LncRNA MEG3 mediates nickel oxide nanoparticles-induced pulmonary fibrosis via suppressing TGF-β1 expression and epithelial-mesenchymal transition process.
Haibing ZhanXuhong ChangXiaoxia WangMengmeng YangQing GaoHan LiuChengyun LiSheng LiXingchang SunPublished in: Environmental toxicology (2021)
Nickel oxide nanoparticles (NiO NPs) causes pulmonary fibrosis via activating transforming growth factor-β1 (TGF-β1) in rats, but its upstream regulatory mechanisms are unknown. This study aimed to explore the role of long noncoding RNA (lncRNA) maternally expressed gene 3 (MEG3) in NiO NPs-induced collagen deposition. Male Wistar rats were intratracheally instilled with NiO NPs (0.015, 0.06, and 0.24 mg/kg b.w.) twice a week for 9 weeks. Human lung adenocarcinoma epithelial cells (A549 cells) were cultured with NiO NPs (25, 50, and 100 μg/ml) to establish collagen deposition model. We discovered that NiO NPs-induced rat pulmonary fibrosis was accompanied by the epithelial-mesenchymal transition (EMT) occurrence and MEG3 down-regulation in rat lung tissues. In cell collagen deposition model, NiO NPs also evoked EMT and decreased MEG3 expression in a dose-dependent manner in A549 cells. By overexpressing MEG3 in A549 cells, we found that MEG3 inhibited the level of TGF-β1, EMT process and collagen formation. Moreover, our data showed that SB431542 (TGF-β1 inhibitor) had an inhibitory effect on NiO NPs-induced EMT and collagen formation. Our results indicated that MEG3 inhibited NiO NPs-induced collagen deposition by regulating TGF-β1-mediated EMT process, which may provide some clues for insighting into the mechanisms of NiO NPs-induced pulmonary fibrosis.
Keyphrases
- epithelial mesenchymal transition
- transforming growth factor
- oxide nanoparticles
- pulmonary fibrosis
- high glucose
- signaling pathway
- diabetic rats
- endothelial cells
- induced apoptosis
- long noncoding rna
- oxidative stress
- poor prognosis
- cell cycle arrest
- bone marrow
- randomized controlled trial
- long non coding rna
- genome wide
- clinical trial
- cell death
- machine learning
- pi k akt
- reduced graphene oxide
- deep learning
- study protocol
- induced pluripotent stem cells