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Metabolomics study on the cytotoxicity of graphene

机译:代谢组学研究石墨烯的细胞毒性

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Graphene has attracted enormous attention due to its unique and novel properties, showing great potential in different fields including biomedical engineering, tissue engineering, and biosensors. Thus, systematic investigation of the cytotoxicity of graphene is crucial for further clinical use. However, there have been numerous contradictory reported results about the biocompatibility and cytotoxicity of graphene based on conventional in vitro toxicity test methods. We herein report a metabolomics approach to investigate the metabolic responses on graphene treated HepG2. Multivariate data analytic approaches reflected the significant difference in metabolic profiles between graphene-treated groups and the control group. According to the results of analysis of variance (ANOVA), twelve metabolites were detected as potential biomarkers. Moreover, three KEGG pathways including arginine and proline metabolism, purine metabolism, and glycophospholipid metabolism were identified. Our findings demonstrated that metabolomics would be an efficient platform to understand the molecular mechanism of cytotoxicity of graphene.
机译:石墨烯因其独特而新颖的性能而备受关注,在生物医学工程,组织工程和生物传感器等不同领域显示出巨大的潜力。因此,系统研究石墨烯的细胞毒性对于进一步的临床应用至关重要。然而,基于常规的体外毒性试验方法,关于石墨烯的生物相容性和细胞毒性已有许多相互矛盾的报道结果。我们在此报告了一种代谢组学方法来研究石墨烯处理的HepG2的代谢反应。多元数据分析方法反映了石墨烯治疗组与对照组之间代谢曲线的显着差异。根据方差分析(ANOVA)的结果,检测到十二种代谢物作为潜在的生物标记。此外,确定了三个KEGG途径,包括精氨酸和脯氨酸代谢,嘌呤代谢和糖脂代谢。我们的发现表明,代谢组学将成为了解石墨烯细胞毒性分子机制的有效平台。

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