Osteoarthritis, a degenerative disease of articular cartilage and the leading cause of disability, is preceded by acute cartilage injury in a significant proportion of cases. Current auto- and allograft interventions are limited by supply and variability in therapeutic efficacy, prompting interest in tissue engineering solutions. Cell sheet tissue engineering, a scaffold-free regenerative technique, has shown promise in preclinical and clinical trials across various cell types and diseases. Polydactyly-derived juvenile cartilage-derived chondrocyte (JCC) sheets from juvenile patients are a potent cell source for developing allogeneic therapies. JCC sheets have proven safe and effective in animal models and as an add-on therapy in a recent clinical cartilage repair study. However, JCC expansion leads to de-differentiation, contributing to long healing times. This study hypothesized that differentiation of JCC sheets into hyaline-like cartilage constructs could accelerate cartilage regeneration without compromising implant integration. To this end, sheet integration, maturation, and healing of conventionally prepared vs. differentiated JCC sheets were compared in an established nude rat focal chondral defect model. Differentiated JCC sheets exhibit mature cartilage phenotypes prior to transplant. Both conventional and differentiated JCC sheets are reliably transplanted without additional fixation. Histological evaluation reveals that both transplant groups produced equivalent neocartilage regeneration, filling defects with mature hyaline cartilage at 2- and 4-weeks post-transplant. Notably, differentiated JCC sheets respond to signals, undergoing matrix remodeling and integration with adjacent and subchondral tissue. Given equivalent healing outcomes, the future utility of JCC sheet predifferentiation from other JCC donors with different healing capacities should be balanced against their increased culture costs over conventional sheets.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1089/ten.tea.2024.0208 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!