Work

Novel approach to deliver cells in fibrin beads

Year: 2018
Type: article
Abstract: There are many approaches to deliver cells to treat wounds, but a very recent approach is to deliver cells by allowing them to adhere to the outside of 3D fibrin beads. Previous models use the fabrication methods of these fibrin beads that involve heat and potentially harmful solvents. In this study, we were able to create a novel approach to deliver cells by incorporating the cells inside the 3D fibrin beads without the use of harmful solvents or heat. In this novel technique, fibroblasts and keratinocytes were encapsulated within the fibrin microbeads and the migration and proliferation of these cells on 3D collagen constructs or in the newly established 3D wound healing model (paper in progress) were examined for up to 1 week. Three different models for fibrin analysis were created and examined: fibrin beads containing cells of either keratinocytes or fibroblasts on a cell culture plate, beads on a layer of 3D fibrin constructs of different fibrinogen and thrombin concentrations, and finally the fibrin beads were placed between two layers of 3D fibrin constructs. The results for cell migration and proliferation showed that each cell behaves differently on certain surfaces. Fibroblasts and keratinocytes incorporated in fibrin beads migrated and proliferated best on the culture dishes. Both cell types migrated the slowest when the fibrin beads containing these cells were placed between 2 layers of 3D fibrin constructs by average of 60 and 95 micrometers, respectively. In conclusion, using this novel approach of delivering cells using fibrin beads is a tunable microenvironment that sustains and optimizes the performance of each cell type implanted into a wound-healing model. For future work, these microbeads will be implanted into a more realistic wound-healing model which will lead to a greater understanding in the wound healing field
Language: English
Subfield: Rehabilitation
Field: Medicine
Open Access status: hybrid
OpenAlex ID: W2936439867
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