Monitoring wound healing of burn in rat model using human Wharton’s jelly mesenchymal stem cells containing cGFP integrated by lentiviral vectors

Document Type : Original Article


1 Burn and Wound Healing Research Center, Shiraz University of Medical Science, Shiraz, Iran

2 Nour Danesh Institute of Higher Education, Isfahan, Iran

3 Diagnostic Laboratory Sciences and Technology Research Center, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran


Objective(s): Human Wharton’s Jelly mesenchymal stem cells (hWMSCs) are undifferentiated cells commonly used in regenerative medicine. The aim of this study was to develop a reliable tool for tracking hWMSCs when utilized as therapeutics in burnt disorders and also to optimize the cell-based treatment procedure.
Materials and Methods: The hWMSCs were first isolated from fresh umbilical cord Wharton’s jelly and cultured. The 293LTV cell line was transfected by cGFP containing lentiviral vector and the helper plasmids for production of the viral particle. The viral particles were collected to transduce the hWMSCs. The transduced cells were finally selected based on resistance to puromycin. The burned rats (n=24) were treated with cGFP expressing hWMSCs using the cell spray method, with the cells being tracked 7, 14 and 21 days later. The rats were sacrificed 7, 14 and 21 days following treatment and paraffin embedded sections prepared from the burned area for downstream pathological analyses.
Results: The lentiviral particles carrying the cGFP gene were generated and the hWMSCs were transduced. The cGFP-expressing hWMSCs were detected in the burned tissue and the burned injuries were improved dramatically as compared to control.
Conclusion: Because of the establishment of stably transduced cGFP expressing cells and the ability to detect cGFP for a relatively long-time interval, the method was found to be quite efficient for the purpose of cell tracking. The combination of hWMSC-based cell therapy and sterile Gauze Vaseline (GV) as covering was proven much more efficient than the traditional methods based on GV alone.


Main Subjects

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