Transplant of insulin-like growth factor-1 expressing bone marrow stem cells improves functional regeneration of injured rat uterus by NF-κB pathway.
Lei WangMengnan YangMinfei JinYuelin WuTao ZhengShengyi GuXiao-Lin HuaPublished in: Journal of cellular and molecular medicine (2018)
To investigate the potential beneficial effect of insulin-like growth factor-1 (IGF-1) in BMSC transplantation therapy of uterus injury and the underlying molecular mechanisms, rat BMSCs were isolated and cultured. The relative expressions of IGF-1 and IL-10 were determined by RT-PCR and immunoblotting. The secretory IL-10 and released E2 were measured using ELISA kits. The relative vWF and α-SMA expressions were determined by immunohistochemistry. The direct binding of NF-κB subunit p50 with IL-10 promoter was analysed by chromatin immunoprecipitation assay. The regulation of IL-10 expression by p50 was interrogated by luciferase reporter assay. Our data demonstrated that IGF-1 expression in BMSCs induced IL-10 expression and secretion, which was further enhanced by E2-PLGA. IGF-1 overexpression improved BMSCs transplantation therapy in rat uterus injury. We further demonstrated that both inhibition and knockdown of p50 abolished IGF-1-induced expression and secretion of IL-10 in BMSCs, which consequently compromised the IGF-1 conferred therapeutic benefits against uterus injury. Furthermore, we elucidated that p50 regulated IL-10 expression via direct association with its promoter. Our data suggested that transplantation of IGF-1 overexpressing BMSCs improved functional regeneration of injured uterus by inducing IL-10 expression and secretion via activation of NF-κB signalling.
Keyphrases
- binding protein
- poor prognosis
- pi k akt
- stem cells
- growth hormone
- signaling pathway
- oxidative stress
- transcription factor
- bone marrow
- gene expression
- cell proliferation
- long non coding rna
- dna methylation
- mesenchymal stem cells
- nuclear factor
- high glucose
- dna damage
- high throughput
- crispr cas
- immune response
- diabetic rats
- deep learning
- single cell
- electronic health record
- drug induced
- human health
- real time pcr