Classification of osteoarthritis biomarkers: a proposed approach

Bauer, Douglas C.; Hunter, David J.; Abramson, Steven B.; Attur, Mukundan; Corr, Maripat; Felson, David T.; Heinegård, Dick; Jordan, Joanne M.; Kepler, Thomas B.; Lane, Nancy E.; Saxne, Tore; B., Tyree,; Kraus, Virginia B.

doi:10.1016/j.joca.2006.04.001

Cited by 336 publications

(302 citation statements)

References 17 publications

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“…The Burden of disease, Investigative, Prognostic, Efficacy of intervention, Diagnostic, and Safety classification has been proposed to categorize human markers of OA (35,36). Alternative classification systems use breakdown products of collagen or proteoglycan or levels of inflammatory mediators as biomarkers of disease initiation and progression.…”

Section: Molecular Biomarkersmentioning

confidence: 99%

Animal Models of Osteoarthritis: Challenges of Model Selection and Analysis

Teeple

Jay

Elsaid

et al. 2013

AAPS J

175

192

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ABSTRACT. Osteoarthritis (OA) is the most common musculoskeletal disease, affecting millions of individuals worldwide. New treatment approaches require an understanding of the pathophysiology of OA and its biomechanical, inflammatory, genetic, and environmental risk factors. The purpose of animal models of OA is to reproduce the pattern and progression of degenerative damage in a controlled fashion, so that opportunities to monitor and modulate symptoms and disease progression can be identified and new therapies developed. This review discusses the features, strengths, and weaknesses of the common animal models of OA; considerations to be taken when choosing a method for experimental induction of joint degeneration; and the challenges of measuring of OA progression and symptoms in these models.

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Section: Molecular Biomarkersmentioning

confidence: 99%

Animal Models of Osteoarthritis: Challenges of Model Selection and Analysis

Teeple

Jay

Elsaid

et al. 2013

AAPS J

175

192

View full text Add to dashboard Cite

show abstract

“…Biomarkers in OA can be categorized as burden of disease, investigative, prognostic, efficacy of intervention and diagnostic classification scheme, which were developed by the Osteoarthritis Biomarkers Network with the aim of providing a common framework for communication in the field. [17] Biochemical markers in blood, urine or synovial fluid samples may demonstrate dynamic and quantitative changes in joint remodeling. Increased rate of bone remodeling in early-stage OA may cause alteration in load transmission that predisposes to progressive cartilage loss.…”

Section: Discussionmentioning

confidence: 99%

Is there crosstalk between subchondral bone, cartilage, and meniscus in the pathogenesis of osteoarthritis?

Atik

Erdoğan

Seymen

et al. 2016

Eklem Hastalik Cerrahisi

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“…In Table 3, liver disease biomarkers analyzed in clinical trials is organized according to the new BIPED classification of biomarkers recently introduced in the field of cartilage diseases [7].…”

Section: Classification Of Liver Fibrosis Biomarkers According To Bipedmentioning

confidence: 99%

Serum Markers of Liver Fibrosis: Combining the BIPED Classification and the Neo-Epitope Approach in the Development of New Biomarkers

et al. 2010

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Abstract.Background: Fibrosis is a central histological feature of chronic liver diseases and is characterized by the accumulation and reorganization of the extracellular matrix. The gold standard for assessment of fibrosis is histological evaluation of a percutaneous liver biopsy. Albeit a considerable effort have been invested in finding alternative non-invasive approaches, these have not been sufficiently succesfull to replace biopsy assessment. Aim: To identify the extracellular matrix proteins of interest, that as protein degradation fragments produced during extracellular matrix metabolism neo-epitopes, may be targeted for novel biochemical marker development in fibrosis. We used the recently proposed BIPED system (Burden of disease, Investigative, Prognostic, Efficacy and Diagnostic) to characterise present serological markers. Methods: Pubmed was search for keywords; Liver fibrosis, neo-epitopes, biomarkers, clinical trail, extra cellular matrix, protease, degradation, fragment. Results and Conclusion: Implementation of BIPED categorization in the development and validation of fibrosis biomarkers to simplify and standardize the use of existing and future biomarkers seems advantageous. In addition, a systematic use of the neoepitope approach, i.e. the quantification of peptide epitopes generated from enzymatic cleavage of proteins during extracellular remodeling, may prove productive in the quest to find new markers of liver fibrosis.

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Classification of osteoarthritis biomarkers: a proposed approach

Abstract: The BIPED classification provides specific biomarker definitions with the goal of improving our ability to develop and analyze OA biomarkers, and to communicate these advances within a common framework.

Cited by 336 publications

References 17 publications

Animal Models of Osteoarthritis: Challenges of Model Selection and Analysis

Animal Models of Osteoarthritis: Challenges of Model Selection and Analysis

Is there crosstalk between subchondral bone, cartilage, and meniscus in the pathogenesis of osteoarthritis?

Serum Markers of Liver Fibrosis: Combining the BIPED Classification and the Neo-Epitope Approach in the Development of New Biomarkers

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