Lung Toxicity and Molecular Mechanisms of Lead-Based Perovskite Nanoparticles in the Respiratory System.
Xuefeng DingRendong HeTingjun ZhangLinqiang MeiShuang ZhuChengyan WangYou LiaoDongmei WangHao WangJunsong GuoLi ChenZhanjun GuHouxiang HuPublished in: ACS applied materials & interfaces (2023)
Lead-based perovskite nanoparticles (Pb-PNPs) have found extensive applications across diverse fields. However, because of poor stability and relatively strong water solubility, the potential toxicity of Pb-PNPs released into the environment during their manufacture, usage, and disposal has attracted significant attention. Inhalation is a primary route through which human exposure to Pb-PNPs occurs. Herein, the toxic effects and underlying molecular mechanisms of Pb-PNPs in the respiratory system are investigated. The in vitro cytotoxicity of CsPbBr 3 nanoparticles in BEAS-2B cells is studied using multiple bioassays and electron microscopy. CsPbBr 3 nanoparticles of different concentrations induce excessive oxidative stress and cell apoptosis. Furthermore, CsPbBr 3 nanoparticles specifically recruit the TGF-β1, which subsequently induces epithelial-mesenchymal transition. In addition, the biodistribution and lung toxicity of representative CsPbBr 3 nanoparticles in ICR mice are investigated following intranasal administration. These findings indicate that CsPbBr 3 nanoparticles significantly induce pulmonary inflammation and epithelial-mesenchymal transition and can even lead to pulmonary fibrosis in mouse models. Above findings expose the adverse effects and molecular mechanisms of Pb-PNPs in the lung, which broadens the safety data of Pb-PNPs.
Keyphrases
- oxidative stress
- epithelial mesenchymal transition
- heavy metals
- transforming growth factor
- walled carbon nanotubes
- endothelial cells
- working memory
- aqueous solution
- dna damage
- risk assessment
- pulmonary fibrosis
- ischemia reperfusion injury
- body mass index
- mouse model
- electron microscopy
- mass spectrometry
- induced apoptosis
- climate change
- cross sectional
- skeletal muscle
- electronic health record
- high resolution
- respiratory tract
- deep learning
- big data
- weight gain
- human health
- positron emission tomography
- data analysis
- solar cells
- water soluble