Assessment of the In Vitro Phosphatidylinositol Glycan Class A (PIG-A) Gene Mutation Assay Using Human TK6 and Mouse Hepa1c1c7 Cell Lines.

IF 6.8 Q1 TOXICOLOGY Journal of Xenobiotics Pub Date : 2024-09-19 DOI:10.3390/jox14030073
Wenhao Zhang, Charles A Miller, Mark J Wilson
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Abstract

Gene mutations linked to diseases like cancer may be caused by exposure to environmental chemicals. The X-linked phosphatidylinositol glycan class A (PIG-A) gene, required for glycosylphosphatidylinositol (GPI) anchor biosynthesis, is a key target locus for in vitro genetic toxicity assays. Various organisms and cell lines may respond differently to genotoxic agents. Here, we compared the mutagenic potential of directly genotoxic ethyl methane sulfonate (EMS) to metabolically activated pro-mutagenic polycyclic aromatic hydrocarbons (PAHs). The two classes of mutagens were compared in an in vitro PIG-A gene mutation test using the metabolically active murine hepatoma Hepa1c1c7 cell line and the human TK6 cell line, which has limited metabolic capability. Determination of cell viability is required for quantifying mutagenicity. Two common cell viability tests, the MTT assay and propidium iodide (PI) staining measured by flow cytometry, were evaluated. The MTT assay overestimated cell viability in adherent cells at high benzo[a]pyrene (B[a]P) exposure concentrations, so PI-based cytotoxicity was used in calculations. The spontaneous mutation rates for TK6 and Hepa1c1c7 cells were 1.87 and 1.57 per million cells per cell cycle, respectively. TK6 cells exposed to 600 µM and 800 µM EMS showed significantly higher mutation frequencies (36 and 47 per million cells per cell cycle, respectively). Exposure to the pro-mutagen benzo[a]pyrene (B[a]P, 10 µM) did not increase mutation frequency in TK6 cells. In Hepa1c1c7 cells, mutation frequencies varied across exposure groups (50, 50, 29, and 81 per million cells per cell cycle when exposed to 10 µM B[a]P, 5-methylcholanthrene (5-MC), chrysene, or 16,000 µM EMS, respectively). We demonstrate that the choice of cytotoxicity assay and cell line can determine the outcome of the Pig-A mutagenesis assay when assessing a specific mutagen.

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利用人体 TK6 和小鼠 Hepa1c1c7 细胞系评估体外磷脂酰肌醇糖 A 类 (PIG-A) 基因突变检测法。
与癌症等疾病相关的基因突变可能是由接触环境化学物质引起的。糖基磷脂酰肌醇(GPI)锚生物合成所需的 X 连锁磷脂酰肌醇聚糖 A 类(PIG-A)基因是体外遗传毒性试验的关键目标基因座。不同的生物体和细胞系对基因毒性制剂的反应可能不同。在这里,我们比较了直接具有基因毒性的甲烷磺酸乙酯(EMS)与代谢激活的促突变多环芳烃(PAHs)的诱变潜力。在体外 PIG-A 基因突变试验中,使用代谢活跃的小鼠肝癌 Hepa1c1c7 细胞系和代谢能力有限的人类 TK6 细胞系对这两类诱变剂进行了比较。要量化诱变性,就必须测定细胞活力。我们评估了两种常见的细胞活力检测方法,即 MTT 法和通过流式细胞仪测量的碘化丙啶(PI)染色法。在苯并[a]芘(B[a]P)暴露浓度较高的情况下,MTT 试验会高估粘附细胞中的细胞活力,因此在计算中使用了基于 PI 的细胞毒性。TK6 和 Hepa1c1c7 细胞的自发突变率分别为每个细胞周期每百万细胞 1.87 和 1.57。暴露于 600 µM 和 800 µM EMS 的 TK6 细胞的突变频率明显更高(每百万细胞周期分别为 36 和 47)。暴露于促突变原苯并[a]芘(B[a]P,10 µM)不会增加 TK6 细胞的突变频率。在 Hepa1c1c7 细胞中,不同暴露组的突变频率各不相同(暴露于 10 µM B[a]P、5-甲基胆蒽(5-MC)、菊烯或 16,000 µM EMS 时,每个细胞周期的突变频率分别为每百万细胞 50、50、29 和 81 个)。我们证明,在评估特定诱变剂时,细胞毒性测定和细胞系的选择可决定 Pig-A 诱变测定的结果。
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来源期刊
CiteScore
5.30
自引率
1.70%
发文量
21
审稿时长
10 weeks
期刊介绍: The Journal of Xenobiotics publishes original studies concerning the beneficial (pharmacology) and detrimental effects (toxicology) of xenobiotics in all organisms. A xenobiotic (“stranger to life”) is defined as a chemical that is not usually found at significant concentrations or expected to reside for long periods in organisms. In addition to man-made chemicals, natural products could also be of interest if they have potent biological properties, special medicinal properties or that a given organism is at risk of exposure in the environment. Topics dealing with abiotic- and biotic-based transformations in various media (xenobiochemistry) and environmental toxicology are also of interest. Areas of interests include the identification of key physical and chemical properties of molecules that predict biological effects and persistence in the environment; the molecular mode of action of xenobiotics; biochemical and physiological interactions leading to change in organism health; pathophysiological interactions of natural and synthetic chemicals; development of biochemical indicators including new “-omics” approaches to identify biomarkers of exposure or effects for xenobiotics.
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