• 文献标题:   Ultra-trace graphene oxide in a water environment triggers Parkinson's disease-like symptoms and metabolic disturbance in zebrafish larvae
  • 文献类型:   Article
  • 作  者:   REN CX, HU XG, LI XY, ZHOU QX
  • 作者关键词:   nanotoxicology, graphene oxide, parkinson s diseaselike symptom, zebrafish, mitochondrion, ros
  • 出版物名称:   BIOMATERIALS
  • ISSN:   0142-9612 EI 1878-5905
  • 通讯作者地址:   Nankai Univ
  • 被引频次:   42
  • DOI:   10.1016/j.biomaterials.2016.03.036
  • 出版年:   2016

▎ 摘  要

Over the past decade, the safety of nanomaterials has attracted attention due to their rapid development. The relevant health threat of these materials remains largely unknown, particularly at environmentally or biologically relevant ultra-trace concentrations. To address this, we first found that graphene oxide (GO, a carbon nanomaterial that receives extensive attention across various disciplines) at concentrations of 0.01 mu g/L-1 mu g/L induced Parkinson's disease-like symptoms in zebrafish larvae. In this model, zebrafish showed a loss of more than 90% of dopamine neurons, a 69-522% increase in Lewy bodies (alpha-synuclein and ubiquitin) and significantly disturbed locomotive activity. Moreover, it was also shown that GO was able to translocate from the water environment to the brain and localize to the nucleus of the diencephalon, thereby inducing structural and morphological damage in the mitochondria. Cell apoptosis and senescence were triggered via oxidative stress, as shown by the upregulation of caspase 8 and beta-galactosidase. Using metabolomics, we found that the upregulation of amino acid and some fatty acids (e.g. dodecanoic acid, hexadecanoic acid, octadecenoic acid, nonanoic acid, arachidonic acid, eicosanoic acid, propanoic acid and benzenedicarboxylic acid) metabolism and the downregulation of some other fatty acids (e.g. butanoic acid, phthalic acid and docosenoic acid) are linked to these Parkinson's disease-like symptoms. These findings broaden our understanding of nanomaterial safety at ultra-trace concentrations. (C) 2016 Elsevier Ltd. All rights reserved.