Literature DB >> 24455780

Cell and matrix morphology in articular cartilage from adult human knee and ankle joints suggests depth-associated adaptations to biomechanical and anatomical roles.

T M Quinn, H-J Häuselmann, N Shintani, E B Hunziker.   

Abstract

OBJECTIVE: Marked differences exist between human knee and ankle joints regarding risks and progression of osteoarthritis (OA). Pathomechanisms of degenerative joint disease may therefore differ in these joints, due to differences in tissue structure and function. Focusing on structural issues, which are design goals for tissue engineering, we compared cell and matrix morphologies in different anatomical sites of adult human knee and ankle joints.
METHODS: Osteochondral explants were acquired from knee and ankle joints of deceased persons aged 20-40 years and analyzed for cell, matrix and tissue morphology using confocal and electron microscopy (EM) and unbiased stereological methods. Morphological variations disclosing an association between joint type (knee vs ankle) and biomechanical role (convex vs concave articular surfaces) were identified by a 2-way analysis of variance (ANOVA) and a post-hoc analysis.
RESULTS: Knee cartilage exhibited higher cell densities in the superficial zone than ankle cartilage. In the transitional zone, higher cell densities were observed in association with convex vs concave articular surfaces, without significant differences between knee and ankle cartilage. Highly uniform cell and matrix morphologies were evident throughout the radial zone in the knee and ankle, regardless of tissue biomechanical role. Throughout the knee and ankle cartilage sampled, chondron density was remarkably constant at approximately 4.2 × 10(6) chondrons/cm(3).
CONCLUSION: Variation in cartilage cell and matrix morphologies with changing joint and biomechanical environments suggests that tissue structural adaptations are performed primarily by the superficial and transitional zones. Data may aid the development of site-specific cartilage tissue engineering, and help to identify conditions where OA is likely to occur.

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Mesh:

Year:  2013        PMID: 24455780

Source DB:  PubMed          Journal:  Osteoarthritis Cartilage        ISSN: 1063-4584            Impact factor:   6.576


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