Literature DB >> 10788309

Cryobiology of articular cartilage: ice morphology and recovery of chondrocytes.

K Muldrew1, K Novak, H Yang, R Zernicke, N S Schachar, L E McGann.   

Abstract

The cryopreservation of articular cartilage chondrocytes has been achieved with cells isolated from the cartilage matrix but has found only limited success when the tissue is left intact. Previous work with ovine cartilage has shown that cryopreservation of the chondrocytes of the superficial and deep zones is possible, but the cells of the intermediate zone have not been successfully cryopreserved. This finding led to the suggestion that there might be biological differences between chondrocytes of the different morphological zones that were responsible for this differential recovery. This study investigates the hypothesis that the cells of the intermediate zone are more sensitive to cryoinjury by introducing cuts in the cartilage so that cells of the intermediate zone have the same proximity to the outer surface of the tissue as the cells of the superficial zone. When this was done, it was found that cells of the intermediate zone could survive cryopreservation as well as the cells of the superficial zone when they were near a surface, but not when they were embedded deep within the tissue. Thus the hypothesis of a biological difference between the cells of the two zones being responsible for the differential recovery is disproved. It is further hypothesized that physical proximity to a surface leads to higher recovery as a result of planar ice growth into the cartilage. Copyright 2000 Academic Press.

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Year:  2000        PMID: 10788309     DOI: 10.1006/cryo.2000.2236

Source DB:  PubMed          Journal:  Cryobiology        ISSN: 0011-2240            Impact factor:   2.487


  12 in total

1.  Spatiotemporal measurement of freezing-induced deformation of engineered tissues.

Authors:  Ka Yaw Teo; J Craig Dutton; Bumsoo Han
Journal:  J Biomech Eng       Date:  2010-03       Impact factor: 2.097

2.  Effects of freezing-induced cell-fluid-matrix interactions on the cells and extracellular matrix of engineered tissues.

Authors:  Ka Yaw Teo; Tenok O DeHoyos; J Craig Dutton; Frederick Grinnell; Bumsoo Han
Journal:  Biomaterials       Date:  2011-05-05       Impact factor: 12.479

3.  Effects of cryopreservation on the depth-dependent elastic modulus in articular cartilage and implications for osteochondral grafting.

Authors:  David Kahn; Clifford Les; Yang Xia
Journal:  J Biomech Eng       Date:  2015-03-06       Impact factor: 2.097

4.  Effect of vitrification on mechanical properties of porcine articular cartilage.

Authors:  Jenny He; Itai Wine; Kezhou Wu; Johnathan Sevick; Leila Laouar; Nadr M Jomha; Lindsey Westover
Journal:  Proc Inst Mech Eng H       Date:  2022-09-28       Impact factor: 1.763

5.  Thermomechanical analysis of freezing-induced cell-fluid-matrix interactions in engineered tissues.

Authors:  Bumsoo Han; Ka Yaw Teo; Soham Ghosh; J Craig Dutton; Frederick Grinnell
Journal:  J Mech Behav Biomed Mater       Date:  2012-11-10

6.  Freeze-thaw treatment effects on the dynamic mechanical properties of articular cartilage.

Authors:  Matthew Szarko; Ken Muldrew; John Ea Bertram
Journal:  BMC Musculoskelet Disord       Date:  2010-10-08       Impact factor: 2.362

7.  Cryoprotectant transport through articular cartilage for long-term storage: experimental and modeling studies.

Authors:  I N Mukherjee; Y Li; Y C Song; R C Long; A Sambanis
Journal:  Osteoarthritis Cartilage       Date:  2008-06-09       Impact factor: 6.576

8.  Freezing-induced fluid-matrix interaction in poroelastic material.

Authors:  Bumsoo Han; Jeffrey D Miller; Jun K Jung
Journal:  J Biomech Eng       Date:  2009-02       Impact factor: 2.097

9.  Damages to the extracellular matrix in articular cartilage due to cryopreservation by microscopic magnetic resonance imaging and biochemistry.

Authors:  Shaokuan Zheng; Yang Xia; Aruna Bidthanapally; Farid Badar; Itamar Ilsar; Nick Duvoisin
Journal:  Magn Reson Imaging       Date:  2008-12-23       Impact factor: 2.546

10.  A Bayesian approach to optimizing cryopreservation protocols.

Authors:  Sammy Sambu
Journal:  PeerJ       Date:  2015-06-25       Impact factor: 2.984

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