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Comparative Study
. 2009;11(3):R96.
doi: 10.1186/ar2741. Epub 2009 Jun 23.

Degradome expression profiling in human articular cartilage

Affiliations
Comparative Study

Degradome expression profiling in human articular cartilage

Tracey E Swingler et al. Arthritis Res Ther. 2009.

Abstract

Introduction: The molecular mechanisms underlying cartilage destruction in osteoarthritis are poorly understood. Proteolysis is a key feature in the turnover and degradation of cartilage extracellular matrix where the focus of research has been on the metzincin family of metalloproteinases. However, there is strong evidence to indicate important roles for other catalytic classes of proteases, with both extracellular and intracellular activities. The aim of this study was to profile the expression of the majority of protease genes in all catalytic classes in normal human cartilage and that from patients with osteoarthritis (OA) using a quantitative method.

Methods: Human cartilage was obtained from femoral heads at joint replacement for either osteoarthritis or following fracture to the neck of femur (NOF). Total RNA was purified, and expression of genes assayed using Taqman low-density array quantitative RT-PCR.

Results: A total of 538 protease genes were profiled, of which 431 were expressed in cartilage. A total of 179 genes were differentially expressed in OA versus NOF cartilage: eight aspartic proteases, 44 cysteine proteases, 76 metalloproteases, 46 serine proteases and five threonine proteases. Wilcoxon ranking as well as the LogitBoost-NR machine learning approach were used to assign significance to each gene, with the most highly ranked genes broadly similar using each method.

Conclusions: This study is the most complete quantitative analysis of protease gene expression in cartilage to date. The data help give direction to future research on the specific function(s) of individual proteases or protease families in cartilage and may help to refine anti-proteolytic strategies in OA.

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Figures

Figure 1
Figure 1
Genes showing most significant differential expression between osteoarthritis and fracture groups. Box and whisker plot for all genes displaying a statistical significance of P < 0.0001 by Mann-Whitney U test. For full gene names, see Tables 3 to 6. SDHA, succinate dehydrogenase subunit A; n.d., not detected.
Figure 2
Figure 2
Ranking of genes. (a) Rank scores by the Wilcoxon text. (b) Rank scores by the LogitBoost-NR algorithm.

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References

    1. Wieland HA, Michaelis M, Kirschbaum BJ, Rudolphi KA. Osteoarthritis – an untreatable disease? Nat Rev Drug Discov. 2005;4:331–344. doi: 10.1038/nrd1693. - DOI - PubMed
    1. Rengel Y, Ospelt C, Gay S. Proteinases in the joint: clinical relevance of proteinases in joint destruction. Arthritis Res Ther. 2007;9:221. doi: 10.1186/ar2304. - DOI - PMC - PubMed
    1. Rowan AD, Litherland GJ, Hui W, Milner JM. Metalloproteases as potential therapeutic targets in arthritis treatment. Expert Opin Ther Targets. 2008;12:1–18. doi: 10.1517/14728222.12.1.1. - DOI - PubMed
    1. Milner JM, Elliott SF, Cawston TE. Activation of procollagenases is a key control point in cartilage collagen degradation: interaction of serine and metalloproteinase pathways. Arthritis Rheum. 2001;44:2084–2096. doi: 10.1002/1529-0131(200109)44:9<2084::AID-ART359>3.0.CO;2-R. - DOI - PubMed
    1. Dejica VM, Mort JS, Laverty S, Percival MD, Antoniou J, Zukor DJ, Poole AR. Cleavage of type II collagen by cathepsin K in human osteoarthritic cartilage. Am J Pathol. 2008;173:161–169. doi: 10.2353/ajpath.2008.070494. - DOI - PMC - PubMed

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