Literature DB >> 17991472

Measuring fixed charge density of goat articular cartilage using indentation methods and biochemical analysis.

Nhu-An T Le1, Braden C Fleming.   

Abstract

An important indicator of osteoarthritis (OA) progression is the loss of proteoglycan (PG) aggregates from the cartilage tissue. Using the indentation creep test, two analytical methods, as previously developed by Lu et al. [Lu, X. L., Miller, C., Chen, F. H., Guo, X. E., Mow, V. C., 2007. The generalized triphasic correspondence principle for simultaneous determination of the mechanical properties and proteoglycan content of articular cartilage by indentation. Journal of Biomechanics 40, 2434-2441 (EPub).], for predicting the fixed charge density (FCD) of goat knee articular cartilage in the normal (control) and degenerated states were compared: (1) a "dual-stage" method to calculate FCD from the mechanical properties of the tissue when tested in isotonic and hypertonic solutions; and (2) a "single-stage" method to predict FCD (as in (1)) assuming an intrinsic Poisson's ratio of 0.05 in the hypertonic state. A biochemical analysis using 1,9-dimethylmethylene blue (DMMB) assay was conducted to directly measure PG content, and hence FCD. The association between the FCD and the aggregate modulus of the tissue was also explored. The mean (+/-S.D.) FCD values measured using the dual-stage method were the closest (control: 0.129+/-0.039, degenerated: 0.046+/-029) to the DMMB results (control: 0.125+/-0.034, degenerated: 0.057+/-0.024) as compared to those of the single-stage method (control: 0.147+/-0.035, degenerated: 0.063+/-0.026). The single-stage method was more reliable (r(2)=0.81) when compared to the dual-stage method (r(2)=0.79). A prediction of FCD from the aggregate modulus generated the least reliable FCD prediction (r(2)=0.68). Because both the dual- and single-stage methods provided reliable FCD estimates for normal and degenerated tissue, the less time-consuming single-stage method was concluded to be the ideal technique for predicting FCD and hence PG content of the tissue.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17991472      PMCID: PMC2288547          DOI: 10.1016/j.jbiomech.2007.09.035

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  29 in total

1.  23Na MRI accurately measures fixed charge density in articular cartilage.

Authors:  Erik M Shapiro; Arijitt Borthakur; Alexander Gougoutas; Ravinder Reddy
Journal:  Magn Reson Med       Date:  2002-02       Impact factor: 4.668

2.  Chemical basis for the histological use of safranin O in the study of articular cartilage.

Authors:  L Rosenberg
Journal:  J Bone Joint Surg Am       Date:  1971-01       Impact factor: 5.284

3.  Cartilage interstitial fluid load support in unconfined compression following enzymatic digestion.

Authors:  Ines M Basalo; Robert L Mauck; Terri-Ann N Kelly; Steven B Nicoll; Faye H Chen; Clark T Hung; Gerard A Ateshian
Journal:  J Biomech Eng       Date:  2004-12       Impact factor: 2.097

Review 4.  Articular cartilage biomechanics: theoretical models, material properties, and biosynthetic response.

Authors:  E M Hasler; W Herzog; J Z Wu; W Müller; U Wyss
Journal:  Crit Rev Biomed Eng       Date:  1999

Review 5.  Fluid transport and mechanical properties of articular cartilage: a review.

Authors:  V C Mow; M H Holmes; W M Lai
Journal:  J Biomech       Date:  1984       Impact factor: 2.712

6.  Fibril reinforced poroelastic model predicts specifically mechanical behavior of normal, proteoglycan depleted and collagen degraded articular cartilage.

Authors:  Rami K Korhonen; Mikko S Laasanen; Juha Töyräs; Reijo Lappalainen; Heikki J Helminen; Jukka S Jurvelin
Journal:  J Biomech       Date:  2003-09       Impact factor: 2.712

7.  Indentation determined mechanoelectrochemical properties and fixed charge density of articular cartilage.

Authors:  X Lux Lu; Daniel D N Sun; X Edward Guo; Faye H Chen; W Michael Lai; Van C Mow
Journal:  Ann Biomed Eng       Date:  2004-03       Impact factor: 3.934

8.  Variations in the intrinsic mechanical properties of human articular cartilage with age, degeneration, and water content.

Authors:  C G Armstrong; V C Mow
Journal:  J Bone Joint Surg Am       Date:  1982-01       Impact factor: 5.284

9.  Experimental knee instability: early mechanical property changes in articular cartilage in a rabbit model.

Authors:  J M Lane; E Chisena; J Black
Journal:  Clin Orthop Relat Res       Date:  1979-05       Impact factor: 4.176

10.  Anisotropic strain-dependent material properties of bovine articular cartilage in the transitional range from tension to compression.

Authors:  Nadeen O Chahine; Christopher C-B Wang; Clark T Hung; Gerard A Ateshian
Journal:  J Biomech       Date:  2004-08       Impact factor: 2.712

View more
  4 in total

1.  A conductivity approach to measuring fixed charge density in intervertebral disc tissue.

Authors:  Alicia R Jackson; Tai-Yi Yuan; Chun-Yuh Huang; Wei Yong Gu
Journal:  Ann Biomed Eng       Date:  2009-09-11       Impact factor: 3.934

2.  Determining Tension-Compression Nonlinear Mechanical Properties of Articular Cartilage from Indentation Testing.

Authors:  Xingyu Chen; Yilu Zhou; Liyun Wang; Michael H Santare; Leo Q Wan; X Lucas Lu
Journal:  Ann Biomed Eng       Date:  2015-08-04       Impact factor: 3.934

3.  Altered responsiveness to TGF-β results in reduced Papss2 expression and alterations in the biomechanical properties of mouse articular cartilage.

Authors:  Girish Ramaswamy; Philip Sohn; Alan Eberhardt; Rosa Serra
Journal:  Arthritis Res Ther       Date:  2012-03-06       Impact factor: 5.156

4.  Role of cell-matrix interactions on VIC phenotype and tissue deposition in 3D PEG hydrogels.

Authors:  Sarah T Gould; Kristi S Anseth
Journal:  J Tissue Eng Regen Med       Date:  2013-10-16       Impact factor: 3.963

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.