Simple oral mucosal epithelial transplantation in a rabbit model
Aya Inamochi1, Akiko Tomioka2, Kohdai Kitamoto1
1Department of Ophthalmology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Scientific Reports
|December 4, 2019
Summary
Autologous simple oral mucosal epithelium transplantation (SOMET) successfully restored the ocular surface in a rabbit model of limbal stem cell deficiency (LSCD). This sutureless technique shows promise for treating ocular surface diseases.
Area of Science:
- Ophthalmology
- Regenerative Medicine
- Tissue Engineering
Background:
- Limbal stem cell deficiency (LSCD) impairs corneal epithelial maintenance, leading to visual impairment.
- Current treatments for LSCD can be invasive or require complex cell culturing.
- There is a need for simpler, effective methods for ocular surface reconstruction.
Purpose of the Study:
- To evaluate the efficacy of autologous simple oral mucosal epithelium transplantation (SOMET) in a rabbit model of LSCD.
- To assess the potential of SOMET as a straightforward surgical option for ocular surface repair.
Main Methods:
- LSCD was induced in rabbits, divided into SOMET and control groups.
- Oral mucosa grafts were prepared and placed onto the corneal stroma without sutures, amniotic membrane, or glue.
- Postoperative outcomes, including neovascularization and epithelial defects, were assessed via slit lamp microscopy and immunohistochemistry.
Main Results:
- SOMET group showed complete LSCD recovery with reduced neovascularization and staining scores.
- Histological analysis revealed stratified K3/K13-positive cells, indicating successful epithelialization in the SOMET group.
- Control group eyes exhibited persistent corneal epithelial defects at 2 weeks.
Conclusions:
- SOMET effectively achieved corneal re-epithelialization in a rabbit LSCD model.
- The technique is simple, sutureless, and does not require cell culture.
- SOMET presents a promising approach for ocular surface reconstruction, particularly in cases of bilateral LSCD.


