School of Material Science and Engineering, Nanjing University, Jiangsu, China.
Department of Chemistry, College of Science, Imam Abdulrahman Bin Faisal University, 31441, Dammam, Saudi Arabia; Basic and Applied Scientific Research Center, Imam Abdulrahman Bin Faisal University, 31441, Dammam, Saudi Arabia.
Chemosphere. 2021 Jan;262:128058. doi: 10.1016/j.chemosphere.2020.128058. Epub 2020 Aug 23.
Owing to the superlative properties, engineered nanomaterials (ENM) are being used in food, cosmetics, medicine, and electronics. Therefore, exogenous ENM can be housed into humans through a multitude of exposure routes, leading to compromise of the biomolecules' functionalities through structural deformations, and even at the metabolic level. Consequently, it is of great importance to understand the perturbations introduced at the metabolic level for the timely risk assessment (RA) of ENM. Current technological advancements in metabolomics empower us to visualize the metabolic dysregulations in biological cells, tissues, and living objects, instigated by the ENM. Given the fact, we propose multitiered untargeted metabolomics for the risk assessment of ENM. We propose largely validated experimental design principles that enable the well-organized and authentic identification of metabolic dysregulation connected with a newly engineered nanomaterial. Our scheme could participate in the enhanced transparency of the RA course of rapidly emerging ENM.
由于具有卓越的性能，工程纳米材料（ENM）正在被应用于食品、化妆品、医药和电子等领域。因此，外源性的 ENM 可以通过多种暴露途径进入人体，导致生物分子的功能通过结构变形甚至在代谢水平上受到损害。因此，了解代谢水平上引入的干扰对于及时进行 ENM 的风险评估（RA）非常重要。代谢组学领域的当前技术进步使我们能够可视化由 ENM 引发的生物细胞、组织和活体对象的代谢失调。鉴于这一事实，我们提出了用于 ENM 风险评估的多层次非靶向代谢组学。我们提出了经过大量验证的实验设计原则，能够对与新型工程纳米材料相关的代谢失调进行有组织和真实的鉴定。我们的方案可以参与到新兴 ENM 的 RA 过程的增强透明度中。
