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Republished: Value of biomarkers in osteoarthritis: current status and perspectives

Republished: Value of biomarkers in osteoarthritis: current status and perspectives
Republished: Value of biomarkers in osteoarthritis: current status and perspectives
Osteoarthritis affects the whole joint structure with progressive changes in cartilage, menisci, ligaments and subchondral bone, and synovial inflammation. Biomarkers are being developed to quantify joint remodelling and disease progression. This article was prepared following a working meeting of the European Society for Clinical and Economic Aspects of Osteoporosis and Osteoarthritis convened to discuss the value of biochemical markers of matrix metabolism in drug development in osteoarthritis. The best candidates are generally molecules or molecular fragments present in cartilage, bone or synovium and may be specific to one type of joint tissue or common to them all. Many currently investigated biomarkers are associated with collagen metabolism in cartilage or bone, or aggrecan metabolism in cartilage. Other biomarkers are related to non-collagenous proteins, inflammation and/or fibrosis. Biomarkers in osteoarthritis can be categorised using the burden of disease, investigative, prognostic, efficacy of intervention, diagnostic and safety classification. There are a number of promising candidates, notably urinary C-terminal telopeptide of collagen type II and serum cartilage oligomeric protein, although none is sufficiently discriminating to differentiate between individual patients and controls (diagnostic) or between patients with different disease severities (burden of disease), predict prognosis in individuals with or without osteoarthritis (prognostic) or perform so consistently that it could function as a surrogate outcome in clinical trials (efficacy of intervention). Future avenues for research include exploration of underlying mechanisms of disease and development of new biomarkers; technological development; the 'omics' (genomics, metabolomics, proteomics and lipidomics); design of aggregate scores combining a panel of biomarkers and/or imaging markers into single diagnostic algorithms; and investigation into the relationship between biomarkers and prognosis.
0032-5473
171-178
Lotz, M.
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Martel-Pelletier, J.
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Christiansen, C.
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Brandi, M.-L.
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Bruyère, O.
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Chapurlat, R.
9435221c-55dc-4b28-a6ee-4b2a05b35674
Collette, J.
1bfd0a67-7825-4858-9996-214594e6e42b
Cooper, Cyrus
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Giacovelli, G.
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Kanis, J.A.
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Karsdal, M.A.
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Kraus, V.
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Lems, W.F.
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Meulenbelt, I.
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Pelletier, J.-P.
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Raynauld, J.-P.
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Reiter-Niesert, S.
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Rizzoli, R.
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Sandell, L.J.
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Van Spil, W.E.
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Reginster, J.-Y.
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Lotz, M.
42da25d7-0d93-4274-a82a-dae26289188b
Martel-Pelletier, J.
f35bfb7f-d2c4-4f42-8218-cfdad2fc55b7
Christiansen, C.
b1993f77-2024-4daf-b5d8-1ce837315564
Brandi, M.-L.
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Bruyère, O.
855151e7-5d67-44ef-a7bd-b1d0898b432a
Chapurlat, R.
9435221c-55dc-4b28-a6ee-4b2a05b35674
Collette, J.
1bfd0a67-7825-4858-9996-214594e6e42b
Cooper, Cyrus
e05f5612-b493-4273-9b71-9e0ce32bdad6
Giacovelli, G.
4ec1b75c-19d3-439b-af57-c41028c4e804
Kanis, J.A.
8da04a36-08a7-4310-b4b4-a6d432439587
Karsdal, M.A.
356ced2d-35bf-4c65-be6b-9bdf43f7dd89
Kraus, V.
bfee6d11-83ba-4552-a9c9-d2d24ee379b1
Lems, W.F.
f9b48664-e72e-4c09-8a27-03eae2517883
Meulenbelt, I.
f02e5902-5916-40f5-bdff-b02355cd348d
Pelletier, J.-P.
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Raynauld, J.-P.
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Reiter-Niesert, S.
a28560e4-6ea8-419d-9958-dadcc149c07d
Rizzoli, R.
2214fb77-8fb7-4c0b-bfc4-9f8d3cace5d7
Sandell, L.J.
acf5bcde-390e-40df-b5bb-ab9705e0627c
Van Spil, W.E.
79c6ca87-d5b2-45c2-a42c-22f72ab8a986
Reginster, J.-Y.
8b548609-99db-46ae-a28a-7967ba8c7483

Lotz, M., Martel-Pelletier, J., Christiansen, C., Brandi, M.-L., Bruyère, O., Chapurlat, R., Collette, J., Cooper, Cyrus, Giacovelli, G., Kanis, J.A., Karsdal, M.A., Kraus, V., Lems, W.F., Meulenbelt, I., Pelletier, J.-P., Raynauld, J.-P., Reiter-Niesert, S., Rizzoli, R., Sandell, L.J., Van Spil, W.E. and Reginster, J.-Y. (2014) Republished: Value of biomarkers in osteoarthritis: current status and perspectives. Postgraduate Medical Journal, 90 (1061), 171-178. (doi:10.1136/postgradmedj-2013-203726rep). (PMID:8670576)

Record type: Article

Abstract

Osteoarthritis affects the whole joint structure with progressive changes in cartilage, menisci, ligaments and subchondral bone, and synovial inflammation. Biomarkers are being developed to quantify joint remodelling and disease progression. This article was prepared following a working meeting of the European Society for Clinical and Economic Aspects of Osteoporosis and Osteoarthritis convened to discuss the value of biochemical markers of matrix metabolism in drug development in osteoarthritis. The best candidates are generally molecules or molecular fragments present in cartilage, bone or synovium and may be specific to one type of joint tissue or common to them all. Many currently investigated biomarkers are associated with collagen metabolism in cartilage or bone, or aggrecan metabolism in cartilage. Other biomarkers are related to non-collagenous proteins, inflammation and/or fibrosis. Biomarkers in osteoarthritis can be categorised using the burden of disease, investigative, prognostic, efficacy of intervention, diagnostic and safety classification. There are a number of promising candidates, notably urinary C-terminal telopeptide of collagen type II and serum cartilage oligomeric protein, although none is sufficiently discriminating to differentiate between individual patients and controls (diagnostic) or between patients with different disease severities (burden of disease), predict prognosis in individuals with or without osteoarthritis (prognostic) or perform so consistently that it could function as a surrogate outcome in clinical trials (efficacy of intervention). Future avenues for research include exploration of underlying mechanisms of disease and development of new biomarkers; technological development; the 'omics' (genomics, metabolomics, proteomics and lipidomics); design of aggregate scores combining a panel of biomarkers and/or imaging markers into single diagnostic algorithms; and investigation into the relationship between biomarkers and prognosis.

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Published date: March 2014
Organisations: Faculty of Medicine

Identifiers

Local EPrints ID: 363180
URI: http://eprints.soton.ac.uk/id/eprint/363180
ISSN: 0032-5473
PURE UUID: 91179e69-6ca0-4b32-92a6-d6cbe3eeedd2
ORCID for Cyrus Cooper: ORCID iD orcid.org/0000-0003-3510-0709

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Date deposited: 21 Mar 2014 09:58
Last modified: 03 Dec 2019 01:58

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Contributors

Author: M. Lotz
Author: J. Martel-Pelletier
Author: C. Christiansen
Author: M.-L. Brandi
Author: O. Bruyère
Author: R. Chapurlat
Author: J. Collette
Author: Cyrus Cooper ORCID iD
Author: G. Giacovelli
Author: J.A. Kanis
Author: M.A. Karsdal
Author: V. Kraus
Author: W.F. Lems
Author: I. Meulenbelt
Author: J.-P. Pelletier
Author: J.-P. Raynauld
Author: S. Reiter-Niesert
Author: R. Rizzoli
Author: L.J. Sandell
Author: W.E. Van Spil
Author: J.-Y. Reginster

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