Schisandrin B attenuates epidural fibrosis in postlaminectomy rats by inhibiting proliferation and extracellular matrix production of fibroblasts.
Haiming JinZhen WangZenan GuJianwei WuXueqin BaiZhenxuan ShaoJiansen MiaoQingqing WangQuan WangXiang-Yang WangPublished in: Phytotherapy research : PTR (2018)
Laminectomy has been widely considered one of the most common treatments for lumbar disorders. Epidural fibrosis (EF) is a common complication after laminectomy, causing recurrent postoperative pain. Schisandrin B (Sch.B), the active ingredient extracted from Schisandra chinensis Fructus, has been found to have potent antiproliferative and antifibrotic effects on several cells. This study aimed to investigate the effects of Sch.B on the prevention of postlaminectomy EF formation. In vitro, we studied the effects of Sch.B on transforming growth factor beta 1 (TGF-β1)-induced proliferation and extracellular matrix (ECM) production of primary fibroblasts, as well as its underlying mechanism. We found that Sch.B not only inhibited the proliferation of fibroblasts but also reduced ECM production, including that of connective tissue growth factor, fibronectin, and type I collagen, in a dose-dependent manner. Mechanistically, we found that Sch.B suppressed TGF-β1-stimulated activation of the Smad2/3 and mitogen-activated protein kinase pathways. Moreover, the in vivo study demonstrated that Sch.B treatment attenuated the progression of EF in a postlaminectomy rat model via reducing the cell number and ECM production of scar tissue. Taken together, these data suggested that Sch.B possesses great potential value as a preventative agent for EF.
Keyphrases
- extracellular matrix
- transforming growth factor
- epithelial mesenchymal transition
- growth factor
- signaling pathway
- induced apoptosis
- postoperative pain
- spinal cord
- single cell
- minimally invasive
- stem cells
- risk assessment
- cell cycle arrest
- cell death
- spinal cord injury
- electronic health record
- pi k akt
- climate change
- high glucose
- combination therapy
- mesenchymal stem cells
- deep learning
- big data
- diabetic rats
- drug induced
- data analysis