Literature DB >> 23220557

Direct assessment of articular cartilage and underlying subchondral bone reveals a progressive gene expression change in human osteoarthritic knees.

C-H Chou1, C-H Lee, L-S Lu, I-W Song, H-P Chuang, S-Y Kuo, J-Y Wu, Y-T Chen, V B Kraus, C-C Wu, M T M Lee.   

Abstract

<span class="abstract_title">OBJECTIVE: To evaluate the interaction of <span class="Disease">articular cartilage (AC) and subchondral bone (SB) through analysis of osteoarthritis (OA)-related genes of site-matched tissue.
DESIGN: We developed a novel method for isolating site-matched overlying AC and underlying SB from three and four regions of interest respectively from the human knee tibial plateau (n = 50). For each site, the severity of cartilage changes of OA were assessed histologically, and the severity of bone abnormalities were assessed by microcomputed tomography. An RNA isolation procedure was optimized that yielded high quality RNA from site-matched AC and SB tibial regions. Quantitative polymerase chain reaction (Q-PCR) analysis was performed to evaluate gene expression of 61 OA-associated genes for correlation with cartilage integrity and bone structure parameters.
RESULTS: A total of 27 (44%) genes were coordinately up- or down-regulated in both tissues. The expression levels of 19 genes were statistically significantly correlated with the severity of AC degeneration and changes of SB structure; these included: ADAMTS1, ASPN, BMP6, BMPER, CCL2, CCL8, COL5A1, COL6A3, COL7A1, COL16A1, FRZB, GDF10, MMP3, OGN, OMD, POSTN, PTGES, TNFSF11 and WNT1.
CONCLUSIONS: These results provide a strategy for identifying targets whose modification may have the potential to ameliorate pathological alterations and progression of disease in both AC and SB simultaneously. In addition, this is the first study, to our knowledge, to overcome the major difficulties related to isolation of high quality RNA from site-matched joint tissues. We expect this method to facilitate advances in our understanding of the coordinated molecular responses of the whole joint organ.
Copyright © 2012 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23220557      PMCID: PMC3593157          DOI: 10.1016/j.joca.2012.11.016

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


  47 in total

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Authors:  David B Burr
Journal:  Osteoarthritis Cartilage       Date:  2004       Impact factor: 6.576

2.  Changes in the three-dimensional microstructure of human tibial cancellous bone in early osteoarthritis.

Authors:  M Ding; A Odgaard; I Hvid
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3.  Subchondral bone in osteoarthritis.

Authors:  M D Grynpas; B Alpert; I Katz; I Lieberman; K P Pritzker
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Review 4.  Pathophysiology of peri-articular bone changes in osteoarthritis.

Authors:  H Weinans; M Siebelt; R Agricola; S M Botter; T M Piscaer; J H Waarsing
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5.  Alteration of cartilage metabolism by cells from osteoarthritic bone.

Authors:  C I Westacott; G R Webb; M G Warnock; J V Sims; C J Elson
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10.  Topographical analysis of the structural, biochemical and dynamic biomechanical properties of cartilage in an ovine model of osteoarthritis.

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Journal:  Osteoarthritis Cartilage       Date:  2003-01       Impact factor: 6.576

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  34 in total

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2.  TSG-6 - a double-edged sword for osteoarthritis (OA).

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Journal:  Osteoarthritis Cartilage       Date:  2017-11-09       Impact factor: 6.576

3.  Genome-wide mapping of DNA hydroxymethylation in osteoarthritic chondrocytes.

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5.  Elevated expression of periostin in human osteoarthritic cartilage and its potential role in matrix degradation via matrix metalloproteinase-13.

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6.  Proteomic analysis of synovial fluid identifies periostin as a biomarker for anterior cruciate ligament injury.

Authors:  R H Brophy; L Cai; X Duan; Q Zhang; R R Townsend; R M Nunley; F Guilak; M F Rai
Journal:  Osteoarthritis Cartilage       Date:  2019-08-17       Impact factor: 6.576

7.  Insights into osteoarthritis progression revealed by analyses of both knee tibiofemoral compartments.

Authors:  C-H Chou; M T M Lee; I-W Song; L-S Lu; H-C Shen; C-H Lee; J-Y Wu; Y-T Chen; V B Kraus; C-C Wu
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8.  Predictive validity of biochemical biomarkers in knee osteoarthritis: data from the FNIH OA Biomarkers Consortium.

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Review 9.  Human genome-wide expression analysis reorients the study of inflammatory mediators and biomechanics in osteoarthritis.

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10.  Evaluation of cartilage degeneration in a rat model of rotator cuff tear arthropathy.

Authors:  Erik J Kramer; Blake M Bodendorfer; Dominique Laron; Jason Wong; Hubert T Kim; Xuhui Liu; Brian T Feeley
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