再生(生物学)
肌腱
转基因生物
解剖
基因
生物
医学
细胞生物学
遗传学
作者
Lawrence V. Gulotta,David Kovacevic,Scott R. Montgomery,John R. Ehteshami,Jonathon D. Packer,Scott A. Rodeo
标识
DOI:10.1177/0363546510361235
摘要
Background: Rotator cuffs heal through a scar tissue interface after repair, which makes them prone to failure. Membrane type 1 matrix metalloproteinase (MT1-MMP) is upregulated during embryogenesis in areas that develop into tendon-bone insertion sites. Hypothesis: Bone marrow-derived stem cells in the presence of the developmental signal from MT1-MMP will drive the healing process toward regeneration and away from scar formation. Study Design: Controlled laboratory study. Methods: Sixty Lewis rats underwent unilateral detachment and repair of the supraspinatus tendon. Thirty animals received mesenchymal stem cells (MSCs) in a fibrin glue carrier, and 30 received adenoviral MT1-MMP (Ad-MT1-MMP)–transduced MSCs. Animals were sacrificed at 2 weeks and 4 weeks and evaluated for the presence of fibrocartilage and collagen fiber organization at the insertion. Biomechanical testing was performed to determine the structural and material properties of the repaired tissue. Statistical analysis was performed with a Wilcoxon rank-sum test with significance set at P = .05. Results: There were no differences between the Ad-MT1-MMP and MSC groups in any outcome variable at 2 weeks. At 4 weeks, the Ad-MT1-MMP group had more fibrocartilage ( P = .05), higher ultimate load to failure ( P = .01), higher ultimate stress to failure ( P = .005), and higher stiffness values ( P = .02) as compared with the MSC group. Conclusion: Mesenchymal stem cells genetically modified to overexpress the developmental gene MT1-MMP can augment rotator cuff healing at 4 weeks by the presence of more fibrocartilage at the insertion and improved biomechanical strength. Clinical Relevance: Biologic augmentation of repaired rotator cuffs with MT1-MMP–transduced MSCs may reduce the incidence of retears. However, further studies are needed to determine if this remains safe and effective in larger models.
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