Can Human Oral Mucosa Stem Cells Differentiate to Corneal Epithelia?
Sonia LópezLía HozEda Patricia TenorioBeatriz BuentelloFátima Sofía MagañaAna WintergerstAlejandro NavasYonathan GarfiasHiginio ArzatePublished in: International journal of molecular sciences (2021)
Human oral mucosa stem cells (hOMSCs) arise from the neural crest, they can self-renew, proliferate, and differentiate to several cell lines and could represent a good source for application in tissue engineering. Because of their anatomical location, hOMSCs are easy to isolate, have multilineage differentiation capacity and express embryonic stem cells markers such as-Sox2, Oct3/4 and Nanog. We have used SHEM (supplemented hormonal epithelial medium) media and cultured hOMSCs over human amniotic membrane and determined the cell's capacity to differentiate to an epithelial-like phenotype and to express corneal specific epithelial markers-CK3, CK12, CK19, Pan-cadherin and E-cadherin. Our results showed that hOMSCs possess the capacity to attach to the amniotic membrane and express CK3, CK19, Pan-Cadherin and E-Cadherin without induction with SHEM media and expressed CK12 or changed the expression pattern of E-Cadherin to a punctual-like feature when treated with SHEM media. The results observed in this study show that hOMSCs possess the potential to differentiate toward epithelial cells. In conclusion, our results revealed that hOMSCs readily express markers for corneal determination and could provide the ophthalmology field with a therapeutic alternative for tissue engineering to achieve corneal replacement when compared with other techniques. Nevertheless, further studies are needed to develop a predictable therapeutic alternative for cornea replacement.
Keyphrases
- stem cells
- tissue engineering
- endothelial cells
- protein kinase
- optical coherence tomography
- induced pluripotent stem cells
- wound healing
- cell therapy
- poor prognosis
- cataract surgery
- artificial intelligence
- machine learning
- deep learning
- metabolic syndrome
- transcription factor
- climate change
- high resolution
- adipose tissue
- diabetic retinopathy
- long non coding rna
- solid phase extraction
- umbilical cord
- optic nerve