在心肌细胞中,与收缩性相关的途径受影响最大。我们得出了表型和转录组的起始点,并将它们与预测的PFAS暴露进行比较。使用生物活性和暴露的保守估计来计算每种PFAS的生物活性与暴露比(BER);26种PFAS中有23种的BER>1。总体而言,这些数据表明基于结构的PFAS分组可能不足以预测其生物学效应。可能需要对单个PFAS进行测试以做出有科学依据的决策。我们提出的使用两种人类细胞类型并考虑表型和转录组效应,结合剂量-反应分析和BER计算的策略,可用于PFAS的优先排序。