Dental follicle cells show potential for treating Parkinson's disease through dopaminergic-neuronogenic differentiation.
Fei BiJie XiongXue HanChao YangXinghan LiGuoqing ChenWeihua GuoWeidong TianPublished in: Human cell (2022)
Among all the adult stem cells, odontogenic stem cells inherit the characterization of neurogenic potential of their precursor ones-the cranial crest cells. Dental follicle cells (DFCs), one of the special kind of odontogenic stem cells, are raising interest in applying to regenerative medicine for they possess multi-differentiation potential, relatively free access and ethic-friendly characteristic. Parkinson's disease (PD), as one of the common neurodegenerative disorders, affects about 0.3% of the general population. Stem cell therapies are thought to be effective to treat it. Aiming at tackling ethical-concernings, confined sources and practically applicational limits, we made use of dopaminergic neurongenic differentiation potential of the DFCs and dedicated every effort to applying them as promising cell source for treating PD. Dental follicle cells were cultured from human dental follicle tissues collected from 12 to 18-year-old teenagers' completely impacted third molars. Our data demonstrated that hDFCs were expressing mesenchymal stem cell-associated surface markers, and possessed the ability of osteogenic, adipogenic and neurogenic differentiation in vitro. Additionally, hDFCs formed neuron-like cells in vitro and in vivo, as well as expressing dopaminergic-neuronogenic marker-TH. Moreover, hDFCs survived in the transplanted areas of the Parkinson's disease model of mouse over six weeks post-surgery, and the number of TH-positive DFCs in the DFCs-Grafted group surpassed its counterpart of the MPTP group with statistically significant difference. This study indicated that hDFCs might be a promising source of dopaminergic neurons for functional transplantation, and encouraged further detailed studies on the potential of hDFCs for treating PD.
Keyphrases
- stem cells
- induced apoptosis
- cell cycle arrest
- cell therapy
- spinal cord injury
- endothelial cells
- endoplasmic reticulum stress
- gene expression
- minimally invasive
- oxidative stress
- coronary artery disease
- climate change
- signaling pathway
- machine learning
- cell proliferation
- atrial fibrillation
- drinking water
- big data
- artificial intelligence
- pi k akt