Autophagy inhibition-mediated epithelial-mesenchymal transition augments local myofibroblast differentiation in pulmonary fibrosis.
Charlotte HillJuanjuan LiDian LiuFranco ConfortiChristopher J BreretonLiudi YaoYilu ZhouAiman AlzetaniSerena J CheeBenjamin G MarshallSophie V FletcherDavid HancockChristian Hermann OttensmeierAndrew J SteeleJulian DownwardLuca RicheldiXin LuDonna E DaviesMark G JonesYihua WangPublished in: Cell death & disease (2019)
Idiopathic pulmonary fibrosis (IPF), the prototypic progressive fibrotic interstitial lung disease, is thought to be a consequence of repetitive micro-injuries to an ageing, susceptible alveolar epithelium. Ageing is a risk factor for IPF and incidence has been demonstrated to increase with age. Decreased (macro)autophagy with age has been reported extensively in a variety of systems and diseases, including IPF. However, it is undetermined whether the role of faulty autophagy is causal or coincidental in the context of IPF. Here, we report that in alveolar epithelial cells inhibition of autophagy promotes epithelial-mesenchymal transition (EMT), a process implicated in embryonic development, wound healing, cancer metastasis and fibrosis. We further demonstrate that this is attained, at least in part, by increased p62/SQSTM1 expression that promotes p65/RELA mediated-transactivation of an EMT transcription factor, Snail2 (SNAI2), which not only controls EMT but also regulates the production of locally acting profibrogenic mediators. Our data suggest that reduced autophagy induces EMT of alveolar epithelial cells and can contribute to fibrosis via aberrant epithelial-fibroblast crosstalk.
Keyphrases
- idiopathic pulmonary fibrosis
- epithelial mesenchymal transition
- signaling pathway
- interstitial lung disease
- transforming growth factor
- cell death
- endoplasmic reticulum stress
- oxidative stress
- pulmonary fibrosis
- transcription factor
- systemic sclerosis
- wound healing
- multiple sclerosis
- poor prognosis
- high frequency
- papillary thyroid
- risk factors
- rheumatoid arthritis
- long non coding rna
- artificial intelligence
- young adults
- deep learning
- dna binding