Elsevier

Bone

Volume 51, Issue 2, August 2012, Pages 265-277
Bone

Original Full Length Article
Biological markers in osteoarthritis

https://doi.org/10.1016/j.bone.2012.04.001Get rights and content

Abstract

Osteoarthritis (OA) is considered as a chronic disease with a long “silent” period. The diagnosis is generally based on clinical symptoms and radiographic changes. However X-ray has a poor sensitivity and a relatively large precision error that does not allow an early detection of OA or the monitoring of joint damage progression. The limitations of the tools that are currently available for OA assessment have been the impetus to identify specific biological markers that reflect quantitative and dynamic variations in joint remodeling. Research has focused on the structural components of cartilage matrix, especially type II collagen degradation markers. In spite of a significant increase of some markers in individuals with early stage of OA, the large overlap with control subjects indicates that the current biomarkers used alone have limited diagnostic potential. However, the combination of specific markers seems to improve the prediction of disease progression at the individual level. Several types of treatment have been investigated but the lack of medications with definitively demonstrated chondroprotective activity has limited the assessment of the potential role of biomarkers for monitoring patients' responses to the treatment of OA. In this review, we will use the BIPED classification that appeared in 2006 for OA markers to describe the potential usage of a given marker [5].

This article is part of a Special Issue entitled "Osteoarthritis".

Highlights

► At individual level, the current markers have limited diagnostic potential. ► Several markers have been shown to correlate with the burden of disease. ► The combined used of markers could assist the prediction of disease progression. ► For monitoring patients' responses to treatment markers might provide relevant information.

Introduction

Osteoarthritis (OA) is the most frequent chronic musculoskeletal disease affecting approximately 40% of adults aged over 70 years [1]. It is considered as a slowly progressive disease altering all tissues of the affected joint and appearing as a degradation of cartilage, the hallmark of OA, but also a mild-to-moderate synovial inflammation and an alteration of subchondral bone structure. OA is considered as a chronic disease with a long “silent” period that can be compared to a heart attack or stroke that represents the end stage of long-simmering cardiovascular disease [2]. Until now, the gold standard to estimate the extent of the disease is plain radiography. During the last years, radiographic positioning has been improved as well as other elements of the radiographic protocol but the relatively large precision error and its poor sensitivity do not allow early detection of joint degradation and the monitoring of potential treatments. Magnetic resonance imaging (MRI) is a more sensitive imaging method but it is still used less often than X-rays due to cost and limited availability. MRI scans show cartilage, bone, synovial effusion and ligaments. Finally, arthroscopy allows a direct view of the cartilage surface but even if it is a minimal invasive surgical procedure it cannot be routinely applied to large number of patients.

Conventional laboratory markers such as high sensitive C-reactive protein (hsCRP) have been shown to be elevated in early phases of OA [3] suggesting the presence of low grade inflammation, which supports a pathophysiological role of inflammation at early stages of the disease process. However because BMI is highly correlated with hsCRP, when both obesity and hsCRP are evaluated simultaneously, hsCRP does not remain significantly associated with incident knee OA [4]. Given the limitations of the tools that are currently available for OA assessment, there is considerable interest in the identification of specific biological markers that reflect quantitative and dynamic variations in joint tissue remodeling.

In this revue, we briefly describe the tissue origin and focus on the main characteristics of markers using the BIPED classification [5]. For additional considerations regarding to the notions of qualification and validation of biomarkers, the reader can refer to the revue published last year by the OARSI FDA Osteoarthritis Biomarkers Working Group [6].

Section snippets

Conventional markers of bone metabolism

The organic component of bone matrix is mainly composed of type I collagen linked by cross-linking molecules in the telopeptides regions (pyridinoline: PYD and deoxypyridinoline: DPD). However type I collagen can be found in most other connective tissues throughout the body. During the degradation processes, PYD/DPD crosslinks are mainly released in the circulation as small peptides from the telopeptide regions and urinary excretion is significantly elevated in patients with OA suggesting an

Conclusion

In summary, the review of the most recent data indicates that some markers could be of value to predict OA progression and assess therapeutic response, although they have still limitations. Indeed, none of them can still be considered as a valid tool for the diagnosis and the prognosis of OA in routine clinical practice. As recently reviewed [159], [160] developing specific and sensitive biochemical markers that could be used as surrogate endpoints is challenging. The lack of gold imaging

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      Citation Excerpt :

      Radiographs present positive results only after major progression of the disease. Magnetic resonance imaging (MRI) is a more sensitive imaging method display synovial effusion, cartilage, ligaments, and bone [10]. Arthroscopy is a minimally invasive surgical procedure, shows a direct view of the cartilage surface nonetheless it could not be usually useful to all of the patients [11].

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