ArticleTissue engineering. Part C, Methods2015
Matrix Production in Large Engineered Cartilage Constructs Is Enhanced by Nutrient Channels and Excess Media Supply.
Article in Tissue engineering. Part C, Methods, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 43 citations in OpenAlex.
- Cell-only bioprinting of articular cartilage progenitor cells within a physically constraining support bath to engineer structurally organized grafts.Bioactive materials · 2026Article
- Xanthan Gum-Iron System: Natural, Mechanically Tunable, Bioactive, and Magnetic-Responsive Hydrogels for Biomedical Engineering Applications.ACS applied materials & interfaces · 2025Article
- Physiologic Doses of Transforming Growth Factor-β Improve the Composition of Engineered Articular Cartilage.Tissue engineering. Part A · 2025Article
- Cell mediated reactions create TGF-β delivery limitations in engineered cartilage.Acta biomaterialia · 2024Article
- Continuum Growth Mechanics: Reconciling Two Common Frameworks.Journal of biomechanical engineering · 2024Article
- A dynamically loadedFrontiers in cell and developmental biology · 2024Article
- Bioprinting of Stem Cell Spheroids Followed by Post-Printing Chondrogenic Differentiation for Cartilage Tissue Engineering.Advanced healthcare materials · 2023Article
- Generation and evaluation of input values for computational analysis of transport processes within tissue cultures.Engineering in life sciences · 2022Review
- Functional tissue engineering of articular cartilage for biological joint resurfacing-The 2021 Elizabeth Winston Lanier Kappa Delta Award.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2022Article
- A multiphasic model for determination of water and solute transport across the arterial wall: effects of elastic fiber defects.Archive of applied mechanics = Ingenieur-Archiv · 2022Article
- Regulation of chondrocyte biosynthetic activity by dynamic hydrostatic pressure: the role of TRP channels.Connective tissue research · 2022Article
- Fabrication and maturation of integrated biphasic anatomic mesenchymal stromal cell-laden composite scaffolds for osteochondral repair and joint resurfacing.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2021Article
- Engineering large, anatomically shaped osteochondral constructs with robust interfacial shear properties.NPJ Regenerative medicine · 2021Article
- Optimized Media Volumes Enable Homogeneous Growth of Mesenchymal Stem Cell-Based Engineered Cartilage Constructs.Tissue engineering. Part A · 2021Article
- Treatment of Focal Cartilage Defects in Minipigs with Zonal Chondrocyte/Mesenchymal Progenitor Cell Constructs.International journal of molecular sciences · 2019Article
- Review
- Towards the scale up of tissue engineered intervertebral discs for clinical application.Acta biomaterialia · 2018Article
- A modular approach to creating large engineered cartilage surfaces.Journal of biomechanics · 2018Article
- Raman spectroscopic imaging for quantification of depth-dependent and local heterogeneities in native and engineered cartilage.NPJ Regenerative medicine · 2018Article
- Enhanced nutrient transport improves the depth-dependent properties of tri-layered engineered cartilage constructs with zonal co-culture of chondrocytes and MSCs.Acta biomaterialia · 2017Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 2 countries.
Funding
Abstract
Cartilage tissue engineering is a promising approach to resurfacing osteoarthritic joints. Existing techniques successfully engineer small-sized constructs with native levels of extracellular matrix (glycosaminoglycans [GAG] or collagen). However, a remaining challenge is the growth of large-sized constructs with properties similar to those of small constructs, due to consumption and transport limitations resulting in inadequate nutrient availability within the interior of large constructs. This study employed system-specific computational models for estimating glucose requirements of large constructs, with or without channels, to enhance nutrient availability. Based on glucose requirements for matrix synthesis in cartilage constructs, computational simulations were performed to identify the media volume (MV) and the number of nutrient channels (CH) needed to maintain adequate glucose levels within tissue constructs over the 3-day period between media replenishments. In Study 1, the influence of MV (5, 10, 15 mL/construct) and number of nutrient channels (CH: 0, 3, 7, 12 per construct) on glucose availability was investigated computationally for ∅10 × 2.34 mm cylindrical constructs. Results showed that the conventionally used MV 5 led to deleterious glucose depletion after only 40 h of culture, and that MV 15 was required to maintain sufficient glucose levels for all channel configurations. Study 2 examined experimentally the validity of these predictions, for tissue constructs cultured for 56 days. Matrix elaboration was highest in MV 15/CH 12 constructs (21.6% ± 2.4%/ww GAG, 5.5% ± 0.7%/ww collagen, normalized to wet weight (ww) on day 0), leading to the greatest amount of swelling (3.0 ± 0.3 times day-0 volume), in contrast to the significantly lower matrix elaboration of conventional culture, MV 5/CH 0 (11.8% ± 1.6%/ww GAG and 2.5% ± 0.6%/ww collagen, 1.6 ± 0.1 times day-0 volume). The computational analyses correctly predicted the need to increase the conventional media levels threefold to support matrix synthesis in large channeled engineered constructs. Results also suggested that more elaborate computational models are needed for accurate predictive tissue engineering simulations, which account for a broader set of nutrients, cell proliferation, matrix synthesis, and swelling of the constructs.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.