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利用人诱导多能干细胞衍生的肝细胞和心肌细胞的表型和转录组数据,对全氟和多氟烷基物质进行基于风险的优先级排序。

Risk-based prioritization of PFAS using phenotypic and transcriptomic data from human induced pluripotent stem cell-derived hepatocytes and cardiomyocytes.

作者信息

Tsai Han-Hsuan D, Ford Lucie C, Chen Zunwei, Dickey Allison N, Wright Fred A, Rusyn Ivan

机构信息

Interdisciplinary Faculty of Toxicology, College Station, TX, USA.

Department of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, TX, USA.

出版信息

ALTEX. 2024;41(3):363-381. doi: 10.14573/altex.2311031. Epub 2024 Feb 22.

Abstract

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.

摘要

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。

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