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二氧化钛纳米颗粒对小鼠成纤维细胞毒理学效应的代谢组学分析:从氨基酸代谢紊乱的角度

Metabolomic analysis on the toxicological effects of TiO₂ nanoparticles in mouse fibroblast cells: from the perspective of perturbations in amino acid metabolism.

作者信息

Bo Yang, Jin Chengyu, Liu Yumin, Yu Wenjuan, Kang Hongzhang

机构信息

Instrumental Analysis Center, Shanghai Jiao Tong University , Shanghai , China .

出版信息

Toxicol Mech Methods. 2014 Oct;24(7):461-9. doi: 10.3109/15376516.2014.939321. Epub 2014 Jul 15.

Abstract

Titanium dioxide nanoparticles (nano-TiO2) have been widely applied in daily life and subsequent problem on the potential health risk are raised. Studies on the toxicity of nano-TiO2 have shown that they could lead to toxic effects on human and environment. However, the mechanisms are still unclear. We investigated the change of amino acid levels in L929 cells after nano-TiO2 exposure using gas chromatography with time-of-flight mass spectrometry (GC/TOFMS)-based metabolomics approach. Spectral profiles were subjected to multivariate statistics, namely, Principal Component Analysis (PCA), and Orthogonal Projections to Latent Structures-Discriminant Analysis (OPLS-DA). Using MetaboAnalyst 2.0, it was found that 7 metabolic pathways (impact-value >0.10) among the regulated pathways were significantly perturbed. Twelve distinct amino acids are identified from these pathways, including L-α-alanine, β-alanine, glycine, L-aspartate, L-methionine, L-cysteine, glutamate, L-pyroglutamate, L-asparagine, L-glutamine, S-adenosylmethionine, and L-lysine. These results show that the disturbed amino acids played an important role in the nano-TiO2-induced cytotoxicity. Along with earlier findings, we successfully used the metabolomics approaches to manifest nano-TiO2 toxicity through triggering cellular oxidative stress, energy damage and the inhibition of DNA and RNA synthesis.

摘要

二氧化钛纳米颗粒(纳米TiO₂)已在日常生活中广泛应用,随之引发了其潜在健康风险的问题。对纳米TiO₂毒性的研究表明,它们可能对人类和环境产生毒性作用。然而,其作用机制仍不清楚。我们使用基于气相色谱-飞行时间质谱(GC/TOFMS)的代谢组学方法,研究了纳米TiO₂暴露后L929细胞中氨基酸水平的变化。对光谱图进行多元统计分析,即主成分分析(PCA)和正交投影到潜在结构判别分析(OPLS-DA)。使用MetaboAnalyst 2.0发现,在受调控的途径中,有7条代谢途径(影响值>0.10)受到显著干扰。从这些途径中鉴定出12种不同的氨基酸,包括L-α-丙氨酸、β-丙氨酸、甘氨酸、L-天冬氨酸、L-甲硫氨酸、L-半胱氨酸、谷氨酸、L-焦谷氨酸、L-天冬酰胺、L-谷氨酰胺、S-腺苷甲硫氨酸和L-赖氨酸。这些结果表明,受干扰的氨基酸在纳米TiO₂诱导的细胞毒性中起重要作用。与早期研究结果一致,我们成功地使用代谢组学方法,通过引发细胞氧化应激、能量损伤以及抑制DNA和RNA合成来揭示纳米TiO₂的毒性。

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