ArticleOsteoarthritis and cartilage2020
Human articular cartilage is orthotropic where microstructure, micromechanics, and chemistry vary with depth and split-line orientation.
Article in Osteoarthritis and cartilage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
11 citing papers in PubMed, 27 citations in OpenAlex.
- Stage-specific MSC spheroid fusion enables bottom-up formation of stage-defined hierarchical cartilage graft.Materials today. Bio · 2026Article
- Natural Biomaterials for Osteochondral Repair: From Source to Strategy.Advanced healthcare materials · 2026Review
- A versatile platform based on matrix metalloproteinase-sensitive peptides for novel diagnostic and therapeutic strategies in arthritis.Bioactive materials · 2025Review
- Integrative cartilage repair using acellular allografts for engineered structure and surface lubrication in vivo.NPJ Regenerative medicine · 2024Article
- Cartilage Integrity: A Review of Mechanical and Frictional Properties and Repair Approaches in Osteoarthritis.Healthcare (Basel, Switzerland) · 2024Review
- Bioinformatics Identification and Experimental Verification of Disulfidptosis-Related Genes in the Progression of Osteoarthritis.Biomedicines · 2024Article
- Zooming in and Out of Programmed Cell Death in Osteoarthritis: A Scientometric and Visualized Analysis.Journal of inflammation research · 2024Review
- Strategy insight: Mechanical properties of biomaterials' influence on hydrogel-mesenchymal stromal cell combination for osteoarthritis therapy.Frontiers in pharmacology · 2023Review
- Material properties and strain distribution patterns of bovine growth plate cartilage vary with anatomic location and depth.Journal of biomechanics · 2022Article
- Assessing collagen alterations in enzymatic degradation models of osteoarthritis via second harmonic generation microscopy.Osteoarthritis and cartilage · 2021Article
- Recellularization and Integration of Dense Extracellular Matrix by Percolation of Tissue Microparticles.Advanced functional materials · 2021Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveQuantitative, micrometer length scale assessment of human articular cartilage is essential to enable progress toward new functional tissue engineering approaches, including utilization of emerging 3D bioprinting technologies, and for improved computational modeling of the osteochondral unit. Thus the objective of this study was to characterize the structural organization, material properties, and chemical composition of human skeletally mature articular cartilage with respect to depth and defined morphological features: normal to the articulating surface, parallel to the split-line, and transverse to the split-line.
methodThree samples from the lateral femoral condyles of 4 healthy adult donors (55-61 years old) were evaluated via histology, second harmonic generation, microindentation, and Raman spectroscopy. All metrics were evaluated as a function of depth and direction relative to the split-line.
resultsAll donors presented with intact and healthy tissue. Collagen fiber orientation varied significantly between testing directions and with increasing depth from the articular surface. Both compressive and tensile modulus increased significantly with depth and differed across the middle and deep zones and depended on orthogonal direction relative to the split-line. Similarly, matrix components varied with both depth and direction, where chondroitin sulfate steadily increased with depth while collagen prevalence was highest in the surface layer.
conclusionsMicroscale measurements of human articular cartilage demonstrate that properties are both depth-dependent and orthotropic and depend on the underlying tissue structure and composition. These findings improve upon existing knowledge establishing more accurate measurements, with greater degree of depth and spatial specificity, as inputs for tissue engineering and computational modeling.
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