Pathophysiological Roles of Stress-Activated Protein Kinases in Pulmonary Fibrosis.
Yoshitoshi KasuyaJun-Dal KimMasahiko HatanoKoichiro TatsumiShuichi MatsudaPublished in: International journal of molecular sciences (2021)
Idiopathic pulmonary fibrosis (IPF) is one of the most symptomatic progressive fibrotic lung diseases, in which patients have an extremely poor prognosis. Therefore, understanding the precise molecular mechanisms underlying pulmonary fibrosis is necessary for the development of new therapeutic options. Stress-activated protein kinases (SAPKs), c-Jun N-terminal kinase (JNK), and p38 mitogen-activated protein kinase (p38) are ubiquitously expressed in various types of cells and activated in response to cellular environmental stresses, including inflammatory and apoptotic stimuli. Type II alveolar epithelial cells, fibroblasts, and macrophages are known to participate in the progression of pulmonary fibrosis. SAPKs can control fibrogenesis by regulating the cellular processes and molecular functions in various types of lung cells (including cells of the epithelium, interstitial connective tissue, blood vessels, and hematopoietic and lymphoid tissue), all aspects of which remain to be elucidated. We recently reported that the stepwise elevation of intrinsic p38 signaling in the lungs is correlated with a worsening severity of bleomycin-induced fibrosis, indicating an importance of this pathway in the progression of pulmonary fibrosis. In addition, a transcriptome analysis of RNA-sequencing data from this unique model demonstrated that several lines of mechanisms are involved in the pathogenesis of pulmonary fibrosis, which provides a basis for further studies. Here, we review the accumulating evidence for the spatial and temporal roles of SAPKs in pulmonary fibrosis.
Keyphrases
- pulmonary fibrosis
- idiopathic pulmonary fibrosis
- induced apoptosis
- poor prognosis
- cell cycle arrest
- cell death
- end stage renal disease
- endoplasmic reticulum stress
- signaling pathway
- multiple sclerosis
- gene expression
- chronic kidney disease
- ejection fraction
- bone marrow
- binding protein
- peritoneal dialysis
- deep learning
- artificial intelligence
- protein kinase
- rna seq
- big data
- high glucose